From 3ee90cd1ddedcf40376039891b02c0149c493037 Mon Sep 17 00:00:00 2001
From: Norbert Ryciak <ryciak@rexamine.com>
Date: Mon, 10 Jul 2017 09:52:43 +0200
Subject: [PATCH] roszerzenie analiz z modelem MLP, badania sieci Tree-LSTM i jej modyfyfikacji

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 data/recenzje_rozbicie_na_slowa.conll              | 19020 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 main_for_experiments_on_polish_data_LSTM.py        |   483 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++---------------
 main_for_experiments_on_polish_data_MLP2.py        |    12 ++++++------
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 results/wyniki_sst_MLP2.txt                        |    56 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 22 files changed, 49035 insertions(+), 4244 deletions(-)
 create mode 100644 data/recenzje_rozbicie_na_slowa.conll
 create mode 100644 results/Predykcje/klasyfikacje.txt
 create mode 100644 results/Predykcje/klasyfikacje_bez_slow.txt
 create mode 100644 results/Predykcje/klasyfikacje_bledne.txt
 create mode 100644 results/Predykcje/klasyfikacje_bledne_bez_slow.txt

diff --git a/data/recenzje_rozbicie_na_slowa.conll b/data/recenzje_rozbicie_na_slowa.conll
new file mode 100644
index 0000000..41bb474
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+1 przechodzi przechodzić fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 opbok opbok subst subst sg|nom|m1 0 subj _ _ _
+
+1 mnie ja ppron12 ppron12 sg|acc|f|pri|akc 0 obj _ _ _
+
+1 czuję czuć fin fin sg|pri|imperf 0 pred _ _ _
+
+1 zdecydowaną zdecydowany adj adj sg|acc|f|pos 0 adjunct _ _ S
+
+1 woń woń subst subst sg|acc|f 0 obj _ _ A
+
+1 limonki limonka subst subst sg|gen|f 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 cytrusów cytrus subst subst pl|gen|m3 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Gucci guct subst subst pl|nom|m1 0 subj _ _ _
+
+1 Rush rusha subst subst pl|gen|f 0 adjunct _ _ _
+
+1 można można pred pred _ 0 pred _ _ _
+
+1 dać dać inf inf perf 0 conjunct _ _ _
+
+1 jako jako conj conj _ 0 comp _ _ _
+
+1 prezent prezent subst subst sg|nom|m3 0 conjunct _ _ _
+
+1 bliskiej bliski adj adj sg|dat|f|pos 0 adjunct _ _ S
+
+1 osobie osoba subst subst sg|dat|f 0 app _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mam mieć fin fin sg|pri|imperf 0 pred _ _ _
+
+1 pojemność pojemność subst subst sg|acc|f 0 conjunct _ _ _
+
+1 100ml 100ml tsym tsym _ 0 adjunct _ _ _
+
+1 , , interp interp _ 0 comp _ _ _
+
+1 flakon flakon subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ciężki ciężki adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 tylko tylko conj conj _ 0 adjunct _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 stacjonarnego stacjonarny adj adj sg|gen|n|pos 0 adjunct _ _ _
+
+1 używania używać ger ger sg|gen|n|imperf|aff 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ciekawy,\ Ciekawy,\ tsym tsym _ 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 niemęczący męczyć pact pact sg|nom|m3|imperf|neg 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 fajny fajny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 desing desing subst subst sg|acc|m3 0 pred _ _ _
+
+1 butelki butelka subst subst sg|gen|f 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 pred _ _ _
+
+1 prawdziwego prawdziwy adj adj sg|gen|m1|pos 0 adjunct _ _ S
+
+1 faceta facet subst subst sg|gen|m1 0 comp _ _ A
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Połączenie połączyć ger ger sg|nom|n|perf|aff 0 pred _ _ S
+
+1 stylu styl subst subst sg|gen|m3 0 conjunct _ _ _
+
+1 i i conj conj _ 0 obj _ _ _
+
+1 elegancji elegancja subst subst sg|gen|f 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Chanel chanela subst subst pl|gen|f 0 pd _ _ _
+
+1 Coco coco adv adv pos 0 adjunct _ _ _
+
+1 Mademoisella mademoisella subst subst sg|nom|f 0 subj _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 raczej raczej qub qub _ 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 zdecydowany zdecydowany adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nie nie qub qub _ 0 neg _ _ _
+
+1 drażni drażnić fin fin sg|ter|imperf 0 pred _ _ S
+
+1 nawet nawet qub qub _ 0 adjunct _ _ _
+
+1 po po prep prep loc 0 adjunct _ _ _
+
+1 całym cały adj adj sg|loc|m3|pos 0 adjunct _ _ _
+
+1 dniu dzień subst subst sg|loc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Redukuje redukować fin fin sg|ter|imperf 0 pred _ _ _
+
+1 przykrą przykry adj adj sg|acc|f|pos 0 adjunct _ _ S
+
+1 woń woń subst subst sg|acc|f 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 jak jak conj conj _ 0 adjunct _ _ _
+
+1 by by qub qub _ 0 adjunct _ _ _
+
+1 uniwersalny uniwersalny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 za za prep prep inst 0 pred _ _ _
+
+1 razem raz subst subst sg|inst|m3 0 comp _ _ _
+
+1 w w prep prep acc|nwok 0 adjunct _ _ _
+
+1 jakiś jakiś adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 sposób sposób subst subst sg|acc|m3 0 comp _ _ _
+
+1 magiczny magiczny adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Wyrazisty wyrazisty adj adj sg|nom|m1|pos 0 pred _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 odrobiną odrobina subst subst sg|inst|f 0 comp _ _ A
+
+1 słodyczy słodycz subst subst sg|gen|f 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Świetna świetny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 butelka butelka subst subst sg|nom|f 0 conjunct _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 opakowanie opakować ger ger sg|nom|n|perf|aff 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Różni różnić fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 od od prep prep gen|nwok 0 comp _ _ _
+
+1 sztandarowych sztandarowy adj adj pl|gen|n|pos 0 adjunct _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 comp _ _ _
+
+1 CHANEL chanela subst subst pl|gen|f 0 adjunct _ _ _
+
+1 No5 No5 tsym tsym _ 0 adjunct _ _ _
+
+1 nowoczesnym nowoczesny adj adj sg|inst|m3|pos 0 adjunct _ _ S
+
+1 zapachem zapach subst subst sg|inst|m3 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 fenomenalny fenomenalny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecenia polecić ger ger sg|gen|n|perf|aff 0 pred _ _ _
+
+1 godny godny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 letnie letni adj adj pl|acc|m3|pos 0 adjunct _ _ _
+
+1 wieczory wieczór subst subst pl|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|n 0 pred _ _ _
+
+1 umieszczone umieścić ppas ppas pl|nom|n|perf|aff 0 adjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 nowoczesnym nowoczesny adj adj sg|loc|m3|pos 0 adjunct _ _ S
+
+1 flakonie flakon subst subst sg|loc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Pasuje pasować fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 mężczyzny mężczyzna subst subst sg|gen|m1 0 comp _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 podkreśla podkreślać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 jego on ppron3 ppron3 sg|gen|m1|ter|akc|npraep 0 adjunct _ _ _
+
+1 męskość męskość subst subst sg|acc|f 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jak jak conj conj _ 0 adjunct _ _ _
+
+1 mój mój adj adj sg|nom|m1|pos 0 adjunct _ _ _
+
+1 mężczyzna mężczyzna subst subst sg|nom|m1 0 subj _ _ A
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 nimi on ppron3 ppron3 pl|inst|f|ter|nakc|npraep 0 adjunct _ _ _
+
+1 psikał psikać praet praet sg|m1|imperf 0 adjunct _ _ _
+
+1 to to subst subst sg|acc|n 0 obj _ _ _
+
+1 naprawdę naprawdę qub qub _ 0 adjunct _ _ _
+
+1 pięknie pięknie adv adv pos 0 adjunct _ _ _
+
+1 pachniał pachnieć praet praet sg|m1|imperf 0 pred _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 pred _ _ _
+
+1 ludzi człowiek subst subst pl|gen|m1 0 comp _ _ A
+
+1 energicznych energiczny adj adj pl|gen|m1|pos 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jeden jeden adj adj sg|nom|m1|pos 0 pred _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 moich mój adj adj pl|gen|n|pos 0 adjunct _ _ _
+
+1 najbardziej bardzo adv adv sup 0 adjunct _ _ _
+
+1 ulubionych ulubić ppas ppas pl|gen|m3|perf|aff 0 adjunct _ _ S
+
+1 męskich męski adj adj pl|gen|m3|pos 0 adjunct _ _ _
+
+1 zapachów zapach subst subst pl|gen|m3 0 comp _ _ A
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 męska męski adj adj sg|nom|f|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 mocna mocny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 woń woń subst subst sg|nom|f 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Żaden żaden adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 tak tak conj conj _ 0 coord _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 działa działać fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 rewelacyjnie rewelacyjnie adv adv pos 0 adjunct _ _ _
+
+1 jak jak conj conj _ 0 obj _ _ _
+
+1 ten ten adj adj sg|nom|m1|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Świerzy świerzyć fin fin sg|ter|perf 0 pred _ _ _
+
+1 energiczny energiczny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|acc|m3 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Pasuje pasować fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 garnituru garnitur subst subst sg|gen|m3 0 comp _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 do do prep prep gen 0 conjunct _ _ _
+
+1 dresu dres subst subst sg|gen|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 jak jak conj conj _ 0 coord _ _ _
+
+1 wczesny wczesny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 poranek poranek subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ale ale conj conj _ 0 adjunct _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 zapachu zapach subst subst sg|loc|m3 0 comp _ _ A
+
+1 nic nic subst subst sg|acc|n 0 obj _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 traci tracić fin fin sg|ter|imperf 0 pred _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 pred _ _ _
+
+1 energicznych energiczny adj adj pl|gen|m1|pos 0 adjunct _ _ S
+
+1 mężczyzn mężczyzna subst subst pl|gen|m1 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dobry dobry adj adj sg|nom|m1|pos 0 pred _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 nastoletnich nastoletni adj adj pl|gen|m1|pos 0 adjunct _ _ _
+
+1 mężczyzn mężczyzna subst subst pl|gen|m1 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 produkt produkt subst subst sg|nom|m3 0 subj _ _ _
+
+1 mogę móc fin fin sg|pri|imperf 0 pred _ _ _
+
+1 polecić polecić inf inf perf 0 comp_inf _ _ _
+
+1 młodym młody adj adj pl|dat|m1|pos 0 adjunct _ _ S
+
+1 mężczyznom mężczyzna subst subst pl|dat|m1 0 obj_th _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 niezwykle niezwykle adv adv pos 0 adjunct _ _ _
+
+1 świeży świeży adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 aromat aromat subst subst sg|acc|m3 0 obj _ _ A
+
+1 który który adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 podoba podobać fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 pred _ _ _
+
+1 toaletowa toaletowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 Davidoff davidoff subst subst sg|nom|m3 0 app _ _ _
+
+1 Cool coola subst subst pl|gen|f 0 adjunct _ _ _
+
+1 Water water subst subst sg|acc|m3 0 app _ _ _
+
+1 to to pred pred _ 0 adjunct _ _ _
+
+1 zapakowany zapakować ppas ppas sg|nom|m3|perf|aff 0 subj _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 przyjemnej przyjemny adj adj sg|loc|f|pos 0 adjunct _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 oka oko subst subst sg|gen|n 0 comp _ _ _
+
+1 błękitnej błękitny adj adj sg|loc|f|pos 0 adjunct _ _ _
+
+1 butelce butelka subst subst sg|dat|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Wydaje wydawać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 subord _ _ _
+
+1 woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 pasuje pasować fin fin sg|ter|imperf 0 comp_fin _ _ S
+
+1 raczej raczej qub qub _ 0 adjunct _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 starszych stary adj adj pl|gen|m1|comp 0 adjunct _ _ _
+
+1 panów pan subst subst pl|gen|m1 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Flakon flakon subst subst sg|nom|m3 0 pred _ _ A
+
+1 - - interp interp _ 0 punct _ _ _
+
+1 niezwykły niezwykły adj adj sg|nom|m3|pos 0 app _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 pred _ _ A
+
+1 lekko lekko adv adv pos 0 adjunct _ _ _
+
+1 stonowany stonować ppas ppas sg|nom|m3|perf|aff 0 adjunct _ _ S
+
+1 co co subst subst sg|nom|n 0 app _ _ _
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 swojej swój adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 słodkości słodkość subst subst sg|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Kolejna kolejny adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 toaletowa toaletowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 która który adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 urzeka urzekać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 intrygującym intrygować pact pact sg|inst|m3|imperf|aff 0 conjunct _ _ _
+
+1 i i conj conj _ 0 obj _ _ _
+
+1 niespotykanym niespotykany adj adj sg|inst|m3|pos 0 adjunct _ _ S
+
+1 zapachem zapach subst subst sg|inst|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Kusi kusić fin fin sg|ter|imperf 0 pred _ _ _
+
+1 swoim swój adj adj sg|inst|m3|pos 0 adjunct _ _ _
+
+1 wyglądem wygląd subst subst sg|inst|m3 0 conjunct _ _ _
+
+1 jak jak conj conj _ 0 subj _ _ _
+
+1 i i conj conj _ 0 mwe _ _ _
+
+1 intensywną intensywny adj adj sg|inst|f|pos 0 adjunct _ _ S
+
+1 pociągającą pociągający adj adj sg|inst|f|pos 0 adjunct _ _ _
+
+1 wonią woń subst subst sg|inst|f 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Opakowanie opakować ger ger sg|nom|n|perf|aff 0 subj _ _ _
+
+1 doskonale doskonale adv adv pos 0 adjunct _ _ _
+
+1 pasuje pasować fin fin sg|ter|imperf 0 pred _ _ S
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 tego ten adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 zapachu zapach subst subst sg|gen|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ideał ideał subst subst sg|nom|m3 0 pred _ _ S
+
+1 wśród wśród prep prep gen 0 adjunct _ _ _
+
+1 męskich męski adj adj pl|gen|m3|pos 0 adjunct _ _ _
+
+1 zapachów zapach subst subst pl|gen|m3 0 comp _ _ A
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Spokojnie spokojnie adv adv pos 0 adjunct _ _ _
+
+1 mogą móc fin fin pl|ter|imperf 0 pred _ _ _
+
+1 konkurować konkurować inf inf imperf 0 comp_inf _ _ S
+
+1 z z prep prep inst|nwok 0 comp _ _ _
+
+1 nowymi nowy adj adj pl|inst|m3|pos 0 adjunct _ _ _
+
+1 zapachami zapach subst subst pl|inst|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Raczej raczej qub qub _ 0 adjunct _ _ _
+
+1 dla dla prep prep gen 0 pred _ _ _
+
+1 młodych młody adj adj pl|gen|m1|pos 0 adjunct _ _ S
+
+1 facetów facet subst subst pl|gen|m1 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Obecnie obecnie adv adv pos 0 adjunct _ _ _
+
+1 korzystam korzystać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 już już qub qub _ 0 adjunct _ _ _
+
+1 z z prep prep gen|nwok 0 comp _ _ _
+
+1 drugiego drugi adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 flakonu flakon subst subst sg|gen|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nuta nuta subst subst sg|nom|f 0 subj _ _ _
+
+1 serca serce subst subst sg|gen|n 0 adjunct _ _ _
+
+1 pozwoliła pozwolić praet praet sg|f|perf 0 conjunct _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 dorosnąć dorosnąć inf inf perf 0 comp_inf _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 stać stać inf inf imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 kobieta kobieta subst subst sg|nom|f 0 pd _ _ A
+
+1 pożądana pożądany adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Armaniego armani adj adj sg|gen|m3|pos 0 comp _ _ _
+
+1 używali używać praet praet pl|m1|imperf 0 pred _ _ _
+
+1 faceci facet subst subst pl|nom|m1 0 subj _ _ A
+
+1 stateczni stateczny adj adj pl|nom|m1|pos 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nuta nuta subst subst sg|nom|f 0 pred _ _ _
+
+1 zapachowa zapachowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 odpowiednia odpowiedni adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 każdego każdy adj adj sg|gen|m1|pos 0 adjunct _ _ _
+
+1 mężczyzny mężczyzna subst subst sg|gen|m1 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ciekawe ciekawy adj adj sg|nom|n|pos 0 adjunct _ _ S
+
+1 zestawienie zestawić ger ger sg|nom|n|perf|aff 0 subj _ _ _
+
+1 różnych różny adj adj pl|gen|f|pos 0 adjunct _ _ _
+
+1 nutek nutka subst subst pl|gen|f 0 adjunct _ _ A
+
+1 zapachowych zapachowy adj adj pl|gen|f|pos 0 adjunct _ _ _
+
+1 daje dawać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 interesującą interesujący adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 mieszankę mieszanka subst subst sg|acc|f 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Kolarzy kolarz subst subst pl|gen|m1 0 pred _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 seksownym seksowny adj adj sg|inst|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 tajemniczym tajemniczy adj adj sg|inst|m1|pos 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 zadbanym zadbać ppas ppas sg|loc|m1|perf|aff 0 adjunct _ _ S
+
+1 mężczyzną mężczyzna subst subst sg|inst|m1 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Opakowanie opakować ger ger sg|nom|n|perf|aff 0 conjunct _ _ _
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 flakonik flakonik subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 skromne skromny adj adj pl|nom|f|pos 0 adjunct _ _ S
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 zupełnie zupełnie adv adv pos 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 obrazują obrazować fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 tego to subst subst sg|gen|n 0 obj _ _ _
+
+1 co co subst subst sg|nom|n 0 subj _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 nich on ppron3 ppron3 pl|loc|f|ter|nakc|praep 0 comp _ _ _
+
+1 znajduje znajdywać fin fin sg|ter|imperf 0 subj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardziej bardzo adv adv comp 0 pred _ _ _
+
+1 na na prep prep acc 0 conjunct _ _ _
+
+1 wyjątkowe wyjątkowy adj adj pl|acc|m3|pos 0 adjunct _ _ S
+
+1 wieczory wieczór subst subst pl|acc|m3 0 comp _ _ A
+
+1 niż niż conj conj _ 0 obj _ _ _
+
+1 do do prep prep gen 0 conjunct _ _ _
+
+1 codziennego codzienny adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 użytku użytek subst subst sg|gen|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Chyba chyba qub qub _ 0 adjunct _ _ _
+
+1 jeden jeden adj adj sg|nom|m1|pos 0 pred _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 najbardziej bardzo adv adv sup 0 adjunct _ _ _
+
+1 kultowych kultowy adj adj pl|gen|m3|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 rozpoznawalnych rozpoznawalny adj adj pl|gen|m3|pos 0 adjunct _ _ _
+
+1 zapachów zapach subst subst pl|gen|m3 0 conjunct _ _ A
+
+1 Armaniego armani adj adj sg|gen|m1|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 A a conj conj _ 0 coord _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 tego to subst subst sg|gen|n 0 comp _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 adjunct _ _ A
+
+1 go on ppron3 ppron3 sg|gen|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 uwielbiają uwielbiać fin fin pl|ter|imperf 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Sto sto num num pl|nom|m3|rec 0 subj _ _ _
+
+1 mililitrów mililitr subst subst pl|gen|m3 0 comp _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 adjunct _ _ _
+
+1 wystarczy wystarczyć fin fin sg|ter|perf 0 pred _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 jakiś jakiś adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 czas czas subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Słodkie słodki adj adj pl|nom|m3|pos 0 adjunct _ _ S
+
+1 aromaty aromat subst subst pl|nom|m3 0 subj _ _ A
+
+1 ananasa ananas subst subst sg|gen|m3 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 papai papaja subst subst sg|gen|f 0 conjunct _ _ _
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 bergamotki bergamotek subst subst pl|nom|m3 0 conjunct _ _ _
+
+1 łączą łączyć fin fin pl|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 z z prep prep inst|nwok 0 comp _ _ _
+
+1 kwiatowym kwiatowy adj adj sg|inst|m3|pos 0 adjunct _ _ _
+
+1 akcentem akcent subst subst sg|inst|m3 0 comp _ _ _
+
+1 fiołka fiołek subst subst sg|gen|m3 0 conjunct _ _ _
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 róży róża subst subst sg|gen|f 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Niby niby prep prep nom 0 conjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 kwestii kwestia subst subst sg|loc|f 0 comp _ _ _
+
+1 gustów gust subst subst pl|gen|m3 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 dyskutuje dyskutować fin fin sg|ter|imperf 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 coord _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 nieziemski nieziemski adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Przeważają przeważać fin fin pl|ter|imperf 0 pred _ _ _
+
+1 nuty nut subst subst pl|nom|m3 0 subj _ _ A
+
+1 lekkie lekki adj adj pl|nom|m3|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 świeże świeży adj adj pl|nom|f|pos 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Podoba podobać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 oszczędny oszczędny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 design design subst subst sg|acc|m3 0 obj _ _ _
+
+1 flakonika flakonik subst subst sg|gen|m3 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cudownie cudownie adv adv pos 0 adjunct _ _ _
+
+1 podkreśla podkreślać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 Twój twój adj adj sg|nom|m1|pos 0 adjunct _ _ _
+
+1 seksapil seksapilić impt impt sg|sec|imperf 0 comp_inf _ _ _
+
+1 pod pod prep prep inst|nwok 0 adjunct _ _ _
+
+1 sportowym sportowy adj adj sg|inst|m1|pos 0 conjunct _ _ _
+
+1 lub lub conj conj _ 0 comp _ _ _
+
+1 wygodnym wygodny adj adj sg|inst|m3|pos 0 adjunct _ _ S
+
+1 strojem strój subst subst sg|inst|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Wtedy wtedy qub qub _ 0 adjunct _ _ _
+
+1 mogę móc fin fin sg|pri|imperf 0 pred _ _ _
+
+1 spokojnie spokojnie adv adv pos 0 adjunct _ _ _
+
+1 usiąść usiąść inf inf perf 0 conjunct _ _ _
+
+1 lub lub conj conj _ 0 obj _ _ _
+
+1 myśleć myśleć inf inf imperf 0 conjunct _ _ _
+
+1 o o prep prep loc 0 comp _ _ _
+
+1 swobodnych swobodny adj adj pl|loc|f|pos 0 adjunct _ _ S
+
+1 rzeczach rzecz subst subst pl|loc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 prześliczny prześliczny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ciekawy ciekawy adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 design design subst subst sg|nom|m3 0 pred _ _ _
+
+1 butelki butelka subst subst sg|gen|f 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 idealny idealny adj adj sg|nom|m1|pos 0 pred _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 zimę zima subst subst sg|acc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Chcecie chcieć fin fin pl|sec|imperf 0 aux _ _ _
+
+1 poczuć poczuć inf inf perf 0 adjunct _ _ _
+
+1 prawdziwy prawdziwy adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|acc|m3 0 obj _ _ A
+
+1 idźcie iść impt impt pl|sec|imperf 0 pred _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 perfumerii perfumeria subst subst sg|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zmysłowy zmysłowy adj adj sg|nom|m1|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 kwiatowy kwiatowy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 romantyczny romantyczny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Uważam uważać fin fin sg|pri|imperf 0 pred _ _ _
+
+1 jednak jednak conj conj _ 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 comp_fin _ _ _
+
+1 tylko tylko qub qub _ 0 adjunct _ _ _
+
+1 stworzony stworzyć ppas ppas sg|nom|m1|perf|aff 0 pd _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ A
+
+1 silnych silny adj adj pl|gen|f|pos 0 adjunct _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 mocno mocno adv adv pos 0 adjunct _ _ _
+
+1 stąpających stąpać pact pact pl|gen|m1|imperf|aff 0 adjunct _ _ _
+
+1 po po prep prep loc 0 adjunct _ _ _
+
+1 ziemi ziemia subst subst sg|loc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Buteleczka buteleczka subst subst sg|nom|f 0 conjunct _ _ A
+
+1 klasyczna klasyczny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 cena cena subst subst sg|nom|f 0 conjunct _ _ _
+
+1 ? ? interp interp _ 0 punct _ _ _
+
+1 Jedno jeden adj adj sg|nom|n|pos 0 adjunct _ _ _
+
+1 psiuknięcie psiuknięcie subst subst sg|nom|n 0 subj _ _ _
+
+1 wystarczy wystarczyć fin fin sg|ter|perf 0 pred _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 cały cały adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 dzień dzień subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ta ten adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 perfumowana perfumować ppas ppas sg|nom|f|imperf|aff 0 pred _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 aux _ _ _
+
+1 zmysłowy zmysłowy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 ciepły ciepły adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Świetny świetny adj adj sg|nom|m1|pos 0 pred _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 wieczór wieczór subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 : : interp interp _ 0 punct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 I i conj conj _ 0 adjunct _ _ _
+
+1 macie mieć fin fin pl|sec|imperf 0 conjunct _ _ _
+
+1 rację-to rację-to subst subst sg|nom|n 0 pd _ _ _
+
+1 dostojny dostojny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|nom|m3 0 app _ _ A
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 nie nie qub qub _ 0 conjunct _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 chłystków chłystek subst subst pl|gen|m1 0 comp _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 dresach dres subst subst pl|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 pred _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 energią energia subst subst sg|inst|f 0 comp _ _ _
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 ludzi człowiek subst subst pl|gen|m1 0 comp _ _ A
+
+1 młodych młody adj adj pl|gen|m1|pos 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 POLECAM polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 DLA dla prep prep gen 0 adjunct _ _ _
+
+1 KAŻDEGO każdy adj adj sg|gen|m1|pos 0 adjunct _ _ _
+
+1 WYRAFINOWANEGO wyrafinowany adj adj sg|gen|m1|pos 0 adjunct _ _ _
+
+1 PANA pan subst subst sg|gen|m1 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 każdego każdy adj adj sg|gen|m1|pos 0 adjunct _ _ _
+
+1 mężczyzny mężczyzna subst subst sg|gen|m1 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|n 0 pred _ _ _
+
+1 wytrzymałe wytrzymały adj adj pl|nom|n|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 wygodny wygodny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 flakon flakon subst subst sg|acc|m3 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Działa działać fin fin sg|ter|imperf 0 pred _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 kobiety kobieta subst subst pl|acc|f 0 comp _ _ A
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Natomiast natomiast conj conj _ 0 coord _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 młodego młody adj adj sg|gen|m1|pos 0 adjunct _ _ S
+
+1 chłopaka chłopak subst subst sg|gen|m1 0 comp _ _ A
+
+1 ? ? interp interp _ 0 punct _ _ _
+
+1 Obowiązkowy obowiązkowy adj adj sg|nom|m1|pos 0 pred _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 randki randka subst subst pl|acc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 każdego każdy adj adj sg|gen|m1|pos 0 adjunct _ _ _
+
+1 faceta facet subst subst sg|gen|m1 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Używany używać ppas ppas sg|nom|m3|imperf|aff 0 pred _ _ _
+
+1 raczej raczej qub qub _ 0 adjunct _ _ _
+
+1 okazjonalnie okazjonalnie adv adv pos 0 adjunct _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 chłodne chłodny adj adj pl|acc|m3|pos 0 adjunct _ _ S
+
+1 wieczory wieczór subst subst pl|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Trudno trudno adv adv pos 0 adjunct _ _ _
+
+1 go on ppron3 ppron3 sg|gen|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 pomylić pomylić inf inf perf 0 pred _ _ S
+
+1 z z prep prep inst|nwok 0 comp _ _ _
+
+1 innym inny adj adj sg|inst|m3|pos 0 adjunct _ _ _
+
+1 zapachem zapach subst subst sg|inst|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 jak jak conj conj _ 0 adjunct _ _ _
+
+1 najbardziej bardzo adv adv sup 0 adjunct _ _ _
+
+1 polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 lato lato subst subst sg|acc|n 0 comp _ _ A
+
+1 Uwagę uwaga subst subst sg|acc|f 0 obj _ _ _
+
+1 zwraca zwracać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 pierwszej pierwszy adj adj sg|loc|f|pos 0 adjunct _ _ _
+
+1 kolejności kolejność subst subst sg|loc|f 0 comp _ _ _
+
+1 niezwykle niezwykle adv adv pos 0 adjunct _ _ _
+
+1 oryginalny oryginalny adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 flakon flakon subst subst sg|acc|m3 0 obj _ _ A
+
+1 – – interp interp _ 0 punct _ _ _
+
+1 metalowa metalowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 kula kula subst subst sg|nom|f 0 app _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 której który adj adj sg|loc|f|pos 0 comp _ _ _
+
+1 trudno trudno adv adv pos 0 adjunct _ _ _
+
+1 znaleźć znaleźć inf inf perf 0 adjunct _ _ _
+
+1 sposób sposób subst subst sg|acc|m3 0 obj _ _ _
+
+1 aplikacji aplikacja subst subst sg|gen|f 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Kojarzy kojarzyć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 z z prep prep inst|nwok 0 comp _ _ _
+
+1 dynamiką dynamika subst subst sg|inst|f 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 słodką słodki adj adj sg|inst|f|pos 0 adjunct _ _ S
+
+1 elegancją elegancja subst subst sg|inst|f 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealne idealny adj adj pl|nom|f|pos 0 pred _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 każdego każdy adj adj sg|gen|m1|pos 0 adjunct _ _ _
+
+1 mężczyzny mężczyzna subst subst sg|gen|m1 0 comp _ _ A
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 pred _ _ _
+
+1 prawdziwego prawdziwy adj adj sg|gen|m1|pos 0 adjunct _ _ S
+
+1 mężczyzny mężczyzna subst subst sg|gen|m1 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 adjunct _ _ _
+
+1 mojego mój adj adj sg|gen|m1|pos 0 adjunct _ _ _
+
+1 męża mąż subst subst sg|gen|m1 0 comp _ _ A
+
+1 woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 pasowała pasować praet praet sg|f|imperf 0 pred _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Męska męski adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 woda woda subst subst sg|nom|f 0 pred _ _ _
+
+1 toaletowa toaletowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 dojrzałych dojrzały adj adj pl|gen|m1|pos 0 adjunct _ _ S
+
+1 panów pan subst subst pl|gen|m1 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 To to pred pred _ 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 przeciętny przeciętny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 nierozumiem nierozumieć fin fin sg|pri|perf 0 conjunct _ _ _
+
+1 ekscytacji ekscytacja subst subst sg|gen|f 0 obj _ _ _
+
+1 niektórych niektóry adj adj pl|gen|m1|pos 0 adjunct _ _ _
+
+1 użytkowników użytkownik subst subst pl|gen|m1 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 w w prep prep loc|nwok 0 comp _ _ _
+
+1 każdym każdy adj adj sg|loc|m3|pos 0 adjunct _ _ _
+
+1 wieku wiek subst subst sg|loc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 trwały trwać praet praet pl|f|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 raczej raczej qub qub _ 0 adjunct _ _ _
+
+1 polecam polecać fin fin sg|pri|imperf 0 conjunct _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 okres okres subst subst sg|acc|m3 0 comp _ _ A
+
+1 zimowy zimowy adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Na na prep prep acc 0 pred _ _ _
+
+1 pewno pewno adv adv pos 0 mwe _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 miłośników miłośnik subst subst pl|gen|m1 0 comp _ _ _
+
+1 wcześniejszych wczesny adj adj pl|gen|m3|comp 0 adjunct _ _ S
+
+1 zapachów zapach subst subst pl|gen|m3 0 adjunct _ _ A
+
+1 tej ten adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 linii linia subst subst sg|gen|f 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|n 0 pred _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 dojrzałych dojrzały adj adj pl|gen|m1|pos 0 adjunct _ _ S
+
+1 mężczyzn mężczyzna subst subst pl|gen|m1 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dobry dobry adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 wieczorne wieczorny adj adj pl|acc|n|pos 0 adjunct _ _ _
+
+1 wyjścia wyjście subst subst pl|acc|n 0 comp _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 do do prep prep gen 0 conjunct _ _ _
+
+1 codziennego codzienny adj adj sg|gen|n|pos 0 adjunct _ _ _
+
+1 użytkowania użytkować ger ger sg|gen|n|imperf|aff 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 I i conj conj _ 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 lubię lubić fin fin sg|pri|imperf 0 pred _ _ S
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 moim mój adj adj sg|loc|m1|pos 0 adjunct _ _ _
+
+1 mężczyźnie mężczyzna subst subst sg|loc|m1 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Tytuł tytuł subst subst sg|nom|m3 0 subj _ _ _
+
+1 chyba chyba qub qub _ 0 adjunct _ _ _
+
+1 mówi mówić fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 wszystko wszystko subst subst sg|acc|n 0 obj _ _ _
+
+1 ; ; interp interp _ 0 coord_punct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 super super xxx xxx _ 0 adjunct _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 baaardzo baaardzo adv adv pos 0 adjunct _ _ _
+
+1 trwały trwać praet praet pl|f|imperf 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 mega mega subst subst sg|nom|f 0 conjunct _ _ _
+
+1 owocowy owocowy adj adj sg|nom|m1|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 a a conj conj _ 0 conjunct _ _ _
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 tego to subst subst sg|gen|n 0 comp _ _ _
+
+1 wcale wcale qub qub _ 0 conjunct _ _ _
+
+1 a a conj conj _ 0 conjunct _ _ _
+
+1 wcale wcale qub qub _ 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 czuć czuć inf inf imperf 0 conjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 nim on ppron3 ppron3 sg|loc|m3|ter|akc|praep 0 comp _ _ _
+
+1 alkoholu alkohol subst subst sg|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 głęboki głęboki adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 aksamitny aksamitny adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 kobiecy kobiecy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 MA mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 NIESAMOWITY niesamowity adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 ZAPACH zapach subst subst sg|acc|m3 0 obj _ _ A
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 wyjątkowy wyjątkowy adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 klimat klimat subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 słodki słodki adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 przepełniony przepełnić ppas ppas sg|acc|m3|perf|aff 0 adjunct _ _ _
+
+1 optymizmem optymizm subst subst sg|inst|m3 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bo bo conj conj _ 0 adjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 końcu koniec subst subst sg|loc|m3 0 comp _ _ _
+
+1 pochodzą pochodzić fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 z z prep prep gen|nwok 0 comp _ _ _
+
+1 jednego jeden adj adj sg|gen|m3|pos 0 comp _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 najlepszych dobry adj adj pl|gen|m3|sup 0 adjunct _ _ S
+
+1 domów dom subst subst pl|gen|m3 0 comp _ _ A
+
+1 mody moda subst subst sg|gen|f 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 mianowicie mianowicie qub qub _ 0 adjunct _ _ _
+
+1 Versace versac subst subst pl|nom|m3 0 conjunct _ _ _
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 zostały zostać praet praet pl|f|perf 0 conjunct _ _ _
+
+1 wylansowanie wylansować ger ger sg|acc|n|perf|aff 0 obj _ _ _
+
+1 przez przez prep prep acc|nwok 0 comp _ _ _
+
+1 samą sam adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 Donatellę donatella subst subst sg|acc|f 0 comp _ _ _
+
+1 , , interp interp _ 0 conjunct _ _ _
+
+1 właścicielkę właścicielka subst subst sg|acc|f 0 conjunct _ _ _
+
+1 ww wwa subst subst pl|gen|f 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Całość całość subst subst sg|nom|f 0 pred _ _ _
+
+1 umieszczona umieścić ppas ppas sg|nom|f|perf|aff 0 adjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 niepowtarzalnym niepowtarzalny adj adj sg|loc|m3|pos 0 adjunct _ _ S
+
+1 flakonie flakon subst subst sg|loc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Pasuje pasować fin fin sg|ter|imperf 0 pred _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 specjalny specjalny adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 wieczór wieczór subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Śliczna śliczny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 buteleczka buteleczka subst subst sg|nom|f 0 conjunct _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 różowy różowy adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 kolor kolor subst subst sg|nom|m3 0 pd _ _ _
+
+1 płynu płyn subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 to to pred pred _ 0 conjunct _ _ _
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 kropka kropka subst subst sg|nom|f 0 app _ _ _
+
+1 nad nad prep prep inst|nwok 0 adjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Długotrwały długotrwały adj adj sg|nom|m1|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 powabny powabny adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 prowokujący prowokować pact pact sg|acc|m3|imperf|aff 0 adjunct _ _ S
+
+1 flirt flirt subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 zmysłowy zmysłowy adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 coord _ _ _
+
+1 ciężki ciężki adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 J'adore j'adory adj adj pl|nom|f|pos 0 adjunct _ _ _
+
+1 Diora dior subst subst sg|gen|m3 0 pred _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 to to conj conj _ 0 subj _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 app _ _ A
+
+1 niepowtarzalny niepowtarzalny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 jedyny jedyny adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 swoim swój adj adj sg|loc|m3|pos 0 adjunct _ _ _
+
+1 rodziaju rodziaje subst subst sg|loc|n 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 perfumowana perfumować ppas ppas sg|nom|f|imperf|aff 0 adjunct _ _ _
+
+1 J'adore j'adory adj adj pl|nom|f|pos 0 adjunct _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 przepiękny przepiękny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|nom|m3 0 pd _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 choć choć conj conj _ 0 comp_fin _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 każdemu każdy adj adj sg|dat|m1|pos 0 obj_th _ _ _
+
+1 może móc fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 przypaść przypaść inf inf perf 0 comp_inf _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 gustu gust subst subst sg|gen|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealny idealny adj adj sg|nom|m1|pos 0 pred _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 wieczór wieczór subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Poza poza prep prep inst 0 comp _ _ _
+
+1 tym to subst subst sg|inst|n 0 comp _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 świetny świetny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 flakonik flakonik subst subst sg|acc|m3 0 adjunct _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 który który adj adj sg|nom|m3|pos 0 subj _ _ _
+
+1 odróżnia odróżniać fin fin sg|ter|imperf 0 adjunct _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 od od prep prep gen|nwok 0 comp _ _ _
+
+1 innych inny adj adj pl|gen|n|pos 0 adjunct _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 comp _ _ _
+
+1 : : interp interp _ 0 punct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 Butelka butelka subst subst sg|nom|f 0 pred _ _ A
+
+1 stylowa stylowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 wygodna wygodny adj adj sg|nom|f|pos 0 conjunct _ _ S
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 użyciu użyć ger ger sg|loc|n|perf|aff 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mój mój adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 ukochany ukochany adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 szaleje szaleć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 za za prep prep inst 0 comp _ _ _
+
+1 tymi ten adj adj pl|inst|n|pos 0 adjunct _ _ _
+
+1 perfumami perfumy subst subst pl|inst|n 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 rewelacyjny rewelacyjny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|acc|m3 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 gdyż gdyż conj conj _ 0 coord _ _ _
+
+1 zawiera zawierać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 wyciągi wyciąg subst subst pl|acc|m3 0 obj _ _ _
+
+1 m m subst subst sg|nom|m3 0 subj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 No no qub qub _ 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 śliczny śliczny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 flakonik flakonik subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Posiada posiadać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ciekawy ciekawy adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|acc|m3 0 obj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 który który adj adj sg|nom|m3|pos 0 subj _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 odpowiadał odpowiadać praet praet sg|m1|imperf 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 W w prep prep loc|nwok 0 pred _ _ _
+
+1 wyjątkowej wyjątkowy adj adj sg|loc|f|pos 0 adjunct _ _ S
+
+1 butelce butelka subst subst sg|loc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 żadna żaden adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 rewelacja rewelacja subst subst sg|nom|f 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mają mieć fin fin pl|ter|imperf 0 pred _ _ _
+
+1 one ony adj adj pl|nom|m3|pos 0 adjunct _ _ _
+
+1 wyjątkowy wyjątkowy adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 który który adj adj sg|nom|m3|pos 0 subj _ _ _
+
+1 długo długo adv adv pos 0 adjunct _ _ _
+
+1 utrzymuje utrzymywać fin fin sg|ter|imperf 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 skórze skóra subst subst sg|loc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dopasowuje dopasowywać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 osobowości osobowość subst subst sg|gen|f 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 ubioru ubiór subst subst sg|gen|m3 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 dodając dodawać pcon pcon imperf 0 adjunct _ _ _
+
+1 im im conj conj _ 0 obj _ _ _
+
+1 odrobinę odrobina subst subst sg|acc|f 0 obj _ _ A
+
+1 luksusu luksus subst subst sg|gen|m3 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zdecydowanie zdecydowanie adv adv pos 0 adjunct _ _ _
+
+1 działa działać fin fin sg|ter|imperf 0 pred _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 mężczyzn mężczyzna subst subst pl|gen|m1 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Buteleczka buteleczka subst subst sg|nom|f 0 conjunct _ _ A
+
+1 prosta prosty adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 coord _ _ _
+
+1 nawet nawet qub qub _ 0 adjunct _ _ _
+
+1 poręczna poręczny adj adj sg|nom|f|pos 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 pred _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ A
+
+1 romantycznych romantyczny adj adj pl|gen|f|pos 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealne idealny adj adj sg|nom|n|pos 0 conjunct _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 wieczorne wieczorny adj adj pl|acc|n|pos 0 adjunct _ _ _
+
+1 wyjścia wyjście subst subst pl|acc|n 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 także także qub qub _ 0 adjunct _ _ _
+
+1 na na prep prep acc 0 pred _ _ _
+
+1 codzień codzień subst subst sg|acc|m3 0 comp _ _ _
+
+1 - - interp interp _ 0 punct _ _ _
+
+1 np npa subst subst pl|gen|f 0 app _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ładny ładny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 uwodzicielski uwodzicielski adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 perfumowana perfumować ppas ppas sg|nom|f|imperf|aff 0 adjunct _ _ _
+
+1 Lacoste lacosty adj adj pl|nom|f|pos 0 adjunct _ _ _
+
+1 Pour pour subst subst sg|nom|m2 0 app _ _ _
+
+1 Femme femmój adj adj sg|acc|n|pos 0 adjunct _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 śliczny śliczny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|nom|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 czy czy qub qub _ 0 pred _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 uroczy uroczy adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 wieczór wieczór subst subst sg|acc|m3 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 czy czy conj conj _ 0 comp_fin _ _ _
+
+1 do do prep prep gen 0 conjunct _ _ _
+
+1 pracy praca subst subst sg|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|n 0 pred _ _ _
+
+1 o o prep prep loc 0 adjunct _ _ _
+
+1 niepospolitym niepospolity adj adj sg|loc|m3|pos 0 adjunct _ _ S
+
+1 zapachu zapach subst subst sg|loc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nadaje nadawać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 młodych młody adj adj pl|gen|f|pos 0 adjunct _ _ S
+
+1 osób osoba subst subst pl|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Skierowany skierować ppas ppas sg|nom|m3|perf|aff 0 pred _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 bardziej bardzo adv adv comp 0 adjunct _ _ _
+
+1 odważnych odważny adj adj pl|gen|f|pos 0 adjunct _ _ S
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 W w prep prep acc|nwok 0 pred _ _ _
+
+1 sam sam adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 raz raz subst subst sg|acc|m3 0 comp _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 przeciętnej przeciętny adj adj sg|gen|f|pos 0 adjunct _ _ S
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zupełnie zupełnie adv adv pos 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 narzucający narzucać pact pact sg|nom|m1|imperf|aff 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 dyskretny dyskretny adj adj sg|nom|m1|pos 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 odpowiedni odpowiedni adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 co co subst subst sg|acc|n 0 comp _ _ _
+
+1 dzień dzień subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 każdy każdy adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 dzień dzień subst subst sg|nom|m3 0 adjunct _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 to to pred pred _ 0 conjunct _ _ _
+
+1 święto święto subst subst sg|nom|n 0 subj _ _ S
+
+1 ; ; interp interp _ 0 coord_punct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 Naprawdę naprawdę qub qub _ 0 adjunct _ _ _
+
+1 pasuje pasować fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 każdej każdy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 powala powalać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 kolana kolano subst subst pl|acc|n 0 comp _ _ _
+
+1 inne inny adj adj pl|acc|n|pos 0 adjunct _ _ _
+
+1 perfumy perfumy subst subst pl|acc|n 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 sobie się siebie siebie loc 0 comp _ _ _
+
+1 coś coś subst subst sg|acc|n 0 obj _ _ _
+
+1 takiego taki adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 co co subst subst sg|nom|n 0 subj _ _ _
+
+1 powoduje powodować fin fin sg|ter|imperf 0 comp_inf _ _ _
+
+1 zachwyt zachwyt subst subst sg|acc|m3 0 obj _ _ S
+
+1 od od prep prep gen|nwok 0 adjunct _ _ _
+
+1 pierwszego pierwszy adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 węchu węch subst subst sg|gen|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nazwa nazwa subst subst sg|nom|f 0 pred _ _ _
+
+1 zapachu zapach subst subst sg|gen|m3 0 adjunct _ _ A
+
+1 myląca mylić pact pact sg|nom|f|imperf|aff 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Uwagę uwaga subst subst sg|acc|f 0 obj _ _ _
+
+1 przyciąga przyciągać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 również również qub qub _ 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ciekawy ciekawy adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 design design subst subst sg|acc|m3 0 obj _ _ _
+
+1 flakonika flakonik subst subst sg|gen|m3 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Świetny świetny adj adj sg|nom|m1|pos 0 pred _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 lato lato subst subst sg|acc|n 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 kwiatowy kwiatowy adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 coord _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 duszący dusić pact pact sg|nom|m3|imperf|aff 0 conjunct _ _ S
+
+1 - - interp interp _ 0 obj _ _ _
+
+1 lekki lekki adj adj sg|nom|m1|pos 0 pd _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Opakowanie opakować ger ger sg|nom|n|perf|aff 0 conjunct _ _ _
+
+1 i i conj conj _ 0 subj _ _ _
+
+1 buteleczka buteleczka subst subst sg|nom|f 0 conjunct _ _ A
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 zachęcają zachęcać fin fin pl|ter|imperf 0 pred _ _ S
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 kupna kupno subst subst sg|gen|n 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 wyprofilowana wyprofilować ppas ppas sg|nom|f|perf|aff 0 adjunct _ _ _
+
+1 butelka butelka subst subst sg|nom|f 0 pred _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardziej bardzo adv adv comp 0 adjunct _ _ _
+
+1 polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 wyjścia wyjście subst subst pl|acc|n 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 zimę zima subst subst sg|acc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Propozycja propozycja subst subst sg|nom|f 0 pred _ _ S
+
+1 czegoś coś subst subst sg|gen|n 0 adjunct _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 letnie letni adj adj pl|acc|n|pos 0 adjunct _ _ _
+
+1 wakacje wakacje subst subst pl|acc|n 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Na na prep prep acc 0 pred _ _ _
+
+1 pewno pewno adv adv pos 0 mwe _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ A
+
+1 aktywnej aktywny adj adj sg|gen|f|pos 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Odpowiedni odpowiedni adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 wieczór wieczór subst subst sg|acc|m3 0 comp _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 na na prep prep acc 0 conjunct _ _ _
+
+1 codzień codzień subst subst sg|acc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Flakonik flakonik subst subst sg|nom|m3 0 subj _ _ A
+
+1 uroczy uroczy adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 przykuwa przykuwać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 wzrok wzrok subst subst sg|acc|m3 0 obj _ _ _
+
+1 Chyba chyba qub qub _ 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardziej bardzo adv adv comp 0 adjunct _ _ _
+
+1 popularnego popularny adj adj sg|gen|m3|pos 0 adjunct _ _ S
+
+1 zapachu zapach subst subst sg|gen|m3 0 comp _ _ A
+
+1 - - interp interp _ 0 punct _ _ _
+
+1 już już qub qub _ 0 adjunct _ _ _
+
+1 sam sam adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 fakt fakt subst subst sg|nom|m3 0 app _ _ _
+
+1 o o prep prep loc 0 adjunct _ _ _
+
+1 czymś coś subst subst sg|loc|n 0 comp _ _ _
+
+1 świuadczy świuadczy adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nawet nawet qub qub _ 0 adjunct _ _ _
+
+1 na na prep prep acc 0 pred _ _ _
+
+1 romantyczną romantyczny adj adj sg|acc|f|pos 0 adjunct _ _ S
+
+1 kolację kolacja subst subst sg|acc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Flakonik flakonik subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 przepiękny przepiękny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 aż aż conj conj _ 0 coord _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 chce chcieć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 mieć mieć inf inf imperf 0 comp_inf _ _ _
+
+1 go on ppron3 ppron3 sg|gen|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 wyeksponowanego wyeksponować ppas ppas sg|gen|m3|perf|aff 0 adjunct _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 toaletce toaletka subst subst sg|loc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 urzekły urzec praet praet pl|f|perf 0 pred _ _ S
+
+1 mnie ja ppron12 ppron12 sg|acc|f|pri|akc 0 obj _ _ _
+
+1 dopiero dopiero qub qub _ 0 adjunct _ _ _
+
+1 po po prep prep loc 0 adjunct _ _ _
+
+1 pewnym pewny adj adj sg|loc|m3|pos 0 adjunct _ _ _
+
+1 czasie czas subst subst sg|loc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dobry dobry adj adj sg|nom|m1|pos 0 pred _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 starszych stary adj adj pl|gen|f|comp 0 adjunct _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ A
+
+1 raczej raczej qub qub _ 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dolce dolka subst subst sg|dat|f 0 obj_th _ _ _
+
+1 & & interp interp _ 0 punct _ _ _
+
+1 Gabbana gabbana subst subst sg|nom|f 0 app _ _ _
+
+1 stworzony stworzyć ppas ppas sg|nom|m3|perf|aff 0 adjunct _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ A
+
+1 nowoczesnej nowoczesny adj adj sg|gen|f|pos 0 adjunct _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 kobiecej kobiecy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|n 0 pred _ _ _
+
+1 Dolce& Dolce& tsym tsym _ 0 adjunct _ _ _
+
+1 Gabbana gabbana subst subst sg|nom|f 0 app _ _ _
+
+1 The thy adj adj pl|acc|n|pos 0 adjunct _ _ _
+
+1 One ony adj adj pl|acc|f|pos 0 adjunct _ _ _
+
+1 - - interp interp _ 0 mwe _ _ _
+
+1 Zapach zapach subst subst sg|acc|m3 0 app _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 który który adj adj sg|nom|m3|pos 0 subj _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 nudzi nudzić fin fin sg|ter|imperf 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jeden jeden adj adj sg|nom|m1|pos 0 pred _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 częściej często adv adv comp 0 adjunct _ _ _
+
+1 podrabianych podrabiać ppas ppas pl|gen|m3|imperf|aff 0 adjunct _ _ S
+
+1 zapachów zapach subst subst pl|gen|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfum perfumy subst subst pl|gen|n 0 obj _ _ _
+
+1 polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 wieczorną wieczorny adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 kolację kolacja subst subst sg|acc|f 0 comp _ _ A
+
+1 we w prep prep acc|wok 0 adjunct _ _ _
+
+1 dwoje dwa num num pl|acc|n|rec 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dolce dolka subst subst sg|dat|f 0 obj_th _ _ _
+
+1 & & interp interp _ 0 punct _ _ _
+
+1 Gabbana gabbana subst subst sg|nom|f 0 app _ _ _
+
+1 Light Light ign ign _ 0 adjunct _ _ _
+
+1 Blue blue subst subst sg|gen|n 0 comp _ _ _
+
+1 to to subst subst sg|nom|n 0 subj _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 app _ _ A
+
+1 ponadczasowy ponadczasowy adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Uwielbiam uwielbiać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 wprost wprost prep prep gen 0 comp _ _ _
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 pred _ _ A
+
+1 naprawdę naprawdę qub qub _ 0 conjunct _ _ _
+
+1 jak jak conj conj _ 0 adjunct _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 okropny okropny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Te ten adj adj pl|acc|n|pos 0 adjunct _ _ _
+
+1 perfumy perfumy subst subst pl|nom|n 0 subj _ _ _
+
+1 zakupię zakupić fin fin sg|pri|perf 0 pred _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 pewno pewno adv adv pos 0 mwe _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 najbliższym bliski adj adj sg|loc|m3|sup 0 adjunct _ _ S
+
+1 czasie czas subst subst sg|loc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 osobiście osobiście adv adv pos 0 adjunct _ _ _
+
+1 kojarzą kojarzyć fin fin pl|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 z z prep prep inst|nwok 0 comp _ _ _
+
+1 takim taki adj adj sg|inst|m3|pos 0 adjunct _ _ _
+
+1 wiosennym wiosenny adj adj sg|inst|m3|pos 0 adjunct _ _ S
+
+1 porankiem poranek subst subst sg|inst|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 pred _ _ _
+
+1 wytrawnych wytrawny adj adj pl|gen|f|pos 0 adjunct _ _ S
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ A
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 pewni pewny adj adj pl|nom|m1|pos 0 comp _ _ _
+
+1 NIE nie qub qub _ 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 seksowny seksowny adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 pobudzający pobudzać pact pact sg|acc|m3|imperf|aff 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Znam znać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 wiele wiele num num pl|acc|f|rec 0 obj _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 które który adj adj pl|nom|f|pos 0 subj _ _ _
+
+1 używają używać fin fin pl|ter|imperf 0 adjunct _ _ _
+
+1 właśnie właśnie qub qub _ 0 adjunct _ _ _
+
+1 tej ten adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 wody woda subst subst sg|gen|f 0 obj _ _ _
+
+1 toaletowej toaletowy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Muszę musieć fin fin sg|pri|imperf 0 pred _ _ _
+
+1 przyznać przyznać inf inf perf 0 comp_inf _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 complm _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 fajny fajny adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|acc|m3 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 który który adj adj sg|nom|m3|pos 0 subj _ _ _
+
+1 długo długo adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 utrzymuje utrzymywać fin fin sg|ter|imperf 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Minimalistyczne minimalistyczny adj adj sg|nom|n|pos 0 adjunct _ _ _
+
+1 opakowanie opakować ger ger sg|acc|n|perf|aff 0 conjunct _ _ _
+
+1 lecz lecz conj conj _ 0 coord _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 warty wart subst subst pl|nom|m3 0 app _ _ S
+
+1 polecenia polecić ger ger sg|gen|n|perf|aff 0 adjunct _ _ _
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Kompletnie kompletnie adv adv pos 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 przypadły przypaść praet praet pl|f|perf 0 conjunct _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 gustu gust subst subst sg|gen|m3 0 comp _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 mają mieć fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ostry ostry adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 nieciekawy nieciekawy adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Matowe matowy adj adj sg|nom|n|pos 0 adjunct _ _ S
+
+1 szkło szkło subst subst sg|nom|n 0 subj _ _ _
+
+1 flakonu flakon subst subst sg|gen|m3 0 adjunct _ _ A
+
+1 chłodzi chłodzić fin fin sg|ter|imperf 0 pred _ _ _
+
+1 nasze nasz adj adj pl|acc|f|pos 0 adjunct _ _ _
+
+1 emocje emocja subst subst pl|acc|f 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 specyficzny specyficzny adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 odświeżający odświeżać pact pact sg|nom|m3|imperf|aff 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 rewelacyjny rewelacyjny adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 lato lato subst subst sg|acc|n 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 pred _ _ _
+
+1 romantyczki romantyczka subst subst sg|gen|f 0 comp _ _ _
+
+1 jak jak conj conj _ 0 conjunct _ _ _
+
+1 i i conj conj _ 0 obj _ _ _
+
+1 energicznej energiczny adj adj sg|gen|f|pos 0 adjunct _ _ S
+
+1 dziewczyny dziewczyna subst subst sg|gen|f 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Orzeźwiający orzeźwiać pact pact sg|nom|m1|imperf|aff 0 subj _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 super super xxx xxx _ 0 adjunct _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 lato lato subst subst sg|acc|n 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 długo długo adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 utrzymuje utrzymywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 skórze skóra subst subst sg|loc|f 0 comp _ _ _
+
+1 ( ( interp interp _ 0 punct _ _ _
+
+1 choć choć conj conj _ 0 conjunct _ _ _
+
+1 to to subst subst sg|nom|n 0 subj _ _ _
+
+1 zależy zależeć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 też też qub qub _ 0 adjunct _ _ _
+
+1 od od prep prep gen|nwok 0 comp _ _ _
+
+1 typu typ subst subst sg|gen|m3 0 comp _ _ _
+
+1 skóry skóra subst subst sg|gen|f 0 adjunct _ _ _
+
+1 ) ) interp interp _ 0 coord_punct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jednak jednak conj conj _ 0 adjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 moim mój adj adj sg|loc|m3|pos 0 adjunct _ _ _
+
+1 mrocznym mroczny adj adj sg|loc|m3|pos 0 adjunct _ _ S
+
+1 świecie świat subst subst sg|loc|m3 0 comp _ _ A
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 niego on ppron3 ppron3 sg|gen|m1|ter|akc|praep 0 comp _ _ _
+
+1 miejsca miejsce subst subst sg|gen|n 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealny idealny adj adj sg|nom|m1|pos 0 pred _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 dzień dzień subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|n 0 pred _ _ _
+
+1 wprost wprost prep prep gen 0 adjunct _ _ _
+
+1 idealne idealny adj adj sg|nom|n|pos 0 comp _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ A
+
+1 zmysłowej zmysłowy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Długo długo adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 utrzymują utrzymywać fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 tego to subst subst sg|gen|n 0 comp _ _ _
+
+1 mają mieć fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 pomysłowy pomysłowy adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 flakonik flakonik subst subst sg|acc|m3 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nie nie qub qub _ 0 neg _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 każdej każdy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 osoby osoba subst subst sg|gen|f 0 comp _ _ A
+
+1 pasuje pasować fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 perfumy perfumy subst subst pl|nom|n 0 subj _ _ _
+
+1 trzeba trzeba pred pred _ 0 conjunct _ _ _
+
+1 dobierać dobierać inf inf imperf 0 pred _ _ _
+
+1 według według prep prep gen 0 adjunct _ _ _
+
+1 osobowości osobowość subst subst sg|gen|f 0 comp _ _ _
+
+1 Idealnie idealnie adv adv pos 0 adjunct _ _ _
+
+1 nadają nadawać fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 prezent prezent subst subst sg|acc|m3 0 comp _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 każdej każdy adj adj sg|gen|f|pos 0 comp _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 nawet nawet qub qub _ 0 adjunct _ _ _
+
+1 najbardziej bardzo adv adv sup 0 adjunct _ _ _
+
+1 wymagającej wymagający adj adj sg|gen|f|pos 0 adjunct _ _ S
+
+1 kobiety kobieta subst subst sg|gen|f 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 ojjjjjj ojjjjjj ign ign _ 0 pred _ _ _
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 to ten adj adj sg|nom|n|pos 0 adjunct _ _ _
+
+1 cudo cudo subst subst sg|nom|n 0 app _ _ S
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 tej ten adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 wody woda subst subst sg|gen|f 0 adjunct _ _ _
+
+1 jednak jednak conj conj _ 0 coord _ _ _
+
+1 od od prep prep gen|nwok 0 adjunct _ _ _
+
+1 razu raz subst subst sg|gen|m3 0 comp _ _ _
+
+1 mnie ja ppron12 ppron12 sg|acc|m1|pri|akc 0 obj _ _ _
+
+1 urzekł urzec praet praet sg|m1|perf 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 niezwykle niezwykle adv adv pos 0 adjunct _ _ _
+
+1 trwały trwały adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 intrygujący intrygować pact pact sg|nom|m3|imperf|aff 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 oryginalny oryginalny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 flakonik flakonik subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mają mieć fin fin pl|ter|imperf 0 pred _ _ _
+
+1 silny silny adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|acc|m3 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 pred _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ A
+
+1 cieszących cieszyć pact pact pl|gen|f|imperf|aff 0 adjunct _ _ S
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 życiem żyć ger ger sg|inst|n|imperf|aff 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nadają nadawać fin fin pl|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 zarówno zarówno conj conj _ 0 pre_coord _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 romantyczny romantyczny adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 wieczór wieczór subst subst sg|acc|m3 0 comp _ _ A
+
+1 jak jak conj conj _ 0 subj _ _ _
+
+1 i i conj conj _ 0 mwe _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 dyskotekę dyskoteka subst subst sg|acc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Długo długo adv adv pos 0 adjunct _ _ _
+
+1 utrzymuje utrzymywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 skórze skóra subst subst sg|loc|f 0 comp _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 wygodny wygodny adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 flakonik flakonik subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|n 0 subj _ _ _
+
+1 leżą leżeć fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 sobie się siebie siebie dat 0 obj_th _ _ _
+
+1 spokojnie spokojnie adv adv pos 0 adjunct _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 półeczce półeczka subst subst sg|loc|f 0 comp _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 czekają czekać fin fin pl|ter|imperf 0 conjunct _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 kogoś ktoś subst subst sg|acc|m1 0 comp _ _ A
+
+1 kto kto subst subst sg|nom|m1 0 subj _ _ _
+
+1 je on ppron3 ppron3 pl|acc|f|ter|akc|npraep 0 obj _ _ _
+
+1 przygarnie przygarnąć fin fin sg|ter|perf 0 subj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 dość dość qub qub _ 0 adjunct _ _ _
+
+1 intensywny intensywny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zdecydowanie zdecydowanie adv adv pos 0 adjunct _ _ _
+
+1 polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 wieczór wieczór subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 z z prep prep inst|nwok 0 pred _ _ _
+
+1 pewnością pewność subst subst sg|inst|f 0 comp _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 wyróżniający wyróżniać pact pact sg|nom|m3|imperf|aff 0 adjunct _ _ S
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 w w prep prep loc|nwok 0 comp _ _ _
+
+1 tłumie tłum subst subst sg|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 randki randka subst subst pl|acc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jedynie jedynie adv adv pos 0 pred _ _ _
+
+1 flakonik flakonik subst subst sg|nom|m3 0 subj _ _ A
+
+1 niezbyt niezbyt qub qub _ 0 adjunct _ _ _
+
+1 ładny ładny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Kilka kilka num num pl|acc|f|rec 0 obj _ _ _
+
+1 kropli kropla subst subst pl|gen|f 0 comp _ _ _
+
+1 wystarcza wystarczać fin fin sg|ter|imperf 0 pred _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 cały cały adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 dzień dzień subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ładną ładny adj adj sg|acc|f|pos 0 adjunct _ _ S
+
+1 buteleczkę buteleczka subst subst sg|acc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 PODNIECA podniecać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 REWELACYJNIE rewelacyjnie adv adv pos 0 comp _ _ _
+
+1 I i conj conj _ 0 conjunct _ _ _
+
+1 DZIAŁA działać fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 NA na prep prep acc 0 comp _ _ _
+
+1 KARZEDEGO karzedy adj adj sg|acc|m1|pos 0 adjunct _ _ _
+
+1 FACETA facet subst subst sg|acc|m1 0 comp _ _ A
+
+1 ; ; interp interp _ 0 coord_punct _ _ _
+
+1 - - interp interp _ 0 punct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Firma firma subst subst sg|nom|f 0 subj _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 tradycjami tradycja subst subst pl|inst|f 0 comp _ _ _
+
+1 postanowiła postanowić praet praet sg|f|perf 0 pred _ _ _
+
+1 wyjść wyjść inf inf perf 0 comp_inf _ _ _
+
+1 naprzeciw naprzeciw prep prep gen 0 comp _ _ _
+
+1 oczekiwaniom oczekiwanie subst subst pl|dat|n 0 comp _ _ _
+
+1 tych ten adj adj pl|gen|m1|pos 0 adjunct _ _ _
+
+1 najmłodszych młody adj adj pl|gen|m1|sup 0 adjunct _ _ S
+
+1 klientów klient subst subst pl|gen|m1 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Flakonik flakonik subst subst sg|nom|m3 0 pred _ _ A
+
+1 bez bez prep prep gen|nwok 0 adjunct _ _ _
+
+1 rewelacji rewelacja subst subst sg|gen|f 0 comp _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 długo długo adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 utrzymuje utrzymywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 przenosi przenosić fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|acc|f|pri|akc 0 obj _ _ _
+
+1 w w prep prep acc|nwok 0 comp _ _ _
+
+1 świat świat subst subst sg|acc|m3 0 comp _ _ A
+
+1 luksusu luksus subst subst sg|gen|m3 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Butelka butelka subst subst sg|nom|f 0 conjunct _ _ A
+
+1 prosta prosty adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 coord _ _ _
+
+1 ładna ładny adj adj sg|nom|f|pos 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 W w prep prep acc|nwok 0 pred _ _ _
+
+1 sam sam adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 raz raz subst subst sg|acc|m3 0 comp _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 młodych młody adj adj pl|gen|f|pos 0 adjunct _ _ S
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 oryginalny oryginalny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 kwiatowy kwiatowy adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cytuję cytować fin fin sg|pri|imperf 0 pred _ _ _
+
+1 : : interp interp _ 0 comp _ _ _
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 Przecież przecież qub qub _ 0 adjunct _ _ _
+
+1 to to pred pred _ 0 comp_fin _ _ _
+
+1 taki taki adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 znany znany adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 pred _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 chociażby chociażby conj conj _ 0 adjunct _ _ _
+
+1 ze z prep prep gen|wok 0 comp _ _ _
+
+1 słyszenia słyszeć ger ger sg|gen|n|imperf|aff 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 zna znać fin fin sg|ter|imperf 0 adjunct _ _ S
+
+1 każdy każdy adj adj sg|nom|m3|pos 0 pd _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Doskonale doskonale adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 sprawdzi sprawdzić fin fin sg|ter|perf 0 pred _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 wieczorne wieczorny adj adj pl|acc|n|pos 0 adjunct _ _ _
+
+1 wyjścia wyjście subst subst pl|acc|n 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 5 5 tnum tnum integer 0 adjunct _ _ _
+
+1 zdecydowanie zdecydowanie adv adv pos 0 adjunct _ _ _
+
+1 kojarzy kojarzyć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 z z prep prep inst|nwok 0 comp _ _ _
+
+1 dojrzałą dojrzały adj adj sg|inst|f|pos 0 adjunct _ _ S
+
+1 kobietą kobieta subst subst sg|inst|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Według według prep prep gen 0 pred _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 - - interp interp _ 0 punct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 comp _ _ A
+
+1 idealny idealny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 efektywną efektywny adj adj sg|acc|f|pos 0 adjunct _ _ S
+
+1 buteleczkę buteleczka subst subst sg|acc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Pasuje pasować fin fin sg|ter|imperf 0 subj _ _ S
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 jakiejś jakiś adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 babci babcia subst subst sg|gen|f 0 comp _ _ A
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 berecie beret subst subst sg|loc|m3 0 comp _ _ _
+
+1 która który adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 właśnie właśnie qub qub _ 0 adjunct _ _ _
+
+1 idzie iść fin fin sg|ter|imperf 0 pred _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 kościoła kościół subst subst sg|gen|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Poza poza prep prep inst 0 pred _ _ _
+
+1 tym to subst subst sg|inst|n 0 comp _ _ _
+
+1 okropny okropny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 design design subst subst sg|acc|m3 0 obj _ _ _
+
+1 flakonu flakon subst subst sg|gen|m3 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 ona ony adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 przyjemny przyjemny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 lekki lekki adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 kobiecy kobiecy adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jak jak conj conj _ 0 pre_coord _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 Chanel chanela subst subst pl|gen|f 0 pd _ _ _
+
+1 No no qub qub _ 0 adjunct _ _ _
+
+1 5 5 tnum tnum integer 0 adjunct _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 przereklamowany przereklamować ppas ppas sg|nom|m3|perf|aff 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Odpowiednie odpowiedni adj adj pl|nom|m3|pos 0 pred _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 starszych stary adj adj pl|gen|f|comp 0 adjunct _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ A
+
+1 Polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ A
+
+1 chcących chcący adj adj pl|gen|f|pos 0 adjunct _ _ _
+
+1 poczuć poczuć inf inf perf 0 comp_inf _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 wyjątkowo wyjątkowo adv adv pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 klasyczny klasyczny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 stary stary adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 jak jak conj conj _ 0 coord _ _ _
+
+1 wszystko wszystko subst subst sg|acc|n 0 conjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 stylu styl subst subst sg|loc|m3 0 comp _ _ _
+
+1 Chanel chanela subst subst pl|gen|f 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 jak jak conj conj _ 0 coord _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 odrzucający odrzucać pact pact sg|nom|m3|imperf|aff 0 conjunct _ _ S
+
+1 zupełnie zupełnie adv adv pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 Piątka piątka subst subst sg|nom|f 0 subj _ _ _
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 to to pred pred _ 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 mocny mocny adj adj sg|nom|m1|pos 0 adjunct _ _ S
+
+1 kwiatowo kwiatowy adja adja _ 0 adjunct _ _ _
+
+1 - - interp interp _ 0 mwe _ _ _
+
+1 aldehydowy aldehydowy adj adj sg|acc|m3|pos 0 mwe _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealny idealny adj adj sg|nom|m1|pos 0 pred _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 lato lato subst subst sg|acc|n 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Miss miss subst subst sg|nom|f 0 conjunct _ _ _
+
+1 Dior dior subst subst sg|nom|m3 0 app _ _ _
+
+1 Cherie cheria subst subst pl|nom|f 0 app _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 to to conj conj _ 0 coord _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 app _ _ A
+
+1 świeży świeży adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 owocowy owocowy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 przypominający przypominać pact pact sg|nom|m3|imperf|aff 0 adjunct _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 grejpfruta grejpfrut subst subst sg|gen|m3 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 pred _ _ _
+
+1 każdej każdy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 wyjątkowej wyjątkowy adj adj sg|gen|f|pos 0 adjunct _ _ S
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 pred _ _ _
+
+1 zdecydowanych zdecydowany adj adj pl|gen|f|pos 0 adjunct _ _ S
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Orzeźwiający orzeźwiać pact pact sg|nom|m3|imperf|aff 0 conjunct _ _ _
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 kwiatowy kwiatowy adj adj sg|nom|m1|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 raczej raczej qub qub _ 0 adjunct _ _ _
+
+1 dla dla prep prep gen 0 conjunct _ _ _
+
+1 młodych młody adj adj pl|gen|f|pos 0 adjunct _ _ S
+
+1 dziewczyn dziewczyna subst subst pl|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 je on ppron3 ppron3 sg|acc|n|ter|akc|npraep 0 obj _ _ _
+
+1 wszystkim wszystko subst subst sg|inst|n 0 comp _ _ _
+
+1 panią pani subst subst sg|acc|f 0 app _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Duża duży adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 gama gama subst subst sg|nom|f 0 pred _ _ _
+
+1 świetnych świetny adj adj pl|gen|m3|pos 0 adjunct _ _ S
+
+1 zapachów zapach subst subst pl|gen|m3 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 flakonik flakonik subst subst sg|acc|m3 0 obj _ _ A
+
+1 też też qub qub _ 0 adjunct _ _ _
+
+1 niepowtarzalny niepowtarzalny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 kokardką kokardka subst subst sg|inst|f 0 comp _ _ _
+
+1 kojarzy kojarzyć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 dziwczęco dziwczęco adv adv pos 0 punct _ _ _
+
+1 Może może qub qub _ 0 pred _ _ _
+
+1 fajne fajny adj adj sg|nom|n|pos 0 pd _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 starszej stary adj adj sg|gen|f|comp 0 adjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ A
+
+1 takiej taki adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 czerwoną czerwony adj adj sg|inst|f|pos 0 adjunct _ _ _
+
+1 pomadką pomadka subst subst sg|inst|f 0 comp _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 ustach usta subst subst pl|loc|n 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Kojarzy kojarzyć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 raczej raczej qub qub _ 0 adjunct _ _ _
+
+1 z z prep prep inst|nwok 0 comp _ _ _
+
+1 osobami osoba subst subst pl|inst|f 0 comp _ _ A
+
+1 aktywnymi aktywny adj adj pl|inst|f|pos 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ładny ładny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 flakon flakon subst subst sg|acc|m3 0 adjunct _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 co co subst subst sg|nom|n 0 subj _ _ _
+
+1 przyciąga przyciągać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 wzrok wzrok subst subst sg|nom|m3 0 subj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Przepiękny przepiękny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 prosty prosty adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 flakon flakon subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ciekawa ciekawy adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 buteleczka buteleczka subst subst sg|nom|f 0 subj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 zakrętka zakrętka subst subst sg|nom|f 0 app _ _ _
+
+1 trochę trochę subst subst sg|acc|n 0 app _ _ _
+
+1 za za prep prep inst 0 adjunct _ _ _
+
+1 duża duży adj adj sg|nom|f|pos 0 comp _ _ _
+
+1 przez przez prep prep acc|nwok 0 adjunct _ _ _
+
+1 co co subst subst sg|acc|n 0 comp _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 mieści mieścić fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 torebki torebka subst subst sg|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Na na prep prep acc 0 adjunct _ _ _
+
+1 dzień dzień subst subst sg|acc|m3 0 comp _ _ A
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Najlepszy dobry adj adj sg|nom|m3|sup 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 Versace versaka subst subst sg|dat|f 0 app _ _ _
+
+1 jak jak conj conj _ 0 coord _ _ _
+
+1 dotąd dotąd qub qub _ 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 najlepsze dobry adj adj pl|nom|n|sup 0 adjunct _ _ S
+
+1 perfumy perfumy subst subst pl|acc|n 0 pred _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 świecie świat subst subst sg|loc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Takie taki adj adj pl|nom|m3|pos 0 adjunct _ _ _
+
+1 zapachy zapach subst subst pl|nom|m3 0 pred _ _ A
+
+1 trzeba trzeba pred pred _ 0 adjunct _ _ _
+
+1 lubić lubić inf inf imperf 0 conjunct _ _ S
+
+1 a a conj conj _ 0 subj _ _ _
+
+1 więc więc conj conj _ 0 mwe _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 każdej każdy adj adj sg|gen|f|pos 0 comp _ _ _
+
+1 spasuje spasować fin fin sg|ter|perf 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 długo długo adv adv pos 0 comp _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 utrzymują utrzymywać fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 juz juz subst subst sg|acc|m3 0 conjunct _ _ _
+
+1 kilka kilka num num pl|acc|f|rec 0 adjunct _ _ _
+
+1 osób osoba subst subst pl|gen|f 0 comp _ _ A
+
+1 pochwaliło pochwalić praet praet sg|n|perf 0 conjunct _ _ S
+
+1 mnie ja ppron12 ppron12 sg|acc|m1|pri|akc 0 obj _ _ _
+
+1 ze z prep prep gen|wok 0 comp _ _ _
+
+1 ładnie ładnie adv adv pos 0 adjunct _ _ _
+
+1 pachnę pachnąć fin fin sg|pri|imperf 0 comp _ _ _
+
+1 : : interp interp _ 0 punct _ _ _
+
+1 - - interp interp _ 0 punct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 Boski boski adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 dla dla prep prep gen 0 conjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ A
+
+1 pewnej pewny adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 siebie się siebie siebie gen 0 adjunct _ _ _
+
+1 drapieżnej drapieżny adj adj sg|gen|f|pos 0 conjunct _ _ _
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 zmysłowej zmysłowy adj adj sg|gen|f|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 uwiódł uwieść praet praet sg|m3|perf|nagl 0 conjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|acc|f|pri|akc 0 obj _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 uzależnił uzależnić praet praet sg|m1|perf 0 conjunct _ _ S
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Nadaje nadawać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 codziennego codzienny adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 użytku użytek subst subst sg|gen|m3 0 comp _ _ _
+
+1 jak jak conj conj _ 0 coord _ _ _
+
+1 również również qub qub _ 0 adjunct _ _ _
+
+1 na na prep prep acc 0 conjunct _ _ _
+
+1 wieczorne wieczorny adj adj pl|acc|n|pos 0 adjunct _ _ _
+
+1 wyjścia wyjście subst subst pl|acc|n 0 comp _ _ A
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 ukochanym ukochany adj adj sg|inst|m3|pos 0 comp _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 W w prep prep acc|nwok 0 pred _ _ _
+
+1 sam sam adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 raz raz subst subst sg|acc|m3 0 comp _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 przebojowych przebojowy adj adj pl|gen|m3|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 pewnych pewny adj adj pl|gen|f|pos 0 adjunct _ _ _
+
+1 siebie się siebie siebie gen 0 conjunct _ _ _
+
+1 pań pani subst subst pl|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 dobry dobry adj adj sg|nom|m3|pos 0 pred _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 codzien codny adj adj sg|acc|m3|pos 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 szkoły szkoła subst subst sg|gen|f 0 conjunct _ _ A
+
+1 czy czy conj conj _ 0 comp _ _ _
+
+1 pracy praca subst subst sg|gen|f 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 godny godny adj adj sg|nom|m1|pos 0 adjunct _ _ S
+
+1 polecenia polecić ger ger sg|gen|n|perf|aff 0 pred _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 każdego każdy adj adj sg|gen|m1|pos 0 adjunct _ _ _
+
+1 faceta facet subst subst sg|gen|m1 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealny idealny adj adj sg|nom|m1|pos 0 pred _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 prezent prezent subst subst sg|acc|m3 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 randki randka subst subst pl|acc|f 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Przyda przydać fin fin sg|ter|perf 0 pred _ _ S
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 oko oko subst subst sg|nom|n 0 subj _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 conjunct _ _ A
+
+1 jako jako conj conj _ 0 adjunct _ _ _
+
+1 opinia opinia subst subst sg|nom|f 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Charakteryzuje charakteryzować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 elektryzującym elektryzować pact pact sg|inst|m3|imperf|aff 0 adjunct _ _ _
+
+1 zapachem zapach subst subst sg|inst|m3 0 comp _ _ A
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 doskonale doskonale adv adv pos 0 adjunct _ _ _
+
+1 zharmonizowanym zharmonizować ppas ppas sg|inst|m3|perf|aff 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Uważam uważać fin fin sg|pri|imperf 0 pred _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 complm _ _ _
+
+1 stosowny stosowny adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 tylko tylko conj conj _ 0 comp_fin _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ A
+
+1 o o prep prep loc 0 adjunct _ _ _
+
+1 wyrafinowanych wyrafinowany adj adj pl|loc|m3|pos 0 adjunct _ _ _
+
+1 gustach gust subst subst pl|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mój mój adj adj sg|nom|m1|pos 0 adjunct _ _ _
+
+1 chłopak chłopak subst subst sg|nom|m1 0 subj _ _ A
+
+1 teraz teraz qub qub _ 0 adjunct _ _ _
+
+1 używa używać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 tej ten adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 wody woda subst subst sg|gen|f 0 obj _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ja ja ppron12 ppron12 sg|nom|f|pri 0 subj _ _ _
+
+1 sobie się siebie siebie dat 0 obj_th _ _ _
+
+1 chwali chwalić fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 długo długo adv adv pos 0 adjunct _ _ _
+
+1 utrzymuje utrzymywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 skórze skóra subst subst sg|loc|f 0 comp _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 ściera ścierać fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Flakonik flakonik subst subst sg|nom|m3 0 subj _ _ A
+
+1 całkiem całkiem qub qub _ 0 adjunct _ _ _
+
+1 fajnie fajnie adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 prezentuje prezentować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 wystarcza wystarczać fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 wiele wiele num num pl|acc|f|rec 0 obj _ _ _
+
+1 użyć użyć inf inf perf 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 I i conj conj _ 0 adjunct _ _ _
+
+1 przede przed prep prep inst|wok 0 adjunct _ _ _
+
+1 wszystkim wszystko subst subst sg|inst|n 0 comp _ _ _
+
+1 kojaży kojaż subst subst pl|gen|m3 0 obj _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|m3|pri|nakc 0 obj_th _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 tymi ten adj adj pl|inst|m1|pos 0 adjunct _ _ _
+
+1 osiłkami osiłek subst subst pl|inst|m1 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 co co subst subst sg|acc|n 0 obj _ _ _
+
+1 to to pred pred _ 0 adjunct _ _ _
+
+1 po po prep prep loc 0 adjunct _ _ _
+
+1 ćwiczeniach ćwiczenie subst subst pl|loc|n 0 comp _ _ _
+
+1 zamiast zamiast conj conj _ 0 adjunct _ _ _
+
+1 wziąć wziąć inf inf perf 0 comp_inf _ _ _
+
+1 prysznic prysznic subst subst sg|acc|m3 0 obj _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 to to subst subst sg|acc|n 0 obj _ _ _
+
+1 wylewają wylewać fin fin pl|ter|imperf 0 pred _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 siebie się siebie siebie acc 0 comp _ _ _
+
+1 pół pół num num pl|loc|f|rec 0 subj _ _ _
+
+1 butelki butelka subst subst sg|gen|f 0 comp _ _ A
+
+1 taniej tanio adv adv comp 0 adjunct _ _ _
+
+1 podróbki podróbka subst subst sg|gen|f 0 comp _ _ S
+
+1 Fahrenhaita fahrenhaita subst subst sg|nom|m1 0 app _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 pred _ _ _
+
+1 toaletowa toaletowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 raczej raczej qub qub _ 0 adjunct _ _ _
+
+1 dla dla prep prep gen 0 conjunct _ _ _
+
+1 starszych stary adj adj pl|gen|m1|comp 0 adjunct _ _ _
+
+1 panów pan subst subst pl|gen|m1 0 comp _ _ A
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 bardziej bardzo adv adv comp 0 adjunct _ _ _
+
+1 statecznych stateczny adj adj pl|gen|m1|pos 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Buteleczka buteleczka subst subst sg|nom|f 0 pred _ _ A
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 ognistym ognisty adj adj sg|loc|m3|pos 0 adjunct _ _ S
+
+1 kolorze kolor subst subst sg|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Szczególnie szczególnie adv adv pos 0 adjunct _ _ _
+
+1 przyda przydać fin fin sg|ter|perf 0 conjunct _ _ S
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 np npa subst subst pl|gen|f 0 comp _ _ _
+
+1 rozmowach rozmowa subst subst pl|loc|f 0 adjunct _ _ A
+
+1 o o prep prep acc 0 adjunct _ _ _
+
+1 prace praca subst subst pl|acc|f 0 comp _ _ _
+
+1 czy czy conj conj _ 0 coord _ _ _
+
+1 dla dla prep prep gen 0 conjunct _ _ _
+
+1 szefa szef subst subst sg|gen|m1 0 comp _ _ _
+
+1 jakiejś jakiś adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 firmy firma subst subst sg|gen|f 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealne idealny adj adj sg|nom|n|pos 0 adjunct _ _ S
+
+1 uzupełnienie uzupełnić ger ger sg|nom|n|perf|aff 0 pred _ _ _
+
+1 koszuli koszula subst subst sg|gen|f 0 conjunct _ _ A
+
+1 i i conj conj _ 0 obj _ _ _
+
+1 pantofli pantofel subst subst pl|gen|m3 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Wytrzymałe wytrzymały adj adj sg|nom|n|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 uczulają uczulać fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 prosta prosty adj adj sg|nom|f|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 klasyczna klasyczny adj adj sg|nom|f|pos 0 conjunct _ _ S
+
+1 butelka butelka subst subst sg|nom|f 0 subj _ _ A
+
+1 dodaje dodawać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 im on ppron3 ppron3 pl|dat|f|ter|akc|npraep 0 adjunct _ _ _
+
+1 oryginalności oryginalność subst subst sg|gen|f 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zaden zaden subst subst sg|nom|m3 0 subj _ _ _
+
+1 mężczyzna mężczyzna subst subst sg|nom|m1 0 app _ _ A
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 pozostanie pozostać fin fin sg|ter|perf 0 pred _ _ _
+
+1 mu on ppron3 ppron3 sg|dat|m1|ter|nakc|npraep 0 obj_th _ _ _
+
+1 obojętny obojętny adj adj sg|nom|m1|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 pred _ _ _
+
+1 toaletowa toaletowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 o o prep prep loc 0 adjunct _ _ _
+
+1 rześkim rześki adj adj sg|loc|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 ożywczym ożywczy adj adj sg|loc|m3|pos 0 conjunct _ _ _
+
+1 zapachu zapach subst subst sg|loc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Może móc fin fin sg|ter|imperf 0 pred _ _ _
+
+1 służyć służyć inf inf imperf 0 conjunct _ _ S
+
+1 w w prep prep loc|nwok 0 comp _ _ _
+
+1 ciągu ciąg subst subst sg|loc|m3 0 comp _ _ _
+
+1 całego cały adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 dnia dzień subst subst sg|gen|m3 0 adjunct _ _ A
+
+1 jak jak conj conj _ 0 subj _ _ _
+
+1 również również qub qub _ 0 adjunct _ _ _
+
+1 po po prep prep loc 0 conjunct _ _ _
+
+1 goleniu golić ger ger sg|loc|n|imperf|aff 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Brak brak subst subst sg|nom|m3 0 pred _ _ S
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 nim on ppron3 ppron3 sg|loc|n|ter|akc|praep 0 comp _ _ _
+
+1 swoistej swoisty adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 klasy klasa subst subst sg|gen|f 0 conjunct _ _ A
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 charakteru charakter subst subst sg|gen|m3 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 zdecydowanej zdecydować ppas ppas sg|gen|f|perf|aff 0 adjunct _ _ _
+
+1 męskiej męski adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 nuty nuta subst subst sg|gen|f 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 wyrazisty wyrazisty adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 urokliwy urokliwy adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 który który adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 po po prep prep loc 0 adjunct _ _ _
+
+1 naniesieniu nanieść ger ger sg|loc|n|perf|aff 0 comp _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 skórę skóra subst subst sg|acc|f 0 comp _ _ _
+
+1 szyi szyja subst subst sg|gen|f 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 czy czy conj conj _ 0 adjunct _ _ _
+
+1 nadgarstków nadgarstek subst subst pl|gen|m3 0 adjunct _ _ _
+
+1 długo długo adv adv pos 0 adjunct _ _ _
+
+1 utrzymuje utrzymywać fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 ciele ciało subst subst sg|loc|n 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 wystarcza wystarczać fin fin sg|ter|imperf 0 pred _ _ S
+
+1 spokojnie spokojnie adv adv pos 0 adjunct _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 około około qub qub _ 0 adjunct _ _ _
+
+1 10 10 tnum tnum integer 0 comp _ _ _
+
+1 miesięcy miesiąc subst subst pl|gen|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 pred _ _ _
+
+1 aktywnych aktywny adj adj pl|gen|f|pos 0 adjunct _ _ S
+
+1 , , interp interp _ 0 mwe _ _ _
+
+1 dzikiech dzosa subst subst pl|loc|m1 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 nieujarzmionych nieujarzmiony adj adj pl|gen|m1|pos 0 adjunct _ _ _
+
+1 panów pan subst subst pl|gen|m1 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 śliczne śliczny adj adj sg|nom|n|pos 0 adjunct _ _ S
+
+1 opakowanie opakować ger ger sg|nom|n|perf|aff 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 flakon flakon subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 męski męski adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 100 100 tnum tnum integer 0 adjunct _ _ _
+
+1 ml ml subst subst sg|nom|m3 0 subj _ _ _
+
+1 wystarczyło wystarczyć praet praet sg|n|perf 0 pred _ _ S
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 pół pół num num pl|loc|m3|rec 0 comp _ _ _
+
+1 roku rok subst subst sg|gen|m3 0 comp _ _ A
+
+1 codziennego codzienny adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 użytkowania użytkować ger ger sg|gen|n|imperf|aff 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mój mój adj adj sg|nom|m1|pos 0 adjunct _ _ _
+
+1 tata tata subst subst sg|nom|m1 0 subj _ _ A
+
+1 posiada posiadać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 tę ten adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 wodę woda subst subst sg|acc|f 0 comp _ _ _
+
+1 toaletowa toaletowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 nigdy nigdy qub qub _ 0 adjunct _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 nią on ppron3 ppron3 sg|acc|f|ter|akc|praep 0 comp _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 narzekał narzekać praet praet sg|m1|imperf 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 od od prep prep gen|nwok 0 adjunct _ _ _
+
+1 Armaniego armani adj adj sg|gen|n|pos 0 comp _ _ _
+
+1 zawsze zawsze qub qub _ 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|acc|m1|pri|akc 0 obj _ _ _
+
+1 intrygował intrygować praet praet sg|m1|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 zachęcał zachęcać praet praet sg|m1|imperf 0 conjunct _ _ S
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 zakupu zakup subst subst sg|gen|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Długotrwały długotrwały adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 efekt efekt subst subst sg|nom|m3 0 subj _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 zapewnia zapewniać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 iż iż conj conj _ 0 coord _ _ _
+
+1 człowiek człowiek subst subst sg|nom|m1 0 subj _ _ A
+
+1 staje stawać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 bardziej bardzo adv adv comp 0 adjunct _ _ _
+
+1 pewny pewny adj adj sg|nom|m1|pos 0 adjunct _ _ _
+
+1 siebie się siebie siebie acc 0 obj _ _ _
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 bardziej bardzo adv adv comp 0 adjunct _ _ _
+
+1 atrakcyjny atrakcyjny adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dobry dobry adj adj sg|nom|m3|pos 0 subj _ _ S
+
+1 zarówno zarówno conj conj _ 0 adjunct _ _ _
+
+1 na na prep prep acc 0 conjunct _ _ _
+
+1 dzień dzień subst subst sg|acc|m3 0 comp _ _ A
+
+1 jak jak conj conj _ 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 na na prep prep acc 0 conjunct _ _ _
+
+1 wieczorne wieczorny adj adj sg|acc|n|pos 0 adjunct _ _ _
+
+1 wyjście wyjść ger ger sg|acc|n|perf|aff 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 I i conj conj _ 0 adjunct _ _ _
+
+1 czuję czuć fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 , , interp interp _ 0 comp _ _ _
+
+1 że że conj conj _ 0 coord _ _ _
+
+1 towarzyszy towarzysz subst subst pl|gen|m1 0 obj _ _ S
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 adjunct _ _ _
+
+1 przez przez prep prep acc|nwok 0 comp _ _ _
+
+1 cały cały adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 dzień dzień subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 flakonik flakonik subst subst sg|nom|m3 0 subj _ _ A
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 zachwyca zachwycać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 cena cena subst subst sg|nom|f 0 subj _ _ _
+
+1 odstrasza odstraszać fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 5 5 tnum tnum integer 0 pred _ _ _
+
+1 to to subst subst sg|nom|n 0 subj _ _ _
+
+1 chyba chyba qub qub _ 0 adjunct _ _ _
+
+1 najbardziej bardzo adv adv sup 0 adjunct _ _ _
+
+1 znany znany adj adj sg|nom|m1|pos 0 adjunct _ _ S
+
+1 perfum perfumy subst subst pl|gen|n 0 comp _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 świecie świat subst subst sg|loc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jedyny jedyny adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 minus minus subst subst sg|nom|m3 0 pd _ _ S
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 kształt kształt subst subst sg|nom|m3 0 subj _ _ _
+
+1 flakonika flakonik subst subst sg|gen|m3 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Fajny fajny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 prezent prezent subst subst sg|nom|m3 0 pred _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 gwiazdkę gwiazdka subst subst sg|acc|f 0 comp _ _ A
+
+1 Przepiękny przepiękny adj adj sg|nom|m1|pos 0 adjunct _ _ S
+
+1 kwiatowy kwiatowy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 aromat aromat subst subst sg|nom|m3 0 subj _ _ A
+
+1 utrzymuje utrzymywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 przez przez prep prep acc|nwok 0 comp _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 długo długo adv adv pos 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 To to pred pred _ 0 pred _ _ _
+
+1 naprawdę naprawdę qub qub _ 0 adjunct _ _ _
+
+1 świecący świecić pact pact sg|nom|m3|imperf|aff 0 adjunct _ _ S
+
+1 kryształ kryształ subst subst sg|acc|m3 0 obj _ _ _
+
+1 wśród wśród prep prep gen 0 adjunct _ _ _
+
+1 wszystkich wszystek adj adj pl|gen|m3|pos 0 adjunct _ _ _
+
+1 zapachów zapach subst subst pl|gen|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 kojarzy kojarzyć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 ze z prep prep inst|wok 0 adjunct _ _ _
+
+1 stylową stylowy adj adj sg|inst|f|pos 0 adjunct _ _ _
+
+1 zadbaną zadbać ppas ppas sg|inst|f|perf|aff 0 conjunct _ _ S
+
+1 i i conj conj _ 0 punct _ _ _
+
+1 uwodzicielską uwodzicielski adj adj sg|inst|f|pos 0 adjunct _ _ _
+
+1 kobietą kobieta subst subst sg|inst|f 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 która który adj adj sg|nom|f|pos 0 subj _ _ _
+
+1 wie wiedzieć fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 czego co subst subst sg|gen|n 0 comp _ _ _
+
+1 chce chcieć fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 od od prep prep gen|nwok 0 comp _ _ _
+
+1 życia żyć ger ger sg|gen|n|imperf|aff 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Uważam uważać fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 że że conj conj _ 0 conjunct _ _ _
+
+1 jak jak conj conj _ 0 coord _ _ _
+
+1 najbardziej bardzo adv adv sup 0 adjunct _ _ _
+
+1 nadaje nadawać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 osoby osoba subst subst sg|gen|f 0 comp _ _ A
+
+1 starszej stary adj adj sg|gen|f|comp 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 dojrzałej dojrzały adj adj sg|gen|f|pos 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Atrakcyjny atrakcyjny adj adj sg|nom|m1|pos 0 subj _ _ S
+
+1 wygląda wyglądać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 flakonika flakonik subst subst sg|gen|m3 0 adjunct _ _ A
+
+1 przyciąga przyciągać fin fin sg|ter|imperf 0 aux _ _ _
+
+1 wzrok wzrok subst subst sg|acc|m3 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 perfumowana perfumować ppas ppas sg|nom|f|imperf|aff 0 aux _ _ _
+
+1 przeznaczona przeznaczyć ppas ppas sg|nom|f|perf|aff 0 pred _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ A
+
+1 stylowych stylowy adj adj pl|gen|f|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 kochających kochać pact pact pl|gen|f|imperf|aff 0 adjunct _ _ S
+
+1 własny własny adj adj sg|acc|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 obj _ _ _
+
+1 indywidualny indywidualny adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 styl styl subst subst sg|nom|m3 0 app _ _ _
+
+1 życia żyć ger ger sg|gen|n|imperf|aff 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealny idealny adj adj sg|nom|m1|pos 0 pred _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 wieczorne wieczorny adj adj sg|acc|n|pos 0 adjunct _ _ _
+
+1 wyjście wyjść ger ger sg|acc|n|perf|aff 0 conjunct _ _ _
+
+1 lub lub conj conj _ 0 comp _ _ _
+
+1 zimową zimowy adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 aurę aura subst subst sg|acc|f 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nadaje nadawać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 on on ppron3 ppron3 sg|nom|m1|ter|akc|praep 0 subj _ _ _
+
+1 świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 wieczór wieczór subst subst sg|acc|m3 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 idealnie idealnie adv adv pos 0 adjunct _ _ _
+
+1 podkreśla podkreślać fin fin sg|ter|imperf 0 adjunct _ _ _
+
+1 zmysłowość zmysłowość subst subst sg|nom|f 0 conjunct _ _ _
+
+1 i i conj conj _ 0 obj _ _ _
+
+1 tajemniczość tajemniczość subst subst sg|nom|f 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealny idealny adj adj sg|nom|m3|pos 0 pred _ _ S
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 pracy praca subst subst sg|gen|f 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 szkoły szkoła subst subst sg|gen|f 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 zdecydowanie zdecydowanie adv adv pos 0 pred _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 prawdziwej prawdziwy adj adj sg|gen|f|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 comp _ _ _
+
+1 pewnej pewny adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 swojego swój adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 sexapilu sexapil subst subst sg|loc|m1 0 conjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 The thy adj adj pl|nom|n|pos 0 adjunct _ _ _
+
+1 One ony adj adj pl|nom|f|pos 0 adjunct _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 całkiem całkiem qub qub _ 0 adjunct _ _ _
+
+1 nowy nowy adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 stworzony stworzyć ppas ppas sg|acc|m3|perf|aff 0 adjunct _ _ _
+
+1 przez przez prep prep acc|nwok 0 comp _ _ _
+
+1 włoski włoski adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 zespół zespół subst subst sg|acc|m3 0 comp _ _ _
+
+1 projektantów projektant subst subst pl|gen|m1 0 adjunct _ _ _
+
+1 Domenico domenica subst subst sg|voc|f 0 adjunct _ _ _
+
+1 Dolce dolka subst subst sg|dat|f 0 conjunct _ _ _
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 Stefano stefano subst subst sg|nom|m1 0 conjunct _ _ _
+
+1 Gabbana gabban subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 przepełniony przepełnić ppas ppas sg|nom|m3|perf|aff 0 adjunct _ _ _
+
+1 pożądaniem pożądać ger ger sg|inst|n|imperf|aff 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 luksusem luksus subst subst sg|inst|m3 0 conjunct _ _ S
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 oczywiście oczywiście adv adv pos 0 adjunct _ _ _
+
+1 tradycyjnym tradycyjny adj adj sg|inst|m3|pos 0 adjunct _ _ _
+
+1 śródziemnomorskim śródziemnomorski adj adj sg|inst|m3|pos 0 adjunct _ _ _
+
+1 stylem stylo subst subst sg|inst|n 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Przeznaczone przeznaczyć ppas ppas pl|nom|n|perf|aff 0 pred _ _ _
+
+1 raczej raczej qub qub _ 0 adjunct _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ A
+
+1 pewnej pewny adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 siebie się siebie siebie gen 0 conjunct _ _ _
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 szalonej szalony adj adj sg|gen|f|pos 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 nadaje nadawać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 co co qub qub _ 0 adjunct _ _ _
+
+1 dzień dzień subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Na na prep prep acc 0 pred _ _ _
+
+1 dzień dzień subst subst sg|acc|m3 0 comp _ _ A
+
+1 nieco nieco qub qub _ 0 adjunct _ _ _
+
+1 za za prep prep inst 0 adjunct _ _ _
+
+1 ciężki ciężki adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dolce& Dolce& tsym tsym _ 0 pred _ _ _
+
+1 Gabbana gabban subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 Light Light ign ign _ 0 adjunct _ _ _
+
+1 Blue blue subst subst sg|gen|n 0 obj _ _ _
+
+1 to to pred pred _ 0 comp_fin _ _ _
+
+1 owocowo owocowy adja adja _ 0 adjunct _ _ _
+
+1 - - interp interp _ 0 mwe _ _ _
+
+1 kwiatowy kwiatowy adj adj sg|nom|m3|pos 0 mwe _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 pełen pełny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 życia żyć ger ger sg|gen|n|imperf|aff 0 conjunct _ _ _
+
+1 i i conj conj _ 0 subj _ _ _
+
+1 energii energia subst subst sg|gen|f 0 conjunct _ _ _
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 lekki lekki adj adj sg|nom|m1|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 przyjemny przyjemny adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 na na prep prep acc 0 conjunct _ _ _
+
+1 lato lato subst subst sg|acc|n 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zwykła zwyknąć praet praet sg|f|perf 0 pred _ _ _
+
+1 butelka butelka subst subst sg|nom|f 0 subj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 bez bez prep prep gen|nwok 0 adjunct _ _ _
+
+1 rewelacji rewelacja subst subst sg|gen|f 0 comp _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 długo długo adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 utrzymuje utrzymywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 ciele ciało subst subst sg|loc|n 0 comp _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 słabnie słabnąć fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 gorący gorzeć pact pact sg|nom|m1|imperf|aff 0 pred _ _ _
+
+1 namiętny namiętny adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 obj _ _ A
+
+1 tak tak qub qub _ 0 conjunct _ _ _
+
+1 jak jak conj conj _ 0 adjunct _ _ _
+
+1 miłość miłość subst subst sg|nom|f 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 pred _ _ _
+
+1 Kobiet kobieta subst subst pl|gen|f 0 comp _ _ A
+
+1 ceniących cenić pact pact pl|gen|f|imperf|aff 0 adjunct _ _ _
+
+1 jakość jakość subst subst sg|acc|f 0 obj _ _ S
+
+1 perfum perfumy subst subst pl|gen|n 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jeżeli jeżeli conj conj _ 0 adjunct _ _ _
+
+1 ktoś ktoś subst subst sg|nom|m1 0 subj _ _ A
+
+1 już już qub qub _ 0 adjunct _ _ _
+
+1 zdecyduje zdecydować fin fin sg|ter|perf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 wydanie wydać ger ger sg|acc|n|perf|aff 0 comp _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 części część subst subst sg|loc|f 0 comp _ _ _
+
+1 oszczędności oszczędność subst subst sg|gen|f 0 adjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 z z prep prep inst|nwok 0 comp _ _ _
+
+1 pewnością pewność subst subst sg|inst|f 0 comp _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 zawiedzie zawieść fin fin sg|ter|perf 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mają mieć fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 oryginalną oryginalny adj adj sg|acc|f|pos 0 obj _ _ S
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 prostą prosty adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 butelkę butelka subst subst sg|acc|f 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|m1 0 subj _ _ _
+
+1 nadają nadawać fin fin pl|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 zarówno zarówno conj conj _ 0 comp _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 młodych młody adj adj pl|gen|f|pos 0 conjunct _ _ S
+
+1 jak jak conj conj _ 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 starszych stary adj adj pl|gen|f|comp 0 adjunct _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Początkowo początkowo adv adv pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 może móc fin fin sg|ter|imperf 0 pred _ _ _
+
+1 wydawać wydawać inf inf imperf 0 comp_inf _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 trochę trochę subst subst sg|nom|n 0 subj _ _ _
+
+1 duszący dusić pact pact sg|nom|m3|imperf|aff 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 To to pred pred _ 0 pred _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 który który adj adj sg|nom|m3|pos 0 subj _ _ _
+
+1 jednocześnie jednocześnie adv adv pos 0 adjunct _ _ _
+
+1 pociąga pociągać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 odrzuca odrzucać fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Według według prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 godny godny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 polecenia polecić ger ger sg|gen|n|perf|aff 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mają mieć fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 przepiękny przepiękny adj adj sg|acc|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 prosty prosty adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 flakon flakon subst subst sg|acc|m3 0 obj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 lecz lecz conj conj _ 0 coord _ _ _
+
+1 zakrętka zakrętka subst subst sg|nom|f 0 subj _ _ _
+
+1 przypomina przypominać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 duży duży adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 kryształ kryształ subst subst sg|acc|m3 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Najlepsza dobry adj adj sg|nom|f|sup 0 adjunct _ _ S
+
+1 perfuma perfuma subst subst sg|nom|f 0 pred _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 świecie świat subst subst sg|loc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mają mieć fin fin pl|ter|imperf 0 pred _ _ _
+
+1 intensywną intensywny adj adj sg|acc|f|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 kwiatową kwiatowy adj adj sg|acc|f|pos 0 conjunct _ _ _
+
+1 woń woń subst subst sg|acc|f 0 obj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 jednak jednak conj conj _ 0 comp_fin _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 podrażniającą podrażniać pact pact sg|acc|f|imperf|aff 0 conjunct _ _ _
+
+1 nosa nos subst subst sg|gen|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 pred _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ A
+
+1 młodych młody adj adj pl|gen|f|pos 0 adjunct _ _ S
+
+1 duchem duch subst subst sg|inst|m2 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealny idealny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 prezent prezent subst subst sg|nom|m3 0 pred _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 każdej każdy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealnie idealnie adv adv pos 0 adjunct _ _ _
+
+1 nadaje nadawać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 długie długi adj adj pl|acc|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 romantyczne romantyczny adj adj pl|acc|m3|pos 0 conjunct _ _ S
+
+1 wieczory wieczór subst subst pl|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|n 0 pred _ _ _
+
+1 o o prep prep loc 0 adjunct _ _ _
+
+1 świeżym świeży adj adj sg|loc|n|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 przyciągającym przyciągać pact pact sg|loc|m3|imperf|aff 0 conjunct _ _ _
+
+1 zapachu zapach subst subst sg|loc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 To to pred pred _ 0 pred _ _ _
+
+1 przecudny przecudny adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 aromat aromat subst subst sg|nom|m3 0 subj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 słodki słodki adj adj sg|acc|m3|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 wyrazisty wyrazisty adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Crystal crystal subst subst sg|nom|n 0 subj _ _ _
+
+1 Noir noir subst subst sg|nom|m3 0 app _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 obj _ _ A
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ciekawy ciekawy adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 zapamiętywalny zapamiętywalny adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 pieknyi pieknyja subst subst sg|gen|f 0 comp _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 adjunct _ _ A
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 intensywny intensywny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 długo długo adv adv pos 0 adjunct _ _ _
+
+1 utrzymujący utrzymywać pact pact sg|nom|m3|imperf|aff 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 pred _ _ A
+
+1 niby niby prep prep nom 0 adjunct _ _ _
+
+1 ładny ładny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 comp _ _ _
+
+1 nic nic subst subst sg|nom|n 0 app _ _ _
+
+1 szczególnego szczególny adj adj sg|gen|n|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealny idealny adj adj sg|nom|m1|pos 0 pred _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 wieczory wieczór subst subst pl|acc|m3 0 conjunct _ _ A
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 spotkania spotkanie subst subst pl|acc|n 0 conjunct _ _ _
+
+1 biznesowe biznesowy adj adj pl|nom|n|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Wydaje wydawać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 że że conj conj _ 0 coord _ _ _
+
+1 został zostać praet praet sg|m1|perf 0 conjunct _ _ _
+
+1 stworzony stworzyć ppas ppas sg|acc|m3|perf|aff 0 obj _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 starszych stary adj adj pl|gen|m3|comp 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 dojrzałych dojrzały adj adj pl|gen|f|pos 0 conjunct _ _ S
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 Christian christian subst subst sg|nom|m1 0 subj _ _ _
+
+1 Dior dior subst subst sg|acc|m3 0 app _ _ _
+
+1 Miss miss subst subst sg|nom|f 0 app _ _ _
+
+1 Dior dior subst subst sg|nom|m3 0 app _ _ _
+
+1 Cherie-rewelacja cherie-rewelacja subst subst sg|nom|f 0 app _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 każdej każdy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 zmysłowej zmysłowy adj adj sg|gen|f|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 seksownej seksowny adj adj sg|gen|f|pos 0 conjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 pred _ _ A
+
+1 lekki lekki adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 jednak jednak conj conj _ 0 adjunct _ _ _
+
+1 słodki słodki adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 owocowy owocowy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfum perfumy subst subst pl|gen|n 0 pred _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 dojrzałej dojrzały adj adj sg|gen|f|pos 0 conjunct _ _ S
+
+1 oraz oraz conj conj _ 0 comp _ _ _
+
+1 pewnej pewny adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 siebie się siebie siebie gen 0 conjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 conjunct _ _ A
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 To to pred pred _ 0 pred _ _ _
+
+1 jedyny jedyny adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 niepowtarzalny niepowtarzalny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 zapach zapach subst subst sg|acc|m3 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 ta ten adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 oryginalny oryginalny adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 wspaniale wspaniale adv adv pos 0 adjunct _ _ _
+
+1 prezentujący prezentować pact pact sg|nom|m3|imperf|aff 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 flakonik flakonik subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 o o prep prep loc 0 comp _ _ _
+
+1 prostu prosty adjp adjp _ 0 mwe _ _ _
+
+1 śliczny śliczny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 kobiecy kobiecy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Raczej raczej qub qub _ 0 adjunct _ _ _
+
+1 dla dla prep prep gen 0 pred _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ A
+
+1 pewnej pewny adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 siebie się siebie siebie gen 0 conjunct _ _ _
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 zdecydowanej zdecydowany adj adj sg|gen|f|pos 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecam polecać fin fin sg|pri|imperf 0 conjunct _ _ S
+
+1 w w prep prep loc|nwok 0 comp _ _ _
+
+1 szczególnosci szczególnoscia subst subst sg|loc|f 0 comp _ _ _
+
+1 latem lato subst subst sg|inst|n 0 adjunct _ _ A
+
+1 ; ; interp interp _ 0 coord_punct _ _ _
+
+1 - - interp interp _ 0 punct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 napewno napewno adv adv pos 0 adjunct _ _ _
+
+1 spodoba spodobać fin fin sg|ter|perf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 każdej każdy adj adj sg|dat|f|pos 0 adjunct _ _ _
+
+1 brunetce brunetka subst subst sg|dat|f 0 obj_th _ _ _
+
+1 ; ; interp interp _ 0 coord_punct _ _ _
+
+1 - - interp interp _ 0 punct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 Oczywiście oczywiście adv adv pos 0 pred _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 comp _ _ A
+
+1 znany znać ppas ppas sg|nom|m3|imperf|aff 0 adjunct _ _ S
+
+1 nam my ppron12 ppron12 pl|dat|f|pri 0 obj_th _ _ _
+
+1 wszystkim wszystko subst subst sg|loc|n 0 app _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 ona ony adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 przepiękny przepiękny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 zmysłowy zmysłowy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 którego który adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 wręcz wręcz qub qub _ 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 da dać fin fin sg|ter|perf 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 przestać przestać inf inf perf 0 comp_inf _ _ _
+
+1 wąchać wąchać inf inf imperf 0 comp_inf _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Buteleczka buteleczka subst subst sg|nom|f 0 pred _ _ A
+
+1 ładna ładny adj adj sg|nom|f|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 dziewczęca dziewczęcy adj adj sg|nom|f|pos 0 conjunct _ _ _
+
+1 - - interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 adjunct _ _ _
+
+1 jak jak conj conj _ 0 mwe _ _ _
+
+1 całe cały adj adj pl|nom|n|pos 0 adjunct _ _ _
+
+1 perfumy perfumy subst subst pl|nom|n 0 app _ _ _
+
+1 nic nic subst subst sg|nom|n 0 app _ _ _
+
+1 szczególnego szczególny adj adj sg|gen|n|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mieści mieścić fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 w w prep prep loc|nwok 0 comp _ _ _
+
+1 małej mały adj adj sg|loc|f|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 poręcznej poręczny adj adj sg|loc|f|pos 0 conjunct _ _ S
+
+1 buteleczce buteleczka subst subst sg|loc|f 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 która który adj adj sg|nom|f|pos 0 subj _ _ _
+
+1 spokojnie spokojnie adv adv pos 0 adjunct _ _ _
+
+1 zmieści zmieścić fin fin sg|ter|perf 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 w w prep prep loc|nwok 0 comp _ _ _
+
+1 torebce torebka subst subst sg|loc|f 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 więc więc conj conj _ 0 adjunct _ _ _
+
+1 zawsze zawsze qub qub _ 0 adjunct _ _ _
+
+1 można można pred pred _ 0 comp_fin _ _ _
+
+1 ją on ppron3 ppron3 sg|acc|f|ter|akc|npraep 0 obj _ _ _
+
+1 mieć mieć inf inf imperf 0 comp_inf _ _ _
+
+1 przy przy prep prep loc 0 adjunct _ _ _
+
+1 sobie się siebie siebie loc 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 specyficzny specyficzny adj adj sg|nom|m1|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 kwiatowy kwiatowy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 słodki słodki adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 który który adj adj sg|nom|m3|pos 0 subj _ _ _
+
+1 mnie ja ppron12 ppron12 sg|acc|f|pri|akc 0 obj _ _ _
+
+1 osobiście osobiście adv adv pos 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 odpowiada odpowiadać fin fin sg|ter|imperf 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Napewno napewno adv adv pos 0 adjunct _ _ _
+
+1 mogę móc fin fin sg|pri|imperf 0 pred _ _ _
+
+1 powiedzieć powiedzieć inf inf perf 0 comp_inf _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 coord _ _ _
+
+1 ta ten adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 woda woda subst subst sg|nom|f 0 pred _ _ _
+
+1 perfumowana perfumować ppas ppas sg|nom|f|imperf|aff 0 adjunct _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 aux _ _ _
+
+1 mocny mocny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 specyficzny specyficzny adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 app _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 O o prep prep loc 0 comp _ _ _
+
+1 tych ten adj adj pl|loc|n|pos 0 adjunct _ _ _
+
+1 perfumach perfumy subst subst pl|loc|n 0 comp _ _ _
+
+1 marzę marzyć fin fin sg|pri|imperf 0 pred _ _ S
+
+1 już już qub qub _ 0 adjunct _ _ _
+
+1 chyba chyba qub qub _ 0 adjunct _ _ _
+
+1 od od prep prep gen|nwok 0 adjunct _ _ _
+
+1 5 5 tnum tnum integer 0 comp _ _ _
+
+1 lat rok subst subst pl|gen|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 CK ck subst subst sg|nom|n 0 subj _ _ _
+
+1 Euphoria euphorium subst subst pl|nom|n 0 adjunct _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 oryginalny oryginalny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 charakterystyczny charakterystyczny adj adj sg|acc|m3|pos 0 conjunct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 pd _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 który który adj adj sg|nom|m3|pos 0 subj _ _ _
+
+1 zapada zapadać fin fin sg|ter|imperf 0 adjunct _ _ _
+
+1 w w prep prep acc|nwok 0 comp _ _ _
+
+1 pamięć pamięć subst subst sg|acc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 buteleczka buteleczka subst subst sg|nom|f 0 subj _ _ A
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 klasyczna klasyczny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 co co subst subst sg|acc|n 0 obj _ _ _
+
+1 sprawia sprawiać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 że że conj conj _ 0 coord _ _ _
+
+1 przyciąga przyciągać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 wzrok wzrok subst subst sg|acc|m3 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 pred _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ A
+
+1 romantycznej romantyczny adj adj sg|gen|f|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 eterycznej eteryczny adj adj sg|gen|f|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 nienachalny nienachalny adj adj sg|nom|m1|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Euphoria euphorium subst subst pl|nom|n 0 pd _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 słodki słodki adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 esencjonalny esencjonalny adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|m1 0 subj _ _ _
+
+1 mają mieć fin fin pl|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 intensywny intensywny adj adj sg|acc|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 zmysłowy zmysłowy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfum perfumy subst subst pl|gen|n 0 adjunct _ _ _
+
+1 idealny idealny adj adj sg|nom|m1|pos 0 adjunct _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 wieczór wieczór subst subst sg|acc|m3 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 długo długo adv adv pos 0 adjunct _ _ _
+
+1 pachnie pachnąć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mają mieć fin fin pl|ter|imperf 0 pred _ _ _
+
+1 śliczny śliczny adj adj sg|acc|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 słodkawy słodkawy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|n 0 subj _ _ _
+
+1 te ten adj adj pl|nom|n|pos 0 adjunct _ _ _
+
+1 mają mieć fin fin pl|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ładny ładny adj adj sg|acc|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 tajemniczy tajemniczy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dolce& Dolce& tsym tsym _ 0 pred _ _ _
+
+1 Gabana gaban subst subst sg|gen|m1 0 adjunct _ _ _
+
+1 niczego nic subst subst sg|gen|n 0 adjunct _ _ _
+
+1 sobie się siebie siebie dat 0 adjunct _ _ _
+
+1 prześliczny prześliczny adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|acc|m3 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 idealne idealny adj adj pl|nom|n|pos 0 adjunct _ _ S
+
+1 perfumy perfumy subst subst pl|nom|n 0 subj _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 dzień dzień subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 pred _ _ _
+
+1 toaletowa toaletowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 Lacoste lacosty adj adj pl|nom|f|pos 0 adjunct _ _ _
+
+1 Touch touch subst subst sg|nom|m2 0 app _ _ _
+
+1 of of subst subst sg|nom|f 0 app _ _ _
+
+1 Pink pink subst subst sg|nom|m1 0 app _ _ _
+
+1 to to subst subst sg|nom|n 0 app _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 app _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 który który adj adj sg|acc|m3|pos 0 obj _ _ _
+
+1 uwielbiam uwielbiać fin fin sg|pri|imperf 0 conjunct _ _ S
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 używam używać fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 często często adv adv pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealne idealny adj adj sg|nom|n|pos 0 conjunct _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 codzień codzień subst subst sg|acc|m3 0 comp _ _ _
+
+1 jak jak conj conj _ 0 adjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 na na prep prep acc 0 conjunct _ _ _
+
+1 wieczór wieczór subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 pred _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ A
+
+1 pewnych pewny adj adj pl|gen|f|pos 0 adjunct _ _ _
+
+1 siebie się siebie siebie gen 0 conjunct _ _ _
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 zdecydowanych zdecydowany adj adj pl|acc|m1|pos 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 pred _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ A
+
+1 zmysłowych zmysłowy adj adj pl|gen|f|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 romantycznych romantyczny adj adj pl|gen|f|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 seksownych seksowny adj adj pl|gen|f|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|n 0 subj _ _ _
+
+1 mają mieć fin fin pl|ter|imperf 0 pred _ _ _
+
+1 słodki słodki adj adj sg|acc|m3|pos 0 conjunct _ _ S
+
+1 - - interp interp _ 0 adjunct _ _ _
+
+1 owocowy owocowy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mimo mimo prep prep gen 0 adjunct _ _ _
+
+1 wszytsko wszytsko adv adv pos 0 adjunct _ _ _
+
+1 faktycznie faktycznie adv adv pos 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ładny ładny adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 comp _ _ _
+
+1 zmysłowy zmysłowy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 wyrafinowany wyrafinowany adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 pred _ _ A
+
+1 kobiecy kobiecy adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 przyjemny przyjemny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 długotrwały długotrwały adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nuty nut subst subst pl|nom|m3 0 conjunct _ _ A
+
+1 jakby jakby conj conj _ 0 coord _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 za za prep prep acc 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 rozwijały rozwijać praet praet pl|m3|imperf 0 comp _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 pachnie pachnąć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 cynamonem cynamon subst subst sg|inst|m3 0 conjunct _ _ _
+
+1 choć choć conj conj _ 0 obj _ _ _
+
+1 główna główny adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 nuta nuta subst subst sg|nom|f 0 conjunct _ _ _
+
+1 to to subst subst sg|acc|n 0 obj _ _ _
+
+1 bardziej bardzo adv adv comp 0 adjunct _ _ _
+
+1 mandarynka mandarynka subst subst sg|nom|f 0 app _ _ _
+
+1 :/ :/ tsym tsym _ 0 punct _ _ _
+
+1 Ładne ładny adj adj sg|nom|n|pos 0 adjunct _ _ S
+
+1 opakowanie opakować ger ger sg|acc|n|perf|aff 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 flakon flakon subst subst sg|nom|m3 0 subj _ _ A
+
+1 już już qub qub _ 0 adjunct _ _ _
+
+1 robią robić fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 wrażenie wrażenie subst subst sg|acc|n 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ta ten adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 toaletowa toaletowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 fajny fajny adj adj sg|nom|m1|pos 0 adjunct _ _ S
+
+1 męski męski adj adj sg|nom|m3|pos 0 pd _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 coord _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 lekki lekki adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Paco paca subst subst sg|voc|f 0 pred _ _ _
+
+1 Rabanne rabanny adj adj sg|nom|n|pos 0 adjunct _ _ _
+
+1 1 1 tnum tnum integer 0 conjunct _ _ _
+
+1 Million million xxx xxx _ 0 punct _ _ _
+
+1 to to conj conj _ 0 pre_coord _ _ _
+
+1 drogi drogi adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 adjunct _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 pewno pewno adv adv pos 0 mwe _ _ _
+
+1 wart wart subst subst sg|nom|m3 0 comp _ _ S
+
+1 swojej swój adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 ceny cena subst subst sg|gen|f 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|m1 0 subj _ _ _
+
+1 mają mieć fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 przyjemny przyjemny adj adj sg|nom|m1|pos 0 pd _ _ S
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 świerzy świerzyć fin fin sg|ter|perf 0 conjunct _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jak jak conj conj _ 0 pre_coord _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 za za prep prep inst 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 przenikliwy przenikliwy adj adj sg|acc|m3|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 przesycony przesycić ppas ppas sg|nom|m3|perf|aff 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 conjunct _ _ _
+
+1 każdej każdy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ A
+
+1 pewnej pewny adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 swojej swój adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 kobiecości kobiecość subst subst sg|gen|f 0 adjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 zdecydowanej zdecydowany adj adj sg|gen|f|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 oraz oraz conj conj _ 0 coord _ _ _
+
+1 dla dla prep prep gen 0 conjunct _ _ _
+
+1 romantyczki romantyczka subst subst sg|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Flakonik flakonik subst subst sg|nom|m3 0 subj _ _ A
+
+1 ładnie ładnie adv adv pos 0 adjunct _ _ _
+
+1 prezentuje prezentować fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 toaletce toaletka subst subst sg|loc|f 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 poręczny poręczny adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Christian christian subst subst sg|nom|m1 0 pred _ _ _
+
+1 Dior dior subst subst sg|acc|m3 0 app _ _ _
+
+1 J`adore J`adore tsym tsym _ 0 adjunct _ _ _
+
+1 to to subst subst sg|acc|n 0 comp _ _ _
+
+1 naprawdę naprawdę qub qub _ 0 adjunct _ _ _
+
+1 przepiękny przepiękny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|nom|m3 0 app _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 pred _ _ A
+
+1 wg wg qub qub _ 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 jestcudowny jestcudowny adj adj sg|nom|m1|pos 0 conjunct _ _ _
+
+1 i i conj conj _ 0 obj _ _ _
+
+1 nietuzinkowy nietuzinkowy adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 EDP edpa subst subst pl|gen|f 0 pred _ _ _
+
+1 - - interp interp _ 0 punct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 app _ _ A
+
+1 mocno mocno adv adv pos 0 adjunct _ _ _
+
+1 imbirowy imbirowy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 ciężki ciężki adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 przyciąga przyciągać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 uwagi uwaga subst subst sg|gen|f 0 obj _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 wydaje wydawać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 dość dość qub qub _ 0 adjunct _ _ _
+
+1 nijaki nijaki adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecam polecać fin fin sg|pri|imperf 0 conjunct _ _ S
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 100% 100% tsym tsym _ 0 comp _ _ _
+
+1 - - interp interp _ 0 punct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 app _ _ A
+
+1 przecudowny przecudowny adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 długo długo adv adv pos 0 adjunct _ _ _
+
+1 utrzymuje utrzymywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 ciele ciało subst subst sg|loc|n 0 comp _ _ _
+
+1 , , interp interp _ 0 conjunct _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 ubraniach ubranie subst subst pl|loc|n 0 comp _ _ _
+
+1 jeszcze jeszcze qub qub _ 0 adjunct _ _ _
+
+1 dłużej długo adv adv comp 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 pred _ _ A
+
+1 dość dość qub qub _ 0 adjunct _ _ _
+
+1 lekki lekki adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 - - interp interp _ 0 mwe _ _ _
+
+1 słodko słodko adv adv pos 0 mwe _ _ _
+
+1 - - interp interp _ 0 mwe _ _ _
+
+1 kwaśny kwaśny adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Calvin calvina subst subst pl|gen|f 0 pd _ _ _
+
+1 Klein kleina subst subst pl|gen|f 0 adjunct _ _ _
+
+1 Eternity eternit subst subst pl|acc|m3 0 adjunct _ _ _
+
+1 to to pred pred _ 0 conjunct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ A
+
+1 kwiatowy kwiatowy adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 coord _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 mocny mocny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 subj _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 każdemu każdy adj adj sg|dat|m3|pos 0 conjunct _ _ _
+
+1 spodoba spodobać fin fin sg|ter|perf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 może może qub qub _ 0 adjunct _ _ _
+
+1 raczej raczej qub qub _ 0 adjunct _ _ _
+
+1 design design subst subst sg|acc|m3 0 obj _ _ _
+
+1 pojemnika pojemnik subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 znany znany adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 chyba chyba qub qub _ 0 adjunct _ _ _
+
+1 każdemu każdy adj adj sg|dat|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 kto kto subst subst sg|nom|m1 0 conjunct _ _ _
+
+1 choć choć conj conj _ 0 adjunct _ _ _
+
+1 raz raz subst subst sg|nom|m3 0 conjunct _ _ _
+
+1 pojawił pojawić praet praet sg|m1|perf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 w w prep prep loc|nwok 0 comp _ _ _
+
+1 perfumerii perfumeria subst subst sg|loc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nie nie qub qub _ 0 neg _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 chyba chyba qub qub _ 0 adjunct _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 rynku rynek subst subst sg|loc|m3 0 comp _ _ _
+
+1 słabego słaby adj adj sg|gen|m3|pos 0 adjunct _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 lub lub conj conj _ 0 coord _ _ _
+
+1 brzydkiego brzydki adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 zapachu zapach subst subst sg|gen|m3 0 conjunct _ _ A
+
+1 od od prep prep gen|nwok 0 adjunct _ _ _
+
+1 Hugo hugo subst subst sg|nom|m1 0 comp _ _ _
+
+1 Bossa boss subst subst sg|gen|m1 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Armani arman subst subst pl|nom|m1 0 conjunct _ _ _
+
+1 Acqua acquum subst subst pl|voc|n 0 adjunct _ _ _
+
+1 di di subst subst sg|gen|m1 0 adjunct _ _ _
+
+1 Gio gia subst subst sg|voc|f 0 adjunct _ _ _
+
+1 Pour pour subst subst sg|nom|m2 0 app _ _ _
+
+1 to to subst subst sg|nom|n 0 subj _ _ _
+
+1 chyba chyba qub qub _ 0 adjunct _ _ _
+
+1 najbardziej bardzo adv adv sup 0 adjunct _ _ _
+
+1 znanych znany adj adj pl|gen|f|pos 0 adjunct _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 najchętniej chętnie adv adv sup 0 adjunct _ _ _
+
+1 używany używać ppas ppas sg|nom|m3|imperf|aff 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 tej ten adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 firmy firma subst subst sg|gen|f 0 adjunct _ _ _
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 To to pred pred _ 0 conjunct _ _ _
+
+1 prawdziwa prawdziwy adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 trucizna trucizna subst subst sg|nom|f 0 subj _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 coord _ _ _
+
+1 nie nie qub qub _ 0 conjunct _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jak jak conj conj _ 0 adjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 tytule tytuł subst subst sg|loc|m3 0 comp _ _ _
+
+1 - - interp interp _ 0 coord_punct _ _ _
+
+1 silny silny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 urzekający urzekać pact pact sg|nom|m3|imperf|aff 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 kwiatowy kwiatowy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 pred _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 ładny ładny adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 długo długo adv adv pos 0 adjunct _ _ _
+
+1 utrzymujący utrzymywać pact pact sg|nom|m3|imperf|aff 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 ubraniach ubranie subst subst pl|loc|n 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 ciele ciało subst subst sg|loc|n 0 conjunct _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 app _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 5 5 tnum tnum integer 0 pred _ _ _
+
+1 to to subst subst sg|nom|n 0 subj _ _ _
+
+1 jeden jeden adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 najbardziej bardzo adv adv sup 0 adjunct _ _ _
+
+1 chyba chyba qub qub _ 0 adjunct _ _ _
+
+1 znanych znany adj adj pl|gen|m3|pos 0 comp _ _ S
+
+1 przez przez prep prep acc|nwok 0 comp _ _ _
+
+1 wszystkich wszystek adj adj pl|gen|m3|pos 0 adjunct _ _ _
+
+1 zapachów zapach subst subst pl|gen|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nadaje nadawać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 biustowi biust subst subst sg|dat|m3 0 obj_th _ _ _
+
+1 ślicznego śliczny adj adj sg|gen|m3|pos 0 adjunct _ _ S
+
+1 wyglądu wygląd subst subst sg|gen|m3 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealnie idealnie adv adv pos 0 adjunct _ _ _
+
+1 pasuje pasować fin fin sg|ter|imperf 0 pred _ _ S
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 bluzek bluzka subst subst pl|gen|f 0 comp _ _ A
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 wielkimi wielki adj adj pl|inst|f|pos 0 adjunct _ _ _
+
+1 dekoltami-po dekoltami-po adv adv pos 0 adjunct _ _ _
+
+1 to to pred pred _ 0 comp _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 sumie suma subst subst sg|loc|f 0 comp _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 stworzony stworzyć ppas ppas sg|nom|m1|perf|aff 0 subj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 pomysłowy pomysłowy adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 kształt kształt subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 A a conj conj _ 0 coord _ _ _
+
+1 dokładniej dokładnie adv adv comp 0 pred _ _ _
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 głęboko głęboko adv adv pos 0 adjunct _ _ _
+
+1 wyciętej wyciąć ppas ppas sg|gen|f|perf|aff 0 adjunct _ _ S
+
+1 sukienki sukienka subst subst sg|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealny idealny adj adj sg|nom|m1|pos 0 pred _ _ S
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 sukienek sukienka subst subst pl|gen|f 0 comp _ _ A
+
+1 wieczorowych wieczorowy adj adj pl|gen|f|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealnie idealnie adv adv pos 0 adjunct _ _ _
+
+1 pasuje pasować fin fin sg|ter|imperf 0 pred _ _ S
+
+1 również również qub qub _ 0 adjunct _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 sukni suknia subst subst sg|gen|f 0 comp _ _ A
+
+1 wieczorowej wieczorowy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 To to pred pred _ 0 conjunct _ _ _
+
+1 ciekawy ciekawy adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 prezentuje prezentować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 orginalnie orginalnie adv adv pos 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 niespotykany niespotykany adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Można można pred pred _ 0 pred _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 nosić nosić inf inf imperf 0 comp_inf _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 głębokich głęboki adj adj pl|gen|m3|pos 0 adjunct _ _ S
+
+1 dekoltów dekolt subst subst pl|gen|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 opływa opływać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 ciało ciało subst subst sg|nom|n 0 subj _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 podkreśla podkreślać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 biust biust subst subst sg|nom|m3 0 subj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 idealny idealny adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 ładny ładny adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 kwiatowy kwiatowy adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 motyw motyw subst subst sg|acc|m3 0 obj _ _ A
+
+1 który który adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 ciekawie ciekawie adv adv pos 0 comp _ _ _
+
+1 wygląda wyglądać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 pod pod prep prep acc|nwok 0 comp _ _ _
+
+1 przezroczystą przezroczysty adj adj sg|acc|f|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 comp _ _ _
+
+1 gładką gładki adj adj sg|acc|f|pos 0 conjunct _ _ _
+
+1 letnia letni adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 bluzeczką bluzeczka subst subst sg|inst|f 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 wykonany wykonać ppas ppas sg|nom|m3|perf|aff 0 pd _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 miłego miły adj adj sg|gen|m3|pos 0 comp _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 ciała ciało subst subst sg|gen|n 0 comp _ _ A
+
+1 materiału materiał subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nie nie qub qub _ 0 neg _ _ _
+
+1 uwiera uwierać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 ani ani conj conj _ 0 coord _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 przeszkadza przeszkadzać fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 przez przez prep prep acc|nwok 0 comp _ _ _
+
+1 cały cały adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 dzień dzień subst subst sg|acc|m3 0 comp _ _ A
+
+1 noszenia noszenie subst subst sg|gen|n 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Kolorystyka kolorystyka subst subst sg|nom|f 0 subj _ _ A
+
+1 jego on ppron3 ppron3 sg|gen|m1|ter|akc|npraep 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ciekawa ciekawy adj adj sg|nom|f|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 wykonany wykonać ppas ppas sg|nom|m3|perf|aff 0 adjunct _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 tiulu tiul subst subst sg|gen|m3 0 comp _ _ _
+
+1 wykończony wykończyć ppas ppas sg|nom|m3|perf|aff 0 pred _ _ _
+
+1 ozdobną ozdobny adj adj sg|inst|f|pos 0 adjunct _ _ S
+
+1 tasiemką tasiemka subst subst sg|inst|f 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Produkt produkt subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 elegancki elegancki adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 idealne idealny adj adj pl|nom|m3|pos 0 subj _ _ S
+
+1 układa układać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 piersi pierś subst subst pl|acc|f 0 obj _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 podtrzymuje podtrzymywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 je on ppron3 ppron3 pl|acc|f|ter|akc|npraep 0 obj _ _ _
+
+1 doskonale doskonale adv adv pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 pod pod prep prep acc|nwok 0 comp _ _ _
+
+1 białe biały adj adj pl|acc|f|pos 0 adjunct _ _ _
+
+1 bluzki bluzka subst subst pl|acc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 przyjemny przyjemny adj adj sg|nom|m1|pos 0 pd _ _ S
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 ciała ciało subst subst sg|gen|n 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Przez przez prep prep acc|nwok 0 adjunct _ _ _
+
+1 to to subst subst sg|acc|n 0 comp _ _ _
+
+1 zdarza zdarzać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 unosi unosić fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 nadmierni nadmierny adj adj pl|nom|m1|pos 0 pd _ _ S
+
+1 ku ku prep prep dat 0 adjunct _ _ _
+
+1 górze góra subst subst sg|dat|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealny idealny adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 Pań pani subst subst pl|gen|f 0 comp _ _ A
+
+1 o o prep prep loc 0 adjunct _ _ _
+
+1 większym wielki adj adj sg|loc|m3|comp 0 adjunct _ _ _
+
+1 biuście biust subst subst sg|loc|m3 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 bo bo conj conj _ 0 coord _ _ _
+
+1 naprawdę naprawdę qub qub _ 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 czuje czuć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 complm _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 nosi nosić fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 a a conj conj _ 0 conjunct _ _ _
+
+1 biust biust subst subst sg|nom|m3 0 subj _ _ _
+
+1 wygląda wyglądać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 przepięknie przepięknie adv adv pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Stanik stanik subst subst sg|nom|m3 0 subj _ _ A
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 fajny fajny adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Pięknie pięknie adv adv pos 0 adjunct _ _ _
+
+1 wykonany wykonać ppas ppas sg|nom|m3|perf|aff 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ozdobny ozdobny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 biustonosz biustonosz subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nie nie qub qub _ 0 neg _ _ _
+
+1 uwiera uwierać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 odziera odzierać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 jak jak conj conj _ 0 comp_fin _ _ _
+
+1 dla dla prep prep gen 0 conjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 produkt produkt subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 wysokogatunkowy wysokogatunkowy adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 który który adj adj sg|nom|m3|pos 0 subj _ _ _
+
+1 zasługuje zasługiwać fin fin sg|ter|imperf 0 adjunct _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 to to subst subst sg|acc|n 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 by by conj conj _ 0 obj _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 mieć mieć inf inf imperf 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 produkt produkt subst subst sg|nom|m3 0 subj _ _ A
+
+1 pierwszej pierwszy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 jakości jakość subst subst sg|gen|f 0 adjunct _ _ S
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Mimo mimo prep prep gen 0 conjunct _ _ _
+
+1 , , interp interp _ 0 comp _ _ _
+
+1 że że conj conj _ 0 coord _ _ _
+
+1 gustuję gustować fin fin sg|pri|imperf 0 conjunct _ _ S
+
+1 raczej raczej qub qub _ 0 adjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 gładkich gładki adj adj pl|loc|m3|pos 0 adjunct _ _ _
+
+1 biustonoszach biustonosz subst subst pl|loc|m3 0 comp _ _ A
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 przypadł przypaść praet praet sg|m3|perf 0 comp_fin _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 gustu gust subst subst sg|gen|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Po po prep prep loc 0 adjunct _ _ _
+
+1 praniu prać ger ger sg|loc|n|imperf|aff 0 comp _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 traci tracić fin fin sg|ter|imperf 0 pred _ _ S
+
+1 kolorów kolor subst subst pl|gen|m3 0 conjunct _ _ _
+
+1 i i conj conj _ 0 subj _ _ _
+
+1 fasonu fason subst subst sg|gen|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Piersi pierś subst subst sg|gen|f 0 comp _ _ A
+
+1 świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 nim on ppron3 ppron3 sg|loc|m3|ter|akc|praep 0 comp _ _ _
+
+1 układają układać fin fin pl|ter|imperf 0 pred _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 najważniejsze ważny adj adj sg|nom|n|sup 0 pd _ _ S
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 tym ten adj adj sg|loc|m3|pos 0 adjunct _ _ _
+
+1 biustonoszu biustonosz subst subst sg|loc|m3 0 comp _ _ A
+
+1 są być fin fin pl|ter|imperf 0 pred _ _ _
+
+1 jego on ppron3 ppron3 sg|gen|m1|ter|akc|npraep 0 adjunct _ _ _
+
+1 wkładki wkładka subst subst sg|gen|f 0 obj _ _ _
+
+1 push pusha subst subst pl|gen|f 0 adjunct _ _ _
+
+1 up up qub qub _ 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Według według prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|m1|pri|akc 0 comp _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 prześliczny prześliczny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealny idealny adj adj sg|nom|m1|pos 0 pred _ _ S
+
+1 pod pod prep prep acc|nwok 0 adjunct _ _ _
+
+1 każdą każdy adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 bluzkę bluzka subst subst sg|acc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ramiączka ramiączko subst subst pl|nom|n 0 subj _ _ _
+
+1 są być fin fin pl|ter|imperf 0 aux _ _ _
+
+1 odpinane odpinać ppas ppas pl|nom|n|imperf|aff 0 conjunct _ _ _
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 dość dość qub qub _ 0 adjunct _ _ _
+
+1 szeroko szeroko adv adv pos 0 adjunct _ _ _
+
+1 rozstawione rozstawić ppas ppas pl|nom|m3|perf|aff 0 conjunct _ _ _
+
+1 ( ( interp interp _ 0 punct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 widać widać pred pred _ 0 comp_fin _ _ _
+
+1 ich on ppron3 ppron3 pl|gen|n|ter|akc|npraep 0 adjunct _ _ _
+
+1 przy przy prep prep loc 0 adjunct _ _ _
+
+1 szerokim szeroki adj adj sg|loc|m3|pos 0 adjunct _ _ S
+
+1 dekolcie dekolt subst subst sg|loc|m3 0 comp _ _ A
+
+1 ) ) interp interp _ 0 coord_punct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Super super xxx xxx _ 0 adjunct _ _ S
+
+1 podtrzumuje podtrzumować fin fin sg|ter|imperf 0 pred _ _ _
+
+1 piersi pierś subst subst pl|acc|f 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dobra dobry adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 bielizna bielizna subst subst sg|nom|f 0 subj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ładnie ładnie adv adv pos 0 adjunct _ _ _
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 solidnie solidnie adv adv pos 0 adjunct _ _ _
+
+1 uszyta uszyć ppas ppas sg|nom|f|perf|aff 0 pred _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Stanik stanik subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 skromny skromny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 coord _ _ _
+
+1 też też qub qub _ 0 conjunct _ _ _
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 seksowny seksowny adj adj sg|nom|m1|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 kobiecy kobiecy adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 kolor kolor subst subst sg|acc|m3 0 comp _ _ _
+
+1 - - interp interp _ 0 punct _ _ _
+
+1 śliczny śliczny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 odcień odcień subst subst sg|nom|m3 0 adjunct _ _ A
+
+1 różu róż subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Posiada posiadać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 również również qub qub _ 0 adjunct _ _ _
+
+1 elegancki elegancki adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 subj _ _ _
+
+1 kobiecy kobiecy adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 wygląd wygląd subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealnie idealnie adv adv pos 0 adjunct _ _ _
+
+1 pasuje pasować fin fin sg|ter|imperf 0 pred _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 każdą każdy adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 sylwetkę sylwetka subst subst sg|acc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Wkoło wkoło prep prep gen 0 comp _ _ _
+
+1 biustu biust subst subst sg|gen|m3 0 comp _ _ _
+
+1 widnieją widnieć fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 także także qub qub _ 0 adjunct _ _ _
+
+1 urocze uroczy adj adj pl|nom|m3|pos 0 adjunct _ _ S
+
+1 hafty haft subst subst pl|nom|m3 0 subj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 które który adj adj pl|nom|m3|pos 0 subj _ _ _
+
+1 dodadzą dodać fin fin pl|ter|perf 0 adjunct _ _ _
+
+1 tajmeniczości tajmeniczość subst subst pl|nom|f 0 subj _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 zaintrygują zaintrygować fin fin pl|ter|perf 0 conjunct _ _ _
+
+1 partnera partner subst subst sg|acc|m1 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Efektem efekt subst subst sg|inst|m3 0 pd _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 optycznie optycznie adv adv pos 0 adjunct _ _ _
+
+1 powiększone powiększyć ppas ppas pl|nom|f|perf|aff 0 adjunct _ _ S
+
+1 piersi pierś subst subst pl|acc|f 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 oryginalny oryginalny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 fason fason subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Stanik stanik subst subst sg|nom|m3 0 subj _ _ A
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 dobry dobry adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 jakościowo jakościowo adv adv pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 pred _ _ _
+
+1 elegancki elegancki adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 obj _ _ _
+
+1 gustownie gustownie adv adv pos 0 adjunct _ _ _
+
+1 uszyty uszyć ppas ppas sg|nom|m3|perf|aff 0 adjunct _ _ _
+
+1 stanik stanik subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 przyjemny przyjemny adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 noszenia noszenie subst subst sg|gen|n 0 comp _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 uwiera uwierać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Kolory kolor subst subst pl|nom|m3 0 subj _ _ _
+
+1 które który adj adj pl|nom|m3|pos 0 adjunct _ _ _
+
+1 zostały zostać praet praet pl|m3|perf 0 aux _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 nim on ppron3 ppron3 sg|loc|m3|ter|akc|praep 0 comp _ _ _
+
+1 użyte użyć ppas ppas sg|acc|n|perf|aff 0 adjunct _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 biały biały adj adj sg|nom|m1|pos 0 conjunct _ _ _
+
+1 i i conj conj _ 0 pd _ _ _
+
+1 czarny czarny adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 co co subst subst sg|nom|n 0 subj _ _ _
+
+1 daje dawać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 mu on ppron3 ppron3 sg|dat|m1|ter|nakc|npraep 0 obj_th _ _ _
+
+1 estetyczny estetyczny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 wygląd wygląd subst subst sg|acc|m3 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Śliczna śliczny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 sexowna sexowny adj adj sg|nom|f|pos 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 zmysłowa zmysłowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 bielizna bielizna subst subst sg|nom|f 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 genialny genialny adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecam polecać fin fin sg|pri|imperf 0 conjunct _ _ S
+
+1 produkt produkt subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 gdyż gdyż conj conj _ 0 pd _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 tylko tylko qub qub _ 0 adjunct _ _ _
+
+1 ładnie ładnie adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 prezentuje prezentować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 pod pod prep prep inst|nwok 0 comp _ _ _
+
+1 bluzeczką bluzeczka subst subst sg|inst|f 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 conjunct _ _ _
+
+1 także także qub qub _ 0 conjunct _ _ _
+
+1 bez bez prep prep gen|nwok 0 adjunct _ _ _
+
+1 niej on ppron3 ppron3 sg|gen|f|ter|akc|praep 0 comp _ _ _
+
+1 ; ; interp interp _ 0 coord_punct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 fajny fajny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 fason fason subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 i i conj conj _ 0 subj _ _ _
+
+1 kolory kolor subst subst pl|acc|m3 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ogólny ogólny adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 wygląd wygląd subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 dość dość qub qub _ 0 adjunct _ _ _
+
+1 pozytywny pozytywny adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jeden jeden adj adj sg|nom|m1|pos 0 adjunct _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 najlepszych dobry adj adj pl|gen|m3|sup 0 adjunct _ _ S
+
+1 modeli model subst subst pl|gen|m3 0 comp _ _ A
+
+1 jakie jaki adj adj pl|nom|m3|pos 0 adjunct _ _ _
+
+1 miała mieć praet praet sg|f|imperf 0 pred _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Kupiła kupić praet praet sg|f|imperf 0 pred _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 z z prep prep inst|nwok 0 comp _ _ _
+
+1 myślą myśl subst subst sg|inst|f 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 adjunct _ _ _
+
+1 włożę włożyć fin fin sg|pri|perf 0 conjunct _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 pod pod prep prep acc|nwok 0 adjunct _ _ _
+
+1 elegancką elegancki adj adj sg|acc|f|pos 0 adjunct _ _ S
+
+1 bluzkę bluzka subst subst sg|acc|f 0 comp _ _ A
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 Sylwestra sylwester subst subst sg|gen|m3 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 subj _ _ _
+
+1 okazało okazać praet praet sg|n|perf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 conjunct _ _ _
+
+1 doskonale doskonale adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 sprawdza sprawdzać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 codzień codzień subst subst sg|acc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 estetyczny estetyczny adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Stanik stanik subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 naprawdę naprawdę qub qub _ 0 adjunct _ _ _
+
+1 super super xxx xxx _ 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 naprawdę naprawdę qub qub _ 0 adjunct _ _ _
+
+1 przepiękny przepiękny adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Przy przy prep prep loc 0 adjunct _ _ _
+
+1 tym to subst subst sg|loc|n 0 comp _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 fajny fajny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 krój krój subst subst sg|nom|m3 0 subj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 który który adj adj sg|nom|m3|pos 0 subj _ _ _
+
+1 podkreśla podkreślać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 uwydatnia uwydatniać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 biust biust subst subst sg|acc|m3 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Klasyczny klasyczny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 stanik stanik subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 jednak jednak conj conj _ 0 mwe _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 adjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 sobie się siebie siebie loc 0 comp _ _ _
+
+1 coś coś subst subst sg|acc|n 0 obj _ _ _
+
+1 co co subst subst sg|nom|n 0 subj _ _ _
+
+1 przykuwa przykuwać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 uwagę uwaga subst subst sg|acc|f 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Uważam uważać fin fin sg|pri|imperf 0 pred _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 complm _ _ _
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 stanik stanik subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 wart wart subst subst sg|nom|m3 0 subj _ _ S
+
+1 polecenia polecić ger ger sg|gen|n|perf|aff 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Rewelacyjnie rewelacyjnie adv adv pos 0 adjunct _ _ _
+
+1 sprawdza sprawdzać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 pod pod prep prep acc|nwok 0 comp _ _ _
+
+1 gładkie gładki adj adj pl|acc|f|pos 0 adjunct _ _ _
+
+1 wymagające wymagający adj adj pl|acc|f|pos 0 adjunct _ _ S
+
+1 sukienki sukienka subst subst pl|acc|f 0 comp _ _ A
+
+1 wieczorowe wieczorowy adj adj pl|acc|f|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 coord _ _ _
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 codzień codzień subst subst sg|acc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Przerzuciła przerzucić praet praet sg|f|perf 0 conjunct _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 tanich tani adj adj pl|gen|m3|pos 0 adjunct _ _ S
+
+1 biustonoszy biustonosz subst subst pl|gen|m3 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 które który adj adj pl|nom|m3|pos 0 subj _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 szybko szybko adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 rozciągają rozciągać fin fin pl|ter|imperf 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 triumph triumpha subst subst pl|gen|f 0 comp _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 jestem być fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 zadowolona zadowolony adj adj sg|nom|f|pos 0 pd _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Stanik stanik subst subst sg|nom|m3 0 subj _ _ A
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 drogiej drogi adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 firmy firma subst subst sg|gen|f 0 comp _ _ _
+
+1 Triumph triumpha subst subst pl|gen|f 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 śliczny śliczny adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 pred _ _ A
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 elegancki elegancki adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 a a conj conj _ 0 adjunct _ _ _
+
+1 równocześnie równocześnie adv adv pos 0 adjunct _ _ _
+
+1 sexowny sexowny adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Naprawdę naprawdę qub qub _ 0 adjunct _ _ _
+
+1 uważam uważać fin fin sg|pri|imperf 0 pred _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 complm _ _ _
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 produkt produkt subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 wart wart subst subst sg|nom|m3 0 subj _ _ S
+
+1 polecenia polecić ger ger sg|gen|n|perf|aff 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Uważam uważać fin fin sg|pri|imperf 0 pred _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 comp_fin _ _ _
+
+1 to to pred pred _ 0 conjunct _ _ _
+
+1 najgorszy zły adj adj sg|nom|m3|sup 0 adjunct _ _ S
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jaki jaki adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 zdarzyło zdarzyć praet praet sg|n|perf 0 aux _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 nosić nosić inf inf imperf 0 comp_inf _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 samonośny samonośny adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 po po prep prep loc 0 adjunct _ _ _
+
+1 prostu prosty adjp adjp _ 0 mwe _ _ _
+
+1 okropny okropny adj adj sg|nom|m1|pos 0 pd _ _ S
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 beznadziejny beznadziejny adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 samonośny samonośny adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 żadną żaden adj adj sg|inst|f|pos 0 adjunct _ _ _
+
+1 rewelacją rewelacja subst subst sg|inst|f 0 pd _ _ S
+
+1 jak jak conj conj _ 0 coord _ _ _
+
+1 by by qub qub _ 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 można można pred pred _ 0 conjunct _ _ _
+
+1 było być praet praet sg|n|imperf 0 aux _ _ _
+
+1 spodziewać spodziewać inf inf imperf 0 comp_inf _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Sukienka sukienka subst subst sg|nom|f 0 subj _ _ A
+
+1 też też qub qub _ 0 adjunct _ _ _
+
+1 lepiej dobrze adv adv comp 0 comp _ _ S
+
+1 leży leżeć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 widzą widzieć fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 wszyscy wszystek adj adj pl|nom|m1|pos 0 pd _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 robi robić fin fin sg|ter|imperf 0 adjunct _ _ _
+
+1 nam my ppron12 ppron12 pl|dat|f|pri 0 obj_th _ _ _
+
+1 chłodno chłodno adv adv pos 0 adjunct _ _ _
+
+1 ; ; interp interp _ 0 coord_punct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 ppowoduje ppowodować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 podrażnień podrażnienie subst subst pl|gen|n 0 obj _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 odparzeń odparzenie subst subst pl|gen|n 0 adjunct _ _ _
+
+1 Noszę nosić fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 pod pod prep prep acc|nwok 0 comp _ _ _
+
+1 cienkie cienki adj adj pl|acc|f|pos 0 adjunct _ _ S
+
+1 lekkie lekki adj adj pl|acc|f|pos 0 adjunct _ _ _
+
+1 sukienki sukienka subst subst pl|acc|f 0 conjunct _ _ A
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 bluzeczki bluzeczka subst subst sg|gen|f 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Stanik stanik subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 niewygodny niewygodny adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 praktyczny praktyczny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 fajny fajny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 kształt kształt subst subst sg|acc|m3 0 comp _ _ A
+
+1 miseczek miseczka subst subst pl|gen|f 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 lubię lubić fin fin sg|pri|imperf 0 pred _ _ S
+
+1 ten ten adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 cielisty cielisty adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 kolor kolor subst subst sg|acc|m3 0 obj _ _ _
+
+1 biustonosza biustonosz subst subst sg|gen|m3 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jestem być fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 w w prep prep loc|nwok 0 comp _ _ _
+
+1 100% 100% tsym tsym _ 0 comp _ _ _
+
+1 zadowolona zadowolić ppas ppas sg|nom|f|perf|aff 0 conjunct _ _ S
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 tego ten adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 produktu produkt subst subst sg|gen|m3 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 a a conj conj _ 0 conjunct _ _ _
+
+1 koleżanki koleżanka subst subst pl|nom|f 0 subj _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 zazdroszczą zazdrościć fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 : : interp interp _ 0 coord_punct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 Przecudowny przecudowny adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 haft haft subst subst sg|nom|m3 0 subj _ _ A
+
+1 dodaję dodawać fin fin sg|pri|imperf 0 pred _ _ _
+
+1 mu on ppron3 ppron3 sg|dat|m1|ter|nakc|npraep 0 adjunct _ _ _
+
+1 uroku urok subst subst sg|gen|m3 0 obj _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ładnie ładnie adv adv pos 0 pred _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 precyzyjnie precyzyjnie adv adv pos 0 adjunct _ _ _
+
+1 wykończony wykończony adj adj sg|nom|m1|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 mnóstwem mnóstwo subst subst sg|inst|n 0 comp _ _ S
+
+1 zdobień zdobienie subst subst pl|gen|n 0 conjunct _ _ A
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 ażurków ażurek subst subst pl|gen|m3 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Podkreśla podkreślać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 biust biust subst subst sg|nom|m3 0 subj _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 zmniejsza zmniejszać fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 odstępy odstęp subst subst pl|acc|m3 0 obj _ _ _
+
+1 między między prep prep inst 0 adjunct _ _ _
+
+1 piersiami pierś subst subst pl|inst|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mały mały adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biust biust subst subst sg|nom|m3 0 subj _ _ _
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 zginie zginąć fin fin sg|ter|perf 0 pred _ _ S
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 takim taki adj adj sg|loc|m3|pos 0 adjunct _ _ _
+
+1 kroju krój subst subst sg|loc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Stanik stanik subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 wygodny wygodny adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 miły miły adj adj sg|nom|m3|pos 0 subj _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 skóry skóra subst subst sg|gen|f 0 comp _ _ A
+
+1 idealnie idealnie adv adv pos 0 adjunct _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 niej on ppron3 ppron3 sg|gen|f|ter|akc|praep 0 comp _ _ _
+
+1 przylega przylegać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 po po prep prep loc 0 adjunct _ _ _
+
+1 prostu prosty adjp adjp _ 0 mwe _ _ _
+
+1 śliczny śliczny adj adj sg|nom|m1|pos 0 pd _ _ S
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Ładnie ładnie adv adv pos 0 adjunct _ _ _
+
+1 wygląda wyglądać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 śliczne śliczny adj adj pl|acc|f|pos 0 adjunct _ _ S
+
+1 koronki koronka subst subst pl|acc|f 0 conjunct _ _ A
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 kokardkę kokardka subst subst sg|acc|f 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Materiały materiał subst subst pl|nom|m3 0 subj _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 których który adj adj pl|gen|n|pos 0 comp _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 wykonany wykonać ppas ppas sg|nom|m3|perf|aff 0 conjunct _ _ _
+
+1 są być fin fin pl|ter|imperf 0 aux _ _ _
+
+1 przyjemne przyjemny adj adj pl|nom|m3|pos 0 adjunct _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 skóry skóra subst subst sg|gen|f 0 comp _ _ A
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 drapią drapać fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 jej on ppron3 ppron3 sg|gen|f|ter|akc|npraep 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Poza poza prep prep inst 0 pred _ _ _
+
+1 tym ten adj adj sg|inst|m3|pos 0 adjunct _ _ _
+
+1 zakładając zakładać pcon pcon imperf 0 comp _ _ _
+
+1 taki taki adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|acc|m3 0 obj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 nasz nasz adj adj sg|nom|m1|pos 0 adjunct _ _ _
+
+1 partner partner subst subst sg|nom|m1 0 subj _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 pewnością pewność subst subst sg|inst|f 0 comp _ _ _
+
+1 zainteresuje zainteresować fin fin sg|ter|perf 0 adjunct _ _ S
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 nim on ppron3 ppron3 sg|inst|n|ter|akc|praep 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 fajnie fajnie adv adv pos 0 adjunct _ _ _
+
+1 zbiera zbierać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 piersi pierś subst subst pl|acc|f 0 conjunct _ _ A
+
+1 i i conj conj _ 0 subj _ _ _
+
+1 je on ppron3 ppron3 sg|acc|n|ter|akc|npraep 0 obj _ _ _
+
+1 podnosi podnosić fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nie nie qub qub _ 0 neg _ _ _
+
+1 rozciąga rozciągać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 po po prep prep loc 0 adjunct _ _ _
+
+1 praniu prać ger ger sg|loc|n|imperf|aff 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 będzie być bedzie bedzie sg|ter|imperf 0 aux _ _ _
+
+1 służył służyć praet praet sg|m1|imperf 0 conjunct _ _ S
+
+1 przez przez prep prep acc|nwok 0 comp _ _ _
+
+1 długi długi adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 czas czas subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jak jak conj conj _ 0 adjunct _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 wygodny wygodny adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ładny ładny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 haft haft subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Subtelna subtelny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 koronka koronka subst subst sg|nom|f 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 kobieca kobiecy adj adj sg|nom|f|pos 0 conjunct _ _ _
+
+1 i i conj conj _ 0 pd _ _ _
+
+1 zmysłowa zmysłowy adj adj sg|nom|f|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 szczególnie szczególnie adv adv pos 0 adjunct _ _ _
+
+1 pod pod prep prep acc|nwok 0 comp _ _ _
+
+1 koszule koszula subst subst pl|acc|f 0 comp _ _ A
+
+1 wizytowe wizytowy adj adj pl|acc|f|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cena cena subst subst sg|nom|f 0 subj _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 wygórowana wygórowany adj adj sg|nom|f|pos 0 pd _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 produkt produkt subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 dobry dobry adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 jakościowo jakościowo adv adv pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ponadto ponadto qub qub _ 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 dosyć dosyć pred pred _ 0 pred _ _ _
+
+1 gładki gładki adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 mało mało num num pl|nom|m1|rec 0 conjunct _ _ _
+
+1 widoczny widoczny adj adj sg|acc|m3|pos 0 comp _ _ S
+
+1 pod pod prep prep inst|nwok 0 adjunct _ _ _
+
+1 bluzką bluzka subst subst sg|inst|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Posiada posiadać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 dość dość qub qub _ 0 adjunct _ _ _
+
+1 ciekawy ciekawy adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 wygląd wygląd subst subst sg|nom|m3 0 subj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Uważam uważać fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 że że conj conj _ 0 coord _ _ _
+
+1 cena cena subst subst sg|nom|f 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 adekwatna adekwatny adj adj sg|nom|f|pos 0 pd _ _ S
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 produktu produkt subst subst sg|gen|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jego on ppron3 ppron3 sg|gen|m1|ter|akc|npraep 0 adjunct _ _ _
+
+1 wygląd wygląd subst subst sg|nom|m3 0 subj _ _ A
+
+1 również również qub qub _ 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 atrakcyjny atrakcyjny adj adj sg|nom|m1|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Push pusha subst subst pl|gen|f 0 obj _ _ _
+
+1 up up qub qub _ 0 adjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 kolorze kolor subst subst sg|loc|m3 0 comp _ _ _
+
+1 zmysłowego zmysłowy adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 różu róż subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 poprawi poprawić fin fin sg|ter|perf 0 pred _ _ S
+
+1 nastrój nastrój subst subst sg|nom|m3 0 subj _ _ _
+
+1 każdej każdy adj adj sg|loc|f|pos 0 adjunct _ _ _
+
+1 kobiecie kobieta subst subst sg|dat|f 0 app _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 Konrad konrad subst subst sg|nom|m1 0 app _ _ _
+
+1 Cyganeria cyganeria subst subst sg|nom|f 0 app _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 efektowny efektowny adj adj sg|nom|m1|pos 0 pd _ _ S
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 niesamowicie niesamowicie adv adv pos 0 adjunct _ _ _
+
+1 sexowny sexowny adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jednak jednak conj conj _ 0 adjunct _ _ _
+
+1 ja ja ppron12 ppron12 sg|nom|f|pri 0 subj _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 jestem być fin fin sg|pri|imperf 0 aux _ _ _
+
+1 zadowolona zadowolić ppas ppas sg|nom|f|perf|aff 0 pred _ _ S
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 tego ten adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 stanika stanik subst subst sg|gen|m3 0 comp _ _ A
+
+1 - - interp interp _ 0 punct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 niewygodny niewygodny adj adj sg|nom|m1|pos 0 pd _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Niezwykle niezwykle adv adv pos 0 adjunct _ _ _
+
+1 ładny ładny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 zarazem zarazem qub qub _ 0 adjunct _ _ _
+
+1 seksowny seksowny adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 stanik stanik subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ponadto ponadto qub qub _ 0 adjunct _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 śliczny śliczny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 fason fason subst subst sg|nom|m3 0 subj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 wart wart subst subst sg|acc|m3 0 obj _ _ S
+
+1 tej ten adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 ceny cena subst subst sg|gen|f 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Sam sam adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 stanik stanik subst subst sg|nom|m3 0 subj _ _ A
+
+1 również również qub qub _ 0 adjunct _ _ _
+
+1 świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 prezentuje prezentować fin fin sg|ter|imperf 0 pred _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Kolor kolor subst subst sg|nom|m3 0 pred _ _ _
+
+1 purpurowego purpurowy adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 różu róż subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 modny modny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 tym ten adj adj sg|loc|m3|pos 0 adjunct _ _ _
+
+1 sezonie sezon subst subst sg|loc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 fajny fajny adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 po po prep prep loc 0 adjunct _ _ _
+
+1 prostu prosty adjp adjp _ 0 mwe _ _ _
+
+1 boski boski adj adj sg|nom|m1|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Wykonany wykonać ppas ppas sg|nom|m3|perf|aff 0 pred _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 atrakcyjnej atrakcyjny adj adj sg|loc|f|pos 0 adjunct _ _ S
+
+1 kolorystyce kolorystyka subst subst sg|loc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Produkt produkt subst subst sg|nom|m3 0 subj _ _ A
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 wygodny wygodny adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 tego to subst subst sg|gen|n 0 comp _ _ _
+
+1 trwały trwać praet praet pl|f|imperf 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 wykonany wykonać ppas ppas sg|nom|m3|perf|aff 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 pred _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 miły miły adj adj sg|nom|m1|pos 0 subj _ _ S
+
+1 w w prep prep acc|nwok 0 adjunct _ _ _
+
+1 dotyki dotyk subst subst pl|acc|m3 0 comp _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 niezwykle niezwykle adv adv pos 0 adjunct _ _ _
+
+1 miękki miękki adj adj sg|nom|m1|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 dopasowany dopasować ppas ppas sg|nom|m3|perf|aff 0 conjunct _ _ S
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 każdej każdy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 pani pani subst subst sg|gen|f 0 comp _ _ A
+
+1 czy czy conj conj _ 0 subj _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 mały mały adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 czy czy conj conj _ 0 comp _ _ _
+
+1 duży duży adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 biust biust subst subst sg|acc|m3 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Można można pred pred _ 0 pred _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 ubrać ubrać inf inf perf 0 comp_inf _ _ _
+
+1 pod pod prep prep acc|nwok 0 comp _ _ _
+
+1 cienką cienki adj adj sg|acc|f|pos 0 adjunct _ _ S
+
+1 bluzkę bluzka subst subst sg|acc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ładny ładny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 fason fason subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Sam sam adj adj sg|nom|m1|pos 0 subj _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 odpowiednio odpowiednio adv adv pos 0 adjunct _ _ _
+
+1 układa układać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 przy przy prep prep loc 0 adjunct _ _ _
+
+1 tym to subst subst sg|loc|n 0 comp _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 podrażnia podrażniać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 mojej mój adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 wrażliwej wrażliwy adj adj sg|gen|f|pos 0 adjunct _ _ S
+
+1 skóry skóra subst subst sg|gen|f 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ponadto ponadto qub qub _ 0 adjunct _ _ _
+
+1 dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 podtrzymuje podtrzymywać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 piersi pierś subst subst sg|gen|f 0 obj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 nawet nawet qub qub _ 0 adjunct _ _ _
+
+1 te ten adj adj pl|nom|f|pos 0 pd _ _ _
+
+1 duże duży adj adj pl|nom|f|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 conjunct _ _ _
+
+1 ze z prep prep gen|wok 0 conjunct _ _ _
+
+1 względu wzgląd subst subst sg|gen|m3 0 comp _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 to to subst subst sg|acc|n 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 subord _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 adjunct _ _ _
+
+1 cały cały adj adj sg|nom|m1|pos 0 adjunct _ _ _
+
+1 zakryty zakryty adj adj sg|nom|m1|pos 0 pd _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 fajny fajny adj adj sg|nom|m1|pos 0 pred _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 Pań pani subst subst pl|gen|f 0 comp _ _ A
+
+1 o o prep prep loc 0 adjunct _ _ _
+
+1 bujnym bujny adj adj sg|loc|m3|pos 0 adjunct _ _ _
+
+1 biuście biust subst subst sg|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Sama sam adj adj sg|nom|f|pos 0 pd _ _ _
+
+1 posiadam posiadać fin fin sg|pri|imperf 0 pred _ _ _
+
+1 ten ten adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 uroczy uroczy adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 biustonosz biustonosz subst subst sg|acc|m3 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 dobry dobry adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 gatunkowo gatunkowo adv adv pos 0 adjunct _ _ _
+
+1 biustonosza biustonosz subst subst sg|gen|m3 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 naprawdę naprawdę qub qub _ 0 adjunct _ _ _
+
+1 cudowny cudowny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Podobają podobać fin fin pl|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 ramiączka ramiączko subst subst pl|nom|n 0 subj _ _ _
+
+1 zdobione zdobić ppas ppas pl|nom|n|imperf|aff 0 adjunct _ _ _
+
+1 ślicznym śliczny adj adj sg|inst|m3|pos 0 adjunct _ _ S
+
+1 haftem haft subst subst sg|inst|m3 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 super super xxx xxx _ 0 pd _ _ S
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 ładny ładny adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 krój krój subst subst sg|acc|m3 0 comp _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 w w prep prep loc|nwok 0 comp _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 kobiecych kobiecy adj adj pl|loc|m3|pos 0 adjunct _ _ _
+
+1 kolorach kolor subst subst pl|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Pięknie pięknie adv adv pos 0 adjunct _ _ _
+
+1 podkreśla podkreślać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 skromniejsze skromny adj adj pl|acc|m3|comp 0 adjunct _ _ S
+
+1 kształty kształt subst subst pl|acc|m3 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 prześliczną prześliczny adj adj sg|acc|f|pos 0 adjunct _ _ S
+
+1 koronkę koronka subst subst sg|acc|f 0 comp _ _ A
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 górnej górny adj adj sg|loc|f|pos 0 adjunct _ _ _
+
+1 części część subst subst sg|loc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Doskonale doskonale adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 układa układać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 dopasowany dopasować ppas ppas sg|nom|m3|perf|aff 0 conjunct _ _ S
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 każdej każdy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 figury figura subst subst sg|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 odpinane odpinać ppas ppas pl|acc|n|imperf|aff 0 adjunct _ _ _
+
+1 ramiączka ramiączko subst subst pl|nom|n 0 subj _ _ _
+
+1 więc więc conj conj _ 0 adjunct _ _ _
+
+1 to to subst subst sg|nom|n 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 dodatkowym dodatkowy adj adj sg|inst|m3|pos 0 adjunct _ _ S
+
+1 plusem plus subst subst sg|inst|m3 0 pd _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ciekawe ciekawy adj adj pl|nom|m3|pos 0 adjunct _ _ S
+
+1 hafty haft subst subst pl|nom|m3 0 conjunct _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 kolory kolor subst subst pl|acc|m3 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 wysokie wysoki adj adj sg|nom|n|pos 0 adjunct _ _ S
+
+1 wycięcie wycięcie subst subst sg|acc|n 0 obj _ _ A
+
+1 pozwala pozwalać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 założenie założyć ger ger sg|acc|n|perf|aff 0 comp _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 wydekoltowanych wydekoltować ppas ppas pl|gen|f|perf|aff 0 adjunct _ _ _
+
+1 bluzeczek bluzeczka subst subst pl|gen|f 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Niepowtarzalny niepowtarzalny adj adj sg|nom|m1|pos 0 adjunct _ _ S
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 zmysłowy zmysłowy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 kuszący kusić pact pact sg|acc|m3|imperf|aff 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ładny ładny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 wygląd wygląd subst subst sg|nom|m3 0 subj _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 solidnie solidnie adv adv pos 0 adjunct _ _ _
+
+1 wykonany wykonać ppas ppas sg|nom|m3|perf|aff 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Taki taki adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 pozoru pozór subst subst sg|gen|m3 0 comp _ _ _
+
+1 tragicznie tragicznie adv adv pos 0 adjunct _ _ _
+
+1 wyglądający wyglądać pact pact sg|acc|m3|imperf|aff 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 praktyczny praktyczny adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ten ten adj adj sg|nom|m1|pos 0 subj _ _ _
+
+1 należy należeć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 zakładać zakładać inf inf imperf 0 conjunct _ _ _
+
+1 gdy gdy conj conj _ 0 obj _ _ _
+
+1 mam mieć fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 spory spory adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 dekolt dekolt subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ładnie ładnie adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 prezentuje prezentować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 praktyczny praktyczny adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 małych mały adj adj pl|gen|f|pos 0 adjunct _ _ _
+
+1 piersi pierś subst subst pl|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Uważam uważać fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 pre_coord _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 on on ppron3 ppron3 sg|nom|m1|ter|akc|praep 0 subj _ _ _
+
+1 godnym godny adj adj sg|inst|m3|pos 0 adjunct _ _ S
+
+1 polecenia polecić ger ger sg|gen|n|perf|aff 0 pd _ _ _
+
+1 produktem produkt subst subst sg|inst|m3 0 adjunct _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 jego on ppron3 ppron3 sg|gen|m1|ter|akc|npraep 0 adjunct _ _ _
+
+1 cena cena subst subst sg|nom|f 0 subj _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 wygórowana wygórowany adj adj sg|nom|f|pos 0 pd _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 osobiście osobiście adv adv pos 0 adjunct _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 gustu gust subst subst sg|gen|m3 0 comp _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 przypadł przypaść praet praet sg|m1|perf 0 pred _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 dziwny dziwny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 kształt kształt subst subst sg|nom|m3 0 subj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 choć choć conj conj _ 0 adjunct _ _ _
+
+1 wiem wiedzieć fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 adjunct _ _ _
+
+1 takie taki adj adj pl|nom|f|pos 0 pd _ _ _
+
+1 są być fin fin pl|ter|imperf 0 comp_fin _ _ _
+
+1 teraz teraz qub qub _ 0 adjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 modzie moda subst subst sg|loc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ładny ładny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 kobiecy kobiecy adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Te ten adj adj pl|nom|f|pos 0 adjunct _ _ _
+
+1 wycięcie wycięcie subst subst sg|nom|n 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 po po prep prep loc 0 adjunct _ _ _
+
+1 prostu prosty adjp adjp _ 0 mwe _ _ _
+
+1 tragiczne tragiczny adj adj sg|nom|n|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 aux _ _ _
+
+1 tez teza subst subst pl|gen|f 0 adjunct _ _ _
+
+1 odpinane odpinać ppas ppas pl|acc|n|imperf|aff 0 adjunct _ _ _
+
+1 ramiączka ramiączko subst subst pl|acc|n 0 adjunct _ _ _
+
+1 co co subst subst sg|acc|n 0 obj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 wygodne wygodny adj adj sg|nom|n|pos 0 pd _ _ S
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 gorsetów gorset subst subst pl|gen|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 serdecznie serdecznie adv adv pos 0 comp _ _ _
+
+1 pod pod prep prep acc|nwok 0 adjunct _ _ _
+
+1 kreacje kreacja subst subst pl|acc|f 0 comp _ _ A
+
+1 wieczorowe wieczorowy adj adj pl|acc|f|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 faktycznie faktycznie adv adv pos 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 przydatny przydatny adj adj sg|nom|m1|pos 0 pd _ _ S
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 kreacjii kreacjii subst subst sg|gen|n 0 comp _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 tzw tzwa subst subst pl|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Gładki gładki adj adj sg|nom|m1|pos 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 przyjemny przyjemny adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 dotyku dotyk subst subst sg|loc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealnie idealnie adv adv pos 0 adjunct _ _ _
+
+1 unosi unosić fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 biust biust subst subst sg|nom|m3 0 subj _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 nadaje nadawać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 mu on ppron3 ppron3 sg|dat|m1|ter|nakc|npraep 0 obj_th _ _ _
+
+1 odpowiedni odpowiedni adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 kształt kształt subst subst sg|acc|m3 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nie nie qub qub _ 0 neg _ _ _
+
+1 wyróżnia wyróżniać fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 pod pod prep prep inst|nwok 0 comp _ _ _
+
+1 sukienką sukienka subst subst sg|inst|f 0 comp _ _ A
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 wydaje wydawać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 adjunct _ _ _
+
+1 go on ppron3 ppron3 sg|gen|m1|ter|nakc|npraep 0 comp _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Poza poza prep prep inst 0 adjunct _ _ _
+
+1 tym to subst subst sg|inst|n 0 comp _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 był być praet praet sg|m1|imperf 0 conjunct _ _ _
+
+1 drogi drogi adj adj sg|nom|m1|pos 0 pd _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 jakość jakość subst subst sg|nom|f 0 subj _ _ S
+
+1 wykonania wykonać ger ger sg|gen|n|perf|aff 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 odbiega odbiegać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 od od prep prep gen|nwok 0 comp _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 drogiej drogi adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 bielizny bielizna subst subst sg|gen|f 0 comp _ _ A
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 doskonały doskonały adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 prezent prezent subst subst sg|nom|m3 0 subj _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 ma mieć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 uniwersalny uniwersalny adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 design design subst subst sg|acc|m3 0 comp _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 pomimo pomimo prep prep gen 0 adjunct _ _ _
+
+1 skromności skromność subst subst sg|gen|f 0 comp _ _ _
+
+1 elegancko elegancko adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 prezentuje prezentować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 kształtuje kształtować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 biust biust subst subst sg|nom|m3 0 subj _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 adjunct _ _ A
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 unosi unosić fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 wspaniale wspaniale adv adv pos 0 adjunct _ _ _
+
+1 podkreśla podkreślać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 nadaje nadawać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 pod pod prep prep acc|nwok 0 comp _ _ _
+
+1 koszulę koszula subst subst sg|acc|f 0 comp _ _ A
+
+1 nocną nocny adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 ładnie ładnie adv adv pos 0 adjunct _ _ _
+
+1 wygląda wyglądać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 podnosi podnosić fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 biust biust subst subst sg|acc|m3 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 przylega przylegać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 ciała ciało subst subst sg|gen|n 0 comp _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 formuje formować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 biust biust subst subst sg|nom|m3 0 subj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Odpada odpadać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 przy przy prep prep loc 0 adjunct _ _ _
+
+1 dużych duży adj adj pl|loc|f|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 ciężkich ciężki adj adj pl|loc|f|pos 0 conjunct _ _ S
+
+1 piersiach pierś subst subst pl|loc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Tymczasem tymczasem qub qub _ 0 adjunct _ _ _
+
+1 polska polski adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 firemka firemka subst subst sg|nom|f 0 subj _ _ _
+
+1 robi robić fin fin sg|ter|imperf 0 pred _ _ _
+
+1 coś coś subst subst sg|acc|n 0 obj _ _ _
+
+1 seksownego seksowny adj adj sg|gen|n|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 o o prep prep loc 0 comp _ _ _
+
+1 znakomitym znakomity adj adj sg|loc|m3|pos 0 adjunct _ _ S
+
+1 dizajnie dizajn subst subst sg|loc|m3 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 stylu styl subst subst sg|loc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zrobiony zrobić ppas ppas sg|nom|m3|perf|aff 0 pred _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 miękkiego miękki adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 materiału materiał subst subst sg|gen|m3 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 który który adj adj sg|nom|m3|pos 0 subj _ _ _
+
+1 świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 dopasowuje dopasowywać fin fin sg|ter|imperf 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 figury figura subst subst sg|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Stanik stanik subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 drogi drogi adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 i i conj conj _ 0 pd _ _ _
+
+1 trudno trudno adv adv pos 0 adjunct _ _ _
+
+1 dostępny dostępny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 spisuje spisywać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 przy przy prep prep loc 0 adjunct _ _ _
+
+1 większym wielki adj adj sg|loc|m3|comp 0 adjunct _ _ _
+
+1 dekolcie dekolt subst subst sg|loc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cena cena subst subst sg|nom|f 0 pred _ _ _
+
+1 adekwatna adekwatny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 stanika stanik subst subst sg|gen|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nie nie qub qub _ 0 neg _ _ _
+
+1 wiem wiedzieć fin fin sg|pri|imperf 0 pred _ _ _
+
+1 jak jak conj conj _ 0 comp _ _ _
+
+1 wy wy ppron12 ppron12 pl|nom|f|sec 0 conjunct _ _ _
+
+1 ale ale conj conj _ 0 obj _ _ _
+
+1 ja ja ppron12 ppron12 sg|nom|f|pri 0 subj _ _ _
+
+1 marzę marzyć fin fin sg|pri|imperf 0 conjunct _ _ S
+
+1 aby aby conj conj _ 0 conjunct _ _ _
+
+1 mieć mieć inf inf imperf 0 conjunct _ _ _
+
+1 taki taki adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 stanik stanik subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Możliwa możliwy adj adj sg|nom|f|pos 0 pd _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 opcja opcja subst subst sg|nom|f 0 subj _ _ _
+
+1 wyboru wybór subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 ulubionego ulubiony adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 koloru kolor subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 także także qub qub _ 0 adjunct _ _ _
+
+1 pełna pełny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 gama gama subst subst sg|nom|f 0 conjunct _ _ _
+
+1 rozmiarów rozmiar subst subst pl|gen|m3 0 adjunct _ _ _
+
+1 tego ten adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 produktu produkt subst subst sg|gen|m3 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 dopasowuje dopasowywać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 każdej każdy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 sylwetki sylwetka subst subst sg|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 sprawdza sprawdzać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 przy przy prep prep loc 0 adjunct _ _ _
+
+1 wieczorowych wieczorowy adj adj pl|loc|f|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 wydekoltowanych wydekoltować ppas ppas pl|loc|f|perf|aff 0 conjunct _ _ _
+
+1 sukienkach sukienka subst subst pl|loc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Doskonały doskonały adj adj sg|nom|m1|pos 0 pred _ _ S
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 noszenia noszenie subst subst sg|gen|n 0 comp _ _ _
+
+1 każdego każdy adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 dnia dzień subst subst sg|gen|m3 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 O o prep prep acc 0 comp _ _ _
+
+1 wiele wiele num num pl|acc|m3|rec 0 comp _ _ _
+
+1 lepiej dobrze adv adv comp 0 adjunct _ _ S
+
+1 komponuje komponować fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 wtedy wtedy qub qub _ 0 adjunct _ _ _
+
+1 ze z prep prep inst|wok 0 adjunct _ _ _
+
+1 skórą skóra subst subst sg|inst|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealnie idealnie adv adv pos 0 adjunct _ _ _
+
+1 podtrzymuje podtrzymywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 kształtuje kształtować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 biust biust subst subst sg|acc|m3 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 ciekawy ciekawy adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 fason fason subst subst sg|nom|m3 0 subj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Stanik stanik subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 uroczy uroczy adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 pd _ _ _
+
+1 seksowny seksowny adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nie nie qub qub _ 0 neg _ _ _
+
+1 zawiodła zawieść praet praet sg|f|perf 0 conjunct _ _ S
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 jego on ppron3 ppron3 sg|gen|m1|ter|akc|npraep 0 adjunct _ _ _
+
+1 zakupie zakup subst subst sg|loc|m3 0 comp _ _ _
+
+1 podobnie podobnie adv adv pos 0 adjunct _ _ _
+
+1 jak jak conj conj _ 0 coord _ _ _
+
+1 na na prep prep loc 0 conjunct _ _ _
+
+1 innej inny adj adj sg|loc|f|pos 0 adjunct _ _ _
+
+1 bieliźnie bielizna subst subst sg|loc|f 0 comp _ _ A
+
+1 firmy firma subst subst sg|gen|f 0 adjunct _ _ _
+
+1 Triumph triumpha subst subst pl|gen|f 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Piersi pierś subst subst pl|nom|f 0 subj _ _ A
+
+1 stają stawać fin fin pl|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 w w prep prep acc|nwok 0 comp _ _ _
+
+1 nim on ppron3 ppron3 pl|dat|f|ter|akc|praep 0 comp _ _ _
+
+1 większe wielki adj adj pl|nom|f|comp 0 conjunct _ _ _
+
+1 i i conj conj _ 0 obj _ _ _
+
+1 pełniejsze pełny adj adj pl|acc|m3|comp 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Reszta reszta subst subst sg|nom|f 0 subj _ _ _
+
+1 miseczki miseczka subst subst sg|gen|f 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 gładka gładki adj adj sg|nom|f|pos 0 pd _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 więc więc conj conj _ 0 coord _ _ _
+
+1 będzie być bedzie bedzie sg|ter|imperf 0 aux _ _ _
+
+1 dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 wyglądać wyglądać inf inf imperf 0 conjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 obcisłej obcisły adj adj sg|loc|f|pos 0 adjunct _ _ _
+
+1 bluzce bluzka subst subst sg|loc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nakładki nakładka subst subst pl|nom|f 0 subj _ _ A
+
+1 są być fin fin pl|ter|imperf 0 pred _ _ _
+
+1 lekkie lekki adj adj pl|nom|f|pos 0 conjunct _ _ _
+
+1 oraz oraz conj conj _ 0 pd _ _ _
+
+1 wygodne wygodny adj adj pl|nom|n|pos 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 dopasowuje dopasowywać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 kształtu kształt subst subst sg|gen|m3 0 comp _ _ A
+
+1 biustu biust subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Stanik stanik subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 godny godny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 polecenia polecić ger ger sg|gen|n|perf|aff 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 dolega dolegać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 figury figura subst subst sg|gen|f 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 miseczki miseczka subst subst pl|nom|f 0 subj _ _ _
+
+1 idealnie idealnie adv adv pos 0 adjunct _ _ _
+
+1 modelują modelować fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 biust biust subst subst sg|acc|m3 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Piersi pierś subst subst pl|nom|f 0 subj _ _ A
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 nim on ppron3 ppron3 sg|loc|m1|ter|akc|praep 0 comp _ _ _
+
+1 są być fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 okrągłe okrągły adj adj pl|nom|f|pos 0 pd _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 delikatnie delikatnie adv adv pos 0 adjunct _ _ _
+
+1 podkreślone podkreślić ppas ppas pl|acc|f|perf|aff 0 conjunct _ _ _
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 pełne pełny adj adj pl|nom|f|pos 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Stanik stanik subst subst sg|nom|m3 0 subj _ _ A
+
+1 źle źle adv adv pos 0 adjunct _ _ _
+
+1 układa układać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 trzyma trzymać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 biustu biust subst subst sg|gen|m3 0 obj _ _ _
+
+1 oraz oraz conj conj _ 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 szybko szybko adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 niszczy niszczyć fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Niedawno niedawno adv adv pos 0 adjunct _ _ _
+
+1 zakupiła zakupić praet praet sg|f|perf 0 conjunct _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 ten ten adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 stanik stanik subst subst sg|acc|m3 0 obj _ _ A
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 allegro allegro subst subst sg|acc|n 0 comp _ _ _
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 przykrością przykrość subst subst sg|inst|f 0 comp _ _ _
+
+1 muszę musieć fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 stwierdzić stwierdzić inf inf perf 0 comp_inf _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 coord _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 spełnił spełnić praet praet sg|m1|perf 0 conjunct _ _ S
+
+1 moich mój adj adj pl|gen|n|pos 0 adjunct _ _ _
+
+1 oczekiwań oczekiwanie subst subst pl|gen|n 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 a a conj conj _ 0 pre_coord _ _ _
+
+1 tzw tzwa subst subst pl|gen|f 0 comp _ _ _
+
+1 efekt efekt subst subst sg|nom|m3 0 adjunct _ _ _
+
+1 push pusha subst subst pl|gen|f 0 adjunct _ _ _
+
+1 up up qub qub _ 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 występuje występować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 bo bo conj conj _ 0 coord _ _ _
+
+1 zamiast zamiast prep prep gen 0 conjunct _ _ _
+
+1 podnosić podnosić inf inf imperf 0 comp _ _ S
+
+1 tylko tylko conj conj _ 0 conjunct _ _ _
+
+1 ściąga ściągać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 piersi pierś subst subst sg|gen|f 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Piersi pierś subst subst pl|nom|f 0 subj _ _ A
+
+1 wyglądają wyglądać fin fin pl|ter|imperf 0 pred _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 pełne pełny adj adj pl|acc|f|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 jędrne jędrny adj adj pl|acc|m3|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 dość dość qub qub _ 0 adjunct _ _ _
+
+1 drogi drogi adj adj sg|nom|m3|pos 0 pd _ _ _
+
+1 ale ale conj conj _ 0 coord _ _ _
+
+1 naprawdę naprawdę qub qub _ 0 conjunct _ _ _
+
+1 warty wart subst subst pl|acc|m3 0 obj _ _ S
+
+1 kupienia kupić ger ger sg|gen|n|imperf|aff 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Sadze saga subst subst sg|dat|f 0 obj_th _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ze z prep prep gen|wok 0 adjunct _ _ _
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 comp _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ładny ładny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 pd _ _ _
+
+1 wyjtakowy wyjtakowy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 dokładnie dokładnie adv adv pos 0 adjunct _ _ _
+
+1 wykończony wykończony adj adj sg|nom|m1|pos 0 pd _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 każdym każdy adj adj sg|loc|m3|pos 0 adjunct _ _ _
+
+1 szczególe szczegół subst subst sg|loc|m3 0 comp _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 doskonały doskonały adj adj sg|nom|m1|pos 0 pd _ _ S
+
+1 jakościowo jakościowo adv adv pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 naprawdę naprawdę qub qub _ 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 śliczny śliczny adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 pd _ _ _
+
+1 seksowny seksowny adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Układa układać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 dobrze dobrze adv adv pos 0 comp _ _ S
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 zbiera zbierać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 piersi pierś subst subst sg|gen|f 0 obj _ _ A
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 środka środek subst subst sg|gen|m3 0 comp _ _ _
+
+1 delikatnie delikatnie adv adv pos 0 adjunct _ _ _
+
+1 je on ppron3 ppron3 sg|acc|n|ter|akc|npraep 0 obj _ _ _
+
+1 powiększając powiększać pcon pcon imperf 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Piersi pierś subst subst pl|nom|f 0 subj _ _ A
+
+1 wyglądają wyglądać fin fin pl|ter|imperf 0 pred _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 nim on ppron3 ppron3 sg|loc|m3|ter|akc|praep 0 comp _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 większe wielki adj adj pl|acc|f|comp 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 podniesione podnieść ppas ppas pl|acc|m3|perf|aff 0 conjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 unosi unosić fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 eksponuje eksponować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 piersi pierś subst subst sg|gen|f 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealnie idealnie adv adv pos 0 adjunct _ _ _
+
+1 dopasowuję dopasowywać fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 piersi pierś subst subst sg|gen|f 0 comp _ _ A
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 podnosi podnosić fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 uwydatnia uwydatniać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 je on ppron3 ppron3 pl|acc|m3|ter|akc|npraep 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Poza poza prep prep inst 0 adjunct _ _ _
+
+1 tym to subst subst sg|inst|n 0 comp _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 leży leżeć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 podkreśla podkreślać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 piersi pierś subst subst sg|gen|f 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ale ale conj conj _ 0 adjunct _ _ _
+
+1 wracając wracać pcon pcon imperf 0 adjunct _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 samego sam adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 biustonosza biustonosz subst subst sg|gen|m3 0 comp _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 uroczy uroczy adj adj pl|nom|m1|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 Konrad konrad subst subst sg|nom|m1 0 app _ _ _
+
+1 NAOMI naom subst subst pl|nom|m1 0 app _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 niby niby prep prep nom 0 comp _ _ _
+
+1 ładny ładny adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 comp _ _ _
+
+1 żle żeł subst subst sg|voc|m2 0 conjunct _ _ _
+
+1 zszyty zszyć ppas ppas sg|nom|m1|perf|aff 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Haft haft subst subst sg|nom|m3 0 pred _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 którym który adj adj sg|inst|m3|pos 0 pd _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 adjunct _ _ _
+
+1 wyszyty wyszyć ppas ppas sg|nom|m3|perf|aff 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 przepiękny przepiękny adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 na na prep prep acc 0 conjunct _ _ _
+
+1 pewno pewno adv adv pos 0 mwe _ _ _
+
+1 jak jak conj conj _ 0 conjunct _ _ _
+
+1 zobaczyła zobaczyć praet praet sg|f|perf 0 adjunct _ _ _
+
+1 by by qub qub _ 0 cond _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 sklepie sklep subst subst sg|loc|m3 0 comp _ _ _
+
+1 kupiła kupić praet praet sg|f|imperf 0 conjunct _ _ _
+
+1 by by qub qub _ 0 cond _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 sobie się siebie siebie dat 0 obj_th _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Pomimo pomimo prep prep gen 0 pred _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 adjunct _ _ _
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 skromnie skromnie adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 prezentuje prezentować fin fin sg|ter|imperf 0 comp _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 godny godny adj adj sg|nom|m1|pos 0 adjunct _ _ S
+
+1 uwagi uwaga subst subst sg|gen|f 0 conjunct _ _ _
+
+1 i i conj conj _ 0 subj _ _ _
+
+1 polecenia polecenie subst subst pl|acc|n 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Wykonany wykonać ppas ppas sg|nom|m3|perf|aff 0 adjunct _ _ _
+
+1 z z prep prep gen|nwok 0 comp _ _ _
+
+1 miękkiego miękki adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 materiału materiał subst subst sg|gen|m3 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 leży leżeć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 układa układać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 piersi pierś subst subst sg|gen|f 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Kolejny kolejny adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 pred _ _ A
+
+1 firmy firma subst subst sg|gen|f 0 adjunct _ _ _
+
+1 Triumph triumpha subst subst pl|gen|f 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 który który adj adj sg|nom|m3|pos 0 subj _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 zawiódł zawieść praet praet sg|m1|perf|nagl 0 conjunct _ _ S
+
+1 mnie ja ppron12 ppron12 sg|acc|f|pri|akc 0 obj _ _ _
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 moich mój adj adj pl|gen|n|pos 0 adjunct _ _ _
+
+1 oczekiwań oczekiwanie subst subst pl|gen|n 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Stanik stanik subst subst sg|nom|m3 0 subj _ _ A
+
+1 raczej raczej qub qub _ 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 wyeksponuje wyeksponować fin fin sg|ter|perf 0 conjunct _ _ _
+
+1 biustu biust subst subst sg|gen|m3 0 obj _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 ukryje ukryć fin fin sg|ter|perf 0 conjunct _ _ S
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 odpowiednio odpowiednio adv adv pos 0 adjunct _ _ _
+
+1 podtrzyma podtrzymać fin fin sg|ter|perf 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 Carmen carmen subst subst sg|nom|f 0 app _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ładnie ładnie adv adv pos 0 adjunct _ _ _
+
+1 leży leżeć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 wygodny wygodny adj adj sg|nom|m1|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 poza poza prep prep inst 0 adjunct _ _ _
+
+1 tym to subst subst sg|inst|n 0 comp _ _ _
+
+1 fajnie fajnie adv adv pos 0 adjunct _ _ _
+
+1 utrzymuje utrzymywać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 biust biust subst subst sg|nom|m3 0 conjunct _ _ _
+
+1 i i conj conj _ 0 obj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 wygodny wygodny adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 modeluje modelować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 podtrzymuje podtrzymywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 piersi pierś subst subst sg|gen|f 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 leży leżeć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 dopasowuje dopasowywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 ciała ciało subst subst sg|gen|n 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 leży leżeć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 dopasowuje dopasowywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 figury figura subst subst sg|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 leży leżeć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 dopasowuje dopasowywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 ciała ciało subst subst sg|gen|n 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Krój krój subst subst sg|nom|m3 0 subj _ _ A
+
+1 idealnie idealnie adv adv pos 0 adjunct _ _ _
+
+1 trzyma trzymać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 biust biust subst subst sg|nom|m3 0 pd _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 przy przy prep prep loc 0 adjunct _ _ _
+
+1 tym to subst subst sg|loc|n 0 comp _ _ _
+
+1 niezwykle niezwykle adv adv pos 0 adjunct _ _ _
+
+1 wygodny wygodny adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 pd _ _ _
+
+1 wytrzymały wytrzymały adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 leży leżeć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 dopasowuje dopasowywać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 figury figura subst subst sg|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Wyeksponowany wyeksponować ppas ppas sg|nom|m3|perf|aff 0 adjunct _ _ _
+
+1 biust biust subst subst sg|nom|m3 0 subj _ _ _
+
+1 kusząco kusząco adv adv pos 0 adjunct _ _ _
+
+1 prześwituje prześwitywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 przez przez prep prep acc|nwok 0 comp _ _ _
+
+1 śliczne śliczny adj adj sg|acc|n|pos 0 comp _ _ S
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 dosyć dosyć pred pred _ 0 conjunct _ _ _
+
+1 duże duży adj adj pl|nom|f|pos 0 adjunct _ _ _
+
+1 koronki koronka subst subst pl|nom|f 0 subj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 trzyma trzymać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 biust biust subst subst sg|nom|m3 0 subj _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 przylega przylegać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 ciała ciało subst subst sg|gen|n 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Założony założyć ppas ppas sg|nom|m3|perf|aff 0 subj _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 modeluje modelować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 układa układać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 piersi pierś subst subst sg|gen|f 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 układa układać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 przylega przylegać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 ciała ciało subst subst sg|gen|n 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 leży leżeć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 dopasowuje dopasowywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 ciała ciało subst subst sg|gen|n 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Stanik stanik subst subst sg|nom|m3 0 subj _ _ A
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 dość dość qub qub _ 0 adjunct _ _ _
+
+1 solidnie solidnie adv adv pos 0 adjunct _ _ _
+
+1 wykonany wykonać ppas ppas sg|nom|m3|perf|aff 0 pd _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 trwały trwały adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 pd _ _ _
+
+1 wytrzymały wytrzymały adj adj sg|nom|m1|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Może może qub qub _ 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 to to pred pred _ 0 conjunct _ _ _
+
+1 najseksowniejszy seksowny adj adj sg|nom|m3|sup 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 raczej raczej qub qub _ 0 adjunct _ _ _
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 noszenia noszenie subst subst sg|gen|n 0 comp _ _ _
+
+1 pod pod prep prep inst|nwok 0 adjunct _ _ _
+
+1 ubraniem ubrać ger ger sg|inst|n|perf|aff 0 conjunct _ _ _
+
+1 niż niż conj conj _ 0 comp _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 pokaz pokaz subst subst sg|acc|m3 0 conjunct _ _ _
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 jednak jednak conj conj _ 0 comp _ _ _
+
+1 szalenie szaleć ger ger sg|nom|n|imperf|aff 0 conjunct _ _ _
+
+1 praktyczny praktyczny adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Śliczny śliczny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 choć choć conj conj _ 0 coord _ _ _
+
+1 jak jak conj conj _ 0 coord _ _ _
+
+1 dla dla prep prep gen 0 conjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|m1|pri|akc 0 comp _ _ _
+
+1 t t ign ign _ 0 adjunct _ _ _
+
+1 trochę trochę subst subst sg|acc|n 0 obj _ _ _
+
+1 za za prep prep acc 0 adjunct _ _ _
+
+1 drogi drogi adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Buteleczka buteleczka subst subst sg|nom|f 0 subj _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 ładny ładny adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 wygląd wygląd subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|m1 0 subj _ _ _
+
+1 są być fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 kobiece kobiecy adj adj pl|nom|f|pos 0 pd _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 naprawdę naprawdę qub qub _ 0 adjunct _ _ _
+
+1 godne godny adj adj pl|nom|f|pos 0 adjunct _ _ S
+
+1 uwagi uwaga subst subst pl|nom|f 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 : : interp interp _ 0 punct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 flakonik flakonik subst subst sg|nom|m3 0 subj _ _ _
+
+1 przeuroczo przeuroczo adv adv pos 0 adjunct _ _ _
+
+1 wygląda wyglądać fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 ( ( interp interp _ 0 punct _ _ _
+
+1 można można pred pred _ 0 comp_fin _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 conjunct _ _ _
+
+1 używać używać inf inf imperf 0 complm _ _ _
+
+1 jako jako conj conj _ 0 adjunct _ _ _
+
+1 ozdobę-żart ozdobę-żart subst subst sg|nom|m3 0 conjunct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 cena cena subst subst sg|nom|f 0 conjunct _ _ A
+
+1 spora spory adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 ale ale conj conj _ 0 subj _ _ _
+
+1 na na prep prep acc 0 conjunct _ _ _
+
+1 Allegro allegro subst subst sg|acc|n 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jedne jeden adj adj pl|nom|f|pos 0 adjunct _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 najlepszych dobry adj adj pl|gen|n|sup 0 adjunct _ _ S
+
+1 perfum perfumy subst subst pl|gen|n 0 comp _ _ A
+
+1 jakie jaki adj adj pl|nom|m3|pos 0 adjunct _ _ _
+
+1 miała mieć praet praet sg|f|imperf 0 pred _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Najlepsza dobry adj adj sg|nom|f|sup 0 adjunct _ _ S
+
+1 perfuma perfuma subst subst sg|nom|f 0 pred _ _ A
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 świecie świat subst subst sg|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cena cena subst subst sg|nom|f 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 duża duży adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 coord _ _ _
+
+1 jednak jednak conj conj _ 0 mwe _ _ _
+
+1 są być fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 to to subst subst sg|acc|n 0 obj _ _ _
+
+1 markowe markowy adj adj sg|nom|n|pos 0 adjunct _ _ S
+
+1 perfumy perfumy subst subst pl|acc|n 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nie nie qub qub _ 0 neg _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 co co subst subst sg|nom|n 0 subj _ _ _
+
+1 więcej więcej num num pl|nom|m1|rec 0 app _ _ _
+
+1 pisać pisać inf inf imperf 0 conjunct _ _ _
+
+1 o o prep prep loc 0 comp _ _ _
+
+1 tym to subst subst sg|loc|n 0 comp _ _ _
+
+1 bo bo conj conj _ 0 comp _ _ _
+
+1 myślę myśleć fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 że że conj conj _ 0 conjunct _ _ _
+
+1 to to pred pred _ 0 conjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 produkt produkt subst subst sg|nom|m3 0 subj _ _ A
+
+1 warty warta subst subst sg|gen|f 0 adjunct _ _ _
+
+1 zakupu zakup subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 już już qub qub _ 0 adjunct _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 kupie kupa subst subst sg|loc|f 0 app _ _ S
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 To to pred pred _ 0 pred _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 dobry dobry adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 pomysł pomysł subst subst sg|nom|m3 0 subj _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 prezent prezent subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 To to pred pred _ 0 pred _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 dobry dobry adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 pomysł pomysł subst subst sg|nom|m3 0 subj _ _ A
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 prezent prezent subst subst sg|acc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfum perfumy subst subst pl|gen|n 0 obj _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ładnie ładnie adv adv pos 0 adjunct _ _ _
+
+1 pachnie pachnąć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 atomizer atomizer subst subst sg|nom|m3 0 subj _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 rozpyla rozpylać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 obj _ _ A
+
+1 , , interp interp _ 0 conjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 za za prep prep acc 0 comp _ _ _
+
+1 dużo dużo num num pl|acc|m1|rec 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfum perfumy subst subst pl|gen|n 0 obj _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ładnie ładnie adv adv pos 0 adjunct _ _ _
+
+1 pachnie pachnąć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 atomizer atomizer subst subst sg|nom|m3 0 subj _ _ A
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 rozpyla rozpylać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 obj _ _ _
+
+1 , , interp interp _ 0 conjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 za za prep prep acc 0 comp _ _ _
+
+1 dużo dużo num num pl|acc|m1|rec 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mają mieć fin fin pl|ter|imperf 0 pred _ _ _
+
+1 również również qub qub _ 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ładny ładny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 subj _ _ _
+
+1 ergonomiczny ergonomiczny adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 kształt kształt subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 flakoniku flakonik subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|n 0 subj _ _ A
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 fajne fajny adj adj sg|nom|n|pos 0 adjunct _ _ S
+
+1 miała mieć praet praet sg|f|imperf 0 pred _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 je on ppron3 ppron3 sg|acc|n|ter|akc|npraep 0 comp _ _ _
+
+1 parę parę num num pl|acc|m3|rec 0 adjunct _ _ _
+
+1 razy raz subst subst pl|acc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Wielka wielki adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 Marka marka subst subst sg|nom|f 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 gigantyczna gigantyczny adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 cena cena subst subst sg|nom|f 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 świetne świetny adj adj pl|nom|f|pos 0 adjunct _ _ S
+
+1 ceny cena subst subst pl|nom|f 0 conjunct _ _ A
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 pachnie pachnąć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 jak jak conj conj _ 0 conjunct _ _ _
+
+1 mydło mydło subst subst sg|nom|n 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Moje mój adj adj sg|nom|n|pos 0 adjunct _ _ _
+
+1 pierwsze pierwszy adj adj sg|nom|n|pos 0 adjunct _ _ _
+
+1 lepsze dobry adj adj sg|nom|n|comp 0 adjunct _ _ S
+
+1 perfumy perfumy subst subst pl|nom|n 0 subj _ _ A
+
+1 które który adj adj pl|nom|n|pos 0 adjunct _ _ _
+
+1 dostała dostać praet praet sg|f|perf 0 pred _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 prezencie prezenta subst subst sg|loc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Lacosta lacosta subst subst sg|nom|m1 0 pred _ _ _
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 żółta żółty adj adj sg|nom|f|pos 0 conjunct _ _ _
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 to to qub qub _ 0 adjunct _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 zawsze zawsze qub qub _ 0 mwe _ _ _
+
+1 będą być bedzie bedzie pl|ter|imperf 0 comp_fin _ _ _
+
+1 moje mój adj adj sg|acc|n|pos 0 adjunct _ _ _
+
+1 ukochane ukochany adj adj pl|nom|n|pos 0 adjunct _ _ S
+
+1 perfumy perfumy subst subst pl|nom|n 0 subj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 pred _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ _
+
+1 młodych młody adj adj pl|gen|f|pos 0 adjunct _ _ S
+
+1 duchem duch subst subst sg|inst|m2 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealny idealny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 prezent prezent subst subst sg|nom|m3 0 pred _ _ A
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 każdej każdy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Może może qub qub _ 0 adjunct _ _ _
+
+1 cena cena subst subst sg|nom|f 0 subj _ _ A
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 niska niski adj adj sg|nom|f|pos 0 pd _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 coord _ _ _
+
+1 warta warta subst subst sg|nom|f 0 conjunct _ _ _
+
+1 całego cały adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 zachodu zachód subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 nadaje nadawać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 wypad wypad subst subst sg|acc|m3 0 comp _ _ A
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 kina kino subst subst sg|gen|n 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 dyskotekę dyskoteka subst subst sg|acc|f 0 conjunct _ _ _
+
+1 czy czy conj conj _ 0 comp _ _ _
+
+1 wieczór wieczór subst subst sg|nom|m3 0 conjunct _ _ _
+
+1 ze z prep prep inst|wok 0 adjunct _ _ _
+
+1 znajomymi znajomy adj adj pl|inst|f|pos 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 troszkę troszkę qub qub _ 0 adjunct _ _ _
+
+1 zaskoczona zaskoczyć ppas ppas sg|nom|f|perf|aff 0 pred _ _ _
+
+1 jestem być fin fin sg|pri|imperf 0 aux _ _ _
+
+1 tak tak qub qub _ 0 adjunct _ _ _
+
+1 pozytywnymi pozytywny adj adj pl|inst|f|pos 0 adjunct _ _ S
+
+1 opiniami opinia subst subst pl|inst|f 0 adjunct _ _ A
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 temat temat subst subst sg|acc|m3 0 comp _ _ _
+
+1 tej ten adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 wody woda subst subst sg|gen|f 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cena cena subst subst sg|nom|f 0 subj _ _ A
+
+1 może móc fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 pd _ _ _
+
+1 wysoka wysoki adj adj sg|nom|f|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 coord _ _ _
+
+1 myślę myśleć fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 subord _ _ _
+
+1 woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 ta ten adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 jej on ppron3 ppron3 sg|gen|f|ter|akc|npraep 0 adjunct _ _ _
+
+1 warta warta subst subst sg|nom|f 0 pd _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jeśli jeśli conj conj _ 0 adjunct _ _ _
+
+1 ktoś ktoś subst subst sg|nom|m1 0 subj _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 w w prep prep loc|nwok 0 comp _ _ _
+
+1 zanadrzu zanadrze subst subst sg|loc|n 0 comp _ _ _
+
+1 gotówki gotówka subst subst sg|gen|f 0 adjunct _ _ _
+
+1 polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 prezent prezent subst subst sg|acc|m3 0 comp _ _ A
+
+1 Ciekawy ciekawy adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 kształt kształt subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 i i conj conj _ 0 subj _ _ _
+
+1 kolor kolor subst subst sg|nom|m3 0 conjunct _ _ _
+
+1 flakony flakon subst subst pl|nom|m3 0 app _ _ _
+
+1 zdecydowanie zdecydowanie adv adv pos 0 adjunct _ _ _
+
+1 przyciąga przyciągać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 uwagę uwaga subst subst sg|acc|f 0 obj _ _ _
+
+1 kupującego kupujący adj adj sg|gen|m1|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ciekawy ciekawy adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 kształt kształt subst subst sg|nom|m3 0 conjunct _ _ _
+
+1 i i conj conj _ 0 subj _ _ _
+
+1 kolor kolor subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 flakony flakon subst subst pl|nom|m3 0 app _ _ _
+
+1 zdecydowanie zdecydowanie adv adv pos 0 adjunct _ _ _
+
+1 przyciąga przyciągać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 uwagę uwaga subst subst sg|acc|f 0 obj _ _ _
+
+1 kupującego kupujący adj adj sg|gen|m1|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Orientalno orientalno adv adv pos 0 pred _ _ _
+
+1 świeża świeży adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 woda woda subst subst sg|nom|f 0 subj _ _ A
+
+1 perfumowana perfumować ppas ppas sg|nom|f|imperf|aff 0 adjunct _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jednym jeden adj adj sg|inst|n|pos 0 adjunct _ _ _
+
+1 słowem słowo subst subst sg|inst|n 0 adjunct _ _ _
+
+1 - - interp interp _ 0 punct _ _ _
+
+1 niesamowite niesamowity adj adj pl|acc|n|pos 0 adjunct _ _ S
+
+1 perfumy perfumy subst subst pl|nom|n 0 app _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 spodobają spodobać fin fin pl|ter|perf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 każdej każdy adj adj sg|dat|f|pos 0 adjunct _ _ _
+
+1 kobiecie kobieta subst subst sg|dat|f 0 obj_th _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nazwa nazwa subst subst sg|nom|f 0 pred _ _ A
+
+1 zapachu zapach subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 myląca mylić pact pact sg|nom|f|imperf|aff 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Uwagę uwaga subst subst sg|acc|f 0 obj _ _ _
+
+1 przyciąga przyciągać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 również również qub qub _ 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ciekawy ciekawy adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 design design subst subst sg|acc|m3 0 obj _ _ A
+
+1 flakonika flakonik subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 perfumowana perfumować ppas ppas sg|nom|f|imperf|aff 0 aux _ _ _
+
+1 przeznaczona przeznaczyć ppas ppas sg|nom|f|perf|aff 0 pred _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ _
+
+1 stylowych stylowy adj adj pl|gen|f|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 kochających kochać pact pact pl|gen|f|imperf|aff 0 adjunct _ _ S
+
+1 własny własny adj adj sg|acc|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 obj _ _ _
+
+1 indywidualny indywidualny adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 styl styl subst subst sg|nom|m3 0 app _ _ A
+
+1 życia żyć ger ger sg|gen|n|imperf|aff 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 subj _ _ _
+
+1 przede przed prep prep inst|wok 0 adjunct _ _ _
+
+1 wszystkim wszystko subst subst sg|inst|n 0 comp _ _ _
+
+1 trwały trwać praet praet pl|f|imperf 0 conjunct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 conjunct _ _ A
+
+1 wydajny wydajny adj adj sg|nom|m1|pos 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Coco coco adv adv pos 0 adjunct _ _ _
+
+1 Mademoiselle mademoisella subst subst pl|acc|f 0 obj _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 nowym nowy adj adj sg|inst|n|pos 0 adjunct _ _ _
+
+1 wcieleniem wcielić ger ger sg|inst|n|perf|aff 0 pd _ _ _
+
+1 klasycznych klasyczny adj adj pl|gen|n|pos 0 adjunct _ _ S
+
+1 perfum perfumy subst subst pl|gen|n 0 obj _ _ A
+
+1 Coco coco adv adv pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Są być fin fin pl|ter|imperf 0 aux _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 perfumy perfumy subst subst pl|nom|n 0 subj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 które który adj adj pl|nom|n|pos 0 subj _ _ _
+
+1 po po prep prep loc 0 adjunct _ _ _
+
+1 prostu prosty adjp adjp _ 0 mwe _ _ _
+
+1 uwielbiam uwielbiać fin fin sg|pri|imperf 0 adjunct _ _ S
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 ta ten adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 przeobrażeniem przeobrażenie subst subst sg|inst|n 0 pd _ _ A
+
+1 doskonałości doskonałość subst subst sg|gen|f 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dolce& Dolce& tsym tsym _ 0 pred _ _ _
+
+1 Gabana gaban subst subst sg|gen|m1 0 adjunct _ _ A
+
+1 niczego nic subst subst sg|gen|n 0 adjunct _ _ _
+
+1 sobie się siebie siebie dat 0 adjunct _ _ _
+
+1 prześliczny prześliczny adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 zapach zapach subst subst sg|acc|m3 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 skali skala subst subst sg|loc|f 0 comp _ _ _
+
+1 1 1 tnum tnum integer 0 pred _ _ _
+
+1 : : interp interp _ 0 punct _ _ _
+
+1 10 10 tnum tnum integer 0 complm _ _ _
+
+1 daje dawać fin fin sg|ter|imperf 0 aux _ _ _
+
+1 9 9 tnum tnum integer 0 aux _ _ _
+
+1 to to pred pred _ 0 comp_fin _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 jedyna jedyny adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 woda woda subst subst sg|nom|f 0 subj _ _ A
+
+1 ktorą ktory adj adj sg|inst|f|pos 0 adjunct _ _ _
+
+1 kupie kupa subst subst sg|dat|f 0 app _ _ S
+
+1 jeszcze jeszcze qub qub _ 0 adjunct _ _ _
+
+1 raz raz subst subst sg|acc|m3 0 app _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 nijak nijak qub qub _ 0 adjunct _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 swojego swój adj adj sg|gen|m1|pos 0 adjunct _ _ _
+
+1 wielkiego wielki adj adj sg|gen|m1|pos 0 adjunct _ _ _
+
+1 poprzednika poprzednik subst subst sg|gen|m1 0 comp _ _ A
+
+1 klasycznego klasyczny adj adj sg|gen|m1|pos 0 adjunct _ _ S
+
+1 Eternity eternit subst subst pl|acc|m3 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jeden jeden adj adj sg|nom|m1|pos 0 adjunct _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 zapachów zapach subst subst pl|gen|m3 0 comp _ _ _
+
+1 Calvina calvina subst subst sg|nom|f 0 conjunct _ _ _
+
+1 Kleina kleina subst subst sg|nom|f 0 app _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 jakby jakby conj conj _ 0 coord _ _ _
+
+1 nowsza nowy adj adj sg|nom|f|comp 0 adjunct _ _ _
+
+1 wersja wersja subst subst sg|nom|f 0 conjunct _ _ _
+
+1 klasycznej klasyczny adj adj sg|gen|f|pos 0 adjunct _ _ S
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 rozchwytywanej rozchwytywać ppas ppas sg|gen|f|imperf|aff 0 adjunct _ _ _
+
+1 Eternity eternit subst subst pl|acc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 idealne idealny adj adj pl|nom|n|pos 0 adjunct _ _ S
+
+1 perfumy perfumy subst subst pl|nom|n 0 subj _ _ A
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 dzień dzień subst subst sg|acc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 subj _ _ _
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 długo długo adv adv pos 0 adjunct _ _ _
+
+1 utrzymuje utrzymywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 skórze skóra subst subst sg|loc|f 0 comp _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 nawet nawet qub qub _ 0 conjunct _ _ _
+
+1 gdy gdy conj conj _ 0 coord _ _ _
+
+1 przebywamy przebywać fin fin pl|pri|imperf 0 conjunct _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 świeżym świeży adj adj sg|loc|n|pos 0 adjunct _ _ S
+
+1 powietrzu powietrze subst subst sg|loc|n 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Odpowiedni odpowiedni adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 wieczór wieczór subst subst sg|acc|m3 0 comp _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 na na prep prep acc 0 conjunct _ _ _
+
+1 codzień codzień subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 to to subst subst sg|nom|n 0 subj _ _ _
+
+1 jeden jeden adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 najlepszych dobry adj adj pl|gen|m3|sup 0 adjunct _ _ S
+
+1 produktów produkt subst subst pl|gen|m3 0 comp _ _ A
+
+1 Kleina kleina subst subst sg|nom|f 0 pd _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 rynku rynek subst subst sg|loc|m3 0 comp _ _ _
+
+1 Polskim polski adj adj sg|loc|m3|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Słodkawa słodkawy adj adj sg|nom|f|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 romantyczna romantyczny adj adj sg|nom|f|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 wyrazista wyrazisty adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 nuta nuta subst subst sg|nom|f 0 subj _ _ A
+
+1 zapachu zapach subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 powodują powodować fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 iż iż conj conj _ 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 można można pred pred _ 0 adjunct _ _ _
+
+1 przejść przejść inf inf perf 0 comp_inf _ _ _
+
+1 obok obok prep prep gen 0 comp _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 comp _ _ _
+
+1 obojętnie obojętnie adv adv pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 perfumowana perfumować ppas ppas sg|nom|f|imperf|aff 0 adjunct _ _ _
+
+1 firmy firma subst subst sg|gen|f 0 adjunct _ _ _
+
+1 Chanel chanela subst subst pl|gen|f 0 adjunct _ _ _
+
+1 Coco coco adv adv pos 0 adjunct _ _ _
+
+1 Mademoiselle mademoisella subst subst pl|nom|f 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 produktem produkt subst subst sg|inst|m3 0 pd _ _ A
+
+1 godnym godny adj adj sg|inst|m3|pos 0 adjunct _ _ S
+
+1 polecenia polecić ger ger sg|gen|n|perf|aff 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Opinia opinia subst subst sg|nom|f 0 subj _ _ _
+
+1 poniżej poniżej qub qub _ 0 adjunct _ _ _
+
+1 porównuje porównywać fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 te ten adj adj pl|acc|f|pos 0 adjunct _ _ _
+
+1 wodę woda subst subst sg|acc|f 0 obj _ _ _
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 odświeżacza odświeżacz subst subst sg|gen|m3 0 comp _ _ _
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 toalet-wobec toalet-wobeca subst subst pl|gen|f 0 comp _ _ _
+
+1 tego to subst subst sg|gen|n 0 adjunct _ _ _
+
+1 ja ja ppron12 ppron12 sg|nom|f|pri 0 subj _ _ _
+
+1 poproszę poprosić fin fin sg|pri|perf 0 pred _ _ _
+
+1 o o prep prep acc 0 comp _ _ _
+
+1 stworzenie stworzyć ger ger sg|acc|n|perf|aff 0 conjunct _ _ _
+
+1 odświeżacza odświeżacz subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 o o prep prep loc 0 adjunct _ _ _
+
+1 podobnym podobny adj adj sg|loc|m3|pos 0 adjunct _ _ _
+
+1 zapachu zapach subst subst sg|loc|m3 0 comp _ _ _
+
+1 : : interp interp _ 0 punct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 Jak jak conj conj _ 0 comp _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 rewelacyjna rewelacyjny adj adj sg|nom|f|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 odświeżająca odświeżać pact pact sg|nom|f|imperf|aff 0 conjunct _ _ _
+
+1 woda woda subst subst sg|nom|f 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Są być fin fin pl|ter|imperf 0 pred _ _ _
+
+1 to to subst subst sg|acc|n 0 obj _ _ _
+
+1 moje mój adj adj sg|nom|n|pos 0 pd _ _ _
+
+1 jedne jeden adj adj pl|nom|m3|pos 0 adjunct _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 ulubionych ulubiony adj adj pl|gen|m1|pos 0 adjunct _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 comp _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 najlepsze dobry adj adj pl|nom|f|sup 0 conjunct _ _ S
+
+1 od od prep prep gen|nwok 0 adjunct _ _ _
+
+1 d& d& tsym tsym _ 0 adjunct _ _ _
+
+1 g g subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Są być fin fin pl|ter|imperf 0 pred _ _ _
+
+1 to to subst subst sg|acc|n 0 obj _ _ _
+
+1 moje mój adj adj sg|nom|n|pos 0 pd _ _ _
+
+1 jedne jeden adj adj pl|nom|m3|pos 0 adjunct _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 ulubionych ulubiony adj adj pl|gen|m1|pos 0 adjunct _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 comp _ _ A
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 najlepsze dobry adj adj pl|nom|f|sup 0 conjunct _ _ S
+
+1 od od prep prep gen|nwok 0 adjunct _ _ _
+
+1 d& d& tsym tsym _ 0 adjunct _ _ _
+
+1 g g subst subst sg|acc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jego on ppron3 ppron3 sg|gen|m1|ter|akc|npraep 0 obj _ _ _
+
+1 świeża świeży adj adj sg|nom|f|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 subj _ _ _
+
+1 letnia letni adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 nuta nuta subst subst sg|nom|f 0 conjunct _ _ A
+
+1 zapachowa zapachowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 sprawia sprawiać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 że że conj conj _ 0 subord _ _ _
+
+1 kiedy kiedy qub qub _ 0 adjunct _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 używam używać fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 kojarzą kojarzyć fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 wakacje wakacje subst subst pl|nom|n 0 subj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Te ten adj adj pl|nom|n|pos 0 adjunct _ _ _
+
+1 perfumy perfumy subst subst pl|nom|n 0 pred _ _ _
+
+1 to to subst subst sg|nom|n 0 subj _ _ _
+
+1 jeden jeden adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 najlepszych dobry adj adj pl|gen|m3|sup 0 adjunct _ _ S
+
+1 zakupów zakup subst subst pl|gen|m3 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 jaki jaki adj adj sg|acc|m3|pos 0 obj _ _ _
+
+1 dokonała dokonać praet praet sg|f|perf 0 adjunct _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dostała dostać praet praet sg|f|perf 0 conjunct _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 je on ppron3 ppron3 pl|acc|f|ter|akc|npraep 0 obj _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 prezent prezent subst subst sg|acc|m3 0 comp _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 oryginalnej oryginalny adj adj sg|gen|f|pos 0 adjunct _ _ S
+
+1 perfumerii perfumeria subst subst sg|gen|f 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 więc więc conj conj _ 0 coord _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 100% 100% tsym tsym _ 0 comp _ _ _
+
+1 to to pred pred _ 0 conjunct _ _ _
+
+1 nie nie qub qub _ 0 adjunct _ _ _
+
+1 podróba podróba subst subst sg|nom|f 0 subj _ _ _
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Cytrusowe cytrusowy adj adj pl|nom|m3|pos 0 adjunct _ _ _
+
+1 aromaty aromat subst subst pl|nom|m3 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 jabłko jabłko subst subst sg|acc|n 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 kwiat kwiat subst subst sg|nom|m3 0 subj _ _ _
+
+1 dzwonka dzwonko subst subst sg|gen|n 0 adjunct _ _ _
+
+1 to to pred pred _ 0 conjunct _ _ _
+
+1 pierwsza pierwszy adj adj sg|nom|f|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 najbardziej bardzo adv adv sup 0 adjunct _ _ _
+
+1 świeża świeży adj adj sg|nom|f|pos 0 conjunct _ _ S
+
+1 nuta nuta subst subst sg|nom|f 0 pd _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Kilka kilka num num pl|acc|f|rec 0 obj _ _ _
+
+1 kropli kropla subst subst pl|gen|f 0 comp _ _ A
+
+1 wystarcza wystarczać fin fin sg|ter|imperf 0 pred _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 cały cały adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 dzień dzień subst subst sg|acc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nie nie qub qub _ 0 neg _ _ _
+
+1 są być fin fin pl|ter|imperf 0 aux _ _ _
+
+1 to to pred pred _ 0 conjunct _ _ _
+
+1 perfumy perfumy subst subst pl|nom|n 0 subj _ _ A
+
+1 duszące dusić pact pact pl|nom|n|imperf|aff 0 adjunct _ _ S
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 wręcz wręcz qub qub _ 0 adjunct _ _ _
+
+1 przeciwnie przeciwnie adv adv pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Duża duży adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 butelka butelka subst subst sg|nom|f 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 przystępna przystępny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 cena cena subst subst sg|nom|f 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 prezent prezent subst subst sg|acc|m3 0 comp _ _ A
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 dziewczyny dziewczyna subst subst sg|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Pozostawia pozostawiać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 orzeżwiający orzeżwiać pact pact sg|nom|m3|imperf|aff 0 conjunct _ _ _
+
+1 i i conj conj _ 0 obj _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 przyjemny przyjemny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 dotyk dotyk subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 skórze skóra subst subst sg|loc|f 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 niczym niczym prep prep nom 0 adjunct _ _ _
+
+1 kropla kropla subst subst sg|nom|f 0 comp _ _ _
+
+1 rosy rosa subst subst sg|gen|f 0 adjunct _ _ _
+
+1 o o prep prep loc 0 adjunct _ _ _
+
+1 poranku poranek subst subst sg|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 chyba chyba qub qub _ 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 juz juz subst subst sg|nom|m3 0 subj _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 świecie świat subst subst sg|loc|m3 0 comp _ _ _
+
+1 lepszej dobry adj adj sg|gen|f|comp 0 adjunct _ _ S
+
+1 wody woda subst subst sg|gen|f 0 conjunct _ _ A
+
+1 niż niż conj conj _ 0 adjunct _ _ _
+
+1 ta ten adj adj sg|nom|f|pos 0 conjunct _ _ _
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 perfumki perfumka subst subst pl|nom|f 0 pred _ _ A
+
+1 oryginalne oryginalny adj adj pl|nom|f|pos 0 adjunct _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 aczkolwiek aczkolwiek conj conj _ 0 adjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 porównaniu porównać ger ger sg|loc|n|perf|aff 0 comp _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 tymi ten adj adj pl|inst|f|pos 0 comp _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 sephory sephora subst subst sg|gen|f 0 comp _ _ _
+
+1 te ten adj adj pl|nom|f|pos 0 subj _ _ _
+
+1 utrzymują utrzymywać fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 krótko krótko adv adv pos 0 adjunct _ _ _
+
+1 swój swój adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 obj _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 ciele ciało subst subst sg|loc|n 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Każda każdy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 kobieta kobieta subst subst sg|nom|f 0 subj _ _ _
+
+1 ceniąca cenić pact pact sg|nom|f|imperf|aff 0 subj _ _ _
+
+1 sobie się siebie siebie dat 0 obj_th _ _ _
+
+1 wysokie wysoki adj adj pl|acc|m3|pos 0 adjunct _ _ S
+
+1 standardy standard subst subst pl|acc|m3 0 adjunct _ _ A
+
+1 powinna powinien winien winien sg|f|imperf 0 pred _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
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+1 mieć mieć inf inf imperf 0 comp_inf _ _ _
+
+1 w w prep prep loc|nwok 0 comp _ _ _
+
+1 swojej swój adj adj sg|loc|f|pos 0 adjunct _ _ _
+
+1 toaletce toaletka subst subst sg|loc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
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+1 Świetna świetny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 światowa światowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 marka marka subst subst sg|nom|f 0 subj _ _ A
+
+1 która który adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 wiedzie wieść fin fin sg|ter|imperf 0 pred _ _ _
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+1 prym prym subst subst sg|acc|m3 0 obj _ _ _
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+1 na na prep prep loc 0 adjunct _ _ _
+
+1 całym cały adj adj sg|loc|m3|pos 0 adjunct _ _ _
+
+1 świecie świat subst subst sg|loc|m3 0 comp _ _ _
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+1 : : interp interp _ 0 punct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 Perfum perfumy subst subst pl|gen|n 0 obj _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ładnie ładnie adv adv pos 0 adjunct _ _ _
+
+1 pachnie pachnąć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Flakon flakon subst subst sg|nom|m3 0 subj _ _ _
+
+1 Light Light ign ign _ 0 adjunct _ _ _
+
+1 Blue blue subst subst sg|nom|n 0 subj _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 prosty prosty adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
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+1 klasyczny klasyczny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 kształt kształt subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mimo mimo prep prep gen 0 adjunct _ _ _
+
+1 to to subst subst sg|acc|n 0 comp _ _ _
+
+1 dla dla prep prep gen 0 comp _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 „ „ interp interp _ 0 punct _ _ _
+
+1 to to pred pred _ 0 comp_fin _ _ _
+
+1 coś coś subst subst sg|acc|n 0 conjunct _ _ _
+
+1 ” ” interp interp _ 0 adjunct _ _ _
+
+1 , , interp interp _ 0 subj _ _ _
+
+1 woda woda subst subst sg|nom|f 0 subj _ _ A
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 tania tani adj adj sg|nom|f|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jak jak conj conj _ 0 coord _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 to to subst subst sg|nom|n 0 subj _ _ _
+
+1 tylko tylko qub qub _ 0 adjunct _ _ _
+
+1 opakowanie opakować ger ger sg|nom|n|perf|aff 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 takie taki adj adj sg|nom|n|pos 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 za za qub qub _ 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 - - interp interp _ 0 punct _ _ _
+
+1 korek korek subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 nie nie qub qub _ 0 coord_punct _ _ _
+
+1 wygodny wygodny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 pd _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 kanciaty kanciaty adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecam polecać fin fin sg|pri|imperf 0 conjunct _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 prezent prezent subst subst sg|acc|m3 0 comp _ _ A
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 napewno napewno adv adv pos 0 adjunct _ _ _
+
+1 spodoba spodobać fin fin sg|ter|perf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 każdej każdy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 pani pani subst subst sg|nom|f 0 subj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Matowe matowy adj adj sg|nom|n|pos 0 adjunct _ _ S
+
+1 szkło szkło subst subst sg|nom|n 0 subj _ _ A
+
+1 flakonu flakon subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 chłodzi chłodzić fin fin sg|ter|imperf 0 pred _ _ _
+
+1 nasze nasz adj adj pl|acc|f|pos 0 adjunct _ _ _
+
+1 emocje emocja subst subst pl|acc|f 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealny idealny adj adj sg|nom|m1|pos 0 conjunct _ _ S
+
+1 jako jako conj conj _ 0 coord _ _ _
+
+1 prezent prezent subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 każdej każdy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cena cena subst subst sg|nom|f 0 conjunct _ _ _
+
+1 jak jak conj conj _ 0 coord _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 perfumy perfumy subst subst pl|acc|n 0 comp _ _ _
+
+1 tak tak qub qub _ 0 adjunct _ _ _
+
+1 znanej znany adj adj sg|gen|f|pos 0 adjunct _ _ S
+
+1 firmy firma subst subst sg|gen|f 0 obj _ _ A
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 wygórowana wygórowany adj adj sg|nom|f|pos 0 pd _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Efekt efekt subst subst sg|nom|m3 0 pred _ _ A
+
+1 gwarantowany gwarantować ppas ppas sg|nom|m3|imperf|aff 0 adjunct _ _ S
+
+1 u u prep prep gen 0 adjunct _ _ _
+
+1 każdej każdy adj adj sg|gen|f|pos 0 comp _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 dam dama subst subst pl|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Sądzę sądzić fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 że że conj conj _ 0 coord _ _ _
+
+1 Light Light ign ign _ 0 comp _ _ _
+
+1 Blue blue subst subst sg|nom|n 0 subj _ _ A
+
+1 wart wart subst subst sg|nom|m3 0 app _ _ S
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 swej swój adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 dość dość qub qub _ 0 adjunct _ _ _
+
+1 wygórowanej wygórowany adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 ceny cena subst subst sg|gen|f 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealne idealny adj adj sg|nom|n|pos 0 conjunct _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 codzień codzień subst subst sg|acc|m3 0 comp _ _ A
+
+1 jak jak conj conj _ 0 adjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 na na prep prep acc 0 conjunct _ _ _
+
+1 wieczór wieczór subst subst sg|acc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Butelka butelka subst subst sg|nom|f 0 pred _ _ _
+
+1 zachwycająca zachwycać pact pact sg|nom|f|imperf|aff 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
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+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 miłośniczki miłośniczka subst subst sg|gen|f 0 comp _ _ _
+
+1 pereł perła subst subst pl|gen|f 0 adjunct _ _ _
+
+1 perfumy perfumy subst subst pl|nom|n 0 punct _ _ A
+
+1 obowiązkowe obowiązkowy adj adj pl|acc|n|pos 0 adjunct _ _ S
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Jak jak conj conj _ 0 adjunct _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 są być fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 to to subst subst sg|acc|n 0 obj _ _ _
+
+1 najlepsze dobry adj adj sg|nom|n|sup 0 adjunct _ _ S
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+1 perfumy perfumy subst subst pl|acc|n 0 obj _ _ A
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+1 pod pod prep prep inst|nwok 0 adjunct _ _ _
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+1 słońcem słońce subst subst sg|inst|n 0 comp _ _ _
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+1 i i conj conj _ 0 coord _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 zamienię zamienić fin fin sg|pri|perf 0 conjunct _ _ _
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+1 ich on ppron3 ppron3 pl|acc|m1|ter|akc|npraep 0 obj _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 żadne żaden adj adj pl|acc|n|pos 0 comp _ _ _
+
+1 inne inny adj adj pl|acc|f|pos 0 adjunct _ _ _
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+1 . . interp interp _ 0 punct _ _ _
+
+1 Jak jak conj conj _ 0 adjunct _ _ _
+
+1 można można pred pred _ 0 pred _ _ _
+
+1 wywnioskować wywnioskować inf inf perf 0 pd _ _ _
+
+1 po po prep prep loc 0 adjunct _ _ _
+
+1 nazwie nazwa subst subst sg|loc|f 0 comp _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 to to subst subst sg|nom|n 0 subj _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 adjunct _ _ A
+
+1 miłości miłość subst subst sg|gen|f 0 adjunct _ _ S
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+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 pociągać pociągać inf inf imperf 0 aux _ _ _
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 przyciągać przyciągać inf inf imperf 0 comp_inf _ _ _
+
+1 ; ; interp interp _ 0 coord_punct _ _ _
+
+1 P pa subst subst pl|gen|f 0 obj _ _ _
+
+1 Zaliczyła zaliczyć praet praet sg|f|perf 0 conjunct _ _ _
+
+1 by by qub qub _ 0 cond _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
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+1 raczej raczej qub qub _ 0 adjunct _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 trochę trochę subst subst sg|acc|n 0 comp _ _ _
+
+1 cięższych ciężki adj adj pl|gen|n|comp 0 adjunct _ _ S
+
+1 perfum perfumy subst subst pl|gen|n 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Lecz lecz conj conj _ 0 conjunct _ _ _
+
+1 jak jak conj conj _ 0 coord _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 to to subst subst sg|nom|n 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 ciężkim ciężki adj adj sg|inst|m1|pos 0 adjunct _ _ S
+
+1 rywalem rywal subst subst sg|inst|m1 0 pd _ _ A
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 innych inny adj adj pl|gen|n|pos 0 adjunct _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 toaletowa toaletowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 renomowanej renomowany adj adj sg|gen|f|pos 0 adjunct _ _ S
+
+1 marki marka subst subst sg|gen|f 0 adjunct _ _ A
+
+1 jaką jaki adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 Dolce dolka subst subst sg|dat|f 0 obj_th _ _ _
+
+1 & & interp interp _ 0 punct _ _ _
+
+1 Gabbana gabbana subst subst sg|nom|f 0 app _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|n 0 pred _ _ A
+
+1 wprost wprost prep prep gen 0 adjunct _ _ _
+
+1 idealne idealny adj adj sg|nom|n|pos 0 comp _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ _
+
+1 zmysłowej zmysłowy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfum perfumy subst subst pl|gen|n 0 obj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 drogi drogi adj adj sg|nom|m3|pos 0 conjunct _ _ _
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+1 ale ale conj conj _ 0 subj _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 internecie internet subst subst sg|loc|m3 0 comp _ _ _
+
+1 można można pred pred _ 0 conjunct _ _ _
+
+1 zakupić zakupić inf inf perf 0 comp_inf _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 dobrej dobry adj adj sg|loc|f|pos 0 adjunct _ _ S
+
+1 cenie cena subst subst sg|loc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 te ten adj adj pl|acc|f|pos 0 adjunct _ _ _
+
+1 perfmy perfm subst subst pl|acc|m3 0 obj _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 prezent prezent subst subst sg|acc|m3 0 comp _ _ A
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cena-to cena-to subst subst sg|nom|n 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 mankament mankament subst subst sg|acc|m3 0 obj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 który który adj adj sg|nom|m3|pos 0 subj _ _ _
+
+1 odrzuca odrzucać fin fin sg|ter|imperf 0 adjunct _ _ S
+
+1 od od prep prep gen|nwok 0 comp _ _ _
+
+1 kupna kupno subst subst sg|gen|n 0 comp _ _ _
+
+1 tych ten adj adj pl|gen|n|pos 0 adjunct _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cena-to cena-to subst subst sg|nom|n 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 mankament mankament subst subst sg|acc|m3 0 obj _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 który który adj adj sg|nom|m3|pos 0 subj _ _ _
+
+1 odrzuca odrzucać fin fin sg|ter|imperf 0 adjunct _ _ S
+
+1 od od prep prep gen|nwok 0 comp _ _ _
+
+1 kupna kupno subst subst sg|gen|n 0 comp _ _ A
+
+1 tych ten adj adj pl|gen|n|pos 0 adjunct _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 pred _ _ A
+
+1 godna godny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 polecenia polecić ger ger sg|gen|n|perf|aff 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 każda każdy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 kobieta kobieta subst subst sg|nom|f 0 subj _ _ _
+
+1 po po prep prep loc 0 adjunct _ _ _
+
+1 spryskaniu spryskać ger ger sg|loc|n|perf|aff 0 comp _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 nią on ppron3 ppron3 sg|inst|f|ter|akc|praep 0 comp _ _ _
+
+1 poczuje poczuć fin fin sg|ter|perf 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 z z prep prep inst|nwok 0 comp _ _ _
+
+1 pewnością pewność subst subst sg|inst|f 0 comp _ _ _
+
+1 znakomicie znakomicie adv adv pos 0 adjunct _ _ _
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 najlepsze dobry adj adj pl|nom|n|sup 0 adjunct _ _ S
+
+1 perfumy perfumy subst subst pl|acc|n 0 pred _ _ A
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 świecie świat subst subst sg|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cenowo cenowo adv adv pos 0 adjunct _ _ _
+
+1 jak jak conj conj _ 0 adjunct _ _ _
+
+1 większość większość subst subst sg|nom|f 0 subj _ _ _
+
+1 markowych markowy adj adj pl|gen|f|pos 0 adjunct _ _ S
+
+1 wód wóda subst subst pl|gen|f 0 adjunct _ _ A
+
+1 wypada wypadać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 nawet nawet qub qub _ 0 adjunct _ _ _
+
+1 korzystnie korzystnie adv adv pos 0 comp _ _ _
+
+1 chociaż chociaż conj conj _ 0 coord _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 to to subst subst sg|nom|n 0 subj _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 obj _ _ _
+
+1 ze z prep prep gen|wok 0 adjunct _ _ _
+
+1 średniej średni adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 półki półka subst subst sg|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mimo mimo prep prep gen 0 adjunct _ _ _
+
+1 wysokiej wysoki adj adj sg|gen|f|pos 0 adjunct _ _ S
+
+1 ceny cena subst subst sg|gen|f 0 comp _ _ A
+
+1 owa ów adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 Dolce dolka subst subst sg|dat|f 0 app _ _ _
+
+1 & & interp interp _ 0 punct _ _ _
+
+1 Gabbana gabbana subst subst sg|nom|f 0 app _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 tego to subst subst sg|gen|n 0 obj _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 100% 100% tsym tsym _ 0 comp _ _ _
+
+1 warta warta subst subst sg|nom|f 0 subj _ _ _
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Jedynie jedynie adv adv pos 0 adjunct _ _ _
+
+1 cena cena subst subst sg|nom|f 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 za za prep prep acc 0 comp _ _ _
+
+1 wysoka wysoki adj adj sg|nom|f|pos 0 conjunct _ _ S
+
+1 jak jak conj conj _ 0 comp _ _ _
+
+1 na na prep prep loc 0 conjunct _ _ _
+
+1 taka taki adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 wodę woda subst subst sg|acc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|n 0 conjunct _ _ _
+
+1 dobre dobry adj adj pl|nom|n|pos 0 adjunct _ _ S
+
+1 zarówno zarówno conj conj _ 0 adjunct _ _ _
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 codziennego codzienny adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 użytku użytek subst subst sg|gen|m3 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 jak jak conj conj _ 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 na na prep prep acc 0 conjunct _ _ _
+
+1 wieczorną wieczorny adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 randkę randka subst subst sg|acc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|n 0 conjunct _ _ A
+
+1 dobre dobry adj adj pl|nom|n|pos 0 adjunct _ _ S
+
+1 zarówno zarówno conj conj _ 0 adjunct _ _ _
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 codziennego codzienny adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 użytku użytek subst subst sg|gen|m3 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 jak jak conj conj _ 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 na na prep prep acc 0 conjunct _ _ _
+
+1 wieczorną wieczorny adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 randkę randka subst subst sg|acc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 pred _ _ A
+
+1 idealna idealny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 lato lato subst subst sg|acc|n 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 zapakowana zapakować ppas ppas sg|nom|f|perf|aff 0 pred _ _ _
+
+1 w w prep prep acc|nwok 0 adjunct _ _ _
+
+1 śliczny śliczny adj adj sg|acc|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 mały mały adj adj sg|acc|m3|pos 0 conjunct _ _ _
+
+1 wazonik wazonik subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cena cena subst subst sg|nom|f 0 subj _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 powalająca powalać pact pact sg|nom|f|imperf|aff 0 conjunct _ _ _
+
+1 jak jak conj conj _ 0 pd _ _ _
+
+1 na na prep prep acc 0 conjunct _ _ _
+
+1 tak tak qub qub _ 0 adjunct _ _ _
+
+1 dobrą dobry adj adj sg|acc|f|pos 0 adjunct _ _ S
+
+1 firmę firma subst subst sg|acc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jeśli jeśli conj conj _ 0 adjunct _ _ _
+
+1 chodzi chodzić fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 o o prep prep acc 0 comp _ _ _
+
+1 cenę cena subst subst sg|acc|f 0 comp _ _ _
+
+1 to to subst subst sg|acc|n 0 obj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 ona ony adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 warta warta subst subst sg|nom|f 0 subj _ _ A
+
+1 tej ten adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 jakości jakość subst subst sg|gen|f 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dolce dolka subst subst sg|dat|f 0 obj_th _ _ _
+
+1 & & interp interp _ 0 punct _ _ _
+
+1 Gabbana gabbana subst subst sg|nom|f 0 app _ _ _
+
+1 to to pred pred _ 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 fajna fajny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 woda woda subst subst sg|nom|f 0 subj _ _ A
+
+1 perfumowana perfumować ppas ppas sg|nom|f|imperf|aff 0 adjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 dostała dostać praet praet sg|f|perf 0 conjunct _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 ją on ppron3 ppron3 sg|acc|f|ter|akc|npraep 0 obj _ _ _
+
+1 od od prep prep gen|nwok 0 adjunct _ _ _
+
+1 przyjaciółki przyjaciółka subst subst sg|gen|f 0 comp _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 prezencie prezent subst subst sg|loc|m3 0 comp _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 osiemnastkę osiemnastka subst subst sg|acc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 świetnym świetny adj adj sg|inst|m3|pos 0 adjunct _ _ S
+
+1 wynalazkiem wynalazek subst subst sg|inst|m3 0 pd _ _ A
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 rewelacyjnie rewelacyjnie adv adv pos 0 adjunct _ _ _
+
+1 pachnie pachnąć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 , , interp interp _ 0 conjunct _ _ _
+
+1 idealnie idealnie adv adv pos 0 adjunct _ _ _
+
+1 komponuje komponować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 ze z prep prep inst|wok 0 comp _ _ _
+
+1 skórą skóra subst subst sg|inst|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Fajny fajny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 pomysł pomysł subst subst sg|nom|m3 0 pred _ _ A
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 wakacyjny wakacyjny adj adj sg|acc|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 letni letni adj adj sg|acc|m3|pos 0 conjunct _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dobre dobry adj adj pl|nom|f|pos 0 conjunct _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 wieczór wieczór subst subst sg|acc|m3 0 comp _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 do do prep prep gen 0 conjunct _ _ _
+
+1 pracy praca subst subst sg|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|n 0 conjunct _ _ _
+
+1 choć choć conj conj _ 0 coord _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 najwyższej wysoki adj adj sg|gen|f|sup 0 adjunct _ _ S
+
+1 półki półka subst subst sg|gen|f 0 comp _ _ A
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 są być fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 najdroższe drogi adj adj pl|nom|n|sup 0 pd _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 prezent prezent subst subst sg|acc|m3 0 comp _ _ A
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mamy mama subst subst sg|gen|f 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 żony żona subst subst sg|gen|f 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 córki córka subst subst pl|acc|f 0 conjunct _ _ _
+
+1 czy czy conj conj _ 0 comp _ _ _
+
+1 wnuczki wnuczka subst subst pl|acc|f 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zróżnicowana zróżnicować ppas ppas sg|nom|f|perf|aff 0 adjunct _ _ S
+
+1 pojemność pojemność subst subst sg|nom|f 0 subj _ _ A
+
+1 wiec wiec subst subst sg|nom|m3 0 conjunct _ _ _
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 cena cena subst subst sg|nom|f 0 conjunct _ _ _
+
+1 będzie być bedzie bedzie sg|ter|imperf 0 aux _ _ _
+
+1 odpowiadać odpowiadać inf inf imperf 0 pred _ _ _
+
+1 każdemu każdy adj adj sg|dat|m1|pos 0 obj_th _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Flakonik flakonik subst subst sg|nom|m3 0 subj _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 fajny fajny adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 design design subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cena cena subst subst sg|nom|f 0 pred _ _ A
+
+1 przystępna przystępny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 porównując porównywać pcon pcon imperf 0 adjunct _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 zapachów zapach subst subst pl|gen|m3 0 comp _ _ _
+
+1 tego ten adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 typu typ subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 marek marka subst subst pl|gen|f 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapachem zapach subst subst sg|inst|m3 0 adjunct _ _ _
+
+1 przypominają przypominać fin fin pl|ter|imperf 0 pred _ _ _
+
+1 ostry ostry adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 odświeżacz odświeżacz subst subst sg|nom|m3 0 subj _ _ A
+
+1 powietrza powietrze subst subst sg|gen|n 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Buteleczka buteleczka subst subst sg|nom|f 0 subj _ _ _
+
+1 posiada posiadać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 atrakcyjny atrakcyjny adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 design design subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 świetną świetny adj adj sg|inst|f|pos 0 adjunct _ _ S
+
+1 perfumą perfuma subst subst sg|inst|f 0 adjunct _ _ A
+
+1 utrzymuje utrzymywać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 skórze skóra subst subst sg|loc|f 0 comp _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 długo długo adv adv pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Marka marka subst subst sg|nom|f 0 subj _ _ A
+
+1 znana znać ppas ppas sg|nom|f|imperf|aff 0 adjunct _ _ S
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 każdemu każdy adj adj sg|dat|m1|pos 0 pd _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 prezent prezent subst subst sg|acc|m3 0 comp _ _ A
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 każdej każdy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 pani pani subst subst sg|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Według według prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 najlepsze dobry adj adj pl|nom|n|sup 0 adjunct _ _ S
+
+1 perfumy perfumy subst subst pl|nom|n 0 subj _ _ A
+
+1 Chanel chanela subst subst pl|gen|f 0 adjunct _ _ _
+
+1 jakie jaki adj adj pl|acc|m3|pos 0 adjunct _ _ _
+
+1 miała mieć praet praet sg|f|imperf 0 pred _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 O o prep prep loc 0 comp _ _ _
+
+1 tych ten adj adj pl|loc|n|pos 0 adjunct _ _ _
+
+1 perfumach perfumy subst subst pl|loc|n 0 comp _ _ A
+
+1 marzę marzyć fin fin sg|pri|imperf 0 pred _ _ S
+
+1 już już qub qub _ 0 adjunct _ _ _
+
+1 chyba chyba qub qub _ 0 adjunct _ _ _
+
+1 od od prep prep gen|nwok 0 adjunct _ _ _
+
+1 5 5 tnum tnum integer 0 comp _ _ _
+
+1 lat rok subst subst pl|gen|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ta ten adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 wersja wersja subst subst sg|nom|f 0 subj _ _ _
+
+1 zapachu zapach subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 znacznie znacznie adv adv pos 0 adjunct _ _ _
+
+1 różni różnić fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 od od prep prep gen|nwok 0 comp _ _ _
+
+1 klasycznej klasyczny adj adj sg|gen|f|pos 0 adjunct _ _ S
+
+1 wersji wersja subst subst sg|gen|f 0 comp _ _ A
+
+1 no no qub qub _ 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 To to pred pred _ 0 pred _ _ _
+
+1 ukochane ukochany adj adj pl|nom|n|pos 0 adjunct _ _ S
+
+1 perfumy perfumy subst subst pl|nom|n 0 subj _ _ A
+
+1 moje mój adj adj pl|nom|n|pos 0 conjunct _ _ _
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 mojego mój adj adj sg|gen|m1|pos 0 adjunct _ _ _
+
+1 męża mąż subst subst sg|gen|m1 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Przy przy prep prep loc 0 adjunct _ _ _
+
+1 tym to subst subst sg|loc|n 0 comp _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 niesamowicie niesamowicie adv adv pos 0 adjunct _ _ _
+
+1 trwały trwać praet praet pl|f|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 ładnie ładnie adv adv pos 0 adjunct _ _ _
+
+1 rozwija rozwijać fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 skórze skóra subst subst sg|loc|f 0 comp _ _ A
+
+1 ( ( interp interp _ 0 adjunct _ _ _
+
+1 mojej mój adj adj sg|loc|f|pos 0 conjunct _ _ _
+
+1 przynajmniej przynajmniej qub qub _ 0 adjunct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Myślę myśleć fin fin sg|pri|imperf 0 pred _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 complm _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 to to pred pred _ 0 comp_fin _ _ _
+
+1 znany znany adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 produkt produkt subst subst sg|nom|m3 0 subj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 w w prep prep loc|nwok 0 comp _ _ _
+
+1 przystępnej przystępny adj adj sg|loc|f|pos 0 adjunct _ _ S
+
+1 cenie cena subst subst sg|loc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Gdyby gdyby conj conj _ 0 coord _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 wysoka wysoki adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 cena cena subst subst sg|nom|f 0 pred _ _ A
+
+1 sama sam adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 by by qub qub _ 0 cond _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 po po prep prep acc 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 często często adv adv pos 0 adjunct _ _ _
+
+1 sięgała sięgać praet praet sg|f|imperf 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Według według prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 najlepsze dobry adj adj pl|nom|n|sup 0 adjunct _ _ S
+
+1 perfumy perfumy subst subst pl|nom|n 0 subj _ _ _
+
+1 Chanel chanela subst subst pl|gen|f 0 adjunct _ _ A
+
+1 jakie jaki adj adj pl|acc|m3|pos 0 adjunct _ _ _
+
+1 miała mieć praet praet sg|f|imperf 0 pred _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Świetna świetny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 woda woda subst subst sg|nom|f 0 subj _ _ A
+
+1 toaletowa toaletowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ _
+
+1 długo długo adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 utrzymuje utrzymywać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cena cena subst subst sg|nom|f 0 pred _ _ A
+
+1 przyzwoita przyzwoity adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 więc więc conj conj _ 0 adjunct _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 zakupy zakup subst subst pl|acc|m3 0 comp _ _ _
+
+1 Panowie pan subst subst pl|voc|m1 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Intrygujący intrygować pact pact sg|nom|m3|imperf|aff 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 trwały trwać praet praet pl|f|imperf 0 pred _ _ _
+
+1 o o prep prep loc 0 comp _ _ _
+
+1 mocnej mocny adj adj sg|loc|f|pos 0 adjunct _ _ S
+
+1 nucie nuta subst subst sg|loc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 pred _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ _
+
+1 zdecydowanej zdecydować ppas ppas sg|gen|f|perf|aff 0 adjunct _ _ _
+
+1 o o prep prep loc 0 comp _ _ _
+
+1 silnej silny adj adj sg|loc|f|pos 0 adjunct _ _ S
+
+1 osobowości osobowość subst subst sg|loc|f 0 conjunct _ _ A
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 temperamencie temperament subst subst sg|loc|m3 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dla dla prep prep gen 0 pred _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ _
+
+1 zdecydowanej zdecydować ppas ppas sg|gen|f|perf|aff 0 adjunct _ _ _
+
+1 o o prep prep loc 0 comp _ _ _
+
+1 silnej silny adj adj sg|loc|f|pos 0 adjunct _ _ S
+
+1 osobowości osobowość subst subst sg|loc|f 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 temperamencie temperament subst subst sg|loc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Perfumy perfumy subst subst pl|nom|n 0 subj _ _ _
+
+1 mają mieć fin fin pl|ter|imperf 0 pred _ _ _
+
+1 kobiecy kobiecy adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 comp _ _ _
+
+1 ze z prep prep inst|wok 0 adjunct _ _ _
+
+1 słodką słodki adj adj sg|inst|f|pos 0 adjunct _ _ S
+
+1 nutą nuta subst subst sg|inst|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jedynym jedyny adj adj sg|inst|m3|pos 0 adjunct _ _ _
+
+1 mankamentem mankament subst subst sg|inst|m3 0 adjunct _ _ _
+
+1 może móc fin fin sg|ter|imperf 0 pred _ _ _
+
+1 być być inf inf imperf 0 comp_inf _ _ _
+
+1 dość dość qub qub _ 0 adjunct _ _ _
+
+1 wysoka wysoki adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 cena cena subst subst sg|nom|f 0 pd _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ciekawy ciekawy adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 design design subst subst sg|nom|m3 0 pred _ _ A
+
+1 butelki butelka subst subst sg|gen|f 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 flakonik flakonik subst subst sg|nom|m3 0 subj _ _ _
+
+1 też też qub qub _ 0 adjunct _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 fajny fajny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 nietypowy nietypowy adj adj sg|nom|m1|pos 0 adjunct _ _ _
+
+1 kształcik kształcik subst subst sg|nom|m1 0 subj _ _ A
+
+1 Robią robić fin fin pl|ter|imperf 0 comp _ _ _
+
+1 wrażenie wrażenie subst subst sg|acc|n 0 pred _ _ _
+
+1 Używała używać praet praet sg|f|imperf 0 pred _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 już już qub qub _ 0 adjunct _ _ _
+
+1 wielu wiele num num pl|nom|m1|rec 0 subj _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 różnych różny adj adj pl|gen|f|pos 0 adjunct _ _ _
+
+1 znanych znany adj adj pl|gen|f|pos 0 adjunct _ _ S
+
+1 marek marka subst subst pl|gen|f 0 conjunct _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 comp _ _ _
+
+1 te ten adj adj pl|nom|m3|pos 0 subj _ _ _
+
+1 przebijają przebijać fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 wszystko wszystko subst subst sg|acc|n 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 tak tak qub qub _ 0 adjunct _ _ _
+
+1 właśnie właśnie qub qub _ 0 adjunct _ _ _
+
+1 kojarzy kojarzyć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 wiąże wiązać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 różnymi różny adj adj pl|inst|f|pos 0 adjunct _ _ _
+
+1 sytuacjami sytuacja subst subst pl|inst|f 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 zpach zpach subst subst sg|nom|m3 0 subj _ _ _
+
+1 dobry dobry adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 wspomnień wspomnienie subst subst pl|gen|n 0 comp _ _ A
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 tak tak qub qub _ 0 adjunct _ _ _
+
+1 właśnie właśnie qub qub _ 0 adjunct _ _ _
+
+1 kojarzy kojarzyć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 wiąże wiązać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 różnymi różny adj adj pl|inst|f|pos 0 adjunct _ _ _
+
+1 sytuacjami sytuacja subst subst pl|inst|f 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 zpach zpach subst subst sg|nom|m3 0 subj _ _ A
+
+1 dobry dobry adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 wspomnień wspomnienie subst subst pl|gen|n 0 comp _ _ _
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Perfum perfumy subst subst pl|gen|n 0 adjunct _ _ A
+
+1 idealny idealny adj adj sg|nom|m1|pos 0 adjunct _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 wieczór wieczór subst subst sg|acc|m3 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 długo długo adv adv pos 0 adjunct _ _ _
+
+1 pachnie pachnąć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Kolejnym kolejny adj adj sg|inst|m3|pos 0 adjunct _ _ _
+
+1 plusem plus subst subst sg|inst|m3 0 pd _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 opakowanie opakować ger ger sg|nom|n|perf|aff 0 subj _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ciekawym ciekawy adj adj sg|loc|m3|pos 0 adjunct _ _ S
+
+1 kształcie kształt subst subst sg|loc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 prezent prezent subst subst sg|acc|m3 0 comp _ _ A
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 ta ten adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 produktem produkt subst subst sg|inst|m3 0 pd _ _ A
+
+1 markowym markowy adj adj sg|inst|m3|pos 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 zmysłowy zmysłowy adj adj sg|nom|m1|pos 0 conjunct _ _ _
+
+1 i i conj conj _ 0 pd _ _ _
+
+1 kobiecy kobiecy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 wyraźną wyraźny adj adj sg|inst|f|pos 0 adjunct _ _ S
+
+1 kwiatową kwiatowy adj adj sg|inst|f|pos 0 adjunct _ _ _
+
+1 nutą nuta subst subst sg|inst|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nie nie qub qub _ 0 neg _ _ _
+
+1 podoba podobać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|acc|m3 0 obj _ _ _
+
+1 ze z prep prep gen|wok 0 adjunct _ _ _
+
+1 względu wzgląd subst subst sg|gen|m3 0 comp _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 jego on ppron3 ppron3 sg|gen|m1|ter|akc|npraep 0 adjunct _ _ _
+
+1 ostrą ostry adj adj sg|acc|f|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 wibrującą wibrować pact pact sg|acc|f|imperf|aff 0 conjunct _ _ _
+
+1 nutę nuta subst subst sg|acc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 To to pred pred _ 0 pred _ _ _
+
+1 ponadczasowy ponadczasowy adj adj sg|nom|m1|pos 0 adjunct _ _ S
+
+1 klasyk klasyk subst subst sg|nom|m1 0 subj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 który który adj adj sg|nom|m1|pos 0 subj _ _ _
+
+1 zawsze zawsze qub qub _ 0 adjunct _ _ _
+
+1 będzie być bedzie bedzie sg|ter|imperf 0 aux _ _ _
+
+1 miał mieć praet praet sg|m1|imperf 0 adjunct _ _ _
+
+1 fanów fan subst subst pl|acc|m1 0 conjunct _ _ _
+
+1 i i conj conj _ 0 subj _ _ _
+
+1 antyfanów antyfan subst subst pl|gen|m1 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cena cena subst subst sg|nom|f 0 subj _ _ A
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 sieci sieć subst subst sg|loc|f 0 comp _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 przyzwoita przyzwoity adj adj sg|nom|f|pos 0 pd _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 więc więc conj conj _ 0 conjunct _ _ _
+
+1 pewnie pewnie adv adv pos 0 adjunct _ _ _
+
+1 skuszę skusić fin fin sg|pri|perf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 więcej więcej num num pl|acc|m1|rec 0 obj _ _ _
+
+1 niż niż conj conj _ 0 coord _ _ _
+
+1 30ml 30ml tsym tsym _ 0 comp _ _ _
+
+1 ; ; interp interp _ 0 conjunct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 Cena cena subst subst sg|nom|f 0 subj _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 z z prep prep gen|nwok 0 comp _ _ _
+
+1 tej ten adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 wyższej wysoki adj adj sg|gen|f|comp 0 adjunct _ _ S
+
+1 półki półka subst subst sg|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 Calvin calvina subst subst pl|gen|f 0 adjunct _ _ _
+
+1 Clein cleina subst subst pl|gen|f 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 jedną jeden adj adj sg|inst|f|pos 0 pd _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 najlepszych dobry adj adj pl|gen|f|sup 0 adjunct _ _ S
+
+1 wód wóda subst subst pl|gen|f 0 comp _ _ A
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 rynku rynek subst subst sg|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jak jak conj conj _ 0 coord _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 produkt produkt subst subst sg|nom|m3 0 subj _ _ A
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 wart wart subst subst sg|nom|m3 0 app _ _ S
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 każdej każdy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 ceny cena subst subst sg|gen|f 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 toaletowa toaletowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 może móc fin fin sg|ter|imperf 0 pred _ _ _
+
+1 być być inf inf imperf 0 comp_inf _ _ _
+
+1 też też qub qub _ 0 adjunct _ _ _
+
+1 świetnym świetny adj adj sg|inst|m3|pos 0 adjunct _ _ S
+
+1 prezentem prezent subst subst sg|inst|m3 0 pd _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nie nie qub qub _ 0 neg _ _ _
+
+1 były być praet praet pl|m3|imperf 0 aux _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 pieniądze pieniądz subst subst pl|nom|m3 0 subj _ _ A
+
+1 wyrzucone wyrzucić ppas ppas pl|nom|m3|perf|aff 0 adjunct _ _ S
+
+1 w w prep prep acc|nwok 0 adjunct _ _ _
+
+1 błoto błoto subst subst sg|acc|n 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Produkt produkt subst subst sg|nom|m3 0 pred _ _ A
+
+1 idealny idealny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 stosowania stosować ger ger sg|gen|n|imperf|aff 0 comp _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 wieczorne wieczorny adj adj pl|acc|n|pos 0 adjunct _ _ _
+
+1 wyjścia wyjście subst subst pl|acc|n 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zakupiła zakupić praet praet sg|f|perf 0 pred _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 je on ppron3 ppron3 pl|acc|f|ter|akc|npraep 0 obj _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 korzystnej korzystny adj adj sg|loc|f|pos 0 adjunct _ _ S
+
+1 cenie cena subst subst sg|loc|f 0 comp _ _ A
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 lotnisku lotnisko subst subst sg|loc|n 0 comp _ _ _
+
+1 : : interp interp _ 0 punct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 Kupno kupno subst subst sg|nom|n 0 pd _ _ _
+
+1 tych ten adj adj pl|gen|n|pos 0 adjunct _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 adjunct _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 dobra dobry adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 inwestycja inwestycja subst subst sg|nom|f 0 subj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ponieważ ponieważ conj conj _ 0 comp_fin _ _ _
+
+1 flakonik flakonik subst subst sg|nom|m3 0 subj _ _ _
+
+1 starcza starczać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 długo długo adv adv pos 0 comp _ _ _
+
+1 , , interp interp _ 0 conjunct _ _ _
+
+1 w w prep prep loc|nwok 0 conjunct _ _ _
+
+1 przeciwieństwie przeciwieństwo subst subst sg|loc|n 0 comp _ _ _
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 wód wóda subst subst pl|gen|f 0 comp _ _ _
+
+1 toaletowych toaletowy adj adj pl|gen|f|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 czy czy conj conj _ 0 comp_fin _ _ _
+
+1 innych inny adj adj pl|gen|n|pos 0 adjunct _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 nadaje nadawać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 prezent prezent subst subst sg|acc|m3 0 comp _ _ A
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 każdej każdy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 wydajny wydajny adj adj sg|nom|m1|pos 0 adjunct _ _ S
+
+1 perfum perfumy subst subst pl|gen|n 0 adjunct _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 długo długo adv adv pos 0 adjunct _ _ _
+
+1 utrzymuje utrzymywać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 skórze skóra subst subst sg|loc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 perfumowana perfumować ppas ppas sg|nom|f|imperf|aff 0 conjunct _ _ _
+
+1 starcza starczać fin fin sg|ter|imperf 0 aux _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 długo długo adv adv pos 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 wystarczy wystarczyć fin fin sg|ter|perf 0 conjunct _ _ S
+
+1 kilka kilka num num pl|acc|f|rec 0 obj _ _ _
+
+1 kropelek kropelka subst subst pl|gen|f 0 comp _ _ A
+
+1 perfumu perfum subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 pachnie pachnąć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 przez przez prep prep acc|nwok 0 comp _ _ _
+
+1 cały cały adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 dzień dzień subst subst sg|acc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Po po prep prep loc 0 adjunct _ _ _
+
+1 czasie czas subst subst sg|loc|m3 0 comp _ _ _
+
+1 przechodzi przechodzić fin fin sg|ter|imperf 0 pred _ _ _
+
+1 w w prep prep acc|nwok 0 comp _ _ _
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+1 nieco nieco qub qub _ 0 comp _ _ _
+
+1 inną inny adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 nutę nuta subst subst sg|acc|f 0 obj _ _ _
+
+1 zapachową zapachowy adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 za za prep prep acc 0 adjunct _ _ _
+
+1 co co subst subst sg|acc|n 0 comp _ _ _
+
+1 dodatkowy dodatkowy adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 plus plus subst subst sg|acc|m3 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 perfumowana perfumować ppas ppas sg|nom|f|imperf|aff 0 adjunct _ _ _
+
+1 Euphoria euphorium subst subst pl|acc|n 0 adjunct _ _ _
+
+1 marki marka subst subst sg|gen|f 0 adjunct _ _ _
+
+1 Calvin calvina subst subst pl|gen|f 0 adjunct _ _ _
+
+1 Klein kleina subst subst pl|gen|f 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 jednym jeden adj adj sg|inst|m3|pos 0 pd _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 najlepszych dobry adj adj pl|gen|m3|sup 0 adjunct _ _ S
+
+1 produktów produkt subst subst pl|gen|m3 0 comp _ _ A
+
+1 tego ten adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 typu typ subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 rynku rynek subst subst sg|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nuta nuta subst subst sg|nom|f 0 subj _ _ A
+
+1 zapachowa zapachowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 po po prep prep loc 0 comp _ _ _
+
+1 prostu prosty adjp adjp _ 0 mwe _ _ _
+
+1 rewelacyjna rewelacyjny adj adj sg|nom|f|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 comp _ _ _
+
+1 wiadomo wiadomo pred pred _ 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 complm _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 każdemu każdy adj adj sg|dat|m1|pos 0 obj_th _ _ _
+
+1 może móc fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 przypaść przypaść inf inf perf 0 comp_inf _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 gustu gust subst subst sg|gen|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 W w prep prep loc|nwok 0 pred _ _ _
+
+1 natłoku natłok subst subst sg|loc|m3 0 comp _ _ _
+
+1 zapachów zapach subst subst pl|gen|m3 0 adjunct _ _ _
+
+1 typu typ subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 adidas adidas subst subst sg|nom|m3 0 app _ _ A
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 ten ten adj adj sg|nom|m3|pos 0 subj _ _ _
+
+1 wyróżnia wyróżniać fin fin sg|ter|imperf 0 adjunct _ _ S
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 swoją swój adj adj sg|inst|f|pos 0 adjunct _ _ _
+
+1 oryginalnością oryginalność subst subst sg|inst|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 subj _ _ _
+
+1 strasznie strasznie adv adv pos 0 adjunct _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 podoba podobać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 komponuje komponować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 skórze skóra subst subst sg|loc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nie nie qub qub _ 0 neg _ _ _
+
+1 bądźmy być impt impt pl|pri|imperf 0 pred _ _ _
+
+1 zaszokowani zaszokować ppas ppas pl|nom|m1|perf|aff 0 adjunct _ _ S
+
+1 ceną cena subst subst sg|inst|f 0 adjunct _ _ A
+
+1 tej ten adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 wody woda subst subst sg|gen|f 0 adjunct _ _ _
+
+1 toaletowej toaletowy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 końcu koniec subst subst sg|loc|m3 0 comp _ _ _
+
+1 pochodzi pochodzić fin fin sg|ter|imperf 0 aux _ _ _
+
+1 od od prep prep gen|nwok 0 comp _ _ _
+
+1 Chanel chanela subst subst pl|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Na na prep prep loc 0 adjunct _ _ _
+
+1 razie raz subst subst sg|loc|m3 0 comp _ _ _
+
+1 jestem być fin fin sg|pri|imperf 0 pred _ _ _
+
+1 w w prep prep loc|nwok 0 comp _ _ _
+
+1 posiadaniu posiadać ger ger sg|loc|n|imperf|aff 0 comp _ _ _
+
+1 jedynie jedynie adv adv pos 0 adjunct _ _ _
+
+1 próbki próbka subst subst sg|gen|f 0 conjunct _ _ A
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 która który adj adj sg|nom|f|pos 0 conjunct _ _ _
+
+1 jednak jednak conj conj _ 0 obj _ _ _
+
+1 zachęciła zachęcić praet praet sg|f|perf 0 conjunct _ _ S
+
+1 mnie ja ppron12 ppron12 sg|acc|f|pri|akc 0 obj _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 tyle tyle num num pl|acc|m3|rec 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 adjunct _ _ _
+
+1 muszę musieć fin fin sg|pri|imperf 0 adjunct _ _ _
+
+1 sobie się siebie siebie dat 0 obj_th _ _ _
+
+1 sprawić sprawić inf inf perf 0 comp_inf _ _ _
+
+1 coś coś subst subst sg|acc|n 0 obj _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 tej ten adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 linii linia subst subst sg|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Uważam uważać fin fin sg|pri|imperf 0 pred _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 complm _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 to to subst subst sg|acc|n 0 obj _ _ _
+
+1 jeden jeden adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 najlepszych dobry adj adj pl|gen|m3|sup 0 adjunct _ _ S
+
+1 męskich męski adj adj pl|gen|m3|pos 0 adjunct _ _ _
+
+1 perfumów perfumowa subst subst pl|gen|f 0 comp _ _ A
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 naszym nasz adj adj sg|loc|m3|pos 0 adjunct _ _ _
+
+1 rynku rynek subst subst sg|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 horrendalna horrendalny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 cena cena subst subst sg|nom|f 0 subj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 CK ck subst subst sg|nom|n 0 pd _ _ _
+
+1 In in xxx xxx _ 0 pd _ _ _
+
+1 2U 2U tsym tsym _ 0 adjunct _ _ _
+
+1 For for subst subst sg|nom|m3 0 app _ _ _
+
+1 Men men subst subst sg|acc|m3 0 app _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ _
+
+1 pełen pełny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 seksu seks subst subst sg|gen|m3 0 conjunct _ _ A
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 wolności wolność subst subst sg|gen|f 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 świetny świetny adj adj sg|nom|m1|pos 0 adjunct _ _ S
+
+1 perfum perfumy subst subst pl|gen|n 0 pred _ _ A
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mężczyzn mężczyzna subst subst pl|gen|m1 0 comp _ _ _
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Korzystam korzystać fin fin sg|pri|imperf 0 conjunct _ _ S
+
+1 z z prep prep gen|nwok 0 comp _ _ _
+
+1 różnych różny adj adj pl|gen|n|pos 0 adjunct _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 coord _ _ _
+
+1 Calvin calvina subst subst pl|gen|f 0 comp _ _ _
+
+1 zawsze zawsze qub qub _ 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 zapasie zapas subst subst sg|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cena cena subst subst sg|nom|f 0 subj _ _ _
+
+1 za za prep prep acc 0 adjunct _ _ _
+
+1 ten ten adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 markowy markowy adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 produkt produkt subst subst sg|acc|m3 0 comp _ _ A
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 wcale wcale qub qub _ 0 adjunct _ _ _
+
+1 wygórowana wygórowany adj adj sg|nom|f|pos 0 pd _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jeden jeden adj adj sg|nom|m1|pos 0 adjunct _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 lepszych dobry adj adj pl|gen|m3|comp 0 adjunct _ _ S
+
+1 prezentów prezent subst subst pl|gen|m3 0 comp _ _ A
+
+1 jakie jaki adj adj pl|nom|m3|pos 0 adjunct _ _ _
+
+1 kiedykolwiek kiedykolwiek qub qub _ 0 adjunct _ _ _
+
+1 dostał dostać praet praet sg|m1|perf 0 pred _ _ _
+
+1 em być aglt aglt sg|pri|imperf|wok 0 aglt _ _ _
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Całkiem całkiem qub qub _ 0 adjunct _ _ _
+
+1 fajnie fajnie adv adv pos 0 adjunct _ _ _
+
+1 zaprojektowane zaprojektować ppas ppas sg|nom|n|perf|aff 0 pred _ _ _
+
+1 pudełeczko pudełeczko subst subst sg|nom|n 0 subj _ _ _
+
+1 sprawia sprawiać fin fin sg|ter|imperf 0 aux _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 comp_fin _ _ _
+
+1 również również qub qub _ 0 adjunct _ _ _
+
+1 nieźle nieźle adv adv pos 0 adjunct _ _ S
+
+1 nadaje nadawać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 prezent prezent subst subst sg|acc|m3 0 comp _ _ A
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ciekawy ciekawy adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 wygląd wygląd subst subst sg|nom|m3 0 subj _ _ A
+
+1 tej ten adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 wody woda subst subst sg|gen|f 0 adjunct _ _ _
+
+1 toaletowej toaletowy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 sprawił sprawić praet praet sg|m1|perf 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 coord _ _ _
+
+1 dostał dostać praet praet sg|m1|perf 0 conjunct _ _ _
+
+1 em być aglt aglt sg|pri|imperf|wok 0 aglt _ _ _
+
+1 ją on ppron3 ppron3 sg|acc|f|ter|akc|npraep 0 obj _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 prezecie prezeta subst subst sg|loc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zapach zapach subst subst sg|nom|m3 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 może może qub qub _ 0 adjunct _ _ _
+
+1 raczej raczej qub qub _ 0 adjunct _ _ _
+
+1 design design subst subst sg|acc|m3 0 obj _ _ A
+
+1 pojemnika pojemnik subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 znany znany adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 chyba chyba qub qub _ 0 adjunct _ _ _
+
+1 każdemu każdy adj adj sg|dat|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 kto kto subst subst sg|nom|m1 0 conjunct _ _ _
+
+1 choć choć conj conj _ 0 adjunct _ _ _
+
+1 raz raz subst subst sg|nom|m3 0 conjunct _ _ _
+
+1 pojawił pojawić praet praet sg|m1|perf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 w w prep prep loc|nwok 0 comp _ _ _
+
+1 perfumerii perfumeria subst subst sg|loc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Butelka butelka subst subst sg|nom|f 0 subj _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 ciekawy ciekawy adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 kształt kształt subst subst sg|acc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecałym polecały adj adj pl|dat|f|pos 0 pred _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 osobom osoba subst subst pl|dat|f 0 obj_th _ _ _
+
+1 pewnym pewny adj adj pl|dat|f|pos 0 adjunct _ _ _
+
+1 siebie się siebie siebie acc 0 adjunct _ _ _
+
+1 z z prep prep inst|nwok 0 comp _ _ _
+
+1 silnym silny adj adj sg|inst|m3|pos 0 adjunct _ _ S
+
+1 charakterem charakter subst subst sg|inst|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Polecam polecać fin fin sg|pri|imperf 0 conjunct _ _ S
+
+1 szczególnie szczególnie adv adv pos 0 adjunct _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 prezent prezent subst subst sg|acc|m3 0 comp _ _ A
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mężczyzn mężczyzna subst subst pl|gen|m1 0 comp _ _ _
+
+1 od od prep prep gen|nwok 0 adjunct _ _ _
+
+1 20 20 tnum tnum integer 0 comp _ _ _
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 więcej więcej num num pl|nom|m1|rec 0 conjunct _ _ _
+
+1 : : interp interp _ 0 coord_punct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 Zwraca zwracać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 uwagę uwaga subst subst sg|acc|f 0 obj _ _ _
+
+1 ludzi człowiek subst subst pl|gen|m1 0 adjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 otoczeniu otoczyć ger ger sg|loc|n|perf|aff 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 wywołuje wywoływać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 liczne liczny adj adj sg|nom|n|pos 0 pd _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 choć choć conj conj _ 0 conjunct _ _ _
+
+1 przyjemne przyjemny adj adj pl|nom|m3|pos 0 adjunct _ _ S
+
+1 komentarze komentarz subst subst pl|nom|m3 0 conjunct _ _ A
+
+1 : : interp interp _ 0 coord_punct _ _ _
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 Nazwa nazwa subst subst sg|nom|f 0 pred _ _ A
+
+1 Energise energisy adj adj pl|nom|f|pos 0 conjunct _ _ _
+
+1 jak jak conj conj _ 0 adjunct _ _ _
+
+1 najbardziej bardzo adv adv sup 0 adjunct _ _ _
+
+1 adekwatna adekwatny adj adj sg|nom|f|pos 0 conjunct _ _ S
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 zapachu zapach subst subst sg|gen|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dobra dobry adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 alternatywa alternatywa subst subst sg|nom|f 0 pred _ _ A
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 prezent prezent subst subst sg|acc|m3 0 comp _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mężczyzny mężczyzna subst subst sg|gen|m1 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mówiąc mówić pcon pcon imperf 0 adjunct _ _ _
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 specyficzny specyficzny adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 zapach zapach subst subst sg|nom|m3 0 adjunct _ _ _
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 mam mieć fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 myśli myśl subst subst sg|loc|f 0 comp _ _ _
+
+1 podobieństwa podobieństwo subst subst pl|acc|n 0 comp _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 poprzednikiem poprzednik subst subst sg|inst|m1 0 comp _ _ _
+
+1 owych ów adj adj pl|gen|n|pos 0 adjunct _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 czyli czyli conj conj _ 0 coord _ _ _
+
+1 kultowym kultowy adj adj sg|loc|m3|pos 0 adjunct _ _ S
+
+1 numerze numer subst subst sg|loc|m3 0 conjunct _ _ A
+
+1 5 5 tnum tnum integer 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 który który adj adj sg|nom|m1|pos 0 subj _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 zarówno zarówno conj conj _ 0 pre_coord _ _ _
+
+1 tak tak qub qub _ 0 adjunct _ _ _
+
+1 wiele wiele num num pl|nom|f|rec 0 subj _ _ _
+
+1 zwolenniczek zwolenniczka subst subst pl|gen|f 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 jak jak conj conj _ 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 przeciwniczek przeciwniczka subst subst pl|gen|f 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jak jak conj conj _ 0 coord _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mnie ja ppron12 ppron12 sg|gen|f|pri|akc 0 comp _ _ _
+
+1 chyba chyba qub qub _ 0 adjunct _ _ _
+
+1 bardziej bardzo adv adv comp 0 pred _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 pana pan subst subst sg|gen|m1 0 comp _ _ _
+
+1 ze z prep prep gen|wok 0 adjunct _ _ _
+
+1 względu wzgląd subst subst sg|gen|m3 0 comp _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 intensywne intensywny adj adj pl|acc|m3|pos 0 adjunct _ _ S
+
+1 korzenne korzenny adj adj pl|acc|m3|pos 0 adjunct _ _ _
+
+1 nuty nuta subst subst pl|acc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Produkt produkt subst subst sg|nom|m3 0 adjunct _ _ A
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 trwały trwały adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 już już qub qub _ 0 adjunct _ _ _
+
+1 jedno jeden adj adj sg|nom|n|pos 0 adjunct _ _ _
+
+1 psiknięcie psiknąć ger ger sg|nom|n|perf|aff 0 subj _ _ _
+
+1 starczy starczyć fin fin sg|ter|perf 0 pred _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
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+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
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+1 długi długi adj adj sg|acc|m3|pos 0 adjunct _ _ _
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+1 czas czas subst subst sg|acc|m3 0 comp _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Jest być fin fin sg|ter|imperf 0 aux _ _ _
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+1 to to pred pred _ 0 pred _ _ _
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+1 również również qub qub _ 0 adjunct _ _ _
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+1 świetny świetny adj adj sg|nom|m3|pos 0 adjunct _ _ S
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+1 pomysł pomysł subst subst sg|nom|m3 0 conjunct _ _ A
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+1 na na prep prep acc 0 adjunct _ _ _
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+1 prezent prezent subst subst sg|acc|m3 0 comp _ _ _
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+1 na na prep prep acc 0 adjunct _ _ _
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+1 urodziny urodziny subst subst pl|acc|n 0 comp _ _ _
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+1 czy czy conj conj _ 0 subj _ _ _
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+1 pod pod prep prep acc|nwok 0 conjunct _ _ _
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+1 choinkę choinka subst subst sg|acc|f 0 comp _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Flakonik flakonik subst subst sg|nom|m3 0 pred _ _ _
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+1 w w prep prep loc|nwok 0 adjunct _ _ _
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+1 nowoczesnym nowoczesny adj adj sg|loc|m3|pos 0 adjunct _ _ S
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+1 stylu styl subst subst sg|loc|m3 0 comp _ _ A
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+1 , , interp interp _ 0 punct _ _ _
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+1 dozowany dozować ppas ppas sg|nom|m1|imperf|aff 0 adjunct _ _ _
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+1 atomizerem atomizer subst subst sg|inst|m3 0 app _ _ _
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+1 o o prep prep loc 0 adjunct _ _ _
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+1 dużej duży adj adj sg|loc|f|pos 0 adjunct _ _ _
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+1 pojemności pojemność subst subst sg|loc|f 0 comp _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
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+1 oryginalna oryginalny adj adj sg|nom|f|pos 0 adjunct _ _ S
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+1 woda woda subst subst sg|nom|f 0 pred _ _ A
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+1 po po prep prep loc 0 adjunct _ _ _
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+1 goleniu golić ger ger sg|loc|n|imperf|aff 0 comp _ _ _
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+1 dla dla prep prep gen 0 adjunct _ _ _
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+1 mężczyzn mężczyzna subst subst pl|gen|m1 0 comp _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Cena cena subst subst sg|nom|f 0 subj _ _ A
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+1 może móc fin fin sg|ter|imperf 0 pred _ _ _
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+1 nie nie qub qub _ 0 neg _ _ _
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+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
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+1 zbyt zbyt qub qub _ 0 adjunct _ _ _
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+1 atrakcyjna atrakcyjny adj adj sg|nom|f|pos 0 conjunct _ _ S
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+1 ale ale conj conj _ 0 obj _ _ _
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+1 liczne liczny adj adj pl|nom|f|pos 0 adjunct _ _ _
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+1 promocje promocja subst subst pl|nom|f 0 subj _ _ _
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+1 pozwalają pozwalać fin fin pl|ter|imperf 0 conjunct _ _ _
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+1 na na prep prep acc 0 comp _ _ _
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+1 zakup zakup subst subst sg|acc|m3 0 comp _ _ _
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+1 tych ten adj adj pl|gen|n|pos 0 adjunct _ _ _
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+1 perfum perfumy subst subst pl|gen|n 0 adjunct _ _ _
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+1 w w prep prep loc|nwok 0 adjunct _ _ _
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+1 okazyjnej okazyjny adj adj sg|loc|f|pos 0 adjunct _ _ _
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+1 cenie cena subst subst sg|loc|f 0 comp _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 najbardziej bardzo adv adv sup 0 adjunct _ _ _
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+1 korzystny korzystny adj adj sg|nom|m3|pos 0 adjunct _ _ S
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+1 zakup zakup subst subst sg|nom|m3 0 pred _ _ A
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+1 to ten adj adj sg|nom|n|pos 0 adjunct _ _ _
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+1 kupno kupno subst subst sg|acc|n 0 app _ _ _
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+1 200ml 200ml tsym tsym _ 0 adjunct _ _ _
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+1 flakonu flakon subst subst sg|gen|m3 0 obj _ _ _
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+1 perfum perfumy subst subst pl|gen|n 0 adjunct _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Są być fin fin pl|ter|imperf 0 pred _ _ _
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+1 to to subst subst sg|acc|n 0 obj _ _ _
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+1 trwałe trwały adj adj sg|nom|n|pos 0 adjunct _ _ S
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+1 perfumy perfumy subst subst pl|nom|n 0 subj _ _ A
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+1 które który adj adj pl|nom|n|pos 0 adjunct _ _ _
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+1 nie nie qub qub _ 0 neg _ _ _
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+1 kosztują kosztować fin fin pl|ter|imperf 0 comp_fin _ _ _
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+1 dużo dużo adv adv pos 0 adjunct _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Ciekawa ciekawy adj adj sg|nom|f|pos 0 adjunct _ _ S
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+1 kolorystyka kolorystyka subst subst sg|nom|f 0 pred _ _ A
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+1 flakonu flakon subst subst sg|gen|m3 0 adjunct _ _ _
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+1 , , interp interp _ 0 punct _ _ _
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+1 który który adj adj sg|nom|m3|pos 0 subj _ _ _
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+1 mieści mieścić fin fin sg|ter|imperf 0 adjunct _ _ _
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+1 200 200 tnum tnum integer 0 punct _ _ _
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+1 ml ml subst subst sg|nom|m3 0 app _ _ _
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+1 wody woda subst subst sg|gen|f 0 adjunct _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Buteleczka buteleczka subst subst sg|nom|f 0 pred _ _ _
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+1 w w prep prep loc|nwok 0 adjunct _ _ _
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+1 ognistym ognisty adj adj sg|loc|m3|pos 0 adjunct _ _ S
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+1 kolorze kolor subst subst sg|loc|m3 0 comp _ _ A
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+1 . . interp interp _ 0 punct _ _ _
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+1 Są być fin fin pl|ter|imperf 0 pred _ _ _
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+1 to to subst subst sg|acc|n 0 obj _ _ _
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+1 jedne jeden adj adj pl|nom|f|pos 0 adjunct _ _ _
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+1 z z prep prep gen|nwok 0 adjunct _ _ _
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+1 najbardziej bardzo adv adv sup 0 adjunct _ _ _
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+1 popularnych popularny adj adj pl|gen|n|pos 0 adjunct _ _ S
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+1 perfum perfumy subst subst pl|gen|n 0 comp _ _ A
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+1 ( ( interp interp _ 0 punct _ _ _
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+1 hugo hugo subst subst sg|nom|m1 0 subj _ _ _
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+1 boss boss subst subst sg|nom|m1 0 app _ _ _
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+1 , , interp interp _ 0 coord_punct _ _ _
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+1 lacoste lacosty adj adj sg|nom|n|pos 0 conjunct _ _ _
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+1 ) ) interp interp _ 0 punct _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Woda woda subst subst sg|nom|f 0 subj _ _ _
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+1 dolce dolka subst subst sg|dat|f 0 app _ _ _
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+1 Gabbana gabbana subst subst sg|nom|f 0 app _ _ _
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+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
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+1 jedną jeden adj adj sg|inst|f|pos 0 pd _ _ _
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+1 z z prep prep gen|nwok 0 adjunct _ _ _
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+1 najlepszych dobry adj adj pl|gen|f|sup 0 adjunct _ _ S
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+1 wód wóda subst subst pl|gen|f 0 comp _ _ A
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+1 toaletowych toaletowy adj adj pl|gen|f|pos 0 adjunct _ _ _
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+1 na na prep prep loc 0 adjunct _ _ _
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+1 rynku rynek subst subst sg|loc|m3 0 comp _ _ _
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+1 światowym światowy adj adj sg|loc|m3|pos 0 adjunct _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Dobra dobry adj adj sg|nom|f|pos 0 adjunct _ _ S
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+1 cena cena subst subst sg|nom|f 0 pred _ _ A
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+1 za za prep prep acc 0 adjunct _ _ _
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+1 fiolkę fiolka subst subst sg|acc|f 0 comp _ _ _
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+1 125 125 tnum tnum integer 0 adjunct _ _ _
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+1 ml ml subst subst sg|nom|m3 0 conjunct _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Na na prep prep loc 0 pred _ _ _
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+1 pasku pasek subst subst sg|loc|m3 0 comp _ _ _
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+1 zapach zapach subst subst sg|nom|m3 0 subj _ _ _
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+1 wyraźnie wyraźnie adv adv pos 0 adjunct _ _ _
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+1 cytrusowy cytrusowy adj adj sg|nom|m3|pos 0 adjunct _ _ _
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+1 , , interp interp _ 0 punct _ _ _
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+1 na na prep prep loc 0 adjunct _ _ _
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+1 skórze skóra subst subst sg|loc|f 0 comp _ _ _
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+1 inaczej inaczej qub qub _ 0 adjunct _ _ _
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+1 , , interp interp _ 0 punct _ _ _
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+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
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+1 świeżo świeżo adv adv pos 0 adjunct _ _ _
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+1 i i conj conj _ 0 comp_fin _ _ _
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+1 z z prep prep inst|nwok 0 conjunct _ _ _
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+1 wyraźną wyraźny adj adj sg|inst|f|pos 0 adjunct _ _ S
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+1 pieprzową pieprzowy adj adj sg|inst|f|pos 0 adjunct _ _ _
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+1 nutą nuta subst subst sg|inst|f 0 comp _ _ A
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+1 . . interp interp _ 0 punct _ _ _
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+1 Jest być fin fin sg|ter|imperf 0 aux _ _ _
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+1 to to pred pred _ 0 pred _ _ _
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+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
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+1 ekskluzywny ekskluzywny adj adj sg|acc|m3|pos 0 adjunct _ _ S
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+1 produkt produkt subst subst sg|nom|m3 0 subj _ _ A
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+1 . . interp interp _ 0 punct _ _ _
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+1 Jako jako conj conj _ 0 coord _ _ _
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+1 nowość nowość subst subst sg|nom|f 0 app _ _ _
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+1 idealny idealny adj adj sg|nom|m1|pos 0 adjunct _ _ S
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+1 na na prep prep acc 0 adjunct _ _ _
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+1 prezent prezent subst subst sg|acc|m3 0 comp _ _ A
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+1 . . interp interp _ 0 punct _ _ _
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+1 Firma firma subst subst sg|nom|f 0 subj _ _ _
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+1 ta ten adj adj sg|nom|f|pos 0 adjunct _ _ _
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+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
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+1 uznaną uznany adj adj sg|acc|f|pos 0 adjunct _ _ S
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+1 markę marka subst subst sg|acc|f 0 comp _ _ A
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+1 w w prep prep loc|nwok 0 adjunct _ _ _
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+1 świecie świat subst subst sg|loc|m3 0 comp _ _ _
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+1 perfum perfumy subst subst pl|gen|n 0 adjunct _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Z z prep prep gen|nwok 0 adjunct _ _ _
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+1 jednej jeden adj adj sg|gen|f|pos 0 adjunct _ _ _
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+1 strony strona subst subst sg|gen|f 0 comp _ _ _
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+1 pachnie pachnąć fin fin sg|ter|imperf 0 pred _ _ _
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+1 starym stary adj adj sg|inst|m3|pos 0 adjunct _ _ _
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+1 klasztorem klasztor subst subst sg|inst|m3 0 pd _ _ _
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+1 ( ( interp interp _ 0 coord_punct _ _ _
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+1 męskim męski adj adj sg|inst|m3|pos 0 pd _ _ _
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+1 : : interp interp _ 0 adjunct _ _ _
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+1 - - interp interp _ 0 punct _ _ _
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+1 ) ) interp interp _ 0 punct _ _ _
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+1 , , interp interp _ 0 punct _ _ _
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+1 a a conj conj _ 0 comp_fin _ _ _
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+1 z z prep prep gen|nwok 0 adjunct _ _ _
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+1 drugiej drugi adj adj sg|gen|f|pos 0 comp _ _ _
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+1 ma mieć fin fin sg|ter|imperf 0 conjunct _ _ _
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+1 coś coś subst subst sg|acc|n 0 comp _ _ _
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+1 z z prep prep gen|nwok 0 adjunct _ _ _
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+1 dzikiego dziki adj adj sg|gen|m3|pos 0 adjunct _ _ _
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+1 zachodu zachód subst subst sg|gen|m3 0 comp _ _ _
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+1 , , interp interp _ 0 conjunct _ _ _
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+1 kolor kolor subst subst sg|nom|m3 0 subj _ _ A
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+1 przypominający przypominać pact pact sg|nom|m3|imperf|aff 0 adjunct _ _ _
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+1 whiskey whiskey subst subst sg|nom|m1 0 pd _ _ _
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+1 nie nie qub qub _ 0 neg _ _ _
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+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
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+1 tu tu qub qub _ 0 adjunct _ _ _
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+1 przypadkowy przypadkowy adj adj sg|nom|m1|pos 0 pd _ _ S
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+1 . . interp interp _ 0 punct _ _ _
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+1 Lacoste lacosty adj adj pl|nom|m3|pos 0 adjunct _ _ _
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+1 Pour pour subst subst sg|nom|m2 0 subj _ _ _
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+1 Homme hommój adj adj sg|nom|n|pos 0 adjunct _ _ _
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+1 to to pred pred _ 0 pred _ _ _
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+1 najlepsza dobry adj adj sg|nom|f|sup 0 adjunct _ _ S
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+1 perfuma perfuma subst subst sg|nom|f 0 subj _ _ A
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+1 jakiej jaki adj adj sg|gen|f|pos 0 adjunct _ _ _
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+1 dotąd dotąd qub qub _ 0 adjunct _ _ _
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+1 używał używać praet praet sg|m1|imperf 0 aux _ _ _
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+1 em być aglt aglt sg|pri|imperf|wok 0 aglt _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Woda woda subst subst sg|nom|f 0 subj _ _ A
+
+1 dobra dobro subst subst sg|gen|n 0 adjunct _ _ S
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
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+1 nie nie qub qub _ 0 pd _ _ _
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+1 tylko tylko qub qub _ 0 adjunct _ _ _
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+1 w w prep prep loc|nwok 0 adjunct _ _ _
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+1 użyciu użyć ger ger sg|loc|n|perf|aff 0 comp _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
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+1 długo długo adv adv pos 0 adjunct _ _ _
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+1 utrzymuje utrzymywać fin fin sg|ter|imperf 0 conjunct _ _ _
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+1 się się qub qub _ 0 refl _ _ _
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+1 , , interp interp _ 0 coord_punct _ _ _
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+1 podobno podobno adv adv pos 0 adjunct _ _ _
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+1 są być fin fin pl|ter|imperf 0 conjunct _ _ _
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+1 wydajne wydajny adj adj pl|nom|n|pos 0 adjunct _ _ S
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+1 tak tak qub qub _ 0 conjunct _ _ _
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+1 jak jak conj conj _ 0 pd _ _ _
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+1 każde każdy adj adj sg|nom|n|pos 0 adjunct _ _ _
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+1 perfumy perfumy subst subst pl|nom|n 0 conjunct _ _ A
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+1 od od prep prep gen|nwok 0 adjunct _ _ _
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+1 Versace versaka subst subst sg|dat|f 0 comp _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Jest być fin fin sg|ter|imperf 0 pred _ _ _
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+1 on on ppron3 ppron3 sg|nom|m1|ter|akc|praep 0 subj _ _ _
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+1 warty warta subst subst sg|gen|f 0 obj _ _ _
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+1 swojej swój adj adj sg|gen|f|pos 0 adjunct _ _ _
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+1 dość dość qub qub _ 0 adjunct _ _ _
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+1 sporej spory adj adj sg|gen|f|pos 0 adjunct _ _ S
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+1 ceny cena subst subst sg|gen|f 0 adjunct _ _ A
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+1 . . interp interp _ 0 punct _ _ _
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+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
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+1 fajny fajny adj adj sg|nom|m3|pos 0 adjunct _ _ S
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+1 desing desing subst subst sg|acc|m3 0 pred _ _ A
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+1 butelki butelka subst subst sg|gen|f 0 adjunct _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Liść liść subst subst sg|nom|m3 0 subj _ _ _
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+1 pomidora pomidor subst subst sg|gen|m3 0 conjunct _ _ _
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+1 i i conj conj _ 0 adjunct _ _ _
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+1 cytrusy cytrus subst subst pl|nom|m3 0 conjunct _ _ _
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+1 nadają nadawać fin fin pl|ter|imperf 0 conjunct _ _ _
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+1 mu on ppron3 ppron3 sg|dat|m1|ter|nakc|npraep 0 obj_th _ _ _
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+1 niepowtarzalnego niepowtarzalny adj adj sg|gen|m3|pos 0 adjunct _ _ S
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+1 charakteru charakter subst subst sg|gen|m3 0 obj _ _ A
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+1 i i conj conj _ 0 coord _ _ _
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+1 dają dawać fin fin pl|ter|imperf 0 conjunct _ _ _
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+1 uczucie uczuć ger ger sg|acc|n|perf|aff 0 obj _ _ _
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+1 świeżości świeżość subst subst sg|gen|f 0 adjunct _ _ _
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+1 na na prep prep acc 0 adjunct _ _ _
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+1 dłużej długo adv adv comp 0 mwe _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Zapach zapach subst subst sg|nom|m3 0 subj _ _ _
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+1 kojarzy kojarzyć fin fin sg|ter|imperf 0 pred _ _ _
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+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
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+1 się się qub qub _ 0 refl _ _ _
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+1 z z prep prep inst|nwok 0 comp _ _ _
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+1 łąką łąka subst subst sg|inst|f 0 conjunct _ _ _
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+1 , , interp interp _ 0 coord_punct _ _ _
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+1 świeżą świeży adj adj sg|inst|f|pos 0 adjunct _ _ S
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+1 trawą trawa subst subst sg|inst|f 0 conjunct _ _ A
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+1 i i conj conj _ 0 comp _ _ _
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+1 lasem las subst subst sg|inst|m3 0 conjunct _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Lacoste lacosty adj adj pl|nom|m3|pos 0 adjunct _ _ _
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+1 Essential essentiala subst subst pl|gen|f 0 adjunct _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
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+1 świetny świetny adj adj sg|acc|m3|pos 0 adjunct _ _ S
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+1 wybór wybór subst subst sg|nom|m3 0 subj _ _ A
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+1 na na prep prep acc 0 adjunct _ _ _
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+1 każdego każdy adj adj sg|gen|m3|pos 0 adjunct _ _ _
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+1 rodzaju rodzaj subst subst sg|gen|m3 0 comp _ _ _
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+1 prezent prezent subst subst sg|nom|m3 0 app _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Lacoste lacosty adj adj pl|nom|m3|pos 0 adjunct _ _ _
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+1 Essential essentiala subst subst pl|gen|f 0 adjunct _ _ _
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+1 to to pred pred _ 0 pred _ _ _
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+1 świetny świetny adj adj sg|acc|m3|pos 0 adjunct _ _ S
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+1 wybór wybór subst subst sg|nom|m3 0 subj _ _ _
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+1 na na prep prep acc 0 adjunct _ _ _
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+1 każdego każdy adj adj sg|gen|m3|pos 0 adjunct _ _ _
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+1 rodzaju rodzaj subst subst sg|gen|m3 0 comp _ _ _
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+1 prezent prezent subst subst sg|nom|m3 0 app _ _ A
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+1 . . interp interp _ 0 punct _ _ _
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+1 Zapach zapach subst subst sg|nom|m3 0 subj _ _ _
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+1 takiego taki adj adj sg|gen|m3|pos 0 adjunct _ _ _
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+1 " " interp interp _ 0 coord_punct _ _ _
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+1 Słodkiego słodki adj adj sg|gen|m3|pos 0 adjunct _ _ S
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+1 Jabuszka jabuszek subst subst sg|gen|m3 0 conjunct _ _ A
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+1 " " interp interp _ 0 punct _ _ _
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+1 , , interp interp _ 0 punct _ _ _
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+1 chodź chodzić impt impt sg|sec|imperf 0 aux _ _ _
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+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
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+1 spotykany spotykać ppas ppas sg|acc|m3|imperf|aff 0 pred _ _ _
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+1 na na prep prep loc 0 adjunct _ _ _
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+1 ulicy ulica subst subst sg|loc|f 0 comp _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
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+1 ładne ładny adj adj pl|nom|n|pos 0 adjunct _ _ S
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+1 perfumy perfumy subst subst pl|nom|n 0 pred _ _ A
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+1 marki marka subst subst sg|gen|f 0 adjunct _ _ _
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+1 Lacoste lacosty adj adj pl|acc|f|pos 0 adjunct _ _ _
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+1 wydane wydać ppas ppas pl|acc|f|perf|aff 0 adjunct _ _ _
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+1 w w prep prep loc|nwok 0 adjunct _ _ _
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+1 2005 2005 tnum tnum integer 0 adjunct _ _ _
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+1 roku rok subst subst sg|loc|m3 0 comp _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Flakon flakon subst subst sg|nom|m3 0 subj _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
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+1 prosty prosty adj adj sg|nom|m3|pos 0 conjunct _ _ _
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+1 , , interp interp _ 0 adjunct _ _ _
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+1 klasyczny klasyczny adj adj sg|nom|m3|pos 0 conjunct _ _ S
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+1 wygląd wygląd subst subst sg|acc|m3 0 comp _ _ A
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+1 . . interp interp _ 0 punct _ _ _
+
+1 6 6 tnum tnum integer 0 comp _ _ _
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+1 dostają dostawać fin fin pl|ter|imperf 0 adjunct _ _ _
+
+1 za za prep prep acc 0 comp _ _ _
+
+1 to to subst subst sg|acc|n 0 comp _ _ _
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+1 ze z prep prep gen|wok 0 comp _ _ _
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+1 podobają podobać fin fin pl|ter|imperf 0 conjunct _ _ _
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+1 się się qub qub _ 0 refl _ _ _
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+1 kobieta kobieta subst subst sg|nom|f 0 subj _ _ _
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+1 a a conj conj _ 0 coord _ _ _
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+1 7 7 tnum tnum integer 0 conjunct _ _ _
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+1 za za prep prep inst 0 adjunct _ _ _
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+1 swoja swój adj adj sg|nom|f|pos 0 adjunct _ _ _
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+1 atrakcyjna atrakcyjny adj adj sg|nom|f|pos 0 adjunct _ _ S
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+1 cenę cena subst subst sg|acc|f 0 comp _ _ A
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+1 . . interp interp _ 0 punct _ _ _
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+1 Woda woda subst subst sg|nom|f 0 pred _ _ _
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+1 w w prep prep loc|nwok 0 conjunct _ _ _
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+1 przystępnej przystępny adj adj sg|loc|f|pos 0 adjunct _ _ S
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+1 cenie cena subst subst sg|loc|f 0 comp _ _ A
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+1 jak jak conj conj _ 0 adjunct _ _ _
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+1 na na prep prep acc 0 adjunct _ _ _
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+1 tak tak qub qub _ 0 adjunct _ _ _
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+1 dużą duży adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 pojemność pojemność subst subst sg|acc|f 0 comp _ _ _
+
+1 butelki butelka subst subst sg|gen|f 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Są być fin fin pl|ter|imperf 0 pred _ _ _
+
+1 to to subst subst sg|acc|n 0 obj _ _ _
+
+1 jedne jeden adj adj pl|nom|f|pos 0 adjunct _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 najładniejszych ładny adj adj pl|gen|n|sup 0 adjunct _ _ S
+
+1 perfum perfumy subst subst pl|gen|n 0 comp _ _ A
+
+1 jakie jaki adj adj pl|nom|m3|pos 0 adjunct _ _ _
+
+1 kiedykolwiek kiedykolwiek qub qub _ 0 adjunct _ _ _
+
+1 miałem miał subst subst sg|inst|m3 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Lacoste lacosty adj adj pl|nom|m3|pos 0 adjunct _ _ _
+
+1 Red reda subst subst pl|gen|f 0 pd _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 fajna fajny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 woda woda subst subst sg|nom|f 0 subj _ _ A
+
+1 toaletowa toaletowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mężczyzn mężczyzna subst subst pl|gen|m1 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Trwały trwały adj adj sg|nom|m1|pos 0 subj _ _ S
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 ubraniach ubranie subst subst pl|loc|n 0 comp _ _ A
+
+1 utrzymuje utrzymywać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 si si xxx xxx _ 0 comp _ _ _
+
+1 kilka kilka num num pl|nom|m3|rec 0 subj _ _ _
+
+1 dni dzień subst subst pl|gen|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Flakonik flakonik subst subst sg|nom|m3 0 subj _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 poręczny poręczny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 pojemny pojemny adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 kształt kształt subst subst sg|acc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Różnorodne różnorodny adj adj pl|nom|f|pos 0 adjunct _ _ S
+
+1 pojemności pojemność subst subst pl|nom|f 0 conjunct _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 ceny cena subst subst pl|nom|f 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 często często adv adv pos 0 adjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 zestawach zestaw subst subst pl|loc|m3 0 comp _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 antyperspirantem antyperspirant subst subst sg|inst|m1 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Różnorodne różnorodny adj adj pl|nom|f|pos 0 adjunct _ _ S
+
+1 pojemności pojemność subst subst pl|nom|f 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 ceny cena subst subst pl|nom|f 0 conjunct _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 często często adv adv pos 0 adjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 zestawach zestaw subst subst pl|loc|m3 0 comp _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 antyperspirantem antyperspirant subst subst sg|inst|m1 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 duża duży adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 buteleczka buteleczka subst subst sg|nom|f 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 fajny fajny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 kształt kształt subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mają mieć fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 naprawdę naprawdę qub qub _ 0 adjunct _ _ _
+
+1 dobre dobry adj adj pl|nom|n|pos 0 adjunct _ _ S
+
+1 perfumy perfumy subst subst pl|nom|n 0 subj _ _ A
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 szczególnie szczególnie adv adv pos 0 adjunct _ _ _
+
+1 zapachy zapach subst subst pl|nom|m3 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zachęcam zachęcać fin fin sg|pri|imperf 0 conjunct _ _ S
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 kupna kupno subst subst sg|gen|n 0 comp _ _ A
+
+1 wody woda subst subst sg|gen|f 0 adjunct _ _ _
+
+1 toaletowej toaletowy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 Lacoste lacosty adj adj pl|nom|m3|pos 0 subj _ _ _
+
+1 Essential"Mam Essential"Mam tsym tsym _ 0 adjunct _ _ _
+
+1 tą ten adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 wodę woda subst subst sg|acc|f 0 conjunct _ _ _
+
+1 już już qub qub _ 0 adjunct _ _ _
+
+1 3 3 tnum tnum integer 0 adjunct _ _ _
+
+1 raz raz subst subst sg|acc|m3 0 app _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 jestem być fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 z z prep prep gen|nwok 0 comp _ _ _
+
+1 niej on ppron3 ppron3 sg|gen|f|ter|akc|praep 0 comp _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 zadowolony zadowolony adj adj sg|nom|m1|pos 0 pd _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zachęcam zachęcać fin fin sg|pri|imperf 0 conjunct _ _ S
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 kupna kupno subst subst sg|gen|n 0 comp _ _ _
+
+1 wody woda subst subst sg|gen|f 0 adjunct _ _ A
+
+1 toaletowej toaletowy adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 " " interp interp _ 0 punct _ _ _
+
+1 Lacoste lacosty adj adj pl|nom|m3|pos 0 subj _ _ _
+
+1 Essential"Mam Essential"Mam tsym tsym _ 0 adjunct _ _ _
+
+1 tą ten adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 wodę woda subst subst sg|acc|f 0 conjunct _ _ _
+
+1 już już qub qub _ 0 adjunct _ _ _
+
+1 3 3 tnum tnum integer 0 adjunct _ _ _
+
+1 raz raz subst subst sg|acc|m3 0 app _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 jestem być fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 z z prep prep gen|nwok 0 comp _ _ _
+
+1 niej on ppron3 ppron3 sg|gen|f|ter|akc|praep 0 comp _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 zadowolony zadowolony adj adj sg|nom|m1|pos 0 pd _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Gdyby gdyby conj conj _ 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 promocja promocja subst subst sg|nom|f 0 subj _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 pewnie pewnie adv adv pos 0 adjunct _ _ _
+
+1 nigdy nigdy qub qub _ 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 kupił kupić praet praet sg|m1|imperf 0 pred _ _ _
+
+1 by by qub qub _ 0 cond _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 tej ten adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 wody woda subst subst sg|gen|f 0 obj _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ze z prep prep gen|wok 0 adjunct _ _ _
+
+1 względu wzgląd subst subst sg|gen|m3 0 comp _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 wysoką wysoki adj adj sg|acc|f|pos 0 adjunct _ _ S
+
+1 cenę cena subst subst sg|acc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Woda woda subst subst sg|nom|f 0 pred _ _ _
+
+1 perfumowana perfumować ppas ppas sg|nom|f|imperf|aff 0 adjunct _ _ _
+
+1 Chanel chanela subst subst pl|gen|f 0 adjunct _ _ _
+
+1 No no qub qub _ 0 adjunct _ _ _
+
+1 5 5 tnum tnum integer 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 przereklamowanym przereklamować ppas ppas sg|inst|m3|perf|aff 0 adjunct _ _ S
+
+1 produktem produkt subst subst sg|inst|m3 0 pd _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 produkt produkt subst subst sg|nom|m3 0 pred _ _ A
+
+1 godny godny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 polecenia polecić ger ger sg|gen|n|perf|aff 0 adjunct _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 każdego każdy adj adj sg|gen|m1|pos 0 adjunct _ _ _
+
+1 mężczyzny mężczyzna subst subst sg|gen|m1 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 woda woda subst subst sg|nom|f 0 subj _ _ _
+
+1 toaletowa toaletowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 znanej znany adj adj sg|gen|f|pos 0 adjunct _ _ S
+
+1 marki marka subst subst sg|gen|f 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Klasyczna klasyczny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 nuta nuta subst subst sg|nom|f 0 pred _ _ A
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 lekką lekki adj adj sg|inst|f|pos 0 adjunct _ _ _
+
+1 dozą doza subst subst sg|inst|f 0 comp _ _ _
+
+1 świeżości świeżość subst subst sg|gen|f 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Doszedł dojść praet praet sg|m1|perf 0 pred _ _ _
+
+1 em być aglt aglt sg|pri|imperf|wok 0 aglt _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 comp_fin _ _ _
+
+1 Davidoff davidoff subst subst sg|nom|m3 0 conjunct _ _ _
+
+1 jedna jeden adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 lepszych dobry adj adj pl|gen|f|comp 0 adjunct _ _ S
+
+1 marek marka subst subst pl|gen|f 0 comp _ _ A
+
+1 perfum perfumy subst subst pl|gen|n 0 adjunct _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 rynku rynek subst subst sg|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Doszedł dojść praet praet sg|m1|perf 0 pred _ _ _
+
+1 em być aglt aglt sg|pri|imperf|wok 0 aglt _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 comp_fin _ _ _
+
+1 Davidoff davidoff subst subst sg|nom|m3 0 conjunct _ _ _
+
+1 jedna jeden adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 lepszych dobry adj adj pl|gen|f|comp 0 adjunct _ _ S
+
+1 marek marka subst subst pl|gen|f 0 comp _ _ _
+
+1 perfum perfumy subst subst pl|gen|n 0 adjunct _ _ A
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 rynku rynek subst subst sg|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 W w prep prep loc|nwok 0 adjunct _ _ _
+
+1 moim mój adj adj sg|loc|m3|pos 0 adjunct _ _ _
+
+1 przypadku przypadek subst subst sg|loc|m3 0 comp _ _ _
+
+1 był być praet praet sg|m1|imperf 0 pred _ _ _
+
+1 to to subst subst sg|acc|n 0 obj _ _ _
+
+1 jeden jeden adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 tak tak qub qub _ 0 adjunct _ _ _
+
+1 zwanych zwać ppas ppas pl|gen|m3|imperf|aff 0 adjunct _ _ _
+
+1 nieudanych nieudany adj adj pl|gen|m3|pos 0 adjunct _ _ S
+
+1 prezentów prezent subst subst pl|gen|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 znane znany adj adj pl|nom|n|pos 0 adjunct _ _ S
+
+1 perfumy perfumy subst subst pl|acc|n 0 pred _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 nad nad prep prep inst|nwok 0 comp _ _ _
+
+1 którymi który adj adj pl|inst|n|pos 0 comp _ _ _
+
+1 tak tak qub qub _ 0 adjunct _ _ _
+
+1 dużo dużo num num pl|acc|m1|rec 0 adjunct _ _ _
+
+1 osób osoba subst subst pl|gen|f 0 comp _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 zachwyca zachwycać fin fin sg|ter|imperf 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jeden jeden adj adj sg|nom|m1|pos 0 pred _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 najlepszych dobry adj adj pl|gen|n|sup 0 adjunct _ _ S
+
+1 perfum perfumy subst subst pl|gen|n 0 comp _ _ A
+
+1 męskich męski adj adj pl|gen|n|pos 0 adjunct _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 jakimi jaki adj adj pl|inst|f|pos 0 adjunct _ _ _
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 tej ten adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 pory pora subst subst sg|gen|f 0 comp _ _ _
+
+1 miałem miał subst subst sg|inst|m3 0 comp _ _ _
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 czynienia czynić ger ger sg|gen|n|imperf|aff 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealny idealny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 prezent prezent subst subst sg|nom|m3 0 pred _ _ A
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 faceta facet subst subst sg|gen|m1 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mojemu mój adj adj sg|dat|m1|pos 0 adjunct _ _ _
+
+1 chłopakowi chłopak subst subst sg|dat|m1 0 obj_th _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 podobał podobać praet praet sg|m1|imperf 0 pred _ _ _
+
+1 mimo mimo prep prep gen 0 adjunct _ _ _
+
+1 dosyć dosyć pred pred _ 0 punct _ _ _
+
+1 wysokiej wysoki adj adj sg|gen|f|pos 0 adjunct _ _ S
+
+1 ceny cena subst subst sg|gen|f 0 adjunct _ _ A
+
+1 zamierzam zamierzać fin fin sg|pri|imperf 0 comp_fin _ _ _
+
+1 kupić kupić inf inf imperf 0 comp_inf _ _ _
+
+1 mu on ppron3 ppron3 sg|dat|m1|ter|nakc|npraep 0 obj_th _ _ _
+
+1 go on ppron3 ppron3 sg|gen|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 ponownie ponownie adv adv pos 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Klasyczna klasyczny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 woda woda subst subst sg|nom|f 0 pred _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 która który adj adj sg|nom|f|pos 0 subj _ _ _
+
+1 już już qub qub _ 0 adjunct _ _ _
+
+1 dawno dawno adv adv pos 0 adjunct _ _ _
+
+1 wpisała wpisać praet praet sg|f|perf 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 kanonu kanon subst subst sg|gen|m3 0 comp _ _ _
+
+1 zapachów zapach subst subst pl|gen|m3 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 6 6 tnum tnum integer 0 conjunct _ _ _
+
+1 Bottled bottled subst subst sg|nom|m3 0 comp _ _ _
+
+1 wodę woda subst subst sg|acc|f 0 app _ _ _
+
+1 toaletową toaletowy adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 ponieważ ponieważ conj conj _ 0 coord _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 to to pred pred _ 0 conjunct _ _ _
+
+1 dobry dobry adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 produkt produkt subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 i i conj conj _ 0 subj _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 za za prep prep acc 0 conjunct _ _ _
+
+1 drogi droga subst subst pl|acc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cena cena subst subst sg|nom|f 0 subj _ _ _
+
+1 jak jak conj conj _ 0 adjunct _ _ _
+
+1 za za prep prep acc 0 adjunct _ _ _
+
+1 oryginalne oryginalny adj adj pl|acc|n|pos 0 adjunct _ _ S
+
+1 perfumy perfumy subst subst pl|acc|n 0 comp _ _ A
+
+1 wydaję wydawać fin fin sg|pri|imperf 0 pred _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 być być inf inf imperf 0 comp_inf _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 wygórowana wygórowany adj adj sg|nom|f|pos 0 pd _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Tak tak qub qub _ 0 adjunct _ _ _
+
+1 pachnący pachnąć pact pact sg|nom|m1|imperf|aff 0 adjunct _ _ _
+
+1 facet facet subst subst sg|nom|m1 0 subj _ _ _
+
+1 robi robić fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 wrażenie wrażenie subst subst sg|acc|n 0 obj _ _ _
+
+1 prawdziwego prawdziwy adj adj sg|gen|m2|pos 0 adjunct _ _ S
+
+1 samca samiec subst subst sg|gen|m2 0 adjunct _ _ A
+
+1 który który adj adj sg|nom|m1|pos 0 adjunct _ _ _
+
+1 wie wiedzieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 czego co subst subst sg|gen|n 0 comp _ _ _
+
+1 chce chcieć fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Przepiękne przepiękny adj adj pl|nom|n|pos 0 adjunct _ _ S
+
+1 perfumy perfumy subst subst pl|acc|n 0 pred _ _ A
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 mężczyzny mężczyzna subst subst sg|gen|m1 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dostała dostać praet praet sg|f|perf 0 conjunct _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 je on ppron3 ppron3 pl|acc|f|ter|akc|npraep 0 obj _ _ _
+
+1 dawno dawno adv adv pos 0 adjunct _ _ _
+
+1 temu to subst subst sg|dat|n 0 obj_th _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 rzadko rzadko adv adv pos 0 adjunct _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 nich on ppron3 ppron3 pl|gen|f|ter|nakc|praep 0 comp _ _ _
+
+1 sięgam sięgać fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 ( ( interp interp _ 0 punct _ _ _
+
+1 chyba chyba qub qub _ 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 subord _ _ _
+
+1 mam mieć fin fin sg|pri|imperf 0 comp_fin _ _ _
+
+1 silny silny adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 katar katar subst subst sg|nom|m1 0 comp _ _ A
+
+1 ) ) interp interp _ 0 punct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 to to conj conj _ 0 coord _ _ _
+
+1 jedna jeden adj adj sg|nom|f|pos 0 conjunct _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 najlepszych dobry adj adj pl|gen|f|sup 0 adjunct _ _ S
+
+1 obecnie obecnie adv adv pos 0 adjunct _ _ _
+
+1 wód wóda subst subst pl|gen|f 0 comp _ _ A
+
+1 toaletowych toaletowy adj adj pl|gen|f|pos 0 adjunct _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 rynku rynek subst subst sg|loc|m3 0 comp _ _ _
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+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
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+1 się się qub qub _ 0 refl _ _ _
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+1 design design subst subst sg|acc|m3 0 obj _ _ A
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+1 na na prep prep acc 0 comp _ _ _
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+1 spotkania spotkanie subst subst pl|acc|n 0 comp _ _ A
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+1 To to subst subst sg|nom|n 0 subj _ _ _
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+1 znana znany adj adj sg|nom|f|pos 0 adjunct _ _ S
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+1 tym to subst subst sg|inst|n 0 comp _ _ _
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+1 , , interp interp _ 0 punct _ _ _
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+1 wiele wiele num num pl|nom|f|rec 0 pred _ _ _
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+1 wiedzą wiedzieć fin fin pl|ter|imperf 0 pred _ _ _
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+1 że że conj conj _ 0 adjunct _ _ _
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+1 Chanel chanela subst subst pl|gen|f 0 obj _ _ _
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+1 Polecam polecać fin fin sg|pri|imperf 0 pred _ _ S
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+1 Dior dior subst subst sg|acc|m3 0 app _ _ A
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+1 Cherie-rewelacja cherie-rewelacja subst subst sg|nom|f 0 app _ _ _
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+1 Flakon flakon subst subst sg|nom|m3 0 subj _ _ _
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+1 robi robić fin fin sg|ter|imperf 0 pred _ _ _
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+1 ) ) interp interp _ 0 punct _ _ _
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+1 Perfumka perfumka subst subst sg|nom|f 0 subj _ _ _
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+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
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+1 na na prep prep acc 0 comp _ _ _
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+1 urodziny urodziny subst subst pl|acc|n 0 comp _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Może móc fin fin sg|ter|imperf 0 pred _ _ _
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+1 być być inf inf imperf 0 comp_inf _ _ _
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+1 też też qub qub _ 0 adjunct _ _ _
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+1 zapachów zapach subst subst pl|gen|m3 0 comp _ _ _
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+1 kształtem kształt subst subst sg|inst|m3 0 app _ _ _
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+1 zachwyca zachwycać fin fin sg|ter|imperf 0 conjunct _ _ _
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+1 ale ale conj conj _ 0 coord _ _ _
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+1 kolor kolor subst subst sg|nom|m3 0 subj _ _ _
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+1 przynosi przynosić fin fin sg|ter|imperf 0 conjunct _ _ _
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+1 jakieś jakiś adj adj pl|acc|n|pos 0 adjunct _ _ _
+
+1 niepokojące niepokojący adj adj pl|acc|n|pos 0 adjunct _ _ S
+
+1 odczucia odczucie subst subst pl|acc|n 0 obj _ _ A
+
+1 ( ( interp interp _ 0 conjunct _ _ _
+
+1 ciągle ciągle adv adv pos 0 adjunct _ _ _
+
+1 mam mieć fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 przed przed prep prep inst|nwok 0 comp _ _ _
+
+1 oczami oko subst subst pl|inst|n 0 comp _ _ _
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+1 zachód zachód subst subst sg|acc|m3 0 obj _ _ _
+
+1 słońca słońce subst subst sg|gen|n 0 adjunct _ _ _
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+1 ) ) interp interp _ 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
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+1 Dune duny adj adj sg|acc|n|pos 0 obj _ _ _
+
+1 kojarzy kojarzyć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 mi ja ppron12 ppron12 sg|dat|f|pri|nakc 0 obj_th _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 z z prep prep inst|nwok 0 comp _ _ _
+
+1 dojrzałą dojrzały adj adj sg|inst|f|pos 0 adjunct _ _ S
+
+1 klasyką klasyka subst subst sg|inst|f 0 conjunct _ _ A
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 elegancją elegancja subst subst sg|inst|f 0 conjunct _ _ _
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+1 . . interp interp _ 0 punct _ _ _
+
+1 Bo bo conj conj _ 0 adjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
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+1 końcu koniec subst subst sg|loc|m3 0 comp _ _ _
+
+1 pochodzą pochodzić fin fin pl|ter|imperf 0 conjunct _ _ _
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+1 z z prep prep gen|nwok 0 comp _ _ _
+
+1 jednego jeden adj adj sg|gen|m3|pos 0 comp _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 najlepszych dobry adj adj pl|gen|m3|sup 0 adjunct _ _ S
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+1 domów dom subst subst pl|gen|m3 0 comp _ _ _
+
+1 mody moda subst subst sg|gen|f 0 adjunct _ _ A
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+1 , , interp interp _ 0 punct _ _ _
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+1 a a conj conj _ 0 coord _ _ _
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+1 mianowicie mianowicie qub qub _ 0 adjunct _ _ _
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+1 Versace versac subst subst pl|nom|m3 0 conjunct _ _ _
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+1 i i conj conj _ 0 conjunct _ _ _
+
+1 zostały zostać praet praet pl|f|perf 0 conjunct _ _ _
+
+1 wylansowanie wylansować ger ger sg|acc|n|perf|aff 0 obj _ _ _
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+1 przez przez prep prep acc|nwok 0 comp _ _ _
+
+1 samą sam adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 Donatellę donatella subst subst sg|acc|f 0 comp _ _ _
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+1 , , interp interp _ 0 conjunct _ _ _
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+1 właścicielkę właścicielka subst subst sg|acc|f 0 conjunct _ _ _
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+1 ww wwa subst subst pl|gen|f 0 adjunct _ _ _
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+1 . . interp interp _ 0 punct _ _ _
+
+1 Jedyny jedyny adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 minus minus subst subst sg|nom|m3 0 pd _ _ S
+
+1 to to pred pred _ 0 pred _ _ _
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+1 kształt kształt subst subst sg|nom|m3 0 subj _ _ A
+
+1 flakonika flakonik subst subst sg|gen|m3 0 adjunct _ _ _
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+1 . . interp interp _ 0 punct _ _ _
+
+1 Szczerze szczerze adv adv pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 to to conj conj _ 0 subord _ _ _
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+1 spodziewała spodziewać praet praet sg|f|imperf 0 pred _ _ _
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+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
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+1 się się qub qub _ 0 refl _ _ _
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+1 wyższej wysoki adj adj sg|gen|f|comp 0 adjunct _ _ S
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+1 ceny cena subst subst sg|gen|f 0 comp _ _ A
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+1 . . interp interp _ 0 punct _ _ _
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+1 Cena cena subst subst sg|nom|f 0 subj _ _ A
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+1 wysoka wysoki adj adj sg|nom|f|pos 0 conjunct _ _ S
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+1 ale ale conj conj _ 0 adjunct _ _ _
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+1 ta ten adj adj sg|nom|f|pos 0 adjunct _ _ _
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+1 marka marka subst subst sg|nom|f 0 app _ _ _
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+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
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+1 tego to subst subst sg|gen|n 0 obj _ _ _
+
+1 warta warta subst subst sg|nom|f 0 subj _ _ _
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Flakon flakon subst subst sg|nom|m3 0 subj _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 prosty prosty adj adj sg|nom|m3|pos 0 conjunct _ _ _
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+1 i i conj conj _ 0 comp _ _ _
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+1 efektowny efektowny adj adj sg|acc|m3|pos 0 adjunct _ _ S
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+1 kształt kształt subst subst sg|acc|m3 0 conjunct _ _ A
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+1 . . interp interp _ 0 punct _ _ _
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+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 kobiece kobiecy adj adj sg|nom|n|pos 0 conjunct _ _ _
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+1 , , interp interp _ 0 coord_punct _ _ _
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+1 luksusowe luksusowy adj adj sg|nom|n|pos 0 conjunct _ _ S
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+1 , , interp interp _ 0 coord_punct _ _ _
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+1 kuszące kusić pact pact pl|nom|f|imperf|aff 0 adjunct _ _ _
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+1 zapachem zapach subst subst sg|inst|m3 0 comp _ _ _
+
+1 perfumy perfumy subst subst pl|acc|n 0 conjunct _ _ A
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+1 . . interp interp _ 0 punct _ _ _
+
+1 To to pred pred _ 0 conjunct _ _ _
+
+1 prawdziwa prawdziwy adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 trucizna trucizna subst subst sg|nom|f 0 subj _ _ A
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+1 , , interp interp _ 0 punct _ _ _
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+1 ale ale conj conj _ 0 coord _ _ _
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+1 nie nie qub qub _ 0 conjunct _ _ _
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+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jednym jeden adj adj sg|inst|m3|pos 0 adjunct _ _ _
+
+1 jedynym jedyny adj adj sg|inst|m3|pos 0 adjunct _ _ _
+
+1 mankamentem mankament subst subst sg|inst|m3 0 pd _ _ _
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+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
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+1 to to subst subst sg|nom|n 0 subj _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 iż iż conj conj _ 0 adjunct _ _ _
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+1 cena cena subst subst sg|nom|f 0 subj _ _ A
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+1 jest być fin fin sg|ter|imperf 0 comp_fin _ _ _
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+1 dosyć dosyć qub qub _ 0 adjunct _ _ _
+
+1 wysoka wysoki adj adj sg|nom|f|pos 0 pd _ _ S
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+1 . . interp interp _ 0 punct _ _ _
+
+1 Miseczki miseczka subst subst pl|nom|f 0 subj _ _ _
+
+1 typu typ subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 push pusha subst subst pl|gen|f 0 adjunct _ _ _
+
+1 up up qub qub _ 0 adjunct _ _ _
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+1 świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 podtrzymują podtrzymywać fin fin pl|ter|imperf 0 pred _ _ _
+
+1 biust biust subst subst sg|acc|m3 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 zrobiony zrobić ppas ppas sg|nom|m3|perf|aff 0 pred _ _ _
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+1 z z prep prep gen|nwok 0 adjunct _ _ _
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+1 dobrych dobry adj adj pl|gen|m3|pos 0 adjunct _ _ S
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+1 materiałów materiał subst subst pl|gen|m3 0 comp _ _ A
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+1 . . interp interp _ 0 punct _ _ _
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+1 Dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 trzyma trzymać fin fin sg|ter|imperf 0 conjunct _ _ _
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+1 biust biust subst subst sg|nom|m3 0 subj _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
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+1 przylega przylegać fin fin sg|ter|imperf 0 conjunct _ _ _
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+1 do do prep prep gen 0 comp _ _ _
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+1 ciała ciało subst subst sg|gen|n 0 comp _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Cena cena subst subst sg|nom|f 0 subj _ _ A
+
+1 tego ten adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 stanika stanik subst subst sg|gen|m3 0 adjunct _ _ _
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+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
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+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 dobra dobro subst subst pl|acc|n 0 obj _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jako jako conj conj _ 0 coord _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 coord _ _ _
+
+1 to to conj conj _ 0 coord _ _ _
+
+1 push-up push-upić impt impt sg|sec|perf 0 pred _ _ _
+
+1 załączone załączyć ppas ppas sg|acc|n|perf|aff 0 obj _ _ _
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+1 są być fin fin pl|ter|imperf 0 aux _ _ _
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+1 do do prep prep gen 0 comp _ _ _
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+1 niego on ppron3 ppron3 sg|gen|m1|ter|akc|praep 0 adjunct _ _ _
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+1 gąbeczki gąbeczka subst subst sg|gen|f 0 conjunct _ _ _
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+1 , , interp interp _ 0 coord_punct _ _ _
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+1 których który adj adj pl|gen|m1|pos 0 conjunct _ _ _
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+1 jednak jednak conj conj _ 0 comp _ _ _
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+1 wcale wcale qub qub _ 0 adjunct _ _ _
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+1 nie nie qub qub _ 0 neg _ _ _
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+1 trzeba trzeba pred pred _ 0 conjunct _ _ _
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+1 wkładać wkładać inf inf imperf 0 pred _ _ _
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+1 : : interp interp _ 0 punct _ _ _
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+1 ) ) interp interp _ 0 punct _ _ _
+
+1 Stanik stanik subst subst sg|nom|m3 0 subj _ _ _
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+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
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+1 usztywniany usztywniać ppas ppas sg|nom|m3|imperf|aff 0 pred _ _ _
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+1 , , interp interp _ 0 punct _ _ _
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+1 z z prep prep gen|nwok 0 adjunct _ _ _
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+1 przyjemnego przyjemny adj adj sg|gen|m3|pos 0 adjunct _ _ S
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+1 materiału materiał subst subst sg|gen|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
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+1 kobiecy kobiecy adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 kolor kolor subst subst sg|acc|m3 0 comp _ _ _
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+1 - - interp interp _ 0 punct _ _ _
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+1 śliczny śliczny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 odcień odcień subst subst sg|nom|m3 0 adjunct _ _ _
+
+1 różu róż subst subst sg|gen|m3 0 adjunct _ _ A
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+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 kobiecy kobiecy adj adj sg|nom|m3|pos 0 adjunct _ _ _
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+1 kolor kolor subst subst sg|acc|m3 0 comp _ _ A
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+1 - - interp interp _ 0 punct _ _ _
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+1 śliczny śliczny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 odcień odcień subst subst sg|nom|m3 0 adjunct _ _ _
+
+1 różu róż subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Kolejny kolejny adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 pred _ _ _
+
+1 firmy firma subst subst sg|gen|f 0 adjunct _ _ _
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+1 Triumph triumpha subst subst pl|gen|f 0 adjunct _ _ _
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+1 , , interp interp _ 0 punct _ _ _
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+1 który który adj adj sg|nom|m3|pos 0 subj _ _ _
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+1 nie nie qub qub _ 0 neg _ _ _
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+1 zawiódł zawieść praet praet sg|m1|perf|nagl 0 conjunct _ _ S
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+1 mnie ja ppron12 ppron12 sg|acc|f|pri|akc 0 obj _ _ _
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 moich mój adj adj pl|gen|n|pos 0 adjunct _ _ _
+
+1 oczekiwań oczekiwanie subst subst pl|gen|n 0 conjunct _ _ A
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+1 . . interp interp _ 0 punct _ _ _
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+1 Doskonały doskonały adj adj sg|nom|m1|pos 0 pred _ _ S
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+1 do do prep prep gen 0 adjunct _ _ _
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+1 noszenia noszenie subst subst sg|gen|n 0 comp _ _ A
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+1 każdego każdy adj adj sg|gen|m3|pos 0 adjunct _ _ _
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+1 dnia dzień subst subst sg|gen|m3 0 adjunct _ _ _
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+1 . . interp interp _ 0 punct _ _ _
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+1 Materiał materiał subst subst sg|nom|m3 0 pred _ _ A
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+1 miękki miękki adj adj sg|nom|m3|pos 0 conjunct _ _ _
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+1 i i conj conj _ 0 adjunct _ _ _
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+1 przyjemny przyjemny adj adj sg|nom|m3|pos 0 conjunct _ _ S
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+1 w w prep prep loc|nwok 0 adjunct _ _ _
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+1 dotyku dotyk subst subst sg|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
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+1 Niespotykany niespotykany adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 kolor kolor subst subst sg|nom|m3 0 subj _ _ A
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
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+1 ładnie ładnie adv adv pos 0 adjunct _ _ _
+
+1 prezentuje prezentować fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 ciele ciało subst subst sg|loc|n 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ _
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
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+1 wykonany wykonać ppas ppas sg|nom|m3|perf|aff 0 pred _ _ _
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+1 z z prep prep gen|nwok 0 adjunct _ _ _
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+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 dobrego dobry adj adj sg|gen|m3|pos 0 adjunct _ _ S
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+1 jakościowo jakościowo adv adv pos 0 adjunct _ _ _
+
+1 materiału materiał subst subst sg|gen|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Stanik stanik subst subst sg|nom|m3 0 pred _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 kolorach kolor subst subst pl|loc|m3 0 conjunct _ _ _
+
+1 złota złoto subst subst sg|gen|n 0 adjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 słonecznej słoneczny adj adj sg|gen|f|pos 0 adjunct _ _ S
+
+1 plaży plaża subst subst sg|gen|f 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Stanik stanik subst subst sg|nom|m3 0 pred _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 kolorach kolor subst subst pl|loc|m3 0 conjunct _ _ A
+
+1 złota złoto subst subst sg|gen|n 0 adjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 słonecznej słoneczny adj adj sg|gen|f|pos 0 adjunct _ _ S
+
+1 plaży plaża subst subst sg|gen|f 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ _
+
+1 został zostać praet praet sg|m3|perf 0 aux _ _ _
+
+1 wykonany wykonać ppas ppas sg|nom|m3|perf|aff 0 pred _ _ _
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+1 z z prep prep gen|nwok 0 adjunct _ _ _
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+1 wygodnego wygodny adj adj sg|gen|m3|pos 0 adjunct _ _ S
+
+1 materiału materiał subst subst sg|gen|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ramiączka ramiączko subst subst pl|nom|n 0 subj _ _ _
+
+1 mają mieć fin fin pl|ter|imperf 0 pred _ _ _
+
+1 odpowiednia odpowiedni adj adj sg|nom|f|pos 0 adjunct _ _ S
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+1 grubość grubość subst subst sg|nom|f 0 subj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 wrzynają wrzynać fin fin pl|ter|imperf 0 comp _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 w w prep prep acc|nwok 0 comp _ _ _
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+1 ramiona ramię subst subst pl|acc|n 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jedynie jedynie adv adv pos 0 adjunct _ _ _
+
+1 cena cena subst subst sg|nom|f 0 subj _ _ A
+
+1 tego ten adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 biustonosza biustonosz subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 zbyt zbyt qub qub _ 0 adjunct _ _ _
+
+1 wysoka wysoki adj adj sg|nom|f|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jednak jednak conj conj _ 0 pre_coord _ _ _
+
+1 cena cena subst subst sg|nom|f 0 conjunct _ _ A
+
+1 troszkę troszkę qub qub _ 0 adjunct _ _ _
+
+1 wysoka wysoki adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
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+1 jak jak conj conj _ 0 coord _ _ _
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+1 na na prep prep acc 0 conjunct _ _ _
+
+1 taki taki adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 krój krój subst subst sg|acc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 przyjemny przyjemny adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 noszenia noszenie subst subst sg|gen|n 0 comp _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 uwiera uwierać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Stanik stanik subst subst sg|nom|m3 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
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+1 w w prep prep loc|nwok 0 comp _ _ _
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+1 ładnym ładny adj adj sg|loc|m3|pos 0 adjunct _ _ S
+
+1 kolorze kolor subst subst sg|loc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 zrobiony zrobić ppas ppas sg|nom|m3|perf|aff 0 pred _ _ _
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+1 z z prep prep gen|nwok 0 adjunct _ _ _
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+1 dobrych dobry adj adj pl|gen|m3|pos 0 adjunct _ _ S
+
+1 materiałów materiał subst subst pl|gen|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 fajny fajny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 fason fason subst subst sg|acc|m3 0 conjunct _ _ _
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+1 i i conj conj _ 0 subj _ _ _
+
+1 kolory kolor subst subst pl|acc|m3 0 conjunct _ _ A
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+1 . . interp interp _ 0 punct _ _ _
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+1 Na na prep prep acc 0 comp _ _ _
+
+1 uwagę uwaga subst subst sg|acc|f 0 comp _ _ A
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+1 zasługują zasługiwać fin fin pl|ter|imperf 0 conjunct _ _ S
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+1 pięknie pięknie adv adv pos 0 adjunct _ _ _
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+1 zdobione zdobić ppas ppas pl|nom|f|imperf|aff 0 adjunct _ _ _
+
+1 miseczki miseczka subst subst pl|nom|f 0 subj _ _ _
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+1 , , interp interp _ 0 punct _ _ _
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+1 seksowne seksowny adj adj sg|acc|n|pos 0 adjunct _ _ _
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+1 wiązanie wiązać ger ger sg|nom|n|imperf|aff 0 adjunct _ _ _
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+1 między między prep prep inst 0 adjunct _ _ _
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+1 nimi on ppron3 ppron3 pl|inst|f|ter|nakc|npraep 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
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+1 ale ale conj conj _ 0 coord _ _ _
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+1 także także qub qub _ 0 adjunct _ _ _
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+1 pozostała pozostać praet praet sg|f|perf 0 conjunct _ _ _
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+1 część część subst subst sg|nom|f 0 subj _ _ _
+
+1 biustonosza biustonosz subst subst sg|gen|m3 0 adjunct _ _ _
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+1 . . interp interp _ 0 punct _ _ _
+
+1 Jednolity jednolity adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 kolor kolor subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 oraz oraz conj conj _ 0 coord _ _ _
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+1 zmysłowe zmysłowy adj adj sg|acc|n|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 haftowane haftować ppas ppas pl|nom|m3|imperf|aff 0 conjunct _ _ _
+
+1 kwiaty kwiat subst subst pl|nom|m3 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 czyli czyli conj conj _ 0 conjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 conjunct _ _ _
+
+1 Gabriella gabriella subst subst sg|nom|f 0 app _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 udany udany adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 model model subst subst sg|nom|m3 0 subj _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 sprawdza sprawdzać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 przy przy prep prep loc 0 adjunct _ _ _
+
+1 większym wielki adj adj sg|loc|m3|comp 0 adjunct _ _ _
+
+1 biuście biust subst subst sg|loc|m3 0 comp _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 utrzymuje utrzymywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 biust biust subst subst sg|nom|m3 0 subj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Tak tak qub qub _ 0 conjunct _ _ _
+
+1 jak jak conj conj _ 0 coord _ _ _
+
+1 pisały pisać praet praet pl|f|imperf 0 conjunct _ _ _
+
+1 już już qub qub _ 0 adjunct _ _ _
+
+1 moje mój adj adj pl|nom|f|pos 0 adjunct _ _ _
+
+1 poprzedniczki poprzedniczka subst subst pl|nom|f 0 subj _ _ _
+
+1 biustonosz biustonosz subst subst sg|acc|m3 0 app _ _ _
+
+1 posiada posiadać fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 szerokie szeroki adj adj pl|acc|n|pos 0 adjunct _ _ S
+
+1 ramiączka ramiączko subst subst pl|acc|n 0 conjunct _ _ A
+
+1 oraz oraz conj conj _ 0 comp _ _ _
+
+1 zapięcie zapięcie subst subst sg|nom|n 0 conjunct _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 trzy trzy num num pl|acc|f|congr 0 comp _ _ _
+
+1 zatrzaski zatrzask subst subst pl|acc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Tak tak qub qub _ 0 conjunct _ _ _
+
+1 jak jak conj conj _ 0 coord _ _ _
+
+1 pisały pisać praet praet pl|f|imperf 0 conjunct _ _ _
+
+1 już już qub qub _ 0 adjunct _ _ _
+
+1 moje mój adj adj pl|nom|f|pos 0 adjunct _ _ _
+
+1 poprzedniczki poprzedniczka subst subst pl|nom|f 0 subj _ _ _
+
+1 biustonosz biustonosz subst subst sg|acc|m3 0 app _ _ _
+
+1 posiada posiadać fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 szerokie szeroki adj adj pl|acc|n|pos 0 adjunct _ _ S
+
+1 ramiączka ramiączko subst subst pl|acc|n 0 conjunct _ _ _
+
+1 oraz oraz conj conj _ 0 comp _ _ _
+
+1 zapięcie zapięcie subst subst sg|nom|n 0 conjunct _ _ A
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 trzy trzy num num pl|acc|f|congr 0 comp _ _ _
+
+1 zatrzaski zatrzask subst subst pl|acc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Kupiła kupić praet praet sg|f|imperf 0 pred _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 z z prep prep inst|nwok 0 comp _ _ _
+
+1 myślą myśl subst subst sg|inst|f 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 adjunct _ _ _
+
+1 włożę włożyć fin fin sg|pri|perf 0 conjunct _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 pod pod prep prep acc|nwok 0 adjunct _ _ _
+
+1 elegancką elegancki adj adj sg|acc|f|pos 0 adjunct _ _ S
+
+1 bluzkę bluzka subst subst sg|acc|f 0 comp _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 Sylwestra sylwester subst subst sg|gen|m3 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 subj _ _ _
+
+1 okazało okazać praet praet sg|n|perf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 conjunct _ _ _
+
+1 doskonale doskonale adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 sprawdza sprawdzać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 codzień codzień subst subst sg|acc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Prezentowany prezentować ppas ppas sg|nom|m3|imperf|aff 0 adjunct _ _ _
+
+1 produkt produkt subst subst sg|nom|m3 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 wykonany wykonać ppas ppas sg|nom|m3|perf|aff 0 pred _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 miękkiego miękki adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 materiału materiał subst subst sg|gen|m3 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 który który adj adj sg|nom|m3|pos 0 subj _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 sprawia sprawiać fin fin sg|ter|imperf 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 żadnych żaden adj adj pl|gen|m3|pos 0 adjunct _ _ _
+
+1 problemów problem subst subst pl|gen|m3 0 adjunct _ _ S
+
+1 podczas podczas prep prep gen 0 adjunct _ _ _
+
+1 prania prać ger ger sg|gen|n|imperf|aff 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Miseczki miseczka subst subst pl|nom|f 0 subj _ _ A
+
+1 typu typ subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 push-up push-upa subst subst pl|gen|f 0 adjunct _ _ _
+
+1 podkreślają podkreślać fin fin pl|ter|imperf 0 pred _ _ _
+
+1 piękno piękno subst subst sg|acc|n 0 obj _ _ S
+
+1 kobiecego kobiecy adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 biustu biust subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 eksponując eksponować pcon pcon imperf 0 conjunct _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 subtelnie subtelnie adv adv pos 0 adjunct _ _ _
+
+1 unosząc unosić pcon pcon imperf 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 wykonany wykonać ppas ppas sg|nom|m3|perf|aff 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 starannie starannie adv adv pos 0 adjunct _ _ _
+
+1 i i conj conj _ 0 adjunct _ _ _
+
+1 dokładnie dokładnie adv adv pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 cena cena subst subst sg|nom|f 0 subj _ _ A
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 wysoka wysoki adj adj sg|nom|f|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nie nie qub qub _ 0 neg _ _ _
+
+1 zawiodła zawieść praet praet sg|f|perf 0 conjunct _ _ S
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 jego on ppron3 ppron3 sg|gen|m1|ter|akc|npraep 0 adjunct _ _ _
+
+1 zakupie zakup subst subst sg|loc|m3 0 comp _ _ A
+
+1 podobnie podobnie adv adv pos 0 adjunct _ _ _
+
+1 jak jak conj conj _ 0 coord _ _ _
+
+1 na na prep prep loc 0 conjunct _ _ _
+
+1 innej inny adj adj sg|loc|f|pos 0 adjunct _ _ _
+
+1 bieliźnie bielizna subst subst sg|loc|f 0 comp _ _ _
+
+1 firmy firma subst subst sg|gen|f 0 adjunct _ _ _
+
+1 Triumph triumpha subst subst pl|gen|f 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ja ja ppron12 ppron12 sg|nom|f|pri 0 subj _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 zdecydowała zdecydować praet praet sg|f|perf 0 pred _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 jedynie jedynie adv adv pos 0 adjunct _ _ _
+
+1 ze z prep prep gen|wok 0 adjunct _ _ _
+
+1 względu wzgląd subst subst sg|gen|m3 0 comp _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 twarde twardy adj adj pl|acc|f|pos 0 adjunct _ _ S
+
+1 miseczki miseczka subst subst pl|acc|f 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 które który adj adj pl|nom|f|pos 0 subj _ _ _
+
+1 mogły móc praet praet pl|f|imperf 0 adjunct _ _ _
+
+1 oszpecić oszpecić inf inf perf 0 comp_inf _ _ _
+
+1 suknię suknia subst subst sg|acc|f 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Szczególnie szczególnie adv adv pos 0 adjunct _ _ _
+
+1 dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 komponuje komponować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 z z prep prep inst|nwok 0 comp _ _ _
+
+1 czarną czarny adj adj sg|inst|f|pos 0 adjunct _ _ _
+
+1 biżuterią biżuteria subst subst sg|inst|f 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 jak jak conj conj _ 0 coord _ _ _
+
+1 u u prep prep gen 0 conjunct _ _ _
+
+1 Pani pani subst subst sg|nom|f 0 comp _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 zdjęciu zdjęcie subst subst sg|loc|n 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Wygląda wyglądać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 zwyczajny zwyczajny adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 niczym nic subst subst sg|loc|n 0 comp _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 wyróżniający wyróżniać pact pact sg|nom|m3|imperf|aff 0 adjunct _ _ S
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 staniczek staniczek subst subst sg|acc|m3 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 dość dość qub qub _ 0 adjunct _ _ _
+
+1 cienkie cienki adj adj pl|acc|n|pos 0 adjunct _ _ S
+
+1 ramiączka ramiączko subst subst pl|acc|n 0 comp _ _ A
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 odznacza odznaczać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 pod pod prep prep inst|nwok 0 comp _ _ _
+
+1 bluzką bluzka subst subst sg|inst|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Posiadam posiadać fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 taki taki adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|acc|m3 0 obj _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 jestem być fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 niego on ppron3 ppron3 sg|gen|m1|ter|akc|praep 0 comp _ _ _
+
+1 zadowolona zadowolony adj adj sg|nom|f|pos 0 pd _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 mimo mimo prep prep gen 0 adjunct _ _ _
+
+1 wysokiej wysoki adj adj sg|gen|f|pos 0 adjunct _ _ S
+
+1 ceny cena subst subst sg|gen|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 czystym czysty adj adj sg|inst|n|pos 0 adjunct _ _ S
+
+1 sumieniem sumienie subst subst sg|inst|n 0 comp _ _ A
+
+1 mogę móc fin fin sg|pri|imperf 0 pred _ _ _
+
+1 polecić polecić inf inf perf 0 comp_inf _ _ _
+
+1 ten ten adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|acc|m3 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Fiszbiny fiszbin subst subst pl|nom|m3 0 subj _ _ A
+
+1 również również qub qub _ 0 adjunct _ _ _
+
+1 są być fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 kiepskie kiepski adj adj pl|nom|m3|pos 0 pd _ _ S
+
+1 - - interp interp _ 0 coord_punct _ _ _
+
+1 druciki drucik subst subst pl|nom|m3 0 subj _ _ _
+
+1 wychodzą wychodzić fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 kłują kłuć fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Pomysł pomysł subst subst sg|nom|m3 0 conjunct _ _ A
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 dobry dobry adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 coord _ _ _
+
+1 nie nie qub qub _ 0 conjunct _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ _
+
+1 o o prep prep loc 0 adjunct _ _ _
+
+1 obfitym obfity adj adj sg|loc|m3|pos 0 adjunct _ _ _
+
+1 biuście biust subst subst sg|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Plusem plus subst subst sg|inst|m3 0 pd _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 niezbyt niezbyt qub qub _ 0 adjunct _ _ _
+
+1 wysoka wysoki adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 cena cena subst subst sg|nom|f 0 subj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cena cena subst subst sg|nom|f 0 conjunct _ _ A
+
+1 zbyt zbyt qub qub _ 0 adjunct _ _ _
+
+1 wysoka wysoki adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 jak jak conj conj _ 0 coord _ _ _
+
+1 za za prep prep acc 0 conjunct _ _ _
+
+1 taki taki adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 produkt produkt subst subst sg|acc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Fajna fajny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 sprawa sprawa subst subst sg|nom|f 0 conjunct _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 ale ale conj conj _ 0 coord _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 płaskich płaski adj adj pl|gen|f|pos 0 adjunct _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Skóra skóra subst subst sg|nom|f 0 subj _ _ _
+
+1 pod pod prep prep inst|nwok 0 adjunct _ _ _
+
+1 nim on ppron3 ppron3 sg|inst|m3|ter|akc|praep 0 comp _ _ _
+
+1 pociła pocić praet praet sg|f|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 dawało dawać praet praet sg|n|imperf 0 conjunct _ _ _
+
+1 to to subst subst sg|nom|n 0 subj _ _ _
+
+1 przyjemnego przyjemny adj adj sg|gen|m3|pos 0 adjunct _ _ S
+
+1 efektu efekt subst subst sg|gen|m3 0 obj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Samonośny samonośny adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 stanik stanik subst subst sg|nom|m3 0 subj _ _ _
+
+1 rzeczywiście rzeczywiście adv adv pos 0 adjunct _ _ _
+
+1 sam sam adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 trzyma trzymać fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 z z prep prep gen|nwok 0 comp _ _ _
+
+1 czego co subst subst sg|gen|n 0 comp _ _ _
+
+1 jestem być fin fin sg|pri|imperf 0 comp_fin _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 zadowolona zadowolony adj adj sg|nom|f|pos 0 pd _ _ _
+
+1 jednak jednak conj conj _ 0 adjunct _ _ _
+
+1 przy przy prep prep loc 0 adjunct _ _ _
+
+1 dużym duży adj adj sg|loc|m3|pos 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 energicznym energiczny adj adj sg|loc|m3|pos 0 adjunct _ _ S
+
+1 ruchu ruch subst subst sg|loc|m3 0 conjunct _ _ A
+
+1 odczepia odczepiać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 co co subst subst sg|nom|n 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 niekomfortowe niekomfortowy adj adj sg|nom|n|pos 0 pd _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Prezentowany prezentować ppas ppas sg|nom|m3|imperf|aff 0 adjunct _ _ _
+
+1 produkt produkt subst subst sg|nom|m3 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 w w prep prep loc|nwok 0 comp _ _ _
+
+1 przystępnej przystępny adj adj sg|loc|f|pos 0 adjunct _ _ S
+
+1 cenie cena subst subst sg|loc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 fajny fajny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 kształt kształt subst subst sg|acc|m3 0 comp _ _ _
+
+1 miseczek miseczka subst subst pl|gen|f 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mała mały adj adj sg|nom|f|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 satynowa satynowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 kokardka kokardka subst subst sg|nom|f 0 subj _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 przodzie przód subst subst sg|loc|m3 0 comp _ _ _
+
+1 słodko słodko adv adv pos 0 adjunct _ _ _
+
+1 komponuje komponować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 tu tu qub qub _ 0 adjunct _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 efektownym efektowny adj adj sg|inst|m1|pos 0 adjunct _ _ S
+
+1 push pusha subst subst pl|gen|f 0 comp _ _ A
+
+1 upem up subst subst sg|inst|m3 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 od od prep prep gen|nwok 0 adjunct _ _ _
+
+1 którego który adj adj sg|gen|m3|pos 0 comp _ _ _
+
+1 poprostu poprosty adjp adjp _ 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 można można pred pred _ 0 conjunct _ _ _
+
+1 oderwać oderwać inf inf perf 0 comp_inf _ _ _
+
+1 oczu oko subst subst pl|gen|n 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Mała mały adj adj sg|nom|f|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 satynowa satynowy adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 kokardka kokardka subst subst sg|nom|f 0 subj _ _ _
+
+1 na na prep prep loc 0 adjunct _ _ _
+
+1 przodzie przód subst subst sg|loc|m3 0 comp _ _ _
+
+1 słodko słodko adv adv pos 0 adjunct _ _ _
+
+1 komponuje komponować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 tu tu qub qub _ 0 adjunct _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 efektownym efektowny adj adj sg|inst|m1|pos 0 adjunct _ _ S
+
+1 push pusha subst subst pl|gen|f 0 comp _ _ _
+
+1 upem up subst subst sg|inst|m3 0 adjunct _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 od od prep prep gen|nwok 0 adjunct _ _ _
+
+1 którego który adj adj sg|gen|m3|pos 0 comp _ _ _
+
+1 poprostu poprosty adjp adjp _ 0 adjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 można można pred pred _ 0 conjunct _ _ _
+
+1 oderwać oderwać inf inf perf 0 comp_inf _ _ _
+
+1 oczu oko subst subst pl|gen|n 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Podkreśla podkreślać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 biust biust subst subst sg|nom|m3 0 subj _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 zmniejsza zmniejszać fin fin sg|ter|imperf 0 conjunct _ _ S
+
+1 odstępy odstęp subst subst pl|acc|m3 0 obj _ _ _
+
+1 między między prep prep inst 0 adjunct _ _ _
+
+1 piersiami pierś subst subst pl|inst|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 wygodny wygodny adj adj sg|nom|m1|pos 0 pd _ _ S
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 noszeniu noszenie subst subst sg|loc|n 0 comp _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 podrażnia podrażniać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 skóry skóra subst subst sg|gen|f 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 doskonały doskonały adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 prezent prezent subst subst sg|nom|m3 0 subj _ _ A
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 kobiety kobieta subst subst sg|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 odpinane odpinać ppas ppas pl|acc|n|imperf|aff 0 adjunct _ _ _
+
+1 ramiączka ramiączko subst subst pl|nom|n 0 conjunct _ _ _
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 słodką słodki adj adj sg|acc|f|pos 0 adjunct _ _ S
+
+1 kokardkę kokardka subst subst sg|acc|f 0 conjunct _ _ A
+
+1 między między prep prep inst 0 adjunct _ _ _
+
+1 piersiami pierś subst subst pl|inst|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Miseczki miseczka subst subst pl|nom|f 0 subj _ _ A
+
+1 typu typ subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 push pusha subst subst pl|gen|f 0 adjunct _ _ _
+
+1 up up qub qub _ 0 adjunct _ _ _
+
+1 świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 podtrzymują podtrzymywać fin fin pl|ter|imperf 0 pred _ _ _
+
+1 biust biust subst subst sg|acc|m3 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Piersi pierś subst subst pl|nom|f 0 subj _ _ _
+
+1 wyglądają wyglądać fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 pięknie pięknie adv adv pos 0 adjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 sexsownie sexsownie adv adv pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 kolor kolor subst subst sg|acc|m3 0 obj _ _ A
+
+1 także także qub qub _ 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ładny ładny adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 uniwersalny uniwersalny adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 design design subst subst sg|acc|m3 0 comp _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 pomimo pomimo prep prep gen 0 adjunct _ _ _
+
+1 skromności skromność subst subst sg|gen|f 0 comp _ _ _
+
+1 elegancko elegancko adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 prezentuje prezentować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Stanik stanik subst subst sg|nom|m3 0 subj _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 pełną pełny adj adj sg|acc|f|pos 0 adjunct _ _ S
+
+1 gamę gama subst subst sg|acc|f 0 comp _ _ _
+
+1 rozmiarów rozmiar subst subst pl|gen|m3 0 adjunct _ _ A
+
+1 miseczki miseczka subst subst sg|gen|f 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Stanik stanik subst subst sg|nom|m3 0 subj _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 pełną pełny adj adj sg|acc|f|pos 0 adjunct _ _ S
+
+1 gamę gama subst subst sg|acc|f 0 comp _ _ A
+
+1 rozmiarów rozmiar subst subst pl|gen|m3 0 adjunct _ _ _
+
+1 miseczki miseczka subst subst sg|gen|f 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Plus plus subst subst sg|nom|m3 0 pred _ _ _
+
+1 za za prep prep acc 0 adjunct _ _ _
+
+1 ładną ładny adj adj sg|acc|f|pos 0 adjunct _ _ S
+
+1 kokardkę kokardka subst subst sg|acc|f 0 comp _ _ A
+
+1 pomiędzy pomiędzy prep prep inst 0 adjunct _ _ _
+
+1 miseczkami miseczka subst subst pl|inst|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Nadaje nadawać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 biustowi biust subst subst sg|dat|m3 0 obj_th _ _ A
+
+1 ślicznego śliczny adj adj sg|gen|m3|pos 0 adjunct _ _ S
+
+1 wyglądu wygląd subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealny idealny adj adj sg|nom|m1|pos 0 pred _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 prezent prezent subst subst sg|acc|m3 0 comp _ _ A
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 dziewczyny dziewczyna subst subst sg|gen|f 0 comp _ _ _
+
+1 np npa subst subst pl|gen|f 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Świetnie świetnie adv adv pos 0 adjunct _ _ S
+
+1 kształtuje kształtować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 biust biust subst subst sg|nom|m3 0 subj _ _ A
+
+1 kobiety kobieta subst subst sg|gen|f 0 adjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 unosi unosić fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 wspaniale wspaniale adv adv pos 0 adjunct _ _ _
+
+1 podkreśla podkreślać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Uważam uważać fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 że że conj conj _ 0 coord _ _ _
+
+1 cena cena subst subst sg|nom|f 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 adekwatna adekwatny adj adj sg|nom|f|pos 0 pd _ _ S
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 produktu produkt subst subst sg|gen|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Godny godny adj adj sg|nom|m1|pos 0 adjunct _ _ S
+
+1 swojej swój adj adj sg|gen|f|pos 0 adjunct _ _ _
+
+1 ceny cena subst subst sg|gen|f 0 pred _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Przepięknie przepięknie adv adv pos 0 adjunct _ _ _
+
+1 wygląda wyglądać fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|acc|m3 0 obj _ _ _
+
+1 tak tak qub qub _ 0 adjunct _ _ _
+
+1 ładnie ładnie adv adv pos 0 comp _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 prezentuje prezentować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 tego to subst subst sg|gen|n 0 comp _ _ _
+
+1 cena cena subst subst sg|nom|f 0 subj _ _ A
+
+1 też też qub qub _ 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 korzystna korzystny adj adj sg|nom|f|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cena cena subst subst sg|nom|f 0 conjunct _ _ A
+
+1 nawet nawet qub qub _ 0 adjunct _ _ _
+
+1 atrakcyjna atrakcyjny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 jak jak conj conj _ 0 coord _ _ _
+
+1 za za prep prep acc 0 conjunct _ _ _
+
+1 taki taki adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 seksowny seksowny adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|acc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Tymczasem tymczasem qub qub _ 0 adjunct _ _ _
+
+1 polska polski adj adj sg|nom|f|pos 0 adjunct _ _ _
+
+1 firemka firemka subst subst sg|nom|f 0 subj _ _ _
+
+1 robi robić fin fin sg|ter|imperf 0 pred _ _ _
+
+1 coś coś subst subst sg|acc|n 0 obj _ _ _
+
+1 seksownego seksowny adj adj sg|gen|n|pos 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 o o prep prep loc 0 comp _ _ _
+
+1 znakomitym znakomity adj adj sg|loc|m3|pos 0 adjunct _ _ S
+
+1 dizajnie dizajn subst subst sg|loc|m3 0 conjunct _ _ A
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 stylu styl subst subst sg|loc|m3 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Fiszbiny fiszbin subst subst pl|nom|m3 0 subj _ _ _
+
+1 wbijają wbijać fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 w w prep prep acc|nwok 0 comp _ _ _
+
+1 skórę skóra subst subst sg|acc|f 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 materiał materiał subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 gryzący gryzący adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Kolor kolor subst subst sg|nom|m3 0 pred _ _ A
+
+1 purpurowego purpurowy adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 różu róż subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 modny modny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 tym ten adj adj sg|loc|m3|pos 0 adjunct _ _ _
+
+1 sezonie sezon subst subst sg|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Kolor kolor subst subst sg|nom|m3 0 pred _ _ _
+
+1 purpurowego purpurowy adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 różu róż subst subst sg|gen|m3 0 adjunct _ _ A
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 modny modny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 tym ten adj adj sg|loc|m3|pos 0 adjunct _ _ _
+
+1 sezonie sezon subst subst sg|loc|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Przygotowany przygotować ppas ppas sg|nom|m1|perf|aff 0 pred _ _ _
+
+1 z z prep prep inst|nwok 0 comp _ _ _
+
+1 myślą myśl subst subst sg|inst|f 0 comp _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 pań pani subst subst pl|gen|f 0 comp _ _ _
+
+1 o o prep prep loc 0 adjunct _ _ _
+
+1 dorodnym dorodny adj adj sg|loc|m3|pos 0 adjunct _ _ S
+
+1 biuście biust subst subst sg|loc|m3 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 śliczny śliczny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 różowy różowy adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 kolor kolor subst subst sg|acc|m3 0 comp _ _ A
+
+1 ze z prep prep inst|wok 0 adjunct _ _ _
+
+1 zniewalającymi zniewalać pact pact pl|inst|f|imperf|aff 0 comp _ _ _
+
+1 aplikacjami aplikacja subst subst pl|inst|f 0 conjunct _ _ _
+
+1 oraz oraz conj conj _ 0 obj _ _ _
+
+1 push pusha subst subst pl|gen|f 0 conjunct _ _ _
+
+1 upem up subst subst sg|inst|m3 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cukierkowy cukierkowy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 prosiaczkowy prosiaczkowy adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 róż róż subst subst sg|nom|m3 0 subj _ _ _
+
+1 z z prep prep inst|nwok 0 comp _ _ _
+
+1 bladymi blady adj adj pl|inst|m3|pos 0 adjunct _ _ S
+
+1 kolorami kolor subst subst pl|inst|m3 0 comp _ _ A
+
+1 sprawiają sprawiać fin fin pl|ter|imperf 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 adjunct _ _ _
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ _
+
+1 wygląda wyglądać fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 naprawdę naprawdę qub qub _ 0 adjunct _ _ _
+
+1 tandetnie tandetnie adv adv pos 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 śliczny śliczny adj adj sg|acc|m3|pos 0 adjunct _ _ S
+
+1 kolorek kolorek subst subst sg|acc|m3 0 obj _ _ A
+
+1 pięknie pięknie adv adv pos 0 adjunct _ _ _
+
+1 kształduje kształdować fin fin sg|ter|imperf 0 comp _ _ _
+
+1 oraz oraz conj conj _ 0 coord _ _ _
+
+1 eksponuje eksponować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 kobiecy kobiecy adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biust biust subst subst sg|acc|m3 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ciekawe ciekawy adj adj pl|nom|m3|pos 0 adjunct _ _ S
+
+1 hafty haft subst subst pl|nom|m3 0 conjunct _ _ _
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 kolory kolor subst subst pl|acc|m3 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Idealny idealny adj adj sg|nom|m1|pos 0 pred _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 lato lato subst subst sg|acc|n 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 można można pred pred _ 0 comp_fin _ _ _
+
+1 iść iść inf inf imperf 0 comp_inf _ _ _
+
+1 na na prep prep acc 0 comp _ _ _
+
+1 dyskotekę dyskoteka subst subst sg|acc|f 0 comp _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 koszulce koszulka subst subst sg|loc|f 0 comp _ _ _
+
+1 pod pod prep prep inst|nwok 0 adjunct _ _ _
+
+1 którą który adj adj sg|acc|f|pos 0 obj _ _ _
+
+1 widać widać pred pred _ 0 comp _ _ _
+
+1 stanik stanik subst subst sg|nom|m3 0 conjunct _ _ _
+
+1 jako jako conj conj _ 0 obj _ _ _
+
+1 główną główny adj adj sg|acc|f|pos 0 adjunct _ _ _
+
+1 atrakcję atrakcja subst subst sg|acc|f 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ _
+
+1 pomimo pomimo prep prep gen 0 adjunct _ _ _
+
+1 dość dość qub qub _ 0 adjunct _ _ _
+
+1 wysokiej wysoki adj adj sg|gen|f|pos 0 adjunct _ _ S
+
+1 ceny cena subst subst sg|gen|f 0 comp _ _ A
+
+1 wygląda wyglądać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 sexy sexa subst subst pl|acc|f 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 czystym czysty adj adj sg|inst|n|pos 0 adjunct _ _ S
+
+1 sumieniem sumienie subst subst sg|inst|n 0 conjunct _ _ A
+
+1 i i conj conj _ 0 comp _ _ _
+
+1 całą cały adj adj sg|inst|f|pos 0 adjunct _ _ _
+
+1 pewnością pewność subst subst sg|inst|f 0 conjunct _ _ _
+
+1 mogę móc fin fin sg|pri|imperf 0 pred _ _ _
+
+1 polecić polecić inf inf perf 0 comp_inf _ _ _
+
+1 ten ten adj adj sg|acc|m3|pos 0 adjunct _ _ _
+
+1 produkt produkt subst subst sg|acc|m3 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 podtrzymuje podtrzymywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 biust biust subst subst sg|nom|m3 0 subj _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 niezwykle niezwykle adv adv pos 0 adjunct _ _ _
+
+1 seksownie seksownie adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 prezentuje prezentować fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 na na prep prep loc 0 comp _ _ _
+
+1 sylwetce sylwetka subst subst sg|loc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 wygodny wygodny adj adj sg|nom|m1|pos 0 adjunct _ _ S
+
+1 bistonosz bistonosz subst subst sg|nom|m1 0 pred _ _ A
+
+1 przeznaczony przeznaczyć ppas ppas sg|nom|m1|perf|aff 0 adjunct _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 kobiet kobieta subst subst pl|gen|f 0 comp _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 większym wielki adj adj sg|inst|m3|comp 0 adjunct _ _ _
+
+1 biustem biust subst subst sg|inst|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 kupiła kupić praet praet sg|f|imperf 0 pred _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 koleżance koleżanka subst subst sg|dat|f 0 obj_th _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 urodziny urodziny subst subst pl|acc|n 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ładnie ładnie adv adv pos 0 adjunct _ _ _
+
+1 wyprofilowany wyprofilować ppas ppas sg|nom|m3|perf|aff 0 comp_fin _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 trzyma trzymać fin fin sg|ter|imperf 0 adjunct _ _ _
+
+1 biust biust subst subst sg|nom|m3 0 subj _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 porządnie porządnie adv adv pos 0 adjunct _ _ _
+
+1 wykończony wykończony adj adj sg|nom|m3|pos 0 pd _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Cena cena subst subst sg|nom|f 0 pred _ _ A
+
+1 adekwatna adekwatny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 stanika stanik subst subst sg|gen|m3 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 ładne ładny adj adj pl|acc|m3|pos 0 adjunct _ _ S
+
+1 kolory kolor subst subst pl|acc|m3 0 conjunct _ _ A
+
+1 - - interp interp _ 0 coord_punct _ _ _
+
+1 odcienie odcień subst subst pl|nom|m3 0 conjunct _ _ _
+
+1 wiśni wiśnia subst subst sg|gen|f 0 adjunct _ _ _
+
+1 i i conj conj _ 0 subj _ _ _
+
+1 pudrowego pudrowy adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 różu róż subst subst sg|gen|m3 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Regulacja regulacja subst subst sg|nom|f 0 subj _ _ _
+
+1 ramiączek ramiączko subst subst pl|gen|n 0 adjunct _ _ _
+
+1 stwarza stwarzać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 większą wielki adj adj sg|acc|f|comp 0 adjunct _ _ _
+
+1 swobodę swoboda subst subst sg|acc|f 0 obj _ _ S
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 wyborze wybór subst subst sg|loc|m3 0 comp _ _ A
+
+1 garderoby garderoba subst subst sg|gen|f 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 gdy gdy conj conj _ 0 comp_fin _ _ _
+
+1 chce chcieć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 odsłonić odsłonić inf inf perf 0 comp_inf _ _ _
+
+1 ramiona ramię subst subst pl|acc|n 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Planuje planować fin fin sg|ter|imperf 0 pred _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 zakupić zakupić inf inf perf 0 comp_inf _ _ _
+
+1 właśnie właśnie qub qub _ 0 adjunct _ _ _
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 sukienki sukienka subst subst sg|gen|f 0 comp _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 dekoldem dekold subst subst sg|inst|m1 0 comp _ _ A
+
+1 - - interp interp _ 0 punct _ _ _
+
+1 ponoć ponoć qub qub _ 0 adjunct _ _ _
+
+1 super super xxx xxx _ 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Fiszbinę fiszbina subst subst sg|acc|f 0 adjunct _ _ _
+
+1 środkowo środkowo adv adv pos 0 adjunct _ _ _
+
+1 można można pred pred _ 0 pred _ _ _
+
+1 bardziej bardzo adv adv comp 0 adjunct _ _ _
+
+1 ścisnąć ścisnąć inf inf perf 0 pred _ _ _
+
+1 w w prep prep acc|nwok 0 comp _ _ _
+
+1 stronę strona subst subst sg|acc|f 0 comp _ _ _
+
+1 środka środek subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 przodu przód subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 lepszego dobry adj adj sg|gen|n|comp 0 adjunct _ _ S
+
+1 ściśnięcia ściśnięcie subst subst sg|gen|n 0 comp _ _ A
+
+1 piersi pierś subst subst sg|gen|f 0 adjunct _ _ _
+
+1 Ślicznie ślicznie adv adv pos 0 adjunct _ _ _
+
+1 wymodelowany wymodelować ppas ppas sg|nom|m1|perf|aff 0 adjunct _ _ _
+
+1 fasonik fasonik subst subst sg|nom|m3 0 subj _ _ _
+
+1 sprawia sprawiać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 iż iż conj conj _ 0 adjunct _ _ _
+
+1 każdy każdy adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biust biust subst subst sg|nom|m3 0 subj _ _ _
+
+1 wygląda wyglądać fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 zachwycająco zachwycająco adv adv pos 0 comp _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 emanując emanować pcon pcon imperf 0 adjunct _ _ _
+
+1 idealnymi idealny adj adj pl|inst|f|pos 0 adjunct _ _ S
+
+1 krągłościami krągłość subst subst pl|inst|f 0 conjunct _ _ A
+
+1 i i conj conj _ 0 obj _ _ _
+
+1 ponętnym ponętny adj adj sg|inst|m3|pos 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 jędrnym jędrny adj adj sg|inst|m3|pos 0 adjunct _ _ _
+
+1 wizerunkiem wizerunek subst subst sg|inst|m3 0 pd _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Panowie pan subst subst pl|nom|m1 0 pred _ _ _
+
+1 - - interp interp _ 0 punct _ _ _
+
+1 idealny idealny adj adj sg|nom|m1|pos 0 pd _ _ S
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 prezent prezent subst subst sg|acc|m3 0 comp _ _ A
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 moze moze qub qub _ 0 adjunct _ _ _
+
+1 gaia gaia ign ign _ 0 conjunct _ _ _
+
+1 wypuści wypuścić fin fin sg|ter|perf 0 conjunct _ _ _
+
+1 jakieś jakiś adj adj pl|acc|m3|pos 0 adjunct _ _ _
+
+1 fajne fajny adj adj pl|acc|m3|pos 0 adjunct _ _ S
+
+1 kolorki kolorek subst subst pl|acc|m3 0 obj _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 lato lato subst subst sg|acc|n 0 comp _ _ A
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 tego ten adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 modelu model subst subst sg|gen|m3 0 comp _ _ _
+
+1 no no qub qub _ 0 adjunct _ _ _
+
+1 i i conj conj _ 0 comp_fin _ _ _
+
+1 o o prep prep loc 0 conjunct _ _ _
+
+1 dużej duży adj adj sg|loc|f|pos 0 adjunct _ _ _
+
+1 miseczce miseczka subst subst sg|loc|f 0 comp _ _ _
+
+1 ; ; interp interp _ 0 coord_punct _ _ _
+
+1 p pa subst subst pl|gen|f 0 conjunct _ _ _
+
+1 moze moze qub qub _ 0 adjunct _ _ _
+
+1 gaia gaia ign ign _ 0 conjunct _ _ _
+
+1 wypuści wypuścić fin fin sg|ter|perf 0 conjunct _ _ _
+
+1 jakieś jakiś adj adj pl|acc|m3|pos 0 adjunct _ _ _
+
+1 fajne fajny adj adj pl|acc|m3|pos 0 adjunct _ _ S
+
+1 kolorki kolorek subst subst pl|acc|m3 0 obj _ _ A
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 lato lato subst subst sg|acc|n 0 comp _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 tego ten adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 modelu model subst subst sg|gen|m3 0 comp _ _ _
+
+1 no no qub qub _ 0 adjunct _ _ _
+
+1 i i conj conj _ 0 comp_fin _ _ _
+
+1 o o prep prep loc 0 conjunct _ _ _
+
+1 dużej duży adj adj sg|loc|f|pos 0 adjunct _ _ _
+
+1 miseczce miseczka subst subst sg|loc|f 0 comp _ _ _
+
+1 ; ; interp interp _ 0 coord_punct _ _ _
+
+1 p pa subst subst pl|gen|f 0 conjunct _ _ _
+
+1 Ładniejszy ładny adj adj sg|nom|m3|comp 0 adjunct _ _ S
+
+1 biust biust subst subst sg|nom|m3 0 subj _ _ A
+
+1 sprawia sprawiać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 adjunct _ _ _
+
+1 kobieta kobieta subst subst sg|nom|f 0 subj _ _ _
+
+1 czuje czuć fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 pewniej pewno adv adv comp 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 wygodny wygodny adj adj sg|nom|m1|pos 0 pd _ _ S
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 noszeniu noszenie subst subst sg|loc|n 0 comp _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 dopasowuje dopasowywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 do do prep prep gen 0 comp _ _ _
+
+1 figury figura subst subst sg|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Możliwa możliwy adj adj sg|nom|f|pos 0 pd _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 opcja opcja subst subst sg|nom|f 0 subj _ _ _
+
+1 wyboru wybór subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 ulubionego ulubiony adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 koloru kolor subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 także także qub qub _ 0 adjunct _ _ _
+
+1 pełna pełny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 gama gama subst subst sg|nom|f 0 conjunct _ _ A
+
+1 rozmiarów rozmiar subst subst pl|gen|m3 0 adjunct _ _ _
+
+1 tego ten adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 produktu produkt subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Możliwa możliwy adj adj sg|nom|f|pos 0 pd _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 opcja opcja subst subst sg|nom|f 0 subj _ _ _
+
+1 wyboru wybór subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 ulubionego ulubiony adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 koloru kolor subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 także także qub qub _ 0 adjunct _ _ _
+
+1 pełna pełny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 gama gama subst subst sg|nom|f 0 conjunct _ _ _
+
+1 rozmiarów rozmiar subst subst pl|gen|m3 0 adjunct _ _ A
+
+1 tego ten adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 produktu produkt subst subst sg|gen|m3 0 adjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 faktycznie faktycznie adv adv pos 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 przydatny przydatny adj adj sg|nom|m1|pos 0 pd _ _ S
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 kreacjii kreacjii subst subst sg|gen|n 0 comp _ _ A
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 tzw tzwa subst subst pl|gen|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Do do prep prep gen 0 comp _ _ _
+
+1 tego to subst subst sg|gen|n 0 comp _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 uroczy uroczy adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 , , interp interp _ 0 adjunct _ _ _
+
+1 dziewczęcy dziewczęcy adj adj sg|nom|m3|pos 0 conjunct _ _ _
+
+1 design design subst subst sg|acc|m3 0 subj _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Uwydatni uwydatnić fin fin sg|ter|perf 0 conjunct _ _ _
+
+1 kobiece kobiecy adj adj pl|acc|m3|pos 0 adjunct _ _ _
+
+1 kształty kształt subst subst pl|acc|m3 0 obj _ _ _
+
+1 a a conj conj _ 0 coord _ _ _
+
+1 także także qub qub _ 0 adjunct _ _ _
+
+1 podniesie podnieść fin fin sg|ter|perf 0 conjunct _ _ S
+
+1 biust biust subst subst sg|nom|m3 0 subj _ _ _
+
+1 ku ku prep prep dat 0 adjunct _ _ _
+
+1 górze góra subst subst sg|dat|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Kolor kolor subst subst sg|nom|m3 0 subj _ _ A
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 trwały trwały adj adj sg|nom|m3|pos 0 pd _ _ S
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 mam mieć fin fin sg|pri|imperf 0 conjunct _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 6 6 tnum tnum integer 0 adjunct _ _ _
+
+1 miesięcy miesiąc subst subst pl|gen|m3 0 adjunct _ _ _
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 nadal nadal qub qub _ 0 adjunct _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 czarny czarny adj adj sg|nom|m1|pos 0 pd _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Krój krój subst subst sg|nom|m3 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 kobiecy kobiecy adj adj sg|nom|m3|pos 0 pd _ _ _
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 sprawia sprawiać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 adjunct _ _ _
+
+1 biust biust subst subst sg|nom|m3 0 subj _ _ A
+
+1 prezentuje prezentować fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ _
+
+1 ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 przystępną przystępny adj adj sg|acc|f|pos 0 adjunct _ _ S
+
+1 cenę cena subst subst sg|acc|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Dobrze dobrze adv adv pos 0 adjunct _ _ S
+
+1 podtrzymuje podtrzymywać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 biust biust subst subst sg|nom|m3 0 subj _ _ A
+
+1 i i conj conj _ 0 coord _ _ _
+
+1 powiększa powiększać fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 piersi pierś subst subst sg|gen|f 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Gorsenia gorsenia subst subst sg|nom|f 0 subj _ _ _
+
+1 Biustonosz biustonosz subst subst sg|nom|m3 0 app _ _ _
+
+1 koktailowy koktailowy adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 to to pred pred _ 0 pred _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 fajna fajny adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 nowość nowość subst subst sg|nom|f 0 pd _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Zamówiła zamówić praet praet sg|f|perf 0 pred _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 go on ppron3 ppron3 sg|acc|m1|ter|nakc|npraep 0 obj _ _ _
+
+1 skuszona skusić ppas ppas sg|nom|f|perf|aff 0 conjunct _ _ _
+
+1 ślicznym śliczny adj adj sg|inst|n|pos 0 adjunct _ _ S
+
+1 zdjęciem zdjęcie subst subst sg|inst|n 0 comp _ _ A
+
+1 a a conj conj _ 0 subj _ _ _
+
+1 otrzymała otrzymać praet praet sg|f|perf 0 conjunct _ _ _
+
+1 m być aglt aglt sg|pri|imperf|nwok 0 aglt _ _ _
+
+1 bieliznę bielizna subst subst sg|acc|f 0 obj _ _ _
+
+1 odbiegającą odbiegać pact pact sg|acc|f|imperf|aff 0 adjunct _ _ _
+
+1 od od prep prep gen|nwok 0 comp _ _ _
+
+1 mojego mój adj adj sg|gen|n|pos 0 adjunct _ _ _
+
+1 wyobrażenia wyobrażenie subst subst sg|gen|n 0 comp _ _ _
+
+1 ze z prep prep gen|wok 0 adjunct _ _ _
+
+1 zdjęcia zdjęcie subst subst sg|gen|n 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 cudowny cudowny adj adj sg|nom|m3|pos 0 adjunct _ _ S
+
+1 kolor kolor subst subst sg|acc|m3 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 który który adj adj sg|nom|m3|pos 0 subj _ _ _
+
+1 spodoba spodobać fin fin sg|ter|perf 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 z z prep prep inst|nwok 0 adjunct _ _ _
+
+1 pewnością pewność subst subst sg|inst|f 0 comp _ _ _
+
+1 każdej każdy adj adj sg|loc|f|pos 0 adjunct _ _ _
+
+1 kobiecie kobieta subst subst sg|loc|f 0 obj _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 wykonany wykonać ppas ppas sg|nom|m3|perf|aff 0 pd _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 miłego miły adj adj sg|gen|m3|pos 0 comp _ _ S
+
+1 dla dla prep prep gen 0 adjunct _ _ _
+
+1 ciała ciało subst subst sg|gen|n 0 comp _ _ _
+
+1 materiału materiał subst subst sg|gen|m3 0 adjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Pomimo pomimo prep prep gen 0 pred _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 adjunct _ _ _
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 skromnie skromnie adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 prezentuje prezentować fin fin sg|ter|imperf 0 comp _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 godny godny adj adj sg|nom|m1|pos 0 adjunct _ _ S
+
+1 uwagi uwaga subst subst sg|gen|f 0 conjunct _ _ A
+
+1 i i conj conj _ 0 subj _ _ _
+
+1 polecenia polecenie subst subst pl|acc|n 0 conjunct _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Prawdziwa prawdziwy adj adj sg|nom|f|pos 0 adjunct _ _ S
+
+1 perła perła subst subst sg|nom|f 0 pred _ _ A
+
+1 wśród wśród prep prep gen 0 adjunct _ _ _
+
+1 biustonoszy biustonosz subst subst pl|gen|m3 0 comp _ _ _
+
+1 ! ! interp interp _ 0 punct _ _ _
+
+1 Pomimo pomimo prep prep gen 0 pred _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 adjunct _ _ _
+
+1 ten ten adj adj sg|nom|m3|pos 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ _
+
+1 bardzo bardzo adv adv pos 0 adjunct _ _ _
+
+1 skromnie skromnie adv adv pos 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 prezentuje prezentować fin fin sg|ter|imperf 0 comp _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 aux _ _ _
+
+1 godny godny adj adj sg|nom|m1|pos 0 adjunct _ _ S
+
+1 uwagi uwaga subst subst sg|gen|f 0 conjunct _ _ _
+
+1 i i conj conj _ 0 subj _ _ _
+
+1 polecenia polecenie subst subst pl|acc|n 0 conjunct _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Przez przez prep prep acc|nwok 0 adjunct _ _ _
+
+1 to to subst subst sg|acc|n 0 comp _ _ _
+
+1 zdarza zdarzać fin fin sg|ter|imperf 0 pred _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 że że conj conj _ 0 adjunct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ _
+
+1 unosi unosić fin fin sg|ter|imperf 0 comp_fin _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 nadmierni nadmierny adj adj pl|nom|m1|pos 0 pd _ _ S
+
+1 ku ku prep prep dat 0 adjunct _ _ _
+
+1 górze góra subst subst sg|dat|f 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Ma mieć fin fin sg|ter|imperf 0 pred _ _ _
+
+1 zbyt zbyt qub qub _ 0 adjunct _ _ _
+
+1 twarde twardy adj adj pl|acc|m3|pos 0 adjunct _ _ S
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+1 fiszbiny fiszbin subst subst pl|acc|m3 0 comp _ _ A
+
+1 , , interp interp _ 0 punct _ _ _
+
+1 które który adj adj pl|nom|m3|pos 0 subj _ _ _
+
+1 wbijają wbijać fin fin pl|ter|imperf 0 adjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 w w prep prep acc|nwok 0 comp _ _ _
+
+1 skórę skóra subst subst sg|acc|f 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 moze moze qub qub _ 0 adjunct _ _ _
+
+1 gaia gaia ign ign _ 0 conjunct _ _ _
+
+1 wypuści wypuścić fin fin sg|ter|perf 0 conjunct _ _ _
+
+1 jakieś jakiś adj adj pl|acc|m3|pos 0 adjunct _ _ _
+
+1 fajne fajny adj adj pl|acc|m3|pos 0 adjunct _ _ S
+
+1 kolorki kolorek subst subst pl|acc|m3 0 obj _ _ _
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 lato lato subst subst sg|acc|n 0 comp _ _ A
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 tego ten adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 modelu model subst subst sg|gen|m3 0 comp _ _ _
+
+1 no no qub qub _ 0 adjunct _ _ _
+
+1 i i conj conj _ 0 comp_fin _ _ _
+
+1 o o prep prep loc 0 conjunct _ _ _
+
+1 dużej duży adj adj sg|loc|f|pos 0 adjunct _ _ _
+
+1 miseczce miseczka subst subst sg|loc|f 0 comp _ _ _
+
+1 ; ; interp interp _ 0 coord_punct _ _ _
+
+1 p pa subst subst pl|gen|f 0 conjunct _ _ _
+
+1 moze moze qub qub _ 0 adjunct _ _ _
+
+1 gaia gaia ign ign _ 0 conjunct _ _ _
+
+1 wypuści wypuścić fin fin sg|ter|perf 0 conjunct _ _ _
+
+1 jakieś jakiś adj adj pl|acc|m3|pos 0 adjunct _ _ _
+
+1 fajne fajny adj adj pl|acc|m3|pos 0 adjunct _ _ S
+
+1 kolorki kolorek subst subst pl|acc|m3 0 obj _ _ A
+
+1 na na prep prep acc 0 adjunct _ _ _
+
+1 lato lato subst subst sg|acc|n 0 comp _ _ _
+
+1 z z prep prep gen|nwok 0 adjunct _ _ _
+
+1 tego ten adj adj sg|gen|m3|pos 0 adjunct _ _ _
+
+1 modelu model subst subst sg|gen|m3 0 comp _ _ _
+
+1 no no qub qub _ 0 adjunct _ _ _
+
+1 i i conj conj _ 0 comp_fin _ _ _
+
+1 o o prep prep loc 0 conjunct _ _ _
+
+1 dużej duży adj adj sg|loc|f|pos 0 adjunct _ _ _
+
+1 miseczce miseczka subst subst sg|loc|f 0 comp _ _ _
+
+1 ; ; interp interp _ 0 coord_punct _ _ _
+
+1 p pa subst subst pl|gen|f 0 conjunct _ _ _
+
+1 Cena cena subst subst sg|nom|f 0 subj _ _ A
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 wysoka wysoki adj adj sg|nom|f|pos 0 pd _ _ S
+
+1 , , interp interp _ 0 coord_punct _ _ _
+
+1 biustonosz biustonosz subst subst sg|nom|m3 0 subj _ _ _
+
+1 jest być fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 trwały trwać praet praet pl|m3|imperf 0 pd _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 wychodzą wychodzić fin fin pl|ter|imperf 0 comp_inf _ _ _
+
+1 druty drut subst subst pl|acc|m3 0 obj _ _ _
+
+1 i i conj conj _ 0 conjunct _ _ _
+
+1 nie nie qub qub _ 0 neg _ _ _
+
+1 pruje pruć fin fin sg|ter|imperf 0 conjunct _ _ _
+
+1 się się qub qub _ 0 refl _ _ _
+
+1 po po prep prep loc 0 adjunct _ _ _
+
+1 pierwszym pierwszy adj adj sg|loc|n|pos 0 adjunct _ _ _
+
+1 ubraniu ubrać ger ger sg|loc|n|perf|aff 0 comp _ _ _
+
+1 . . interp interp _ 0 punct _ _ _
+
+1 Jest być fin fin sg|ter|imperf 0 pred _ _ _
+
+1 miękki miękki adj adj sg|nom|m1|pos 0 conjunct _ _ _
+
+1 w w prep prep loc|nwok 0 adjunct _ _ _
+
+1 dotyku dotyk subst subst sg|loc|m3 0 comp _ _ _
+
+1 oraz oraz conj conj _ 0 subj _ _ _
+
+1 wygodny wygodny adj adj sg|nom|m3|pos 0 conjunct _ _ S
+
+1 do do prep prep gen 0 adjunct _ _ _
+
+1 codziennego codzienny adj adj sg|gen|n|pos 0 adjunct _ _ _
+
+1 noszenia noszenie subst subst sg|gen|n 0 comp _ _ A
+
+1 . . interp interp _ 0 punct _ _ _
+
diff --git a/main_for_experiments_on_polish_data_LSTM.py b/main_for_experiments_on_polish_data_LSTM.py
index 3dd9b68..4cfb72c 100644
--- a/main_for_experiments_on_polish_data_LSTM.py
+++ b/main_for_experiments_on_polish_data_LSTM.py
@@ -53,28 +53,258 @@ if __name__ == '__main__':
          file_with_filtered_embeddings)
         
 
-    s = {'lr':0.002,
-	 'nepochs':40,
+    s = {'lr': 0.01,
+	 'nepochs':60,
          'seed':345,
-         'nc':3         # number of y classes
+         'nc':3,         # number of y classes
+	 'dropout_rate': 0.5
          }  
     batch_size = 1
    
 
-    for h_dim in [100, 150]: 
+
+
+    for h_dim in [10, 30,50,75,100]:#[30, 50, 75, 100]: 
+
+    	    np.random.seed(s['seed'])
+	    random.seed(s['seed'])
+
+	    # Generate a theano RandomStreams
+	    srng = RandomStreams(12345)
+
+
+    	    rnn = LSTM_3_1(   h_dim,
+             	            nc = s['nc'],
+                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
+               	            max_phrase_length = 60,
+			    #dropout_rate = s['dropout_rate'],
+			    #srng = srng
+			)
+	
+       
+	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
+	    #train_data_check = train_data 
+	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
+	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
+
+	    n_train = len(train_data)
+	    n_dev = len(dev_data)
+	    n_test = len(test_data)
+
+	    print ""
+	    #print "model 56 : h_dim = ", h_dim, "h2_dim = ", h2_dim, "h3_dim = ", h3_dim, " learning rate = ", s['lr']#, "dropout rate: ", dropout_rate
+	    print "model LSTM_3_1 : " , "h_dim = ", h_dim, " learning rate = ", s['lr'], " batch_size = ", batch_size#, " dropout_rate = ", s['dropout_rate'] 
+	    print ""
+
+            best_prediction_valid_all = 0
+            best_prediction_test_all = 0
+            best_prediction_test_root = 0
+            early_stop = 0
+
+
+	    tic = time.time()
+
+	    for e in xrange(s['nepochs']):
+
+		#if e >= 1:
+		#    s['lr'] = 0.8 * s['lr']
+
+                if early_stop == 5:
+                    break
+
+
+		# shuffle
+		shuffle([train_data], e+1) # s['seed'])
+		
+		for i in range(n_train):
+		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
+		   
+		 	        
+     
+	        # Dev:
+	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
+                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
+	        for ii in range(n_dev):
+	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
+	            for j in range(len(pred)):
+	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
+                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
+
+
+		# Test:
+		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(n_test):
+		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
+		    for j in range(len(pred)):
+		        counts_test[pred[j], test_data[i][2][j]] += 1
+                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
+		
+		# Train
+		counts = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(len(train_data)):
+		    
+		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
+		    	pred  = rnn.classify(train_data[i][0],train_data[i][1], train_data[i][3])
+		    	for j in range(len(pred)):
+		    	    counts[pred[j], train_data[i][2][j]] += 1
+                   	counts_root[pred[-1], train_data[i][2][-1]] += 1
+
+		print("epoch: ", e,
+		      "V all: ", "%0.2f" % (100 * np.diag(counts_dev).sum()/float(counts_dev.sum())), 
+		      "   Test all: ", "%0.2f" % (100 * np.diag(counts_test).sum()/float(counts_test.sum())), 
+                      "V root: ", "%0.2f" % (100 * np.diag(counts_dev_root).sum()/float(counts_dev_root.sum())), 
+		      "   Test root: ", "%0.2f" % (100 * np.diag(counts_test_root).sum()/float(counts_test_root.sum())), 
+		      "   Train: ", "%0.2f" % (100 * np.diag(counts).sum()/float(counts.sum())), 
+		      "   Train root: ", "%0.2f" % (100 * np.diag(counts_root).sum()/float(counts_root.sum()))  
+		     )
+
+	     
+	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all or (e > 5 and np.diag(counts_dev).sum()/float(counts_dev.sum()) >= best_prediction_valid_all):
+                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
+		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
+		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
+
+                    early_stop = 0
+                else:
+                    early_stop = early_stop + 1
+
+
+	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
+
+
+
+    for h_dim in [10,30,50,75,100]:#[30, 50, 75, 100]: 
 
     	    np.random.seed(s['seed'])
 	    random.seed(s['seed'])
 
+	    # Generate a theano RandomStreams
+	    srng = RandomStreams(12345)
+
+
+    	    rnn = LSTM_4(   h_dim,
+             	            nc = s['nc'],
+                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
+               	            max_phrase_length = 60,
+			    #dropout_rate = s['dropout_rate'],
+			    #srng = srng
+			)
+	
+       
+	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
+	    #train_data_check = train_data 
+	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
+	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
+
+	    n_train = len(train_data)
+	    n_dev = len(dev_data)
+	    n_test = len(test_data)
+
+	    print ""
+	    #print "model 56 : h_dim = ", h_dim, "h2_dim = ", h2_dim, "h3_dim = ", h3_dim, " learning rate = ", s['lr']#, "dropout rate: ", dropout_rate
+	    print "model LSTM_4 : " , "h_dim = ", h_dim, " learning rate = ", s['lr'], " batch_size = ", batch_size#, " dropout_rate = ", s['dropout_rate'] 
+	    print ""
+
+            best_prediction_valid_all = 0
+            best_prediction_test_all = 0
+            best_prediction_test_root = 0
+            early_stop = 0
+
+
+	    tic = time.time()
+
+	    for e in xrange(s['nepochs']):
+
+		#if e >= 1:
+		#    s['lr'] = 0.8 * s['lr']
+
+                if early_stop == 5:
+                    break
+
+
+		# shuffle
+		shuffle([train_data], e+1) # s['seed'])
+		
+		for i in range(n_train):
+		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
+		   
+		 	        
+     
+	        # Dev:
+	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
+                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
+	        for ii in range(n_dev):
+	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
+	            for j in range(len(pred)):
+	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
+                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
+
+
+		# Test:
+		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(n_test):
+		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
+		    for j in range(len(pred)):
+		        counts_test[pred[j], test_data[i][2][j]] += 1
+                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
+		
+		# Train
+		counts = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(len(train_data)):
+		    
+		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
+		    	pred  = rnn.classify(train_data[i][0],train_data[i][1], train_data[i][3])
+		    	for j in range(len(pred)):
+		    	    counts[pred[j], train_data[i][2][j]] += 1
+                   	counts_root[pred[-1], train_data[i][2][-1]] += 1
+
+		print("epoch: ", e,
+		      "V all: ", "%0.2f" % (100 * np.diag(counts_dev).sum()/float(counts_dev.sum())), 
+		      "   Test all: ", "%0.2f" % (100 * np.diag(counts_test).sum()/float(counts_test.sum())), 
+                      "V root: ", "%0.2f" % (100 * np.diag(counts_dev_root).sum()/float(counts_dev_root.sum())), 
+		      "   Test root: ", "%0.2f" % (100 * np.diag(counts_test_root).sum()/float(counts_test_root.sum())), 
+		      "   Train: ", "%0.2f" % (100 * np.diag(counts).sum()/float(counts.sum())), 
+		      "   Train root: ", "%0.2f" % (100 * np.diag(counts_root).sum()/float(counts_root.sum()))  
+		     )
+
+	     
+	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all or (e > 5 and np.diag(counts_dev).sum()/float(counts_dev.sum()) >= best_prediction_valid_all):
+                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
+		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
+		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
+
+                    early_stop = 0
+                else:
+                    early_stop = early_stop + 1
+
+
+	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
+
+
+    for h_dim in [10,30,50,75,100]:#[30, 50, 75, 100]: 
+
+    	    np.random.seed(s['seed'])
+	    random.seed(s['seed'])
+
+	    # Generate a theano RandomStreams
+	    srng = RandomStreams(12345)
+
 
-    	    rnn = LSTM_1(   h_dim,
+    	    rnn = LSTM_6_2(   h_dim,
              	            nc = s['nc'],
                 	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-               	            max_phrase_length = 60 )
+               	            max_phrase_length = 60,
+			    #dropout_rate = s['dropout_rate'],
+			    #srng = srng
+			)
 	
        
 	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
-	    train_data_check = train_data 
+	    #train_data_check = train_data 
 	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
 	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
 
@@ -84,7 +314,7 @@ if __name__ == '__main__':
 
 	    print ""
 	    #print "model 56 : h_dim = ", h_dim, "h2_dim = ", h2_dim, "h3_dim = ", h3_dim, " learning rate = ", s['lr']#, "dropout rate: ", dropout_rate
-	    print "model LSTM_` : " , "h_dim = ", h_dim
+	    print "model LSTM_6_2 : " , "h_dim = ", h_dim, " learning rate = ", s['lr'], " batch_size = ", batch_size#, " dropout_rate = ", s['dropout_rate'] 
 	    print ""
 
             best_prediction_valid_all = 0
@@ -100,12 +330,12 @@ if __name__ == '__main__':
 		#if e >= 1:
 		#    s['lr'] = 0.8 * s['lr']
 
-                if early_stop == 10:
+                if early_stop == 5:
                     break
 
 
 		# shuffle
-		shuffle([train_data], s['seed'])
+		shuffle([train_data], e+1) # s['seed'])
 		
 		for i in range(n_train):
 		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
@@ -134,13 +364,13 @@ if __name__ == '__main__':
 		# Train
 		counts = np.zeros((s['nc'],s['nc']),dtype='int')
 		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(len(train_data_check)):
+		for i in range(len(train_data)):
 		    
 		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
-		    	pred  = rnn.classify(train_data_check[i][0],train_data_check[i][1], train_data_check[i][3])
+		    	pred  = rnn.classify(train_data[i][0],train_data[i][1], train_data[i][3])
 		    	for j in range(len(pred)):
-		    	    counts[pred[j], train_data_check[i][2][j]] += 1
-                   	counts_root[pred[-1], train_data_check[i][2][-1]] += 1
+		    	    counts[pred[j], train_data[i][2][j]] += 1
+                   	counts_root[pred[-1], train_data[i][2][-1]] += 1
 
 		print("epoch: ", e,
 		      "V all: ", "%0.2f" % (100 * np.diag(counts_dev).sum()/float(counts_dev.sum())), 
@@ -152,7 +382,7 @@ if __name__ == '__main__':
 		     )
 
 	     
-	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
+	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all or (e > 5 and np.diag(counts_dev).sum()/float(counts_dev.sum()) >= best_prediction_valid_all):
                     best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
 		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
 		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
@@ -164,3 +394,226 @@ if __name__ == '__main__':
 
 	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
 
+
+
+    for h_dim in [10,30,50,75,100]:#[30, 50, 75, 100]: 
+
+    	    np.random.seed(s['seed'])
+	    random.seed(s['seed'])
+
+	    # Generate a theano RandomStreams
+	    srng = RandomStreams(12345)
+
+
+    	    rnn = LSTM_7(   h_dim,
+             	            nc = s['nc'],
+                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
+               	            max_phrase_length = 60,
+			    #dropout_rate = s['dropout_rate'],
+			    #srng = srng
+			)
+	
+       
+	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
+	    #train_data_check = train_data 
+	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
+	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
+
+	    n_train = len(train_data)
+	    n_dev = len(dev_data)
+	    n_test = len(test_data)
+
+	    print ""
+	    #print "model 56 : h_dim = ", h_dim, "h2_dim = ", h2_dim, "h3_dim = ", h3_dim, " learning rate = ", s['lr']#, "dropout rate: ", dropout_rate
+	    print "model LSTM_7 : " , "h_dim = ", h_dim, " learning rate = ", s['lr'], " batch_size = ", batch_size#, " dropout_rate = ", s['dropout_rate'] 
+	    print ""
+
+            best_prediction_valid_all = 0
+            best_prediction_test_all = 0
+            best_prediction_test_root = 0
+            early_stop = 0
+
+
+	    tic = time.time()
+
+	    for e in xrange(s['nepochs']):
+
+		#if e >= 1:
+		#    s['lr'] = 0.8 * s['lr']
+
+                if early_stop == 5:
+                    break
+
+
+		# shuffle
+		shuffle([train_data], e+1) # s['seed'])
+		
+		for i in range(n_train):
+		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
+		   
+		 	        
+     
+	        # Dev:
+	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
+                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
+	        for ii in range(n_dev):
+	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
+	            for j in range(len(pred)):
+	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
+                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
+
+
+		# Test:
+		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(n_test):
+		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
+		    for j in range(len(pred)):
+		        counts_test[pred[j], test_data[i][2][j]] += 1
+                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
+		
+		# Train
+		counts = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(len(train_data)):
+		    
+		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
+		    	pred  = rnn.classify(train_data[i][0],train_data[i][1], train_data[i][3])
+		    	for j in range(len(pred)):
+		    	    counts[pred[j], train_data[i][2][j]] += 1
+                   	counts_root[pred[-1], train_data[i][2][-1]] += 1
+
+		print("epoch: ", e,
+		      "V all: ", "%0.2f" % (100 * np.diag(counts_dev).sum()/float(counts_dev.sum())), 
+		      "   Test all: ", "%0.2f" % (100 * np.diag(counts_test).sum()/float(counts_test.sum())), 
+                      "V root: ", "%0.2f" % (100 * np.diag(counts_dev_root).sum()/float(counts_dev_root.sum())), 
+		      "   Test root: ", "%0.2f" % (100 * np.diag(counts_test_root).sum()/float(counts_test_root.sum())), 
+		      "   Train: ", "%0.2f" % (100 * np.diag(counts).sum()/float(counts.sum())), 
+		      "   Train root: ", "%0.2f" % (100 * np.diag(counts_root).sum()/float(counts_root.sum()))  
+		     )
+
+	     
+	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all or (e > 5 and np.diag(counts_dev).sum()/float(counts_dev.sum()) >= best_prediction_valid_all):
+                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
+		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
+		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
+
+                    early_stop = 0
+                else:
+                    early_stop = early_stop + 1
+
+
+	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
+
+
+    for h_dim in [10,30,50,75,100]:#[30, 50, 75, 100]: 
+
+    	    np.random.seed(s['seed'])
+	    random.seed(s['seed'])
+
+	    # Generate a theano RandomStreams
+	    srng = RandomStreams(12345)
+
+
+    	    rnn = LSTM_1_3(   h_dim,
+             	            nc = s['nc'],
+                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
+               	            max_phrase_length = 60,
+			    dropout_rate = s['dropout_rate'],
+			    srng = srng
+			)
+	
+       
+	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
+	    #train_data_check = train_data 
+	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
+	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
+
+	    n_train = len(train_data)
+	    n_dev = len(dev_data)
+	    n_test = len(test_data)
+
+	    print ""
+	    #print "model 56 : h_dim = ", h_dim, "h2_dim = ", h2_dim, "h3_dim = ", h3_dim, " learning rate = ", s['lr']#, "dropout rate: ", dropout_rate
+	    print "model LSTM_1_3 : " , "h_dim = ", h_dim, " learning rate = ", s['lr'], " batch_size = ", batch_size, " dropout_rate = ", s['dropout_rate'] 
+	    print ""
+
+            best_prediction_valid_all = 0
+            best_prediction_test_all = 0
+            best_prediction_test_root = 0
+            early_stop = 0
+
+
+	    tic = time.time()
+
+	    for e in xrange(s['nepochs']):
+
+		#if e >= 1:
+		#    s['lr'] = 0.8 * s['lr']
+
+                if early_stop == 5:
+                    break
+
+
+		# shuffle
+		shuffle([train_data], e+1) # s['seed'])
+		
+		for i in range(n_train):
+		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
+		   
+		 	        
+     
+	        # Dev:
+	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
+                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
+	        for ii in range(n_dev):
+	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
+	            for j in range(len(pred)):
+	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
+                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
+
+
+		# Test:
+		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(n_test):
+		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
+		    for j in range(len(pred)):
+		        counts_test[pred[j], test_data[i][2][j]] += 1
+                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
+		
+		# Train
+		counts = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(len(train_data)):
+		    
+		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
+		    	pred  = rnn.classify(train_data[i][0],train_data[i][1], train_data[i][3])
+		    	for j in range(len(pred)):
+		    	    counts[pred[j], train_data[i][2][j]] += 1
+                   	counts_root[pred[-1], train_data[i][2][-1]] += 1
+
+		print("epoch: ", e,
+		      "V all: ", "%0.2f" % (100 * np.diag(counts_dev).sum()/float(counts_dev.sum())), 
+		      "   Test all: ", "%0.2f" % (100 * np.diag(counts_test).sum()/float(counts_test.sum())), 
+                      "V root: ", "%0.2f" % (100 * np.diag(counts_dev_root).sum()/float(counts_dev_root.sum())), 
+		      "   Test root: ", "%0.2f" % (100 * np.diag(counts_test_root).sum()/float(counts_test_root.sum())), 
+		      "   Train: ", "%0.2f" % (100 * np.diag(counts).sum()/float(counts.sum())), 
+		      "   Train root: ", "%0.2f" % (100 * np.diag(counts_root).sum()/float(counts_root.sum()))  
+		     )
+
+	     
+	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all or (e > 5 and np.diag(counts_dev).sum()/float(counts_dev.sum()) >= best_prediction_valid_all):
+                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
+		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
+		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
+
+                    early_stop = 0
+                else:
+                    early_stop = early_stop + 1
+
+
+	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
+
+
+
diff --git a/main_for_experiments_on_polish_data_MLP2.py b/main_for_experiments_on_polish_data_MLP2.py
index b3a6e2f..20a47d7 100644
--- a/main_for_experiments_on_polish_data_MLP2.py
+++ b/main_for_experiments_on_polish_data_MLP2.py
@@ -5,7 +5,7 @@ import subprocess
 import os
 import random
 
-#from modules.data import load
+from modules.rnn.models import * 
 from modules.rnn.models_with_relations import *
 #from modules.metrics.accuracy import conlleval
 from modules.utils.tools import load_stanford_data6, shuffle
@@ -57,17 +57,17 @@ if __name__ == '__main__':
 	 'nepochs':40,
          'seed':345,
          'nc':3         # number of y classes
-         }  
+        }  
     batch_size = 1
    
 
-    for h_dim in [50]: 
+    for h_dim in [100]: 
 
     	    np.random.seed(s['seed'])
 	    random.seed(s['seed'])
 
 
-    	    rnn = MLP_2_1(   h_dim, h_dim,
+    	    rnn = model55_pf1(   h_dim, h_dim,
              	            nc = s['nc'],
                 	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
                	            max_phrase_length = 60 )
@@ -79,7 +79,7 @@ if __name__ == '__main__':
 
 #############################################################################################
 
-						NIE MA RELACJI DLA POLSKICH DANYCH
+						#NIE MA RELACJI DLA POLSKICH DANYCH
 
 #############################################################################################
 
@@ -94,7 +94,7 @@ if __name__ == '__main__':
 
 	    print ""
 	    #print "model 56 : h_dim = ", h_dim, "h2_dim = ", h2_dim, "h3_dim = ", h3_dim, " learning rate = ", s['lr']#, "dropout rate: ", dropout_rate
-	    print "model LSTM_` : " , "h_dim = ", h_dim
+	    print "model LSTM_2_1 : " , "h_dim = ", h_dim
 	    print ""
 
             best_prediction_valid_all = 0
diff --git a/main_for_experiments_on_polish_data_final.py b/main_for_experiments_on_polish_data_final.py
index 7658d5a..05ee2af 100644
--- a/main_for_experiments_on_polish_data_final.py
+++ b/main_for_experiments_on_polish_data_final.py
@@ -4,11 +4,12 @@ import sys
 import subprocess
 import os
 import random
+import pandas as pd
 
 #from modules.data import load
-#from modules.rnn.many_models import *
+from modules.rnn.models import *
 #from modules.metrics.accuracy import conlleval
-from modules.utils.tools import *
+from modules.utils.tools import load_stanford_data4_2, shuffle
 
 from theano import pp
 
@@ -31,4224 +32,154 @@ from theano.ifelse import ifelse
 
 from keras.preprocessing import sequence as seq
 
-dataType = 'int64'
-
-
-
-def shuffle(lol, seed):
-    '''
-    lol :: list of list as input
-    seed :: seed the shuffling
-
-    shuffle inplace each list in the same order
-    '''
-    for l in lol:
-        random.seed(seed)
-        random.shuffle(l)
-
-def words_in_from_down_to_top_order(sentence_tree):
-    #print sentence_tree
-    levels = np.setdiff1d(range(len(sentence_tree)),np.unique(sentence_tree)) # - zwraca slowo/a, ktore nie jest niczyim dzieckiem - czyli powinno/y byc korzeniem/korzeniami frazy/fraz
-    if len(levels) == 0: # wczesniej bylo != 1, co oznaczalo, ze jezeli okazuje sie jest wiecej niz jeden korzec (lub nie ma korzenia) to zwracamy None, aby pozniej rozpoznac takie zdanie i je wywalic. Ale jak robimy batche to musi byc kilka korzeni
-        return None, None
-    levels = levels.tolist() 
-
-    for i in range(len(sentence_tree)):
-        #print i
-        #print levels[i]
-	x = np.setdiff1d(sentence_tree[levels[i]],-1)
-        levels.extend(x[x<len(sentence_tree)])
-            
-    ordered_words = np.array(levels)[levels != np.array(-1)][::-1] #odwaracmy kolejnosc na poczatku beda slowa znajdujace sie najglebiej
-    
-    order = np.zeros(len(sentence_tree),dtype='int')
-    for i in range(len(sentence_tree)):
-        order[ordered_words[i]] = i
-
-    return ordered_words, order
-
-
-
-def load_stanford_data4(labels, parents, tokens, words2ids, use_batch, batch_size, nb_classes):
-
-    def transform_labels(x, nb_classes):
-        if nb_classes == 3:
-            if x =='#' or int(x) == 0:
-                return 1
-            elif int(x) < 0:
-                return 0
-            else:
-                return 2
-        elif nb_classes == 5:
-            if x =='#':
-                return 2
-            else:
-                return int(x)+2
-       # elif nb_classes == 2: #jesli chcemy miec dwie klasy to neutralne wyrzucamy ze zbioru, 
-       #     if x =='#' or int(x) == 0:
-       #         return -1
-       #     elif int(x) < 0:
-       #         return 0
-       #     else:
-       #         return 1
-
-    sentences = []
-
-    l = open(labels, "r")
-    # 5 klas: labels = [[2 if y=='#' else int(y)+2 for y in x.split()] for x in l.readlines()] 
-
-    # Na ten moment przyjmujemy wartosc "2" w miejsce "#"
-
-    labels = [[transform_labels(y,nb_classes) for y in x.split()] for x in l.readlines()] 
-    l.close()
-
-    p = open(parents,"r")
-    parents = [[int(y) for y in x.split()] for x in p.readlines()]
-    p.close()
-
-    t = open(tokens,"r")
-    tokens = [x.split() for x in t.readlines()]
-    t.close()
-    
-    
-    k = 0
-    sentence_length = 0
-    current_batch, batch_tokens, batch_children_ids, batch_children_positions, batch_labels = [], [], [], [], []
-    batch_words = []
-    
-    for labels_i,parents_i,tokens_i in zip(labels,parents,tokens):
-        
-        k = k + 1
-         
-        s = []
-        for i in range(len(tokens_i)):
-            s.append([i,int(parents_i[i]),labels_i[i],tokens_i[i]])
-
-        if len(s) == 1 and use_batch == False: #przypadek gdy fraza sklada sie z jednego tokena
-
-            #if nb_classes == 2:
-            #    if s[0][-1] < 0:
-            #        continue
-
-            sentences.append([\
-                                  np.array([words2ids.get(tokens[0], -1)]),\
-                                  #wyrzucamy macierz id dzieci np.array([-1], ndmin=2),\
-                                  np.array([-1], ndmin=2), \
-                                  np.array(labels_i[0]) \
-                                  #,np.array([0])
-                              ])    
-                                
-        else: 
-
-            for i in range(len(s)): # nie wiem czy sie nie wywali dla frazy dlugosci 1
-                children = []
-                for j in range(len(s)):
-                    if s[j][1] == i+1:
-                        children.append(s[j][0])
-                s[i].append(children)
-
-            words = [x[0] for x in s]
-            children = seq.pad_sequences([x[4] for x in s], padding='post', value = -1)
-            tokens = [x[3] for x in s]
-            labels_in_batch = [x[2] for x in s]
-            
-            ordered_words, order = words_in_from_down_to_top_order(children)
-
-            if ordered_words is None: 
-                continue
-
-            current_sentence = [
-                                  np.array([words2ids.get(x,-1) for x in tokens])[ordered_words],
-                                  #wyrzucamy macierz id dzieci np.array([[words2ids.get(tokens[w],-1) if w>=0 else -1 for w in x] 
-                                  #             for x in children[ordered_words]]), 
-                                  np.array([[order[w] if w>= 0 else -1 for w in x] for x in children[ordered_words]]), 
-                                  np.array(labels_in_batch)[ordered_words] 
-                                  ,np.array(words)
-                                  ]
-            #if nb_classes == 2:
-            #    if current_sentence[3][-1] <0:
-            #        continue
-
-            if use_batch == True:
-                
-                # w tej chwili len(current_sentence[0]) nie jest nigdzie wykorzystywane
-                current_batch.append((current_sentence, len(current_sentence[0])))
-                
-                if len(current_batch) % batch_size == 0:
-
-                    shift = 0
-                    
-                    for sent in range(batch_size):
-                        
-                        ##if sent > 0:
-                        ##    shift = shift + current_batch[sent-1][1]
-                        
-                        for tok in range(len(current_batch[sent][0][0])):
-                            
-                            if sent == 0:
-                                batch_children_positions.append(current_batch[sent][0][1][tok])
-                            else:
-                                batch_children_positions.append([chd+shift if chd>=0 else -1 for chd in current_batch[sent][0][1][tok]])
-                            #batch_children_positions.append(current_batch[sent][0][2][tok])
-
-                            batch_tokens.append(current_batch[sent][0][0][tok])   
-                            #wyrzucamy macierz id dzieci batch_children_ids.append(current_batch[sent][0][1][tok])
-                            batch_labels.append(current_batch[sent][0][2][tok])
-                            batch_words.append(current_batch[sent][0][3][tok])
-                                                               
-                    #wyrzucamy macierz id dzieci batch_children_ids = seq.pad_sequences(batch_children_ids, padding='post', value = -1)
-                    batch_children_positions = seq.pad_sequences(batch_children_positions, padding='post', value = -1)
-                    
-                    sentences.append([
-                                        np.array(batch_tokens), 
-                                        #wyrzucamy macierz id dzieci np.array(batch_children_ids), 
-                                        np.array(batch_children_positions), 
-                                        np.array(batch_labels)
-                                        ,np.array(batch_words)
-                                    ])
-                    
-                    current_batch, batch_tokens, batch_children_positions, batch_labels = [], [], [], []
-                    batch_words = []
-                                       
-            else:
-                
-                sentences.append(current_sentence)
-
-            
-    # gdy liczba zdan nie jest wilokrotnosci licznosci batch, to na koncu trzeba dodac pozostale zdania:
-    if use_batch == True and len(current_batch) > 0:
-        
-        shift = 0
-
-        for sent in range(len(current_batch)):
- 
-            #if sent > 0:
-            #    shift = shift + current_batch[sent-1][1]
-
-            for tok in range(len(current_batch[sent][0][0])):
-
-                if sent == 0:
-                    batch_children_positions.append(current_batch[sent][0][1][tok])
-                else:
-                    batch_children_positions.append([chd+shift if chd>=0 else -1 for chd in current_batch[sent][0][1][tok]])
-                #batch_children_positions.append(current_batch[sent][0][2][tok])
-
-                batch_tokens.append(current_batch[sent][0][0][tok])
-                #wyrzucamy macierz id dzieci batch_children_ids.append(current_batch[sent][0][1][tok])
-                batch_labels.append(current_batch[sent][0][2][tok])
-                batch_words.append(current_batch[sent][0][3][tok])
-
-
-        #wyrzucamy macierz id dzieci batch_children_ids = seq.pad_sequences(batch_children_ids, padding='post', value = -1)
-        batch_children_positions = seq.pad_sequences(batch_children_positions, padding='post', value = -1)
-
-        sentences.append([
-                            np.array(batch_tokens), 
-                            #wyrzucamy macierz id dzieci np.array(batch_children_ids), 
-                            np.array(batch_children_positions), 
-                            np.array(batch_labels)
-                            ,np.array(batch_words)
-                        ])
-           
-    return sentences
-
-
-
-
-
-class model55_pf1(object):  
-    def __init__(self, ne, nchd, nc, w2v_model_path, max_phrase_length): 
-        '''
-        nh :: dimension of hidden state
-        nc :: number of classes
-        ne :: number of word embeddings in the vocabulary
-        de :: dimension of the word embeddings
-        ds :: dimension of the sentiment state
-        '''
-        self.max_phrase_length = max_phrase_length
-        w2vecs = pickle.load(open(w2v_model_path,"r"))
-        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
-        self.words2ids = w2vecs["words2ids"]
-
-        #ne = len(w2vecs["words2ids"])
-        de = w2vecs["vectors"].shape[1]
-        del w2vecs
-
-        r = 0.05
-        self.W_e_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (de, ne)).astype(theano.config.floatX))
-        self.W_h_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nc)).astype(theano.config.floatX))
-
-        self.W_sh_h   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nchd)).astype(theano.config.floatX))
-
-        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
-
-  
-        def one_step(word_id, word_children_positions, y_true, i, hidden_states, learning_rate):
-
-	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
-
-	    tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-            h = T.tanh(T.concatenate([T.dot(self.emb[word_id],self.W_e_h), T.dot(schh,self.W_sh_h)]))
- 
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h,self.W_h_y) + self.b_y)[0]
-	
-	    #l2_norm = T.sum(self.W_h_h2**2) + T.sum(self.W_h2_y**2) + T.sum(self.W_e_h**2) + T.sum(self.W_sh_h**2) + T.sum(self.emb**2) + T.sum(self.b_h**2) + T.sum(self.b_y**2)
-
-            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
-                                 
-            return cross_entropy, hidden_states_new  
-
-
-        y = T.vector('y',dtype=dataType)
-        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
-	words = T.vector(dtype=dataType)
-        children_positions = T.matrix(dtype=dataType)
-	words_indexes = T.vector(dtype=dataType)
-
-	cross_entropy_vector, _ = theano.scan(fn=one_step, \
-                                 sequences = [words, children_positions,y,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))],
-                                 non_sequences = learning_rate,
-                                 n_steps = words.shape[0])
-	cost = T.sum(cross_entropy_vector[0])
-
-        updates = OrderedDict([
-			(self.W_h_y, self.W_h_y-learning_rate*T.grad(cost, self.W_h_y)),
-			(self.W_e_h, self.W_e_h-learning_rate*T.grad(cost, self.W_e_h)),
-			(self.W_sh_h, self.W_sh_h-learning_rate*T.grad(cost, self.W_sh_h)),
-			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
-                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
-			])
-
-	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
-                                      outputs = [],
-                                      updates = updates,
-                                      allow_input_downcast=True,
-                                      mode='FAST_RUN'
-                                      )
-
- 
-        def one_step_classify(word_id, word_children_positions, i, hidden_states):
-
-	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
-
-            tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-            h = T.tanh(T.concatenate([T.dot(self.emb[word_id],self.W_e_h), T.dot(schh,self.W_sh_h)]) )
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h,self.W_h_y) + self.b_y)[0]                  
-
-            return  y_prob, hidden_states_new 
-        
-
-	[y_probs_classify, hidden_states ], _ = theano.scan(
-				 fn=one_step_classify, 
-                                 sequences = [words, children_positions,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))])
-	
-	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
-                                     sequences = [words_indexes])
-
-        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
-                                     outputs=predictions,
-                                     allow_input_downcast=True,
-                                     mode='FAST_RUN' 
-                                     )
-
-
-
-class model55_pf2(object):  
-    def __init__(self, ne, nchd, nh2, nc, w2v_model_path, max_phrase_length): 
-        '''
-        nh :: dimension of hidden state
-        nc :: number of classes
-        ne :: number of word embeddings in the vocabulary
-        de :: dimension of the word embeddings
-        ds :: dimension of the sentiment state
-        '''
-        self.max_phrase_length = max_phrase_length
-        w2vecs = pickle.load(open(w2v_model_path,"r"))
-        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
-        self.words2ids = w2vecs["words2ids"]
-
-        #ne = len(w2vecs["words2ids"])
-        de = w2vecs["vectors"].shape[1]
-        del w2vecs
-
-        r = 0.05
-    
-        self.W_e_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (de, ne)).astype(theano.config.floatX))
-
-        self.W_sh_h   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nchd)).astype(theano.config.floatX))
-
-        self.W_h_h2   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nh2)).astype(theano.config.floatX))
-        self.W_h2_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh2, nc)).astype(theano.config.floatX))
-
-        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
-
-  
-        def one_step(word_id, word_children_positions, y_true, i, hidden_states, learning_rate):
-
-	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
-
-	    tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-            h = T.tanh(T.concatenate([T.dot(self.emb[word_id],self.W_e_h), T.dot(schh,self.W_sh_h)]))
-            #h = T.nnet.sigmoid(T.dot(self.emb[word_id],self.W_eh) + T.dot(schh,self.W_shsh) + self.bh)
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            h2 = T.tanh(T.dot(h, self.W_h_h2))
-
-            y_prob = T.nnet.softmax(T.dot(h2,self.W_h2_y) + self.b_y)[0]
-	
-            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
-                                 
-            return cross_entropy, hidden_states_new  
-
-
-        y = T.vector('y',dtype=dataType)
-        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
-	words = T.vector(dtype=dataType)
-        children_positions = T.matrix(dtype=dataType)
-	words_indexes = T.vector(dtype=dataType)
-
-	cross_entropy_vector, _ = theano.scan(fn=one_step, \
-                                 sequences = [words, children_positions,y,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))],
-                                 non_sequences = learning_rate,
-                                 n_steps = words.shape[0])
-	cost = T.sum(cross_entropy_vector[0])
-
-        updates = OrderedDict([
-			(self.W_h_h2, self.W_h_h2-learning_rate*T.grad(cost, self.W_h_h2)),
-			(self.W_h2_y, self.W_h2_y-learning_rate*T.grad(cost, self.W_h2_y)),
-			(self.W_e_h, self.W_e_h-learning_rate*T.grad(cost, self.W_e_h)),
-			(self.W_sh_h, self.W_sh_h-learning_rate*T.grad(cost, self.W_sh_h)),
-			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
-                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
-			])
-
-	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
-                                      outputs = [],
-                                      updates = updates,
-                                      allow_input_downcast=True,
-                                      mode='FAST_RUN'
-                                      )
-
- 
-        def one_step_classify(word_id, word_children_positions, i, hidden_states):
-
-	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
-
-            tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-            h = T.tanh(T.concatenate([T.dot(self.emb[word_id],self.W_e_h), T.dot(schh,self.W_sh_h)]))  
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            h2 = T.tanh(T.dot(h, self.W_h_h2))
-
-            y_prob = T.nnet.softmax(T.dot(h2,self.W_h2_y) + self.b_y)[0]                  
-
-            return  y_prob, hidden_states_new 
-        
-
-	[y_probs_classify, hidden_states ], _ = theano.scan(
-				 fn=one_step_classify, 
-                                 sequences = [words, children_positions,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))])
-	
-	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
-                                     sequences = [words_indexes])
-
-        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
-                                     outputs=predictions,
-                                     allow_input_downcast=True,
-                                     mode='FAST_RUN' 
-                                     )
-
-
-
-
-class model55_pf3(object):  
-    def __init__(self, ne, nchd, nh2, nh3, nc, w2v_model_path, max_phrase_length): 
-        '''
-        nh :: dimension of hidden state
-        nc :: number of classes
-        ne :: number of word embeddings in the vocabulary
-        de :: dimension of the word embeddings
-        ds :: dimension of the sentiment state
-        '''
-        self.max_phrase_length = max_phrase_length
-        w2vecs = pickle.load(open(w2v_model_path,"r"))
-        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
-        self.words2ids = w2vecs["words2ids"]
-
-        #ne = len(w2vecs["words2ids"])
-        de = w2vecs["vectors"].shape[1]
-        del w2vecs
-
-        r = 0.05
-        self.W_e_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (de, ne)).astype(theano.config.floatX))
-        self.W_sh_h   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nchd)).astype(theano.config.floatX))
-
-        self.W_h_h2   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nh2)).astype(theano.config.floatX))
-        self.W_h2_h3   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh2, nh3)).astype(theano.config.floatX))
-        self.W_h3_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh3, nc)).astype(theano.config.floatX))
-
-
-        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
-
-  
-        def one_step(word_id, word_children_positions, y_true, i, hidden_states, learning_rate):
-
-	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
-
-	    tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-            h = T.tanh(T.concatenate([T.dot(self.emb[word_id],self.W_e_h), T.dot(schh,self.W_sh_h)]))
-            #h = T.nnet.sigmoid(T.dot(self.emb[word_id],self.W_eh) + T.dot(schh,self.W_shsh) + self.bh)
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            h2 = T.tanh(T.dot(h, self.W_h_h2))
-
-            h3 = T.tanh(T.dot(h2, self.W_h2_h3))
-
-            y_prob = T.nnet.softmax(T.dot(h3,self.W_h3_y) + self.b_y)[0]
-	
-	    #l2_norm = T.sum(self.W_h_h2**2) + T.sum(self.W_h2_y**2) + T.sum(self.W_e_h**2) + T.sum(self.W_sh_h**2) + T.sum(self.emb**2) + T.sum(self.b_h**2) + T.sum(self.b_y**2)
-
-            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
-                                 
-            return cross_entropy, hidden_states_new  
-
-
-        y = T.vector('y',dtype=dataType)
-        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
-	words = T.vector(dtype=dataType)
-        children_positions = T.matrix(dtype=dataType)
-	words_indexes = T.vector(dtype=dataType)
-
-	cross_entropy_vector, _ = theano.scan(fn=one_step, \
-                                 sequences = [words, children_positions,y,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))],
-                                 non_sequences = learning_rate,
-                                 n_steps = words.shape[0])
-	cost = T.sum(cross_entropy_vector[0])
-
-        updates = OrderedDict([
-			(self.W_h_h2, self.W_h_h2-learning_rate*T.grad(cost, self.W_h_h2)),
-			(self.W_h2_h3, self.W_h2_h3-learning_rate*T.grad(cost, self.W_h2_h3)),
-			(self.W_h3_y, self.W_h3_y-learning_rate*T.grad(cost, self.W_h3_y)),
-			(self.W_e_h, self.W_e_h-learning_rate*T.grad(cost, self.W_e_h)),
-			(self.W_sh_h, self.W_sh_h-learning_rate*T.grad(cost, self.W_sh_h)),
-			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
-                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
-			])
-
-	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
-                                      outputs = [],
-                                      updates = updates,
-                                      allow_input_downcast=True,
-                                      mode='FAST_RUN'
-                                      )
-
- 
-        def one_step_classify(word_id, word_children_positions, i, hidden_states):
-
-	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
-
-            tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-            h = T.tanh(T.concatenate([T.dot(self.emb[word_id],self.W_e_h), T.dot(schh,self.W_sh_h)])  )
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            h2 = T.tanh(T.dot(h, self.W_h_h2))
-
-            h3 = T.tanh(T.dot(h2, self.W_h2_h3))
-
-            y_prob = T.nnet.softmax(T.dot(h3,self.W_h3_y) + self.b_y)[0]                  
-
-            return  y_prob, hidden_states_new 
-        
-
-	[y_probs_classify, hidden_states ], _ = theano.scan(
-				 fn=one_step_classify, 
-                                 sequences = [words, children_positions,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))])
-	
-	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
-                                     sequences = [words_indexes])
-
-        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
-                                     outputs=predictions,
-                                     allow_input_downcast=True,
-                                     mode='FAST_RUN' 
-                                     )
-
-
-
-
-
-
-class model55_pf4(object):  
-    def __init__(self, neh, ne, nchd, nc, w2v_model_path, max_phrase_length): 
-        '''
-        nh :: dimension of hidden state
-        nc :: number of classes
-        ne :: number of word embeddings in the vocabulary
-        de :: dimension of the word embeddings
-        ds :: dimension of the sentiment state
-        '''
-        self.max_phrase_length = max_phrase_length
-        w2vecs = pickle.load(open(w2v_model_path,"r"))
-        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
-        self.words2ids = w2vecs["words2ids"]
-
-        de = w2vecs["vectors"].shape[1]
-        del w2vecs
-
-        r = 0.05
-        self.W_e_eh  = theano.shared(r * np.random.uniform(-1.0, 1.0, (de, neh)).astype(theano.config.floatX))
-
-        self.W_eh_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (neh, ne)).astype(theano.config.floatX))
-
-        self.W_h_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nc)).astype(theano.config.floatX))
-
-        self.W_sh_h   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nchd)).astype(theano.config.floatX))
-
-        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
-
-  
-        def one_step(word_id, word_children_positions, y_true, i, hidden_states, learning_rate):
-
-	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
-
-	    tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-    
-	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
-
-            h = T.tanh(T.concatenate([T.dot(eh, self.W_eh_h), T.dot(schh,self.W_sh_h)]))
- 
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h,self.W_h_y) + self.b_y)[0]
-	
-	    #l2_norm = T.sum(self.W_h_h2**2) + T.sum(self.W_h2_y**2) + T.sum(self.W_e_h**2) + T.sum(self.W_sh_h**2) + T.sum(self.emb**2) + T.sum(self.b_h**2) + T.sum(self.b_y**2)
-
-            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
-                                 
-            return cross_entropy, hidden_states_new  
-
-
-        y = T.vector('y',dtype=dataType)
-        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
-	words = T.vector(dtype=dataType)
-        children_positions = T.matrix(dtype=dataType)
-	words_indexes = T.vector(dtype=dataType)
-
-	cross_entropy_vector, _ = theano.scan(fn=one_step, \
-                                 sequences = [words, children_positions,y,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))],
-                                 non_sequences = learning_rate,
-                                 n_steps = words.shape[0])
-	cost = T.sum(cross_entropy_vector[0])
-
-        updates = OrderedDict([
-			(self.W_h_y, self.W_h_y-learning_rate*T.grad(cost, self.W_h_y)),
-			(self.W_e_eh, self.W_e_eh-learning_rate*T.grad(cost, self.W_e_eh)),
-			(self.W_eh_h, self.W_eh_h-learning_rate*T.grad(cost, self.W_eh_h)),
-			(self.W_sh_h, self.W_sh_h-learning_rate*T.grad(cost, self.W_sh_h)),
-			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
-                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
-			])
-
-	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
-                                      outputs = [],
-                                      updates = updates,
-                                      allow_input_downcast=True,
-                                      mode='FAST_RUN'
-                                      )
-
- 
-        def one_step_classify(word_id, word_children_positions, i, hidden_states):
-
-	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
-
-            tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
-
-            h = T.tanh(T.concatenate([T.dot(eh, self.W_eh_h), T.dot(schh,self.W_sh_h)]))
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h,self.W_h_y) + self.b_y)[0]                  
-
-            return  y_prob, hidden_states_new 
-        
-
-	[y_probs_classify, hidden_states ], _ = theano.scan(
-				 fn=one_step_classify, 
-                                 sequences = [words, children_positions,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))])
-	
-	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
-                                     sequences = [words_indexes])
-
-        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
-                                     outputs=predictions,
-                                     allow_input_downcast=True,
-                                     mode='FAST_RUN' 
-                                     )
-
-
-
-
-
-
-class model55_pf5(object):  
-    def __init__(self, ne, nshh, nchd, nc, w2v_model_path, max_phrase_length): 
-        '''
-        nh :: dimension of hidden state
-        nc :: number of classes
-        ne :: number of word embeddings in the vocabulary
-        de :: dimension of the word embeddings
-        ds :: dimension of the sentiment state
-        '''
-        self.max_phrase_length = max_phrase_length
-        w2vecs = pickle.load(open(w2v_model_path,"r"))
-        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
-        self.words2ids = w2vecs["words2ids"]
-
-        #ne = len(w2vecs["words2ids"])
-        de = w2vecs["vectors"].shape[1]
-        del w2vecs
-
-        r = 0.05
-        self.W_e_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (de, ne)).astype(theano.config.floatX))
-
-        
-        self.W_h_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nc)).astype(theano.config.floatX))
-
-        self.W_sh_shh   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nshh)).astype(theano.config.floatX))
-
-	self.W_shh_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (nshh, nchd)).astype(theano.config.floatX))
-
-
-        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
-
-  
-        def one_step(word_id, word_children_positions, y_true, i, hidden_states, learning_rate):
-
-	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
-
-	    tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
-
-            h = T.tanh(T.concatenate([T.dot(self.emb[word_id], self.W_e_h), T.dot(shh,self.W_shh_h)]))
- 
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h,self.W_h_y) + self.b_y)[0]
-	
-	    #l2_norm = T.sum(self.W_h_h2**2) + T.sum(self.W_h2_y**2) + T.sum(self.W_e_h**2) + T.sum(self.W_sh_h**2) + T.sum(self.emb**2) + T.sum(self.b_h**2) + T.sum(self.b_y**2)
-
-            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
-                                 
-            return cross_entropy, hidden_states_new  
-
-
-        y = T.vector('y',dtype=dataType)
-        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
-	words = T.vector(dtype=dataType)
-        children_positions = T.matrix(dtype=dataType)
-	words_indexes = T.vector(dtype=dataType)
-
-	cross_entropy_vector, _ = theano.scan(fn=one_step, \
-                                 sequences = [words, children_positions,y,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))],
-                                 non_sequences = learning_rate,
-                                 n_steps = words.shape[0])
-	cost = T.sum(cross_entropy_vector[0])
-
-        updates = OrderedDict([
-			(self.W_h_y, self.W_h_y-learning_rate*T.grad(cost, self.W_h_y)),
-			(self.W_e_h, self.W_e_h-learning_rate*T.grad(cost, self.W_e_h)),
-			(self.W_shh_h, self.W_shh_h-learning_rate*T.grad(cost, self.W_shh_h)),
-			(self.W_sh_shh, self.W_sh_shh-learning_rate*T.grad(cost, self.W_sh_shh)),
-			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
-                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
-			])
-
-	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
-                                      outputs = [],
-                                      updates = updates,
-                                      allow_input_downcast=True,
-                                      mode='FAST_RUN'
-                                      )
-
- 
-        def one_step_classify(word_id, word_children_positions, i, hidden_states):
-
-	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
-
-            tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
-
-            h = T.tanh(T.concatenate([T.dot(self.emb[word_id], self.W_e_h), T.dot(shh,self.W_shh_h)]))
- 
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h,self.W_h_y) + self.b_y)[0]                  
-
-            return  y_prob, hidden_states_new 
-        
-
-	[y_probs_classify, hidden_states ], _ = theano.scan(
-				 fn=one_step_classify, 
-                                 sequences = [words, children_positions,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))])
-	
-	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
-                                     sequences = [words_indexes])
-
-        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
-                                     outputs=predictions,
-                                     allow_input_downcast=True,
-                                     mode='FAST_RUN' 
-                                     )
-
-
-
-
-class model55_pf6(object):  
-    def __init__(self, neh, ne, nshh, nchd, nc, w2v_model_path, max_phrase_length): 
-        '''
-        nh :: dimension of hidden state
-        nc :: number of classes
-        ne :: number of word embeddings in the vocabulary
-        de :: dimension of the word embeddings
-        ds :: dimension of the sentiment state
-        '''
-        self.max_phrase_length = max_phrase_length
-        w2vecs = pickle.load(open(w2v_model_path,"r"))
-        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
-        self.words2ids = w2vecs["words2ids"]
-
-        #ne = len(w2vecs["words2ids"])
-        de = w2vecs["vectors"].shape[1]
-        del w2vecs
-
-        r = 0.05
-        self.W_e_eh  = theano.shared(r * np.random.uniform(-1.0, 1.0, (de, neh)).astype(theano.config.floatX))
-
-        self.W_eh_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (neh, ne)).astype(theano.config.floatX))
-
-        self.W_h_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nc)).astype(theano.config.floatX))
-
-        self.W_sh_shh   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nshh)).astype(theano.config.floatX))
-
-	self.W_shh_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (nshh, nchd)).astype(theano.config.floatX))
-
-
-        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
-
-  
-        def one_step(word_id, word_children_positions, y_true, i, hidden_states, learning_rate):
-
-	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
-
-	    tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
-	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
-
-            h = T.tanh(T.concatenate([T.dot(eh, self.W_eh_h), T.dot(shh,self.W_shh_h)]))
- 
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h,self.W_h_y) + self.b_y)[0]
-	
-	    #l2_norm = T.sum(self.W_h_h2**2) + T.sum(self.W_h2_y**2) + T.sum(self.W_e_h**2) + T.sum(self.W_sh_h**2) + T.sum(self.emb**2) + T.sum(self.b_h**2) + T.sum(self.b_y**2)
-
-            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
-                                 
-            return cross_entropy, hidden_states_new  
-
-
-        y = T.vector('y',dtype=dataType)
-        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
-	words = T.vector(dtype=dataType)
-        children_positions = T.matrix(dtype=dataType)
-	words_indexes = T.vector(dtype=dataType)
-
-	cross_entropy_vector, _ = theano.scan(fn=one_step, \
-                                 sequences = [words, children_positions,y,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))],
-                                 non_sequences = learning_rate,
-                                 n_steps = words.shape[0])
-	cost = T.sum(cross_entropy_vector[0])
-
-        updates = OrderedDict([
-			(self.W_h_y, self.W_h_y-learning_rate*T.grad(cost, self.W_h_y)),
-			(self.W_e_eh, self.W_e_eh-learning_rate*T.grad(cost, self.W_e_eh)),
-			(self.W_eh_h, self.W_eh_h-learning_rate*T.grad(cost, self.W_eh_h)),
-			(self.W_shh_h, self.W_shh_h-learning_rate*T.grad(cost, self.W_shh_h)),
-			(self.W_sh_shh, self.W_sh_shh-learning_rate*T.grad(cost, self.W_sh_shh)),
-			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
-                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
-			])
-
-	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
-                                      outputs = [],
-                                      updates = updates,
-                                      allow_input_downcast=True,
-                                      mode='FAST_RUN'
-                                      )
-
- 
-        def one_step_classify(word_id, word_children_positions, i, hidden_states):
-
-	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
-
-            tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
-	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
-
-            h = T.tanh(T.concatenate([T.dot(eh, self.W_eh_h), T.dot(shh,self.W_shh_h)]))
- 
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h,self.W_h_y) + self.b_y)[0]                  
-
-            return  y_prob, hidden_states_new 
-        
-
-	[y_probs_classify, hidden_states ], _ = theano.scan(
-				 fn=one_step_classify, 
-                                 sequences = [words, children_positions,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))])
-	
-	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
-                                     sequences = [words_indexes])
-
-        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
-                                     outputs=predictions,
-                                     allow_input_downcast=True,
-                                     mode='FAST_RUN' 
-                                     )
-
-
-
-
-
-class model55_pf7(object):  
-    def __init__(self, neh, ne, nshh, nchd, nh2, nc, w2v_model_path, max_phrase_length): 
-        '''
-        nh :: dimension of hidden state
-        nc :: number of classes
-        ne :: number of word embeddings in the vocabulary
-        de :: dimension of the word embeddings
-        ds :: dimension of the sentiment state
-        '''
-        self.max_phrase_length = max_phrase_length
-        w2vecs = pickle.load(open(w2v_model_path,"r"))
-        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
-        self.words2ids = w2vecs["words2ids"]
-
-        #ne = len(w2vecs["words2ids"])
-        de = w2vecs["vectors"].shape[1]
-        del w2vecs
-
-        r = 0.05
-        self.W_e_eh  = theano.shared(r * np.random.uniform(-1.0, 1.0, (de, neh)).astype(theano.config.floatX))
-
-        self.W_eh_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (neh, ne)).astype(theano.config.floatX))
-
-        self.W_h_h2   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nh2)).astype(theano.config.floatX))
-        self.W_h2_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh2, nc)).astype(theano.config.floatX))
-
-        self.W_sh_shh   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nshh)).astype(theano.config.floatX))
-
-	self.W_shh_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (nshh, nchd)).astype(theano.config.floatX))
-
-
-        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
-
-  
-        def one_step(word_id, word_children_positions, y_true, i, hidden_states, learning_rate):
-
-	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
-
-	    tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
-	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
-
-            h = T.tanh(T.concatenate([T.dot(eh, self.W_eh_h), T.dot(shh,self.W_shh_h)]))
- 
-	    h2 = T.tanh(T.dot(h, self.W_h_h2))
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h2,self.W_h2_y) + self.b_y)[0]
-	
-	    #l2_norm = T.sum(self.W_h_h2**2) + T.sum(self.W_h2_y**2) + T.sum(self.W_e_h**2) + T.sum(self.W_sh_h**2) + T.sum(self.emb**2) + T.sum(self.b_h**2) + T.sum(self.b_y**2)
-
-            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
-                                 
-            return cross_entropy, hidden_states_new  
-
-
-        y = T.vector('y',dtype=dataType)
-        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
-	words = T.vector(dtype=dataType)
-        children_positions = T.matrix(dtype=dataType)
-	words_indexes = T.vector(dtype=dataType)
-
-	cross_entropy_vector, _ = theano.scan(fn=one_step, \
-                                 sequences = [words, children_positions,y,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))],
-                                 non_sequences = learning_rate,
-                                 n_steps = words.shape[0])
-
-	cost = T.sum(cross_entropy_vector[0])
-
-        updates = OrderedDict([
-			(self.W_h_h2, self.W_h_h2-learning_rate*T.grad(cost, self.W_h_h2)),
-			(self.W_h2_y, self.W_h2_y-learning_rate*T.grad(cost, self.W_h2_y)),
-			(self.W_e_eh, self.W_e_eh-learning_rate*T.grad(cost, self.W_e_eh)),
-			(self.W_eh_h, self.W_eh_h-learning_rate*T.grad(cost, self.W_eh_h)),
-			(self.W_shh_h, self.W_shh_h-learning_rate*T.grad(cost, self.W_shh_h)),
-			(self.W_sh_shh, self.W_sh_shh-learning_rate*T.grad(cost, self.W_sh_shh)),
-			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
-                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
-			])
-
-	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
-                                      outputs = [],
-                                      updates = updates,
-                                      allow_input_downcast=True,
-                                      mode='FAST_RUN'
-                                      )
-
- 
-        def one_step_classify(word_id, word_children_positions, i, hidden_states):
-
-	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
-
-            tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
-	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
-
-            h = T.tanh(T.concatenate([T.dot(eh, self.W_eh_h), T.dot(shh,self.W_shh_h)]))
-
-	    h2 = T.tanh(T.dot(h, self.W_h_h2)) 
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h2,self.W_h2_y) + self.b_y)[0]                  
-
-            return  y_prob, hidden_states_new 
-        
-
-	[y_probs_classify, hidden_states ], _ = theano.scan(
-				 fn=one_step_classify, 
-                                 sequences = [words, children_positions,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))])
-	
-	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
-                                     sequences = [words_indexes])
-
-        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
-                                     outputs=predictions,
-                                     allow_input_downcast=True,
-                                     mode='FAST_RUN' 
-                                     )
-
-
-
-
-
-class model55_pf8(object):  
-    def __init__(self, neh, ne, nshh, nchd, nh2, nh3, nc, w2v_model_path, max_phrase_length): 
-        '''
-        nh :: dimension of hidden state
-        nc :: number of classes
-        ne :: number of word embeddings in the vocabulary
-        de :: dimension of the word embeddings
-        ds :: dimension of the sentiment state
-        '''
-        self.max_phrase_length = max_phrase_length
-        w2vecs = pickle.load(open(w2v_model_path,"r"))
-        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
-        self.words2ids = w2vecs["words2ids"]
-
-        #ne = len(w2vecs["words2ids"])
-        de = w2vecs["vectors"].shape[1]
-        del w2vecs
-
-        r = 0.05
-        self.W_e_eh  = theano.shared(r * np.random.uniform(-1.0, 1.0, (de, neh)).astype(theano.config.floatX))
-
-        self.W_eh_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (neh, ne)).astype(theano.config.floatX))
-
-        self.W_h_h2   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nh2)).astype(theano.config.floatX))
-        self.W_h2_h3   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh2, nh3)).astype(theano.config.floatX))
-	self.W_h3_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh3, nc)).astype(theano.config.floatX))
-
-        self.W_sh_shh   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nshh)).astype(theano.config.floatX))
-
-	self.W_shh_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (nshh, nchd)).astype(theano.config.floatX))
-
-        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
-
-  
-        def one_step(word_id, word_children_positions, y_true, i, hidden_states, learning_rate):
-
-	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
-
-	    tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
-	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
-
-            h = T.tanh(T.concatenate([T.dot(eh, self.W_eh_h), T.dot(shh,self.W_shh_h)]))
- 
-	    h2 = T.tanh(T.dot(h, self.W_h_h2))
-
-
-	    h3 = T.tanh(T.dot(h2, self.W_h2_h3))
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h3,self.W_h3_y) + self.b_y)[0]
-	
-	    #l2_norm = T.sum(self.W_h_h2**2) + T.sum(self.W_h2_y**2) + T.sum(self.W_e_h**2) + T.sum(self.W_sh_h**2) + T.sum(self.emb**2) + T.sum(self.b_h**2) + T.sum(self.b_y**2)
-
-            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
-                                 
-            return cross_entropy, hidden_states_new  
-
-
-        y = T.vector('y',dtype=dataType)
-        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
-	words = T.vector(dtype=dataType)
-        children_positions = T.matrix(dtype=dataType)
-	words_indexes = T.vector(dtype=dataType)
-
-	cross_entropy_vector, _ = theano.scan(fn=one_step, \
-                                 sequences = [words, children_positions,y,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))],
-                                 non_sequences = learning_rate,
-                                 n_steps = words.shape[0])
-
-	cost = T.sum(cross_entropy_vector[0])
-
-        updates = OrderedDict([
-			(self.W_h_h2, self.W_h_h2-learning_rate*T.grad(cost, self.W_h_h2)),
-			(self.W_h2_h3, self.W_h2_h3-learning_rate*T.grad(cost, self.W_h2_h3)),
-			(self.W_h3_y, self.W_h3_y-learning_rate*T.grad(cost, self.W_h3_y)),
-			(self.W_e_eh, self.W_e_eh-learning_rate*T.grad(cost, self.W_e_eh)),
-			(self.W_eh_h, self.W_eh_h-learning_rate*T.grad(cost, self.W_eh_h)),
-			(self.W_shh_h, self.W_shh_h-learning_rate*T.grad(cost, self.W_shh_h)),
-			(self.W_sh_shh, self.W_sh_shh-learning_rate*T.grad(cost, self.W_sh_shh)),
-			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
-                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
-			])
-
-	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
-                                      outputs = [],
-                                      updates = updates,
-                                      allow_input_downcast=True,
-                                      mode='FAST_RUN'
-                                      )
-
- 
-        def one_step_classify(word_id, word_children_positions, i, hidden_states):
-
-	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
-
-            tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
-	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
-
-            h = T.tanh(T.concatenate([T.dot(eh, self.W_eh_h), T.dot(shh,self.W_shh_h)]))
-
-	    h2 = T.tanh(T.dot(h, self.W_h_h2)) 
-
-	    h3 = T.tanh(T.dot(h2, self.W_h2_h3))
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h3,self.W_h3_y) + self.b_y)[0]                  
-
-            return  y_prob, hidden_states_new 
-        
-
-	[y_probs_classify, hidden_states ], _ = theano.scan(
-				 fn=one_step_classify, 
-                                 sequences = [words, children_positions,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))])
-	
-	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
-                                     sequences = [words_indexes])
-
-        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
-                                     outputs=predictions,
-                                     allow_input_downcast=True,
-                                     mode='FAST_RUN' 
-                                     )
-
-
-class model55_pf9(object):  
-    def __init__(self, ne, nchd, nh2, nh3, nc, w2v_model_path, max_phrase_length): 
-        '''
-        nh :: dimension of hidden state
-        nc :: number of classes
-        ne :: number of word embeddings in the vocabulary
-        de :: dimension of the word embeddings
-        ds :: dimension of the sentiment state
-        '''
-        self.max_phrase_length = max_phrase_length
-        w2vecs = pickle.load(open(w2v_model_path,"r"))
-        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
-        self.words2ids = w2vecs["words2ids"]
-
-        #ne = len(w2vecs["words2ids"])
-        de = w2vecs["vectors"].shape[1]
-        del w2vecs
-
-        r = 0.05
-        self.W_e_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (de, ne)).astype(theano.config.floatX))
-
-
-        self.W_h_h2   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nh2)).astype(theano.config.floatX))
-        self.W_h2_h3   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh2, nh3)).astype(theano.config.floatX))
-	self.W_h3_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh3, nc)).astype(theano.config.floatX))
-
-        self.W_sh_h   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nchd)).astype(theano.config.floatX))
-
-
-        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
-
-  
-        def one_step(word_id, word_children_positions, y_true, i, hidden_states, learning_rate):
-
-	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
-
-	    tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-
-            h = T.tanh(T.concatenate([T.dot(self.emb[word_id],self.W_e_h), T.dot(schh,self.W_sh_h)]))
- 
-	    h2 = T.tanh(T.dot(h, self.W_h_h2))
-
-
-	    h3 = T.tanh(T.dot(h2, self.W_h2_h3))
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h3,self.W_h3_y) + self.b_y)[0]
-	
-	    #l2_norm = T.sum(self.W_h_h2**2) + T.sum(self.W_h2_y**2) + T.sum(self.W_e_h**2) + T.sum(self.W_sh_h**2) + T.sum(self.emb**2) + T.sum(self.b_h**2) + T.sum(self.b_y**2)
-
-            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
-                                 
-            return cross_entropy, hidden_states_new  
-
-
-        y = T.vector('y',dtype=dataType)
-        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
-	words = T.vector(dtype=dataType)
-        children_positions = T.matrix(dtype=dataType)
-	words_indexes = T.vector(dtype=dataType)
-
-	cross_entropy_vector, _ = theano.scan(fn=one_step, \
-                                 sequences = [words, children_positions,y,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))],
-                                 non_sequences = learning_rate,
-                                 n_steps = words.shape[0])
-
-	cost = T.sum(cross_entropy_vector[0])
-
-        updates = OrderedDict([
-			(self.W_h_h2, self.W_h_h2-learning_rate*T.grad(cost, self.W_h_h2)),
-			(self.W_h2_h3, self.W_h2_h3-learning_rate*T.grad(cost, self.W_h2_h3)),
-			(self.W_h3_y, self.W_h3_y-learning_rate*T.grad(cost, self.W_h3_y)),
-			(self.W_e_h, self.W_e_h-learning_rate*T.grad(cost, self.W_e_h)),
-			(self.W_sh_h, self.W_sh_h-learning_rate*T.grad(cost, self.W_sh_h)),
-			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
-                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
-			])
-
-	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
-                                      outputs = [],
-                                      updates = updates,
-                                      allow_input_downcast=True,
-                                      mode='FAST_RUN'
-                                      )
-
- 
-        def one_step_classify(word_id, word_children_positions, i, hidden_states):
-
-	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
-
-            tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-
-            h = T.tanh(T.concatenate([T.dot(self.emb[word_id],self.W_e_h), T.dot(schh,self.W_sh_h)]))
- 
-	    h2 = T.tanh(T.dot(h, self.W_h_h2)) 
-
-	    h3 = T.tanh(T.dot(h2, self.W_h2_h3))
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h3,self.W_h3_y) + self.b_y)[0]                  
-
-            return  y_prob, hidden_states_new 
-        
-
-	[y_probs_classify, hidden_states ], _ = theano.scan(
-				 fn=one_step_classify, 
-                                 sequences = [words, children_positions,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))])
-	
-	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
-                                     sequences = [words_indexes])
-
-        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
-                                     outputs=predictions,
-                                     allow_input_downcast=True,
-                                     mode='FAST_RUN' 
-                                     )
-
-
-
-class model55_pf10(object):  
-    def __init__(self, nchd, nh2, nc, w2v_model_path, max_phrase_length): 
-        '''
-        nh :: dimension of hidden state
-        nc :: number of classes
-        ne :: number of word embeddings in the vocabulary
-        de :: dimension of the word embeddings
-        ds :: dimension of the sentiment state
-        '''
-        self.max_phrase_length = max_phrase_length
-        w2vecs = pickle.load(open(w2v_model_path,"r"))
-        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
-        self.words2ids = w2vecs["words2ids"]
-
-        #ne = len(w2vecs["words2ids"])
-        de = w2vecs["vectors"].shape[1]
-        del w2vecs
-
-        r = 0.05
-
-        self.W_h_h2   = theano.shared(r * np.random.uniform(-1.0, 1.0, (de+nchd, nh2)).astype(theano.config.floatX))
-        self.W_h2_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh2, nc)).astype(theano.config.floatX))
-
-        self.W_sh_h   = theano.shared(r * np.random.uniform(-1.0, 1.0, (de+nchd, nchd)).astype(theano.config.floatX))
-
-        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
-
-  
-        def one_step(word_id, word_children_positions, y_true, i, hidden_states, learning_rate):
-
-	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
-
-	    tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-
-            h = T.tanh(T.concatenate([self.emb[word_id], T.dot(schh,self.W_sh_h)]))
- 
-	    h2 = T.tanh(T.dot(h, self.W_h_h2))
-
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h2,self.W_h2_y) + self.b_y)[0]
-	
-	    #l2_norm = T.sum(self.W_h_h2**2) + T.sum(self.W_h2_y**2) + T.sum(self.W_e_h**2) + T.sum(self.W_sh_h**2) + T.sum(self.emb**2) + T.sum(self.b_h**2) + T.sum(self.b_y**2)
-
-            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
-                                 
-            return cross_entropy, hidden_states_new  
-
-
-        y = T.vector('y',dtype=dataType)
-        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
-	words = T.vector(dtype=dataType)
-        children_positions = T.matrix(dtype=dataType)
-	words_indexes = T.vector(dtype=dataType)
-
-	cross_entropy_vector, _ = theano.scan(fn=one_step, \
-                                 sequences = [words, children_positions,y,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,de+nchd), dtype = theano.config.floatX))],
-                                 non_sequences = learning_rate,
-                                 n_steps = words.shape[0])
-
-	cost = T.sum(cross_entropy_vector[0])
-
-        updates = OrderedDict([
-			(self.W_h_h2, self.W_h_h2-learning_rate*T.grad(cost, self.W_h_h2)),
-			(self.W_h2_y, self.W_h2_y-learning_rate*T.grad(cost, self.W_h2_y)),
-			(self.W_sh_h, self.W_sh_h-learning_rate*T.grad(cost, self.W_sh_h)),
-			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
-                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
-			])
-
-	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
-                                      outputs = [],
-                                      updates = updates,
-                                      allow_input_downcast=True,
-                                      mode='FAST_RUN'
-                                      )
-
- 
-        def one_step_classify(word_id, word_children_positions, i, hidden_states):
-
-	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
-
-            tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-            h = T.tanh(T.concatenate([self.emb[word_id], T.dot(schh,self.W_sh_h)]))
- 
-	    h2 = T.tanh(T.dot(h, self.W_h_h2))
-
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h2,self.W_h2_y) + self.b_y)[0]                 
-
-            return  y_prob, hidden_states_new 
-        
-
-	[y_probs_classify, hidden_states ], _ = theano.scan(
-				 fn=one_step_classify, 
-                                 sequences = [words, children_positions,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,de+nchd), dtype = theano.config.floatX))])
-	
-	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
-                                     sequences = [words_indexes])
-
-        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
-                                     outputs=predictions,
-                                     allow_input_downcast=True,
-                                     mode='FAST_RUN' 
-                                     )
-
-
-
-
-class model55_pf11(object):  
-    def __init__(self, nchd, nh2, nh3, nc, w2v_model_path, max_phrase_length): 
-        '''
-        nh :: dimension of hidden state
-        nc :: number of classes
-        ne :: number of word embeddings in the vocabulary
-        de :: dimension of the word embeddings
-        ds :: dimension of the sentiment state
-        '''
-        self.max_phrase_length = max_phrase_length
-        w2vecs = pickle.load(open(w2v_model_path,"r"))
-        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
-        self.words2ids = w2vecs["words2ids"]
-
-        #ne = len(w2vecs["words2ids"])
-        de = w2vecs["vectors"].shape[1]
-        del w2vecs
-
-        r = 0.05
-        
-
-        self.W_h_h2   = theano.shared(r * np.random.uniform(-1.0, 1.0, (de+nchd, nh2)).astype(theano.config.floatX))
-        self.W_h2_h3   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh2, nh3)).astype(theano.config.floatX))
-	self.W_h3_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh3, nc)).astype(theano.config.floatX))
-
-        self.W_sh_h   = theano.shared(r * np.random.uniform(-1.0, 1.0, (de+nchd, nchd)).astype(theano.config.floatX))
-
-
-        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
-
-  
-        def one_step(word_id, word_children_positions, y_true, i, hidden_states, learning_rate):
-
-	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
-
-	    tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-
-            h = T.tanh(T.concatenate([self.emb[word_id], T.dot(schh,self.W_sh_h)]))
- 
-	    h2 = T.tanh(T.dot(h, self.W_h_h2))
-
-
-	    h3 = T.tanh(T.dot(h2, self.W_h2_h3))
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h3,self.W_h3_y) + self.b_y)[0]
-	
-	    #l2_norm = T.sum(self.W_h_h2**2) + T.sum(self.W_h2_y**2) + T.sum(self.W_e_h**2) + T.sum(self.W_sh_h**2) + T.sum(self.emb**2) + T.sum(self.b_h**2) + T.sum(self.b_y**2)
-
-            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
-                                 
-            return cross_entropy, hidden_states_new  
-
-
-        y = T.vector('y',dtype=dataType)
-        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
-	words = T.vector(dtype=dataType)
-        children_positions = T.matrix(dtype=dataType)
-	words_indexes = T.vector(dtype=dataType)
-
-	cross_entropy_vector, _ = theano.scan(fn=one_step, \
-                                 sequences = [words, children_positions,y,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,de+nchd), dtype = theano.config.floatX))],
-                                 non_sequences = learning_rate,
-                                 n_steps = words.shape[0])
-
-	cost = T.sum(cross_entropy_vector[0])
-
-        updates = OrderedDict([
-			(self.W_h_h2, self.W_h_h2-learning_rate*T.grad(cost, self.W_h_h2)),
-			(self.W_h2_h3, self.W_h2_h3-learning_rate*T.grad(cost, self.W_h2_h3)),
-			(self.W_h3_y, self.W_h3_y-learning_rate*T.grad(cost, self.W_h3_y)),
-			(self.W_sh_h, self.W_sh_h-learning_rate*T.grad(cost, self.W_sh_h)),
-			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
-                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
-			])
-
-	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
-                                      outputs = [],
-                                      updates = updates,
-                                      allow_input_downcast=True,
-                                      mode='FAST_RUN'
-                                      )
-
- 
-        def one_step_classify(word_id, word_children_positions, i, hidden_states):
-
-	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
-
-            tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-
-            h = T.tanh(T.concatenate([self.emb[word_id], T.dot(schh,self.W_sh_h)]))
- 
-	    h2 = T.tanh(T.dot(h, self.W_h_h2)) 
-
-	    h3 = T.tanh(T.dot(h2, self.W_h2_h3))
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h3,self.W_h3_y) + self.b_y)[0]                  
-
-            return  y_prob, hidden_states_new 
-        
-
-	[y_probs_classify, hidden_states ], _ = theano.scan(
-				 fn=one_step_classify, 
-                                 sequences = [words, children_positions,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,de+nchd), dtype = theano.config.floatX))])
-	
-	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
-                                     sequences = [words_indexes])
-
-        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
-                                     outputs=predictions,
-                                     allow_input_downcast=True,
-                                     mode='FAST_RUN' 
-                                     )
-
-
-
-
-
-class model55_pf12(object):  
-    def __init__(self, neh, ne, nshh, nchd, nh2, nh3, nh4, nc, w2v_model_path, max_phrase_length): 
-        '''
-        nh :: dimension of hidden state
-        nc :: number of classes
-        ne :: number of word embeddings in the vocabulary
-        de :: dimension of the word embeddings
-        ds :: dimension of the sentiment state
-        '''
-        self.max_phrase_length = max_phrase_length
-        w2vecs = pickle.load(open(w2v_model_path,"r"))
-        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
-        self.words2ids = w2vecs["words2ids"]
-
-        #ne = len(w2vecs["words2ids"])
-        de = w2vecs["vectors"].shape[1]
-        del w2vecs
-
-        r = 0.05
-        self.W_e_eh  = theano.shared(r * np.random.uniform(-1.0, 1.0, (de, neh)).astype(theano.config.floatX))
-
-        self.W_eh_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (neh, ne)).astype(theano.config.floatX))
-
-        self.W_h_h2   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nh2)).astype(theano.config.floatX))
-        self.W_h2_h3   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh2, nh3)).astype(theano.config.floatX))
-	self.W_h3_h4   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh3, nh4)).astype(theano.config.floatX))
-	self.W_h4_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh4, nc)).astype(theano.config.floatX))
-
-        self.W_sh_shh   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nshh)).astype(theano.config.floatX))
-
-	self.W_shh_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (nshh, nchd)).astype(theano.config.floatX))
-
-        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
-
-  
-        def one_step(word_id, word_children_positions, y_true, i, hidden_states, learning_rate):
-
-	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
-
-	    tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
-	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
-
-            h = T.tanh(T.concatenate([T.dot(eh, self.W_eh_h), T.dot(shh,self.W_shh_h)]))
- 
-	    h2 = T.tanh(T.dot(h, self.W_h_h2))
-
-
-	    h3 = T.tanh(T.dot(h2, self.W_h2_h3))
-	    h4 = T.tanh(T.dot(h3, self.W_h3_h4))
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h4,self.W_h4_y) + self.b_y)[0]
-	
-	    #l2_norm = T.sum(self.W_h_h2**2) + T.sum(self.W_h2_y**2) + T.sum(self.W_e_h**2) + T.sum(self.W_sh_h**2) + T.sum(self.emb**2) + T.sum(self.b_h**2) + T.sum(self.b_y**2)
-
-            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
-                                 
-            return cross_entropy, hidden_states_new  
-
-
-        y = T.vector('y',dtype=dataType)
-        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
-	words = T.vector(dtype=dataType)
-        children_positions = T.matrix(dtype=dataType)
-	words_indexes = T.vector(dtype=dataType)
-
-	cross_entropy_vector, _ = theano.scan(fn=one_step, \
-                                 sequences = [words, children_positions,y,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))],
-                                 non_sequences = learning_rate,
-                                 n_steps = words.shape[0])
-
-	cost = T.sum(cross_entropy_vector[0])
-
-        updates = OrderedDict([
-			(self.W_h_h2, self.W_h_h2-learning_rate*T.grad(cost, self.W_h_h2)),
-			(self.W_h2_h3, self.W_h2_h3-learning_rate*T.grad(cost, self.W_h2_h3)),
-			(self.W_h3_h4, self.W_h3_h4-learning_rate*T.grad(cost, self.W_h3_h4)),
-			(self.W_h4_y, self.W_h4_y-learning_rate*T.grad(cost, self.W_h4_y)),
-			(self.W_e_eh, self.W_e_eh-learning_rate*T.grad(cost, self.W_e_eh)),
-			(self.W_eh_h, self.W_eh_h-learning_rate*T.grad(cost, self.W_eh_h)),
-			(self.W_shh_h, self.W_shh_h-learning_rate*T.grad(cost, self.W_shh_h)),
-			(self.W_sh_shh, self.W_sh_shh-learning_rate*T.grad(cost, self.W_sh_shh)),
-			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
-                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
-			])
-
-	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
-                                      outputs = [],
-                                      updates = updates,
-                                      allow_input_downcast=True,
-                                      mode='FAST_RUN'
-                                      )
-
- 
-        def one_step_classify(word_id, word_children_positions, i, hidden_states):
-
-	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
-
-            tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
-	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
-
-            h = T.tanh(T.concatenate([T.dot(eh, self.W_eh_h), T.dot(shh,self.W_shh_h)]))
-
-	    h2 = T.tanh(T.dot(h, self.W_h_h2)) 
-
-	    h3 = T.tanh(T.dot(h2, self.W_h2_h3))
-	    h4 = T.tanh(T.dot(h3, self.W_h3_h4))
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h4,self.W_h4_y) + self.b_y)[0]                 
-
-            return  y_prob, hidden_states_new 
-        
-
-	[y_probs_classify, hidden_states ], _ = theano.scan(
-				 fn=one_step_classify, 
-                                 sequences = [words, children_positions,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))])
-	
-	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
-                                     sequences = [words_indexes])
-
-        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
-                                     outputs=predictions,
-                                     allow_input_downcast=True,
-                                     mode='FAST_RUN' 
-                                     )
-
-
-
-class model55_pf13(object):  
-    def __init__(self, neh, neh2, ne, nshh, nshh2, nchd, nc, w2v_model_path, max_phrase_length): 
-        '''
-        nh :: dimension of hidden state
-        nc :: number of classes
-        ne :: number of word embeddings in the vocabulary
-        de :: dimension of the word embeddings
-        ds :: dimension of the sentiment state
-        '''
-        self.max_phrase_length = max_phrase_length
-        w2vecs = pickle.load(open(w2v_model_path,"r"))
-        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
-        self.words2ids = w2vecs["words2ids"]
-
-        #ne = len(w2vecs["words2ids"])
-        de = w2vecs["vectors"].shape[1]
-        del w2vecs
-
-        r = 0.05
-        self.W_e_eh  = theano.shared(r * np.random.uniform(-1.0, 1.0, (de, neh)).astype(theano.config.floatX))
-        self.W_eh_eh2  = theano.shared(r * np.random.uniform(-1.0, 1.0, (neh, neh2)).astype(theano.config.floatX))
-        self.W_eh2_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (neh2, ne)).astype(theano.config.floatX))
-
-        self.W_sh_shh   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nshh)).astype(theano.config.floatX))
-	self.W_shh_shh2  = theano.shared(r * np.random.uniform(-1.0, 1.0, (nshh, nshh2)).astype(theano.config.floatX))
-	self.W_shh2_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (nshh2, nchd)).astype(theano.config.floatX))
-
-        self.W_h_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nc)).astype(theano.config.floatX))
-
-        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
-
-  
-        def one_step(word_id, word_children_positions, y_true, i, hidden_states, learning_rate):
-
-	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
-
-	    tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
-	    eh2 = T.tanh(T.dot(eh,self.W_eh_eh2))
-
-	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
-	    shh2 = T.tanh(T.dot(shh,self.W_shh_shh2))
-
-
-            h = T.tanh(T.concatenate([T.dot(eh2, self.W_eh2_h), T.dot(shh2,self.W_shh2_h)]))
- 
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h,self.W_h_y) + self.b_y)[0]
-	
-	    #l2_norm = T.sum(self.W_h_h2**2) + T.sum(self.W_h2_y**2) + T.sum(self.W_e_h**2) + T.sum(self.W_sh_h**2) + T.sum(self.emb**2) + T.sum(self.b_h**2) + T.sum(self.b_y**2)
-
-            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
-                                 
-            return cross_entropy, hidden_states_new  
-
-
-        y = T.vector('y',dtype=dataType)
-        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
-	words = T.vector(dtype=dataType)
-        children_positions = T.matrix(dtype=dataType)
-	words_indexes = T.vector(dtype=dataType)
-
-	cross_entropy_vector, _ = theano.scan(fn=one_step, \
-                                 sequences = [words, children_positions,y,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))],
-                                 non_sequences = learning_rate,
-                                 n_steps = words.shape[0])
-
-	cost = T.sum(cross_entropy_vector[0])
-
-        updates = OrderedDict([
-			(self.W_h_y, self.W_h_y-learning_rate*T.grad(cost, self.W_h_y)),
-			(self.W_e_eh, self.W_e_eh-learning_rate*T.grad(cost, self.W_e_eh)),
-			(self.W_eh_eh2, self.W_eh_eh2-learning_rate*T.grad(cost, self.W_eh_eh2)),
-			(self.W_eh2_h, self.W_eh2_h-learning_rate*T.grad(cost, self.W_eh2_h)),
-			(self.W_shh2_h, self.W_shh2_h-learning_rate*T.grad(cost, self.W_shh2_h)),
-			(self.W_sh_shh, self.W_sh_shh-learning_rate*T.grad(cost, self.W_sh_shh)),
-			(self.W_shh_shh2, self.W_shh_shh2-learning_rate*T.grad(cost, self.W_shh_shh2)),
-			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
-                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
-			])
-
-	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
-                                      outputs = [],
-                                      updates = updates,
-                                      allow_input_downcast=True,
-                                      mode='FAST_RUN'
-                                      )
-
- 
-        def one_step_classify(word_id, word_children_positions, i, hidden_states):
-
-	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
-
-            tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
-	    eh2 = T.tanh(T.dot(eh,self.W_eh_eh2))
-
-	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
-	    shh2 = T.tanh(T.dot(shh,self.W_shh_shh2))
-
-
-            h = T.tanh(T.concatenate([T.dot(eh2, self.W_eh2_h), T.dot(shh2,self.W_shh2_h)]))
- 
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h,self.W_h_y) + self.b_y)[0]
-	                 
-
-            return  y_prob, hidden_states_new 
-        
-
-	[y_probs_classify, hidden_states ], _ = theano.scan(
-				 fn=one_step_classify, 
-                                 sequences = [words, children_positions,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))])
-	
-	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
-                                     sequences = [words_indexes])
-
-        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
-                                     outputs=predictions,
-                                     allow_input_downcast=True,
-                                     mode='FAST_RUN' 
-                                     )
-
-
-
-class model55_pf14(object):  
-    def __init__(self, neh, neh2, ne, nshh, nshh2, nchd, nh2, nc, w2v_model_path, max_phrase_length): 
-        '''
-        nh :: dimension of hidden state
-        nc :: number of classes
-        ne :: number of word embeddings in the vocabulary
-        de :: dimension of the word embeddings
-        ds :: dimension of the sentiment state
-        '''
-        self.max_phrase_length = max_phrase_length
-        w2vecs = pickle.load(open(w2v_model_path,"r"))
-        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
-        self.words2ids = w2vecs["words2ids"]
-
-        #ne = len(w2vecs["words2ids"])
-        de = w2vecs["vectors"].shape[1]
-        del w2vecs
-
-        r = 0.05
-        self.W_e_eh  = theano.shared(r * np.random.uniform(-1.0, 1.0, (de, neh)).astype(theano.config.floatX))
-        self.W_eh_eh2  = theano.shared(r * np.random.uniform(-1.0, 1.0, (neh, neh2)).astype(theano.config.floatX))
-        self.W_eh2_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (neh2, ne)).astype(theano.config.floatX))
-
-        self.W_sh_shh   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nshh)).astype(theano.config.floatX))
-	self.W_shh_shh2  = theano.shared(r * np.random.uniform(-1.0, 1.0, (nshh, nshh2)).astype(theano.config.floatX))
-	self.W_shh2_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (nshh2, nchd)).astype(theano.config.floatX))
-
-        self.W_h_h2   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nh2)).astype(theano.config.floatX))
-        self.W_h2_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh2, nc)).astype(theano.config.floatX))
-
-        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
-
-  
-        def one_step(word_id, word_children_positions, y_true, i, hidden_states, learning_rate):
-
-	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
-
-	    tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
-	    eh2 = T.tanh(T.dot(eh,self.W_eh_eh2))
-
-	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
-	    shh2 = T.tanh(T.dot(shh,self.W_shh_shh2))
-
-
-            h = T.tanh(T.concatenate([T.dot(eh2, self.W_eh2_h), T.dot(shh2,self.W_shh2_h)]))
- 
-	    h2 = T.tanh(T.dot(h, self.W_h_h2)) 
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h2,self.W_h2_y) + self.b_y)[0]
-	
-	    #l2_norm = T.sum(self.W_h_h2**2) + T.sum(self.W_h2_y**2) + T.sum(self.W_e_h**2) + T.sum(self.W_sh_h**2) + T.sum(self.emb**2) + T.sum(self.b_h**2) + T.sum(self.b_y**2)
-
-            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
-                                 
-            return cross_entropy, hidden_states_new  
-
-
-        y = T.vector('y',dtype=dataType)
-        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
-	words = T.vector(dtype=dataType)
-        children_positions = T.matrix(dtype=dataType)
-	words_indexes = T.vector(dtype=dataType)
-
-	cross_entropy_vector, _ = theano.scan(fn=one_step, \
-                                 sequences = [words, children_positions,y,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))],
-                                 non_sequences = learning_rate,
-                                 n_steps = words.shape[0])
-
-	cost = T.sum(cross_entropy_vector[0])
-
-        updates = OrderedDict([
-			(self.W_h_h2, self.W_h_h2-learning_rate*T.grad(cost, self.W_h_h2)),
-			(self.W_h2_y, self.W_h2_y-learning_rate*T.grad(cost, self.W_h2_y)),
-			(self.W_e_eh, self.W_e_eh-learning_rate*T.grad(cost, self.W_e_eh)),
-			(self.W_eh_eh2, self.W_eh_eh2-learning_rate*T.grad(cost, self.W_eh_eh2)),
-			(self.W_eh2_h, self.W_eh2_h-learning_rate*T.grad(cost, self.W_eh2_h)),
-			(self.W_shh2_h, self.W_shh2_h-learning_rate*T.grad(cost, self.W_shh2_h)),
-			(self.W_sh_shh, self.W_sh_shh-learning_rate*T.grad(cost, self.W_sh_shh)),
-			(self.W_shh_shh2, self.W_shh_shh2-learning_rate*T.grad(cost, self.W_shh_shh2)),
-			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
-                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
-			])
-
-	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
-                                      outputs = [],
-                                      updates = updates,
-                                      allow_input_downcast=True,
-                                      mode='FAST_RUN'
-                                      )
-
- 
-        def one_step_classify(word_id, word_children_positions, i, hidden_states):
-
-	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
-
-            tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
-	    eh2 = T.tanh(T.dot(eh,self.W_eh_eh2))
-
-	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
-	    shh2 = T.tanh(T.dot(shh,self.W_shh_shh2))
-
-
-            h = T.tanh(T.concatenate([T.dot(eh2, self.W_eh2_h), T.dot(shh2,self.W_shh2_h)]))
- 
-	    h2 = T.tanh(T.dot(h, self.W_h_h2)) 
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h2,self.W_h2_y) + self.b_y)[0]
-	           
-
-            return  y_prob, hidden_states_new 
-        
-
-	[y_probs_classify, hidden_states ], _ = theano.scan(
-				 fn=one_step_classify, 
-                                 sequences = [words, children_positions,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))])
-	
-	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
-                                     sequences = [words_indexes])
-
-        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
-                                     outputs=predictions,
-                                     allow_input_downcast=True,
-                                     mode='FAST_RUN' 
-                                     )
-
-
-
-
-class model55_pf15(object):  
-    def __init__(self, neh, neh2, ne, nshh, nshh2, nchd, nh2, nh3, nc, w2v_model_path, max_phrase_length): 
-        '''
-        nh :: dimension of hidden state
-        nc :: number of classes
-        ne :: number of word embeddings in the vocabulary
-        de :: dimension of the word embeddings
-        ds :: dimension of the sentiment state
-        '''
-        self.max_phrase_length = max_phrase_length
-        w2vecs = pickle.load(open(w2v_model_path,"r"))
-        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
-        self.words2ids = w2vecs["words2ids"]
-
-        #ne = len(w2vecs["words2ids"])
-        de = w2vecs["vectors"].shape[1]
-        del w2vecs
-
-        r = 0.05
-        self.W_e_eh  = theano.shared(r * np.random.uniform(-1.0, 1.0, (de, neh)).astype(theano.config.floatX))
-        self.W_eh_eh2  = theano.shared(r * np.random.uniform(-1.0, 1.0, (neh, neh2)).astype(theano.config.floatX))
-        self.W_eh2_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (neh2, ne)).astype(theano.config.floatX))
-
-        self.W_sh_shh   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nshh)).astype(theano.config.floatX))
-	self.W_shh_shh2  = theano.shared(r * np.random.uniform(-1.0, 1.0, (nshh, nshh2)).astype(theano.config.floatX))
-	self.W_shh2_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (nshh2, nchd)).astype(theano.config.floatX))
-
-        self.W_h_h2   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nh2)).astype(theano.config.floatX))
-        self.W_h2_h3   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh2, nh3)).astype(theano.config.floatX))
-        self.W_h3_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh3, nc)).astype(theano.config.floatX))
-
-        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
-
-  
-        def one_step(word_id, word_children_positions, y_true, i, hidden_states, learning_rate):
-
-	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
-
-	    tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
-	    eh2 = T.tanh(T.dot(eh,self.W_eh_eh2))
-
-	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
-	    shh2 = T.tanh(T.dot(shh,self.W_shh_shh2))
-
-
-            h = T.tanh(T.concatenate([T.dot(eh2, self.W_eh2_h), T.dot(shh2,self.W_shh2_h)]))
- 
-	    h2 = T.tanh(T.dot(h, self.W_h_h2)) 
-	    h3 = T.tanh(T.dot(h2, self.W_h2_h3)) 
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h3,self.W_h3_y) + self.b_y)[0]
-	
-	    #l2_norm = T.sum(self.W_h_h2**2) + T.sum(self.W_h2_y**2) + T.sum(self.W_e_h**2) + T.sum(self.W_sh_h**2) + T.sum(self.emb**2) + T.sum(self.b_h**2) + T.sum(self.b_y**2)
-
-            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
-                                 
-            return cross_entropy, hidden_states_new  
-
-
-        y = T.vector('y',dtype=dataType)
-        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
-	words = T.vector(dtype=dataType)
-        children_positions = T.matrix(dtype=dataType)
-	words_indexes = T.vector(dtype=dataType)
-
-	cross_entropy_vector, _ = theano.scan(fn=one_step, \
-                                 sequences = [words, children_positions,y,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))],
-                                 non_sequences = learning_rate,
-                                 n_steps = words.shape[0])
-
-	cost = T.sum(cross_entropy_vector[0])
-
-        updates = OrderedDict([
-			(self.W_h_h2, self.W_h_h2-learning_rate*T.grad(cost, self.W_h_h2)),
-			(self.W_h2_h3, self.W_h2_h3-learning_rate*T.grad(cost, self.W_h2_h3)),
-			(self.W_h3_y, self.W_h3_y-learning_rate*T.grad(cost, self.W_h3_y)),
-			(self.W_e_eh, self.W_e_eh-learning_rate*T.grad(cost, self.W_e_eh)),
-			(self.W_eh_eh2, self.W_eh_eh2-learning_rate*T.grad(cost, self.W_eh_eh2)),
-			(self.W_eh2_h, self.W_eh2_h-learning_rate*T.grad(cost, self.W_eh2_h)),
-			(self.W_shh2_h, self.W_shh2_h-learning_rate*T.grad(cost, self.W_shh2_h)),
-			(self.W_sh_shh, self.W_sh_shh-learning_rate*T.grad(cost, self.W_sh_shh)),
-			(self.W_shh_shh2, self.W_shh_shh2-learning_rate*T.grad(cost, self.W_shh_shh2)),
-			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
-                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
-			])
-
-	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
-                                      outputs = [],
-                                      updates = updates,
-                                      allow_input_downcast=True,
-                                      mode='FAST_RUN'
-                                      )
-
- 
-        def one_step_classify(word_id, word_children_positions, i, hidden_states):
-
-	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
-
-            tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
-	    eh2 = T.tanh(T.dot(eh,self.W_eh_eh2))
-
-	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
-	    shh2 = T.tanh(T.dot(shh,self.W_shh_shh2))
-
-
-            h = T.tanh(T.concatenate([T.dot(eh2, self.W_eh2_h), T.dot(shh2,self.W_shh2_h)]))
- 
-	    h2 = T.tanh(T.dot(h, self.W_h_h2)) 
-	    h3 = T.tanh(T.dot(h2, self.W_h2_h3)) 
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h3,self.W_h3_y) + self.b_y)[0]
-	    
-
-            return  y_prob, hidden_states_new 
-        
-
-	[y_probs_classify, hidden_states ], _ = theano.scan(
-				 fn=one_step_classify, 
-                                 sequences = [words, children_positions,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))])
-	
-	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
-                                     sequences = [words_indexes])
-
-        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
-                                     outputs=predictions,
-                                     allow_input_downcast=True,
-                                     mode='FAST_RUN' 
-                                     )
-
-
-
-
-class model55_pf16(object):  
-    def __init__(self, nchd, nc, w2v_model_path, max_phrase_length): 
-        '''
-        nh :: dimension of hidden state
-        nc :: number of classes
-        ne :: number of word embeddings in the vocabulary
-        de :: dimension of the word embeddings
-        ds :: dimension of the sentiment state
-        '''
-        self.max_phrase_length = max_phrase_length
-        w2vecs = pickle.load(open(w2v_model_path,"r"))
-        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
-        self.words2ids = w2vecs["words2ids"]
-
-        #ne = len(w2vecs["words2ids"])
-        de = w2vecs["vectors"].shape[1]
-        del w2vecs
-
-        r = 0.05
-
-        self.W_h_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (de+nchd, nc)).astype(theano.config.floatX))
-
-        self.W_sh_h   = theano.shared(r * np.random.uniform(-1.0, 1.0, (de+nchd, nchd)).astype(theano.config.floatX))
-
-        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
-
-  
-        def one_step(word_id, word_children_positions, y_true, i, hidden_states, learning_rate):
-
-	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
-
-	    tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-
-            h = T.tanh(T.concatenate([self.emb[word_id], T.dot(schh,self.W_sh_h)]))
- 
-
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h,self.W_h_y) + self.b_y)[0]
-	
-	    #l2_norm = T.sum(self.W_h_h2**2) + T.sum(self.W_h2_y**2) + T.sum(self.W_e_h**2) + T.sum(self.W_sh_h**2) + T.sum(self.emb**2) + T.sum(self.b_h**2) + T.sum(self.b_y**2)
-
-            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
-                                 
-            return cross_entropy, hidden_states_new  
-
-
-        y = T.vector('y',dtype=dataType)
-        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
-	words = T.vector(dtype=dataType)
-        children_positions = T.matrix(dtype=dataType)
-	words_indexes = T.vector(dtype=dataType)
-
-	cross_entropy_vector, _ = theano.scan(fn=one_step, \
-                                 sequences = [words, children_positions,y,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,de+nchd), dtype = theano.config.floatX))],
-                                 non_sequences = learning_rate,
-                                 n_steps = words.shape[0])
-
-	cost = T.sum(cross_entropy_vector[0])
-
-        updates = OrderedDict([
-			(self.W_h_y, self.W_h_y-learning_rate*T.grad(cost, self.W_h_y)),
-			(self.W_sh_h, self.W_sh_h-learning_rate*T.grad(cost, self.W_sh_h)),
-			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
-                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
-			])
-
-	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
-                                      outputs = [],
-                                      updates = updates,
-                                      allow_input_downcast=True,
-                                      mode='FAST_RUN'
-                                      )
-
- 
-        def one_step_classify(word_id, word_children_positions, i, hidden_states):
-
-	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
-
-            tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-            h = T.tanh(T.concatenate([self.emb[word_id], T.dot(schh,self.W_sh_h)]))
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h,self.W_h_y) + self.b_y)[0]                 
-
-            return  y_prob, hidden_states_new 
-        
-
-	[y_probs_classify, hidden_states ], _ = theano.scan(
-				 fn=one_step_classify, 
-                                 sequences = [words, children_positions,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,de+nchd), dtype = theano.config.floatX))])
-	
-	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
-                                     sequences = [words_indexes])
-
-        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
-                                     outputs=predictions,
-                                     allow_input_downcast=True,
-                                     mode='FAST_RUN' 
-                                     )
-
-
-
-class model55_pf17(object):  
-    def __init__(self, neh, neh2, ne, nshh, nshh2, nchd, nh2, nh3, nh4, nc, w2v_model_path, max_phrase_length): 
-        '''
-        nh :: dimension of hidden state
-        nc :: number of classes
-        ne :: number of word embeddings in the vocabulary
-        de :: dimension of the word embeddings
-        ds :: dimension of the sentiment state
-        '''
-        self.max_phrase_length = max_phrase_length
-        w2vecs = pickle.load(open(w2v_model_path,"r"))
-        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
-        self.words2ids = w2vecs["words2ids"]
-
-        #ne = len(w2vecs["words2ids"])
-        de = w2vecs["vectors"].shape[1]
-        del w2vecs
-
-        r = 0.05
-        self.W_e_eh  = theano.shared(r * np.random.uniform(-1.0, 1.0, (de, neh)).astype(theano.config.floatX))
-        self.W_eh_eh2  = theano.shared(r * np.random.uniform(-1.0, 1.0, (neh, neh2)).astype(theano.config.floatX))
-        self.W_eh2_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (neh2, ne)).astype(theano.config.floatX))
-
-        self.W_sh_shh   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nshh)).astype(theano.config.floatX))
-	self.W_shh_shh2  = theano.shared(r * np.random.uniform(-1.0, 1.0, (nshh, nshh2)).astype(theano.config.floatX))
-	self.W_shh2_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (nshh2, nchd)).astype(theano.config.floatX))
-
-        self.W_h_h2   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nh2)).astype(theano.config.floatX))
-        self.W_h2_h3   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh2, nh3)).astype(theano.config.floatX))
-        self.W_h3_h4   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh3, nh4)).astype(theano.config.floatX))
-        self.W_h4_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh4, nc)).astype(theano.config.floatX))
-
-        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
-
-  
-        def one_step(word_id, word_children_positions, y_true, i, hidden_states, learning_rate):
-
-	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
-
-	    tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
-	    eh2 = T.tanh(T.dot(eh,self.W_eh_eh2))
-
-	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
-	    shh2 = T.tanh(T.dot(shh,self.W_shh_shh2))
-
-
-            h = T.tanh(T.concatenate([T.dot(eh2, self.W_eh2_h), T.dot(shh2,self.W_shh2_h)]))
- 
-	    h2 = T.tanh(T.dot(h, self.W_h_h2)) 
-	    h3 = T.tanh(T.dot(h2, self.W_h2_h3)) 
-	    h4 = T.tanh(T.dot(h3, self.W_h3_h4)) 
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h4,self.W_h4_y) + self.b_y)[0]
-	
-	    #l2_norm = T.sum(self.W_h_h2**2) + T.sum(self.W_h2_y**2) + T.sum(self.W_e_h**2) + T.sum(self.W_sh_h**2) + T.sum(self.emb**2) + T.sum(self.b_h**2) + T.sum(self.b_y**2)
-
-            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
-                                 
-            return cross_entropy, hidden_states_new  
-
-
-        y = T.vector('y',dtype=dataType)
-        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
-	words = T.vector(dtype=dataType)
-        children_positions = T.matrix(dtype=dataType)
-	words_indexes = T.vector(dtype=dataType)
-
-	cross_entropy_vector, _ = theano.scan(fn=one_step, \
-                                 sequences = [words, children_positions,y,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))],
-                                 non_sequences = learning_rate,
-                                 n_steps = words.shape[0])
-
-	cost = T.sum(cross_entropy_vector[0])
-
-        updates = OrderedDict([
-			(self.W_h_h2, self.W_h_h2-learning_rate*T.grad(cost, self.W_h_h2)),
-			(self.W_h2_h3, self.W_h2_h3-learning_rate*T.grad(cost, self.W_h2_h3)),
-			(self.W_h3_h4, self.W_h3_h4-learning_rate*T.grad(cost, self.W_h3_h4)),
-			(self.W_h4_y, self.W_h4_y-learning_rate*T.grad(cost, self.W_h4_y)),
-			(self.W_e_eh, self.W_e_eh-learning_rate*T.grad(cost, self.W_e_eh)),
-			(self.W_eh_eh2, self.W_eh_eh2-learning_rate*T.grad(cost, self.W_eh_eh2)),
-			(self.W_eh2_h, self.W_eh2_h-learning_rate*T.grad(cost, self.W_eh2_h)),
-			(self.W_shh2_h, self.W_shh2_h-learning_rate*T.grad(cost, self.W_shh2_h)),
-			(self.W_sh_shh, self.W_sh_shh-learning_rate*T.grad(cost, self.W_sh_shh)),
-			(self.W_shh_shh2, self.W_shh_shh2-learning_rate*T.grad(cost, self.W_shh_shh2)),
-			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
-                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
-			])
-
-	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
-                                      outputs = [],
-                                      updates = updates,
-                                      allow_input_downcast=True,
-                                      mode='FAST_RUN'
-                                      )
-
- 
-        def one_step_classify(word_id, word_children_positions, i, hidden_states):
-
-	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
-
-            tmp = word_children_positions>=0.0
-	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
-	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
-	    number_of_children = tmp.sum(dtype = theano.config.floatX)
-	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
-	    schh = schh/number_of_children
-
-	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
-	    eh2 = T.tanh(T.dot(eh,self.W_eh_eh2))
-
-	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
-	    shh2 = T.tanh(T.dot(shh,self.W_shh_shh2))
-
-
-            h = T.tanh(T.concatenate([T.dot(eh2, self.W_eh2_h), T.dot(shh2,self.W_shh2_h)]))
- 
-	    h2 = T.tanh(T.dot(h, self.W_h_h2)) 
-	    h3 = T.tanh(T.dot(h2, self.W_h2_h3)) 
-	    h4 = T.tanh(T.dot(h3, self.W_h3_h4)) 
-
-            current_hidden_state = hidden_states[i]
-            hidden_states_new = T.set_subtensor(current_hidden_state, h)
-
-            y_prob = T.nnet.softmax(T.dot(h4,self.W_h4_y) + self.b_y)[0]
-	    
-
-            return  y_prob, hidden_states_new 
-        
-
-	[y_probs_classify, hidden_states ], _ = theano.scan(
-				 fn=one_step_classify, 
-                                 sequences = [words, children_positions,words_indexes],
-				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))])
-	
-	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
-                                     sequences = [words_indexes])
-
-        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
-                                     outputs=predictions,
-                                     allow_input_downcast=True,
-                                     mode='FAST_RUN' 
-                                     )
-
-
-
-if __name__ == '__main__':
-
-
-
-    w2v_DIM = "300"
-
-
-
-    file_with_filtered_embeddings = "embeddings/embedding_and_words2ids_dim"+w2v_DIM+"_polish.pkl"
-    if not os.path.exists(file_with_filtered_embeddings):
-        print("Cannot find file with only needed embeddings. We use 'filter_embeddings' in order to create it.")
-        filter_embeddings(["data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt", 
-			   "data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt", 
-			   "data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt"],
-
-         "/home/norbert/Doktorat/clarin2sent/deeptagger/embeddings/w2v_allwiki_nkjpfull_"+w2v_DIM+".txt",
-         file_with_filtered_embeddings)
-        
-
-    s = {'lr':0.002,
-	 'nepochs':40,
-         'seed':345,
-         'nc':3         # number of y classes
-         }  
-
-  
-
-
-    batch_size = 1
-    
-
-
-    for neh_dim, neh2_dim, ne_dim, nshh_dim, nshh2_dim, nchd_dim, nh2_dim, nh3_dim , nh4_dim in [(300,300,300, 600,500,300, 600,600,400),(300,300,300, 600,500,300, 600,400,400),(300,300,300, 600,500,300, 600,400,200)][0:1]: 
-
-    	    np.random.seed(s['seed'])
-	    random.seed(s['seed'])
-
-
-    	    rnn = model55_pf17( neh = neh_dim, neh2 = neh2_dim, ne = ne_dim, nshh = nshh_dim, nshh2 = nshh2_dim, nchd = nchd_dim, nh2 = nh2_dim, nh3 = nh3_dim, nh4 = nh4_dim,
-             	            nc = s['nc'],
-                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-               	            max_phrase_length = 60 )
-	
-	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
-	    train_data_check = train_data 
-	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
-	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
-
-	    n_train = len(train_data)
-	    n_dev = len(dev_data)
-	    n_test = len(test_data)
-
-	    print ""
-	    print "model 55_pf17 : " , "neh_dim = ", neh_dim, "neh2_dim = ", neh2_dim,  "ne_dim = ", ne_dim  , "nshh_dim = ", nshh_dim, "nshh2_dim = ", nshh2_dim, "nchd_dim = ", nchd_dim, "nh2_dim = ", nh2_dim, "nh3_dim = ", nh3_dim, "nh4_dim = ", nh4_dim
-	    print ""
-
-            best_prediction_valid_all = 0
-            best_prediction_test_all = 0
-            best_prediction_test_root = 0
-            early_stop = 0
-
-
-	    tic = time.time()
-
-	    for e in xrange(s['nepochs']):
-
-		#if e >= 1:
-		#    s['lr'] = 0.8 * s['lr']
-
-                if early_stop == 10:
-                    break
-
-
-		# shuffle
-		shuffle([train_data], s['seed'])
-		
-		for i in range(n_train):
-		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
-		   
-		 	        
-     
-	        # Dev:
-	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
-                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
-	        for ii in range(n_dev):
-	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
-	            for j in range(len(pred)):
-	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
-                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
-
-
-		# Test:
-		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(n_test):
-		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
-		    for j in range(len(pred)):
-		        counts_test[pred[j], test_data[i][2][j]] += 1
-                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
-		
-		# Train
-		counts = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(len(train_data_check)):
-		    
-		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
-		    	pred  = rnn.classify(train_data_check[i][0],train_data_check[i][1], train_data_check[i][3])
-		    	for j in range(len(pred)):
-		    	    counts[pred[j], train_data_check[i][2][j]] += 1
-                   	counts_root[pred[-1], train_data_check[i][2][-1]] += 1
-
-
-	     
-	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
-                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
-		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
-		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
-
-                    early_stop = 0
-                else:
-                    early_stop = early_stop + 1
-
-
-	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
-
-
-
-    1/0
-
-
-
-    for nchd_dim in [100,200,300,400,500]: 
-
-    	    np.random.seed(s['seed'])
-	    random.seed(s['seed'])
-
-
-    	    rnn = model55_pf16(nchd = nchd_dim, 
-             	            nc = s['nc'],
-                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-               	            max_phrase_length = 60 )
-	
-       
-	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
-	    train_data_check = train_data 
-	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
-	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
-
-	    n_train = len(train_data)
-	    n_dev = len(dev_data)
-	    n_test = len(test_data)
-
-	    print ""
-	    print "model 55_pf16 : " , "nchd_dim = ", nchd_dim
-	    print ""
-
-            best_prediction_valid_all = 0
-            best_prediction_test_all = 0
-            best_prediction_test_root = 0
-            early_stop = 0
-
-
-	    tic = time.time()
-
-	    for e in xrange(s['nepochs']):
-
-		#if e >= 1:
-		#    s['lr'] = 0.8 * s['lr']
-
-                if early_stop == 10:
-                    break
-
-
-		# shuffle
-		shuffle([train_data], s['seed'])
-		
-		for i in range(n_train):
-		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
-		   
-		 	        
-     
-	        # Dev:
-	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
-                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
-	        for ii in range(n_dev):
-	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
-	            for j in range(len(pred)):
-	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
-                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
-
-
-		# Test:
-		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(n_test):
-		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
-		    for j in range(len(pred)):
-		        counts_test[pred[j], test_data[i][2][j]] += 1
-                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
-		
-		# Train
-		counts = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(len(train_data_check)):
-		    
-		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
-		    	pred  = rnn.classify(train_data_check[i][0],train_data_check[i][1], train_data_check[i][3])
-		    	for j in range(len(pred)):
-		    	    counts[pred[j], train_data_check[i][2][j]] += 1
-                   	counts_root[pred[-1], train_data_check[i][2][-1]] += 1
-
-
-	     
-	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
-                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
-		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
-		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
-
-                    early_stop = 0
-                else:
-                    early_stop = early_stop + 1
-
-
-	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
-
-
-
-
-
-
-    for neh_dim, neh2_dim, ne_dim, nshh_dim, nshh2_dim, nchd_dim, nh2_dim, nh3_dim in [(300,300,300, 600,500,300, 600,600),(300,300,300, 600,500,300, 600,400),(300,300,300, 600,500,300, 600,200),
-									     (300,300,300, 600,500,300, 400,400),(300,300,300, 600,500,300, 400,200),
-									     (300,300,300, 600,500,300, 200,200),(300,300,300, 600,500,300, 200,100),(300,300,300, 600,500,300, 100,100)]: 
-
-    	    np.random.seed(s['seed'])
-	    random.seed(s['seed'])
-
-
-    	    rnn = model55_pf15( neh = neh_dim, neh2 = neh2_dim, ne = ne_dim, nshh = nshh_dim, nshh2 = nshh2_dim, nchd = nchd_dim, nh2 = nh2_dim, nh3 = nh3_dim,
-             	            nc = s['nc'],
-                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-               	            max_phrase_length = 60 )
-	
-       
-	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
-	    train_data_check = train_data 
-	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
-	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
-
-	    n_train = len(train_data)
-	    n_dev = len(dev_data)
-	    n_test = len(test_data)
-
-	    print ""
-	    print "model 55_pf15 : " , "neh_dim = ", neh_dim, "neh2_dim = ", neh2_dim,  "ne_dim = ", ne_dim  , "nshh_dim = ", nshh_dim, "nshh2_dim = ", nshh2_dim, "nchd_dim = ", nchd_dim, "nh2_dim = ", nh2_dim, "nh3_dim = ", nh3_dim
-	    print ""
-
-            best_prediction_valid_all = 0
-            best_prediction_test_all = 0
-            best_prediction_test_root = 0
-            early_stop = 0
-
-
-	    tic = time.time()
-
-	    for e in xrange(s['nepochs']):
-
-		#if e >= 1:
-		#    s['lr'] = 0.8 * s['lr']
-
-                if early_stop == 10:
-                    break
-
-
-		# shuffle
-		shuffle([train_data], s['seed'])
-		
-		for i in range(n_train):
-		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
-		   
-		 	        
-     
-	        # Dev:
-	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
-                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
-	        for ii in range(n_dev):
-	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
-	            for j in range(len(pred)):
-	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
-                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
-
-
-		# Test:
-		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(n_test):
-		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
-		    for j in range(len(pred)):
-		        counts_test[pred[j], test_data[i][2][j]] += 1
-                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
-		
-		# Train
-		counts = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(len(train_data_check)):
-		    
-		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
-		    	pred  = rnn.classify(train_data_check[i][0],train_data_check[i][1], train_data_check[i][3])
-		    	for j in range(len(pred)):
-		    	    counts[pred[j], train_data_check[i][2][j]] += 1
-                   	counts_root[pred[-1], train_data_check[i][2][-1]] += 1
-
-
-	     
-	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
-                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
-		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
-		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
-
-                    early_stop = 0
-                else:
-                    early_stop = early_stop + 1
-
-
-	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
-
-
-
-    1/0
-
-
-
-
-
-    for neh_dim, neh2_dim, ne_dim, nshh_dim, nshh2_dim, nchd_dim, nh2_dim in [(300,300,300, 600,500,300, 600),(300,300,300, 600,500,300, 400),(300,300,300, 600,500,300, 200)]: 
-
-    	    np.random.seed(s['seed'])
-	    random.seed(s['seed'])
-
-
-    	    rnn = model55_pf14( neh = neh_dim, neh2 = neh2_dim, ne = ne_dim, nshh = nshh_dim, nshh2 = nshh2_dim, nchd = nchd_dim, nh2 = nh2_dim,
-             	            nc = s['nc'],
-                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-               	            max_phrase_length = 60 )
-	
-       
-	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
-	    train_data_check = train_data 
-	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
-	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
-
-	    n_train = len(train_data)
-	    n_dev = len(dev_data)
-	    n_test = len(test_data)
-
-	    print ""
-	    print "model 55_pf14 : " , "neh_dim = ", neh_dim, "neh2_dim = ", neh2_dim,  "ne_dim = ", ne_dim  , "nshh_dim = ", nshh_dim, "nshh2_dim = ", nshh2_dim, "nchd_dim = ", nchd_dim, "nh2_dim = ", nh2_dim
-	    print ""
-
-            best_prediction_valid_all = 0
-            best_prediction_test_all = 0
-            best_prediction_test_root = 0
-            early_stop = 0
-
-
-	    tic = time.time()
-
-	    for e in xrange(s['nepochs']):
-
-		#if e >= 1:
-		#    s['lr'] = 0.8 * s['lr']
-
-                if early_stop == 10:
-                    break
-
-
-		# shuffle
-		shuffle([train_data], s['seed'])
-		
-		for i in range(n_train):
-		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
-		   
-		 	        
-     
-	        # Dev:
-	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
-                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
-	        for ii in range(n_dev):
-	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
-	            for j in range(len(pred)):
-	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
-                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
-
-
-		# Test:
-		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(n_test):
-		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
-		    for j in range(len(pred)):
-		        counts_test[pred[j], test_data[i][2][j]] += 1
-                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
-		
-		# Train
-		counts = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(len(train_data_check)):
-		    
-		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
-		    	pred  = rnn.classify(train_data_check[i][0],train_data_check[i][1], train_data_check[i][3])
-		    	for j in range(len(pred)):
-		    	    counts[pred[j], train_data_check[i][2][j]] += 1
-                   	counts_root[pred[-1], train_data_check[i][2][-1]] += 1
-
-
-	     
-	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
-                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
-		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
-		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
-
-                    early_stop = 0
-                else:
-                    early_stop = early_stop + 1
-
-
-	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
-
-
-
-    1/0
-
-
-
-    for neh_dim, neh2_dim, ne_dim, nshh_dim, nshh2_dim, nchd_dim in [(300,300,300, 600,500,300),(300,300,300, 600,300,300), (300,300,200, 400,300,200), (300,200,200, 400,300,200)]: 
-
-    	    np.random.seed(s['seed'])
-	    random.seed(s['seed'])
-
-
-    	    rnn = model55_pf13( neh = neh_dim, neh2 = neh2_dim, ne = ne_dim, nshh = nshh_dim, nshh2 = nshh2_dim, nchd = nchd_dim,
-             	            nc = s['nc'],
-                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-               	            max_phrase_length = 60 )
-	
-       
-	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
-	    train_data_check = train_data 
-	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
-	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
-
-	    n_train = len(train_data)
-	    n_dev = len(dev_data)
-	    n_test = len(test_data)
-
-	    print ""
-	    #print "model 56 : h_dim = ", h_dim, "h2_dim = ", h2_dim, "h3_dim = ", h3_dim, " learning rate = ", s['lr']#, "dropout rate: ", dropout_rate
-	    print "model 55_pf13 : " , "neh_dim = ", neh_dim, "neh2_dim = ", neh2_dim,  "ne_dim = ", ne_dim  , "nshh_dim = ", nshh_dim, "nshh2_dim = ", nshh2_dim, "nchd_dim = ", nchd_dim
-	    print ""
-
-            best_prediction_valid_all = 0
-            best_prediction_test_all = 0
-            best_prediction_test_root = 0
-            early_stop = 0
-
-
-	    tic = time.time()
-
-	    for e in xrange(s['nepochs']):
-
-		#if e >= 1:
-		#    s['lr'] = 0.8 * s['lr']
-
-                if early_stop == 10:
-                    break
-
-
-		# shuffle
-		shuffle([train_data], s['seed'])
-		
-		for i in range(n_train):
-		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
-		   
-		 	        
-     
-	        # Dev:
-	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
-                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
-	        for ii in range(n_dev):
-	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
-	            for j in range(len(pred)):
-	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
-                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
-
-
-		# Test:
-		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(n_test):
-		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
-		    for j in range(len(pred)):
-		        counts_test[pred[j], test_data[i][2][j]] += 1
-                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
-		
-		# Train
-		counts = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(len(train_data_check)):
-		    
-		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
-		    	pred  = rnn.classify(train_data_check[i][0],train_data_check[i][1], train_data_check[i][3])
-		    	for j in range(len(pred)):
-		    	    counts[pred[j], train_data_check[i][2][j]] += 1
-                   	counts_root[pred[-1], train_data_check[i][2][-1]] += 1
-
-
-	     
-	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
-                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
-		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
-		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
-
-                    early_stop = 0
-                else:
-                    early_stop = early_stop + 1
-
-
-	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
-
-
-
-    1/0
-
-
-
-    for neh_dim, ne_dim, nshh_dim, nchd_dim, nh2_dim, nh3_dim, nh4_dim in [(300,200, 300,200, 300,200,100), (300,200, 300,200, 300,200,200), (300,200, 300,200, 400,300,100), (300,200, 300,200, 400,400,200),
-									   (300,300, 300,300, 400,300,100), (300,300, 300,300, 400,400,200), (300,300, 300,300, 600,400,200)]: 
-
-    	    np.random.seed(s['seed'])
-	    random.seed(s['seed'])
-
-
-    	    rnn = model55_pf12( neh = neh_dim, ne = ne_dim, nshh = nshh_dim, nchd = nchd_dim, nh2 = nh2_dim, nh3 = nh3_dim, nh4 = nh4_dim, 
-             	            nc = s['nc'],
-                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-               	            max_phrase_length = 60 )
-	
-       
-	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
-	    train_data_check = train_data 
-	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
-	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
-
-	    n_train = len(train_data)
-	    n_dev = len(dev_data)
-	    n_test = len(test_data)
-
-	    print ""
-	    #print "model 56 : h_dim = ", h_dim, "h2_dim = ", h2_dim, "h3_dim = ", h3_dim, " learning rate = ", s['lr']#, "dropout rate: ", dropout_rate
-	    print "model 55_pf12 : " , "neh_dim = ", neh_dim,  "ne_dim = ", ne_dim  , "nshh_dim = ", nshh_dim, "nchd_dim = ", nchd_dim, "nh2_dim = ", nh2_dim , "nh3_dim = ", nh3_dim, "nh4_dim = ", nh4_dim
-	    print ""
-
-            best_prediction_valid_all = 0
-            best_prediction_test_all = 0
-            best_prediction_test_root = 0
-            early_stop = 0
-
-
-	    tic = time.time()
-
-	    for e in xrange(s['nepochs']):
-
-		#if e >= 1:
-		#    s['lr'] = 0.8 * s['lr']
-
-                if early_stop == 10:
-                    break
-
-
-		# shuffle
-		shuffle([train_data], s['seed'])
-		
-		for i in range(n_train):
-		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
-		   
-		 	        
-     
-	        # Dev:
-	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
-                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
-	        for ii in range(n_dev):
-	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
-	            for j in range(len(pred)):
-	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
-                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
-
-
-		# Test:
-		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(n_test):
-		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
-		    for j in range(len(pred)):
-		        counts_test[pred[j], test_data[i][2][j]] += 1
-                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
-		
-		# Train
-		counts = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(len(train_data_check)):
-		    
-		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
-		    	pred  = rnn.classify(train_data_check[i][0],train_data_check[i][1], train_data_check[i][3])
-		    	for j in range(len(pred)):
-		    	    counts[pred[j], train_data_check[i][2][j]] += 1
-                   	counts_root[pred[-1], train_data_check[i][2][-1]] += 1
-
-
-	     
-	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
-                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
-		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
-		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
-
-                    early_stop = 0
-                else:
-                    early_stop = early_stop + 1
-
-
-	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
-
-
-
-
-
-
-
-    for nchd_dim, nh2_dim, nh3_dim in [(100,200,100),(100,200,200),(200,300,100),(300,400,200) ,(200,400,200),(300,400,300),(300,500,300)]: 
-
-    	    np.random.seed(s['seed'])
-	    random.seed(s['seed'])
-
-
-    	    rnn = model55_pf11(nchd = nchd_dim, nh2 = nh2_dim, nh3 = nh3_dim,
-             	            nc = s['nc'],
-                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-               	            max_phrase_length = 60 )
-	
-       
-	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
-	    train_data_check = train_data 
-	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
-	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
-
-	    n_train = len(train_data)
-	    n_dev = len(dev_data)
-	    n_test = len(test_data)
-
-	    print ""
-	    #print "model 56 : h_dim = ", h_dim, "h2_dim = ", h2_dim, "h3_dim = ", h3_dim, " learning rate = ", s['lr']#, "dropout rate: ", dropout_rate
-	    print "model 55_pf11 : " , "nchd_dim = ", nchd_dim, "nh2_dim = ", nh2_dim , "h3_dim = ", nh3_dim,
-	    print ""
-
-            best_prediction_valid_all = 0
-            best_prediction_test_all = 0
-            best_prediction_test_root = 0
-            early_stop = 0
-
-
-	    tic = time.time()
-
-	    for e in xrange(s['nepochs']):
-
-		#if e >= 1:
-		#    s['lr'] = 0.8 * s['lr']
-
-                if early_stop == 10:
-                    break
-
-
-		# shuffle
-		shuffle([train_data], s['seed'])
-		
-		for i in range(n_train):
-		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
-		   
-		 	        
-     
-	        # Dev:
-	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
-                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
-	        for ii in range(n_dev):
-	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
-	            for j in range(len(pred)):
-	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
-                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
-
-
-		# Test:
-		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(n_test):
-		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
-		    for j in range(len(pred)):
-		        counts_test[pred[j], test_data[i][2][j]] += 1
-                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
-		
-		# Train
-		counts = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(len(train_data_check)):
-		    
-		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
-		    	pred  = rnn.classify(train_data_check[i][0],train_data_check[i][1], train_data_check[i][3])
-		    	for j in range(len(pred)):
-		    	    counts[pred[j], train_data_check[i][2][j]] += 1
-                   	counts_root[pred[-1], train_data_check[i][2][-1]] += 1
-
-
-	     
-	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
-                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
-		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
-		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
-
-                    early_stop = 0
-                else:
-                    early_stop = early_stop + 1
-
-
-	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
-
-
-
-
-
-
-    for nchd_dim, nh2_dim in [(100,200),(100,300),(100,400),(200,200),(200,300),(200,400),(200,500),(300,300),(300,600)]: 
-
-    	    np.random.seed(s['seed'])
-	    random.seed(s['seed'])
-
-
-    	    rnn = model55_pf10(nchd = nchd_dim, nh2 = nh2_dim,
-             	            nc = s['nc'],
-                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-               	            max_phrase_length = 60 )
-	
-       
-	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
-	    train_data_check = train_data 
-	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
-	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
-
-	    n_train = len(train_data)
-	    n_dev = len(dev_data)
-	    n_test = len(test_data)
-
-	    print ""
-	    #print "model 56 : h_dim = ", h_dim, "h2_dim = ", h2_dim, "h3_dim = ", h3_dim, " learning rate = ", s['lr']#, "dropout rate: ", dropout_rate
-	    print "model 55_pf10 : " , "nchd_dim = ", nchd_dim, "nh2_dim = ", nh2_dim 
-	    print ""
-
-            best_prediction_valid_all = 0
-            best_prediction_test_all = 0
-            best_prediction_test_root = 0
-            early_stop = 0
-
-
-	    tic = time.time()
-
-	    for e in xrange(s['nepochs']):
-
-		#if e >= 1:
-		#    s['lr'] = 0.8 * s['lr']
-
-                if early_stop == 10:
-                    break
-
-
-		# shuffle
-		shuffle([train_data], s['seed'])
-		
-		for i in range(n_train):
-		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
-		   
-		 	        
-     
-	        # Dev:
-	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
-                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
-	        for ii in range(n_dev):
-	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
-	            for j in range(len(pred)):
-	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
-                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
-
-
-		# Test:
-		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(n_test):
-		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
-		    for j in range(len(pred)):
-		        counts_test[pred[j], test_data[i][2][j]] += 1
-                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
-		
-		# Train
-		counts = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(len(train_data_check)):
-		    
-		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
-		    	pred  = rnn.classify(train_data_check[i][0],train_data_check[i][1], train_data_check[i][3])
-		    	for j in range(len(pred)):
-		    	    counts[pred[j], train_data_check[i][2][j]] += 1
-                   	counts_root[pred[-1], train_data_check[i][2][-1]] += 1
-
-
-	     
-	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
-                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
-		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
-		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
-
-                    early_stop = 0
-                else:
-                    early_stop = early_stop + 1
-
-
-	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
-
-
-
-
-
-    for ne_dim, nchd_dim, nh2_dim, nh3_dim in [(200,200, 300,100), (200,200, 300,200), (200,200, 300,300), (200,200, 400,200),
-								  (300,300, 300,100), (300,300, 300,200), (300,300, 300,300), (300,300, 400,200), (300,300, 400,300),
-						(300,300, 400,400),(300,300, 600,300)]: 
-
-    	    np.random.seed(s['seed'])
-	    random.seed(s['seed'])
-
-
-    	    rnn = model55_pf9(ne = ne_dim, nchd = nchd_dim, nh2 = nh2_dim, nh3 = nh3_dim,
-             	            nc = s['nc'],
-                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-               	            max_phrase_length = 60 )
-	
-       
-	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
-	    train_data_check = train_data 
-	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
-	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
-
-	    n_train = len(train_data)
-	    n_dev = len(dev_data)
-	    n_test = len(test_data)
-
-	    print ""
-	    #print "model 56 : h_dim = ", h_dim, "h2_dim = ", h2_dim, "h3_dim = ", h3_dim, " learning rate = ", s['lr']#, "dropout rate: ", dropout_rate
-	    print "model 55_pf9 : " ,  "ne_dim = ", ne_dim  , "nchd_dim = ", nchd_dim, "nh2_dim = ", nh2_dim , "nh3_dim = ", nh3_dim
-	    print ""
-
-            best_prediction_valid_all = 0
-            best_prediction_test_all = 0
-            best_prediction_test_root = 0
-            early_stop = 0
-
-
-	    tic = time.time()
-
-	    for e in xrange(s['nepochs']):
-
-		#if e >= 1:
-		#    s['lr'] = 0.8 * s['lr']
-
-                if early_stop == 10:
-                    break
-
-
-		# shuffle
-		shuffle([train_data], s['seed'])
-		
-		for i in range(n_train):
-		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
-		   
-		 	        
-     
-	        # Dev:
-	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
-                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
-	        for ii in range(n_dev):
-	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
-	            for j in range(len(pred)):
-	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
-                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
-
-
-		# Test:
-		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(n_test):
-		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
-		    for j in range(len(pred)):
-		        counts_test[pred[j], test_data[i][2][j]] += 1
-                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
-		
-		# Train
-		counts = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(len(train_data_check)):
-		    
-		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
-		    	pred  = rnn.classify(train_data_check[i][0],train_data_check[i][1], train_data_check[i][3])
-		    	for j in range(len(pred)):
-		    	    counts[pred[j], train_data_check[i][2][j]] += 1
-                   	counts_root[pred[-1], train_data_check[i][2][-1]] += 1
-
-
-	     
-	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
-                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
-		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
-		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
-
-                    early_stop = 0
-                else:
-                    early_stop = early_stop + 1
-
-
-	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
-
-
-
-
-    for neh_dim, ne_dim, nshh_dim, nchd_dim, nh2_dim, nh3_dim in [(300,200, 300,200, 300,100), (300,200, 300,200, 300,200), (300,200, 300,200, 300,300), (300,200, 300,200, 400,200),
-								  (300,300, 300,300, 300,100), (300,300, 300,300, 300,200), (300,300, 300,300, 300,300), (300,300, 300,300, 400,200),
-								  (300,300, 300,300, 400,200), (300,300, 300,300, 600,200), (300,300, 300,300, 400,400), (300,300, 300,300, 600,400)]: 
-
-    	    np.random.seed(s['seed'])
-	    random.seed(s['seed'])
-
-
-    	    rnn = model55_pf8( neh = neh_dim, ne = ne_dim, nshh = nshh_dim, nchd = nchd_dim, nh2 = nh2_dim, nh3 = nh3_dim,
-             	            nc = s['nc'],
-                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-               	            max_phrase_length = 60 )
-	
-       
-	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
-	    train_data_check = train_data 
-	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
-	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
-
-	    n_train = len(train_data)
-	    n_dev = len(dev_data)
-	    n_test = len(test_data)
-
-	    print ""
-	    #print "model 56 : h_dim = ", h_dim, "h2_dim = ", h2_dim, "h3_dim = ", h3_dim, " learning rate = ", s['lr']#, "dropout rate: ", dropout_rate
-	    print "model 55_pf8 : " , "neh_dim = ", neh_dim,  "ne_dim = ", ne_dim  , "nshh_dim = ", nshh_dim, "nchd_dim = ", nchd_dim, "nh2_dim = ", nh2_dim , "nh3_dim = ", nh3_dim
-	    print ""
-
-            best_prediction_valid_all = 0
-            best_prediction_test_all = 0
-            best_prediction_test_root = 0
-            early_stop = 0
-
-
-	    tic = time.time()
-
-	    for e in xrange(s['nepochs']):
-
-		#if e >= 1:
-		#    s['lr'] = 0.8 * s['lr']
-
-                if early_stop == 10:
-                    break
-
-
-		# shuffle
-		shuffle([train_data], s['seed'])
-		
-		for i in range(n_train):
-		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
-		   
-		 	        
-     
-	        # Dev:
-	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
-                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
-	        for ii in range(n_dev):
-	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
-	            for j in range(len(pred)):
-	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
-                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
-
-
-		# Test:
-		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(n_test):
-		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
-		    for j in range(len(pred)):
-		        counts_test[pred[j], test_data[i][2][j]] += 1
-                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
-		
-		# Train
-		counts = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(len(train_data_check)):
-		    
-		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
-		    	pred  = rnn.classify(train_data_check[i][0],train_data_check[i][1], train_data_check[i][3])
-		    	for j in range(len(pred)):
-		    	    counts[pred[j], train_data_check[i][2][j]] += 1
-                   	counts_root[pred[-1], train_data_check[i][2][-1]] += 1
-
-
-	     
-	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
-                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
-		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
-		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
-
-                    early_stop = 0
-                else:
-                    early_stop = early_stop + 1
-
-
-	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
-
-
-
-
-
-
-
-    for ne_dim, nchd_dim, nh2_dim, nh3_dim in [(200,200, 200,200),(200,200, 300,100),(200,200, 300,200),(200,200, 300,300),(200,200, 400,200),(200,200, 400,300)]: 
-
-    	    np.random.seed(s['seed'])
-	    random.seed(s['seed'])
-
-
-    	    rnn = model55_pf3( ne = ne_dim, nchd = nchd_dim, nh2 = nh2_dim, nh3 = nh3_dim,
-             	            nc = s['nc'],
-                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-               	            max_phrase_length = 60 )
-	
-       
-	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
-	    train_data_check = train_data 
-	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
-	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
-
-	    n_train = len(train_data)
-	    n_dev = len(dev_data)
-	    n_test = len(test_data)
-
-	    print ""
-	    #print "model 56 : h_dim = ", h_dim, "h2_dim = ", h2_dim, "h3_dim = ", h3_dim, " learning rate = ", s['lr']#, "dropout rate: ", dropout_rate
-	    print "model 55_pf3 : " ,  "ne_dim = ", ne_dim  , "nchd_dim = ", nchd_dim, "nh2_dim = ", nh2_dim, "nh3_dim = ", nh3_dim
-	    print ""
-
-            best_prediction_valid_all = 0
-            best_prediction_test_all = 0
-            best_prediction_test_root = 0
-            early_stop = 0
-
-
-	    tic = time.time()
-
-	    for e in xrange(s['nepochs']):
-
-		#if e >= 1:
-		#    s['lr'] = 0.8 * s['lr']
-
-                if early_stop == 10:
-                    break
-
-
-		# shuffle
-		shuffle([train_data], s['seed'])
-		
-		for i in range(n_train):
-		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
-		   
-		 	        
-     
-	        # Dev:
-	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
-                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
-	        for ii in range(n_dev):
-	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
-	            for j in range(len(pred)):
-	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
-                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
-
-
-		# Test:
-		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(n_test):
-		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
-		    for j in range(len(pred)):
-		        counts_test[pred[j], test_data[i][2][j]] += 1
-                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
-		
-		# Train
-		counts = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(len(train_data_check)):
-		    
-		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
-		    	pred  = rnn.classify(train_data_check[i][0],train_data_check[i][1], train_data_check[i][3])
-		    	for j in range(len(pred)):
-		    	    counts[pred[j], train_data_check[i][2][j]] += 1
-                   	counts_root[pred[-1], train_data_check[i][2][-1]] += 1
-
-
-	     
-	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
-                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
-		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
-		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
-
-                    early_stop = 0
-                else:
-                    early_stop = early_stop + 1
-
-
-	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
-
-
-
-
-    for neh_dim, ne_dim, nshh_dim, nchd_dim, nh2_dim in [(200,100, 200,100, 100),(300,100, 300,100, 100), (300,200, 300,200, 100), (200,200, 200,200, 100), (200,100, 200,100, 100),
-							 (200,100, 200,100, 200),(300,100, 300,100, 200), (300,200, 300,200, 200), (200,200, 200,200, 200), (200,100, 200,100, 200),
-							 (300,300, 300,300, 100),(300,300, 300,300, 200),(300,300, 300,300, 300),(300,300, 300,300, 400),(300,300, 300,300, 500),
-							 (300,200, 300,200, 300), (300,200, 300,200, 400)][13:17]: 
-
-    	    np.random.seed(s['seed'])
-	    random.seed(s['seed'])
-
-
-    	    rnn = model55_pf7( neh = neh_dim, ne = ne_dim, nshh = nshh_dim, nchd = nchd_dim, nh2 = nh2_dim,
-             	            nc = s['nc'],
-                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-               	            max_phrase_length = 60 )
-	
-       
-	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
-	    train_data_check = train_data 
-	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
-	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
-
-	    n_train = len(train_data)
-	    n_dev = len(dev_data)
-	    n_test = len(test_data)
-
-	    print ""
-	    #print "model 56 : h_dim = ", h_dim, "h2_dim = ", h2_dim, "h3_dim = ", h3_dim, " learning rate = ", s['lr']#, "dropout rate: ", dropout_rate
-	    print "model 55_pf7 : " , "neh_dim = ", neh_dim,  "ne_dim = ", ne_dim  , "nshh_dim = ", nshh_dim, "nchd_dim = ", nchd_dim, "nh2_dim = ", nh2_dim
-	    print ""
-
-            best_prediction_valid_all = 0
-            best_prediction_test_all = 0
-            best_prediction_test_root = 0
-            early_stop = 0
-
-
-	    tic = time.time()
-
-	    for e in xrange(s['nepochs']):
-
-		#if e >= 1:
-		#    s['lr'] = 0.8 * s['lr']
-
-                if early_stop == 10:
-                    break
-
-
-		# shuffle
-		shuffle([train_data], s['seed'])
-		
-		for i in range(n_train):
-		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
-		   
-		 	        
-     
-	        # Dev:
-	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
-                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
-	        for ii in range(n_dev):
-	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
-	            for j in range(len(pred)):
-	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
-                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
-
-
-		# Test:
-		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(n_test):
-		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
-		    for j in range(len(pred)):
-		        counts_test[pred[j], test_data[i][2][j]] += 1
-                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
-		
-		# Train
-		counts = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(len(train_data_check)):
-		    
-		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
-		    	pred  = rnn.classify(train_data_check[i][0],train_data_check[i][1], train_data_check[i][3])
-		    	for j in range(len(pred)):
-		    	    counts[pred[j], train_data_check[i][2][j]] += 1
-                   	counts_root[pred[-1], train_data_check[i][2][-1]] += 1
-
-
-	     
-	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
-                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
-		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
-		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
-
-                    early_stop = 0
-                else:
-                    early_stop = early_stop + 1
-
-
-	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
-
-
-
-
-
-
-
-    for neh_dim, ne_dim, nshh_dim, nchd_dim in [(200,100, 200,100),(300,100, 300,100), (300,200, 300,200), (300,300, 300, 300), (200,200, 200,200), (200,100, 200,100)][3:4]: 
-
-    	    np.random.seed(s['seed'])
-	    random.seed(s['seed'])
-
-    	    #rnn = model55(   nh  = nh_dim, 
-            # 	            nc = s['nc'],
-            #    	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-            #  	            max_phrase_length = 60 )
-	
-    	    #rnn = model55_pf1(   ne  = ne_dim, nchd = nchd_dim,
-            # 	            nc = s['nc'],
-            #    	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-            #   	            max_phrase_length = 60 )
-
-    	    #rnn = model55_pf2(   ne  = ne_dim, nchd = nchd_dim, nh2 = nh2_dim, 
-            # 	            nc = s['nc'],
-            #    	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-            #  	            max_phrase_length = 60 )
-        
-    	    #rnn = model55_p3(   ne  = 200, nchd = 100, nh2 = nh2_dim, nh3 = nh3_dim,
-            # 	            nc = s['nc'],
-            #    	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-            #   	            max_phrase_length = 60 )
- 
-    	    rnn = model55_pf6( neh = neh_dim, ne = ne_dim, nshh = nshh_dim, nchd = nchd_dim,
-             	            nc = s['nc'],
-                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-               	            max_phrase_length = 60 )
-	
-       
-	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
-	    train_data_check = train_data 
-	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
-	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
-
-	    n_train = len(train_data)
-	    n_dev = len(dev_data)
-	    n_test = len(test_data)
-
-	    print ""
-	    #print "model 56 : h_dim = ", h_dim, "h2_dim = ", h2_dim, "h3_dim = ", h3_dim, " learning rate = ", s['lr']#, "dropout rate: ", dropout_rate
-	    print "model 55_pf6 : " , "neh_dim = ", neh_dim,  "ne_dim = ", ne_dim  , "nshh_dim = ", nshh_dim, "nchd_dim = ", nchd_dim
-	    print ""
-
-            best_prediction_valid_all = 0
-            best_prediction_test_all = 0
-            best_prediction_test_root = 0
-            early_stop = 0
-
+from sklearn.cross_validation import train_test_split
 
-	    tic = time.time()
-
-	    for e in xrange(s['nepochs']):
+dataType = 'int64'
 
-		#if e >= 1:
-		#    s['lr'] = 0.8 * s['lr']
 
-                if early_stop == 10:
-                    break
 
 
-		# shuffle
-		shuffle([train_data], s['seed'])
-		
-		for i in range(n_train):
-		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
-		   
-		 	        
-     
-	        # Dev:
-	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
-                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
-	        for ii in range(n_dev):
-	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
-	            for j in range(len(pred)):
-	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
-                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
 
 
-		# Test:
-		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(n_test):
-		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
-		    for j in range(len(pred)):
-		        counts_test[pred[j], test_data[i][2][j]] += 1
-                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
-		
-		# Train
-		counts = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(len(train_data_check)):
-		    
-		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
-		    	pred  = rnn.classify(train_data_check[i][0],train_data_check[i][1], train_data_check[i][3])
-		    	for j in range(len(pred)):
-		    	    counts[pred[j], train_data_check[i][2][j]] += 1
-                   	counts_root[pred[-1], train_data_check[i][2][-1]] += 1
+if __name__ == '__main__':
 
 
-	     
-	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
-                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
-		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
-		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
 
-                    early_stop = 0
-                else:
-                    early_stop = early_stop + 1
+    w2v_DIM = "300"
 
 
-	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
 
+    file_with_filtered_embeddings = "embeddings/embedding_and_words2ids_dim"+w2v_DIM+"_polish.pkl"
+    if not os.path.exists(file_with_filtered_embeddings):
+        print("Cannot find file with only needed embeddings. We use 'filter_embeddings' in order to create it.")
+        filter_embeddings(["data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt", 
+			   "data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt", 
+			   "data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt"],
 
+         "/home/norbert/Doktorat/clarin2sent/deeptagger/embeddings/w2v_allwiki_nkjpfull_"+w2v_DIM+".txt",
+         file_with_filtered_embeddings)
+        
 
+    s = {'lr':0.002,
+	 'nepochs':40,
+         'seed':345,
+         'nc':3         # number of y classes
+         }  
 
+  
 
-    for nshh_dim, nchd_dim in [(100,100),(200,100),(300,100),(200,200),(300,200),(300,300)]: 
 
-    	    np.random.seed(s['seed'])
-	    random.seed(s['seed'])
+    batch_size = 1
 
-    	    #rnn = model55(   nh  = nh_dim, 
-            # 	            nc = s['nc'],
-            #    	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-            #  	            max_phrase_length = 60 )
-	
-    	    #rnn = model55_pf1(   ne  = ne_dim, nchd = nchd_dim,
-            # 	            nc = s['nc'],
-            #    	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-            #   	            max_phrase_length = 60 )
 
-    	    #rnn = model55_pf2(   ne  = ne_dim, nchd = nchd_dim, nh2 = nh2_dim, 
-            # 	            nc = s['nc'],
-            #    	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-            #  	            max_phrase_length = 60 )
-        
-    	    #rnn = model55_p3(   ne  = 200, nchd = 100, nh2 = nh2_dim, nh3 = nh3_dim,
-            # 	            nc = s['nc'],
-            #    	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-            #   	            max_phrase_length = 60 )
- 
-    	    rnn = model55_pf5( ne = 300, nshh = nshh_dim, nchd = nchd_dim,
+    w2vecs = pickle.load(open(file_with_filtered_embeddings,"r"))
+    
+    #ids2words = {v: k for k, v in w2vecs["words2ids"].iteritems()}
+    #ids2words[-1] = "_punct_"
+    
+    rnn = model55_pf1(   ne  = 100, nchd = 100,
              	            nc = s['nc'],
-                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
+                	    w2vecs = w2vecs, #wczesniej file_with_filtered_embeddings
                	            max_phrase_length = 60 )
-	
-       
-	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
-	    train_data_check = train_data 
-	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
-	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
-
-	    n_train = len(train_data)
-	    n_dev = len(dev_data)
-	    n_test = len(test_data)
-
-	    print ""
-	    #print "model 56 : h_dim = ", h_dim, "h2_dim = ", h2_dim, "h3_dim = ", h3_dim, " learning rate = ", s['lr']#, "dropout rate: ", dropout_rate
-	    print "model 55_pf5 : " , "ne_dim = ", 300  , "nshh_dim = ", nshh_dim, "nchd_dim = ", nchd_dim
-	    print ""
-
-            best_prediction_valid_all = 0
-            best_prediction_test_all = 0
-            best_prediction_test_root = 0
-            early_stop = 0
-
-
-	    tic = time.time()
-
-	    for e in xrange(s['nepochs']):
-
-		#if e >= 1:
-		#    s['lr'] = 0.8 * s['lr']
 
-                if early_stop == 10:
-                    break
 
+    sent = open("data/dane_polskie/train/train_sentence.txt","r")
+    sentences = [x.split() for x in sent.readlines()]
+    sent.close()
+    sent = open("data/dane_polskie/dev/dev_sentence.txt","r")
+    sentences.extend([x.split() for x in sent.readlines()])
+    sent.close()
+    sent = open("data/dane_polskie/test/test_sentence.txt","r")
+    sentences.extend([x.split() for x in sent.readlines()])
+    sent.close()
 
-		# shuffle
-		shuffle([train_data], s['seed'])
-		
-		for i in range(n_train):
-		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
-		   
-		 	        
-     
-	        # Dev:
-	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
-                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
-	        for ii in range(n_dev):
-	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
-	            for j in range(len(pred)):
-	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
-                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
+    train_data = load_stanford_data4_2("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",w2vecs["words2ids"],True,batch_size,s['nc'])     
+    #train_data_check = train_data 
+    dev_data = load_stanford_data4_2("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",w2vecs["words2ids"],False,0,s['nc'])
+    test_data = load_stanford_data4_2("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",w2vecs["words2ids"],False,0,s['nc'])
 
+    data = train_data[0]
+    data.extend(dev_data[0])
+    data.extend(test_data[0])
 
-		# Test:
-		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(n_test):
-		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
-		    for j in range(len(pred)):
-		        counts_test[pred[j], test_data[i][2][j]] += 1
-                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
-		
-		# Train
-		counts = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(len(train_data_check)):
-		    
-		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
-		    	pred  = rnn.classify(train_data_check[i][0],train_data_check[i][1], train_data_check[i][3])
-		    	for j in range(len(pred)):
-		    	    counts[pred[j], train_data_check[i][2][j]] += 1
-                   	counts_root[pred[-1], train_data_check[i][2][-1]] += 1
+    orders = train_data[1]
+    orders.extend(dev_data[1])
+    orders.extend(test_data[1])
 
 
-	     
-	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
-                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
-		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
-		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
+    print(data[0:3])
+    print(orders[0:3])
+    print(sentences[0:3])
 
-                    early_stop = 0
-                else:
-                    early_stop = early_stop + 1
+    n = len(data)
+    print(n)
 
 
-	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
+    random.seed(s['seed'])
+    ind = range(n)
+    random.shuffle(ind)
+    print(ind[:5])
 
+    data = [data[i] for i in ind]
+    orders = [orders[i] for i in ind]
+    sentences = [np.array(sentences[i]) for i in ind]
 
 
+    print(data[0:3])
+    print(orders[0:3])
+    print(sentences[0:3])
 
-    for neh_dim, ne_dim in [(100,100),(200,100),(300,100),(200,200),(300,200),(300,300)]: 
+    #n_train = len(train_data)
+    #n_dev = len(dev_data)
+    #n_test = len(test_data)
+    
+    wyniki = []
 
-    	    np.random.seed(s['seed'])
-	    random.seed(s['seed'])
+    for k in range(12):
 
-    	    #rnn = model55(   nh  = nh_dim, 
-            # 	            nc = s['nc'],
-            #    	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-            #  	            max_phrase_length = 60 )
-	
-    	    #rnn = model55_pf1(   ne  = ne_dim, nchd = nchd_dim,
-            # 	            nc = s['nc'],
-            #    	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-            #   	            max_phrase_length = 60 )
 
-    	    #rnn = model55_pf2(   ne  = ne_dim, nchd = nchd_dim, nh2 = nh2_dim, 
-            # 	            nc = s['nc'],
-            #    	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-            #  	            max_phrase_length = 60 )
-        
-    	    #rnn = model55_p3(   ne  = 200, nchd = 100, nh2 = nh2_dim, nh3 = nh3_dim,
-            # 	            nc = s['nc'],
-            #    	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-            #   	            max_phrase_length = 60 )
- 
-    	    rnn = model55_pf4(  neh = neh_dim,  ne  = ne_dim, nchd = 300,
+    	    rnn = model55_pf1(   ne  = 100, nchd = 100,
              	            nc = s['nc'],
-                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
+                	    w2vecs = w2vecs, 
                	            max_phrase_length = 60 )
-	
-       
-	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
-	    train_data_check = train_data 
-	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
-	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
-
-	    n_train = len(train_data)
-	    n_dev = len(dev_data)
-	    n_test = len(test_data)
-
-	    print ""
-	    #print "model 56 : h_dim = ", h_dim, "h2_dim = ", h2_dim, "h3_dim = ", h3_dim, " learning rate = ", s['lr']#, "dropout rate: ", dropout_rate
-	    print "model 55_pf4 : " , "neh_dim = ", neh_dim, "ne_dim = ", ne_dim  , "nchd_dim = ", 300
-	    print ""
-
-            best_prediction_valid_all = 0
-            best_prediction_test_all = 0
-            best_prediction_test_root = 0
-            early_stop = 0
-
-
-	    tic = time.time()
-
-	    for e in xrange(s['nepochs']):
-
-		#if e >= 1:
-		#    s['lr'] = 0.8 * s['lr']
-
-                if early_stop == 10:
-                    break
-
-
-		# shuffle
-		shuffle([train_data], s['seed'])
-		
-		for i in range(n_train):
-		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
-		   
-		 	        
-     
-	        # Dev:
-	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
-                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
-	        for ii in range(n_dev):
-	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
-	            for j in range(len(pred)):
-	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
-                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
-
-
-		# Test:
-		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(n_test):
-		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
-		    for j in range(len(pred)):
-		        counts_test[pred[j], test_data[i][2][j]] += 1
-                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
-		
-		# Train
-		counts = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(len(train_data_check)):
-		    
-		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
-		    	pred  = rnn.classify(train_data_check[i][0],train_data_check[i][1], train_data_check[i][3])
-		    	for j in range(len(pred)):
-		    	    counts[pred[j], train_data_check[i][2][j]] += 1
-                   	counts_root[pred[-1], train_data_check[i][2][-1]] += 1
-
-
-	     
-	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
-                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
-		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
-		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
-
-                    early_stop = 0
-                else:
-                    early_stop = early_stop + 1
 
+	    rnn_best = rnn
 
-	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
-
-
-
-    for nchd_dim, ne_dim, nh2_dim in [(100,100,100),(200,100,100),(300,100,100), (100,200,100),(200,200,100),(300,200,100),(100,300,100),(200,300,100),(300,300,100),
-				      (100,100,200),(200,100,200),(300,100,200), (100,200,200),(200,200,200),(300,200,200),(100,300,200),(200,300,200),(300,300,200),
-				      (100,100,300),(200,100,300),(300,100,300), (100,200,300),(200,200,300),(300,200,300),(100,300,300),(200,300,300),(300,300,300)]: 
-
-    	    np.random.seed(s['seed'])
-	    random.seed(s['seed'])
-
-    	    #rnn = model55(   nh  = nh_dim, 
-            # 	            nc = s['nc'],
-            #    	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-            #  	            max_phrase_length = 60 )
-	
-    	    #rnn = model55_pf1(   ne  = ne_dim, nchd = nchd_dim,
-            # 	            nc = s['nc'],
-            #    	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-            #   	            max_phrase_length = 60 )
+	    ind_test = range(k*100,(k+1)*100)
+	    ind_learn = np.setdiff1d(range(n),ind_test)
+	    ind_train = np.random.choice(ind_learn,1000,False)
+	    train_data = [data[i] for i in ind_train]
+	    dev_data = [data[i] for i in np.setdiff1d(ind_learn,ind_train)]
+	    test_data = [data[i] for i in ind_test]
 
-    	    rnn = model55_pf2(   ne  = ne_dim, nchd = nchd_dim, nh2 = nh2_dim, 
-             	            nc = s['nc'],
-                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-              	            max_phrase_length = 60 )
-        
-    	    #rnn = model55_p3(   ne  = 200, nchd = 100, nh2 = nh2_dim, nh3 = nh3_dim,
-            # 	            nc = s['nc'],
-            #    	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-            #   	            max_phrase_length = 60 )
- 
-    	    #rnn = model55_p4(  neh = neh_dim,  ne  = ne_dim, nchd = 200,
-            # 	            nc = s['nc'],
-            #    	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-            #   	            max_phrase_length = 60 )
-	
-       
-	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
-	    train_data_check = train_data 
-	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
-	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
+	    test_sentences = [sentences[i] for i in ind_test]
 
 	    n_train = len(train_data)
 	    n_dev = len(dev_data)
 	    n_test = len(test_data)
 
-	    print ""
-	    #print "model 56 : h_dim = ", h_dim, "h2_dim = ", h2_dim, "h3_dim = ", h3_dim, " learning rate = ", s['lr']#, "dropout rate: ", dropout_rate
-	    print "model 55_pf2 : ", "nchd_dim = ", nchd_dim ,"ne_dim = ", ne_dim , "nh2_dim = ", nh2_dim
-	    print ""
+	    print(n_train, n_dev, n_test)
+
+
+	    #print ""
+	    #print "model 55_pf1 : ", "nchd_dim = ", nchd_dim ,"ne_dim = ", ne_dim 
+	    #print ""
 
             best_prediction_valid_all = 0
             best_prediction_test_all = 0
             best_prediction_test_root = 0
             early_stop = 0
 
-
 	    tic = time.time()
 
 	    for e in xrange(s['nepochs']):
 
-		#if e >= 1:
-		#    s['lr'] = 0.8 * s['lr']
-
-                if early_stop == 10:
+                if early_stop == 5:
                     break
 
 
 		# shuffle
-		shuffle([train_data], s['seed'])
+		#shuffle([train_data], s['seed'])
 		
 		for i in range(n_train):
 		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
@@ -4264,65 +195,127 @@ if __name__ == '__main__':
 	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
                     counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
 
-
 		# Test:
-		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(n_test):
-		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
-		    for j in range(len(pred)):
-		        counts_test[pred[j], test_data[i][2][j]] += 1
-                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
-		
-		# Train
-		counts = np.zeros((s['nc'],s['nc']),dtype='int')
-		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(len(train_data_check)):
-		    
-		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
-		    	pred  = rnn.classify(train_data_check[i][0],train_data_check[i][1], train_data_check[i][3])
-		    	for j in range(len(pred)):
-		    	    counts[pred[j], train_data_check[i][2][j]] += 1
-                   	counts_root[pred[-1], train_data_check[i][2][-1]] += 1
+		#counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
+		#counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		#for i in range(n_test):
+		#    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
+		#    for j in range(len(pred)):
+		#        counts_test[pred[j], test_data[i][2][j]] += 1
+                #    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
+		
+		## Train
+		#counts = np.zeros((s['nc'],s['nc']),dtype='int')
+		#counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		#for i in range(n_train):
+		#    
+		#    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
+		#    	pred  = rnn.classify(train_data[i][0],train_data[i][1], train_data[i][3])
+		#    	for j in range(len(pred)):
+		#    	    counts[pred[j], train_data[i][2][j]] += 1
+                #   	counts_root[pred[-1], train_data[i][2][-1]] += 1
 
 
-	     
 	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
+
+		    rnn_best = rnn
+
                     best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
-		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
-		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
+		    #best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
+		    #best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
 
                     early_stop = 0
                 else:
                     early_stop = early_stop + 1
 
+	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)) #," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
 
-	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
-
-
-
+	    
+	
+	    for i in range(n_test):
+		pred = rnn_best.classify(test_data[i][0],test_data[i][1], test_data[i][3])
+
+		#zdanie = np.array([ids2words[x] for x in test_data[i][0]])
+		#print(zdanie)
+		#print(np.array(orders[ind_test[i]]))
+		#orders_inverse = np.array([np.where(orders[ind_test[i]]==k)[0][0] for k in range(len(orders[ind_test[i]]))])
+		#print(orders_inverse)
+		#print(test_sentences[i])
+		#print(test_sentences[i][orders_inverse])
+		#print(test_sentences[i][orders[ind_test[i]]])	
+		for j in range(len(pred)):
+		    
+		    fraza = [j]
+		    for t in fraza:
+			x = np.setdiff1d(test_data[i][1][t],-1)
+        		fraza.extend(x)			
+		    	
+		    #print(fraza)
+		    o = np.array(orders[ind_test[i]])[np.array(fraza)].argsort() # pozycje slow frazy w oryginalnym zdaniu
+		    #print(o)
+
+		    #print(test_sentences[i][orders[ind_test[i]]][np.array(fraza)][o])
+		    #print(test_sentences[i][fraza])
+		    #print(test_sentences[i][fraza][orders_inverse])
+		    #print(test_sentences[i][np.array(fraza)[o]])
+		    #print(test_sentences[i][orders[ind_test[i]]])
+		    #print(test_sentences[i][o[fraza]]) nie dziala
+		    #slowa_frazy = sentences[i][o]#zdanie[fraza][o]
+		    slowa_frazy = test_sentences[i][orders[ind_test[i]]][np.array(fraza)][o]#zdanie[fraza][o]
+
+		    #print(slowa_frazy)
+		    wyniki.append([str(ind[ind_test[i]]), str(j), str(test_data[i][2][j]-1), str(pred[j]-1), ' '.join(slowa_frazy)])
+		    #wyniki.append(','.join([' '.join(slowa_frazy), str(test_data[i][2][j]), str(pred[j])]))
+
+    #wyniki = pd.DataFrame(
+    #{'numer zdania': [x[0] for x in wyniki],
+    # 'numer_frazy_(pozycja_korzenia_frazy_w_zdaniu)': [x[1] for x in wyniki],
+    # 'fraza': [x[2] for x in wyniki],
+    # 'etykieta': [x[3] for x in wyniki],
+    # 'wskazanie modelu': [x[3] for x in wyniki]
+    #})
+
+    #wyniki.to_csv("klasyfikacje.csv")
+
+    #1/0
+
+    f = open("klasyfikacje.txt","w")
+    f.writelines("id_zdania; pozycja_korenia_frazy_w_zdaniu; etykieta; wskazanie_modelu; fraza \n")
+    f.writelines('\n'.join([';'.join(x) for x in wyniki]))
+    f.close()
+
+    f = open("klasyfikacje_bledne.txt","w")
+    f.writelines("id_zdania; pozycja_korenia_frazy_w_zdaniu; etykieta; wskazanie_modelu; fraza \n")
+    f.writelines('\n'.join([';'.join(x) for x in wyniki if x[2]!=x[3]]))
+    f.close()
+
+    f = open("klasyfikacje_bez_slow.txt","w")
+    f.writelines("id_zdania; pozycja_korenia_frazy_w_zdaniu; etykieta; wskazanie_modelu; fraza \n")
+    f.writelines('\n'.join([';'.join(x) for x in wyniki if len(x[4].split())>1]))
+    f.close()
+
+    f = open("klasyfikacje_bledne_bez_slow.txt","w")
+    f.writelines("id_zdania; pozycja_korenia_frazy_w_zdaniu; etykieta; wskazanie_modelu; fraza \n")
+    f.writelines('\n'.join([';'.join(x) for x in wyniki if len(x[4].split())>1 and x[2]!=x[3]]))
+    f.close()
+		    #print(test_data[i][0][fraza])#zkleic o w liste/ramke i potem do csv tylko wypluc na koniec
+		    
+ 
 
     1/0
 
-    for nchd_dim, ne_dim in [(100,100),(200,100),(300,100), (100,200),(200,200),(300,200),(100,300),(200,300),(300,300)]: 
+    for nchd_dim, ne_dim in [(100,100)]: 
 
     	    np.random.seed(s['seed'])
 	    random.seed(s['seed'])
 
+
+
     	    rnn = model55_pf1(   ne  = ne_dim, nchd = nchd_dim,
              	            nc = s['nc'],
-                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
+                	    w2vecs = w2vecs, 
                	            max_phrase_length = 60 )
 
-	    train_data = load_stanford_data4("data/dane_polskie/train/train_labels.txt", "data/dane_polskie/train/train_parents.txt","data/dane_polskie/train/train_sentence.txt",rnn.words2ids,True,batch_size,s['nc'])     
-	    train_data_check = train_data 
-	    dev_data = load_stanford_data4("data/dane_polskie/dev/dev_labels.txt", "data/dane_polskie/dev/dev_parents.txt","data/dane_polskie/dev/dev_sentence.txt",rnn.words2ids,False,0,s['nc'])
-	    test_data = load_stanford_data4("data/dane_polskie/test/test_labels.txt", "data/dane_polskie/test/test_parents.txt","data/dane_polskie/test/test_sentence.txt",rnn.words2ids,False,0,s['nc'])
-
-	    n_train = len(train_data)
-	    n_dev = len(dev_data)
-	    n_test = len(test_data)
-
 
 	    print ""
 	    print "model 55_pf1 : ", "nchd_dim = ", nchd_dim ,"ne_dim = ", ne_dim 
@@ -4337,7 +330,7 @@ if __name__ == '__main__':
 
 	    for e in xrange(s['nepochs']):
 
-                if early_stop == 10:
+                if early_stop == 5:
                     break
 
 
@@ -4370,13 +363,13 @@ if __name__ == '__main__':
 		# Train
 		counts = np.zeros((s['nc'],s['nc']),dtype='int')
 		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
-		for i in range(len(train_data_check)):
+		for i in range(n_train):
 		    
 		    if i % 1 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
-		    	pred  = rnn.classify(train_data_check[i][0],train_data_check[i][1], train_data_check[i][3])
+		    	pred  = rnn.classify(train_data[i][0],train_data[i][1], train_data[i][3])
 		    	for j in range(len(pred)):
-		    	    counts[pred[j], train_data_check[i][2][j]] += 1
-                   	counts_root[pred[-1], train_data_check[i][2][-1]] += 1
+		    	    counts[pred[j], train_data[i][2][j]] += 1
+                   	counts_root[pred[-1], train_data[i][2][-1]] += 1
 
 
 	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
diff --git a/main_for_experiments_on_stanford_data.py b/main_for_experiments_on_stanford_data.py
index a6e97a2..788284e 100644
--- a/main_for_experiments_on_stanford_data.py
+++ b/main_for_experiments_on_stanford_data.py
@@ -68,13 +68,13 @@ if __name__ == '__main__':
 
 
 
-    for ne_dim, nchd_dim in [(100,100)]:#,(200,200, 200,100),(200,200, 300,100),(100,100, 200,100)]: 
+    for  ne_dim, nchd_dim, nh2_dim in [(300, 300, 300),(100,300,300) ]: 
 
     	    np.random.seed(s['seed'])
 	    random.seed(s['seed'])
 
 
-    	    rnn = model55_pf1( ne = ne_dim, nchd = nchd_dim,# nh2 = nh2_dim,
+    	    rnn = model55_pf2_1( ne = ne_dim, nchd = nchd_dim, nh2 = nh2_dim, 
              	            nc = s['nc'],
                 	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
                	            max_phrase_length = 60 )
@@ -91,7 +91,7 @@ if __name__ == '__main__':
 
 	    print ""
 	    print "lr = ", s['lr']
-	    print "model 55_pf1 : ", "nchd_dim = ", nchd_dim ,"ne_dim = ", ne_dim #, "nh2_dim = ", nh2_dim
+	    print "model 55_pf2_1 : ", "nchd_dim = ", nchd_dim ,"ne_dim = ", ne_dim , "nh2_dim = ", nh2_dim
 	    print ""
 
             best_prediction_valid_all = 0
@@ -172,8 +172,106 @@ if __name__ == '__main__':
 
 
 
+    for neh_dim, ne_dim, nshh_dim, nchd_dim, nh2_dim in [(50,50, 50,50, 50), (100,100, 100,100, 100), (200,200, 200,200, 200),(300,200, 300,200, 200),(200,100, 200,200, 300)]: 
 
-### 9 , 2,3 , 5,6
+    	    np.random.seed(s['seed'])
+	    random.seed(s['seed'])
 
 
+    	    rnn = model55_pf7_1( neh = neh_dim, ne = ne_dim, nshh = nshh_dim, nchd = nchd_dim, nh2 = nh2_dim, 
+             	            nc = s['nc'],
+                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
+               	            max_phrase_length = 60 )
+	
+	    train_data = load_stanford_data4("data/sst/train/dlabels.txt", "data/sst/train/dparents.txt","data/sst/train/sents.toks",rnn.words2ids,True,batch_size,s['nc'])
         
+	    dev_data = load_stanford_data4("data/sst/dev/dlabels.txt", "data/sst/dev/dparents.txt","data/sst/dev/sents.toks",rnn.words2ids,False,0,s['nc'])
+
+	    test_data = load_stanford_data4("data/sst/test/dlabels.txt", "data/sst/test/dparents.txt","data/sst/test/sents.toks",rnn.words2ids,False,0,s['nc'])
+
+	    n_train = len(train_data)
+	    n_dev = len(dev_data)
+	    n_test = len(test_data)
+
+	    print ""
+	    print "lr = ", s['lr']
+	    print "model 55_pf7_1 : ", "neh_dim = ", neh_dim ,"ne_dim = ", ne_dim, "nshh_dim = ", nshh_dim, "nchd_dim = ", nchd_dim , "nh2_dim = ", nh2_dim
+	    print ""
+
+            best_prediction_valid_all = 0
+            best_prediction_test_all = 0
+            best_prediction_test_root = 0
+            early_stop = 0
+
+
+	    tic = time.time()
+
+	    for e in xrange(s['nepochs']):
+
+		#if e >= 1:
+		#    s['lr'] = 0.8 * s['lr']
+
+                if early_stop == 5:
+                    break
+
+
+		# shuffle
+		shuffle([train_data], s['seed'])
+		
+		for i in range(n_train):
+		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
+		   
+		 	        
+     
+	        # Dev:
+	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
+                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
+	        for ii in range(n_dev):
+	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
+	            for j in range(len(pred)):
+	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
+                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
+
+
+		# Test:
+		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(n_test):
+		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
+		    for j in range(len(pred)):
+		        counts_test[pred[j], test_data[i][2][j]] += 1
+                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
+		
+		# Train
+		counts = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(len(train_data)):
+		    
+		    if i % 10 == 0: #sprawdzamy dopasowanie na 1/10 zbioru zeby oszczedzic czas
+		    	pred  = rnn.classify(train_data[i][0],train_data[i][1], train_data[i][3])
+		    	for j in range(len(pred)):
+		    	    counts[pred[j], train_data[i][2][j]] += 1
+                   	counts_root[pred[-1], train_data[i][2][-1]] += 1
+
+
+		
+	    	print("Valid: ", "%0.2f" % (100 * np.diag(counts_dev).sum()/float(counts_dev.sum())),
+			"Valid root: ","%0.2f" % (100 * np.diag(counts_dev_root).sum()/float(counts_dev_root.sum())),
+			" Test all: ","%0.2f" % (100 * np.diag(counts_test).sum()/float(counts_test.sum())),
+			"Test root: ","%0.2f" % (100 * np.diag(counts_test_root).sum()/float(counts_test_root.sum())), 
+			" Train all: ","%0.2f" % (100 * np.diag(counts).sum()/float(counts.sum())),
+			"Train root: ","%0.2f" % (100 * np.diag(counts_root).sum()/float(counts_root.sum())),"   time: ", time.time()-tic)
+
+	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
+                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
+		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
+		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
+
+                    early_stop = 0
+                else:
+                    early_stop = early_stop + 1
+
+
+	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
+
+
diff --git a/main_for_sst_LSTM.py b/main_for_sst_LSTM.py
index baaa728..ffe9714 100644
--- a/main_for_sst_LSTM.py
+++ b/main_for_sst_LSTM.py
@@ -37,7 +37,7 @@ dataType = 'int64'
 if __name__ == '__main__':
 
 
-    sys.setrecursionlimit(10000)
+    #sys.setrecursionlimit(10000) przy jakims modelu wyskakiwal blad zbyt glebokiej rekursji - lstm_3?
 
     #w2v_DIM = "300"
 
@@ -54,24 +54,572 @@ if __name__ == '__main__':
          #file_with_filtered_embeddings)
         
 
-    s = {'lr':0.002,
-	 'nepochs':40,
+    s = {'lr':0.1,
+	 'nepochs':60,
          'seed':345,
-         'nc':5         # number of y classes
-         }  
+         'nc':5,         # number of y classes
+         'dropout_rate': 0.5 
+	}  
     batch_size = 1
+
    
+    for h_dim in [100]: 
+
+#    for h_dim, lr in [(50,0.00001)]: 
+
+# 0.003 - za duzo (nie uczy sie - stoi na totalnym niedopasowaniu)...
+
+#learning rate:  0.001
+#model LSTM_2 :  h_dim =  50
+
+#('epoch: ', 0, 'V all: ', '61.02', '   Test all: ', '61.51', 'V root: ', '20.80', '   Test root: ', '20.68', '   Train: ', '61.27', '   Train root: ', '21.01', '   time: ', 1255.681522846222)
+#('epoch: ', 1, 'V all: ', '65.59', '   Test all: ', '65.90', 'V root: ', '20.16', '   Test root: ', '17.33', '   Train: ', '65.89', '   Train root: ', '20.66', '   time: ', 2475.7308888435364)
+#('epoch: ', 2, 'V all: ', '68.51', '   Test all: ', '68.15', 'V root: ', '24.25', '   Test root: ', '20.18', '   Train: ', '68.48', '   Train root: ', '20.42', '   time: ', 3718.3433718681335)
+#('epoch: ', 3, 'V all: ', '71.62', '   Test all: ', '71.48', 'V root: ', '21.80', '   Test root: ', '19.46', '   Train: ', '71.88', '   Train root: ', '21.71', '   time: ', 4944.701282978058)
+
+
+#learning rate:  0.0005
+#model LSTM_2 :  h_dim =  50
+
+#('epoch: ', 0, 'V all: ', '76.23', '   Test all: ', '76.69', 'V root: ', '24.80', '   Test root: ', '24.62', '   Train: ', '77.84', '   Train root: ', '29.67', '   time: ', 723.1771469116211)
+#('epoch: ', 1, 'V all: ', '79.33', '   Test all: ', '79.53', 'V root: ', '24.61', '   Test root: ', '21.31', '   Train: ', '81.51', '   Train root: ', '27.85', '   time: ', 1444.1373410224915)
+#('epoch: ', 2, 'V all: ', '79.89', '   Test all: ', '80.18', 'V root: ', '26.07', '   Test root: ', '24.03', '   Train: ', '82.19', '   Train root: ', '28.55', '   time: ', 2162.4543590545654)
+#('epoch: ', 3, 'V all: ', '78.89', '   Test all: ', '79.06', 'V root: ', '24.16', '   Test root: ', '24.39', '   Train: ', '80.96', '   Train root: ', '25.92', '   time: ', 2925.5714309215546)
+#('epoch: ', 4, 'V all: ', '77.56', '   Test all: ', '77.54', 'V root: ', '25.61', '   Test root: ', '24.62', '   Train: ', '79.45', '   Train root: ', '28.55', '   time: ', 3678.9236590862274)
+#('epoch: ', 5, 'V all: ', '77.11', '   Test all: ', '76.54', 'V root: ', '25.34', '   Test root: ', '23.76', '   Train: ', '79.39', '   Train root: ', '30.02', '   time: ', 4413.707088947296)
+#('epoch: ', 6, 'V all: ', '78.84', '   Test all: ', '78.87', 'V root: ', '25.79', '   Test root: ', '23.71', '   Train: ', '81.08', '   Train root: ', '28.85', '   time: ', 5155.97053694725)
+#('epoch: ', 7, 'V all: ', '79.15', '   Test all: ', '79.28', 'V root: ', '23.43', '   Test root: ', '23.94', '   Train: ', '81.80', '   Train root: ', '27.74', '   time: ', 5909.94011592865)
+#('Best valid: ', '79.89', ' Test all: ', '80.18', 'Test root: ', '24.03', '   time: ', 5909.940170049667)
+
+#learning rate:  0.0001
+#model LSTM_2 :  h_dim =  50
+
+#('epoch: ', 0, 'V all: ', '83.38', '   Test all: ', '83.50', 'V root: ', '39.33', '   Test root: ', '40.90', '   Train: ', '85.44', '   Train root: ', '45.23', '   time: ', 1206.5235199928284)
+#('epoch: ', 1, 'V all: ', '84.65', '   Test all: ', '84.99', 'V root: ', '41.60', '   Test root: ', '43.26', '   Train: ', '88.22', '   Train root: ', '54.13', '   time: ', 2442.8121378421783)
+#('epoch: ', 2, 'V all: ', '85.01', '   Test all: ', '85.08', 'V root: ', '42.42', '   Test root: ', '40.32', '   Train: ', '89.76', '   Train root: ', '59.04', '   time: ', 3664.196129798889)
+#('epoch: ', 3, 'V all: ', '84.63', '   Test all: ', '84.95', 'V root: ', '38.78', '   Test root: ', '40.41', '   Train: ', '91.20', '   Train root: ', '64.13', '   time: ', 4896.872298002243)
+#('epoch: ', 4, 'V all: ', '84.37', '   Test all: ', '84.42', 'V root: ', '38.78', '   Test root: ', '39.95', '   Train: ', '92.34', '   Train root: ', '72.21', '   time: ', 6101.298743009567)
+
+
+#learning rate:  2e-05
+#model LSTM_2 :  h_dim =  50
+
+#('epoch: ', 0, 'V all: ', '81.31', '   Test all: ', '81.04', 'V root: ', '32.33', '   Test root: ', '29.86', '   Train: ', '81.73', '   Train root: ', '31.19', '   time: ', 1214.824695110321)
+#('epoch: ', 1, 'V all: ', '83.00', '   Test all: ', '82.69', 'V root: ', '36.24', '   Test root: ', '34.71', '   Train: ', '83.71', '   Train root: ', '38.62', '   time: ', 2426.0529041290283)
+#('epoch: ', 2, 'V all: ', '84.26', '   Test all: ', '83.84', 'V root: ', '37.97', '   Test root: ', '34.89', '   Train: ', '85.49', '   Train root: ', '37.98', '   time: ', 3627.8250019550323)
+#('epoch: ', 3, 'V all: ', '84.95', '   Test all: ', '84.55', 'V root: ', '39.33', '   Test root: ', '38.33', '   Train: ', '86.66', '   Train root: ', '44.00', '   time: ', 4831.473227024078)
+#('epoch: ', 4, 'V all: ', '85.11', '   Test all: ', '84.88', 'V root: ', '42.14', '   Test root: ', '41.72', '   Train: ', '87.37', '   Train root: ', '48.27', '   time: ', 6044.908637046814)
+#('epoch: ', 5, 'V all: ', '85.38', '   Test all: ', '85.26', 'V root: ', '42.87', '   Test root: ', '45.20', '   Train: ', '88.24', '   Train root: ', '50.26', '   time: ', 7244.637334108353)
+#('epoch: ', 6, 'V all: ', '85.31', '   Test all: ', '85.57', 'V root: ', '39.69', '   Test root: ', '43.26', '   Train: ', '89.04', '   Train root: ', '51.73', '   time: ', 8561.351366996765)
+#('epoch: ', 7, 'V all: ', '85.54', '   Test all: ', '85.73', 'V root: ', '43.32', '   Test root: ', '44.39', '   Train: ', '89.66', '   Train root: ', '55.82', '   time: ', 9810.183701992035)
+#('epoch: ', 8, 'V all: ', '85.50', '   Test all: ', '85.44', 'V root: ', '41.78', '   Test root: ', '41.18', '   Train: ', '89.94', '   Train root: ', '58.57', '   time: ', 11006.000055074692)
+#('epoch: ', 9, 'V all: ', '85.11', '   Test all: ', '85.34', 'V root: ', '36.15', '   Test root: ', '36.92', '   Train: ', '88.77', '   Train root: ', '49.21', '   time: ', 12216.652214050293)
+#('epoch: ', 10, 'V all: ', '85.55', '   Test all: ', '85.62', 'V root: ', '41.05', '   Test root: ', '40.18', '   Train: ', '90.48', '   Train root: ', '59.74', '   time: ', 13445.836520910263)
+#('epoch: ', 11, 'V all: ', '84.55', '   Test all: ', '84.78', 'V root: ', '40.33', '   Test root: ', '42.08', '   Train: ', '91.43', '   Train root: ', '67.00', '   time: ', 14741.413321018219)
+#('epoch: ', 12, 'V all: ', '85.04', '   Test all: ', '85.01', 'V root: ', '39.69', '   Test root: ', '40.68', '   Train: ', '92.08', '   Train root: ', '67.23', '   time: ', 15954.575786113739)
+#^CTraceback (most recent call last):
+
+#learning rate:  5e-06
+#model LSTM_2 :  h_dim =  50
+
+#('epoch: ', 0, 'V all: ', '78.10', '   Test all: ', '78.04', 'V root: ', '20.80', '   Test root: ', '17.60', '   Train: ', '78.35', '   Train root: ', '20.01', '   time: ', 906.8564038276672)
+#('epoch: ', 1, 'V all: ', '78.90', '   Test all: ', '78.75', 'V root: ', '20.89', '   Test root: ', '18.37', '   Train: ', '79.22', '   Train root: ', '20.19', '   time: ', 1749.5004358291626)
+#('epoch: ', 2, 'V all: ', '80.23', '   Test all: ', '79.99', 'V root: ', '23.07', '   Test root: ', '21.00', '   Train: ', '80.55', '   Train root: ', '22.12', '   time: ', 2576.6763110160828)
+#('epoch: ', 3, 'V all: ', '81.04', '   Test all: ', '80.80', 'V root: ', '28.25', '   Test root: ', '24.52', '   Train: ', '81.59', '   Train root: ', '28.03', '   time: ', 3395.1897149086)
+#('epoch: ', 4, 'V all: ', '81.74', '   Test all: ', '81.45', 'V root: ', '30.43', '   Test root: ', '27.29', '   Train: ', '82.35', '   Train root: ', '30.13', '   time: ', 4247.08246588707)
+#('epoch: ', 5, 'V all: ', '81.92', '   Test all: ', '81.48', 'V root: ', '32.43', '   Test root: ', '29.41', '   Train: ', '82.69', '   Train root: ', '32.24', '   time: ', 5245.526644945145)
+#('epoch: ', 6, 'V all: ', '82.68', '   Test all: ', '82.13', 'V root: ', '34.15', '   Test root: ', '31.99', '   Train: ', '83.44', '   Train root: ', '34.17', '   time: ', 6206.907346010208)
+#('epoch: ', 7, 'V all: ', '83.04', '   Test all: ', '82.63', 'V root: ', '36.69', '   Test root: ', '33.44', '   Train: ', '84.01', '   Train root: ', '36.69', '   time: ', 7047.221911907196)
+#('epoch: ', 8, 'V all: ', '83.16', '   Test all: ', '82.81', 'V root: ', '37.60', '   Test root: ', '34.80', '   Train: ', '83.95', '   Train root: ', '36.45', '   time: ', 7759.896826028824)
+#('epoch: ', 9, 'V all: ', '83.63', '   Test all: ', '83.37', 'V root: ', '38.69', '   Test root: ', '37.24', '   Train: ', '84.75', '   Train root: ', '40.84', '   time: ', 8475.138679981232)
+#('epoch: ', 10, 'V all: ', '83.86', '   Test all: ', '83.70', 'V root: ', '36.60', '   Test root: ', '33.94', '   Train: ', '85.26', '   Train root: ', '35.46', '   time: ', 9186.952306985855)
+#('epoch: ', 11, 'V all: ', '84.00', '   Test all: ', '83.84', 'V root: ', '39.51', '   Test root: ', '38.51', '   Train: ', '85.24', '   Train root: ', '43.30', '   time: ', 9897.459734916687)
+#('epoch: ', 12, 'V all: ', '84.37', '   Test all: ', '84.26', 'V root: ', '39.51', '   Test root: ', '38.51', '   Train: ', '86.13', '   Train root: ', '44.24', '   time: ', 10609.27455997467)
+#('epoch: ', 13, 'V all: ', '84.49', '   Test all: ', '84.16', 'V root: ', '42.42', '   Test root: ', '40.18', '   Train: ', '86.00', '   Train root: ', '46.52', '   time: ', 11321.803100824356)
+#('epoch: ', 14, 'V all: ', '84.76', '   Test all: ', '84.35', 'V root: ', '41.96', '   Test root: ', '41.04', '   Train: ', '86.37', '   Train root: ', '46.34', '   time: ', 12031.14258980751)
+#('epoch: ', 15, 'V all: ', '84.75', '   Test all: ', '84.52', 'V root: ', '40.05', '   Test root: ', '39.73', '   Train: ', '86.66', '   Train root: ', '46.64', '   time: ', 12743.083509922028)
+#('epoch: ', 16, 'V all: ', '84.93', '   Test all: ', '84.65', 'V root: ', '39.69', '   Test root: ', '40.09', '   Train: ', '86.96', '   Train root: ', '49.44', '   time: ', 13455.36703491211)
+#('epoch: ', 17, 'V all: ', '85.19', '   Test all: ', '84.93', 'V root: ', '42.05', '   Test root: ', '40.77', '   Train: ', '87.31', '   Train root: ', '46.34', '   time: ', 14167.276041984558)
+#('epoch: ', 18, 'V all: ', '85.26', '   Test all: ', '84.98', 'V root: ', '44.78', '   Test root: ', '42.40', '   Train: ', '87.55', '   Train root: ', '49.21', '   time: ', 14878.551615953445)
+#('epoch: ', 19, 'V all: ', '85.32', '   Test all: ', '85.11', 'V root: ', '43.05', '   Test root: ', '41.72', '   Train: ', '88.29', '   Train root: ', '52.02', '   time: ', 15591.390298843384)
+#('epoch: ', 20, 'V all: ', '85.45', '   Test all: ', '85.26', 'V root: ', '42.69', '   Test root: ', '41.99', '   Train: ', '88.22', '   Train root: ', '49.56', '   time: ', 16303.37038397789)
+#('epoch: ', 21, 'V all: ', '85.25', '   Test all: ', '85.08', 'V root: ', '42.05', '   Test root: ', '42.44', '   Train: ', '88.31', '   Train root: ', '49.50', '   time: ', 17015.317364931107)
+#('epoch: ', 22, 'V all: ', '85.34', '   Test all: ', '85.21', 'V root: ', '41.87', '   Test root: ', '42.49', '   Train: ', '88.77', '   Train root: ', '52.49', '   time: ', 17727.36454296112)
+#('epoch: ', 23, 'V all: ', '85.43', '   Test all: ', '85.37', 'V root: ', '40.42', '   Test root: ', '40.09', '   Train: ', '88.46', '   Train root: ', '51.32', '   time: ', 18438.01379084587)
+#('epoch: ', 24, 'V all: ', '85.38', '   Test all: ', '85.30', 'V root: ', '43.32', '   Test root: ', '44.07', '   Train: ', '88.51', '   Train root: ', '53.07', '   time: ', 19149.665289878845)
+#('epoch: ', 25, 'V all: ', '85.20', '   Test all: ', '85.17', 'V root: ', '42.96', '   Test root: ', '44.39', '   Train: ', '89.05', '   Train root: ', '55.47', '   time: ', 19864.14738702774)
+#('Best valid: ', '85.45', ' Test all: ', '85.26', 'Test root: ', '41.99', '   time: ', 19864.14743900299)
+
+
+  
+
+
+	    #s['lr'] = 0.004
+
+    	    np.random.seed(s['seed'])
+	    random.seed(s['seed'])
+    
+	    srng = RandomStreams(12345)
+
+
+    	    rnn = LSTM_1_3(   h_dim,
+             	            nc = s['nc'],
+                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
+               	            max_phrase_length = 60,
+			    dropout_rate = s['dropout_rate'],
+			    srng = srng)	    
+
+
+    	    #rnn = LSTM_3(   h_dim,
+            # 	            nc = s['nc'],
+            #    	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
+            #   	            max_phrase_length = 60)#,
+	    #		    #l = 0.001 )
+	
+       
+	    train_data = load_stanford_data4("data/sst/train/dlabels.txt", "data/sst/train/dparents.txt","data/sst/train/sents.toks",rnn.words2ids,True,batch_size,s['nc'])
+	    dev_data = load_stanford_data4("data/sst/dev/dlabels.txt", "data/sst/dev/dparents.txt","data/sst/dev/sents.toks",rnn.words2ids,False,0,s['nc'])
+	    test_data = load_stanford_data4("data/sst/test/dlabels.txt", "data/sst/test/dparents.txt","data/sst/test/sents.toks",rnn.words2ids,False,0,s['nc'])
+
+	    n_train = len(train_data)
+	    n_dev = len(dev_data)
+	    n_test = len(test_data)
+
+	    #print ""
+	    #print "learning rate: ", s['lr'], " batch = ", batch_size, " decay = ", 0.8
+	    #print "model LSTM_3 : " , "h_dim = ", h_dim
+	    #print ""
+	    print ""
+	    print "model LSTM_1_3 : " , "h_dim = ", h_dim, " learning rate = ", s['lr'], " batch_size = ", batch_size, " dropout_rate = ", s['dropout_rate'] 
+	    print ""
+
+            best_prediction_valid_root = 0
+            best_prediction_test_all = 0
+            best_prediction_test_root = 0
+            early_stop = 0
+
+
+	    tic = time.time()
+
+	    for e in xrange(s['nepochs']):
+
+		#if e >= 1:
+		#    s['lr'] = 0.8 * s['lr']
+
+                if early_stop == 10:
+                    break
+
+
+		# shuffle
+		shuffle([train_data], s['seed'])
+		
+		for i in range(n_train):
+		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
+		   
+		#pickle.dump(rnn, open("model" + str(e) + ".pkl",'wb'))		 	        
+     
+	        # Dev:
+	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
+                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
+	        for ii in range(n_dev):
+	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
+	            for j in range(len(pred)):
+	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
+                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
+
+
+		# Test:
+		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(n_test):
+		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
+		    for j in range(len(pred)):
+		        counts_test[pred[j], test_data[i][2][j]] += 1
+                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
+		
+		# Train
+		counts = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(len(train_data)):
+		    
+		    if i % 20 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
+		    	pred  = rnn.classify(train_data[i][0],train_data[i][1], train_data[i][3])
+		    	for j in range(len(pred)):
+		    	    counts[pred[j], train_data[i][2][j]] += 1
+                   	counts_root[pred[-1], train_data[i][2][-1]] += 1
+
+		print("epoch: ", e,
+		      "V all: ", "%0.2f" % (100 * np.diag(counts_dev).sum()/float(counts_dev.sum())), 
+		      "   Test all: ", "%0.2f" % (100 * np.diag(counts_test).sum()/float(counts_test.sum())), 
+                      "V root: ", "%0.2f" % (100 * np.diag(counts_dev_root).sum()/float(counts_dev_root.sum())), 
+		      "   Test root: ", "%0.2f" % (100 * np.diag(counts_test_root).sum()/float(counts_test_root.sum())), 
+		      "   Train: ", "%0.2f" % (100 * np.diag(counts).sum()/float(counts.sum())), 
+		      "   Train root: ", "%0.2f" % (100 * np.diag(counts_root).sum()/float(counts_root.sum()))  ,
+			 "   time: ", time.time()-tic
+		     )
+
+	     
+	        if np.diag(counts_dev_root).sum()/float(counts_dev_root.sum()) > best_prediction_valid_root:
+		    best_model = rnn
+                    best_prediction_valid_root = np.diag(counts_dev_root).sum()/float(counts_dev_root.sum())
+		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
+		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
+
+                    early_stop = 0
+                else:
+                    early_stop = early_stop + 1
+
+
+	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_root)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
+	    
+	    with open('best_model_LSTM_3_h_dim_100_batch_size_25_decay_08_lr_0004.pickle', 'wb') as handle:
+    		pickle.dump(best_model, handle)
 
-    for h_dim in [100]: #100, 150, 200
+
+	    1/0
+
+	    s['lr'] = 0.004
 
     	    np.random.seed(s['seed'])
 	    random.seed(s['seed'])
     
+	    
 
-    	    rnn = LSTM_1(   h_dim,
+
+    	    rnn = LSTM_6(   h_dim,
              	            nc = s['nc'],
                 	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
-               	            max_phrase_length = 60 )
+               	            max_phrase_length = 60)#,
+			    #l = 0.001 )
+	
+       
+	    train_data = load_stanford_data4("data/sst/train/dlabels.txt", "data/sst/train/dparents.txt","data/sst/train/sents.toks",rnn.words2ids,True,batch_size,s['nc'])
+	    dev_data = load_stanford_data4("data/sst/dev/dlabels.txt", "data/sst/dev/dparents.txt","data/sst/dev/sents.toks",rnn.words2ids,False,0,s['nc'])
+	    test_data = load_stanford_data4("data/sst/test/dlabels.txt", "data/sst/test/dparents.txt","data/sst/test/sents.toks",rnn.words2ids,False,0,s['nc'])
+
+	    n_train = len(train_data)
+	    n_dev = len(dev_data)
+	    n_test = len(test_data)
+
+	    print ""
+	    print "learning rate: ", s['lr'], " batch = ", batch_size, " decay = ", 0.8
+	    print "model LSTM_6 : " , "h_dim = ", h_dim
+	    print ""
+
+            best_prediction_valid_root = 0
+            best_prediction_test_all = 0
+            best_prediction_test_root = 0
+            early_stop = 0
+
+
+	    tic = time.time()
+
+	    for e in xrange(s['nepochs']):
+
+		if e >= 1:
+		    s['lr'] = 0.8 * s['lr']
+
+                if early_stop == 5:
+                    break
+
+
+		# shuffle
+		shuffle([train_data], s['seed'])
+		
+		for i in range(n_train):
+		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
+		   
+		#pickle.dump(rnn, open("model" + str(e) + ".pkl",'wb'))		 	        
+     
+	        # Dev:
+	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
+                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
+	        for ii in range(n_dev):
+	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
+	            for j in range(len(pred)):
+	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
+                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
+
+
+		# Test:
+		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(n_test):
+		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
+		    for j in range(len(pred)):
+		        counts_test[pred[j], test_data[i][2][j]] += 1
+                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
+		
+		# Train
+		counts = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(len(train_data)):
+		    
+		    if i % 20 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
+		    	pred  = rnn.classify(train_data[i][0],train_data[i][1], train_data[i][3])
+		    	for j in range(len(pred)):
+		    	    counts[pred[j], train_data[i][2][j]] += 1
+                   	counts_root[pred[-1], train_data[i][2][-1]] += 1
+
+		print("epoch: ", e,
+		      "V all: ", "%0.2f" % (100 * np.diag(counts_dev).sum()/float(counts_dev.sum())), 
+		      "   Test all: ", "%0.2f" % (100 * np.diag(counts_test).sum()/float(counts_test.sum())), 
+                      "V root: ", "%0.2f" % (100 * np.diag(counts_dev_root).sum()/float(counts_dev_root.sum())), 
+		      "   Test root: ", "%0.2f" % (100 * np.diag(counts_test_root).sum()/float(counts_test_root.sum())), 
+		      "   Train: ", "%0.2f" % (100 * np.diag(counts).sum()/float(counts.sum())), 
+		      "   Train root: ", "%0.2f" % (100 * np.diag(counts_root).sum()/float(counts_root.sum()))  ,
+			 "   time: ", time.time()-tic
+		     )
+
+	     
+	        if np.diag(counts_dev_root).sum()/float(counts_dev_root.sum()) > best_prediction_valid_root:
+ 		    best_model = rnn
+                    best_prediction_valid_root = np.diag(counts_dev_root).sum()/float(counts_dev_root.sum())
+		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
+		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
+
+                    early_stop = 0
+                else:
+                    early_stop = early_stop + 1
+
+
+	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_root)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
+	    
+	    with open('best_model_LSTM_6_h_dim_100_batch_size_25_decay_08_lr_0004.pickle', 'wb') as handle:
+    		pickle.dump(best_model, handle)
+
+
+
+
+
+	    1/0
+
+    	    np.random.seed(s['seed'])
+	    random.seed(s['seed'])
+	    
+	    #s['lr'] = lr
+
+    	    rnn = LSTM_2_1(   h_dim,
+             	            nc = s['nc'],
+                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
+               	            max_phrase_length = 60,
+			    l = 0.0004 )
+	
+       
+	    train_data = load_stanford_data4("data/sst/train/dlabels.txt", "data/sst/train/dparents.txt","data/sst/train/sents.toks",rnn.words2ids,True,batch_size,s['nc'])
+	    dev_data = load_stanford_data4("data/sst/dev/dlabels.txt", "data/sst/dev/dparents.txt","data/sst/dev/sents.toks",rnn.words2ids,False,0,s['nc'])
+	    test_data = load_stanford_data4("data/sst/test/dlabels.txt", "data/sst/test/dparents.txt","data/sst/test/sents.toks",rnn.words2ids,False,0,s['nc'])
+
+	    n_train = len(train_data)
+	    n_dev = len(dev_data)
+	    n_test = len(test_data)
+
+	    print ""
+	    print "learning rate: ", s['lr']#, " decay = ", 0.8
+	    print "model LSTM_2_1 : " , "h_dim = ", h_dim, "lambda = ", 0.004
+	    print ""
+
+            best_prediction_valid_all = 0
+            best_prediction_test_all = 0
+            best_prediction_test_root = 0
+            early_stop = 0
+
+
+	    tic = time.time()
+
+	    for e in xrange(s['nepochs']):
+
+		#if e >= 1:
+		#    s['lr'] = 0.8 * s['lr']
+
+                if early_stop == 5:
+                    break
+
+
+		# shuffle
+		shuffle([train_data], s['seed'])
+		
+		for i in range(n_train):
+		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
+		   
+		#pickle.dump(rnn, open("model" + str(e) + ".pkl",'wb'))		 	        
+     
+	        # Dev:
+	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
+                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
+	        for ii in range(n_dev):
+	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
+	            for j in range(len(pred)):
+	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
+                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
+
+
+		# Test:
+		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(n_test):
+		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
+		    for j in range(len(pred)):
+		        counts_test[pred[j], test_data[i][2][j]] += 1
+                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
+		
+		# Train
+		counts = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(len(train_data)):
+		    
+		    if i % 20 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
+		    	pred  = rnn.classify(train_data[i][0],train_data[i][1], train_data[i][3])
+		    	for j in range(len(pred)):
+		    	    counts[pred[j], train_data[i][2][j]] += 1
+                   	counts_root[pred[-1], train_data[i][2][-1]] += 1
+
+		print("epoch: ", e,
+		      "V all: ", "%0.2f" % (100 * np.diag(counts_dev).sum()/float(counts_dev.sum())), 
+		      "   Test all: ", "%0.2f" % (100 * np.diag(counts_test).sum()/float(counts_test.sum())), 
+                      "V root: ", "%0.2f" % (100 * np.diag(counts_dev_root).sum()/float(counts_dev_root.sum())), 
+		      "   Test root: ", "%0.2f" % (100 * np.diag(counts_test_root).sum()/float(counts_test_root.sum())), 
+		      "   Train: ", "%0.2f" % (100 * np.diag(counts).sum()/float(counts.sum())), 
+		      "   Train root: ", "%0.2f" % (100 * np.diag(counts_root).sum()/float(counts_root.sum()))  ,
+			 "   time: ", time.time()-tic
+		     )
+
+	     
+	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
+                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
+		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
+		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
+
+                    early_stop = 0
+                else:
+                    early_stop = early_stop + 1
+
+
+	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
+
+
+
+
+
+
+    	    np.random.seed(s['seed'])
+	    random.seed(s['seed'])
+    
+
+	    s['lr'] = 0.002
+
+    	    rnn = LSTM_2_1(   h_dim,
+             	            nc = s['nc'],
+                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
+               	            max_phrase_length = 60,
+			    l = 0.001 )
+	
+       
+	    train_data = load_stanford_data4("data/sst/train/dlabels.txt", "data/sst/train/dparents.txt","data/sst/train/sents.toks",rnn.words2ids,True,batch_size,s['nc'])
+	    dev_data = load_stanford_data4("data/sst/dev/dlabels.txt", "data/sst/dev/dparents.txt","data/sst/dev/sents.toks",rnn.words2ids,False,0,s['nc'])
+	    test_data = load_stanford_data4("data/sst/test/dlabels.txt", "data/sst/test/dparents.txt","data/sst/test/sents.toks",rnn.words2ids,False,0,s['nc'])
+
+	    n_train = len(train_data)
+	    n_dev = len(dev_data)
+	    n_test = len(test_data)
+
+	    print ""
+	    print "learning rate: ", s['lr']#, " decay = ", 0.8
+	    print "model LSTM_2_1 : " , "h_dim = ", h_dim
+	    print ""
+
+            best_prediction_valid_all = 0
+            best_prediction_test_all = 0
+            best_prediction_test_root = 0
+            early_stop = 0
+
+
+	    tic = time.time()
+
+	    for e in xrange(s['nepochs']):
+
+		#if e >= 1:
+		#    s['lr'] = 0.8 * s['lr']
+
+                if early_stop == 5:
+                    break
+
+
+		# shuffle
+		shuffle([train_data], s['seed'])
+		
+		for i in range(n_train):
+		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
+		   
+		#pickle.dump(rnn, open("model" + str(e) + ".pkl",'wb'))		 	        
+     
+	        # Dev:
+	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
+                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
+	        for ii in range(n_dev):
+	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
+	            for j in range(len(pred)):
+	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
+                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
+
+
+		# Test:
+		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(n_test):
+		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
+		    for j in range(len(pred)):
+		        counts_test[pred[j], test_data[i][2][j]] += 1
+                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
+		
+		# Train
+		counts = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(len(train_data)):
+		    
+		    if i % 20 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
+		    	pred  = rnn.classify(train_data[i][0],train_data[i][1], train_data[i][3])
+		    	for j in range(len(pred)):
+		    	    counts[pred[j], train_data[i][2][j]] += 1
+                   	counts_root[pred[-1], train_data[i][2][-1]] += 1
+
+		print("epoch: ", e,
+		      "V all: ", "%0.2f" % (100 * np.diag(counts_dev).sum()/float(counts_dev.sum())), 
+		      "   Test all: ", "%0.2f" % (100 * np.diag(counts_test).sum()/float(counts_test.sum())), 
+                      "V root: ", "%0.2f" % (100 * np.diag(counts_dev_root).sum()/float(counts_dev_root.sum())), 
+		      "   Test root: ", "%0.2f" % (100 * np.diag(counts_test_root).sum()/float(counts_test_root.sum())), 
+		      "   Train: ", "%0.2f" % (100 * np.diag(counts).sum()/float(counts.sum())), 
+		      "   Train root: ", "%0.2f" % (100 * np.diag(counts_root).sum()/float(counts_root.sum()))  ,
+			 "   time: ", time.time()-tic
+		     )
+
+	     
+	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
+                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
+		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
+		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
+
+                    early_stop = 0
+                else:
+                    early_stop = early_stop + 1
+
+
+	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
+
+
+
+
+    	    np.random.seed(s['seed'])
+	    random.seed(s['seed'])
+    
+
+	    #s['lr'] = lr
+
+    	    rnn = LSTM_2_1(   h_dim,
+             	            nc = s['nc'],
+                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
+               	            max_phrase_length = 60,
+			    l = 0.004 )
 	
        
 	    train_data = load_stanford_data4("data/sst/train/dlabels.txt", "data/sst/train/dparents.txt","data/sst/train/sents.toks",rnn.words2ids,True,batch_size,s['nc'])
@@ -83,8 +631,8 @@ if __name__ == '__main__':
 	    n_test = len(test_data)
 
 	    print ""
-	    print "learning rate: ", s['lr']
-	    print "model LSTM_1 : " , "h_dim = ", h_dim
+	    print "learning rate: ", s['lr']#, " decay = ", 0.8
+	    print "model LSTM_2_1 : " , "h_dim = ", h_dim
 	    print ""
 
             best_prediction_valid_all = 0
@@ -110,7 +658,144 @@ if __name__ == '__main__':
 		for i in range(n_train):
 		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
 		   
-		pickle.dump(rnn, open("model" + str(e) + ".pkl",'wb'))		 	        
+		#pickle.dump(rnn, open("model" + str(e) + ".pkl",'wb'))		 	        
+     
+	        # Dev:
+	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
+                counts_dev_root = np.zeros((s['nc'],s['nc']),dtype='int')
+	        for ii in range(n_dev):
+	            pred = rnn.classify(dev_data[ii][0],dev_data[ii][1], dev_data[ii][3])
+	            for j in range(len(pred)):
+	                counts_dev[pred[j], dev_data[ii][2][j]] += 1
+                    counts_dev_root[pred[-1], dev_data[ii][2][-1]] += 1
+
+
+		# Test:
+		counts_test = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_test_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(n_test):
+		    pred = rnn.classify(test_data[i][0],test_data[i][1], test_data[i][3])
+		    for j in range(len(pred)):
+		        counts_test[pred[j], test_data[i][2][j]] += 1
+                    counts_test_root[pred[-1], test_data[i][2][-1]] += 1
+		
+		# Train
+		counts = np.zeros((s['nc'],s['nc']),dtype='int')
+		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
+		for i in range(len(train_data)):
+		    
+		    if i % 20 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
+		    	pred  = rnn.classify(train_data[i][0],train_data[i][1], train_data[i][3])
+		    	for j in range(len(pred)):
+		    	    counts[pred[j], train_data[i][2][j]] += 1
+                   	counts_root[pred[-1], train_data[i][2][-1]] += 1
+
+		print("epoch: ", e,
+		      "V all: ", "%0.2f" % (100 * np.diag(counts_dev).sum()/float(counts_dev.sum())), 
+		      "   Test all: ", "%0.2f" % (100 * np.diag(counts_test).sum()/float(counts_test.sum())), 
+                      "V root: ", "%0.2f" % (100 * np.diag(counts_dev_root).sum()/float(counts_dev_root.sum())), 
+		      "   Test root: ", "%0.2f" % (100 * np.diag(counts_test_root).sum()/float(counts_test_root.sum())), 
+		      "   Train: ", "%0.2f" % (100 * np.diag(counts).sum()/float(counts.sum())), 
+		      "   Train root: ", "%0.2f" % (100 * np.diag(counts_root).sum()/float(counts_root.sum()))  ,
+			 "   time: ", time.time()-tic
+		     )
+
+	     
+	        if np.diag(counts_dev).sum()/float(counts_dev.sum()) > best_prediction_valid_all:
+                    best_prediction_valid_all = np.diag(counts_dev).sum()/float(counts_dev.sum())
+		    best_prediction_test_all = np.diag(counts_test).sum()/float(counts_test.sum())
+		    best_prediction_test_root = np.diag(counts_test_root).sum()/float(counts_test_root.sum())
+
+                    early_stop = 0
+                else:
+                    early_stop = early_stop + 1
+
+
+	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+    	    np.random.seed(s['seed'])
+	    random.seed(s['seed'])
+    
+
+	    1/0
+
+	    s['lr'] = 0.004
+
+    	    rnn = LSTM_6(   h_dim,
+             	            nc = s['nc'],
+                	    w2v_model_path = file_with_filtered_embeddings, #sciezka do pliku z embeddingami 
+               	            max_phrase_length = 60 )
+	
+       
+	    train_data = load_stanford_data4("data/sst/train/dlabels.txt", "data/sst/train/dparents.txt","data/sst/train/sents.toks",rnn.words2ids,True,batch_size,s['nc'])
+	    dev_data = load_stanford_data4("data/sst/dev/dlabels.txt", "data/sst/dev/dparents.txt","data/sst/dev/sents.toks",rnn.words2ids,False,0,s['nc'])
+	    test_data = load_stanford_data4("data/sst/test/dlabels.txt", "data/sst/test/dparents.txt","data/sst/test/sents.toks",rnn.words2ids,False,0,s['nc'])
+
+	    n_train = len(train_data)
+	    n_dev = len(dev_data)
+	    n_test = len(test_data)
+
+	    print ""
+	    print "learning rate: ", s['lr'], " decay = ", 0.75
+	    print "model LSTM_6 : " , "h_dim = ", h_dim
+	    print ""
+
+            best_prediction_valid_all = 0
+            best_prediction_test_all = 0
+            best_prediction_test_root = 0
+            early_stop = 0
+
+
+	    tic = time.time()
+
+	    for e in xrange(s['nepochs']):
+
+		if e >= 1:
+		    s['lr'] = 0.75 * s['lr']
+
+                if early_stop == 5:
+                    break
+
+
+		# shuffle
+		shuffle([train_data], s['seed'])
+		
+		for i in range(n_train):
+		    rnn.train(train_data[i][0],train_data[i][1], train_data[i][2], train_data[i][3], s['lr'])
+		   
+		#pickle.dump(rnn, open("model" + str(e) + ".pkl",'wb'))		 	        
      
 	        # Dev:
 	        counts_dev = np.zeros((s['nc'],s['nc']),dtype='int')
@@ -136,7 +821,7 @@ if __name__ == '__main__':
 		counts_root = np.zeros((s['nc'],s['nc']),dtype='int')
 		for i in range(len(train_data)):
 		    
-		    if i % 5 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
+		    if i % 20 == 0: #sprawdzamy dopasowanie na 1/100 zbioru zeby oszczedzic czas
 		    	pred  = rnn.classify(train_data[i][0],train_data[i][1], train_data[i][3])
 		    	for j in range(len(pred)):
 		    	    counts[pred[j], train_data[i][2][j]] += 1
@@ -148,7 +833,8 @@ if __name__ == '__main__':
                       "V root: ", "%0.2f" % (100 * np.diag(counts_dev_root).sum()/float(counts_dev_root.sum())), 
 		      "   Test root: ", "%0.2f" % (100 * np.diag(counts_test_root).sum()/float(counts_test_root.sum())), 
 		      "   Train: ", "%0.2f" % (100 * np.diag(counts).sum()/float(counts.sum())), 
-		      "   Train root: ", "%0.2f" % (100 * np.diag(counts_root).sum()/float(counts_root.sum()))  
+		      "   Train root: ", "%0.2f" % (100 * np.diag(counts_root).sum()/float(counts_root.sum()))  ,
+			 "   time: ", time.time()-tic
 		     )
 
 	     
@@ -164,3 +850,6 @@ if __name__ == '__main__':
 
 	    print("Best valid: ", "%0.2f" % (100 * best_prediction_valid_all)," Test all: ","%0.2f" % (100 * best_prediction_test_all),"Test root: ","%0.2f" % (100 * best_prediction_test_root), "   time: ", time.time()-tic)
 
+
+
+
diff --git a/modules/rnn/LSTM_models.py b/modules/rnn/LSTM_models.py
index 9f85e2a..68924c9 100644
--- a/modules/rnn/LSTM_models.py
+++ b/modules/rnn/LSTM_models.py
@@ -14,7 +14,9 @@ from theano import pp
 
 import theano.tensor as T
 import theano
-from theano.sandbox.rng_mrg import MRG_RandomStreams #as MRG_RandomStreams 
+#from theano.sandbox.rng_mrg import MRG_RandomStreams #as MRG_RandomStreams 
+
+from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams
 
 import itertools
 
@@ -212,3 +214,2838 @@ class LSTM_1(object):
                                      )
 
 
+
+class LSTM_1_2(object):  
+    def __init__(self, h_dim, nc, w2v_model_path, max_phrase_length): 
+
+        '''
+
+	Zmiany w stosunku do LSTM_1:
+	- funkcja kosztu zamiast sumy ma srednia
+
+        nh :: dimension of hidden state
+        nc :: number of classes
+        '''
+
+        self.max_phrase_length = max_phrase_length
+        w2vecs = pickle.load(open(w2v_model_path,"r"))
+        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
+        self.words2ids = w2vecs["words2ids"]
+
+        emb_dim = w2vecs["vectors"].shape[1]
+        del w2vecs
+
+        r = 0.05
+
+	self.W_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_i = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_f = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_o = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_u = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+        self.W_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, nc)).astype(theano.config.floatX))
+        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
+
+    
+        def one_step(word_id, word_children_positions, y_true, k, hidden_states, cell_states, learning_rate):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h)
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]
+	    
+            cross_entropy = -T.log(y_prob[y_true])						       # + norm_coefficient * l2_norm
+                                 
+            return cross_entropy, hidden_states_new, cell_states_new  
+
+
+        y = T.vector('y',dtype=dataType)
+        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
+	words = T.vector(dtype=dataType)
+        children_positions = T.matrix(dtype=dataType)
+	words_indexes = T.vector(dtype=dataType)
+
+	[cross_entropy_vector, _, _] , _ = theano.scan(fn=one_step, \
+                                 sequences = [words, children_positions,y,words_indexes],
+				 outputs_info = [None, 
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))],
+                                 non_sequences = learning_rate,
+                                 n_steps = words.shape[0])
+	cost = T.mean(cross_entropy_vector)
+
+        updates = OrderedDict([
+			(self.W_i, self.W_i-learning_rate*T.grad(cost, self.W_i)),
+			(self.W_f, self.W_f-learning_rate*T.grad(cost, self.W_f)),
+			(self.W_o, self.W_o-learning_rate*T.grad(cost, self.W_o)),
+			(self.W_u, self.W_u-learning_rate*T.grad(cost, self.W_u)),
+			(self.W_y, self.W_y-learning_rate*T.grad(cost, self.W_y)),
+			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
+                        (self.b_i, self.b_i-learning_rate*T.grad(cost,self.b_i)),
+                        (self.b_f, self.b_f-learning_rate*T.grad(cost,self.b_f)),
+                        (self.b_o, self.b_o-learning_rate*T.grad(cost,self.b_o)),
+                        (self.b_u, self.b_u-learning_rate*T.grad(cost,self.b_u)),
+                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
+			])
+
+	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
+                                      outputs = [],
+                                      updates = updates,
+                                      allow_input_downcast=True,
+                                      mode='FAST_RUN'
+                                      )
+
+ 
+        def one_step_classify(word_id, word_children_positions, k, hidden_states, cell_states):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h)
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]             
+
+            return  y_prob, hidden_states_new, cell_states_new
+        
+
+	[y_probs_classify, _, _ ], _ = theano.scan(
+				 fn=one_step_classify, 
+                                 sequences = [words, children_positions, words_indexes],
+				 outputs_info = [None,
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))])
+	
+	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
+                                     sequences = [words_indexes])
+
+        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
+                                     outputs=predictions,
+                                     allow_input_downcast=True,
+                                     mode='FAST_RUN' 
+                                     )
+
+
+
+class LSTM_1_3(object):  
+    def __init__(self, h_dim, nc, w2v_model_path, max_phrase_length, dropout_rate, srng): 
+
+        '''
+
+	Zmiany w stosunku do LSTM_1:
+	- funkcja kosztu zamiast sumy ma srednia
+	- dropout - zerujemy czesc wspolrzednych stanu ukrytego h
+
+
+        nh :: dimension of hidden state
+        nc :: number of classes
+        '''
+
+        self.max_phrase_length = max_phrase_length
+        w2vecs = pickle.load(open(w2v_model_path,"r"))
+        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
+        self.words2ids = w2vecs["words2ids"]
+
+        emb_dim = w2vecs["vectors"].shape[1]
+        del w2vecs
+
+        r = 0.05
+
+	self.W_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_i = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_f = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_o = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_u = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+        self.W_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, nc)).astype(theano.config.floatX))
+        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
+
+    	self.srng = srng
+	self.dropout_rate = dropout_rate
+
+        def one_step(word_id, word_children_positions, y_true, k, hidden_states, cell_states, learning_rate):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+	    #dropout:
+	    mask = self.srng.binomial(n=1, p=1-self.dropout_rate, size=(h_dim,), dtype='floatX')
+	    h = h * mask
+
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h)
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]
+	    
+            cross_entropy = -T.log(y_prob[y_true])						       # + norm_coefficient * l2_norm
+                                 
+            return cross_entropy, hidden_states_new, cell_states_new  
+
+
+        y = T.vector('y',dtype=dataType)
+        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
+	words = T.vector(dtype=dataType)
+        children_positions = T.matrix(dtype=dataType)
+	words_indexes = T.vector(dtype=dataType)
+
+	[cross_entropy_vector, _, _] , _ = theano.scan(fn=one_step, \
+                                 sequences = [words, children_positions,y,words_indexes],
+				 outputs_info = [None, 
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))],
+                                 non_sequences = learning_rate,
+                                 n_steps = words.shape[0])
+	cost = T.mean(cross_entropy_vector)
+
+        updates = OrderedDict([
+			(self.W_i, self.W_i-learning_rate*T.grad(cost, self.W_i)),
+			(self.W_f, self.W_f-learning_rate*T.grad(cost, self.W_f)),
+			(self.W_o, self.W_o-learning_rate*T.grad(cost, self.W_o)),
+			(self.W_u, self.W_u-learning_rate*T.grad(cost, self.W_u)),
+			(self.W_y, self.W_y-learning_rate*T.grad(cost, self.W_y)),
+			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #SPROBOWAC TU 0.1 ZAMIAST LR, A DLA POLSKICH BEZ AKTUALIZACJI EMB
+                        (self.b_i, self.b_i-learning_rate*T.grad(cost,self.b_i)),
+                        (self.b_f, self.b_f-learning_rate*T.grad(cost,self.b_f)),
+                        (self.b_o, self.b_o-learning_rate*T.grad(cost,self.b_o)),
+                        (self.b_u, self.b_u-learning_rate*T.grad(cost,self.b_u)),
+                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
+			])
+
+	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
+                                      outputs = [],
+                                      updates = updates,
+                                      allow_input_downcast=True,
+                                      mode='FAST_RUN'
+                                      )
+
+ 
+        def one_step_classify(word_id, word_children_positions, k, hidden_states, cell_states):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+	    # podczas uczenia zerowalismy 1-dropout_rate procent wspolrzednych, wiec trzeba to 
+	    h = h * self.dropout_rate
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h)
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]             
+
+            return  y_prob, hidden_states_new, cell_states_new
+        
+
+	[y_probs_classify, _, _ ], _ = theano.scan(
+				 fn=one_step_classify, 
+                                 sequences = [words, children_positions, words_indexes],
+				 outputs_info = [None,
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))])
+	
+	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
+                                     sequences = [words_indexes])
+
+        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
+                                     outputs=predictions,
+                                     allow_input_downcast=True,
+                                     mode='FAST_RUN' 
+                                     )
+
+
+class LSTM_1_4(object):  
+    def __init__(self, h_dim, nc, w2v_model_path, max_phrase_length, dropout_rate, l, srng): 
+
+        '''
+
+	Zmiany w stosunku do LSTM_1:
+	- funkcja kosztu zamiast sumy ma srednia
+	- dropout - zerujemy czesc wspolrzednych stanu ukrytego h
+	- dodana regularyzacja l2
+
+
+        nh :: dimension of hidden state
+        nc :: number of classes
+        '''
+
+        self.max_phrase_length = max_phrase_length
+        w2vecs = pickle.load(open(w2v_model_path,"r"))
+        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
+        self.words2ids = w2vecs["words2ids"]
+
+        emb_dim = w2vecs["vectors"].shape[1]
+        del w2vecs
+
+        r = 0.05
+
+	self.W_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_i = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_f = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_o = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_u = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+        self.W_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, nc)).astype(theano.config.floatX))
+        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
+
+    	self.srng = srng
+	self.dropout_rate = dropout_rate
+	self.l = l
+
+        def one_step(word_id, word_children_positions, y_true, k, hidden_states, cell_states, learning_rate):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+	    #dropout:
+	    mask = self.srng.binomial(n=1, p=1-self.dropout_rate, size=(h_dim,), dtype='floatX')
+	    h = h * mask
+
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h)
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]
+	    
+            cross_entropy = -T.log(y_prob[y_true])						       # + norm_coefficient * l2_norm
+                                 
+            return cross_entropy, hidden_states_new, cell_states_new  
+
+
+        y = T.vector('y',dtype=dataType)
+        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
+	words = T.vector(dtype=dataType)
+        children_positions = T.matrix(dtype=dataType)
+	words_indexes = T.vector(dtype=dataType)
+
+	[cross_entropy_vector, _, _] , _ = theano.scan(fn=one_step, \
+                                 sequences = [words, children_positions,y,words_indexes],
+				 outputs_info = [None, 
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))],
+                                 non_sequences = learning_rate,
+                                 n_steps = words.shape[0])
+
+	cost = T.mean(cross_entropy_vector) + 0.5 * self.l * ((self.W_i**2).sum()+(self.W_f**2).sum()+(self.W_o**2).sum()+(self.W_u**2).sum()+(self.W_y**2).sum())
+
+        updates = OrderedDict([
+			(self.W_i, self.W_i-learning_rate*T.grad(cost, self.W_i)),
+			(self.W_f, self.W_f-learning_rate*T.grad(cost, self.W_f)),
+			(self.W_o, self.W_o-learning_rate*T.grad(cost, self.W_o)),
+			(self.W_u, self.W_u-learning_rate*T.grad(cost, self.W_u)),
+			(self.W_y, self.W_y-learning_rate*T.grad(cost, self.W_y)),
+			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #SPROBOWAC TU 0.1 ZAMIAST LR, A DLA POLSKICH BEZ AKTUALIZACJI EMB
+                        (self.b_i, self.b_i-learning_rate*T.grad(cost,self.b_i)),
+                        (self.b_f, self.b_f-learning_rate*T.grad(cost,self.b_f)),
+                        (self.b_o, self.b_o-learning_rate*T.grad(cost,self.b_o)),
+                        (self.b_u, self.b_u-learning_rate*T.grad(cost,self.b_u)),
+                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
+			])
+
+	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
+                                      outputs = [],
+                                      updates = updates,
+                                      allow_input_downcast=True,
+                                      mode='FAST_RUN'
+                                      )
+
+ 
+        def one_step_classify(word_id, word_children_positions, k, hidden_states, cell_states):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+	    # podczas uczenia zerowalismy 1-dropout_rate procent wspolrzednych, wiec trzeba to 
+	    h = h * self.dropout_rate
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h)
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]             
+
+            return  y_prob, hidden_states_new, cell_states_new
+        
+
+	[y_probs_classify, _, _ ], _ = theano.scan(
+				 fn=one_step_classify, 
+                                 sequences = [words, children_positions, words_indexes],
+				 outputs_info = [None,
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))])
+	
+	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
+                                     sequences = [words_indexes])
+
+        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
+                                     outputs=predictions,
+                                     allow_input_downcast=True,
+                                     mode='FAST_RUN' 
+                                     )
+
+
+
+class LSTM_1_5(object):  
+    def __init__(self, h_dim, nc, w2v_model_path, max_phrase_length, dropout_rate, l, srng): 
+
+        '''
+
+	Zmiany w stosunku do LSTM_1:
+	- funkcja kosztu zamiast sumy ma srednia
+	- dropout - zerujemy czesc wspolrzednych stanu ukrytego h
+	- dodana regularyzacja l1 (tym sie rozni od 1_4 - tam bylo l2)
+
+
+        nh :: dimension of hidden state
+        nc :: number of classes
+        '''
+
+        self.max_phrase_length = max_phrase_length
+        w2vecs = pickle.load(open(w2v_model_path,"r"))
+        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
+        self.words2ids = w2vecs["words2ids"]
+
+        emb_dim = w2vecs["vectors"].shape[1]
+        del w2vecs
+
+        r = 0.05
+
+	self.W_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_i = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_f = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_o = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_u = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+        self.W_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, nc)).astype(theano.config.floatX))
+        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
+
+    	self.srng = srng
+	self.dropout_rate = dropout_rate
+	self.l = l
+
+        def one_step(word_id, word_children_positions, y_true, k, hidden_states, cell_states, learning_rate):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+	    #dropout:
+	    mask = self.srng.binomial(n=1, p=1-self.dropout_rate, size=(h_dim,), dtype='floatX')
+	    h = h * mask
+
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h)
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]
+	    
+            cross_entropy = -T.log(y_prob[y_true])						       # + norm_coefficient * l2_norm
+                                 
+            return cross_entropy, hidden_states_new, cell_states_new  
+
+
+        y = T.vector('y',dtype=dataType)
+        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
+	words = T.vector(dtype=dataType)
+        children_positions = T.matrix(dtype=dataType)
+	words_indexes = T.vector(dtype=dataType)
+
+	[cross_entropy_vector, _, _] , _ = theano.scan(fn=one_step, \
+                                 sequences = [words, children_positions,y,words_indexes],
+				 outputs_info = [None, 
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))],
+                                 non_sequences = learning_rate,
+                                 n_steps = words.shape[0])
+
+	cost = T.mean(cross_entropy_vector) + self.l * ((T.abs_(self.W_i)).sum()+(T.abs_(self.W_f)).sum()+(T.abs_(self.W_o)).sum()+(T.abs_(self.W_u)).sum()+(T.abs_(self.W_y)).sum())
+
+        updates = OrderedDict([
+			(self.W_i, self.W_i-learning_rate*T.grad(cost, self.W_i)),
+			(self.W_f, self.W_f-learning_rate*T.grad(cost, self.W_f)),
+			(self.W_o, self.W_o-learning_rate*T.grad(cost, self.W_o)),
+			(self.W_u, self.W_u-learning_rate*T.grad(cost, self.W_u)),
+			(self.W_y, self.W_y-learning_rate*T.grad(cost, self.W_y)),
+			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #SPROBOWAC TU 0.1 ZAMIAST LR, A DLA POLSKICH BEZ AKTUALIZACJI EMB
+                        (self.b_i, self.b_i-learning_rate*T.grad(cost,self.b_i)),
+                        (self.b_f, self.b_f-learning_rate*T.grad(cost,self.b_f)),
+                        (self.b_o, self.b_o-learning_rate*T.grad(cost,self.b_o)),
+                        (self.b_u, self.b_u-learning_rate*T.grad(cost,self.b_u)),
+                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
+			])
+
+	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
+                                      outputs = [],
+                                      updates = updates,
+                                      allow_input_downcast=True,
+                                      mode='FAST_RUN'
+                                      )
+
+ 
+        def one_step_classify(word_id, word_children_positions, k, hidden_states, cell_states):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+	    # podczas uczenia zerowalismy 1-dropout_rate procent wspolrzednych, wiec trzeba to 
+	    h = h * self.dropout_rate
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h)
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]             
+
+            return  y_prob, hidden_states_new, cell_states_new
+        
+
+	[y_probs_classify, _, _ ], _ = theano.scan(
+				 fn=one_step_classify, 
+                                 sequences = [words, children_positions, words_indexes],
+				 outputs_info = [None,
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))])
+	
+	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
+                                     sequences = [words_indexes])
+
+        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
+                                     outputs=predictions,
+                                     allow_input_downcast=True,
+                                     mode='FAST_RUN' 
+                                     )
+
+
+
+
+class LSTM_2(object):  
+    def __init__(self, h_dim, nc, w2v_model_path, max_phrase_length): 
+
+        '''
+        nh :: dimension of hidden state
+        nc :: number of classes
+        '''
+
+        self.max_phrase_length = max_phrase_length
+        w2vecs = pickle.load(open(w2v_model_path,"r"))
+        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
+        self.words2ids = w2vecs["words2ids"]
+
+        emb_dim = w2vecs["vectors"].shape[1]
+	num_emb = w2vecs["vectors"].shape[0]
+        del w2vecs
+
+        r = 0.05
+
+	self.W_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_i = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_f = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_o = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_u = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+        self.W_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, nc)).astype(theano.config.floatX))
+        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
+
+
+	self.emb_accu_grad_l2_norm = theano.shared(np.zeros((num_emb, emb_dim) ).astype(theano.config.floatX))
+
+	self.W_i_accu_grad_l2_norm = theano.shared(np.zeros((emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_i_accu_grad_l2_norm = theano.shared(np.zeros( (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_i_accu_grad_l2_norm = theano.shared(np.zeros( h_dim ).astype(theano.config.floatX))
+
+	self.W_f_accu_grad_l2_norm = theano.shared(np.zeros( (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_f_accu_grad_l2_norm = theano.shared(np.zeros( (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_f_accu_grad_l2_norm = theano.shared(np.zeros( h_dim ).astype(theano.config.floatX))
+
+	self.W_o_accu_grad_l2_norm = theano.shared(np.zeros( (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_o_accu_grad_l2_norm = theano.shared(np.zeros( (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_o_accu_grad_l2_norm = theano.shared(np.zeros( h_dim ).astype(theano.config.floatX))
+
+	self.W_u_accu_grad_l2_norm = theano.shared(np.zeros( (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_u_accu_grad_l2_norm = theano.shared(np.zeros( (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_u_accu_grad_l2_norm = theano.shared(np.zeros( h_dim ).astype(theano.config.floatX))
+
+        self.W_y_accu_grad_l2_norm   = theano.shared(np.zeros( (h_dim, nc)).astype(theano.config.floatX))
+        self.b_y_accu_grad_l2_norm   = theano.shared(np.zeros( nc).astype(theano.config.floatX))
+
+	
+	self.epsilon = 1e-6
+
+    
+        def one_step(word_id, word_children_positions, y_true, k, hidden_states, cell_states, learning_rate):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h)
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]
+	    
+            cross_entropy = -T.log(y_prob[y_true])						       # + norm_coefficient * l2_norm
+                                 
+            return cross_entropy, hidden_states_new, cell_states_new  
+
+
+        y = T.vector('y',dtype=dataType)
+        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
+	words = T.vector(dtype=dataType)
+        children_positions = T.matrix(dtype=dataType)
+	words_indexes = T.vector(dtype=dataType)
+
+	[cross_entropy_vector, _, _] , _ = theano.scan(fn=one_step, \
+                                 sequences = [words, children_positions,y,words_indexes],
+				 outputs_info = [None, 
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))],
+                                 non_sequences = learning_rate,
+                                 n_steps = words.shape[0])
+	cost = T.sum(cross_entropy_vector)
+
+
+
+
+        updates = OrderedDict([
+			(self.W_i, self.W_i-learning_rate*T.grad(cost, self.W_i) / T.sqrt(self.W_i_accu_grad_l2_norm + self.epsilon)),
+			(self.W_f, self.W_f-learning_rate*T.grad(cost, self.W_f) / T.sqrt(self.W_f_accu_grad_l2_norm + self.epsilon)),
+			(self.W_o, self.W_o-learning_rate*T.grad(cost, self.W_o) / T.sqrt(self.W_o_accu_grad_l2_norm + self.epsilon)),
+			(self.W_u, self.W_u-learning_rate*T.grad(cost, self.W_u) / T.sqrt(self.W_u_accu_grad_l2_norm + self.epsilon)),
+			(self.W_y, self.W_y-learning_rate*T.grad(cost, self.W_y) / T.sqrt(self.W_y_accu_grad_l2_norm + self.epsilon)),
+			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb) / T.sqrt(self.emb_accu_grad_l2_norm + self.epsilon)), #updated_current_emb), #
+                        (self.b_i, self.b_i-learning_rate*T.grad(cost,self.b_i) / T.sqrt(self.b_i_accu_grad_l2_norm + self.epsilon)),
+                        (self.b_f, self.b_f-learning_rate*T.grad(cost,self.b_f) / T.sqrt(self.b_f_accu_grad_l2_norm + self.epsilon)),
+                        (self.b_o, self.b_o-learning_rate*T.grad(cost,self.b_o) / T.sqrt(self.b_o_accu_grad_l2_norm + self.epsilon)),
+                        (self.b_u, self.b_u-learning_rate*T.grad(cost,self.b_u) / T.sqrt(self.b_u_accu_grad_l2_norm + self.epsilon)),
+                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y) / T.sqrt(self.b_y_accu_grad_l2_norm + self.epsilon))
+			,
+			(self.W_i_accu_grad_l2_norm, T.grad(cost, self.W_i)**2),
+			(self.W_f_accu_grad_l2_norm, T.grad(cost, self.W_f)**2),
+			(self.W_o_accu_grad_l2_norm, T.grad(cost, self.W_o)**2),
+			(self.W_u_accu_grad_l2_norm, T.grad(cost, self.W_u)**2),
+			(self.W_y_accu_grad_l2_norm, T.grad(cost, self.W_y)**2),
+			(self.emb_accu_grad_l2_norm, T.grad(cost, self.emb)**2), #updated_current_emb), #
+		        (self.b_i_accu_grad_l2_norm, T.grad(cost,self.b_i)**2),
+		        (self.b_f_accu_grad_l2_norm, T.grad(cost,self.b_f)**2),
+		        (self.b_o_accu_grad_l2_norm, T.grad(cost,self.b_o)**2),
+        		(self.b_u_accu_grad_l2_norm, T.grad(cost,self.b_u)**2),
+		        (self.b_y_accu_grad_l2_norm, T.grad(cost,self.b_y)**2)
+			])
+
+	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
+                                      outputs = [],
+                                      updates = updates,
+                                      allow_input_downcast=True,
+                                      mode='FAST_RUN'
+                                      )
+
+ 
+        def one_step_classify(word_id, word_children_positions, k, hidden_states, cell_states):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h)
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]             
+
+            return  y_prob, hidden_states_new, cell_states_new
+        
+
+	[y_probs_classify, _, _ ], _ = theano.scan(
+				 fn=one_step_classify, 
+                                 sequences = [words, children_positions, words_indexes],
+				 outputs_info = [None,
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))])
+	
+	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
+                                     sequences = [words_indexes])
+
+        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
+                                     outputs=predictions,
+                                     allow_input_downcast=True,
+                                     mode='FAST_RUN' 
+                                     )
+
+
+
+
+class LSTM_2_1(object):  
+    def __init__(self, h_dim, nc, w2v_model_path, max_phrase_length, l): 
+
+        '''
+        nh :: dimension of hidden state
+        nc :: number of classes
+        '''
+
+        self.max_phrase_length = max_phrase_length
+        w2vecs = pickle.load(open(w2v_model_path,"r"))
+        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
+        self.words2ids = w2vecs["words2ids"]
+
+        emb_dim = w2vecs["vectors"].shape[1]
+	num_emb = w2vecs["vectors"].shape[0]
+        del w2vecs
+
+        r = 0.05
+
+	self.W_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_i = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_f = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_o = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_u = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+        self.W_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, nc)).astype(theano.config.floatX))
+        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
+
+
+	self.emb_accu_grad_l2_norm = theano.shared(np.zeros((num_emb, emb_dim) ).astype(theano.config.floatX))
+
+	self.W_i_accu_grad_l2_norm = theano.shared(np.zeros((emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_i_accu_grad_l2_norm = theano.shared(np.zeros( (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_i_accu_grad_l2_norm = theano.shared(np.zeros( h_dim ).astype(theano.config.floatX))
+
+	self.W_f_accu_grad_l2_norm = theano.shared(np.zeros( (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_f_accu_grad_l2_norm = theano.shared(np.zeros( (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_f_accu_grad_l2_norm = theano.shared(np.zeros( h_dim ).astype(theano.config.floatX))
+
+	self.W_o_accu_grad_l2_norm = theano.shared(np.zeros( (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_o_accu_grad_l2_norm = theano.shared(np.zeros( (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_o_accu_grad_l2_norm = theano.shared(np.zeros( h_dim ).astype(theano.config.floatX))
+
+	self.W_u_accu_grad_l2_norm = theano.shared(np.zeros( (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_u_accu_grad_l2_norm = theano.shared(np.zeros( (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_u_accu_grad_l2_norm = theano.shared(np.zeros( h_dim ).astype(theano.config.floatX))
+
+        self.W_y_accu_grad_l2_norm   = theano.shared(np.zeros( (h_dim, nc)).astype(theano.config.floatX))
+        self.b_y_accu_grad_l2_norm   = theano.shared(np.zeros( nc).astype(theano.config.floatX))
+
+	
+	self.epsilon = 1e-7
+	self.norm_coef = l
+    
+        def one_step(word_id, word_children_positions, y_true, k, hidden_states, cell_states, learning_rate):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h)
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]
+	    
+
+	    l2_norm =  (self.W_i**2).sum() + (self.W_o**2).sum() + (self.W_f**2).sum() + (self.W_y**2).sum()
+
+            cross_entropy = -T.log(y_prob[y_true]) + self.norm_coef * l2_norm
+                                 
+            return cross_entropy, hidden_states_new, cell_states_new  
+
+
+        y = T.vector('y',dtype=dataType)
+        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
+	words = T.vector(dtype=dataType)
+        children_positions = T.matrix(dtype=dataType)
+	words_indexes = T.vector(dtype=dataType)
+
+	[cross_entropy_vector, _, _] , _ = theano.scan(fn=one_step, \
+                                 sequences = [words, children_positions,y,words_indexes],
+				 outputs_info = [None, 
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))],
+                                 non_sequences = learning_rate,
+                                 n_steps = words.shape[0])
+	cost = T.sum(cross_entropy_vector)
+
+
+
+
+        updates = OrderedDict([
+			(self.W_i, self.W_i-learning_rate*T.grad(cost, self.W_i) / T.sqrt(self.W_i_accu_grad_l2_norm + self.epsilon)),
+			(self.W_f, self.W_f-learning_rate*T.grad(cost, self.W_f) / T.sqrt(self.W_f_accu_grad_l2_norm + self.epsilon)),
+			(self.W_o, self.W_o-learning_rate*T.grad(cost, self.W_o) / T.sqrt(self.W_o_accu_grad_l2_norm + self.epsilon)),
+			(self.W_u, self.W_u-learning_rate*T.grad(cost, self.W_u) / T.sqrt(self.W_u_accu_grad_l2_norm + self.epsilon)),
+			(self.W_y, self.W_y-learning_rate*T.grad(cost, self.W_y) / T.sqrt(self.W_y_accu_grad_l2_norm + self.epsilon)),
+			(self.emb, self.emb-2*learning_rate*T.grad(cost, self.emb) / T.sqrt(self.emb_accu_grad_l2_norm + self.epsilon)), #updated_current_emb), #
+                        (self.b_i, self.b_i-learning_rate*T.grad(cost,self.b_i) / T.sqrt(self.b_i_accu_grad_l2_norm + self.epsilon)),
+                        (self.b_f, self.b_f-learning_rate*T.grad(cost,self.b_f) / T.sqrt(self.b_f_accu_grad_l2_norm + self.epsilon)),
+                        (self.b_o, self.b_o-learning_rate*T.grad(cost,self.b_o) / T.sqrt(self.b_o_accu_grad_l2_norm + self.epsilon)),
+                        (self.b_u, self.b_u-learning_rate*T.grad(cost,self.b_u) / T.sqrt(self.b_u_accu_grad_l2_norm + self.epsilon)),
+                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y) / T.sqrt(self.b_y_accu_grad_l2_norm + self.epsilon))
+			,
+			(self.W_i_accu_grad_l2_norm, self.W_i_accu_grad_l2_norm + T.grad(cost, self.W_i)**2),
+			(self.W_f_accu_grad_l2_norm, self.W_f_accu_grad_l2_norm + T.grad(cost, self.W_f)**2),
+			(self.W_o_accu_grad_l2_norm, self.W_o_accu_grad_l2_norm + T.grad(cost, self.W_o)**2),
+			(self.W_u_accu_grad_l2_norm, self.W_u_accu_grad_l2_norm + T.grad(cost, self.W_u)**2),
+			(self.W_y_accu_grad_l2_norm, self.W_y_accu_grad_l2_norm + T.grad(cost, self.W_y)**2),
+			#(self.emb_accu_grad_l2_norm, T.grad(cost, self.emb)**2), #updated_current_emb), #
+		        (self.b_i_accu_grad_l2_norm, self.b_i_accu_grad_l2_norm + T.grad(cost,self.b_i)**2),
+		        (self.b_f_accu_grad_l2_norm, self.b_f_accu_grad_l2_norm + T.grad(cost,self.b_f)**2),
+		        (self.b_o_accu_grad_l2_norm, self.b_o_accu_grad_l2_norm + T.grad(cost,self.b_o)**2),
+        		(self.b_u_accu_grad_l2_norm, self.b_u_accu_grad_l2_norm + T.grad(cost,self.b_u)**2),
+		        (self.b_y_accu_grad_l2_norm, self.b_y_accu_grad_l2_norm + T.grad(cost,self.b_y)**2)
+			])
+
+	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
+                                      outputs = [],
+                                      updates = updates,
+                                      allow_input_downcast=True,
+                                      mode='FAST_RUN'
+                                      )
+
+ 
+        def one_step_classify(word_id, word_children_positions, k, hidden_states, cell_states):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h)
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]             
+
+            return  y_prob, hidden_states_new, cell_states_new
+        
+
+	[y_probs_classify, _, _ ], _ = theano.scan(
+				 fn=one_step_classify, 
+                                 sequences = [words, children_positions, words_indexes],
+				 outputs_info = [None,
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))])
+	
+	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
+                                     sequences = [words_indexes])
+
+        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
+                                     outputs=predictions,
+                                     allow_input_downcast=True,
+                                     mode='FAST_RUN' 
+                                     )
+
+
+
+
+
+class LSTM_3(object):  
+    def __init__(self, h_dim, nc, w2v_model_path, max_phrase_length): 
+
+        '''
+        nh :: dimension of hidden state
+        nc :: number of classes
+        '''
+
+        self.max_phrase_length = max_phrase_length
+        w2vecs = pickle.load(open(w2v_model_path,"r"))
+        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
+        self.words2ids = w2vecs["words2ids"]
+
+        emb_dim = w2vecs["vectors"].shape[1]
+        del w2vecs
+
+        r = 0.05
+
+	self.W_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_i = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_f = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_o = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_u = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+        self.W_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, nc)).astype(theano.config.floatX))
+        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
+
+	self.a_w = theano.shared(r * np.random.uniform(-1.0, 1.0, emb_dim).astype(theano.config.floatX))
+
+    
+        def one_step(word_id, word_children_positions, y_true, k, hidden_states, cell_states, learning_rate):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h * T.nnet.sigmoid(T.dot(x, self.a_w)))
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]
+	    
+            cross_entropy = -T.log(y_prob[y_true])						       # + norm_coefficient * l2_norm
+                                 
+            return cross_entropy, hidden_states_new, cell_states_new  
+
+
+        y = T.vector('y',dtype=dataType)
+        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
+	words = T.vector(dtype=dataType)
+        children_positions = T.matrix(dtype=dataType)
+	words_indexes = T.vector(dtype=dataType)
+
+	[cross_entropy_vector, _, _] , _ = theano.scan(fn=one_step, \
+                                 sequences = [words, children_positions,y,words_indexes],
+				 outputs_info = [None, 
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))],
+                                 non_sequences = learning_rate,
+                                 n_steps = words.shape[0])
+	cost = T.sum(cross_entropy_vector)
+
+        updates = OrderedDict([
+			(self.W_i, self.W_i-learning_rate*T.grad(cost, self.W_i)),
+			(self.W_f, self.W_f-learning_rate*T.grad(cost, self.W_f)),
+			(self.W_o, self.W_o-learning_rate*T.grad(cost, self.W_o)),
+			(self.W_u, self.W_u-learning_rate*T.grad(cost, self.W_u)),
+			(self.W_y, self.W_y-learning_rate*T.grad(cost, self.W_y)),
+			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
+                        (self.b_i, self.b_i-learning_rate*T.grad(cost,self.b_i)),
+                        (self.b_f, self.b_f-learning_rate*T.grad(cost,self.b_f)),
+                        (self.b_o, self.b_o-learning_rate*T.grad(cost,self.b_o)),
+                        (self.b_u, self.b_u-learning_rate*T.grad(cost,self.b_u)),
+                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y)),
+                        (self.a_w, self.a_w-learning_rate*T.grad(cost,self.a_w))
+			])
+
+	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
+                                      outputs = [],
+                                      updates = updates,
+                                      allow_input_downcast=True,
+                                      mode='FAST_RUN'
+                                      )
+
+ 
+        def one_step_classify(word_id, word_children_positions, k, hidden_states, cell_states):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h * T.nnet.sigmoid(T.dot(x, self.a_w)))
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]             
+
+            return  y_prob, hidden_states_new, cell_states_new
+        
+
+	[y_probs_classify, _, _ ], _ = theano.scan(
+				 fn=one_step_classify, 
+                                 sequences = [words, children_positions, words_indexes],
+				 outputs_info = [None,
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))])
+	
+	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
+                                     sequences = [words_indexes])
+
+        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
+                                     outputs=predictions,
+                                     allow_input_downcast=True,
+                                     mode='FAST_RUN' 
+                                     )
+
+
+
+
+class LSTM_3_1(object):  
+    def __init__(self, h_dim, nc, w2v_model_path, max_phrase_length): 
+
+        '''
+	roznie sie od LSTM_3 tym ze ma srednia w funkcji kosztu zamiast sumy
+
+        nh :: dimension of hidden state
+        nc :: number of classes
+        '''
+
+        self.max_phrase_length = max_phrase_length
+        w2vecs = pickle.load(open(w2v_model_path,"r"))
+        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
+        self.words2ids = w2vecs["words2ids"]
+
+        emb_dim = w2vecs["vectors"].shape[1]
+        del w2vecs
+
+        r = 0.05
+
+	self.W_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_i = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_f = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_o = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_u = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+        self.W_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, nc)).astype(theano.config.floatX))
+        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
+
+	self.a_w = theano.shared(r * np.random.uniform(-1.0, 1.0, emb_dim).astype(theano.config.floatX))
+
+    
+        def one_step(word_id, word_children_positions, y_true, k, hidden_states, cell_states, learning_rate):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h * T.nnet.sigmoid(T.dot(x, self.a_w)))
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]
+	    
+            cross_entropy = -T.log(y_prob[y_true])						       # + norm_coefficient * l2_norm
+                                 
+            return cross_entropy, hidden_states_new, cell_states_new  
+
+
+        y = T.vector('y',dtype=dataType)
+        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
+	words = T.vector(dtype=dataType)
+        children_positions = T.matrix(dtype=dataType)
+	words_indexes = T.vector(dtype=dataType)
+
+	[cross_entropy_vector, _, _] , _ = theano.scan(fn=one_step, \
+                                 sequences = [words, children_positions,y,words_indexes],
+				 outputs_info = [None, 
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))],
+                                 non_sequences = learning_rate,
+                                 n_steps = words.shape[0])
+	cost = T.mean(cross_entropy_vector)
+
+        updates = OrderedDict([
+			(self.W_i, self.W_i-learning_rate*T.grad(cost, self.W_i)),
+			(self.W_f, self.W_f-learning_rate*T.grad(cost, self.W_f)),
+			(self.W_o, self.W_o-learning_rate*T.grad(cost, self.W_o)),
+			(self.W_u, self.W_u-learning_rate*T.grad(cost, self.W_u)),
+			(self.W_y, self.W_y-learning_rate*T.grad(cost, self.W_y)),
+			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
+                        (self.b_i, self.b_i-learning_rate*T.grad(cost,self.b_i)),
+                        (self.b_f, self.b_f-learning_rate*T.grad(cost,self.b_f)),
+                        (self.b_o, self.b_o-learning_rate*T.grad(cost,self.b_o)),
+                        (self.b_u, self.b_u-learning_rate*T.grad(cost,self.b_u)),
+                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y)),
+                        (self.a_w, self.a_w-learning_rate*T.grad(cost,self.a_w))
+			])
+
+	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
+                                      outputs = [],
+                                      updates = updates,
+                                      allow_input_downcast=True,
+                                      mode='FAST_RUN'
+                                      )
+
+ 
+        def one_step_classify(word_id, word_children_positions, k, hidden_states, cell_states):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h * T.nnet.sigmoid(T.dot(x, self.a_w)))
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]             
+
+            return  y_prob, hidden_states_new, cell_states_new
+        
+
+	[y_probs_classify, _, _ ], _ = theano.scan(
+				 fn=one_step_classify, 
+                                 sequences = [words, children_positions, words_indexes],
+				 outputs_info = [None,
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))])
+	
+	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
+                                     sequences = [words_indexes])
+
+        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
+                                     outputs=predictions,
+                                     allow_input_downcast=True,
+                                     mode='FAST_RUN' 
+                                     )
+
+
+
+
+
+
+class LSTM_4(object):  
+    def __init__(self, h_dim, nc, w2v_model_path, max_phrase_length): 
+
+        '''
+        nh :: dimension of hidden state
+        nc :: number of classes
+        '''
+
+        self.max_phrase_length = max_phrase_length
+        w2vecs = pickle.load(open(w2v_model_path,"r"))
+        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
+        self.words2ids = w2vecs["words2ids"]
+
+        emb_dim = w2vecs["vectors"].shape[1]
+        del w2vecs
+
+        r = 0.05
+
+	self.W_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_i = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_f = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_o = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_u = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+        self.W_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, nc)).astype(theano.config.floatX))
+        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
+
+	self.a_w = theano.shared(r * np.random.uniform(-1.0, 1.0, emb_dim).astype(theano.config.floatX))
+
+    
+        def one_step(word_id, word_children_positions, y_true, k, hidden_states, cell_states, learning_rate):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h * T.nnet.hard_sigmoid(T.dot(x, self.a_w)))
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]
+	    
+            cross_entropy = -T.log(y_prob[y_true])						       # + norm_coefficient * l2_norm
+                                 
+            return cross_entropy, hidden_states_new, cell_states_new  
+
+
+        y = T.vector('y',dtype=dataType)
+        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
+	words = T.vector(dtype=dataType)
+        children_positions = T.matrix(dtype=dataType)
+	words_indexes = T.vector(dtype=dataType)
+
+	[cross_entropy_vector, _, _] , _ = theano.scan(fn=one_step, \
+                                 sequences = [words, children_positions,y,words_indexes],
+				 outputs_info = [None, 
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))],
+                                 non_sequences = learning_rate,
+                                 n_steps = words.shape[0])
+	cost = T.sum(cross_entropy_vector)
+
+        updates = OrderedDict([
+			(self.W_i, self.W_i-learning_rate*T.grad(cost, self.W_i)),
+			(self.W_f, self.W_f-learning_rate*T.grad(cost, self.W_f)),
+			(self.W_o, self.W_o-learning_rate*T.grad(cost, self.W_o)),
+			(self.W_u, self.W_u-learning_rate*T.grad(cost, self.W_u)),
+			(self.W_y, self.W_y-learning_rate*T.grad(cost, self.W_y)),
+			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
+                        (self.b_i, self.b_i-learning_rate*T.grad(cost,self.b_i)),
+                        (self.b_f, self.b_f-learning_rate*T.grad(cost,self.b_f)),
+                        (self.b_o, self.b_o-learning_rate*T.grad(cost,self.b_o)),
+                        (self.b_u, self.b_u-learning_rate*T.grad(cost,self.b_u)),
+                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y)),
+                        (self.a_w, self.a_w-learning_rate*T.grad(cost,self.a_w))
+			])
+
+	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
+                                      outputs = [],
+                                      updates = updates,
+                                      allow_input_downcast=True,
+                                      mode='FAST_RUN'
+                                      )
+
+ 
+        def one_step_classify(word_id, word_children_positions, k, hidden_states, cell_states):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h * T.nnet.hard_sigmoid(T.dot(x, self.a_w)))
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]             
+
+            return  y_prob, hidden_states_new, cell_states_new
+        
+
+	[y_probs_classify, _, _ ], _ = theano.scan(
+				 fn=one_step_classify, 
+                                 sequences = [words, children_positions, words_indexes],
+				 outputs_info = [None,
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))])
+	
+	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
+                                     sequences = [words_indexes])
+
+        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
+                                     outputs=predictions,
+                                     allow_input_downcast=True,
+                                     mode='FAST_RUN' 
+                                     )
+
+
+
+
+class LSTM_5(object):  
+    def __init__(self, h_dim, nc, w2v_model_path, max_phrase_length): 
+
+        '''
+        nh :: dimension of hidden state
+        nc :: number of classes
+        '''
+
+        self.max_phrase_length = max_phrase_length
+        w2vecs = pickle.load(open(w2v_model_path,"r"))
+        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
+        self.words2ids = w2vecs["words2ids"]
+
+        emb_dim = w2vecs["vectors"].shape[1]
+        del w2vecs
+
+        r = 0.05
+
+	self.W_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_i = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_f = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_o = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_u = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+        self.W_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, nc)).astype(theano.config.floatX))
+        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
+
+	self.a_w = theano.shared(r * np.random.uniform(-1.0, 1.0, emb_dim).astype(theano.config.floatX))
+
+    
+        def one_step(word_id, word_children_positions, y_true, k, hidden_states, cell_states, learning_rate):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h * T.nnet.hard_sigmoid(T.dot(x, self.a_w)))
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]
+	    
+            cross_entropy = -T.log(y_prob[y_true])						       # + norm_coefficient * l2_norm
+                                 
+            return cross_entropy, hidden_states_new, cell_states_new  
+
+
+        y = T.vector('y',dtype=dataType)
+        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
+	words = T.vector(dtype=dataType)
+        children_positions = T.matrix(dtype=dataType)
+	words_indexes = T.vector(dtype=dataType)
+
+	[cross_entropy_vector, _, _] , _ = theano.scan(fn=one_step, \
+                                 sequences = [words, children_positions,y,words_indexes],
+				 outputs_info = [None, 
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))],
+                                 non_sequences = learning_rate,
+                                 n_steps = words.shape[0])
+	cost = T.sum(cross_entropy_vector)
+
+        updates = OrderedDict([
+			(self.W_i, self.W_i-learning_rate*T.grad(cost, self.W_i)),
+			(self.W_f, self.W_f-learning_rate*T.grad(cost, self.W_f)),
+			(self.W_o, self.W_o-learning_rate*T.grad(cost, self.W_o)),
+			(self.W_u, self.W_u-learning_rate*T.grad(cost, self.W_u)),
+			(self.W_y, self.W_y-learning_rate*T.grad(cost, self.W_y)),
+			#(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
+                        (self.b_i, self.b_i-learning_rate*T.grad(cost,self.b_i)),
+                        (self.b_f, self.b_f-learning_rate*T.grad(cost,self.b_f)),
+                        (self.b_o, self.b_o-learning_rate*T.grad(cost,self.b_o)),
+                        (self.b_u, self.b_u-learning_rate*T.grad(cost,self.b_u)),
+                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y)),
+                        (self.a_w, self.a_w-learning_rate*T.grad(cost,self.a_w))
+			])
+
+	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
+                                      outputs = [],
+                                      updates = updates,
+                                      allow_input_downcast=True,
+                                      mode='FAST_RUN'
+                                      )
+
+ 
+        def one_step_classify(word_id, word_children_positions, k, hidden_states, cell_states):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h * T.nnet.hard_sigmoid(T.dot(x, self.a_w)))
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]             
+
+            return  y_prob, hidden_states_new, cell_states_new
+        
+
+	[y_probs_classify, _, _ ], _ = theano.scan(
+				 fn=one_step_classify, 
+                                 sequences = [words, children_positions, words_indexes],
+				 outputs_info = [None,
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))])
+	
+	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
+                                     sequences = [words_indexes])
+
+        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
+                                     outputs=predictions,
+                                     allow_input_downcast=True,
+                                     mode='FAST_RUN' 
+                                     )
+
+
+
+
+class LSTM_6(object):  
+    def __init__(self, h_dim, nc, w2v_model_path, max_phrase_length): 
+
+        '''
+        nh :: dimension of hidden state
+        nc :: number of classes
+        '''
+
+        self.max_phrase_length = max_phrase_length
+        w2vecs = pickle.load(open(w2v_model_path,"r"))
+        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
+        self.words2ids = w2vecs["words2ids"]
+
+        emb_dim = w2vecs["vectors"].shape[1]
+        del w2vecs
+
+        r = 0.05
+
+	self.W_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_i = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_f = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_o = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_u = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+        self.W_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, nc)).astype(theano.config.floatX))
+        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
+
+	self.a_w = theano.shared(r * np.random.uniform(-1.0, 1.0, emb_dim).astype(theano.config.floatX))
+
+    
+        def one_step(word_id, word_children_positions, y_true, k, hidden_states, cell_states, attention_weights, learning_rate):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), 
+					hidden_states[word_children_positions[idx_tmp]].sum(axis=0), 
+					hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+
+	    #attention_weight = ifelse(T.gt(number_of_children, 0.0), T.max(attention_weights[word_children_positions[idx_tmp]]), T.nnet.sigmoid(T.dot(x, self.a_w)))
+	    #a = ifelse(T.gt(attention_weights[word_children_positions[idx_tmp]].shape[0],1),
+	   # 					T.max(attention_weights[word_children_positions[idx_tmp]]) ,
+	#					attention_weights[word_children_positions[idx_tmp]][0])
+	    attention_weight = ifelse(T.gt(number_of_children, 0.0), 
+					ifelse(T.gt(number_of_children, 1), T.mean(attention_weights[word_children_positions[idx_tmp]],axis=None), attention_weights[word_children_positions[0],0]), 
+					T.nnet.sigmoid(T.dot(x, self.a_w)))
+
+
+	    current_attention_weight = attention_weights[k]
+	    attention_weights_new = T.set_subtensor(current_attention_weight, attention_weight)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h * attention_weight)
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]
+	    
+            cross_entropy = -T.log(y_prob[y_true])						       # + norm_coefficient * l2_norm
+                                 
+            return cross_entropy, hidden_states_new, cell_states_new, attention_weights_new  
+
+
+        y = T.vector('y',dtype=dataType)
+        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
+	words = T.vector(dtype=dataType)
+        children_positions = T.matrix(dtype=dataType)
+	words_indexes = T.vector(dtype=dataType)
+
+
+
+	[cross_entropy_vector, _, _, _] , _ = theano.scan(fn=one_step, \
+                                 sequences = [words, children_positions,y,words_indexes],
+				 outputs_info = [None, 
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1, 1), dtype = theano.config.floatX))],
+                                 non_sequences = learning_rate,
+                                 n_steps = words.shape[0])
+	cost = T.sum(cross_entropy_vector)
+
+        updates = OrderedDict([
+			(self.W_i, self.W_i-learning_rate*T.grad(cost, self.W_i)),
+			(self.W_f, self.W_f-learning_rate*T.grad(cost, self.W_f)),
+			(self.W_o, self.W_o-learning_rate*T.grad(cost, self.W_o)),
+			(self.W_u, self.W_u-learning_rate*T.grad(cost, self.W_u)),
+			(self.W_y, self.W_y-learning_rate*T.grad(cost, self.W_y)),
+			#(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
+                        (self.b_i, self.b_i-learning_rate*T.grad(cost,self.b_i)),
+                        (self.b_f, self.b_f-learning_rate*T.grad(cost,self.b_f)),
+                        (self.b_o, self.b_o-learning_rate*T.grad(cost,self.b_o)),
+                        (self.b_u, self.b_u-learning_rate*T.grad(cost,self.b_u)),
+                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y)),
+                        (self.a_w, self.a_w-learning_rate*T.grad(cost,self.a_w))
+			])
+
+	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
+                                      outputs = [],
+                                      updates = updates,
+                                      allow_input_downcast=True,
+                                      mode='FAST_RUN'
+                                      )
+
+ 
+        def one_step_classify(word_id, word_children_positions, k, hidden_states, cell_states, attention_weights):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+	    #attention_weight = ifelse(T.gt(number_of_children, 0.0), T.max(attention_weights[word_children_positions[idx_tmp]]), T.nnet.sigmoid(T.dot(x, self.a_w)))
+#	    a = ifelse(T.gt(attention_weights[word_children_positions[idx_tmp]].shape[0],1),
+#	    					T.max(attention_weights[word_children_positions[idx_tmp]]) ,
+#						attention_weights[word_children_positions[idx_tmp]][0])
+#	    attention_weight = ifelse(T.gt(number_of_children, 0.0), 
+#					a, 
+#					T.nnet.sigmoid(T.dot(x, self.a_w)))
+
+	    attention_weight = ifelse(T.gt(number_of_children, 0.0), 
+					ifelse(T.gt(number_of_children, 1), T.mean(attention_weights[word_children_positions[idx_tmp]],axis=None), attention_weights[word_children_positions[0],0]), 
+					T.nnet.sigmoid(T.dot(x, self.a_w)))
+
+
+	    current_attention_weight = attention_weights[k]
+	    attention_weights_new = T.set_subtensor(current_attention_weight,attention_weight)
+
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h * attention_weight)
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]             
+
+            return  y_prob, hidden_states_new, cell_states_new, attention_weights_new
+        
+
+	[y_probs_classify, _, _ , _], _ = theano.scan(
+				 fn=one_step_classify, 
+                                 sequences = [words, children_positions, words_indexes],
+				 outputs_info = [None,
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1, 1), dtype = theano.config.floatX))])
+	
+	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
+                                     sequences = [words_indexes])
+
+        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
+                                     outputs=predictions,
+                                     allow_input_downcast=True,
+                                     mode='FAST_RUN' 
+                                     )
+
+class LSTM_6_2(object):  
+    def __init__(self, h_dim, nc, w2v_model_path, max_phrase_length): 
+
+        '''
+        nh :: dimension of hidden state
+        nc :: number of classes
+        '''
+
+        self.max_phrase_length = max_phrase_length
+        w2vecs = pickle.load(open(w2v_model_path,"r"))
+        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
+        self.words2ids = w2vecs["words2ids"]
+
+        emb_dim = w2vecs["vectors"].shape[1]
+        del w2vecs
+
+        r = 0.05
+
+	self.W_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_i = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_f = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_o = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_u = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+        self.W_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, nc)).astype(theano.config.floatX))
+        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
+
+	self.a_w = theano.shared(r * np.random.uniform(-1.0, 1.0, emb_dim).astype(theano.config.floatX))
+
+    
+        def one_step(word_id, word_children_positions, y_true, k, hidden_states, cell_states, attention_weights, learning_rate):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), 
+					hidden_states[word_children_positions[idx_tmp]].sum(axis=0), 
+					hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+
+	    #attention_weight = ifelse(T.gt(number_of_children, 0.0), T.max(attention_weights[word_children_positions[idx_tmp]]), T.nnet.sigmoid(T.dot(x, self.a_w)))
+	    #a = ifelse(T.gt(attention_weights[word_children_positions[idx_tmp]].shape[0],1),
+	   # 					T.max(attention_weights[word_children_positions[idx_tmp]]) ,
+	#					attention_weights[word_children_positions[idx_tmp]][0])
+	    attention_weight = ifelse(T.gt(number_of_children, 0.0), 
+					ifelse(T.gt(number_of_children, 1), T.mean(attention_weights[word_children_positions[idx_tmp]],axis=None), attention_weights[word_children_positions[0],0]), 
+					T.nnet.sigmoid(T.dot(x, self.a_w)))
+
+
+	    current_attention_weight = attention_weights[k]
+	    attention_weights_new = T.set_subtensor(current_attention_weight, attention_weight)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h * attention_weight)
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]
+	    
+            cross_entropy = -T.log(y_prob[y_true])						       # + norm_coefficient * l2_norm
+                                 
+            return cross_entropy, hidden_states_new, cell_states_new, attention_weights_new  
+
+
+        y = T.vector('y',dtype=dataType)
+        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
+	words = T.vector(dtype=dataType)
+        children_positions = T.matrix(dtype=dataType)
+	words_indexes = T.vector(dtype=dataType)
+
+
+
+	[cross_entropy_vector, _, _, _] , _ = theano.scan(fn=one_step, \
+                                 sequences = [words, children_positions,y,words_indexes],
+				 outputs_info = [None, 
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1, 1), dtype = theano.config.floatX))],
+                                 non_sequences = learning_rate,
+                                 n_steps = words.shape[0])
+	cost = T.mean(cross_entropy_vector)
+
+        updates = OrderedDict([
+			(self.W_i, self.W_i-learning_rate*T.grad(cost, self.W_i)),
+			(self.W_f, self.W_f-learning_rate*T.grad(cost, self.W_f)),
+			(self.W_o, self.W_o-learning_rate*T.grad(cost, self.W_o)),
+			(self.W_u, self.W_u-learning_rate*T.grad(cost, self.W_u)),
+			(self.W_y, self.W_y-learning_rate*T.grad(cost, self.W_y)),
+			#(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
+                        (self.b_i, self.b_i-learning_rate*T.grad(cost,self.b_i)),
+                        (self.b_f, self.b_f-learning_rate*T.grad(cost,self.b_f)),
+                        (self.b_o, self.b_o-learning_rate*T.grad(cost,self.b_o)),
+                        (self.b_u, self.b_u-learning_rate*T.grad(cost,self.b_u)),
+                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y)),
+                        (self.a_w, self.a_w-learning_rate*T.grad(cost,self.a_w))
+			])
+
+	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
+                                      outputs = [],
+                                      updates = updates,
+                                      allow_input_downcast=True,
+                                      mode='FAST_RUN'
+                                      )
+
+ 
+        def one_step_classify(word_id, word_children_positions, k, hidden_states, cell_states, attention_weights):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+	    #attention_weight = ifelse(T.gt(number_of_children, 0.0), T.max(attention_weights[word_children_positions[idx_tmp]]), T.nnet.sigmoid(T.dot(x, self.a_w)))
+#	    a = ifelse(T.gt(attention_weights[word_children_positions[idx_tmp]].shape[0],1),
+#	    					T.max(attention_weights[word_children_positions[idx_tmp]]) ,
+#						attention_weights[word_children_positions[idx_tmp]][0])
+#	    attention_weight = ifelse(T.gt(number_of_children, 0.0), 
+#					a, 
+#					T.nnet.sigmoid(T.dot(x, self.a_w)))
+
+	    attention_weight = ifelse(T.gt(number_of_children, 0.0), 
+					ifelse(T.gt(number_of_children, 1), T.mean(attention_weights[word_children_positions[idx_tmp]],axis=None), attention_weights[word_children_positions[0],0]), 
+					T.nnet.sigmoid(T.dot(x, self.a_w)))
+
+
+	    current_attention_weight = attention_weights[k]
+	    attention_weights_new = T.set_subtensor(current_attention_weight,attention_weight)
+
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h * attention_weight)
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]             
+
+            return  y_prob, hidden_states_new, cell_states_new, attention_weights_new
+        
+
+	[y_probs_classify, _, _ , _], _ = theano.scan(
+				 fn=one_step_classify, 
+                                 sequences = [words, children_positions, words_indexes],
+				 outputs_info = [None,
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1, 1), dtype = theano.config.floatX))])
+	
+	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
+                                     sequences = [words_indexes])
+
+        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
+                                     outputs=predictions,
+                                     allow_input_downcast=True,
+                                     mode='FAST_RUN' 
+                                     )
+
+
+
+class LSTM_7(object):  
+    def __init__(self, h_dim, nc, w2v_model_path, max_phrase_length): 
+
+        '''
+
+	Zmiany w stosunku do LSTM_1_2:
+	- dodanie mechanizmu attention based po wspolrzednych embedding
+
+        nh :: dimension of hidden state
+        nc :: number of classes
+        '''
+
+        self.max_phrase_length = max_phrase_length
+        w2vecs = pickle.load(open(w2v_model_path,"r"))
+        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
+        self.words2ids = w2vecs["words2ids"]
+
+        emb_dim = w2vecs["vectors"].shape[1]
+        del w2vecs
+
+        r = 0.05
+
+	self.W_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_i = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_f = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_o = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_u = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+        self.W_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, nc)).astype(theano.config.floatX))
+        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
+
+
+	self.a_w = theano.shared(r * np.random.uniform(-1.0, 1.0, emb_dim).astype(theano.config.floatX))
+
+
+    
+        def one_step(word_id, word_children_positions, y_true, k, hidden_states, cell_states, learning_rate):
+
+	    x = self.emb[word_id]
+                                                      
+	    x = x * T.nnet.hard_sigmoid(self.a_w)
+
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h)
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]
+	    
+            cross_entropy = -T.log(y_prob[y_true])						       # + norm_coefficient * l2_norm
+                                 
+            return cross_entropy, hidden_states_new, cell_states_new  
+
+
+        y = T.vector('y',dtype=dataType)
+        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
+	words = T.vector(dtype=dataType)
+        children_positions = T.matrix(dtype=dataType)
+	words_indexes = T.vector(dtype=dataType)
+
+	[cross_entropy_vector, _, _] , _ = theano.scan(fn=one_step, \
+                                 sequences = [words, children_positions,y,words_indexes],
+				 outputs_info = [None, 
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))],
+                                 non_sequences = learning_rate,
+                                 n_steps = words.shape[0])
+	cost = T.mean(cross_entropy_vector)
+
+        updates = OrderedDict([
+			(self.W_i, self.W_i-learning_rate*T.grad(cost, self.W_i)),
+			(self.W_f, self.W_f-learning_rate*T.grad(cost, self.W_f)),
+			(self.W_o, self.W_o-learning_rate*T.grad(cost, self.W_o)),
+			(self.W_u, self.W_u-learning_rate*T.grad(cost, self.W_u)),
+			(self.W_y, self.W_y-learning_rate*T.grad(cost, self.W_y)),
+			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
+                        (self.b_i, self.b_i-learning_rate*T.grad(cost,self.b_i)),
+                        (self.b_f, self.b_f-learning_rate*T.grad(cost,self.b_f)),
+                        (self.b_o, self.b_o-learning_rate*T.grad(cost,self.b_o)),
+                        (self.b_u, self.b_u-learning_rate*T.grad(cost,self.b_u)),
+                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y)),
+                        (self.a_w, self.a_w-learning_rate*T.grad(cost,self.a_w))
+			])
+
+	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
+                                      outputs = [],
+                                      updates = updates,
+                                      allow_input_downcast=True,
+                                      mode='FAST_RUN'
+                                      )
+
+ 
+        def one_step_classify(word_id, word_children_positions, k, hidden_states, cell_states):
+
+	    x = self.emb[word_id]
+                                                      
+	    x = x * T.nnet.hard_sigmoid(self.a_w)
+
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h)
+
+
+            y_prob = T.nnet.softmax(T.dot(h,self.W_y) + self.b_y)[0]             
+
+            return  y_prob, hidden_states_new, cell_states_new
+        
+
+	[y_probs_classify, _, _ ], _ = theano.scan(
+				 fn=one_step_classify, 
+                                 sequences = [words, children_positions, words_indexes],
+				 outputs_info = [None,
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX))])
+	
+	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
+                                     sequences = [words_indexes])
+
+        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
+                                     outputs=predictions,
+                                     allow_input_downcast=True,
+                                     mode='FAST_RUN' 
+                                     )
+
+
+
+class LSTM_LSTM_chain_1(object):  
+    def __init__(self, h_dim, h_dim2, nc, w2v_model_path, max_phrase_length): 
+
+        '''
+
+	Zmiany w stosunku do LSTM_1:
+	- funkcja kosztu zamiast sumy ma srednia
+
+        nh :: dimension of hidden state
+        nc :: number of classes
+        '''
+
+        self.max_phrase_length = max_phrase_length
+        w2vecs = pickle.load(open(w2v_model_path,"r"))
+        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
+        self.words2ids = w2vecs["words2ids"]
+
+        emb_dim = w2vecs["vectors"].shape[1]
+        del w2vecs
+
+        r = 0.05
+
+	self.W_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_i = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_i = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_f = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_f = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_o = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_o = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+	self.W_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (emb_dim, h_dim) ).astype(theano.config.floatX))
+  	self.U_u = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim) ).astype(theano.config.floatX))
+	self.b_u = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim ).astype(theano.config.floatX))
+
+        #self.W_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, nc)).astype(theano.config.floatX))
+        #self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
+
+
+	self.W_i2 = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim2) ).astype(theano.config.floatX))
+  	self.U_i2 = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim2, h_dim2) ).astype(theano.config.floatX))
+	self.b_i2 = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim2 ).astype(theano.config.floatX))
+
+	self.W_f2 = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim2) ).astype(theano.config.floatX))
+  	self.U_f2 = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim2, h_dim2) ).astype(theano.config.floatX))
+	self.b_f2 = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim2 ).astype(theano.config.floatX))
+
+	self.W_o2 = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim2) ).astype(theano.config.floatX))
+  	self.U_o2 = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim2, h_dim2) ).astype(theano.config.floatX))
+	self.b_o2 = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim2 ).astype(theano.config.floatX))
+
+	self.W_u2 = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim, h_dim2) ).astype(theano.config.floatX))
+  	self.U_u2 = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim2, h_dim2) ).astype(theano.config.floatX))
+	self.b_u2 = theano.shared(r * np.random.uniform(-1.0, 1.0, h_dim2 ).astype(theano.config.floatX))
+
+        self.W_y2   = theano.shared(r * np.random.uniform(-1.0, 1.0, (h_dim2, nc)).astype(theano.config.floatX))
+        self.b_y2   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
+
+    
+        def one_step(word_id, word_children_positions, y_true, k, hidden_states, cell_states, hidden_states2, cell_states2, learning_rate):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h)
+
+	    # nalozenie sieci lstm na drzewo stanow ukryyche z poprzedniej sieci:
+
+	    x2 = hidden_states[k]
+
+	    h2_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states2[word_children_positions[idx_tmp]].sum(axis=0), hidden_states2[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i2 = T.nnet.sigmoid(	T.dot(x2, self.W_i2) + T.dot(h2_aggregated, self.U_i2) + self.b_i2)             
+    
+	    o2 = T.nnet.sigmoid(	T.dot(x2, self.W_o2) + T.dot(h2_aggregated, self.U_o2) + self.b_o2)             
+
+	    u2 = T.tanh(	T.dot(x2, self.W_u2) + T.dot(h2_aggregated, self.U_u2) + self.b_u2)             
+
+	    f_c2 = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x2, self.W_f2 ) + T.dot(hidden_states2[word_children_positions[idx_tmp]], self.U_f2)  + self.b_f2)*cell_states2[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x2, self.W_f2 ) + T.dot(hidden_states2[-1], self.U_f2)  + self.b_f2 ) * cell_states2[-1]
+		)
+
+	    c2 = i2*u2 + f_c2
+
+            h2 = o2 * T.tanh(c2)
+
+            current_cell_state2 = cell_states2[k]
+            cell_states_new2 = T.set_subtensor(current_cell_state2, c2)
+
+            current_hidden_state2 = hidden_states2[k]
+            hidden_states_new2 = T.set_subtensor(current_hidden_state2, h2)
+
+
+
+
+
+            y_prob = T.nnet.softmax(T.dot(h2,self.W_y2) + self.b_y2)[0]
+	    
+            cross_entropy = -T.log(y_prob[y_true])						       # + norm_coefficient * l2_norm
+                                 
+            return cross_entropy, hidden_states_new, cell_states_new, hidden_states_new2, cell_states_new2   
+
+
+        y = T.vector('y',dtype=dataType)
+        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
+	words = T.vector(dtype=dataType)
+        children_positions = T.matrix(dtype=dataType)
+	words_indexes = T.vector(dtype=dataType)
+
+	[cross_entropy_vector, _, _, _, _] , _ = theano.scan(fn=one_step, \
+                                 sequences = [words, children_positions,y,words_indexes],
+				 outputs_info = [None, 
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim2), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim2), dtype = theano.config.floatX))],
+                                 non_sequences = learning_rate,
+                                 n_steps = words.shape[0])
+	cost = T.mean(cross_entropy_vector)
+
+        updates = OrderedDict([
+			(self.W_i, self.W_i-2*learning_rate*T.grad(cost, self.W_i)),
+			(self.W_f, self.W_f-2*learning_rate*T.grad(cost, self.W_f)),
+			(self.W_o, self.W_o-2*learning_rate*T.grad(cost, self.W_o)),
+			(self.W_u, self.W_u-2*learning_rate*T.grad(cost, self.W_u)),
+			#(self.W_y, self.W_y-learning_rate*T.grad(cost, self.W_y)),
+			(self.emb, self.emb-2*learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
+                        (self.b_i, self.b_i-2*learning_rate*T.grad(cost,self.b_i)),
+                        (self.b_f, self.b_f-2*learning_rate*T.grad(cost,self.b_f)),
+                        (self.b_o, self.b_o-2*learning_rate*T.grad(cost,self.b_o)),
+                        (self.b_u, self.b_u-2*learning_rate*T.grad(cost,self.b_u)),
+                        #(self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y)),
+
+			(self.W_i2, self.W_i2-learning_rate*T.grad(cost, self.W_i2)),
+			(self.W_f2, self.W_f2-learning_rate*T.grad(cost, self.W_f2)),
+			(self.W_o2, self.W_o2-learning_rate*T.grad(cost, self.W_o2)),
+			(self.W_u2, self.W_u2-learning_rate*T.grad(cost, self.W_u2)),
+			(self.W_y2, self.W_y2-learning_rate*T.grad(cost, self.W_y2)),
+                        (self.b_i2, self.b_i2-learning_rate*T.grad(cost,self.b_i2)),
+                        (self.b_f2, self.b_f2-learning_rate*T.grad(cost,self.b_f2)),
+                        (self.b_o2, self.b_o2-learning_rate*T.grad(cost,self.b_o2)),
+                        (self.b_u2, self.b_u2-learning_rate*T.grad(cost,self.b_u2)),
+                        (self.b_y2, self.b_y2-learning_rate*T.grad(cost,self.b_y2))
+			])
+
+	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
+                                      outputs = [],
+                                      updates = updates,
+                                      allow_input_downcast=True,
+                                      mode='FAST_RUN'
+                                      )
+
+ 
+        def one_step_classify(word_id, word_children_positions, k, hidden_states, cell_states, hidden_states2, cell_states2):
+
+	    x = self.emb[word_id]
+                                                       # czyli wektor zerowy # sprawdzic + 0.5
+	    tmp = word_children_positions>=0.0
+	    number_of_children = tmp.sum(dtype = theano.config.floatX) 
+	    idx_tmp = tmp.nonzero()                                                                   # indeksy realne dzieci - czyli te, gdzie nie ma -1        
+   
+	    h_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states[word_children_positions[idx_tmp]].sum(axis=0), hidden_states[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i = T.nnet.sigmoid(	T.dot(x, self.W_i) + T.dot(h_aggregated, self.U_i) + self.b_i)             
+    
+	    o = T.nnet.sigmoid(	T.dot(x, self.W_o) + T.dot(h_aggregated, self.U_o) + self.b_o)             
+
+	    u = T.tanh(	T.dot(x, self.W_u) + T.dot(h_aggregated, self.U_u) + self.b_u)             
+
+	    f_c = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[word_children_positions[idx_tmp]], self.U_f)  + self.b_f )*cell_states[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x, self.W_f ) + T.dot(hidden_states[-1], self.U_f)  + self.b_f ) * cell_states[-1]
+		)
+
+	    c = i*u + f_c
+
+            h = o * T.tanh(c)
+
+            current_cell_state = cell_states[k]
+            cell_states_new = T.set_subtensor(current_cell_state, c)
+
+            current_hidden_state = hidden_states[k]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h)
+
+	    # nalozenie sieci lstm na drzewo stanow ukryyche z poprzedniej sieci:
+
+	    x2 = hidden_states[k]
+
+	    h2_aggregated = ifelse(T.gt(number_of_children, 0.0), hidden_states2[word_children_positions[idx_tmp]].sum(axis=0), hidden_states2[-1])
+
+	    #number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0)
+	    #h_aggregated = h_aggregated/number_of_children					      # Usrednianie stanow ukrytych dzieci - 
+
+
+	    i2 = T.nnet.sigmoid(	T.dot(x2, self.W_i2) + T.dot(h2_aggregated, self.U_i2) + self.b_i2)             
+    
+	    o2 = T.nnet.sigmoid(	T.dot(x2, self.W_o2) + T.dot(h2_aggregated, self.U_o2) + self.b_o2)             
+
+	    u2 = T.tanh(	T.dot(x2, self.W_u2) + T.dot(h2_aggregated, self.U_u2) + self.b_u2)             
+
+	    f_c2 = ifelse(T.gt(number_of_children, 0.0), 
+			(T.nnet.sigmoid( T.dot(x2, self.W_f2 ) + T.dot(hidden_states2[word_children_positions[idx_tmp]], self.U_f2)  + self.b_f2)*cell_states2[word_children_positions[idx_tmp]]).sum(axis=0),
+			T.nnet.sigmoid( T.dot(x2, self.W_f2 ) + T.dot(hidden_states2[-1], self.U_f2)  + self.b_f2 ) * cell_states2[-1]
+		)
+
+	    c2 = i2*u2 + f_c2
+
+            h2 = o2 * T.tanh(c2)
+
+            current_cell_state2 = cell_states2[k]
+            cell_states_new2 = T.set_subtensor(current_cell_state2, c2)
+
+            current_hidden_state2 = hidden_states2[k]
+            hidden_states_new2 = T.set_subtensor(current_hidden_state2, h2)
+
+
+
+
+
+            y_prob = T.nnet.softmax(T.dot(h2,self.W_y2) + self.b_y2)[0]           
+
+            return  y_prob, hidden_states_new, cell_states_new, hidden_states_new2, cell_states_new2
+        
+
+	[y_probs_classify, _, _, _, _ ], _ = theano.scan(
+				 fn=one_step_classify, 
+                                 sequences = [words, children_positions, words_indexes],
+				 outputs_info = [None,
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim2), dtype = theano.config.floatX)),
+						 theano.shared(np.zeros((self.max_phrase_length+1,h_dim2), dtype = theano.config.floatX))])
+	
+	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
+                                     sequences = [words_indexes])
+
+        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
+                                     outputs=predictions,
+                                     allow_input_downcast=True,
+                                     mode='FAST_RUN' 
+                                     )
+
+
+
diff --git a/modules/rnn/LSTM_models.pyc b/modules/rnn/LSTM_models.pyc
index 5544e62..70ef31c 100644
Binary files a/modules/rnn/LSTM_models.pyc and b/modules/rnn/LSTM_models.pyc differ
diff --git a/modules/rnn/models.py b/modules/rnn/models.py
index 307e999..c16825a 100644
--- a/modules/rnn/models.py
+++ b/modules/rnn/models.py
@@ -39,7 +39,7 @@ dataType = 'int64'
 
 
 class model55_pf1(object):  
-    def __init__(self, ne, nchd, nc, w2v_model_path, max_phrase_length): 
+    def __init__(self, ne, nchd, nc, w2vecs, max_phrase_length): #w2v_model_path zamiast w2vecs
         '''
         nh :: dimension of hidden state
         nc :: number of classes
@@ -48,13 +48,13 @@ class model55_pf1(object):
         ds :: dimension of the sentiment state
         '''
         self.max_phrase_length = max_phrase_length
-        w2vecs = pickle.load(open(w2v_model_path,"r"))
+        #w2vecs = pickle.load(open(w2v_model_path,"r"))
         self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
         self.words2ids = w2vecs["words2ids"]
 
         #ne = len(w2vecs["words2ids"])
         de = w2vecs["vectors"].shape[1]
-        del w2vecs
+        #del w2vecs
 
         r = 0.05
         self.W_e_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (de, ne)).astype(theano.config.floatX))
@@ -2372,3 +2372,274 @@ class model55_pf17(object):
                                      )
 
 
+
+class model55_pf2_1(object):  
+
+	# punkt wyjscia - model pf2 - roznica polega na tym ze przekazujemy do gory drzewa h2 a nie h, czyli stan ukryty po przetworzeniu
+
+    def __init__(self, ne, nchd, nh2, nc, w2v_model_path, max_phrase_length): 
+        '''
+        nh :: dimension of hidden state
+        nc :: number of classes
+        de :: dimension of the word embeddings
+        ds :: dimension of the sentiment state
+        '''
+        self.max_phrase_length = max_phrase_length
+        w2vecs = pickle.load(open(w2v_model_path,"r"))
+        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
+        self.words2ids = w2vecs["words2ids"]
+
+        #ne = len(w2vecs["words2ids"])
+        de = w2vecs["vectors"].shape[1]
+        del w2vecs
+
+        r = 0.05
+    
+        self.W_e_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (de, ne)).astype(theano.config.floatX))
+
+        self.W_sh_h   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh2, nchd)).astype(theano.config.floatX))
+
+        self.W_h_h2   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nh2)).astype(theano.config.floatX))
+        self.W_h2_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh2, nc)).astype(theano.config.floatX))
+
+        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
+
+  
+        def one_step(word_id, word_children_positions, y_true, i, hidden_states, learning_rate):
+
+	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
+
+	    tmp = word_children_positions>=0.0
+	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
+	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
+	    number_of_children = tmp.sum(dtype = theano.config.floatX)
+	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
+	    schh = schh/number_of_children
+
+            h = T.tanh(T.concatenate([T.dot(self.emb[word_id],self.W_e_h), T.dot(schh,self.W_sh_h)]))
+            #h = T.nnet.sigmoid(T.dot(self.emb[word_id],self.W_eh) + T.dot(schh,self.W_shsh) + self.bh)
+
+            h2 = T.tanh(T.dot(h, self.W_h_h2))
+
+            current_hidden_state = hidden_states[i]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h2)
+
+            y_prob = T.nnet.softmax(T.dot(h2,self.W_h2_y) + self.b_y)[0]
+	
+            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
+                                 
+            return cross_entropy, hidden_states_new  
+
+
+        y = T.vector('y',dtype=dataType)
+        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
+	words = T.vector(dtype=dataType)
+        children_positions = T.matrix(dtype=dataType)
+	words_indexes = T.vector(dtype=dataType)
+
+	cross_entropy_vector, _ = theano.scan(fn=one_step, \
+                                 sequences = [words, children_positions,y,words_indexes],
+				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,nh2), dtype = theano.config.floatX))],
+                                 non_sequences = learning_rate,
+                                 n_steps = words.shape[0])
+	cost = T.sum(cross_entropy_vector[0])
+
+        updates = OrderedDict([
+			(self.W_h_h2, self.W_h_h2-learning_rate*T.grad(cost, self.W_h_h2)),
+			(self.W_h2_y, self.W_h2_y-learning_rate*T.grad(cost, self.W_h2_y)),
+			(self.W_e_h, self.W_e_h-learning_rate*T.grad(cost, self.W_e_h)),
+			(self.W_sh_h, self.W_sh_h-learning_rate*T.grad(cost, self.W_sh_h)),
+			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
+                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
+			])
+
+	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
+                                      outputs = [],
+                                      updates = updates,
+                                      allow_input_downcast=True,
+                                      mode='FAST_RUN'
+                                      )
+
+ 
+        def one_step_classify(word_id, word_children_positions, i, hidden_states):
+
+	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
+
+            tmp = word_children_positions>=0.0
+	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
+	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
+	    number_of_children = tmp.sum(dtype = theano.config.floatX)
+	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
+	    schh = schh/number_of_children
+
+            h = T.tanh(T.concatenate([T.dot(self.emb[word_id],self.W_e_h), T.dot(schh,self.W_sh_h)]))  
+
+            h2 = T.tanh(T.dot(h, self.W_h_h2))
+
+            current_hidden_state = hidden_states[i]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h2)
+
+
+            y_prob = T.nnet.softmax(T.dot(h2,self.W_h2_y) + self.b_y)[0]                  
+
+            return  y_prob, hidden_states_new 
+        
+
+	[y_probs_classify, hidden_states ], _ = theano.scan(
+				 fn=one_step_classify, 
+                                 sequences = [words, children_positions,words_indexes],
+				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,nh2), dtype = theano.config.floatX))])
+	
+	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
+                                     sequences = [words_indexes])
+
+        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
+                                     outputs=predictions,
+                                     allow_input_downcast=True,
+                                     mode='FAST_RUN' 
+                                     )
+
+
+
+class model55_pf7_1(object):  
+
+    # odpowiednik modelu pf7 - tutaj przekazujemy do rodzica stan h2 a nie h
+
+    def __init__(self, neh, ne, nshh, nchd, nh2, nc, w2v_model_path, max_phrase_length): 
+
+        '''
+        nh :: dimension of hidden state
+        nc :: number of classes
+        de :: dimension of the word embeddings
+        ds :: dimension of the sentiment state
+        '''
+        self.max_phrase_length = max_phrase_length
+        w2vecs = pickle.load(open(w2v_model_path,"r"))
+        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
+        self.words2ids = w2vecs["words2ids"]
+
+        #ne = len(w2vecs["words2ids"])
+        de = w2vecs["vectors"].shape[1]
+        del w2vecs
+
+        r = 0.05
+        self.W_e_eh  = theano.shared(r * np.random.uniform(-1.0, 1.0, (de, neh)).astype(theano.config.floatX))
+
+        self.W_eh_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (neh, ne)).astype(theano.config.floatX))
+
+        self.W_h_h2   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nh2)).astype(theano.config.floatX))
+        self.W_h2_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh2, nc)).astype(theano.config.floatX))
+
+        self.W_sh_shh   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh2, nshh)).astype(theano.config.floatX))
+
+	self.W_shh_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (nshh, nchd)).astype(theano.config.floatX))
+
+
+        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
+
+  
+        def one_step(word_id, word_children_positions, y_true, i, hidden_states, learning_rate):
+
+	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
+
+	    tmp = word_children_positions>=0.0
+	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
+	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
+	    number_of_children = tmp.sum(dtype = theano.config.floatX)
+	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
+	    schh = schh/number_of_children
+
+	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
+	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
+
+            h = T.tanh(T.concatenate([T.dot(eh, self.W_eh_h), T.dot(shh,self.W_shh_h)]))
+ 
+	    h2 = T.tanh(T.dot(h, self.W_h_h2))
+
+            current_hidden_state = hidden_states[i]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h2)
+
+            y_prob = T.nnet.softmax(T.dot(h2,self.W_h2_y) + self.b_y)[0]
+	
+	    #l2_norm = T.sum(self.W_h_h2**2) + T.sum(self.W_h2_y**2) + T.sum(self.W_e_h**2) + T.sum(self.W_sh_h**2) + T.sum(self.emb**2) + T.sum(self.b_h**2) + T.sum(self.b_y**2)
+
+            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
+                                 
+            return cross_entropy, hidden_states_new  
+
+
+        y = T.vector('y',dtype=dataType)
+        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
+	words = T.vector(dtype=dataType)
+        children_positions = T.matrix(dtype=dataType)
+	words_indexes = T.vector(dtype=dataType)
+
+	cross_entropy_vector, _ = theano.scan(fn=one_step, \
+                                 sequences = [words, children_positions,y,words_indexes],
+				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,nh2), dtype = theano.config.floatX))],
+                                 non_sequences = learning_rate,
+                                 n_steps = words.shape[0])
+
+	cost = T.sum(cross_entropy_vector[0])
+
+        updates = OrderedDict([
+			(self.W_h_h2, self.W_h_h2-learning_rate*T.grad(cost, self.W_h_h2)),
+			(self.W_h2_y, self.W_h2_y-learning_rate*T.grad(cost, self.W_h2_y)),
+			(self.W_e_eh, self.W_e_eh-learning_rate*T.grad(cost, self.W_e_eh)),
+			(self.W_eh_h, self.W_eh_h-learning_rate*T.grad(cost, self.W_eh_h)),
+			(self.W_shh_h, self.W_shh_h-learning_rate*T.grad(cost, self.W_shh_h)),
+			(self.W_sh_shh, self.W_sh_shh-learning_rate*T.grad(cost, self.W_sh_shh)),
+			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
+                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
+			])
+
+	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
+                                      outputs = [],
+                                      updates = updates,
+                                      allow_input_downcast=True,
+                                      mode='FAST_RUN'
+                                      )
+
+ 
+        def one_step_classify(word_id, word_children_positions, i, hidden_states):
+
+	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
+
+            tmp = word_children_positions>=0.0
+	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
+	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
+	    number_of_children = tmp.sum(dtype = theano.config.floatX)
+	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
+	    schh = schh/number_of_children
+
+	    eh = T.tanh(T.dot(self.emb[word_id],self.W_e_eh))
+	    shh = T.tanh(T.dot(schh,self.W_sh_shh))
+
+            h = T.tanh(T.concatenate([T.dot(eh, self.W_eh_h), T.dot(shh,self.W_shh_h)]))
+
+	    h2 = T.tanh(T.dot(h, self.W_h_h2)) 
+
+            current_hidden_state = hidden_states[i]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h2)
+
+            y_prob = T.nnet.softmax(T.dot(h2,self.W_h2_y) + self.b_y)[0]                  
+
+            return  y_prob, hidden_states_new 
+        
+
+	[y_probs_classify, hidden_states ], _ = theano.scan(
+				 fn=one_step_classify, 
+                                 sequences = [words, children_positions,words_indexes],
+				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,nh2), dtype = theano.config.floatX))])
+	
+	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
+                                     sequences = [words_indexes])
+
+        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
+                                     outputs=predictions,
+                                     allow_input_downcast=True,
+                                     mode='FAST_RUN' 
+                                     )
+
+
+
diff --git a/modules/rnn/models.pyc b/modules/rnn/models.pyc
index dfc2e17..aee3031 100644
Binary files a/modules/rnn/models.pyc and b/modules/rnn/models.pyc differ
diff --git a/modules/rnn/models_with_relations.py b/modules/rnn/models_with_relations.py
index ab36250..ed4b2f8 100644
--- a/modules/rnn/models_with_relations.py
+++ b/modules/rnn/models_with_relations.py
@@ -291,4 +291,139 @@ class MLP_2_2(object):
 
 
 
+class MLP_2_2(object):  
+
+    # punkt wyjscia modelu: model55_pf3
+ 
+    def __init__(self, ne, nchd, nh2, nh3, nc, w2v_model_path, max_phrase_length, number_of_relations): 
+        '''
+        nh :: dimension of hidden state
+        nc :: number of classes
+
+        de :: dimension of the word embeddings
+        ds :: dimension of the sentiment state
+        '''
+        self.max_phrase_length = max_phrase_length
+        w2vecs = pickle.load(open(w2v_model_path,"r"))
+        self.emb = theano.shared(w2vecs["vectors"].astype(theano.config.floatX))
+        self.words2ids = w2vecs["words2ids"]
+
+        #ne = len(w2vecs["words2ids"])
+        de = w2vecs["vectors"].shape[1]
+        del w2vecs
+
+        r = 0.05
+        self.W_e_h  = theano.shared(r * np.random.uniform(-1.0, 1.0, (de, ne)).astype(theano.config.floatX))
+        self.W_sh_h   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nchd)).astype(theano.config.floatX))
+
+        self.W_h_h2   = theano.shared(r * np.random.uniform(-1.0, 1.0, (ne+nchd, nh2)).astype(theano.config.floatX))
+        self.W_h2_h3   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh2, nh3)).astype(theano.config.floatX))
+        self.W_h3_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, (nh3, nc)).astype(theano.config.floatX))
+
+
+        self.b_y   = theano.shared(r * np.random.uniform(-1.0, 1.0, nc).astype(theano.config.floatX))
+
+	self.relations_weights = theano.shared(r * np.random.uniform(-1.0, 1.0, (number_of_relations+1, ne+nchd, ne+nchd)).astype(theano.config.floatX))
+  
+        def one_step(word_id, word_children_positions, y_true, relation, i, hidden_states, learning_rate):
+
+	    schh = hidden_states[-1] #+ 0.5 # czyli wektor zerowy
+
+	    tmp = word_children_positions>=0.0
+	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1        
+	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
+	    number_of_children = tmp.sum(dtype = theano.config.floatX)
+	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
+	    schh = schh/number_of_children
+
+            h = T.tanh(T.concatenate([T.dot(self.emb[word_id],self.W_e_h), T.dot(schh,self.W_sh_h)]))
+            #h = T.nnet.sigmoid(T.dot(self.emb[word_id],self.W_eh) + T.dot(schh,self.W_shsh) + self.bh)
+
+            current_hidden_state = hidden_states[i]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h)
+
+            h2 = T.tanh(T.dot(h, self.W_h_h2))
+
+            h3 = T.tanh(T.dot(h2, self.W_h2_h3))
+
+            y_prob = T.nnet.softmax(T.dot(h3,self.W_h3_y) + self.b_y)[0]
+	
+	    #l2_norm = T.sum(self.W_h_h2**2) + T.sum(self.W_h2_y**2) + T.sum(self.W_e_h**2) + T.sum(self.W_sh_h**2) + T.sum(self.emb**2) + T.sum(self.b_h**2) + T.sum(self.b_y**2)
+
+            cross_entropy = -T.log(y_prob[y_true]) # + norm_coefficient * l2_norm
+                                 
+            return cross_entropy, hidden_states_new  
+
+
+        y = T.vector('y',dtype=dataType)
+        learning_rate = T.scalar('lr',dtype=theano.config.floatX)
+	words = T.vector(dtype=dataType)
+        children_positions = T.matrix(dtype=dataType)
+	words_indexes = T.vector(dtype=dataType)
+
+	cross_entropy_vector, _ = theano.scan(fn=one_step, \
+                                 sequences = [words, children_positions,y,words_indexes],
+				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))],
+                                 non_sequences = learning_rate,
+                                 n_steps = words.shape[0])
+	cost = T.sum(cross_entropy_vector[0])
+
+        updates = OrderedDict([
+			(self.W_h_h2, self.W_h_h2-learning_rate*T.grad(cost, self.W_h_h2)),
+			(self.W_h2_h3, self.W_h2_h3-learning_rate*T.grad(cost, self.W_h2_h3)),
+			(self.W_h3_y, self.W_h3_y-learning_rate*T.grad(cost, self.W_h3_y)),
+			(self.W_e_h, self.W_e_h-learning_rate*T.grad(cost, self.W_e_h)),
+			(self.W_sh_h, self.W_sh_h-learning_rate*T.grad(cost, self.W_sh_h)),
+			(self.emb, self.emb-learning_rate*T.grad(cost, self.emb)), #updated_current_emb), #
+                        (self.b_y, self.b_y-learning_rate*T.grad(cost,self.b_y))
+			])
+
+	self.train = theano.function( inputs  = [words, children_positions, y, words_indexes, learning_rate],
+                                      outputs = [],
+                                      updates = updates,
+                                      allow_input_downcast=True,
+                                      mode='FAST_RUN'
+                                      )
+
+ 
+        def one_step_classify(word_id, word_children_positions, i, hidden_states):
+
+	    schh = hidden_states[-1] #+ 0.5# czyli wektor zerowy
+
+            tmp = word_children_positions>=0.0
+	    idx_tmp = tmp.nonzero() #indeksy realne dzieci - czyli te, gdzie nie ma -1
+	    schh = schh + hidden_states[word_children_positions[idx_tmp]].sum(axis=0) #suma stanow ukrytych dzieci
+	    number_of_children = tmp.sum(dtype = theano.config.floatX)
+	    number_of_children = ifelse( T.gt(number_of_children, 1.0),number_of_children, 1.0) 
+	    schh = schh/number_of_children
+
+            h = T.tanh(T.concatenate([T.dot(self.emb[word_id],self.W_e_h), T.dot(schh,self.W_sh_h)])  )
+
+            current_hidden_state = hidden_states[i]
+            hidden_states_new = T.set_subtensor(current_hidden_state, h)
+
+            h2 = T.tanh(T.dot(h, self.W_h_h2))
+
+            h3 = T.tanh(T.dot(h2, self.W_h2_h3))
+
+            y_prob = T.nnet.softmax(T.dot(h3,self.W_h3_y) + self.b_y)[0]                  
+
+            return  y_prob, hidden_states_new 
+        
+
+	[y_probs_classify, hidden_states ], _ = theano.scan(
+				 fn=one_step_classify, 
+                                 sequences = [words, children_positions,words_indexes],
+				 outputs_info = [None, theano.shared(np.zeros((self.max_phrase_length+1,ne+nchd), dtype = theano.config.floatX))])
+	
+	predictions, _ = theano.scan(lambda i: T.argmax(y_probs_classify[i]), 
+                                     sequences = [words_indexes])
+
+        self.classify = theano.function(inputs=[words,children_positions,words_indexes], 
+                                     outputs=predictions,
+                                     allow_input_downcast=True,
+                                     mode='FAST_RUN' 
+                                     )
+
+
 
diff --git a/modules/rnn/models_with_relations.pyc b/modules/rnn/models_with_relations.pyc
index c710385..f430968 100644
Binary files a/modules/rnn/models_with_relations.pyc and b/modules/rnn/models_with_relations.pyc differ
diff --git a/modules/utils/tools.py b/modules/utils/tools.py
index d519c38..a0e5fe4 100644
--- a/modules/utils/tools.py
+++ b/modules/utils/tools.py
@@ -820,6 +820,191 @@ def load_stanford_data4(labels, parents, tokens, words2ids, use_batch, batch_siz
 
 
 
+def load_stanford_data4_2(labels, parents, tokens, words2ids, use_batch, batch_size, nb_classes):
+
+    def transform_labels(x, nb_classes):
+        if nb_classes == 3:
+            if x =='#' or int(x) == 0:
+                return 1
+            elif int(x) < 0:
+                return 0
+            else:
+                return 2
+        elif nb_classes == 5:
+            if x =='#':
+                return 2
+            else:
+                return int(x)+2
+   
+    sentences = []
+
+    l = open(labels, "r")
+    # 5 klas: labels = [[2 if y=='#' else int(y)+2 for y in x.split()] for x in l.readlines()] 
+
+    # Na ten moment przyjmujemy wartosc "2" w miejsce "#"
+
+    labels = [[transform_labels(y,nb_classes) for y in x.split()] for x in l.readlines()] 
+    l.close()
+
+    p = open(parents,"r")
+    parents = [[int(y) for y in x.split()] for x in p.readlines()]
+    p.close()
+
+    t = open(tokens,"r")
+    tokens = [x.split() for x in t.readlines()]
+    t.close()
+    
+    
+    k = 0
+    sentence_length = 0
+    current_batch, batch_tokens, batch_children_ids, batch_children_positions, batch_labels = [], [], [], [], []
+    batch_words = []
+    
+    orders = []
+
+    for labels_i,parents_i,tokens_i in zip(labels,parents,tokens):
+        
+        k = k + 1
+         
+        s = []
+        for i in range(len(tokens_i)):
+            s.append([i,int(parents_i[i]),labels_i[i],tokens_i[i]])
+
+        if len(s) == 1 and use_batch == False: #przypadek gdy fraza sklada sie z jednego tokena
+
+            #if nb_classes == 2:
+            #    if s[0][-1] < 0:
+            #        continue
+
+            sentences.append([\
+                                  numpy.array([words2ids.get(tokens[0], -1)]),\
+                                  #wyrzucamy macierz id dzieci numpy.array([-1], ndmin=2),\
+                                  numpy.array([-1], ndmin=2), \
+                                  numpy.array(labels_i[0]) \
+                                  #,numpy.array([0])
+                              ])   
+	    orders.append([0]) 
+                                
+        else: 
+
+            for i in range(len(s)): # nie wiem czy sie nie wywali dla frazy dlugosci 1
+                children = []
+                for j in range(len(s)):
+                    if s[j][1] == i+1:
+                        children.append(s[j][0])
+                s[i].append(children)
+
+            words = [x[0] for x in s]
+            children = seq.pad_sequences([x[4] for x in s], padding='post', value = -1)
+            tokens = [x[3] for x in s]
+            labels_in_batch = [x[2] for x in s]
+            
+            ordered_words, order = words_in_from_down_to_top_order(children)
+
+
+	    orders.append(ordered_words)
+
+
+            if ordered_words is None: 
+                continue
+
+            current_sentence = [
+                                  numpy.array([words2ids.get(x,-1) for x in tokens])[ordered_words],
+                                  #wyrzucamy macierz id dzieci numpy.array([[words2ids.get(tokens[w],-1) if w>=0 else -1 for w in x] 
+                                  #             for x in children[ordered_words]]), 
+                                  numpy.array([[order[w] if w>= 0 else -1 for w in x] for x in children[ordered_words]]), 
+                                  numpy.array(labels_in_batch)[ordered_words] 
+                                  ,numpy.array(words)
+                                  ]
+            #if nb_classes == 2:
+            #    if current_sentence[3][-1] <0:
+            #        continue
+
+            if use_batch == True:
+                
+                # w tej chwili len(current_sentence[0]) nie jest nigdzie wykorzystywane
+                current_batch.append((current_sentence, len(current_sentence[0])))
+                
+                if len(current_batch) % batch_size == 0:
+
+                    shift = 0
+                    
+                    for sent in range(batch_size):
+                        
+                        ##if sent > 0:
+                        ##    shift = shift + current_batch[sent-1][1]
+                        
+                        for tok in range(len(current_batch[sent][0][0])):
+                            
+                            if sent == 0:
+                                batch_children_positions.append(current_batch[sent][0][1][tok])
+                            else:
+                                batch_children_positions.append([chd+shift if chd>=0 else -1 for chd in current_batch[sent][0][1][tok]])
+                            #batch_children_positions.append(current_batch[sent][0][2][tok])
+
+                            batch_tokens.append(current_batch[sent][0][0][tok])   
+                            #wyrzucamy macierz id dzieci batch_children_ids.append(current_batch[sent][0][1][tok])
+                            batch_labels.append(current_batch[sent][0][2][tok])
+                            batch_words.append(current_batch[sent][0][3][tok])
+                                                               
+                    #wyrzucamy macierz id dzieci batch_children_ids = seq.pad_sequences(batch_children_ids, padding='post', value = -1)
+                    batch_children_positions = seq.pad_sequences(batch_children_positions, padding='post', value = -1)
+                    
+                    sentences.append([
+                                        numpy.array(batch_tokens), 
+                                        #wyrzucamy macierz id dzieci numpy.array(batch_children_ids), 
+                                        numpy.array(batch_children_positions), 
+                                        numpy.array(batch_labels)
+                                        ,numpy.array(batch_words)
+                                    ])
+                    
+                    current_batch, batch_tokens, batch_children_positions, batch_labels = [], [], [], []
+                    batch_words = []
+
+                                       
+            else:
+                
+                sentences.append(current_sentence)
+
+            
+    # gdy liczba zdan nie jest wilokrotnosci licznosci batch, to na koncu trzeba dodac pozostale zdania:
+    if use_batch == True and len(current_batch) > 0:
+        
+        shift = 0
+
+        for sent in range(len(current_batch)):
+ 
+            #if sent > 0:
+            #    shift = shift + current_batch[sent-1][1]
+
+            for tok in range(len(current_batch[sent][0][0])):
+
+                if sent == 0:
+                    batch_children_positions.append(current_batch[sent][0][1][tok])
+                else:
+                    batch_children_positions.append([chd+shift if chd>=0 else -1 for chd in current_batch[sent][0][1][tok]])
+                #batch_children_positions.append(current_batch[sent][0][2][tok])
+
+                batch_tokens.append(current_batch[sent][0][0][tok])
+                #wyrzucamy macierz id dzieci batch_children_ids.append(current_batch[sent][0][1][tok])
+                batch_labels.append(current_batch[sent][0][2][tok])
+                batch_words.append(current_batch[sent][0][3][tok])
+
+
+        #wyrzucamy macierz id dzieci batch_children_ids = seq.pad_sequences(batch_children_ids, padding='post', value = -1)
+        batch_children_positions = seq.pad_sequences(batch_children_positions, padding='post', value = -1)
+
+        sentences.append([
+                            numpy.array(batch_tokens), 
+                            #wyrzucamy macierz id dzieci numpy.array(batch_children_ids), 
+                            numpy.array(batch_children_positions), 
+                            numpy.array(batch_labels)
+                            ,numpy.array(batch_words)
+                        ])
+           
+    return sentences, orders
+
+
 
 def load_stanford_data5(labels, parents, tokens, words2ids, use_batch, batch_size, nb_classes):
 
diff --git a/modules/utils/tools.pyc b/modules/utils/tools.pyc
index d58b207..a107937 100644
Binary files a/modules/utils/tools.pyc and b/modules/utils/tools.pyc differ
diff --git a/results/Predykcje/klasyfikacje.txt b/results/Predykcje/klasyfikacje.txt
new file mode 100644
index 0000000..8660162
--- /dev/null
+++ b/results/Predykcje/klasyfikacje.txt
@@ -0,0 +1,12862 @@
+id_zdania; pozycja_korenia_frazy_w_zdaniu; etykieta; wskazanie_modelu; fraza 
+348;0;0;0;Femme
+348;1;0;0;Lacoste
+348;2;0;0;perfumowana
+348;3;1;1;śliczny
+348;4;0;0;perfumowana Lacoste Pour Femme
+348;5;0;0;.
+348;6;1;1;śliczny zapach
+348;7;0;0;Woda perfumowana Lacoste Pour Femme
+348;8;0;1;Woda perfumowana Lacoste Pour Femme ma śliczny zapach .
+870;0;1;1;wspaniałe
+870;1;0;0;.
+870;2;0;1;wspaniałe słodkości
+870;3;0;0;też
+870;4;0;0;Tu
+870;5;0;0;Tu też przyrządzał wspaniałe słodkości .
+225;0;0;0;wieczorne
+225;1;0;0;dzień
+225;2;0;0;zarówno
+225;3;0;0;wieczorne wyjście
+225;4;0;0;na dzień
+225;5;1;1;Dobry zarówno
+225;6;0;0;.
+225;7;0;0;na wieczorne wyjście
+225;8;1;1;Dobry zarówno na dzień jak
+225;9;0;1;Dobry zarówno na dzień jak i na wieczorne wyjście .
+47;0;1;1;młodym
+47;1;0;0;młodym mężczyznom
+47;2;0;0;Ten
+47;3;0;0;.
+47;4;1;1;polecić młodym mężczyznom
+47;5;0;0;Ten produkt
+47;6;0;0;Ten produkt mogę polecić młodym mężczyznom .
+777;0;0;0;bardzo
+777;1;0;0;razy
+777;2;0;0;je
+777;3;1;1;bardzo fajne
+777;4;0;0;.
+777;5;0;0;je parę razy
+777;6;0;0;m
+777;7;1;1;Perfumy bardzo fajne
+777;8;0;0;Perfumy bardzo fajne miała m je parę razy .
+67;0;0;0;butelce
+67;1;0;0;dość
+67;2;0;0;aż
+67;3;0;0;w butelce
+67;4;1;0;dość przystępna
+67;5;0;0;.
+67;6;0;0;w butelce aż 100ml
+67;7;0;0;,
+67;8;1;0;Cena dość przystępna
+67;9;0;0;Cena dość przystępna , a w butelce aż 100ml .
+216;0;0;0;najbliższymi
+216;1;0;0;z najbliższymi
+216;2;0;0;relacji z najbliższymi
+216;3;0;1;dobrą
+216;4;0;1;z relacji z najbliższymi
+216;5;0;0;siebie
+216;6;0;1;dobrą samoocenę
+216;7;0;0;jednak
+216;8;0;0;wynikające z relacji z najbliższymi
+216;9;0;0;jakieś
+216;10;1;1;lubić siebie
+216;11;0;0;jednak mieć dobrą samoocenę
+216;12;0;0;jakieś zasoby wynikające z relacji z najbliższymi
+216;13;0;0;,
+216;14;0;1;jednak mieć dobrą samoocenę , lubić siebie
+216;15;0;0;.
+216;16;0;0;mieć jakieś zasoby wynikające z relacji z najbliższymi
+216;17;0;0;dziecko
+216;18;0;0;Żeby jednak mieć dobrą samoocenę , lubić siebie ,
+216;19;0;0;Żeby jednak mieć dobrą samoocenę , lubić siebie , dziecko musi mieć jakieś zasoby wynikające z relacji z najbliższymi .
+618;0;0;0;często
+618;1;0;0;nie
+618;2;0;0;nie często sięgała
+618;3;0;0;po nie często sięgała
+618;4;0;0;m
+618;5;0;0;.
+618;6;0;0;by m po nie często sięgała
+618;7;0;0;sama
+618;8;1;0;wysoka
+618;9;0;0;nie
+618;10;0;0;nie wysoka cena sama by m po nie często sięgała .
+618;11;0;0;Gdyby nie wysoka cena sama by m po nie często sięgała .
+470;0;0;1;wyrafinowanych
+470;1;1;1;wyrafinowanych gustach
+470;2;1;1;o wyrafinowanych gustach
+470;3;1;1;kobiet o wyrafinowanych gustach
+470;4;1;1;dla kobiet o wyrafinowanych gustach
+470;5;1;0;stosowny
+470;6;0;0;że
+470;7;0;0;,
+470;8;0;0;.
+470;9;1;0;, że stosowny tylko dla kobiet o wyrafinowanych gustach
+470;10;0;0;Uważam , że stosowny tylko dla kobiet o wyrafinowanych gustach .
+380;0;0;0;nocną
+380;1;0;0;koszulę nocną
+380;2;0;0;.
+380;3;0;0;pod koszulę nocną
+380;4;0;0;się
+380;5;1;1;Świetnie
+380;6;0;1;Świetnie nadaje się pod koszulę nocną .
+1009;0;1;0;zdecydowanej
+1009;1;0;0;,
+1009;2;0;0;, zdecydowanej ,
+1009;3;0;0;swojej
+1009;4;0;0;pewnej
+1009;5;0;0;pewnej swojej kobiecości , zdecydowanej ,
+1009;6;0;0;każdej
+1009;7;0;0;romantyczki
+1009;8;0;0;każdej kobiety pewnej swojej kobiecości , zdecydowanej ,
+1009;9;0;0;.
+1009;10;0;0;dla romantyczki
+1009;11;0;1;Dla każdej kobiety pewnej swojej kobiecości , zdecydowanej ,
+1009;12;0;1;Dla każdej kobiety pewnej swojej kobiecości , zdecydowanej , oraz dla romantyczki .
+1069;0;0;0;lekkie
+1069;1;-1;0;cienkie
+1069;2;0;0;bluzeczki
+1069;3;0;0;cienkie lekkie sukienki
+1069;4;0;1;cienkie lekkie sukienki i bluzeczki
+1069;5;0;0;pod cienkie lekkie sukienki i bluzeczki
+1069;6;0;0;go
+1069;7;0;0;odparzeń
+1069;8;0;0;podrażnień
+1069;9;0;0;nie
+1069;10;0;0;.
+1069;11;0;0;odparzeń Noszę go pod cienkie lekkie sukienki i bluzeczki
+1069;12;1;0;nie ppowoduje podrażnień
+1069;13;0;0;nie ppowoduje podrażnień i odparzeń Noszę go pod cienkie lekkie sukienki i bluzeczki .
+864;0;0;0;figury
+864;1;0;0;do figury
+864;2;0;0;się
+864;3;1;1;świetnie
+864;4;0;0;który
+864;5;0;0;,
+864;6;1;1;, który świetnie dopasowuje się do figury
+864;7;0;0;miękkiego
+864;8;1;1;miękkiego materiału , który świetnie dopasowuje się do figury
+864;9;0;0;.
+864;10;1;1;z miękkiego materiału , który świetnie dopasowuje się do figury
+864;11;0;0;jest
+864;12;0;0;Zrobiony jest z miękkiego materiału , który świetnie dopasowuje się do figury .
+1054;0;0;0;seksownych
+1054;1;1;1;romantycznych
+1054;2;0;0;,
+1054;3;0;0;zmysłowych
+1054;4;1;1;zmysłowych , romantycznych i seksownych
+1054;5;0;0;.
+1054;6;1;1;kobiet zmysłowych , romantycznych i seksownych
+1054;7;0;0;Dla kobiet zmysłowych , romantycznych i seksownych .
+481;0;1;1;ładny
+481;1;0;0;.
+481;2;1;1;ładny fason
+481;3;0;0;bardzo
+481;4;0;0;Ma bardzo ładny fason .
+20;0;0;-1;czarnej
+20;1;1;-1;czarnej magii
+20;2;0;0;uprawianie czarnej magii
+20;3;0;0;o uprawianie czarnej magii
+20;4;-1;-1;oskarżeń o uprawianie czarnej magii
+20;5;0;0;coraz
+20;6;0;0;Jego
+20;7;0;0;.
+20;8;0;-1;ofiarą oskarżeń o uprawianie czarnej magii
+20;9;0;0;coraz częściej
+20;10;0;0;Jego wyznawcy
+20;11;0;0;Jego wyznawcy coraz częściej padają ofiarą oskarżeń o uprawianie czarnej magii .
+556;0;0;0;głową
+556;1;0;0;zupy
+556;2;0;0;przysłowiowy
+556;3;0;0;nad głową
+556;4;0;0;przysłowiowy talerz zupy
+556;5;0;0;dach nad głową
+556;6;0;0;dach nad głową i przysłowiowy talerz zupy
+556;7;0;0;nam
+556;8;0;0;którzy
+556;9;0;0;,
+556;10;0;0;, którzy dali nam dach nad głową i przysłowiowy talerz zupy
+556;11;1;1;porządnych
+556;12;0;0;takich
+556;13;0;0;takich porządnych ludzi , którzy dali nam dach nad głową i przysłowiowy talerz zupy
+556;14;0;0;na takich porządnych ludzi , którzy dali nam dach nad głową i przysłowiowy talerz zupy
+556;15;0;0;em
+556;16;0;0;że
+556;17;0;0;,
+556;18;0;0;dziś
+556;19;0;0;.
+556;20;0;0;, że trafił em na takich porządnych ludzi , którzy dali nam dach nad głową i przysłowiowy talerz zupy
+556;21;0;0;Bogu
+556;22;0;0;Do dziś
+556;23;0;1;Do dziś dziękuję Bogu , że trafił em na takich porządnych ludzi , którzy dali nam dach nad głową i przysłowiowy talerz zupy .
+1105;0;0;0;owocowy
+1105;1;1;1;słodki
+1105;2;0;0;słodki i owocowy
+1105;3;0;0;,
+1105;4;0;0;.
+1105;5;0;1;, jednak słodki i owocowy
+1105;6;0;0;lekki
+1105;7;0;0;zapach lekki , jednak słodki i owocowy .
+611;0;0;0;własnego
+611;1;0;0;własnego rozumu
+611;2;0;0;ograniczona
+611;3;0;0;z własnego rozumu
+611;4;0;0;być ograniczona
+611;5;0;0;też
+611;6;0;0;radość z własnego rozumu
+611;7;0;0;że
+611;8;0;0;,
+611;9;0;0;, że radość z własnego rozumu też może być ograniczona
+611;10;0;0;.
+611;11;0;0;rozumieć , że radość z własnego rozumu też może być ograniczona
+611;12;0;0;em
+611;13;0;0;Zaczynał em rozumieć , że radość z własnego rozumu też może być ograniczona .
+445;0;0;0;nie
+445;1;0;0;go
+445;2;0;0;że
+445;3;0;0;,
+445;4;0;0;sukienką
+445;5;0;0;, że go nie ma
+445;6;0;0;się
+445;7;0;0;pod sukienką
+445;8;0;0;się
+445;9;0;0;Nie
+445;10;0;0;.
+445;11;0;0;wydaje się , że go nie ma
+445;12;0;1;Nie wyróżnia się pod sukienką
+445;13;0;0;Nie wyróżnia się pod sukienką , wydaje się , że go nie ma .
+563;0;0;0;wąchać
+563;1;0;0;się
+563;2;0;0;się przestać wąchać
+563;3;0;0;nie
+563;4;0;0;wręcz
+563;5;0;0;którego
+563;6;0;0;,
+563;7;0;0;zmysłowy
+563;8;1;1;przepiękny
+563;9;0;0;, którego wręcz nie da się przestać wąchać
+563;10;1;1;przepiękny , zmysłowy
+563;11;0;0;ona
+563;12;0;0;.
+563;13;1;1;ona przepiękny , zmysłowy zapach , którego wręcz nie da się przestać wąchać
+563;14;0;0;Ma ona przepiękny , zmysłowy zapach , którego wręcz nie da się przestać wąchać .
+830;0;1;1;energicznej
+830;1;1;0;energicznej dziewczyny
+830;2;0;0;jak
+830;3;0;0;.
+830;4;0;1;jak i energicznej dziewczyny
+830;5;0;0;romantyczki
+830;6;0;0;Dla romantyczki jak i energicznej dziewczyny .
+419;0;0;0;go
+419;1;1;1;go uwielbiają
+419;2;1;1;kobiety go uwielbiają
+419;3;1;1;tego kobiety go uwielbiają
+419;4;0;0;.
+419;5;1;1;do tego kobiety go uwielbiają
+419;6;0;1;A do tego kobiety go uwielbiają .
+228;0;1;1;Świetna
+228;1;0;0;.
+228;2;0;0;opakowanie
+228;3;1;0;Świetna butelka
+228;4;0;0;Świetna butelka i opakowanie .
+604;0;0;0;bardziej
+604;1;0;1;bardziej odważnych
+604;2;0;0;bardziej odważnych kobiet
+604;3;0;0;.
+604;4;0;0;do bardziej odważnych kobiet
+604;5;0;0;Skierowany do bardziej odważnych kobiet .
+325;0;0;0;życiem
+325;1;0;0;się
+325;2;0;1;cieszących się życiem
+325;3;0;0;.
+325;4;0;1;kobiet cieszących się życiem
+325;5;0;0;Dla kobiet cieszących się życiem .
+95;0;0;0;dłużej
+95;1;0;0;cytrusy
+95;2;0;0;pomidora
+95;3;0;0;na dłużej
+95;4;0;0;świeżości
+95;5;1;1;niepowtarzalnego
+95;6;0;0;pomidora i cytrusy
+95;7;1;0;uczucie świeżości na dłużej
+95;8;1;1;niepowtarzalnego charakteru
+95;9;0;0;mu
+95;10;0;0;Liść pomidora i cytrusy
+95;11;0;0;.
+95;12;1;0;dają uczucie świeżości na dłużej
+95;13;1;1;Liść pomidora i cytrusy nadają mu niepowtarzalnego charakteru
+95;14;0;0;Liść pomidora i cytrusy nadają mu niepowtarzalnego charakteru i dają uczucie świeżości na dłużej .
+1161;0;1;1;Dobre
+1161;1;0;0;.
+1161;2;0;0;flakon
+1161;3;0;0;już
+1161;4;1;0;Dobre wrażenie
+1161;5;0;0;Dobre wrażenie robi już flakon .
+882;0;1;1;wysokiej
+882;1;0;0;wysokiej ceny
+882;2;0;0;,
+882;3;0;0;niego
+882;4;0;0;taki
+882;5;0;0;, mimo wysokiej ceny
+882;6;0;1;zadowolona
+882;7;0;0;z niego
+882;8;0;0;taki biustonosz
+882;9;0;0;.
+882;10;1;0;jestem z niego zadowolona , mimo wysokiej ceny
+882;11;0;0;Posiadam taki biustonosz
+882;12;0;0;Posiadam taki biustonosz , jestem z niego zadowolona , mimo wysokiej ceny .
+109;0;0;0;każdą
+109;1;0;0;każdą sylwetkę
+109;2;0;0;.
+109;3;0;1;na każdą sylwetkę
+109;4;0;0;Idealnie
+109;5;1;1;Idealnie pasuje na każdą sylwetkę .
+570;0;0;0;eterycznej
+570;1;1;0;romantycznej
+570;2;0;0;nienachalny
+570;3;0;0;,
+570;4;1;1;romantycznej i eterycznej
+570;5;0;0;.
+570;6;1;0;kobiety romantycznej i eterycznej , nienachalny
+570;7;0;0;Dla kobiety romantycznej i eterycznej , nienachalny .
+767;0;0;0;wyobrażeniach
+767;1;-1;0;obawach
+767;2;0;0;,
+767;3;0;0;myślach
+767;4;0;0;swoich
+767;5;0;0;samotności
+767;6;0;0;izolacji
+767;7;0;0;zbyt
+767;8;0;0;swoich myślach , obawach i wyobrażeniach
+767;9;0;0;izolacji , samotności
+767;10;0;0;zbyt silną
+767;11;0;0;w swoich myślach , obawach i wyobrażeniach
+767;12;0;0;się
+767;13;0;0;zbyt silną potrzebę izolacji , samotności
+767;14;0;0;zamknięcie się w swoich myślach , obawach i wyobrażeniach
+767;15;0;0;,
+767;16;0;0;odczuwasz zbyt silną potrzebę izolacji , samotności
+767;17;0;0;.
+767;18;0;0;na zamknięcie się w swoich myślach , obawach i wyobrażeniach
+767;19;0;0;nie
+767;20;0;0;Jeśli odczuwasz zbyt silną potrzebę izolacji , samotności ,
+767;21;0;0;Jeśli odczuwasz zbyt silną potrzebę izolacji , samotności , nie pozwól na zamknięcie się w swoich myślach , obawach i wyobrażeniach .
+167;0;0;0;trwała
+167;1;0;0;bardziej
+167;2;0;0;sumie
+167;3;0;0;być bardziej trwała
+167;4;0;0;by
+167;5;0;0;w sumie
+167;6;1;1;fajna
+167;7;0;0;w sumie mogła by być bardziej trwała
+167;8;0;0;,
+167;9;1;1;fajna woda
+167;10;0;0;całkiem
+167;11;0;1;całkiem fajna woda , ale w sumie mogła by być bardziej trwała
+540;0;1;1;niepowtarzalny
+540;1;0;0;jedyny
+540;2;1;1;jedyny , niepowtarzalny
+540;3;0;0;.
+540;4;1;1;jedyny , niepowtarzalny zapach
+540;5;0;0;To jedyny , niepowtarzalny zapach .
+104;0;0;0;Jeleniej
+104;1;0;0;majątkowych
+104;2;0;0;Jeleniej Góry
+104;3;1;0;korzyści majątkowych
+104;4;0;0;przyjęcia
+104;5;0;0;żądania
+104;6;0;0;do Jeleniej Góry
+104;7;0;0;żądania i przyjęcia korzyści majątkowych
+104;8;0;-1;przewiezieniu do Jeleniej Góry
+104;9;0;0;.
+104;10;0;0;zarzuty żądania i przyjęcia korzyści majątkowych
+104;11;0;0;mu
+104;12;0;0;prokurator
+104;13;0;0;Po przewiezieniu do Jeleniej Góry
+104;14;0;0;Po przewiezieniu do Jeleniej Góry prokurator postawił mu zarzuty żądania i przyjęcia korzyści majątkowych .
+923;0;0;0;nią
+923;1;0;0;toaletowa
+923;2;0;0;tę
+923;3;0;0;Mój
+923;4;0;0;nie
+923;5;0;0;na nią
+923;6;0;0;nigdy
+923;7;0;0;tę wodę toaletowa
+923;8;0;0;Mój tata
+923;9;0;0;.
+923;10;0;0;nigdy na nią nie narzekał
+923;11;0;0;Mój tata posiada tę wodę toaletowa
+923;12;0;0;Mój tata posiada tę wodę toaletowa i nigdy na nią nie narzekał .
+673;0;0;0;druciki
+673;1;-1;-1;kiepskie
+673;2;0;0;również
+673;3;0;0;Fiszbiny
+673;4;0;0;.
+673;5;0;0;kłują
+673;6;0;1;druciki wychodzą
+673;7;0;0;-
+673;8;-1;0;Fiszbiny również są kiepskie
+673;9;-1;0;Fiszbiny również są kiepskie - druciki wychodzą i kłują .
+664;0;0;0;środka
+664;1;0;0;je
+664;2;0;0;do środka
+664;3;0;0;je powiększając
+664;4;0;0;delikatnie
+664;5;0;0;piersi do środka
+664;6;1;1;dobrze
+664;7;0;0;się
+664;8;0;0;.
+664;9;0;0;zbiera piersi do środka delikatnie je powiększając
+664;10;1;1;Układa się dobrze
+664;11;0;0;Układa się dobrze i zbiera piersi do środka delikatnie je powiększając .
+842;0;0;0;białe
+842;1;0;0;białe bluzki
+842;2;0;0;.
+842;3;0;0;pod białe bluzki
+842;4;1;1;Polecam pod białe bluzki .
+958;0;0;0;optycznie
+958;1;0;1;optycznie powiększone
+958;2;0;0;.
+958;3;0;0;optycznie powiększone piersi
+958;4;0;0;Efektem
+958;5;0;0;Efektem jest optycznie powiększone piersi .
+966;0;0;0;.
+966;1;0;0;piersi
+966;2;1;0;Super
+966;3;0;0;Super podtrzumuje piersi .
+1180;0;0;0;głowy
+1180;1;0;0;,
+1180;2;-1;-1;śmiertelny
+1180;3;0;0;się
+1180;4;0;0;później
+1180;5;0;0;który
+1180;6;0;0;,
+1180;7;0;0;tył głowy
+1180;8;0;0;metalowym
+1180;9;0;0;, który później okazał się śmiertelny ,
+1180;10;0;0;Pierwszy
+1180;11;0;0;.
+1180;12;0;0;w tył głowy
+1180;13;0;-1;metalowym krzesłem
+1180;14;0;0;został
+1180;15;0;0;Pierwszy cios , który później okazał się śmiertelny ,
+1180;16;0;0;Pierwszy cios , który później okazał się śmiertelny , został zadany metalowym krzesłem w tył głowy .
+774;0;0;0;bardzo
+774;1;0;0;tej
+774;2;0;0;Mój
+774;3;0;0;sobie
+774;4;0;0;bardzo ja
+774;5;0;0;tej wody
+774;6;0;0;teraz
+774;7;0;0;Mój chłopak
+774;8;0;0;.
+774;9;1;0;bardzo ja sobie chwali
+774;10;0;1;Mój chłopak teraz używa tej wody
+774;11;0;1;Mój chłopak teraz używa tej wody i bardzo ja sobie chwali .
+659;0;0;0;.
+659;1;-1;-1;myląca
+659;2;0;0;zapachu
+659;3;0;0;Nazwa zapachu myląca .
+772;0;0;0;bardzo
+772;1;0;0;jakościowo
+772;2;1;1;bardzo dobry
+772;3;0;0;produkt
+772;4;0;0;wygórowana
+772;5;0;0;nie
+772;6;0;0;Cena
+772;7;0;0;.
+772;8;1;1;produkt jest bardzo dobry jakościowo
+772;9;0;0;,
+772;10;1;0;Cena nie jest wygórowana
+772;11;0;0;Cena nie jest wygórowana , a produkt jest bardzo dobry jakościowo .
+935;0;0;0;bardzo
+935;1;0;0;bardzo ozdobny
+935;2;0;0;Pięknie
+935;3;0;0;.
+935;4;0;0;bardzo ozdobny biustonosz
+935;5;1;1;Pięknie wykonany
+935;6;0;1;Pięknie wykonany i bardzo ozdobny biustonosz .
+1071;0;0;0;jakie
+1071;1;0;0;Chanel jakie
+1071;2;1;1;najlepsze
+1071;3;0;0;mnie
+1071;4;0;0;.
+1071;5;0;0;m
+1071;6;1;1;najlepsze perfumy Chanel jakie
+1071;7;0;0;Według mnie
+1071;8;0;0;Według mnie najlepsze perfumy Chanel jakie miała m .
+832;0;0;0;bardzo
+832;1;0;0;gatunkowo
+832;2;1;1;bardzo dobry
+832;3;0;0;.
+832;4;1;1;bardzo dobry gatunkowo biustonosza
+832;5;0;0;Jest
+832;6;0;0;Jest to bardzo dobry gatunkowo biustonosza .
+917;0;-1;0;mrocznym
+917;1;0;0;moim
+917;2;0;0;niego
+917;3;-1;0;moim mrocznym świecie
+917;4;0;0;.
+917;5;0;0;miejsca
+917;6;0;0;dla niego
+917;7;0;0;nie
+917;8;-1;0;w moim mrocznym świecie
+917;9;0;0;Jednak
+917;10;0;0;Jednak w moim mrocznym świecie nie ma dla niego miejsca .
+1185;0;0;1;zdrowy
+1185;1;0;1;zdrowy rozsądek
+1185;2;-1;0;krzywdy
+1185;3;0;0;niż zdrowy rozsądek
+1185;4;0;0;duma
+1185;5;0;0;poczucie krzywdy
+1185;6;0;0;.
+1185;7;0;1;silniejsze niż zdrowy rozsądek
+1185;8;0;0;poczucie krzywdy i duma
+1185;9;0;0;Ale
+1185;10;0;0;Ale poczucie krzywdy i duma były silniejsze niż zdrowy rozsądek .
+1151;0;0;0;wody
+1151;1;0;0;200
+1151;2;0;0;który
+1151;3;0;0;,
+1151;4;0;0;.
+1151;5;0;0;ml wody
+1151;6;0;0;, który mieści 200
+1151;7;0;0;flakonu
+1151;8;1;1;Ciekawa
+1151;9;0;0;Ciekawa kolorystyka flakonu , który mieści 200 ml wody .
+568;0;0;0;zimę
+568;1;0;0;.
+568;2;0;0;na zimę
+568;3;1;1;Polecam na zimę .
+657;0;0;0;tego
+657;1;0;0;tego stanika
+657;2;0;0;.
+657;3;1;1;dobra
+657;4;0;0;bardzo
+657;5;0;0;Cena tego stanika
+657;6;0;0;Cena tego stanika jest bardzo dobra .
+807;0;1;0;markowym
+807;1;0;0;ta
+807;2;0;0;.
+807;3;0;-1;produktem markowym
+807;4;0;0;Woda ta
+807;5;0;0;Woda ta jest produktem markowym .
+1130;0;1;0;dodatkowym
+1130;1;0;0;więc
+1130;2;0;0;odpinane
+1130;3;1;1;dodatkowym plusem
+1130;4;0;0;to
+1130;5;0;0;odpinane ramiączka więc
+1130;6;0;0;.
+1130;7;1;0;odpinane ramiączka więc to jest dodatkowym plusem
+1130;8;0;0;Ma odpinane ramiączka więc to jest dodatkowym plusem .
+92;0;0;0;stacjonarnego
+92;1;0;0;bardzo
+92;2;0;0;stacjonarnego używania
+92;3;-1;-1;bardzo ciężki
+92;4;0;0;100ml
+92;5;0;0;do stacjonarnego używania
+92;6;0;0;,
+92;7;-1;-1;flakon bardzo ciężki
+92;8;0;0;pojemność 100ml
+92;9;0;0;.
+92;10;0;0;, tylko do stacjonarnego używania
+92;11;0;0;pojemność 100ml , flakon bardzo ciężki
+92;12;0;0;Mam pojemność 100ml , flakon bardzo ciężki , tylko do stacjonarnego używania .
+1032;0;0;0;codziennego
+1032;1;0;0;codziennego noszenia
+1032;2;0;0;dotyku
+1032;3;0;0;do codziennego noszenia
+1032;4;0;0;w dotyku
+1032;5;1;1;wygodny do codziennego noszenia
+1032;6;1;1;miękki w dotyku
+1032;7;0;0;.
+1032;8;1;1;miękki w dotyku oraz wygodny do codziennego noszenia
+1032;9;0;0;Jest miękki w dotyku oraz wygodny do codziennego noszenia .
+771;0;0;0;kwiatowy
+771;1;0;0;- kwiatowy
+771;2;1;1;pełen
+771;3;0;0;owocowo - kwiatowy
+771;4;0;0;energii
+771;5;1;1;pełen życia
+771;6;0;0;,
+771;7;0;0;owocowo - kwiatowy zapach
+771;8;1;0;owocowo - kwiatowy zapach , pełen życia i energii
+771;9;0;0;Blue
+771;10;0;0;Light
+771;11;0;0;Gabbana
+771;12;0;0;!
+771;13;1;0;Gabbana Light Blue to owocowo - kwiatowy zapach , pełen życia i energii
+771;14;0;0;Dolce& Gabbana Light Blue to owocowo - kwiatowy zapach , pełen życia i energii !
+24;0;0;0;jego
+24;1;0;0;mężczyzny
+24;2;0;0;jego męskość
+24;3;0;0;do mężczyzny
+24;4;0;0;.
+24;5;1;1;podkreśla jego męskość
+24;6;1;0;Pasuje do mężczyzny
+24;7;0;0;Pasuje do mężczyzny i podkreśla jego męskość .
+1154;0;0;0;prezent
+1154;1;0;0;na prezent
+1154;2;1;1;idealny
+1154;3;0;0;.
+1154;4;1;1;nowość idealny na prezent
+1154;5;0;0;Jako nowość idealny na prezent .
+0;0;0;0;flakonika
+0;1;1;1;oszczędny
+0;2;0;0;.
+0;3;0;0;oszczędny design flakonika
+0;4;0;0;się
+0;5;0;0;mi
+0;6;0;1;Podoba mi się oszczędny design flakonika .
+769;0;1;1;elegancki
+769;1;0;0;ten
+769;2;0;0;Jagodowe
+769;3;0;1;ten elegancki sposób
+769;4;0;0;właśnie
+769;5;0;0;gości
+769;6;0;0;Jagodowe wakacje
+769;7;0;0;właśnie w ten elegancki sposób
+769;8;0;0;ja
+769;9;0;1;szanować gości
+769;10;0;0;Przyzwoitość
+769;11;0;0;.
+769;12;0;0;ja właśnie w ten elegancki sposób uszanuję Jagodowe wakacje
+769;13;0;0;Przyzwoitość każe szanować gości
+769;14;0;0;Przyzwoitość każe szanować gości i ja właśnie w ten elegancki sposób uszanuję Jagodowe wakacje .
+124;0;0;0;bardzo
+124;1;0;0;skórze
+124;2;1;1;świetną
+124;3;0;0;.
+124;4;0;0;bardzo długo
+124;5;0;0;na skórze
+124;6;0;0;się
+124;7;1;1;świetną perfumą
+124;8;0;0;Jest
+124;9;0;0;Jest świetną perfumą utrzymuje się na skórze bardzo długo .
+218;0;0;0;miesięcy
+218;1;0;0;około
+218;2;0;0;około 10 miesięcy
+218;3;0;0;.
+218;4;0;0;na około 10 miesięcy
+218;5;0;0;spokojnie
+218;6;1;0;wystarcza spokojnie na około 10 miesięcy .
+1074;0;0;0;wszystkich
+1074;1;0;0;wszystkich zapachów
+1074;2;0;0;naprawdę
+1074;3;0;1;wśród wszystkich zapachów
+1074;4;0;0;naprawdę świecący
+1074;5;0;0;.
+1074;6;1;1;naprawdę świecący kryształ wśród wszystkich zapachów
+1074;7;0;0;To naprawdę świecący kryształ wśród wszystkich zapachów .
+559;0;0;0;naprawdę
+559;1;0;0;.
+559;2;1;1;naprawdę super
+559;3;0;0;Stanik
+559;4;0;1;Stanik jest naprawdę super .
+501;0;0;0;pewnością
+501;1;0;0;z pewnością
+501;2;0;1;nasz
+501;3;0;0;nim
+501;4;0;0;się
+501;5;0;0;nasz partner z pewnością
+501;6;0;0;,
+501;7;0;0;, nasz partner z pewnością zainteresuje się nim
+501;8;0;0;taki
+501;9;0;0;taki biustonosz , nasz partner z pewnością zainteresuje się nim
+501;10;0;0;tym
+501;11;0;0;.
+501;12;0;0;tym zakładając taki biustonosz , nasz partner z pewnością zainteresuje się nim
+501;13;0;0;Poza tym zakładając taki biustonosz , nasz partner z pewnością zainteresuje się nim .
+74;0;0;0;każdym
+74;1;0;0;bardzo
+74;2;0;0;każdym szczególe
+74;3;0;0;bardzo dokładnie
+74;4;0;0;jakościowo
+74;5;1;1;doskonały
+74;6;0;0;w każdym szczególe
+74;7;0;1;bardzo dokładnie wykończony
+74;8;0;0;Biustonosz
+74;9;0;0;.
+74;10;1;1;w każdym szczególe jest doskonały jakościowo
+74;11;0;1;Biustonosz jest bardzo dokładnie wykończony
+74;12;0;0;Biustonosz jest bardzo dokładnie wykończony , w każdym szczególe jest doskonały jakościowo .
+964;0;0;0;oczu
+964;1;0;0;oderwać oczu
+964;2;0;0;nie
+964;3;0;0;którego
+964;4;1;1;nie można oderwać oczu
+964;5;0;0;od którego
+964;6;0;0;,
+964;7;1;1;, od którego poprostu nie można oderwać oczu
+964;8;0;0;upem
+964;9;1;1;efektownym
+964;10;1;1;efektownym push upem , od którego poprostu nie można oderwać oczu
+964;11;0;0;przodzie
+964;12;1;1;z efektownym push upem , od którego poprostu nie można oderwać oczu
+964;13;0;0;na przodzie
+964;14;0;0;satynowa
+964;15;1;1;tu z efektownym push upem , od którego poprostu nie można oderwać oczu
+964;16;0;0;się
+964;17;0;0;słodko
+964;18;0;0;satynowa kokardka na przodzie
+964;19;0;0;.
+964;20;1;1;satynowa kokardka na przodzie słodko komponuje się tu z efektownym push upem , od którego poprostu nie można oderwać oczu
+964;21;0;0;Mała
+964;22;0;0;Mała , satynowa kokardka na przodzie słodko komponuje się tu z efektownym push upem , od którego poprostu nie można oderwać oczu .
+612;0;0;0;każdej
+612;1;0;0;prezent
+612;2;0;0;każdej pani
+612;3;0;0;się
+612;4;0;0;napewno
+612;5;0;0;na prezent
+612;6;0;0;.
+612;7;1;1;napewno spodoba się każdej pani
+612;8;1;1;Polecam na prezent
+612;9;0;0;Polecam na prezent , napewno spodoba się każdej pani .
+1189;0;0;1;wierny
+1189;1;0;0;ofiarach
+1189;2;0;0;.
+1189;3;0;1;wierny pies
+1189;4;0;0;czasem
+1189;5;0;0;tylko
+1189;6;0;0;Po ofiarach
+1189;7;0;0;Po ofiarach tylko czasem zawyje wierny pies .
+378;0;1;0;wysoka
+378;1;0;0;marka
+378;2;0;0;ta
+378;3;0;1;wysoka ale
+378;4;0;0;!
+378;5;0;0;warta
+378;6;0;0;tego
+378;7;-1;0;Cena wysoka ale ta marka
+378;8;0;0;Cena wysoka ale ta marka jest tego warta !
+727;0;0;0;równocześnie
+727;1;0;0;bardzo
+727;2;1;0;równocześnie sexowny
+727;3;1;1;bardzo elegancki
+727;4;0;0;.
+727;5;1;0;bardzo elegancki a równocześnie sexowny
+727;6;0;0;Biustonosz bardzo elegancki a równocześnie sexowny .
+628;0;0;0;cały
+628;1;0;0;cały dzień
+628;2;0;0;Jedno
+628;3;0;0;.
+628;4;0;0;na cały dzień
+628;5;0;0;Jedno psiuknięcie
+628;6;1;0;Jedno psiuknięcie wystarczy na cały dzień .
+736;0;0;0;każdego
+736;1;0;0;każdego mężczyzny
+736;2;0;0;.
+736;3;0;0;dla każdego mężczyzny
+736;4;1;1;Polecam dla każdego mężczyzny .
+635;0;0;0;nasze
+635;1;0;0;flakonu
+635;2;-1;0;Matowe
+635;3;0;0;.
+635;4;0;0;nasze emocje
+635;5;0;0;Matowe szkło flakonu
+635;6;0;0;Matowe szkło flakonu chłodzi nasze emocje .
+633;0;0;0;bardzo
+633;1;1;1;bardzo dobrze
+633;2;0;0;piersi
+633;3;1;1;Założony bardzo dobrze
+633;4;0;0;.
+633;5;0;0;układa piersi
+633;6;1;1;Założony bardzo dobrze modeluje
+633;7;0;1;Założony bardzo dobrze modeluje i układa piersi .
+658;0;0;0;codziennego
+658;1;1;1;wyjątkowe
+658;2;0;0;codziennego użytku
+658;3;1;1;wyjątkowe wieczory
+658;4;0;0;do codziennego użytku
+658;5;1;0;na wyjątkowe wieczory
+658;6;0;0;.
+658;7;1;1;na wyjątkowe wieczory niż do codziennego użytku
+658;8;0;0;Bardziej na wyjątkowe wieczory niż do codziennego użytku .
+797;0;1;1;godny
+797;1;0;0;.
+797;2;1;1;godny pozazdroszczenia
+797;3;0;1;Zapach godny pozazdroszczenia .
+698;0;1;1;nowoczesnej
+698;1;1;0;kobiety nowoczesnej
+698;2;1;0;dla kobiety nowoczesnej
+698;3;1;1;stworzony dla kobiety nowoczesnej
+698;4;0;0;bardzo
+698;5;1;1;Gabbana stworzony dla kobiety nowoczesnej
+698;6;0;0;bardzo kobiecej
+698;7;0;0;,
+698;8;1;1;& Gabbana stworzony dla kobiety nowoczesnej
+698;9;0;0;.
+698;10;1;1;Dolce & Gabbana stworzony dla kobiety nowoczesnej , bardzo kobiecej
+670;0;0;0;nierządu
+670;1;0;0;do nierządu
+670;2;0;0;przymuszanym do nierządu
+670;3;0;0;zwabionym
+670;4;0;0;zagranicy
+670;5;0;0;,
+670;6;0;0;zwabionym i przymuszanym do nierządu
+670;7;0;0;,
+670;8;0;0;z zagranicy
+670;9;0;1;młodym
+670;10;0;0;.
+670;11;0;0;paszporty
+670;12;0;0;sutenerzy
+670;13;0;0;młodym kobietom z zagranicy , zwabionym i przymuszanym do nierządu ,
+670;14;0;0;Zazwyczaj
+670;15;0;0;Zazwyczaj młodym kobietom z zagranicy , zwabionym i przymuszanym do nierządu , sutenerzy odbierają paszporty .
+221;0;0;0;randki
+221;1;0;0;prezent
+221;2;0;0;prezent i randki
+221;3;0;0;.
+221;4;0;1;na prezent i randki
+221;5;1;1;Idealny na prezent i randki .
+1148;0;1;1;najwyższej
+1148;1;1;0;najwyższej półki
+1148;2;0;1;najdroższe
+1148;3;0;0;nie
+1148;4;1;1;z najwyższej półki
+1148;5;0;0;.
+1148;6;1;1;z najwyższej półki nie są najdroższe
+1148;7;0;0;Perfumy
+1148;8;0;1;Perfumy choć z najwyższej półki nie są najdroższe .
+1042;0;1;1;dorodnym
+1042;1;0;0;dorodnym biuście
+1042;2;0;1;o dorodnym biuście
+1042;3;0;0;pań o dorodnym biuście
+1042;4;0;1;dla pań o dorodnym biuście
+1042;5;0;1;myślą dla pań o dorodnym biuście
+1042;6;0;0;.
+1042;7;0;1;z myślą dla pań o dorodnym biuście
+1042;8;0;1;Przygotowany z myślą dla pań o dorodnym biuście .
+321;0;1;1;ślicznym
+321;1;0;0;zdobione
+321;2;1;1;zdobione ślicznym haftem
+321;3;0;0;.
+321;4;1;1;ramiączka zdobione ślicznym haftem
+321;5;0;0;się
+321;6;0;1;Podobają się ramiączka zdobione ślicznym haftem .
+712;0;0;0;jakie
+712;1;0;0;Chanel jakie
+712;2;1;1;najlepsze
+712;3;0;0;mnie
+712;4;0;0;.
+712;5;0;0;m
+712;6;1;1;najlepsze perfumy Chanel jakie
+712;7;0;0;Według mnie
+712;8;0;0;Według mnie najlepsze perfumy Chanel jakie miała m .
+226;0;0;0;większym
+226;1;0;0;większym biustem
+226;2;0;0;z większym biustem
+226;3;0;0;kobiet z większym biustem
+226;4;0;0;dla kobiet z większym biustem
+226;5;0;0;Bardzo
+226;6;0;0;.
+226;7;0;1;przeznaczony dla kobiet z większym biustem
+226;8;1;1;Bardzo wygodny
+226;9;0;1;Bardzo wygodny bistonosz przeznaczony dla kobiet z większym biustem .
+667;0;1;1;ładny
+667;1;0;1;solidnie
+667;2;0;0;jest
+667;3;1;1;ładny wygląd
+667;4;0;0;bardzo
+667;5;0;0;.
+667;6;1;1;jest solidnie wykonany
+667;7;1;1;Ma bardzo ładny wygląd
+667;8;0;1;Ma bardzo ładny wygląd i jest solidnie wykonany .
+334;0;0;0;dość
+334;1;1;1;dość przystępnej
+334;2;0;0;górnej
+334;3;1;1;dość przystępnej cenie
+334;4;1;0;górnej półki
+334;5;0;0;już
+334;6;1;1;o dość przystępnej cenie
+334;7;0;0;,
+334;8;0;0;,
+334;9;1;0;już z górnej półki
+334;10;0;0;które
+334;11;0;0;,
+334;12;1;1;, że o dość przystępnej cenie
+334;13;1;0;, które są już z górnej półki ,
+334;14;0;0;.
+334;15;1;1;uważam , że o dość przystępnej cenie
+334;16;1;0;Perfumy , które są już z górnej półki ,
+334;17;0;1;Perfumy , które są już z górnej półki , ale uważam , że o dość przystępnej cenie .
+1112;0;0;0;najbardziej
+1112;1;0;0;chyba
+1112;2;0;0;chyba najbardziej znanych
+1112;3;0;0;Gio
+1112;4;0;0;tej
+1112;5;0;0;najchętniej
+1112;6;0;0;to chyba najbardziej znanych
+1112;7;0;0;di Gio
+1112;8;0;0;tej firmy
+1112;9;1;1;najchętniej używany
+1112;10;0;0;Pour to chyba najbardziej znanych
+1112;11;0;0;Acqua di Gio
+1112;12;0;0;!
+1112;13;1;0;najchętniej używany zapach tej firmy
+1112;14;0;0;,
+1112;15;0;0;Armani Acqua di Gio Pour to chyba najbardziej znanych
+1112;16;0;0;Armani Acqua di Gio Pour to chyba najbardziej znanych , i najchętniej używany zapach tej firmy !
+1011;0;1;1;fajny
+1011;1;0;0;kolory
+1011;2;1;1;fajny fason
+1011;3;0;0;.
+1011;4;1;1;fajny fason i kolory
+1011;5;0;0;bardzo
+1011;6;0;0;Ma bardzo fajny fason i kolory .
+750;0;0;0;jej
+750;1;0;0;naprawdę
+750;2;-1;0;jej śmierci
+750;3;0;0;swoim
+750;4;0;0;,
+750;5;0;1;naprawdę niemały
+750;6;0;0;,
+750;7;0;0;testamencie
+750;8;0;0;to
+750;9;0;0;rodzina
+750;10;0;0;po jej śmierci
+750;11;0;0;że
+750;12;0;0;,
+750;13;0;0;swoim kotom
+750;14;0;0;majątek , naprawdę niemały ,
+750;15;0;0;w testamencie
+750;16;0;0;, że po jej śmierci rodzina to zakwestionuje
+750;17;0;0;się
+750;18;0;0;zapisać w testamencie majątek , naprawdę niemały , swoim kotom
+750;19;0;0;by
+750;20;0;0;.
+750;21;0;0;obawia się , że po jej śmierci rodzina to zakwestionuje
+750;22;0;0;Chciała by zapisać w testamencie majątek , naprawdę niemały , swoim kotom
+750;23;0;0;Chciała by zapisać w testamencie majątek , naprawdę niemały , swoim kotom i obawia się , że po jej śmierci rodzina to zakwestionuje .
+346;0;0;0;wytrzymały
+346;1;1;1;wygodny
+346;2;0;0;niezwykle
+346;3;0;0;tym
+346;4;1;1;niezwykle wygodny i wytrzymały
+346;5;0;0;przy tym
+346;6;0;0;biust
+346;7;0;0;idealnie
+346;8;0;0;Krój
+346;9;0;0;.
+346;10;1;0;jest przy tym niezwykle wygodny i wytrzymały
+346;11;1;1;Krój idealnie trzyma biust
+346;12;0;0;Krój idealnie trzyma biust , jest przy tym niezwykle wygodny i wytrzymały .
+1119;0;0;0;piersiami
+1119;1;0;0;między piersiami
+1119;2;0;0;odstępy
+1119;3;0;0;biust
+1119;4;0;0;.
+1119;5;0;0;zmniejsza odstępy między piersiami
+1119;6;0;0;Podkreśla biust
+1119;7;0;0;Podkreśla biust i zmniejsza odstępy między piersiami .
+587;0;0;0;dzikiego
+587;1;0;0;whiskey
+587;2;0;0;dzikiego zachodu
+587;3;0;0;przypominający whiskey
+587;4;0;0;z dzikiego zachodu
+587;5;0;0;drugiej
+587;6;-1;0;przypadkowy
+587;7;0;0;tu
+587;8;0;0;nie
+587;9;0;0;kolor przypominający whiskey
+587;10;0;0;coś z dzikiego zachodu
+587;11;0;0;z drugiej
+587;12;0;0;kolor przypominający whiskey nie jest tu przypadkowy
+587;13;0;0;z drugiej ma coś z dzikiego zachodu
+587;14;0;0;z drugiej ma coś z dzikiego zachodu , kolor przypominający whiskey nie jest tu przypadkowy
+587;15;0;0;,
+587;16;0;0;)
+587;17;0;0;-
+587;18;0;0;- ) , a z drugiej ma coś z dzikiego zachodu , kolor przypominający whiskey nie jest tu przypadkowy
+587;19;0;0;męskim
+587;20;0;0;(
+587;21;0;0;jednej
+587;22;0;0;( męskim : - ) , a z drugiej ma coś z dzikiego zachodu , kolor przypominający whiskey nie jest tu przypadkowy
+587;23;0;0;starym
+587;24;0;0;jednej strony
+587;25;0;0;.
+587;26;0;0;starym klasztorem ( męskim : - ) , a z drugiej ma coś z dzikiego zachodu , kolor przypominający whiskey nie jest tu przypadkowy
+587;27;0;1;Z jednej strony
+587;28;0;0;Z jednej strony pachnie starym klasztorem ( męskim : - ) , a z drugiej ma coś z dzikiego zachodu , kolor przypominający whiskey nie jest tu przypadkowy .
+1169;0;0;0;się
+1169;1;0;0;nie
+1169;2;0;0;zwyczajny
+1169;3;0;1;nie wyróżniający się
+1169;4;0;-1;zwyczajny niczym
+1169;5;0;0;.
+1169;6;0;1;nie wyróżniający się staniczek
+1169;7;0;-1;na zwyczajny niczym
+1169;8;0;0;Wygląda na zwyczajny niczym nie wyróżniający się staniczek .
+919;0;0;0;doskonale
+919;1;0;0;je
+919;2;0;0;piersi
+919;3;1;1;idealne
+919;4;0;0;.
+919;5;1;1;podtrzymuje je doskonale
+919;6;1;1;idealne układa piersi
+919;7;0;1;idealne układa piersi i podtrzymuje je doskonale .
+780;0;0;0;większym
+780;1;0;0;bardzo
+780;2;0;0;większym biuście
+780;3;0;0;,
+780;4;1;1;bardzo udany
+780;5;0;0;biust
+780;6;1;1;świetnie
+780;7;0;0;przy większym biuście
+780;8;0;0;się
+780;9;1;1;bardzo udany model ,
+780;10;0;0;.
+780;11;1;1;świetnie utrzymuje biust
+780;12;1;1;bardzo udany model , sprawdza się przy większym biuście
+780;13;0;1;bardzo udany model , sprawdza się przy większym biuście , świetnie utrzymuje biust .
+68;0;-1;0;nieszczęściem
+68;1;0;-1;dotkniętego nieszczęściem
+68;2;0;0;skrzywdzonego
+68;3;0;0;skrzywdzonego , dotkniętego nieszczęściem
+68;4;0;0;pozycji skrzywdzonego , dotkniętego nieszczęściem
+68;5;0;0;.
+68;6;0;0;w pozycji skrzywdzonego , dotkniętego nieszczęściem
+68;7;0;0;się
+68;8;0;0;Zasklepiamy się w pozycji skrzywdzonego , dotkniętego nieszczęściem .
+1135;0;0;0;jędrne
+1135;1;1;1;pełne
+1135;2;0;1;pełne i jędrne
+1135;3;0;0;.
+1135;4;0;1;na pełne i jędrne
+1135;5;0;0;Piersi
+1135;6;0;1;Piersi wyglądają na pełne i jędrne .
+1086;0;1;1;śliczny
+1086;1;0;0;ten
+1086;2;0;0;.
+1086;3;1;1;ten śliczny flakonik
+1086;4;0;0;No
+1086;5;0;1;No i ten śliczny flakonik .
+141;0;0;0;siebie
+141;1;0;0;wzajemnego
+141;2;0;0;wzajemnego przyciągania siebie
+141;3;1;0;fascynacji
+141;4;0;0;ludzkiej
+141;5;0;1;fascynacji i wzajemnego przyciągania siebie
+141;6;0;1;ludzkiej miłości
+141;7;0;0;pierwszych
+141;8;0;0;tych
+141;9;0;1;siłę fascynacji i wzajemnego przyciągania siebie
+141;10;0;1;smaku ludzkiej miłości
+141;11;0;0;tych pierwszych związkach
+141;12;0;0;.
+141;13;0;1;odkrywają siłę fascynacji i wzajemnego przyciągania siebie
+141;14;0;0;doświadczają smaku ludzkiej miłości
+141;15;0;0;nastolatki
+141;16;0;0;W tych pierwszych związkach
+141;17;0;0;W tych pierwszych związkach nastolatki doświadczają smaku ludzkiej miłości , odkrywają siłę fascynacji i wzajemnego przyciągania siebie .
+1192;0;0;1;umiarkowanych
+1192;1;0;0;serca
+1192;2;0;0;umiarkowanych ilościach
+1192;3;-1;0;chorobami serca
+1192;4;0;0;w umiarkowanych ilościach
+1192;5;0;0;przed chorobami serca
+1192;6;0;0;nas
+1192;7;0;0;,
+1192;8;0;0;spożywana w umiarkowanych ilościach
+1192;9;0;0;,
+1192;10;0;0;.
+1192;11;0;0;chronić nas przed chorobami serca
+1192;12;0;0;Czekolada , spożywana w umiarkowanych ilościach ,
+1192;13;0;0;Czekolada , spożywana w umiarkowanych ilościach , może chronić nas przed chorobami serca .
+322;0;0;0;całym
+322;1;0;0;całym dniu
+322;2;0;0;.
+322;3;0;0;po całym dniu
+322;4;0;0;nawet
+322;5;0;0;Nie
+322;6;-1;0;Nie drażni nawet po całym dniu .
+284;0;1;1;wyjątkowej
+284;1;0;0;każdej
+284;2;0;0;.
+284;3;1;0;każdej wyjątkowej kobiety
+284;4;0;0;Dla każdej wyjątkowej kobiety .
+783;0;0;0;zimowy
+783;1;0;0;okres zimowy
+783;2;0;0;na okres zimowy
+783;3;0;0;raczej
+783;4;0;0;.
+783;5;1;1;raczej polecam na okres zimowy
+783;6;0;1;trwały
+783;7;0;0;trwały i raczej polecam na okres zimowy .
+278;0;0;0;bardzo
+278;1;1;1;bardzo ciekawym
+278;2;1;1;bardzo ciekawym kształcie
+278;3;1;0;w bardzo ciekawym kształcie
+278;4;0;0;Kolejnym
+278;5;0;0;.
+278;6;1;0;opakowanie w bardzo ciekawym kształcie
+278;7;1;1;Kolejnym plusem
+278;8;0;1;Kolejnym plusem jest opakowanie w bardzo ciekawym kształcie .
+726;0;1;1;pełen
+726;1;0;0;wolności
+726;2;0;1;pełen seksu
+726;3;0;0;Men
+726;4;1;1;pełen seksu i wolności
+726;5;0;1;For Men
+726;6;0;0;.
+726;7;1;1;zapach pełen seksu i wolności
+726;8;0;1;2U For Men
+726;9;0;0;In
+726;10;0;0;CK
+726;11;0;0;CK In 2U For Men to zapach pełen seksu i wolności .
+26;0;1;1;fajny
+26;1;0;0;.
+26;2;1;1;fajny design
+26;3;0;0;Flakonik
+26;4;0;0;Flakonik ma fajny design .
+740;0;0;0;kobiety
+740;1;0;0;dla kobiety
+740;2;0;0;prezent dla kobiety
+740;3;0;0;,
+740;4;0;0;te
+740;5;0;0;.
+740;6;0;0;, na prezent dla kobiety
+740;7;0;0;te perfmy
+740;8;1;1;Polecam te perfmy , na prezent dla kobiety .
+1097;0;1;1;młodych
+1097;1;0;0;młodych dziewczyn
+1097;2;0;0;raczej
+1097;3;0;0;kwiatowy
+1097;4;0;0;Orzeźwiający
+1097;5;0;0;.
+1097;6;0;0;raczej dla młodych dziewczyn
+1097;7;1;0;Orzeźwiający i kwiatowy
+1097;8;0;0;Orzeźwiający i kwiatowy , raczej dla młodych dziewczyn .
+580;0;0;0;protestów
+580;1;0;0;pewne
+580;2;0;-1;eskalacji protestów
+580;3;1;1;pewne korzyści
+580;4;0;0;z eskalacji protestów
+580;5;0;0;że
+580;6;0;0;,
+580;7;0;0;, że z eskalacji protestów czerpie pewne korzyści
+580;8;0;0;nawet
+580;9;0;0;.
+580;10;0;0;nawet powiedzieć , że z eskalacji protestów czerpie pewne korzyści
+580;11;0;0;Można nawet powiedzieć , że z eskalacji protestów czerpie pewne korzyści .
+733;0;0;0;mnie
+733;1;0;0;zupełnie
+733;2;0;0;dla mnie
+733;3;0;0;.
+733;4;-1;-1;dla mnie odrzucający zupełnie
+733;5;0;0;Zapach
+733;6;0;0;Zapach jak dla mnie odrzucający zupełnie .
+675;0;0;0;różnych
+675;1;0;0;zapasie
+675;2;0;0;różnych perfum
+675;3;0;0;w zapasie
+675;4;0;0;zawsze
+675;5;0;0;Calvin
+675;6;0;0;z różnych perfum
+675;7;0;0;.
+675;8;0;0;Calvin zawsze jest w zapasie
+675;9;0;0;,
+675;10;0;0;Korzystam z różnych perfum
+675;11;0;0;Korzystam z różnych perfum , ale Calvin zawsze jest w zapasie .
+550;0;0;0;grejpfruta
+550;1;0;0;mi
+550;2;0;0;owocowy
+550;3;0;0;,
+550;4;0;0;przypominający mi grejpfruta
+550;5;0;0;, owocowy ,
+550;6;1;0;świeży
+550;7;1;0;zapach świeży , owocowy , przypominający mi grejpfruta
+550;8;0;0;Cherie
+550;9;1;0;, zapach świeży , owocowy , przypominający mi grejpfruta
+550;10;0;0;Dior Cherie
+550;11;0;0;.
+550;12;1;1;Miss Dior Cherie , zapach świeży , owocowy , przypominający mi grejpfruta
+550;13;0;0;Miss Dior Cherie , to zapach świeży , owocowy , przypominający mi grejpfruta .
+519;0;1;0;prześliczny
+519;1;0;0;mnie
+519;2;0;0;.
+519;3;1;0;prześliczny biustonosz
+519;4;0;0;jest
+519;5;0;0;Według mnie
+519;6;0;0;Według mnie jest to prześliczny biustonosz .
+475;0;1;0;intensywny
+475;1;0;0;,
+475;2;0;0;, intensywny ,
+475;3;0;0;zapach , intensywny ,
+475;4;0;0;.
+475;5;0;0;się
+475;6;0;0;długo
+475;7;1;0;pieknyi zapach , intensywny ,
+475;8;0;0;Bardzo
+475;9;1;0;Bardzo pieknyi zapach , intensywny , długo utrzymujący się .
+371;0;0;0;zmysłowej
+371;1;0;0;kobiety zmysłowej
+371;2;0;1;dla kobiety zmysłowej
+371;3;1;1;idealne dla kobiety zmysłowej
+371;4;0;0;.
+371;5;1;1;wprost idealne dla kobiety zmysłowej
+371;6;0;1;Perfumy wprost idealne dla kobiety zmysłowej .
+724;0;0;0;cena
+724;1;0;0;wiec
+724;2;0;0;wiec i cena
+724;3;1;0;Zróżnicowana
+724;4;0;0;.
+724;5;0;0;każdemu
+724;6;0;0;będzie
+724;7;0;1;Zróżnicowana pojemność wiec i cena
+724;8;0;0;Zróżnicowana pojemność wiec i cena będzie odpowiadać każdemu .
+1007;0;0;0;polską
+1007;1;0;0;polską rzeczywistość
+1007;2;0;0;na polską rzeczywistość
+1007;3;0;0;się
+1007;4;0;0;nerwy
+1007;5;0;0;składające się na polską rzeczywistość
+1007;6;0;0;na nerwy
+1007;7;0;0;nam
+1007;8;0;0;fakty składające się na polską rzeczywistość
+1007;9;0;0;Polskę
+1007;10;0;0;.
+1007;11;0;0;fakty składające się na polską rzeczywistość działają nam na nerwy
+1007;12;0;0;,
+1007;13;1;0;Kochamy Polskę
+1007;14;0;0;Kochamy Polskę , lecz fakty składające się na polską rzeczywistość działają nam na nerwy .
+252;0;0;0;nasza
+252;1;0;0;którym
+252;2;0;0;nasza placówka
+252;3;0;0;dzięki którym
+252;4;0;0;,
+252;5;0;1;, dzięki którym powstała nasza placówka
+252;6;0;0;tym
+252;7;0;1;serdeczne
+252;8;0;0;.
+252;9;0;0;wszystkim tym , dzięki którym powstała nasza placówka
+252;10;0;0;serdeczne podziękowania
+252;11;0;0;Składamy serdeczne podziękowania wszystkim tym , dzięki którym powstała nasza placówka .
+49;0;1;1;idealny
+49;1;0;0;.
+49;2;1;1;zapach idealny
+49;3;0;0;-
+49;4;0;0;mnie
+49;5;0;0;Według mnie - zapach idealny .
+1072;0;0;0;dość
+1072;1;1;1;dość ciekawy
+1072;2;0;0;.
+1072;3;1;1;dość ciekawy wygląd
+1072;4;0;1;Posiada dość ciekawy wygląd .
+265;0;0;0;kolacji
+265;1;0;0;przy kolacji
+265;2;0;0;czasu
+265;3;0;0;spędzania czasu przy kolacji
+265;4;0;0;do spędzania czasu przy kolacji
+265;5;0;1;chętny do spędzania czasu przy kolacji
+265;6;0;0;wesolutki
+265;7;0;0;.
+265;8;0;0;wesolutki , chętny do spędzania czasu przy kolacji
+265;9;0;0;Jest wesolutki , chętny do spędzania czasu przy kolacji .
+22;0;0;0;właśnie
+22;1;0;0;toaletowej
+22;2;0;0;właśnie tej
+22;3;0;0;właśnie tej wody toaletowej
+22;4;0;0;które
+22;5;0;0;,
+22;6;0;0;, które używają właśnie tej wody toaletowej
+22;7;0;0;kobiet , które używają właśnie tej wody toaletowej
+22;8;0;0;.
+22;9;0;0;wiele kobiet , które używają właśnie tej wody toaletowej
+22;10;1;0;Znam wiele kobiet , które używają właśnie tej wody toaletowej .
+295;0;0;0;tej
+295;1;0;0;tej pory
+295;2;0;0;czynienia
+295;3;0;0;do tej pory
+295;4;0;0;do czynienia
+295;5;0;1;jakimi do tej pory
+295;6;0;0;jakimi do tej pory miałem do czynienia
+295;7;0;0;z jakimi do tej pory miałem do czynienia
+295;8;0;0;męskich z jakimi do tej pory miałem do czynienia
+295;9;1;1;najlepszych
+295;10;1;1;najlepszych perfum męskich z jakimi do tej pory miałem do czynienia
+295;11;0;0;.
+295;12;1;1;z najlepszych perfum męskich z jakimi do tej pory miałem do czynienia
+295;13;0;0;Jeden z najlepszych perfum męskich z jakimi do tej pory miałem do czynienia .
+130;0;0;0;Ten
+130;1;0;0;.
+130;2;1;0;niespotykany
+130;3;0;0;Ten biustonosz
+130;4;0;0;Ten biustonosz jest niespotykany .
+605;0;0;0;każdego
+605;1;0;0;każdego rodzaju
+605;2;0;0;prezent
+605;3;0;0;na każdego rodzaju
+605;4;1;1;świetny
+605;5;0;0;Lacoste
+605;6;0;0;.
+605;7;1;0;świetny wybór na każdego rodzaju prezent
+605;8;0;0;Lacoste Essential
+605;9;0;0;Lacoste Essential to świetny wybór na każdego rodzaju prezent .
+502;0;1;1;prawdziwy
+502;1;0;0;perfumerii
+502;2;1;1;prawdziwy zapach
+502;3;0;0;.
+502;4;0;0;do perfumerii
+502;5;0;1;poczuć prawdziwy zapach
+502;6;0;0;Chcecie
+502;7;0;0;Chcecie poczuć prawdziwy zapach idźcie do perfumerii .
+1187;0;0;0;prywatę
+1187;1;0;-1;niekompetencję
+1187;2;0;0;niekompetencję i prywatę
+1187;3;0;0;mu
+1187;4;0;0;,
+1187;5;0;0;ręce
+1187;6;0;0;natomiast
+1187;7;0;0;awanturą
+1187;8;0;0;.
+1187;9;0;0;, zarzucając mu niekompetencję i prywatę
+1187;10;0;0;na ręce
+1187;11;0;0;Zarządowi
+1187;12;0;0;wszyscy
+1187;13;0;0;Przed awanturą natomiast
+1187;14;0;0;Przed awanturą natomiast wszyscy Zarządowi patrzyli na ręce , zarzucając mu niekompetencję i prywatę .
+40;0;0;0;osób
+40;1;0;0;tak
+40;2;0;0;którymi
+40;3;0;0;się
+40;4;0;0;tak dużo osób
+40;5;0;0;nad którymi
+40;6;0;0;,
+40;7;0;0;Bardzo
+40;8;0;0;.
+40;9;1;0;, nad którymi tak dużo osób się zachwyca
+40;10;1;1;Bardzo znane
+40;11;0;0;Bardzo znane perfumy , nad którymi tak dużo osób się zachwyca .
+643;0;0;0;.
+643;1;0;0;nie
+643;2;0;0;już
+643;3;1;0;Talent
+643;4;0;1;Talent już nie wystarcza .
+235;0;0;0;wszystkich
+235;1;0;0;wszystkich zapachów
+235;2;0;0;naprawdę
+235;3;0;0;wśród wszystkich zapachów
+235;4;0;0;naprawdę świecący
+235;5;0;0;.
+235;6;1;0;naprawdę świecący kryształ wśród wszystkich zapachów
+235;7;0;0;To naprawdę świecący kryształ wśród wszystkich zapachów .
+268;0;1;1;odpowiedni
+268;1;1;1;odpowiedni kształt
+268;2;0;0;mu
+268;3;0;0;biust
+268;4;0;0;Idealnie
+268;5;0;0;.
+268;6;1;1;nadaje mu odpowiedni kształt
+268;7;1;1;Idealnie unosi biust
+268;8;0;1;Idealnie unosi biust i nadaje mu odpowiedni kształt .
+637;0;0;0;nim
+637;1;0;0;w nim
+637;2;1;1;pełne
+637;3;0;0;podkreślone
+637;4;0;0;delikatnie
+637;5;0;0;okrągłe
+637;6;0;0;Piersi w nim
+637;7;0;0;.
+637;8;0;0;delikatnie podkreślone i pełne
+637;9;0;0;Piersi w nim są okrągłe
+637;10;0;0;Piersi w nim są okrągłe , delikatnie podkreślone i pełne .
+195;0;0;0;flakonu
+195;1;-1;-1;okropny
+195;2;0;0;.
+195;3;-1;0;okropny design flakonu
+195;4;0;0;tym
+195;5;0;0;Poza tym okropny design flakonu .
+222;0;0;0;powietrza
+222;1;-1;0;ostry
+222;2;0;0;.
+222;3;0;1;ostry odświeżacz powietrza
+222;4;0;0;Zapachem
+222;5;0;1;Zapachem przypominają ostry odświeżacz powietrza .
+1022;0;0;0;swojej
+1022;1;0;0;swojej ceny
+1022;2;0;0;drogi
+1022;3;1;1;wart swojej ceny
+1022;4;0;0;pewno
+1022;5;0;0;,
+1022;6;-1;0;drogi zapach
+1022;7;0;0;to
+1022;8;0;0;Million
+1022;9;0;0;1
+1022;10;0;0;.
+1022;11;1;0;na pewno wart swojej ceny
+1022;12;-1;0;1 Million to drogi zapach , ale
+1022;13;0;0;Rabanne
+1022;14;0;0;Paco Rabanne 1 Million to drogi zapach , ale na pewno wart swojej ceny .
+294;0;0;0;lato
+294;1;0;0;.
+294;2;0;0;na lato
+294;3;1;1;idealna
+294;4;0;0;Woda idealna na lato .
+821;0;0;0;piersi
+821;1;1;1;Świetnie
+821;2;0;0;.
+821;3;0;0;eksponuje piersi
+821;4;1;1;Świetnie unosi
+821;5;0;0;Świetnie unosi i eksponuje piersi .
+129;0;0;0;choć
+129;1;1;1;choć efektowna
+129;2;0;0;nie
+129;3;0;1;reklama choć efektowna
+129;4;0;0;że
+129;5;0;0;,
+129;6;0;0;.
+129;7;0;1;, że reklama choć efektowna nie działa
+129;8;0;0;się
+129;9;0;0;Czasem
+129;10;0;0;Czasem okazuje się , że reklama choć efektowna nie działa .
+1095;0;0;0;niezwykle
+1095;1;1;1;niezwykle trwały
+1095;2;0;0;.
+1095;3;0;1;intrygujący
+1095;4;1;1;Zapach niezwykle trwały
+1095;5;0;1;Zapach niezwykle trwały i intrygujący .
+680;0;0;0;dość
+680;1;0;1;dość wysokiej
+680;2;0;0;dość wysokiej ceny
+680;3;0;0;pomimo dość wysokiej ceny
+680;4;0;0;.
+680;5;0;1;sexy
+680;6;0;0;bardzo
+680;7;0;0;Biustonosz pomimo dość wysokiej ceny
+680;8;0;1;Biustonosz pomimo dość wysokiej ceny wygląda bardzo sexy .
+994;0;0;0;nosa
+994;1;0;0;nie
+994;2;0;0;kwiatową
+994;3;1;1;intensywną
+994;4;0;0;nie podrażniającą nosa
+994;5;0;0;,
+994;6;0;0;intensywną , kwiatową
+994;7;0;0;.
+994;8;0;0;, jednak nie podrażniającą nosa
+994;9;0;0;intensywną , kwiatową woń
+994;10;0;0;Mają intensywną , kwiatową woń , jednak nie podrażniającą nosa .
+105;0;0;0;Chopina
+105;1;0;0;serce Chopina
+105;2;0;0;gdzie
+105;3;0;0;,
+105;4;0;0;.
+105;5;0;0;, gdzie spoczywa serce Chopina
+105;6;0;0;św .
+105;7;0;0;Wizytek
+105;8;0;0;kompozytora
+105;9;0;0;św . Krzyża , gdzie spoczywa serce Chopina
+105;10;0;0;sióstr Wizytek
+105;11;-1;0;śmierci kompozytora
+105;12;0;0;sióstr Wizytek i św . Krzyża , gdzie spoczywa serce Chopina
+105;13;0;0;rocznicy śmierci kompozytora
+105;14;0;0;kościołach sióstr Wizytek i św . Krzyża , gdzie spoczywa serce Chopina
+105;15;0;0;święte
+105;16;0;0;okazji rocznicy śmierci kompozytora
+105;17;0;0;niedzielę
+105;18;1;0;.
+105;19;0;0;w kościołach sióstr Wizytek i św . Krzyża , gdzie spoczywa serce Chopina
+105;20;0;0;msze święte
+105;21;0;0;z okazji rocznicy śmierci kompozytora
+105;22;0;0;rano
+105;23;0;0;W niedzielę
+105;24;0;0;W niedzielę rano odprawiono z okazji rocznicy śmierci kompozytora msze święte w kościołach sióstr Wizytek i św . Krzyża , gdzie spoczywa serce Chopina .
+741;0;0;0;miseczek
+741;1;1;1;fajny
+741;2;0;0;.
+741;3;1;1;fajny kształt miseczek
+741;4;0;0;bardzo
+741;5;0;0;Ma bardzo fajny kształt miseczek .
+632;0;-1;0;bitemu
+632;1;0;0;,
+632;2;0;0;bitemu policjantowi
+632;3;0;0;który
+632;4;0;0;,
+632;5;0;1;, który pomógł bitemu policjantowi ,
+632;6;0;0;.
+632;7;0;0;pogróżki
+632;8;0;0;już
+632;9;0;0;Przechodzień , który pomógł bitemu policjantowi ,
+632;10;0;0;Przechodzień , który pomógł bitemu policjantowi , już dostaje pogróżki .
+8;0;0;0;mu
+8;1;0;0;stawianych mu
+8;2;-1;-1;stawianych mu zarzutów
+8;3;0;0;do stawianych mu zarzutów
+8;4;-1;0;się
+8;5;0;0;ksiądz
+8;6;0;0;czy
+8;7;0;0;,
+8;8;1;0;, czy ksiądz przyznał się do stawianych mu zarzutów
+8;9;0;0;Łodzi
+8;10;0;0;pytanie , czy ksiądz przyznał się do stawianych mu zarzutów
+8;11;0;0;śledztwa
+8;12;0;0;tym
+8;13;0;0;postępowania
+8;14;0;0;Kopania
+8;15;0;0;w Łodzi
+8;16;0;0;Okręgowej
+8;17;0;0;na pytanie , czy ksiądz przyznał się do stawianych mu zarzutów
+8;18;0;0;tym etapie śledztwa
+8;19;0;0;,
+8;20;1;1;dobrem postępowania
+8;21;0;0;się
+8;22;0;0;,
+8;23;0;0;Krzysztof Kopania
+8;24;0;0;Prokuratury Okręgowej w Łodzi
+8;25;0;0;.
+8;26;0;0;odpowiedzi na pytanie , czy ksiądz przyznał się do stawianych mu zarzutów
+8;27;0;0;na tym etapie śledztwa
+8;28;0;0;, zasłaniając się dobrem postępowania ,
+8;29;0;0;Rzecznik Prokuratury Okręgowej w Łodzi Krzysztof Kopania
+8;30;0;-1;Rzecznik Prokuratury Okręgowej w Łodzi Krzysztof Kopania , zasłaniając się dobrem postępowania , odmówił na tym etapie śledztwa odpowiedzi na pytanie , czy ksiądz przyznał się do stawianych mu zarzutów .
+273;0;1;1;ładnym
+273;1;1;1;ładnym kolorze
+273;2;0;0;.
+273;3;1;1;w ładnym kolorze
+273;4;0;0;Stanik
+273;5;0;0;Stanik jest w ładnym kolorze .
+392;0;0;0;mężczyzny
+392;1;0;0;dla mężczyzny
+392;2;0;0;toaletowa
+392;3;1;0;ponadczasowa
+392;4;0;0;.
+392;5;1;0;ponadczasowa woda toaletowa dla mężczyzny
+392;6;0;0;Zdecydowanie ponadczasowa woda toaletowa dla mężczyzny .
+1193;0;0;0;moralnym
+1193;1;0;0;nihilizmie moralnym
+1193;2;0;0;w nihilizmie moralnym
+1193;3;0;0;się
+1193;4;0;0;które
+1193;5;0;0;,
+1193;6;0;0;, które pogrążyły się w nihilizmie moralnym
+1193;7;0;0;naszych
+1193;8;0;0;kraje , które pogrążyły się w nihilizmie moralnym
+1193;9;0;1;naszych zasad
+1193;10;0;0;się
+1193;11;0;0;śmy
+1193;12;0;0;!
+1193;13;0;0;małpujemy kraje , które pogrążyły się w nihilizmie moralnym
+1193;14;0;0;Wyrzekli śmy się naszych zasad
+1193;15;0;0;Wyrzekli śmy się naszych zasad i małpujemy kraje , które pogrążyły się w nihilizmie moralnym !
+811;0;1;0;głębokich
+811;1;0;0;głębokich dekoltów
+811;2;0;0;do głębokich dekoltów
+811;3;0;0;go
+811;4;0;0;.
+811;5;0;0;go nosić do głębokich dekoltów
+811;6;0;0;Można go nosić do głębokich dekoltów .
+526;0;0;0;skórę
+526;1;0;0;w skórę
+526;2;0;0;się
+526;3;0;0;które
+526;4;0;0;,
+526;5;0;0;zbyt
+526;6;0;0;, które wbijają się w skórę
+526;7;-1;-1;zbyt twarde
+526;8;0;0;.
+526;9;-1;0;zbyt twarde fiszbiny , które wbijają się w skórę
+526;10;0;0;Ma zbyt twarde fiszbiny , które wbijają się w skórę .
+629;0;0;0;głucha
+629;1;0;0;bunt
+629;2;-1;-1;głucha złość
+629;3;0;0;.
+629;4;0;0;głucha złość i bunt
+629;5;0;0;Chwilami
+629;6;0;0;Chwilami ogarniały głucha złość i bunt .
+671;0;0;0;różu
+671;1;1;1;śliczny
+671;2;0;0;-
+671;3;1;0;- śliczny odcień różu
+671;4;0;0;kobiecy
+671;5;0;0;.
+671;6;1;0;kobiecy kolor - śliczny odcień różu
+671;7;0;0;bardzo
+671;8;0;0;Ma bardzo kobiecy kolor - śliczny odcień różu .
+330;0;0;0;ciała
+330;1;0;0;biust
+330;2;0;0;do ciała
+330;3;1;1;Dobrze
+330;4;0;0;.
+330;5;0;0;formuje biust
+330;6;1;0;Dobrze przylega do ciała
+330;7;0;0;Dobrze przylega do ciała i formuje biust .
+397;0;0;1;wyjątkowa
+397;1;0;0;.
+397;2;0;0;wyjątkowa kobieta
+397;3;0;0;To wyjątkowa kobieta .
+126;0;0;0;.
+126;1;1;1;genialny
+126;2;0;0;Biustonosz
+126;3;0;0;Biustonosz jest genialny .
+463;0;0;0;jakie
+463;1;1;1;najlepszych
+463;2;1;1;najlepszych modeli jakie
+463;3;1;1;z najlepszych modeli jakie
+463;4;0;0;.
+463;5;0;0;m
+463;6;1;1;Jeden z najlepszych modeli jakie
+463;7;0;0;Jeden z najlepszych modeli jakie miała m .
+984;0;1;0;silny
+984;1;0;0;)
+984;2;0;0;silny katar
+984;3;0;0;że
+984;4;0;0;,
+984;5;0;0;nich
+984;6;0;0;, że mam silny katar )
+984;7;0;0;(
+984;8;0;0;do nich
+984;9;0;0;bardzo
+984;10;0;0;( chyba , że mam silny katar )
+984;11;0;0;bardzo rzadko do nich
+984;12;0;0;temu
+984;13;0;0;dawno
+984;14;0;0;je
+984;15;0;0;m
+984;16;0;0;.
+984;17;0;0;bardzo rzadko do nich sięgam ( chyba , że mam silny katar )
+984;18;0;0;Dostała m je dawno temu
+984;19;0;0;Dostała m je dawno temu i bardzo rzadko do nich sięgam ( chyba , że mam silny katar ) .
+308;0;1;1;młodych
+308;1;0;0;młodych duchem
+308;2;0;0;.
+308;3;0;0;kobiet młodych duchem
+308;4;0;0;Dla kobiet młodych duchem .
+1173;0;0;0;kobiety
+1173;1;0;0;dla kobiety
+1173;2;1;1;doskonały
+1173;3;0;0;.
+1173;4;1;0;doskonały prezent dla kobiety
+1173;5;0;0;Jest
+1173;6;0;0;Jest to doskonały prezent dla kobiety .
+597;0;0;0;całego
+597;1;0;0;całego zachodu
+597;2;-1;0;niska
+597;3;0;0;nie
+597;4;0;0;cena
+597;5;0;0;Może
+597;6;0;0;.
+597;7;1;0;warta całego zachodu
+597;8;0;0;,
+597;9;0;0;Może cena nie jest niska
+597;10;0;0;Może cena nie jest niska , ale warta całego zachodu .
+655;0;0;0;muzyki
+655;1;0;0;wpływem muzyki
+655;2;0;0;,
+655;3;0;0;scenie
+655;4;0;0;.
+655;5;0;0;, pod wpływem muzyki
+655;6;0;0;na scenie
+655;7;0;0;się
+655;8;0;0;Odważna
+655;9;0;0;-
+655;10;0;0;- Odważna staję się na scenie , pod wpływem muzyki .
+288;0;1;1;wyższej
+288;1;0;0;.
+288;2;0;0;wyższej ceny
+288;3;0;0;się
+288;4;0;0;m
+288;5;0;0;to
+288;6;0;0;,
+288;7;0;0;Szczerze
+288;8;0;0;Szczerze , to spodziewała m się wyższej ceny .
+181;0;0;0;gorąco
+181;1;0;0;gorąco tą
+181;2;0;0;gorąco tą wodę
+181;3;0;0;.
+181;4;0;1;wszystkim gorąco tą wodę
+181;5;1;1;Polecam wszystkim gorąco tą wodę .
+5;0;0;0;męskich
+5;1;0;0;męskich zapachów
+5;2;0;0;!
+5;3;0;1;wśród męskich zapachów
+5;4;1;0;Ideał wśród męskich zapachów !
+1139;0;1;0;ukochane
+1139;1;0;0;moje
+1139;2;1;0;moje ukochane perfumy
+1139;3;1;0;będą moje ukochane perfumy
+1139;4;0;0;zawsze
+1139;5;0;0;to
+1139;6;0;0;"
+1139;7;1;0;" to na zawsze będą moje ukochane perfumy
+1139;8;1;0;żółta " to na zawsze będą moje ukochane perfumy
+1139;9;0;0;.
+1139;10;1;0;" żółta " to na zawsze będą moje ukochane perfumy
+1139;11;0;0;Lacosta " żółta " to na zawsze będą moje ukochane perfumy .
+1;0;0;1;przepełniony
+1;1;1;0;słodki
+1;2;0;0;.
+1;3;1;1;przepełniony optymizmem
+1;4;0;0;Zapach słodki
+1;5;0;1;Zapach słodki i przepełniony optymizmem .
+361;0;0;0;bardzo
+361;1;0;0;bardzo długo
+361;2;0;0;przez bardzo długo
+361;3;0;0;się
+361;4;0;0;aromat
+361;5;0;0;.
+361;6;0;0;aromat utrzymuje się przez bardzo długo
+361;7;0;0;kwiatowy
+361;8;1;0;Przepiękny
+361;9;0;0;Przepiękny kwiatowy , aromat utrzymuje się przez bardzo długo .
+352;0;0;0;każdej
+352;1;0;0;każdej kobiety
+352;2;0;0;.
+352;3;0;0;dla każdej kobiety
+352;4;1;1;Idealny
+352;5;0;0;Idealny prezent dla każdej kobiety .
+1117;0;0;0;Ten
+1117;1;0;0;.
+1117;2;-1;-1;beznadziejny
+1117;3;0;0;Ten biustonosz
+1117;4;0;0;Ten biustonosz jest beznadziejny .
+174;0;0;0;małych
+174;1;0;0;małych piersi
+174;2;0;0;dla małych piersi
+174;3;1;1;praktyczny dla małych piersi
+174;4;0;0;się
+174;5;0;0;Ładnie
+174;6;0;0;.
+174;7;1;0;jest praktyczny dla małych piersi
+174;8;1;1;Ładnie się prezentuje
+174;9;0;0;Ładnie się prezentuje i jest praktyczny dla małych piersi .
+584;0;0;0;miseczek
+584;1;1;1;fajny
+584;2;0;0;.
+584;3;1;1;fajny kształt miseczek
+584;4;0;0;bardzo
+584;5;0;0;Ma bardzo fajny kształt miseczek .
+517;0;0;0;Baggio
+517;1;0;0;Dino Baggio
+517;2;0;0;włoskiego
+517;3;0;-1;ciężkiego
+517;4;0;0;włoskiego piłkarza Dino Baggio
+517;5;-1;-1;ciężkiego kalectwa
+517;6;0;0;głowę włoskiego piłkarza Dino Baggio
+517;7;0;0;spowodowania ciężkiego kalectwa
+517;8;0;0;w głowę włoskiego piłkarza Dino Baggio
+517;9;0;0;nożem
+517;10;0;0;zamiarem spowodowania ciężkiego kalectwa
+517;11;0;0;.
+517;12;0;0;rzucając nożem w głowę włoskiego piłkarza Dino Baggio
+517;13;0;0;z zamiarem spowodowania ciężkiego kalectwa
+517;14;0;0;że
+517;15;0;0;,
+517;16;0;0;M .
+517;17;0;0;.
+517;18;0;0;, że działał z zamiarem spowodowania ciężkiego kalectwa rzucając nożem w głowę włoskiego piłkarza Dino Baggio
+517;19;0;0;również
+517;20;0;0;się
+517;21;0;0;Pawłowi M .
+517;22;0;0;Pawłowi M . zarzuca się również , że działał z zamiarem spowodowania ciężkiego kalectwa rzucając nożem w głowę włoskiego piłkarza Dino Baggio .
+525;0;0;0;przecudowny
+525;1;1;0;zapach przecudowny
+525;2;0;0;ubraniach
+525;3;0;0;ciele
+525;4;0;0;bardzo
+525;5;1;0;- zapach przecudowny
+525;6;0;0;jeszcze
+525;7;0;0;na ubraniach
+525;8;0;0;na ciele
+525;9;0;0;się
+525;10;0;0;bardzo długo
+525;11;1;0;100% - zapach przecudowny
+525;12;0;0;na ubraniach jeszcze dłużej
+525;13;0;0;bardzo długo utrzymuje się na ciele
+525;14;1;0;w 100% - zapach przecudowny
+525;15;0;0;.
+525;16;0;0;bardzo długo utrzymuje się na ciele , na ubraniach jeszcze dłużej
+525;17;1;1;Polecam w 100% - zapach przecudowny
+525;18;0;0;Polecam w 100% - zapach przecudowny , bardzo długo utrzymuje się na ciele , na ubraniach jeszcze dłużej .
+482;0;0;0;górze
+482;1;0;0;ku górze
+482;2;0;0;kobiece
+482;3;0;0;biust ku górze
+482;4;0;0;także
+482;5;0;0;kobiece kształty
+482;6;0;0;.
+482;7;0;0;także podniesie biust ku górze
+482;8;1;0;Uwydatni kobiece kształty
+482;9;0;0;Uwydatni kobiece kształty a także podniesie biust ku górze .
+314;0;0;0;miseczki
+314;1;0;0;rozmiarów miseczki
+314;2;1;1;pełną
+314;3;0;0;.
+314;4;0;0;pełną gamę rozmiarów miseczki
+314;5;0;0;Stanik
+314;6;0;0;Stanik ma pełną gamę rozmiarów miseczki .
+200;0;0;0;modzie
+200;1;0;0;w modzie
+200;2;0;0;teraz
+200;3;0;0;takie
+200;4;0;0;że
+200;5;0;0;,
+200;6;0;1;, że takie są teraz w modzie
+200;7;0;1;wiem , że takie są teraz w modzie
+200;8;0;0;,
+200;9;0;1;, choć wiem , że takie są teraz w modzie
+200;10;-1;-1;dziwny
+200;11;0;0;,
+200;12;0;0;gustu
+200;13;0;0;.
+200;14;0;1;, dziwny kształt , choć wiem , że takie są teraz w modzie
+200;15;0;0;nie
+200;16;0;0;do gustu
+200;17;0;0;osobiście
+200;18;0;0;Mi
+200;19;0;1;Mi osobiście do gustu nie przypadł , dziwny kształt , choć wiem , że takie są teraz w modzie .
+493;0;0;0;jeszcze
+493;1;0;0;jeszcze raz
+493;2;-1;0;kupie
+493;3;0;0;ktorą
+493;4;0;0;jedyna
+493;5;0;0;daje
+493;6;0;0;jedyna woda ktorą kupie jeszcze raz
+493;7;0;0;jest
+493;8;0;0;9
+493;9;0;0;10 daje
+493;10;0;0;:
+493;11;0;0;skali
+493;12;0;0;.
+493;13;1;0;: 10 daje 9 to jest jedyna woda ktorą kupie jeszcze raz
+493;14;0;0;w skali
+493;15;0;0;w skali 1 : 10 daje 9 to jest jedyna woda ktorą kupie jeszcze raz .
+595;0;1;0;rok
+595;1;0;0;1994 rok
+595;2;0;0;za 1994 rok
+595;3;0;-1;zysku za 1994 rok
+595;4;0;0;z zysku za 1994 rok
+595;5;1;0;nagrodach z zysku za 1994 rok
+595;6;0;0;obowiązującym
+595;7;0;0;w nagrodach z zysku za 1994 rok
+595;8;0;0;obowiązującym regulaminem
+595;9;0;0;z
+595;10;0;0;miesięcy
+595;11;0;0;nawet
+595;12;0;0;telewizorni
+595;13;0;0;uczestniczyć w nagrodach z zysku za 1994 rok
+595;14;0;0;nie
+595;15;0;0;zgodnie z obowiązującym regulaminem
+595;16;0;0;nawet 12 miesięcy
+595;17;0;0;w telewizorni
+595;18;0;0;nie
+595;19;0;0;pampersów
+595;20;-1;0;.
+595;21;0;0;zgodnie z obowiązującym regulaminem nie mogła uczestniczyć w nagrodach z zysku za 1994 rok
+595;22;0;0;,
+595;23;0;0;nie przepracowała w telewizorni nawet 12 miesięcy
+595;24;0;0;Większość pampersów
+595;25;0;0;Większość pampersów nie przepracowała w telewizorni nawet 12 miesięcy , więc zgodnie z obowiązującym regulaminem nie mogła uczestniczyć w nagrodach z zysku za 1994 rok .
+831;0;1;1;wspaniałym
+831;1;0;1;wspaniałym Kodaku
+831;2;0;0;Eddie
+831;3;0;0;.
+831;4;0;1;we wspaniałym Kodaku
+831;5;0;0;coś
+831;6;0;0;colonel Eddie
+831;7;0;0;Obok
+831;8;0;0;Obok colonel Eddie majstruje coś we wspaniałym Kodaku .
+782;0;0;0;gustów
+782;1;0;0;kwestii gustów
+782;2;0;0;nie
+782;3;0;0;się
+782;4;0;0;w kwestii gustów
+782;5;1;0;nieziemski
+782;6;0;1;w kwestii gustów się nie dyskutuje
+782;7;0;0;.
+782;8;1;1;zapach nieziemski
+782;9;0;0;,
+782;10;0;0;Niby w kwestii gustów się nie dyskutuje
+782;11;0;0;Niby w kwestii gustów się nie dyskutuje , ale zapach nieziemski .
+1084;0;1;0;świeże
+1084;1;0;0;,
+1084;2;0;0;lekkie
+1084;3;0;0;.
+1084;4;1;0;nuty lekkie , świeże
+1084;5;0;0;Przeważają nuty lekkie , świeże .
+678;0;1;0;wczesny
+678;1;0;0;.
+678;2;0;0;wczesny poranek
+678;3;0;0;.
+678;4;0;0;.
+678;5;0;0;. . jak wczesny poranek .
+1017;0;1;1;podziwu
+1017;1;0;0;Magdę
+1017;2;1;1;pełen podziwu
+1017;3;0;0;.
+1017;4;0;0;na Magdę
+1017;5;0;1;pełen podziwu wzrok
+1017;6;0;0;m
+1017;7;0;0;Przeniosła m pełen podziwu wzrok na Magdę .
+1188;0;0;0;roku
+1188;1;0;0;wiosny
+1188;2;0;0;co roku
+1188;3;0;0;regularnie
+1188;4;0;0;się
+1188;5;1;0;cud wiosny
+1188;6;0;0;że
+1188;7;0;0;,
+1188;8;0;0;.
+1188;9;0;0;, że cud wiosny zdarza się regularnie co roku
+1188;10;0;1;świetnie
+1188;11;0;0;poeta
+1188;12;0;0;przecież
+1188;13;0;0;A
+1188;14;0;0;A przecież poeta świetnie wiedział , że cud wiosny zdarza się regularnie co roku .
+730;0;0;0;błękitnej
+730;1;0;1;oka błękitnej
+730;2;0;0;dla oka błękitnej
+730;3;1;1;przyjemnej dla oka błękitnej
+730;4;1;1;przyjemnej dla oka błękitnej butelce
+730;5;1;1;w przyjemnej dla oka błękitnej butelce
+730;6;1;1;zapakowany w przyjemnej dla oka błękitnej butelce
+730;7;1;1;to zapakowany w przyjemnej dla oka błękitnej butelce
+730;8;1;1;Water to zapakowany w przyjemnej dla oka błękitnej butelce
+730;9;0;0;Cool
+730;10;0;0;.
+730;11;1;1;Davidoff Cool Water to zapakowany w przyjemnej dla oka błękitnej butelce
+730;12;0;0;toaletowa
+730;13;0;0;Woda toaletowa Davidoff Cool Water to zapakowany w przyjemnej dla oka błękitnej butelce .
+993;0;0;0;mnie
+993;1;0;0;dla mnie
+993;2;-1;-1;dla mnie okropny
+993;3;0;0;naprawdę
+993;4;0;0;.
+993;5;-1;1;naprawdę jak dla mnie okropny
+993;6;0;0;Zapach naprawdę jak dla mnie okropny .
+822;0;0;0;.
+822;1;0;0;butelki
+822;2;1;1;Ciekawy
+822;3;0;0;Ciekawy design butelki .
+521;0;0;0;zawsze
+521;1;0;0;Armaniego zawsze
+521;2;0;0;zakupu
+521;3;0;0;od Armaniego zawsze
+521;4;0;0;do zakupu
+521;5;0;0;mnie
+521;6;0;0;Zapach od Armaniego zawsze
+521;7;0;0;.
+521;8;1;1;zachęcał do zakupu
+521;9;1;1;Zapach od Armaniego zawsze mnie intrygował
+521;10;0;0;Zapach od Armaniego zawsze mnie intrygował i zachęcał do zakupu .
+1079;0;0;0;jakiś
+1079;1;0;0;perfum
+1079;2;0;0;jakiś czas
+1079;3;0;0;mililitrów perfum
+1079;4;0;0;.
+1079;5;0;0;na jakiś czas
+1079;6;0;0;Sto mililitrów perfum
+1079;7;1;1;Sto mililitrów perfum wystarczy na jakiś czas .
+122;0;1;1;odwagą
+122;1;0;0;z odwagą
+122;2;0;0;wspólnego z odwagą
+122;3;0;0;ogóle
+122;4;0;0;chyba
+122;5;0;0;.
+122;6;0;0;nic wspólnego z odwagą
+122;7;0;0;nie
+122;8;0;0;chyba w ogóle
+122;9;0;0;To
+122;10;0;0;To chyba w ogóle nie miało nic wspólnego z odwagą .
+879;0;0;0;mu
+879;1;0;0;Przecudowny
+879;2;0;0;.
+879;3;0;1;mu uroku
+879;4;1;0;Przecudowny haft
+879;5;0;1;Przecudowny haft dodaję mu uroku .
+921;0;0;0;co
+921;1;0;0;na co
+921;2;0;0;.
+921;3;0;0;na co dzień
+921;4;1;1;Świetne
+921;5;0;0;Świetne perfumy na co dzień .
+208;0;0;0;każdego
+208;1;0;0;każdego mężczyzny
+208;2;0;0;dla każdego mężczyzny
+208;3;0;0;.
+208;4;1;1;odpowiednia dla każdego mężczyzny
+208;5;0;0;zapachowa
+208;6;0;0;Nuta zapachowa odpowiednia dla każdego mężczyzny .
+472;0;0;0;samą
+472;1;0;0;samą Donatellę
+472;2;0;0;mody
+472;3;1;1;najlepszych
+472;4;0;0;przez samą Donatellę
+472;5;1;0;najlepszych domów mody
+472;6;0;0;ww
+472;7;0;0;wylansowanie przez samą Donatellę
+472;8;1;1;z najlepszych domów mody
+472;9;0;0;właścicielkę ww
+472;10;0;0;zostały wylansowanie przez samą Donatellę
+472;11;0;0;mianowicie
+472;12;1;1;jednego z najlepszych domów mody
+472;13;0;0;końcu
+472;14;0;0;zostały wylansowanie przez samą Donatellę , właścicielkę ww
+472;15;0;0;mianowicie Versace
+472;16;1;1;z jednego z najlepszych domów mody
+472;17;0;0;w końcu
+472;18;0;0;Bo
+472;19;0;0;.
+472;20;0;0;mianowicie Versace i zostały wylansowanie przez samą Donatellę , właścicielkę ww
+472;21;0;0;,
+472;22;1;1;Bo w końcu pochodzą z jednego z najlepszych domów mody
+472;23;0;0;Bo w końcu pochodzą z jednego z najlepszych domów mody , a mianowicie Versace i zostały wylansowanie przez samą Donatellę , właścicielkę ww .
+56;0;0;0;każdego
+56;1;0;0;każdego faceta
+56;2;0;0;.
+56;3;0;0;dla każdego faceta
+56;4;1;1;Polecam dla każdego faceta .
+172;0;0;0;różu
+172;1;1;1;śliczny
+172;2;0;0;-
+172;3;1;0;- śliczny odcień różu
+172;4;0;0;kobiecy
+172;5;0;0;.
+172;6;1;0;kobiecy kolor - śliczny odcień różu
+172;7;0;0;bardzo
+172;8;0;0;Ma bardzo kobiecy kolor - śliczny odcień różu .
+458;0;1;0;świeżą
+458;1;0;0;lasem
+458;2;0;0;świeżą trawą
+458;3;0;0;,
+458;4;0;0;łąką
+458;5;0;0;łąką , świeżą trawą i lasem
+458;6;0;0;.
+458;7;0;0;z łąką , świeżą trawą i lasem
+458;8;0;0;się
+458;9;0;0;mi
+458;10;0;0;Zapach
+458;11;0;0;Zapach kojarzy mi się z łąką , świeżą trawą i lasem .
+819;0;1;1;ciekawy
+819;1;0;0;.
+819;2;1;1;ciekawy design
+819;3;0;0;Buteleczka
+819;4;0;0;Buteleczka ma ciekawy design .
+669;0;0;0;zmysłowej
+669;1;0;0;drapieżnej
+669;2;1;0;drapieżnej i zmysłowej
+669;3;0;0;pewnej
+669;4;1;0;pewnej siebie drapieżnej i zmysłowej
+669;5;1;0;kobiety pewnej siebie drapieżnej i zmysłowej
+669;6;0;0;.
+669;7;1;1;dla kobiety pewnej siebie drapieżnej i zmysłowej
+669;8;1;0;Boski
+669;9;0;0;Boski , dla kobiety pewnej siebie drapieżnej i zmysłowej .
+110;0;0;0;mężczyzna
+110;1;0;0;.
+110;2;-1;0;obojętny
+110;3;0;0;mu
+110;4;0;0;nie
+110;5;0;0;Zaden mężczyzna
+110;6;0;0;Zaden mężczyzna nie pozostanie mu obojętny .
+616;0;0;0;zapachem
+616;1;1;1;kuszące zapachem
+616;2;0;0;Bardzo
+616;3;0;0;.
+616;4;1;1;kuszące zapachem perfumy
+616;5;1;1;luksusowe
+616;6;0;0;,
+616;7;1;0;Bardzo kobiece
+616;8;0;0;Bardzo kobiece , luksusowe , kuszące zapachem perfumy .
+962;0;0;0;wiele
+962;1;0;0;wiele użyć
+962;2;0;0;całkiem
+962;3;0;0;na wiele użyć
+962;4;0;0;się
+962;5;1;1;całkiem fajnie
+962;6;0;0;Flakonik
+962;7;0;0;.
+962;8;0;1;wystarcza na wiele użyć
+962;9;1;1;Flakonik całkiem fajnie się prezentuje
+962;10;0;0;Flakonik całkiem fajnie się prezentuje i wystarcza na wiele użyć .
+624;0;0;0;wspomnień
+624;1;0;0;,
+624;2;0;0;różnymi
+624;3;0;0;do wspomnień
+624;4;1;1;dobry
+624;5;0;0;różnymi sytuacjami ,
+624;6;0;0;ten
+624;7;1;0;zpach dobry do wspomnień
+624;8;0;0;z różnymi sytuacjami ,
+624;9;0;0;go
+624;10;0;0;ten zapach
+624;11;0;0;się
+624;12;0;0;mi
+624;13;0;0;właśnie
+624;14;0;0;tak
+624;15;0;0;!
+624;16;1;0;wiąże go z różnymi sytuacjami , zpach dobry do wspomnień
+624;17;0;0;tak właśnie kojarzy mi się ten zapach
+624;18;0;0;tak właśnie kojarzy mi się ten zapach i wiąże go z różnymi sytuacjami , zpach dobry do wspomnień !
+365;0;0;0;drugiego
+365;1;0;0;drugiego flakonu
+365;2;0;0;już
+365;3;0;0;.
+365;4;0;0;już z drugiego flakonu
+365;5;0;0;Obecnie
+365;6;1;0;Obecnie korzystam już z drugiego flakonu .
+485;0;0;0;stanika
+485;1;0;0;.
+485;2;0;0;do stanika
+485;3;1;0;adekwatna
+485;4;0;0;Cena adekwatna do stanika .
+230;0;0;0;każdej
+230;1;1;1;wart
+230;2;0;0;ten
+230;3;0;0;mnie
+230;4;0;0;każdej ceny
+230;5;0;0;produkt ten wart
+230;6;0;0;dla mnie
+230;7;0;0;.
+230;8;1;0;dla mnie produkt ten wart jest każdej ceny
+230;9;0;1;Jak dla mnie produkt ten wart jest każdej ceny .
+436;0;0;0;osobowości
+436;1;0;0;każdej
+436;2;0;0;według osobowości
+436;3;0;0;każdej osoby
+436;4;0;0;dobierać według osobowości
+436;5;0;0;perfumy
+436;6;0;0;do każdej osoby
+436;7;0;0;Nie
+436;8;0;0;perfumy trzeba dobierać według osobowości
+436;9;0;1;Nie do każdej osoby pasuje
+436;10;0;1;Nie do każdej osoby pasuje , perfumy trzeba dobierać według osobowości
+411;0;0;0;Triumph
+411;1;0;0;jego
+411;2;0;0;firmy Triumph
+411;3;0;0;innej
+411;4;0;0;jego zakupie
+411;5;0;0;innej bieliźnie firmy Triumph
+411;6;0;0;podobnie
+411;7;0;0;na jego zakupie
+411;8;0;0;się
+411;9;0;0;m
+411;10;0;0;Nie
+411;11;0;0;.
+411;12;0;0;na innej bieliźnie firmy Triumph
+411;13;1;1;Nie zawiodła m się na jego zakupie podobnie
+411;14;0;1;Nie zawiodła m się na jego zakupie podobnie jak na innej bieliźnie firmy Triumph .
+264;0;0;0;bardzo
+264;1;0;0;nie
+264;2;-1;-1;bardzo niewygodny
+264;3;0;0;.
+264;4;-1;1;nie praktyczny
+264;5;-1;0;Stanik bardzo niewygodny
+264;6;0;0;Stanik bardzo niewygodny i nie praktyczny .
+694;0;0;0;noszenia
+694;1;0;0;do noszenia
+694;2;0;0;nie
+694;3;1;1;przyjemny do noszenia
+694;4;0;0;Biustonosz
+694;5;0;0;.
+694;6;0;-1;nie uwiera
+694;7;1;1;Biustonosz jest przyjemny do noszenia
+694;8;0;0;Biustonosz jest przyjemny do noszenia i nie uwiera .
+1001;0;0;0;każdej
+1001;1;0;0;pewnością
+1001;2;0;0;każdej kobiecie
+1001;3;1;0;z pewnością
+1001;4;0;0;się
+1001;5;0;0;który
+1001;6;0;0;,
+1001;7;1;0;, który spodoba się z pewnością każdej kobiecie
+1001;8;1;0;cudowny
+1001;9;0;0;.
+1001;10;1;1;cudowny kolor , który spodoba się z pewnością każdej kobiecie
+1001;11;0;0;Ma cudowny kolor , który spodoba się z pewnością każdej kobiecie .
+965;0;0;0;dróg
+965;1;0;0;skrzyżowaniu dróg
+965;2;0;0;na skrzyżowaniu dróg
+965;3;1;0;korzystnemu
+965;4;0;0;szybki
+965;5;0;0;Swój
+965;6;0;0;.
+965;7;0;0;korzystnemu położeniu na skrzyżowaniu dróg
+965;8;1;0;Swój szybki rozwój
+965;9;0;1;Swój szybki rozwój zawdzięczało korzystnemu położeniu na skrzyżowaniu dróg .
+151;0;0;0;dość
+151;1;0;0;Ogólny
+151;2;0;0;.
+151;3;1;0;dość pozytywny
+151;4;0;0;Ogólny wygląd
+151;5;0;0;Ogólny wygląd jest dość pozytywny .
+301;0;1;0;silnym
+301;1;1;0;silnym charakterem
+301;2;1;0;z silnym charakterem
+301;3;1;1;siebie z silnym charakterem
+301;4;0;0;pewnym
+301;5;1;0;osobom pewnym siebie z silnym charakterem
+301;6;0;0;.
+301;7;1;0;go osobom pewnym siebie z silnym charakterem
+301;8;0;0;Polecałym go osobom pewnym siebie z silnym charakterem .
+277;0;0;0;każdego
+277;1;0;0;każdego dnia
+277;2;0;0;noszenia każdego dnia
+277;3;0;0;.
+277;4;0;0;do noszenia każdego dnia
+277;5;1;1;Doskonały do noszenia każdego dnia .
+654;0;0;0;zawsze
+654;1;0;0;Armaniego zawsze
+654;2;0;0;zakupu
+654;3;0;0;od Armaniego zawsze
+654;4;0;0;do zakupu
+654;5;0;0;mnie
+654;6;0;0;Zapach od Armaniego zawsze
+654;7;0;0;.
+654;8;1;1;zachęcał do zakupu
+654;9;1;1;Zapach od Armaniego zawsze mnie intrygował
+654;10;0;0;Zapach od Armaniego zawsze mnie intrygował i zachęcał do zakupu .
+1000;0;0;0;innych
+1000;1;0;0;innych perfum
+1000;2;0;0;od innych perfum
+1000;3;0;0;go
+1000;4;0;0;który
+1000;5;0;0;,
+1000;6;0;0;:
+1000;7;0;0;, który odróżnia go od innych perfum
+1000;8;1;1;świetny
+1000;9;0;0;tym
+1000;10;0;0;)
+1000;11;1;1;świetny flakonik , który odróżnia go od innych perfum :
+1000;12;0;0;Poza tym
+1000;13;0;0;Poza tym ma świetny flakonik , który odróżnia go od innych perfum : )
+357;0;0;0;kobiet
+357;1;1;1;prawdziwa
+357;2;0;1;dla kobiet
+357;3;-1;-1;prawdziwa trucizna
+357;4;0;0;.
+357;5;0;-1;nie dla kobiet
+357;6;0;0;,
+357;7;-1;-1;To prawdziwa trucizna
+357;8;0;1;To prawdziwa trucizna , ale nie dla kobiet .
+593;0;0;0;Adama
+593;1;0;0;pana Adama
+593;2;0;0;twarzy pana Adama
+593;3;1;1;Radosny
+593;4;0;0;.
+593;5;0;0;na twarzy pana Adama
+593;6;0;0;jednak
+593;7;0;0;nie
+593;8;0;1;Radosny uśmiech
+593;9;0;1;Radosny uśmiech nie gościł jednak na twarzy pana Adama .
+532;0;0;0;dużej
+532;1;0;0;dużej pojemności
+532;2;1;1;nowoczesnym
+532;3;0;0;o dużej pojemności
+532;4;0;0;dozowany
+532;5;0;1;nowoczesnym stylu
+532;6;0;0;.
+532;7;0;0;dozowany atomizerem o dużej pojemności
+532;8;0;0;,
+532;9;0;1;w nowoczesnym stylu
+532;10;0;0;Flakonik w nowoczesnym stylu , dozowany atomizerem o dużej pojemności .
+823;0;0;0;tymi
+823;1;0;0;tymi perfumami
+823;2;0;0;,
+823;3;1;0;ukochany
+823;4;0;0;Mój
+823;5;0;0;.
+823;6;0;0;za tymi perfumami
+823;7;1;0;Mój ukochany zapach ,
+823;8;0;0;Mój ukochany zapach , szaleje za tymi perfumami .
+244;0;1;1;godny
+244;1;0;0;polecenia
+244;2;1;1;godny uwagi
+244;3;0;0;bardzo
+244;4;0;0;ten
+244;5;1;1;godny uwagi i polecenia
+244;6;0;0;jest
+244;7;0;0;się
+244;8;0;0;bardzo skromnie
+244;9;0;0;ten biustonosz
+244;10;0;0;że
+244;11;0;0;,
+244;12;0;0;.
+244;13;1;1;, że ten biustonosz bardzo skromnie się prezentuje jest godny uwagi i polecenia
+244;14;0;0;Pomimo , że ten biustonosz bardzo skromnie się prezentuje jest godny uwagi i polecenia .
+617;0;1;1;entuzjazmu
+617;1;0;0;ufności
+617;2;0;0;ufności i entuzjazmu
+617;3;0;0;do ufności i entuzjazmu
+617;4;0;1;skłonne do ufności i entuzjazmu
+617;5;0;0;wrażliwe
+617;6;0;0;eseisty
+617;7;0;0;wrażliwe , skłonne do ufności i entuzjazmu
+617;8;0;0;.
+617;9;0;0;wrażliwe , skłonne do ufności i entuzjazmu oblicze eseisty
+617;10;0;0;wyraźnie
+617;11;0;0;Tutaj
+617;12;0;0;Tutaj wyraźnie widać wrażliwe , skłonne do ufności i entuzjazmu oblicze eseisty .
+1124;0;1;1;śliczny
+1124;1;0;0;.
+1124;2;1;1;śliczny fason
+1124;3;0;0;Ponadto
+1124;4;0;0;Ponadto ma śliczny fason .
+922;0;1;0;słodką
+922;1;0;1;słodką nutą
+922;2;0;0;kobiecy
+922;3;0;0;.
+922;4;0;0;ze słodką nutą
+922;5;0;1;kobiecy zapach
+922;6;0;0;Perfumy
+922;7;0;0;Perfumy mają kobiecy zapach ze słodką nutą .
+846;0;0;0;ciele
+846;1;0;0;bardzo
+846;2;1;0;Niespotykany
+846;3;0;0;.
+846;4;0;0;na ciele
+846;5;0;0;się
+846;6;1;0;bardzo ładnie
+846;7;0;0;Niespotykany kolor
+846;8;0;1;Niespotykany kolor bardzo ładnie prezentuje się na ciele .
+13;0;0;0;wysmakowanych
+13;1;1;0;wysmakowanych mężczyzn
+13;2;0;0;.
+13;3;1;1;dla wysmakowanych mężczyzn
+13;4;0;0;Letnia
+13;5;1;0;Letnia propozycja dla wysmakowanych mężczyzn .
+642;0;1;1;energicznych
+642;1;0;0;.
+642;2;1;0;ludzi energicznych
+642;3;0;0;Dla ludzi energicznych .
+529;0;0;0;ponownie
+529;1;0;0;go
+529;2;0;0;mu
+529;3;1;1;wysokiej
+529;4;0;0;kupić mu go ponownie
+529;5;-1;0;wysokiej ceny
+529;6;0;0;dosyć
+529;7;0;0;dosyć wysokiej ceny zamierzam kupić mu go ponownie
+529;8;0;0;Mojemu
+529;9;0;0;.
+529;10;0;0;mimo dosyć wysokiej ceny zamierzam kupić mu go ponownie
+529;11;0;0;się
+529;12;0;0;bardzo
+529;13;0;0;Mojemu chłopakowi
+529;14;0;1;Mojemu chłopakowi bardzo się podobał mimo dosyć wysokiej ceny zamierzam kupić mu go ponownie .
+115;0;0;0;dużo
+115;1;0;0;bardzo
+115;2;-1;-1;za dużo
+115;3;0;0;go
+115;4;0;0;nie
+115;5;0;0;perfum
+115;6;1;1;bardzo dobrze
+115;7;0;0;atomizer
+115;8;0;0;bardzo
+115;9;1;0;nie jest go za dużo
+115;10;1;1;atomizer bardzo dobrze rozpyla perfum
+115;11;1;0;bardzo ładnie
+115;12;0;0;Perfum
+115;13;0;0;.
+115;14;1;1;atomizer bardzo dobrze rozpyla perfum , nie jest go za dużo
+115;15;1;1;Perfum bardzo ładnie pachnie
+115;16;0;0;Perfum bardzo ładnie pachnie , atomizer bardzo dobrze rozpyla perfum , nie jest go za dużo .
+131;0;0;0;porządnie
+131;1;0;0;,
+131;2;0;0;biust
+131;3;1;1;dobrze
+131;4;0;0;,
+131;5;0;0;bardzo
+131;6;1;1;porządnie wykończony
+131;7;1;0;, dobrze trzyma biust ,
+131;8;1;0;bardzo ładnie
+131;9;0;0;,
+131;10;0;0;urodziny
+131;11;0;0;.
+131;12;1;1;, bardzo ładnie wyprofilowany , dobrze trzyma biust , porządnie wykończony
+131;13;0;0;na urodziny
+131;14;0;0;koleżance
+131;15;0;0;m
+131;16;0;0;kupiła m koleżance na urodziny , bardzo ładnie wyprofilowany , dobrze trzyma biust , porządnie wykończony .
+788;0;-1;-1;cięższych
+788;1;0;0;cięższych perfum
+788;2;0;0;trochę cięższych perfum
+788;3;0;0;m
+788;4;0;0;i
+788;5;0;0;pociągać
+788;6;0;-1;do trochę cięższych perfum
+788;7;0;0;raczej
+788;8;0;0;go
+788;9;0;0;by m
+788;10;0;0;P
+788;11;0;0;pociągać i przyciągać
+788;12;0;0;.
+788;13;0;0;P Zaliczyła by m go raczej do trochę cięższych perfum
+788;14;0;1;Ma pociągać i przyciągać
+788;15;0;0;Ma pociągać i przyciągać ; P Zaliczyła by m go raczej do trochę cięższych perfum .
+932;0;0;0;się
+932;1;0;0;długo
+932;2;0;0;który
+932;3;0;0;,
+932;4;0;0;bardzo
+932;5;0;0;, który długo się utrzymuje
+932;6;1;1;bardzo fajny
+932;7;1;1;bardzo fajny zapach , który długo się utrzymuje
+932;8;0;0;że
+932;9;0;0;,
+932;10;0;0;.
+932;11;1;0;, że ma bardzo fajny zapach , który długo się utrzymuje
+932;12;0;0;przyznać
+932;13;0;0;Muszę przyznać , że ma bardzo fajny zapach , który długo się utrzymuje .
+804;0;0;0;elektryzującym
+804;1;0;0;doskonale
+804;2;1;1;elektryzującym zapachem
+804;3;0;0;się
+804;4;0;0;.
+804;5;1;1;doskonale zharmonizowanym
+804;6;1;0;Charakteryzuje się elektryzującym zapachem
+804;7;0;0;Charakteryzuje się elektryzującym zapachem , doskonale zharmonizowanym .
+1003;0;0;0;tej
+1003;1;0;0;tyle
+1003;2;0;0;tej linii
+1003;3;0;0;na tyle
+1003;4;0;0;mnie
+1003;5;0;0;z tej linii
+1003;6;1;1;zachęciła mnie na tyle
+1003;7;0;0;która
+1003;8;0;0;,
+1003;9;0;0;próbki
+1003;10;0;0;jedynie
+1003;11;0;1;coś z tej linii
+1003;12;0;0;sobie
+1003;13;1;1;jedynie próbki , która jednak zachęciła mnie na tyle
+1003;14;0;0;sobie sprawić coś z tej linii
+1003;15;0;0;że
+1003;16;0;0;,
+1003;17;1;1;posiadaniu jedynie próbki , która jednak zachęciła mnie na tyle
+1003;18;0;0;razie
+1003;19;0;0;.
+1003;20;0;1;, że muszę sobie sprawić coś z tej linii
+1003;21;1;1;w posiadaniu jedynie próbki , która jednak zachęciła mnie na tyle
+1003;22;0;0;Na razie
+1003;23;0;1;Na razie jestem w posiadaniu jedynie próbki , która jednak zachęciła mnie na tyle , że muszę sobie sprawić coś z tej linii .
+469;0;0;0;drogi
+469;1;0;0;drogi biustonosz
+469;2;-1;-1;za drogi biustonosz
+469;3;-1;-1;trochę za drogi biustonosz
+469;4;-1;-1;t trochę za drogi biustonosz
+469;5;0;0;mnie
+469;6;0;0;choć
+469;7;0;0;.
+469;8;-1;1;dla mnie t trochę za drogi biustonosz
+469;9;1;0;Śliczny choć
+469;10;0;1;Śliczny choć jak dla mnie t trochę za drogi biustonosz .
+187;0;1;1;fajny
+187;1;0;0;kolory
+187;2;1;1;fajny fason
+187;3;0;0;.
+187;4;1;1;fajny fason i kolory
+187;5;0;0;bardzo
+187;6;0;0;Ma bardzo fajny fason i kolory .
+1101;0;0;0;nie
+1101;1;1;1;klasyczna
+1101;2;0;0;prosta
+1101;3;0;0;,
+1101;4;0;-1;nie uczulają
+1101;5;0;0;im
+1101;6;0;0;nie uczulają , prosta , klasyczna
+1101;7;0;0;im oryginalności
+1101;8;0;0;nie uczulają , prosta , klasyczna butelka
+1101;9;0;0;.
+1101;10;0;0;nie uczulają , prosta , klasyczna butelka dodaje im oryginalności
+1101;11;0;0;Wytrzymałe
+1101;12;0;0;Wytrzymałe , nie uczulają , prosta , klasyczna butelka dodaje im oryginalności .
+466;0;0;0;każdej
+466;1;0;0;inne
+466;2;0;0;kolana
+466;3;0;0;każdej kobiety
+466;4;0;0;inne perfumy
+466;5;0;0;na kolana
+466;6;0;0;dla każdej kobiety
+466;7;0;0;Naprawdę
+466;8;0;0;.
+466;9;1;0;powala na kolana inne perfumy
+466;10;1;1;Naprawdę pasuje dla każdej kobiety
+466;11;0;0;Naprawdę pasuje dla każdej kobiety i powala na kolana inne perfumy .
+256;0;0;0;starszych
+256;1;0;0;starszych kobiet
+256;2;0;0;.
+256;3;0;0;raczej
+256;4;0;0;dla starszych kobiet
+256;5;1;1;Dobry dla starszych kobiet raczej .
+176;0;0;0;Bardzo
+176;1;0;0;,
+176;2;1;1;Bardzo ładny
+176;3;0;0;.
+176;4;0;0;wzrok
+176;5;0;0;co
+176;6;1;1;Bardzo ładny flakon ,
+176;7;0;0;Bardzo ładny flakon , co przyciąga wzrok .
+59;0;0;0;bardzo
+59;1;0;0;.
+59;2;1;1;bardzo elegancki
+59;3;0;0;Produkt
+59;4;0;0;Produkt jest bardzo elegancki .
+955;0;0;0;bardzo
+955;1;1;1;godne
+955;2;0;0;naprawdę
+955;3;0;0;bardzo kobiece
+955;4;0;0;Perfumy
+955;5;0;0;.
+955;6;1;1;naprawdę godne uwagi
+955;7;0;0;Perfumy są bardzo kobiece
+955;8;0;0;Perfumy są bardzo kobiece i naprawdę godne uwagi .
+981;0;0;0;mi
+981;1;0;0;bardzo
+981;2;0;0;który
+981;3;0;0;,
+981;4;1;0;, który bardzo mi odpowiadał
+981;5;1;1;ciekawy
+981;6;0;0;.
+981;7;1;1;ciekawy zapach , który bardzo mi odpowiadał
+981;8;0;0;bardzo
+981;9;0;0;Posiada bardzo ciekawy zapach , który bardzo mi odpowiadał .
+506;0;0;0;dzień
+506;1;0;0;na dzień
+506;2;1;1;idealne
+506;3;0;0;mnie
+506;4;0;0;.
+506;5;1;1;idealne perfumy na dzień
+506;6;0;0;Dla mnie
+506;7;0;0;Dla mnie to idealne perfumy na dzień .
+457;0;0;0;świecie
+457;1;0;0;.
+457;2;0;0;na świecie
+457;3;1;1;najlepsze
+457;4;0;0;najlepsze perfumy na świecie .
+865;0;0;0;konwersacji
+865;1;1;1;wesołe
+865;2;0;0;Twoja
+865;3;0;0;zdolność konwersacji
+865;4;0;1;wesołe usposobienie
+865;5;0;0;,
+865;6;0;1;bystrość
+865;7;0;0;,
+865;8;0;0;inwencja
+865;9;0;0;,
+865;10;0;0;Twoja aktywność
+865;11;0;0;.
+865;12;1;1;przyjaciół
+865;13;0;0;Twoja aktywność , inwencja , bystrość , wesołe usposobienie i zdolność konwersacji
+865;14;0;0;Twoja aktywność , inwencja , bystrość , wesołe usposobienie i zdolność konwersacji przyciągają przyjaciół .
+977;0;0;0;biustonosza
+977;1;0;0;cielisty
+977;2;0;0;ten
+977;3;0;0;.
+977;4;0;0;ten cielisty kolor biustonosza
+977;5;0;0;Bardzo
+977;6;1;1;Bardzo lubię ten cielisty kolor biustonosza .
+316;0;0;0;nazwie
+316;1;1;0;miłości
+316;2;0;0;po nazwie
+316;3;0;0;perfum miłości
+316;4;0;0;wywnioskować po nazwie
+316;5;0;0;.
+316;6;0;0;to perfum miłości
+316;7;0;0;wywnioskować po nazwie jest
+316;8;0;0;Jak
+316;9;0;0;Jak można wywnioskować po nazwie jest to perfum miłości .
+25;0;0;0;rodzinnego
+25;1;0;0;środowiska rodzinnego
+25;2;0;0;głównie
+25;3;0;0;głównie ze środowiska rodzinnego
+25;4;-1;0;depresji
+25;5;0;0;zniechęcenia
+25;6;0;0;wyniesione głównie ze środowiska rodzinnego
+25;7;0;0;,
+25;8;0;0;wewnętrzne
+25;9;0;0;zniechęcenia i depresji
+25;10;0;0;problemy wewnętrzne , wyniesione głównie ze środowiska rodzinnego
+25;11;0;0;konflikty
+25;12;0;0;głębsze
+25;13;0;0;stanami zniechęcenia i depresji
+25;14;0;0;.
+25;15;0;0;głębsze konflikty i problemy wewnętrzne , wyniesione głównie ze środowiska rodzinnego
+25;16;0;0;zwykle
+25;17;0;0;się
+25;18;0;0;Za stanami zniechęcenia i depresji
+25;19;0;0;Za stanami zniechęcenia i depresji kryją się zwykle głębsze konflikty i problemy wewnętrzne , wyniesione głównie ze środowiska rodzinnego .
+329;0;0;0;pewnością
+329;1;0;0;spryskaniu
+329;2;0;0;każda
+329;3;0;1;znakomicie
+329;4;0;0;z pewnością
+329;5;0;0;się
+329;6;0;0;nią
+329;7;0;0;się
+329;8;0;0;po spryskaniu
+329;9;0;0;każda kobieta
+329;10;0;0;,
+329;11;1;1;godna
+329;12;0;0;!
+329;13;1;0;, każda kobieta po spryskaniu się nią poczuje się z pewnością znakomicie
+329;14;1;1;godna polecenia
+329;15;0;0;Woda godna polecenia , każda kobieta po spryskaniu się nią poczuje się z pewnością znakomicie !
+203;0;0;0;namiętnością
+203;1;0;0;pożądaniem
+203;2;0;0;.
+203;3;0;0;pożądaniem i namiętnością
+203;4;0;0;nie
+203;5;1;1;Miłość
+203;6;0;0;Miłość nie jest pożądaniem i namiętnością .
+207;0;0;0;ludzi
+207;1;0;-1;wypadków
+207;2;0;0;procent
+207;3;0;-1;winy ludzi
+207;4;0;0;80 procent wypadków
+207;5;0;0;z winy ludzi
+207;6;0;0;do 80 procent wypadków
+207;7;0;0;tymczasem
+207;8;0;0;prawda
+207;9;0;0;.
+207;10;0;0;tymczasem do 80 procent wypadków dochodzi z winy ludzi
+207;11;0;0;To prawda
+207;12;0;0;-
+207;13;0;0;- To prawda , tymczasem do 80 procent wypadków dochodzi z winy ludzi .
+450;0;1;1;przystępnej
+450;1;1;1;przystępnej cenie
+450;2;0;0;.
+450;3;1;1;w przystępnej cenie
+450;4;0;0;Jest w przystępnej cenie .
+421;0;0;0;młodego
+421;1;0;0;przystojnego
+421;2;0;0;tuż
+421;3;0;0;przystojnego młodego mężczyznę
+421;4;0;0;tuż obok
+421;5;0;0;,
+421;6;0;0;?
+421;7;0;0;, mając tuż obok przystojnego młodego mężczyznę
+421;8;0;1;okazję
+421;9;0;0;teraz
+421;10;0;0;Czyżby
+421;11;0;0;Czyżby teraz przepuściła okazję , mając tuż obok przystojnego młodego mężczyznę ?
+957;0;0;0;perfum
+957;1;0;0;flakonu perfum
+957;2;0;0;200ml flakonu perfum
+957;3;0;0;najbardziej
+957;4;0;0;.
+957;5;0;0;kupno 200ml flakonu perfum
+957;6;0;0;to
+957;7;1;1;najbardziej korzystny
+957;8;0;0;najbardziej korzystny zakup to kupno 200ml flakonu perfum .
+401;0;0;0;prowincji
+401;1;0;0;mu
+401;2;1;0;mistrz prowincji
+401;3;0;0;jednak
+401;4;0;0;które
+401;5;0;0;,
+401;6;0;0;, które jednak mistrz prowincji mu wydarł
+401;7;0;0;wielkie
+401;8;0;-1;wielkie łupy , które jednak mistrz prowincji mu wydarł
+401;9;0;0;Kujawy
+401;10;0;0;potem
+401;11;0;0;.
+401;12;0;0;zabrał wielkie łupy , które jednak mistrz prowincji mu wydarł
+401;13;0;0;Spustoszył potem Kujawy
+401;14;0;0;Spustoszył potem Kujawy i zabrał wielkie łupy , które jednak mistrz prowincji mu wydarł .
+859;0;0;0;miękkiego
+859;1;0;0;miękkiego materiału
+859;2;0;0;piersi
+859;3;1;1;dobrze
+859;4;0;0;,
+859;5;0;0;z miękkiego materiału
+859;6;0;0;.
+859;7;0;0;układa piersi
+859;8;1;1;, dobrze leży
+859;9;0;1;Wykonany z miękkiego materiału
+859;10;0;0;Wykonany z miękkiego materiału , dobrze leży i układa piersi .
+395;0;0;0;Warszawie
+395;1;0;0;Powązkach
+395;2;0;0;w Warszawie
+395;3;0;0;na Powązkach
+395;4;0;0;Cmentarzu na Powązkach w Warszawie
+395;5;0;0;lat
+395;6;0;0;na Cmentarzu na Powązkach w Warszawie
+395;7;0;0;wandali
+395;8;0;0;Kilka lat
+395;9;0;0;.
+395;10;0;0;mogiły na Cmentarzu na Powązkach w Warszawie
+395;11;-1;-1;ofiarą wandali
+395;12;0;0;Kilka lat temu
+395;13;0;0;Kilka lat temu ofiarą wandali padły mogiły na Cmentarzu na Powązkach w Warszawie .
+1062;0;0;0;bardzo
+1062;1;0;0;ten
+1062;2;0;0;.
+1062;3;0;0;jakościowo
+1062;4;1;1;bardzo dobry
+1062;5;0;0;Stanik ten
+1062;6;0;0;Stanik ten jest bardzo dobry jakościowo .
+1089;0;0;0;kupna
+1089;1;0;0;buteleczka
+1089;2;0;0;Opakowanie
+1089;3;0;0;.
+1089;4;0;0;do kupna
+1089;5;0;0;bardzo
+1089;6;0;0;Opakowanie i buteleczka
+1089;7;1;1;Opakowanie i buteleczka bardzo zachęcają do kupna .
+1047;0;0;0;świuadczy
+1047;1;0;0;czymś świuadczy
+1047;2;0;0;już
+1047;3;0;1;o czymś świuadczy
+1047;4;0;0;ten
+1047;5;0;0;już sam
+1047;6;0;0;już sam ten fakt o czymś świuadczy
+1047;7;0;0;bardziej
+1047;8;0;0;- już sam ten fakt o czymś świuadczy
+1047;9;0;0;bardziej popularnego
+1047;10;0;0;.
+1047;11;0;0;bardziej popularnego zapachu - już sam ten fakt o czymś świuadczy
+1047;12;0;0;nie
+1047;13;0;0;Chyba
+1047;14;0;0;Chyba nie ma bardziej popularnego zapachu - już sam ten fakt o czymś świuadczy .
+343;0;0;0;nawet
+343;1;0;0;prosta
+343;2;0;0;.
+343;3;1;1;nawet poręczna
+343;4;0;0;,
+343;5;0;0;Buteleczka prosta
+343;6;0;0;Buteleczka prosta , ale nawet poręczna .
+839;0;0;0;mojego
+839;1;0;0;mojego męża
+839;2;0;0;.
+839;3;0;0;woda
+839;4;0;0;Dla mojego męża
+839;5;1;0;Dla mojego męża woda pasowała .
+1041;0;0;0;rynku
+1041;1;0;0;obecnie
+1041;2;0;0;na rynku
+1041;3;0;0;toaletowych
+1041;4;1;1;najlepszych obecnie
+1041;5;1;1;najlepszych obecnie wód toaletowych na rynku
+1041;6;1;1;z najlepszych obecnie wód toaletowych na rynku
+1041;7;0;0;.
+1041;8;1;1;jedna z najlepszych obecnie wód toaletowych na rynku
+1041;9;0;0;Jest
+1041;10;0;0;Jest to jedna z najlepszych obecnie wód toaletowych na rynku .
+841;0;0;0;zapachu
+841;1;0;0;.
+841;2;0;0;nie
+841;3;0;0;nic
+841;4;0;0;na zapachu
+841;5;0;0;Ale
+841;6;-1;0;Ale na zapachu nic nie traci .
+389;0;0;0;każdej
+389;1;0;0;każdej sylwetki
+389;2;0;0;.
+389;3;0;0;do każdej sylwetki
+389;4;0;0;się
+389;5;1;1;Świetnie
+389;6;0;0;Świetnie dopasowuje się do każdej sylwetki .
+681;0;1;1;mocnej
+681;1;0;0;mocnej nucie
+681;2;0;0;,
+681;3;0;0;Intrygujący
+681;4;0;0;.
+681;5;0;0;o mocnej nucie
+681;6;0;0;bardzo
+681;7;1;0;Intrygujący zapach ,
+681;8;0;1;Intrygujący zapach , bardzo trwały o mocnej nucie .
+901;0;1;1;prawdziwego
+901;1;0;0;.
+901;2;1;1;prawdziwego mężczyzny
+901;3;0;0;Woda prawdziwego mężczyzny .
+339;0;0;0;luzaka
+339;1;0;0;- luzaka
+339;2;0;0;chłopaka - luzaka
+339;3;0;0;.
+339;4;0;0;do chłopaka - luzaka
+339;5;0;0;Nie
+339;6;1;1;Nie pasuje do chłopaka - luzaka .
+912;0;0;0;zdjęciu
+912;1;0;0;czarną
+912;2;0;0;na zdjęciu
+912;3;0;0;czarną biżuterią
+912;4;0;0;Szczególnie
+912;5;0;1;Pani na zdjęciu
+912;6;0;0;z czarną biżuterią
+912;7;0;0;się
+912;8;1;1;Szczególnie dobrze
+912;9;0;0;.
+912;10;0;0;u Pani na zdjęciu
+912;11;0;0;,
+912;12;1;0;Szczególnie dobrze komponuje się z czarną biżuterią
+912;13;0;0;Szczególnie dobrze komponuje się z czarną biżuterią , jak u Pani na zdjęciu .
+959;0;0;0;minut
+959;1;0;0;bezwartościowej
+959;2;0;0;innej
+959;3;0;0;kilkadziesiąt minut
+959;4;0;0;zastaw
+959;5;0;0;innej bezwartościowej rzeczy
+959;6;0;0;obrączki
+959;7;0;0;za kilkadziesiąt minut
+959;8;0;0;gotówki
+959;9;0;0;w zastaw
+959;10;0;0;obrączki lub innej bezwartościowej rzeczy
+959;11;0;0;zwrot gotówki za kilkadziesiąt minut
+959;12;0;0;pozostawienie obrączki lub innej bezwartościowej rzeczy w zastaw
+959;13;0;0;swym
+959;14;0;0;pozostawienie obrączki lub innej bezwartościowej rzeczy w zastaw i zwrot gotówki za kilkadziesiąt minut
+959;15;-1;0;swym ofiarom
+959;16;0;0;przekonujący
+959;17;0;0;Sprytny
+959;18;0;0;.
+959;19;0;0;swym ofiarom proponuje pozostawienie obrączki lub innej bezwartościowej rzeczy w zastaw i zwrot gotówki za kilkadziesiąt minut
+959;20;0;0;jest przekonujący
+959;21;0;0;Sprytny oszust
+959;22;0;0;Sprytny oszust jest przekonujący , swym ofiarom proponuje pozostawienie obrączki lub innej bezwartościowej rzeczy w zastaw i zwrot gotówki za kilkadziesiąt minut .
+1177;0;0;0;prezent
+1177;1;0;0;na prezent
+1177;2;1;1;idealny na prezent
+1177;3;0;0;!
+1177;4;1;1;- idealny na prezent
+1177;5;0;1;Panowie - idealny na prezent !
+844;0;0;0;minut
+844;1;-1;0;Zażarta
+844;2;0;0;.
+844;3;0;0;kilkadziesiąt minut
+844;4;0;0;Zażarta walka
+844;5;0;0;Zażarta walka trwała kilkadziesiąt minut .
+538;0;0;0;nadawania
+538;1;0;0;tym
+538;2;1;0;abonentów
+538;3;0;0;pasma nadawania
+538;4;0;0;z tym
+538;5;0;0;dla abonentów
+538;6;0;0;zmianą pasma nadawania
+538;7;0;0;z tym związanych
+538;8;0;0;technicznych
+538;9;1;1;szacunku dla abonentów
+538;10;0;0;ze zmianą pasma nadawania
+538;11;0;0;ciągłe
+538;12;0;0;takie
+538;13;0;0;technicznych problemach z tym związanych
+538;14;0;0;starsi
+538;15;-1;0;brak szacunku dla abonentów
+538;16;0;0;takie ciągłe zabawy ze zmianą pasma nadawania
+538;17;0;0;w technicznych problemach z tym związanych
+538;18;0;0;się
+538;19;0;0;Ludzie starsi
+538;20;-1;0;.
+538;21;0;0;takie ciągłe zabawy ze zmianą pasma nadawania to brak szacunku dla abonentów
+538;22;0;0;,
+538;23;0;0;Ludzie starsi gubią się w technicznych problemach z tym związanych
+538;24;0;0;-
+538;25;0;0;- Ludzie starsi gubią się w technicznych problemach z tym związanych , a takie ciągłe zabawy ze zmianą pasma nadawania to brak szacunku dla abonentów .
+28;0;0;0;rannych
+28;1;0;0;.
+28;2;1;0;stabilny
+28;3;0;0;Stan rannych
+28;4;0;0;Stan rannych jest stabilny .
+979;0;1;1;znany
+979;1;0;0;taki
+979;2;0;0;"
+979;3;0;0;taki znany zapach
+979;4;0;0;Przecież
+979;5;0;0;"
+979;6;0;0;" Przecież to taki znany zapach "
+979;7;0;0;.
+979;8;0;0;: " Przecież to taki znany zapach "
+979;9;0;0;Cytuję : " Przecież to taki znany zapach " .
+233;0;0;1;nowe
+233;1;0;0;nowe mdłości
+233;2;0;0;o nowe mdłości
+233;3;0;1;wolna
+233;4;0;0;przyprawiającego o nowe mdłości
+233;5;0;1;z wolna
+233;6;0;0;wielki
+233;7;0;0;obrzydzenia przyprawiającego o nowe mdłości
+233;8;0;1;z wolna zanikać
+233;9;-1;-1;wielki ból
+233;10;0;0;że
+233;11;0;0;,
+233;12;0;0;stanie obrzydzenia przyprawiającego o nowe mdłości
+233;13;0;0;.
+233;14;0;-1;, że wielki ból zaczyna z wolna zanikać
+233;15;0;0;nawet
+233;16;0;0;nie
+233;17;0;0;W stanie obrzydzenia przyprawiającego o nowe mdłości
+233;18;0;0;W stanie obrzydzenia przyprawiającego o nowe mdłości nie zauważył nawet , że wielki ból zaczyna z wolna zanikać .
+10;0;0;0;,
+10;1;1;1;Dobra
+10;2;0;0;.
+10;3;0;0;solidnie
+10;4;0;0;i
+10;5;0;0;ładnie
+10;6;1;0;Dobra bielizna ,
+10;7;0;1;Dobra bielizna , ładnie i solidnie uszyta .
+310;0;0;-1;szkołach
+310;1;0;0;szkół
+310;2;0;0;w szkołach
+310;3;0;0;własnego
+310;4;0;0;sprzątania szkół
+310;5;0;0;kuchni w szkołach
+310;6;0;0;własnego stołka
+310;7;0;0;wszystkim
+310;8;0;0;kuchni w szkołach i sprzątania szkół
+310;9;0;0;utrzymania własnego stołka
+310;10;0;0;przede wszystkim
+310;11;0;0;dzieci
+310;12;0;0;,
+310;13;0;0;kwestiach kuchni w szkołach i sprzątania szkół
+310;14;0;0;,
+310;15;0;0;tym
+310;16;0;0;.
+310;17;0;0;przede wszystkim chęć utrzymania własnego stołka
+310;18;0;0;się
+310;19;1;0;dobrem dzieci
+310;20;0;0;, w kwestiach kuchni w szkołach i sprzątania szkół ,
+310;21;0;0;poza tym
+310;22;0;0;A
+310;23;0;0;A poza tym , w kwestiach kuchni w szkołach i sprzątania szkół , dobrem dzieci zasłania się przede wszystkim chęć utrzymania własnego stołka .
+1183;0;0;0;odpowiedzialni
+1183;1;0;0;się
+1183;2;0;0;właśnie
+1183;3;0;0;odpowiedzialni kandydaci
+1183;4;0;0;zachowywać się
+1183;5;0;0;tak właśnie
+1183;6;0;0;że
+1183;7;0;0;,
+1183;8;0;0;.
+1183;9;0;0;, że tak właśnie powinni zachowywać się odpowiedzialni kandydaci
+1183;10;0;0;Myślę , że tak właśnie powinni zachowywać się odpowiedzialni kandydaci .
+1002;0;0;0;bardzo
+1002;1;0;0;flakonika
+1002;2;1;1;bardzo ciekawy
+1002;3;0;0;.
+1002;4;1;1;bardzo ciekawy design flakonika
+1002;5;0;0;również
+1002;6;0;0;Uwagę
+1002;7;0;0;Uwagę przyciąga również bardzo ciekawy design flakonika .
+299;0;1;0;głęboki
+299;1;0;0;.
+299;2;0;0;kobiecy
+299;3;0;0;aksamitny
+299;4;0;0;,
+299;5;0;0;Zapach głęboki
+299;6;0;0;Zapach głęboki , aksamitny , kobiecy .
+391;0;0;0;prezent
+391;1;0;0;na prezent
+391;2;1;1;dobry
+391;3;0;0;.
+391;4;1;1;dobry pomysł na prezent
+391;5;0;0;jest
+391;6;0;0;To jest dobry pomysł na prezent .
+745;0;0;0;wieczorowych
+745;1;0;0;sukienek wieczorowych
+745;2;0;0;.
+745;3;0;0;do sukienek wieczorowych
+745;4;1;1;Idealny do sukienek wieczorowych .
+143;0;0;0;Allegro
+143;1;1;0;spora
+143;2;0;0;)
+143;3;0;0;jako
+143;4;0;0;na Allegro
+143;5;0;-1;cena spora
+143;6;0;0;,
+143;7;0;0;jako ozdobę-żart )
+143;8;0;0;używać
+143;9;0;0;go
+143;10;0;0;go używać jako ozdobę-żart ) , cena spora ale na Allegro
+143;11;0;0;(
+143;12;0;0;( można go używać jako ozdobę-żart ) , cena spora ale na Allegro
+143;13;0;0;przeuroczo
+143;14;0;0;flakonik
+143;15;0;0;)
+143;16;0;0;.
+143;17;1;0;) flakonik przeuroczo wygląda ( można go używać jako ozdobę-żart ) , cena spora ale na Allegro
+143;18;0;0;: ) flakonik przeuroczo wygląda ( można go używać jako ozdobę-żart ) , cena spora ale na Allegro .
+688;0;0;0;bardzo
+688;1;0;0;całym
+688;2;0;0;.
+688;3;1;0;bardzo ładnie
+688;4;0;0;Perfum
+688;5;0;0;)
+688;6;0;0;całym świecie
+688;7;1;0;) Perfum bardzo ładnie pachnie .
+688;8;0;0;na całym świecie
+688;9;0;0;która
+688;10;0;0;światowa
+688;11;1;1;Świetna
+688;12;1;1;: ) Perfum bardzo ładnie pachnie .
+688;13;0;1;prym na całym świecie
+688;14;1;0;Świetna światowa marka która
+688;15;0;1;Świetna światowa marka która wiedzie prym na całym świecie : ) Perfum bardzo ładnie pachnie .
+835;0;0;0;,
+835;1;1;1;ładny
+835;2;0;0;szczególnego
+835;3;1;1;ładny , ale
+835;4;0;0;.
+835;5;0;0;nic szczególnego
+835;6;0;-1;niby ładny , ale
+835;7;0;0;Zapach niby ładny , ale nic szczególnego .
+487;0;0;0;subtelnie
+487;1;0;0;go
+487;2;0;0;,
+487;3;0;0;kobiecego
+487;4;0;0;push-up
+487;5;0;1;subtelnie unosząc
+487;6;0;0;, eksponując go
+487;7;0;0;kobiecego biustu
+487;8;0;0;typu push-up
+487;9;0;0;.
+487;10;0;0;, eksponując go i subtelnie unosząc
+487;11;1;0;piękno kobiecego biustu
+487;12;0;0;Miseczki typu push-up
+487;13;0;0;Miseczki typu push-up podkreślają piękno kobiecego biustu , eksponując go i subtelnie unosząc .
+685;0;0;0;letnie
+685;1;0;0;letnie wakacje
+685;2;0;0;.
+685;3;0;0;na letnie wakacje
+685;4;0;0;czegoś
+685;5;1;0;Propozycja czegoś na letnie wakacje .
+775;0;0;0;seksownej
+775;1;0;0;zmysłowej
+775;2;0;0;każdej
+775;3;0;0;Cherie-rewelacja
+775;4;1;0;każdej zmysłowej , seksownej
+775;5;1;0;Dior Cherie-rewelacja
+775;6;1;0;każdej zmysłowej , seksownej kobiety
+775;7;1;1;Miss Dior Cherie-rewelacja
+775;8;1;1;dla każdej zmysłowej , seksownej kobiety
+775;9;1;1;Dior Miss Dior Cherie-rewelacja
+775;10;0;0;.
+775;11;1;1;Christian Dior Miss Dior Cherie-rewelacja dla każdej zmysłowej , seksownej kobiety
+775;12;1;1;Polecam Christian Dior Miss Dior Cherie-rewelacja dla każdej zmysłowej , seksownej kobiety .
+259;0;0;0;skórze
+259;1;0;0;Bardzo
+259;2;0;0;na skórze
+259;3;0;0;bardzo
+259;4;0;0;,
+259;5;1;0;Bardzo wydajny
+259;6;0;0;.
+259;7;0;0;zapach na skórze
+259;8;0;0;się
+259;9;0;0;bardzo długo
+259;10;1;0;Bardzo wydajny perfum ,
+259;11;0;0;Bardzo wydajny perfum , bardzo długo utrzymuje się zapach na skórze .
+848;0;0;0;kwiatową
+848;1;1;1;wyraźną
+848;2;0;1;wyraźną kwiatową nutą
+848;3;0;0;z wyraźną kwiatową nutą
+848;4;0;0;, z wyraźną kwiatową nutą
+848;5;0;0;kobiecy
+848;6;0;0;zmysłowy
+848;7;0;0;bardzo
+848;8;0;0;.
+848;9;1;0;bardzo zmysłowy i kobiecy , z wyraźną kwiatową nutą
+848;10;0;0;jest bardzo zmysłowy i kobiecy , z wyraźną kwiatową nutą .
+373;0;1;1;klasyczny
+373;1;0;0;prosty
+373;2;0;0;prosty , klasyczny
+373;3;0;0;.
+373;4;0;0;prosty , klasyczny kształt
+373;5;0;0;Blue
+373;6;0;0;Light
+373;7;0;0;Flakon
+373;8;0;0;Flakon Light Blue ma prosty , klasyczny kształt .
+477;0;0;0;zdjęcia
+477;1;0;1;ze zdjęcia
+477;2;0;0;mojego
+477;3;0;0;mojego wyobrażenia ze zdjęcia
+477;4;0;0;od mojego wyobrażenia ze zdjęcia
+477;5;-1;1;odbiegającą od mojego wyobrażenia ze zdjęcia
+477;6;1;1;ślicznym
+477;7;-1;1;bieliznę odbiegającą od mojego wyobrażenia ze zdjęcia
+477;8;0;0;m
+477;9;1;0;ślicznym zdjęciem
+477;10;-1;0;otrzymała m bieliznę odbiegającą od mojego wyobrażenia ze zdjęcia
+477;11;1;0;skuszona ślicznym zdjęciem
+477;12;0;0;.
+477;13;-1;1;skuszona ślicznym zdjęciem a otrzymała m bieliznę odbiegającą od mojego wyobrażenia ze zdjęcia
+477;14;0;0;go
+477;15;0;0;m
+477;16;0;0;Zamówiła m go skuszona ślicznym zdjęciem a otrzymała m bieliznę odbiegającą od mojego wyobrażenia ze zdjęcia .
+649;0;0;0;nastoletnich
+649;1;0;0;nastoletnich mężczyzn
+649;2;0;0;.
+649;3;0;0;dla nastoletnich mężczyzn
+649;4;1;1;Dobry dla nastoletnich mężczyzn .
+553;0;1;1;wyższej
+553;1;0;0;tej
+553;2;0;1;tej wyższej półki
+553;3;0;0;perfum
+553;4;0;0;.
+553;5;0;1;z tej wyższej półki
+553;6;0;0;Cena perfum
+553;7;0;0;Cena perfum jest z tej wyższej półki .
+496;0;1;1;Ciekawe
+496;1;0;0;.
+496;2;0;0;kolory
+496;3;1;1;Ciekawe hafty
+496;4;0;0;Ciekawe hafty i kolory .
+165;0;0;0;urodziny
+165;1;0;0;jaki
+165;2;0;0;urodzinowym
+165;3;1;1;najlepszym
+165;4;0;0;na urodziny
+165;5;0;0;m
+165;6;0;0;kiedykolwiek
+165;7;1;1;najlepszym prezentem urodzinowym jaki
+165;8;0;0;.
+165;9;1;0;najlepszym prezentem urodzinowym jaki kiedykolwiek otrzymała m na urodziny
+165;10;0;0;się
+165;11;0;0;Perfumka
+165;12;0;0;Perfumka okazała się najlepszym prezentem urodzinowym jaki kiedykolwiek otrzymała m na urodziny .
+46;0;0;0;prostu
+46;1;0;0;po prostu
+46;2;0;0;samonośny
+46;3;0;0;Ten
+46;4;0;0;!
+46;5;-1;-1;po prostu okropny
+46;6;0;0;Ten samonośny biustonosz
+46;7;0;0;Ten samonośny biustonosz jest po prostu okropny !
+1160;0;0;0;początku
+1160;1;0;0;bardzo
+1160;2;0;0;z początku
+1160;3;0;1;bardzo obca
+1160;4;0;0;mnie
+1160;5;0;0;Herrera z początku
+1160;6;0;0;.
+1160;7;0;0;bardzo obca woda
+1160;8;0;0;dla mnie
+1160;9;0;0;była
+1160;10;0;0;Carolina Herrera z początku
+1160;11;0;0;Carolina Herrera z początku to była dla mnie bardzo obca woda .
+926;0;0;0;historycznej
+926;1;0;0;europejskiej
+926;2;0;0;europejskiej myśli historycznej
+926;3;0;1;głęboką
+926;4;0;0;głęboką analizę europejskiej myśli historycznej
+926;5;0;0;o głęboką analizę europejskiej myśli historycznej
+926;6;0;0;bardzo
+926;7;0;0;zawsze
+926;8;0;0;opartych o głęboką analizę europejskiej myśli historycznej
+926;9;0;0;zawsze bardzo konkretnych
+926;10;0;0;zawsze bardzo konkretnych , opartych o głęboką analizę europejskiej myśli historycznej
+926;11;0;0;,
+926;12;0;0;jego
+926;13;0;0;jego wystąpień , zawsze bardzo konkretnych , opartych o głęboką analizę europejskiej myśli historycznej
+926;14;0;0;.
+926;15;0;0;lektura jego wystąpień , zawsze bardzo konkretnych , opartych o głęboką analizę europejskiej myśli historycznej
+926;16;0;0;Fascynująca
+926;17;0;0;Fascynująca jest lektura jego wystąpień , zawsze bardzo konkretnych , opartych o głęboką analizę europejskiej myśli historycznej .
+437;0;0;0;tego
+437;1;0;0;zbyt
+437;2;0;0;tego biustonosza
+437;3;0;0;.
+437;4;-1;-1;zbyt wysoka
+437;5;0;0;cena tego biustonosza
+437;6;0;0;Jedynie
+437;7;0;0;Jedynie cena tego biustonosza jest zbyt wysoka .
+874;0;0;0;)
+874;1;0;0;przynajmniej )
+874;2;0;0;mojej przynajmniej )
+874;3;0;0;( mojej przynajmniej )
+874;4;0;0;skórze ( mojej przynajmniej )
+874;5;0;0;tym
+874;6;0;0;na skórze ( mojej przynajmniej )
+874;7;0;0;się
+874;8;0;0;ładnie
+874;9;0;0;niesamowicie
+874;10;0;0;jest
+874;11;0;0;Przy tym
+874;12;0;0;.
+874;13;1;1;ładnie rozwija się na skórze ( mojej przynajmniej )
+874;14;1;1;Przy tym jest niesamowicie trwały
+874;15;0;1;Przy tym jest niesamowicie trwały i ładnie rozwija się na skórze ( mojej przynajmniej ) .
+467;0;0;0;ustach
+467;1;0;0;na ustach
+467;2;0;0;czerwoną
+467;3;0;0;takiej
+467;4;0;0;starszej
+467;5;0;0;czerwoną pomadką na ustach
+467;6;0;0;starszej kobiety takiej
+467;7;0;0;z czerwoną pomadką na ustach
+467;8;0;0;dla starszej kobiety takiej
+467;9;0;0;.
+467;10;1;1;fajne dla starszej kobiety takiej z czerwoną pomadką na ustach
+467;11;0;1;Może fajne dla starszej kobiety takiej z czerwoną pomadką na ustach .
+878;0;0;0;taka
+878;1;0;0;taka wodę
+878;2;0;0;na taka wodę
+878;3;1;1;wysoka
+878;4;-1;0;wysoka jak na taka wodę
+878;5;0;0;.
+878;6;-1;0;za wysoka jak na taka wodę
+878;7;0;0;cena
+878;8;0;0;Jedynie
+878;9;0;0;Jedynie cena jest za wysoka jak na taka wodę .
+1198;0;0;0;ludzkości
+1198;1;0;0;przeciwko ludzkości
+1198;2;0;-1;zbrodnie przeciwko ludzkości
+1198;3;0;0;ludobójstwo
+1198;4;0;0;ludobójstwo i zbrodnie przeciwko ludzkości
+1198;5;0;0;o ludobójstwo i zbrodnie przeciwko ludzkości
+1198;6;-1;0;oskarżonego o ludobójstwo i zbrodnie przeciwko ludzkości
+1198;7;0;0;brytyjscy
+1198;8;0;0;amerykańscy
+1198;9;0;0;człowieka oskarżonego o ludobójstwo i zbrodnie przeciwko ludzkości
+1198;10;0;0;amerykańscy i brytyjscy
+1198;11;0;0;poszukiwań człowieka oskarżonego o ludobójstwo i zbrodnie przeciwko ludzkości
+1198;12;0;0;.
+1198;13;0;0;amerykańscy i brytyjscy agenci
+1198;14;0;0;się
+1198;15;0;0;Do poszukiwań człowieka oskarżonego o ludobójstwo i zbrodnie przeciwko ludzkości
+1198;16;0;0;Do poszukiwań człowieka oskarżonego o ludobójstwo i zbrodnie przeciwko ludzkości włączyli się amerykańscy i brytyjscy agenci .
+142;0;0;0;się
+142;1;0;0;młodych
+142;2;0;1;wyróżniających się
+142;3;0;1;wyróżniających się młodych Polaków
+142;4;0;1;nagradzanie wyróżniających się młodych Polaków
+142;5;0;0;Wałęsy
+142;6;0;0;na nagradzanie wyróżniających się młodych Polaków
+142;7;0;0;nim
+142;8;0;0;Lecha Wałęsy
+142;9;0;0;.
+142;10;0;0;puli na nagradzanie wyróżniających się młodych Polaków
+142;11;0;0;w nim
+142;12;0;0;nie
+142;13;0;0;Administracja Lecha Wałęsy
+142;14;0;0;Administracja Lecha Wałęsy nie przewidziała w nim puli na nagradzanie wyróżniających się młodych Polaków .
+382;0;0;0;każdej
+382;1;0;0;każdej kobiety
+382;2;0;0;dla każdej kobiety
+382;3;0;0;prezent dla każdej kobiety
+382;4;0;0;.
+382;5;0;0;na prezent dla każdej kobiety
+382;6;0;0;się
+382;7;1;1;Świetnie
+382;8;0;0;Świetnie nadaje się na prezent dla każdej kobiety .
+231;0;0;0;zmysłowego
+231;1;0;0;zmysłowego różu
+231;2;0;0;kobiecie
+231;3;0;0;każdej
+231;4;0;1;kolorze zmysłowego różu
+231;5;0;0;.
+231;6;0;0;nastrój każdej kobiecie
+231;7;0;0;w kolorze zmysłowego różu
+231;8;0;0;up
+231;9;0;0;Push
+231;10;1;1;Push up w kolorze zmysłowego różu poprawi nastrój każdej kobiecie .
+1023;0;0;0;tych
+1023;1;0;0;tych perfum
+1023;2;0;0;kupna tych perfum
+1023;3;0;0;od kupna tych perfum
+1023;4;0;0;który
+1023;5;0;0;,
+1023;6;-1;-1;, który odrzuca od kupna tych perfum
+1023;7;0;0;.
+1023;8;-1;-1;mankament , który odrzuca od kupna tych perfum
+1023;9;0;0;Cena-to
+1023;10;0;0;Cena-to jest mankament , który odrzuca od kupna tych perfum .
+459;0;0;0;gwiazdkę
+459;1;0;0;na gwiazdkę
+459;2;1;1;Fajny
+459;3;0;0;Fajny prezent na gwiazdkę
+72;0;1;0;najbliższej
+72;1;0;0;najbliższej osoby
+72;2;0;1;zrozumieniem najbliższej osoby
+72;3;0;0;dalekosiężne
+72;4;0;0;Twoje
+72;5;0;0;.
+72;6;0;1;ze zrozumieniem najbliższej osoby
+72;7;0;0;się
+72;8;0;0;Twoje dalekosiężne projekty
+72;9;0;0;Twoje dalekosiężne projekty spotkają się ze zrozumieniem najbliższej osoby .
+630;0;0;0;bardzo
+630;1;0;0;tego
+630;2;-1;-1;bardzo niewygodny
+630;3;0;0;-
+630;4;0;0;tego stanika
+630;5;0;0;nie
+630;6;0;0;.
+630;7;-1;0;- jest bardzo niewygodny
+630;8;0;1;z tego stanika
+630;9;0;1;nie jestem
+630;10;0;0;ja
+630;11;0;0;Jednak
+630;12;1;1;Jednak ja nie jestem zadowolona z tego stanika - jest bardzo niewygodny .
+1057;0;1;1;atrakcyjna
+1057;1;0;0;swoja
+1057;2;0;0;to
+1057;3;1;1;swoja atrakcyjna cenę
+1057;4;0;0;za to
+1057;5;1;1;za swoja atrakcyjna cenę
+1057;6;0;0;kobieta
+1057;7;0;0;się
+1057;8;0;0;ze
+1057;9;0;0;dostają za to
+1057;10;0;0;6
+1057;11;0;0;.
+1057;12;1;0;7 za swoja atrakcyjna cenę
+1057;13;1;0;6 dostają za to ze podobają się kobieta
+1057;14;0;0;6 dostają za to ze podobają się kobieta a 7 za swoja atrakcyjna cenę .
+186;0;1;0;zadbanym
+186;1;1;1;zadbanym mężczyzną
+186;2;0;-1;tajemniczym
+186;3;0;0;,
+186;4;0;0;seksownym
+186;5;1;1;seksownym , tajemniczym i zadbanym mężczyzną
+186;6;1;1;z seksownym , tajemniczym i zadbanym mężczyzną
+186;7;1;0;się z seksownym , tajemniczym i zadbanym mężczyzną
+186;8;0;0;.
+186;9;1;0;mi się z seksownym , tajemniczym i zadbanym mężczyzną
+186;10;0;0;Kolarzy mi się z seksownym , tajemniczym i zadbanym mężczyzną .
+17;0;0;0;randki
+17;1;0;0;.
+17;2;0;0;na randki
+17;3;1;0;Obowiązkowy na randki .
+266;0;0;0;lato
+266;1;0;0;na lato
+266;2;0;0;najbardziej
+266;3;0;0;jak
+266;4;1;1;jak najbardziej polecam na lato
+852;0;0;0;następstw
+852;1;1;1;pozytywny
+852;2;0;0;naszej
+852;3;0;0;pozytywny ciąg następstw
+852;4;0;0;naszej firmie
+852;5;0;0;.
+852;6;0;0;w pozytywny ciąg następstw
+852;7;0;0;się
+852;8;0;0;wszystko
+852;9;0;0;W naszej firmie
+852;10;0;1;W naszej firmie wszystko układa się w pozytywny ciąg następstw .
+762;0;0;0;tzw
+762;1;0;0;z tzw
+762;2;0;0;kreacjii z tzw
+762;3;0;0;faktycznie
+762;4;0;0;do kreacjii z tzw
+762;5;0;0;faktycznie bardzo
+762;6;0;0;.
+762;7;1;1;faktycznie bardzo przydatny do kreacjii z tzw
+762;8;0;0;Biustonosz
+762;9;0;0;Biustonosz jest faktycznie bardzo przydatny do kreacjii z tzw .
+980;0;0;0;samego
+980;1;0;0;samego biustonosza
+980;2;0;0;bardzo
+980;3;0;0;do samego biustonosza
+980;4;0;0;.
+980;5;1;1;bardzo uroczy
+980;6;0;0;wracając do samego biustonosza
+980;7;0;0;Ale
+980;8;0;0;Ale wracając do samego biustonosza jest bardzo uroczy .
+202;0;0;0;skóry
+202;1;0;0;lato
+202;2;0;0;typu skóry
+202;3;0;0;skórze
+202;4;0;0;,
+202;5;0;0;na lato
+202;6;0;0;,
+202;7;0;0;od typu skóry
+202;8;0;0;też
+202;9;0;0;to
+202;10;0;0;na skórze
+202;11;0;0;się
+202;12;0;0;długo
+202;13;1;1;, super na lato ,
+202;14;0;0;Orzeźwiający
+202;15;0;0;to zależy też od typu skóry
+202;16;0;0;(
+202;17;1;0;Orzeźwiający , super na lato , długo się utrzymuje na skórze
+202;18;0;0;.
+202;19;1;0;Orzeźwiający , super na lato , długo się utrzymuje na skórze ( choć to zależy też od typu skóry
+202;20;0;0;Orzeźwiający , super na lato , długo się utrzymuje na skórze ( choć to zależy też od typu skóry ) .
+623;0;0;0;technicznie
+623;1;0;1;sprawnych technicznie
+623;2;0;0;dekoracyjnych
+623;3;0;1;dekoracyjnych i sprawnych technicznie
+623;4;0;1;dekoracyjnych i sprawnych technicznie obrazów
+623;5;-1;0;raczej
+623;6;0;0;,
+623;7;0;1;tworzeniem dekoracyjnych i sprawnych technicznie obrazów
+623;8;0;0;,
+623;9;0;0;artystyczne
+623;10;0;0;których
+623;11;0;0;raczej mizerne
+623;12;0;0;, poza tworzeniem dekoracyjnych i sprawnych technicznie obrazów ,
+623;13;0;0;których zasługi artystyczne
+623;14;0;0;,
+623;15;0;0;cenowe
+623;16;1;1;najwybitniejszych
+623;17;0;0;jej
+623;18;1;0;, których zasługi artystyczne , poza tworzeniem dekoracyjnych i sprawnych technicznie obrazów , są raczej mizerne
+623;19;0;0;liczni
+623;20;0;0;cenowe szczyty
+623;21;0;0;jej najwybitniejszych przedstawicielach
+623;22;0;0;.
+623;23;0;0;liczni malarze , których zasługi artystyczne , poza tworzeniem dekoracyjnych i sprawnych technicznie obrazów , są raczej mizerne
+623;24;0;0;się
+623;25;0;0;na cenowe szczyty
+623;26;0;0;Po jej najwybitniejszych przedstawicielach
+623;27;0;0;Po jej najwybitniejszych przedstawicielach na cenowe szczyty dostali się liczni malarze , których zasługi artystyczne , poza tworzeniem dekoracyjnych i sprawnych technicznie obrazów , są raczej mizerne .
+140;0;0;0;seksowny
+140;1;1;1;śliczny
+140;2;0;0;bardzo
+140;3;1;1;bardzo śliczny i seksowny
+140;4;0;0;Ten
+140;5;0;0;.
+140;6;1;1;naprawdę bardzo śliczny i seksowny
+140;7;0;0;Ten biustonosz
+140;8;0;0;Ten biustonosz jest naprawdę bardzo śliczny i seksowny .
+148;0;0;0;obcisłej
+148;1;0;0;obcisłej bluzce
+148;2;0;0;miseczki
+148;3;0;0;w obcisłej bluzce
+148;4;1;1;dobrze
+148;5;0;0;będzie
+148;6;0;0;gładka
+148;7;0;0;Reszta miseczki
+148;8;0;0;.
+148;9;1;1;będzie dobrze wyglądać w obcisłej bluzce
+148;10;0;0;,
+148;11;0;0;Reszta miseczki jest gładka
+148;12;0;0;Reszta miseczki jest gładka , więc będzie dobrze wyglądać w obcisłej bluzce .
+462;0;1;1;rewelacji
+462;1;0;0;,
+462;2;0;0;.
+462;3;-1;0;, bez rewelacji
+462;4;0;0;butelka
+462;5;0;0;Zwykła butelka , bez rewelacji .
+820;0;0;0;dzień
+820;1;0;0;.
+820;2;0;0;na dzień
+820;3;1;1;Idealny na dzień .
+289;0;0;0;Zwiefkę
+289;1;0;0;Tadeusza Zwiefkę
+289;2;0;0;na Tadeusza Zwiefkę
+289;3;0;0;głosowania na Tadeusza Zwiefkę
+289;4;0;0;do głosowania na Tadeusza Zwiefkę
+289;5;1;0;zachęcających do głosowania na Tadeusza Zwiefkę
+289;6;0;0;,
+289;7;0;0;Wolności
+289;8;0;0;plakatów , zachęcających do głosowania na Tadeusza Zwiefkę
+289;9;0;0;jeszcze
+289;10;0;0;placu Wolności
+289;11;0;0;.
+289;12;0;0;kilka plakatów , zachęcających do głosowania na Tadeusza Zwiefkę
+289;13;0;0;jeszcze wtedy
+289;14;0;0;Na placu Wolności
+289;15;0;0;Na placu Wolności wisiało jeszcze wtedy kilka plakatów , zachęcających do głosowania na Tadeusza Zwiefkę .
+327;0;1;1;dojrzałych
+327;1;0;0;dojrzałych panów
+327;2;0;0;.
+327;3;0;0;dla dojrzałych panów
+327;4;0;0;toaletowa
+327;5;0;0;Męska
+327;6;0;0;Męska woda toaletowa dla dojrzałych panów .
+162;0;1;1;nietuzinkowy
+162;1;0;0;jestcudowny
+162;2;1;0;jestcudowny i nietuzinkowy
+162;3;1;0;mnie jestcudowny i nietuzinkowy
+162;4;0;0;.
+162;5;1;1;wg mnie jestcudowny i nietuzinkowy
+162;6;0;0;Zapach wg mnie jestcudowny i nietuzinkowy .
+927;0;0;0;nasze
+927;1;0;0;flakonu
+927;2;-1;0;Matowe
+927;3;0;0;.
+927;4;0;0;nasze emocje
+927;5;0;0;Matowe szkło flakonu
+927;6;0;0;Matowe szkło flakonu chłodzi nasze emocje .
+1056;0;0;0;specjalne
+1056;1;0;0;rosyjskie
+1056;2;0;-1;rosyjskie służby specjalne
+1056;3;0;0;przez rosyjskie służby specjalne
+1056;4;0;0;uwolnione przez rosyjskie służby specjalne
+1056;5;0;0;sobotę
+1056;6;1;1;przyjaciele
+1056;7;0;0;Rodzina
+1056;8;0;0;.
+1056;9;0;0;uwolnione przez rosyjskie służby specjalne Polki
+1056;10;0;0;w sobotę
+1056;11;0;0;Rodzina i przyjaciele
+1056;12;0;0;Rodzina i przyjaciele powitali w sobotę uwolnione przez rosyjskie służby specjalne Polki .
+71;0;0;0;bardzo
+71;1;1;1;bardzo korzystną
+71;2;0;1;bardzo korzystną ofertą
+71;3;0;0;z bardzo korzystną ofertą
+71;4;0;0;że
+71;5;0;0;,
+71;6;0;0;.
+71;7;0;1;, że przychodzą z bardzo korzystną ofertą
+71;8;0;0;Mężczyźni
+71;9;0;0;Mężczyźni zakomunikowali , że przychodzą z bardzo korzystną ofertą .
+86;0;0;0;również
+86;1;0;0;Sam
+86;2;0;0;.
+86;3;0;0;się
+86;4;1;1;również świetnie
+86;5;0;0;Sam stanik
+86;6;0;1;Sam stanik również świetnie się prezentuje .
+193;0;0;0;bardziej
+193;1;0;0;bardziej mandarynka
+193;2;0;0;to bardziej mandarynka
+193;3;0;0;główna
+193;4;0;0;nie
+193;5;0;0;bardzo
+193;6;0;0;główna nuta to bardziej mandarynka
+193;7;0;0;cynamonem
+193;8;0;0;,
+193;9;0;0;bardzo nie rozwijały
+193;10;0;0;cynamonem choć główna nuta to bardziej mandarynka
+193;11;0;0;za bardzo nie rozwijały ,
+193;12;0;0;się
+193;13;0;0;:/
+193;14;0;0;się za bardzo nie rozwijały , pachnie cynamonem choć główna nuta to bardziej mandarynka
+193;15;0;0;Nuty
+193;16;0;0;Nuty jakby się za bardzo nie rozwijały , pachnie cynamonem choć główna nuta to bardziej mandarynka :/
+546;0;1;0;poręczny
+546;1;0;0;toaletce
+546;2;1;0;toaletce i poręczny
+546;3;0;0;.
+546;4;1;0;na toaletce i poręczny
+546;5;0;0;się
+546;6;0;0;ładnie
+546;7;0;0;Flakonik
+546;8;0;1;Flakonik ładnie prezentuje się na toaletce i poręczny .
+1039;0;0;0;razu
+1039;1;0;0;tej
+1039;2;0;0;mnie
+1039;3;0;0;od razu
+1039;4;0;0;tej wody
+1039;5;0;0;.
+1039;6;1;1;od razu mnie urzekł
+1039;7;0;0;Zapach tej wody
+1039;8;0;1;Zapach tej wody jednak od razu mnie urzekł .
+453;0;0;0;swojej
+453;1;0;0;swojej toaletce
+453;2;0;1;w swojej toaletce
+453;3;0;0;go
+453;4;1;0;wysokie
+453;5;0;0;sobie
+453;6;0;0;Każda
+453;7;0;0;.
+453;8;0;0;go mieć w swojej toaletce
+453;9;0;1;wysokie standardy
+453;10;0;0;ceniąca sobie
+453;11;0;0;Każda kobieta
+453;12;0;0;Każda kobieta ceniąca sobie wysokie standardy powinna go mieć w swojej toaletce .
+720;0;0;-1;złośliwego
+720;1;0;-1;złośliwego chłoniaka
+720;2;0;0;Nieleczona
+720;3;0;0;.
+720;4;0;0;w złośliwego chłoniaka
+720;5;0;0;się
+720;6;0;0;Nieleczona choroba
+720;7;0;0;Nieleczona choroba przerodziła się w złośliwego chłoniaka .
+263;0;1;0;głębokim
+263;1;0;0;lekkim
+263;2;0;0;lekkim głębokim zabariwieniem
+263;3;0;0;.
+263;4;0;0;z lekkim głębokim zabariwieniem
+263;5;0;0;zapach
+263;6;0;0;Swiezy zapach z lekkim głębokim zabariwieniem .
+31;0;1;1;lepszego
+31;1;0;0;lepszego ściśnięcia
+31;2;0;0;przodu
+31;3;0;0;piersi
+31;4;0;0;dla lepszego ściśnięcia
+31;5;0;0;środka przodu
+31;6;0;0;stronę środka przodu dla lepszego ściśnięcia piersi
+31;7;0;0;w stronę środka przodu dla lepszego ściśnięcia piersi
+31;8;0;0;bardziej
+31;9;0;0;bardziej ścisnąć w stronę środka przodu dla lepszego ściśnięcia piersi
+31;10;0;0;środkowo
+31;11;0;0;Fiszbinę
+31;12;0;0;Fiszbinę środkowo można bardziej ścisnąć w stronę środka przodu dla lepszego ściśnięcia piersi
+786;0;0;0;flakony
+786;1;1;1;Ciekawy
+786;2;0;0;kupującego
+786;3;0;0;kolor flakony
+786;4;1;1;Ciekawy kształt
+786;5;0;0;.
+786;6;0;0;uwagę kupującego
+786;7;0;0;zdecydowanie
+786;8;1;1;Ciekawy kształt i kolor flakony
+786;9;0;0;Ciekawy kształt i kolor flakony zdecydowanie przyciąga uwagę kupującego .
+748;0;0;0;oczu
+748;1;0;0;oderwać oczu
+748;2;0;0;nie
+748;3;0;0;którego
+748;4;1;1;nie można oderwać oczu
+748;5;0;0;od którego
+748;6;0;0;,
+748;7;1;1;, od którego poprostu nie można oderwać oczu
+748;8;0;0;upem
+748;9;1;1;efektownym
+748;10;1;1;efektownym push upem , od którego poprostu nie można oderwać oczu
+748;11;0;0;przodzie
+748;12;1;1;z efektownym push upem , od którego poprostu nie można oderwać oczu
+748;13;0;0;na przodzie
+748;14;0;0;satynowa
+748;15;1;1;tu z efektownym push upem , od którego poprostu nie można oderwać oczu
+748;16;0;0;się
+748;17;0;0;słodko
+748;18;0;0;satynowa kokardka na przodzie
+748;19;0;0;.
+748;20;1;1;satynowa kokardka na przodzie słodko komponuje się tu z efektownym push upem , od którego poprostu nie można oderwać oczu
+748;21;0;0;Mała
+748;22;0;0;Mała , satynowa kokardka na przodzie słodko komponuje się tu z efektownym push upem , od którego poprostu nie można oderwać oczu .
+808;0;0;0;zmysłowa
+808;1;0;0;kobieca
+808;2;0;0;bardzo
+808;3;1;0;Subtelna
+808;4;0;0;.
+808;5;1;0;bardzo kobieca i zmysłowa
+808;6;0;0;Subtelna koronka
+808;7;0;0;Subtelna koronka jest bardzo kobieca i zmysłowa .
+229;0;0;0;dam
+229;1;0;1;z dam
+229;2;0;1;każdej z dam
+229;3;0;1;u każdej z dam
+229;4;0;0;.
+229;5;0;1;gwarantowany u każdej z dam
+229;6;0;0;Efekt gwarantowany u każdej z dam .
+793;0;1;1;silny
+793;1;0;0;-
+793;2;0;0;- silny ,
+793;3;0;0;tytule - silny ,
+793;4;0;0;w tytule - silny ,
+793;5;0;0;kwiatowy
+793;6;1;0;w tytule - silny , urzekający
+793;7;0;0;.
+793;8;1;0;w tytule - silny , urzekający , kwiatowy
+793;9;0;0;Jak
+793;10;0;0;Jak w tytule - silny , urzekający , kwiatowy zapach .
+615;0;0;0;letnie
+615;1;0;0;letnie wieczory
+615;2;0;0;na letnie wieczory
+615;3;0;0;.
+615;4;0;1;godny na letnie wieczory
+615;5;0;1;Polecenia godny na letnie wieczory .
+946;0;0;0;toaletowej
+946;1;0;0;tej
+946;2;0;0;Bardzo
+946;3;0;0;prezecie
+946;4;0;0;tej wody toaletowej
+946;5;1;1;Bardzo ciekawy
+946;6;0;0;w prezecie
+946;7;0;0;ją
+946;8;0;0;em
+946;9;1;0;Bardzo ciekawy wygląd tej wody toaletowej
+946;10;0;0;.
+946;11;0;0;dostał em ją w prezecie
+946;12;0;0;,
+946;13;1;1;Bardzo ciekawy wygląd tej wody toaletowej sprawił
+946;14;0;0;Bardzo ciekawy wygląd tej wody toaletowej sprawił , że dostał em ją w prezecie .
+858;0;0;0;biustonoszy
+858;1;0;0;!
+858;2;0;0;wśród biustonoszy
+858;3;1;1;Prawdziwa
+858;4;0;0;Prawdziwa perła wśród biustonoszy !
+914;0;0;0;lato
+914;1;0;0;.
+914;2;0;0;na lato
+914;3;1;1;Świetny na lato .
+636;0;0;0;ziemi
+636;1;1;1;silnych
+636;2;0;0;po ziemi
+636;3;0;0;mocno
+636;4;0;0;,
+636;5;1;1;kobiet silnych
+636;6;0;0;, mocno stąpających po ziemi
+636;7;1;1;dla kobiet silnych
+636;8;0;0;tylko
+636;9;1;0;tylko stworzony dla kobiet silnych , mocno stąpających po ziemi
+636;10;0;0;,
+636;11;0;0;.
+636;12;1;0;, że tylko stworzony dla kobiet silnych , mocno stąpających po ziemi
+636;13;0;0;jednak
+636;14;0;0;Uważam jednak , że tylko stworzony dla kobiet silnych , mocno stąpających po ziemi .
+697;0;0;0;bardzo
+697;1;0;0;dokładnie
+697;2;1;0;bardzo starannie
+697;3;1;1;wysoka
+697;4;0;0;nie
+697;5;0;0;cena
+697;6;1;1;bardzo starannie i dokładnie
+697;7;0;0;jest
+697;8;0;0;Biustonosz
+697;9;0;0;.
+697;10;1;0;cena nie jest wysoka
+697;11;1;0;Biustonosz jest wykonany bardzo starannie i dokładnie
+697;12;0;0;Biustonosz jest wykonany bardzo starannie i dokładnie , cena nie jest wysoka .
+155;0;0;0;nożną
+155;1;0;0;piłką nożną
+155;2;0;0;z piłką nożną
+155;3;0;0;piłkarskiej
+155;4;0;1;pięknej
+155;5;0;0;przygody z piłką nożną
+155;6;0;0;pięknej piłkarskiej kariery
+155;7;0;0;.
+155;8;0;0;końca przygody z piłką nożną
+155;9;0;0;nie
+155;10;0;0;wcale
+155;11;0;0;Zakończenie pięknej piłkarskiej kariery
+155;12;0;0;Zakończenie pięknej piłkarskiej kariery wcale nie oznaczało końca przygody z piłką nożną .
+621;0;-1;0;lewe
+621;1;1;0;swoje
+621;2;0;0;wolności
+621;3;0;0;swoje lewe interesy
+621;4;0;0;dalej
+621;5;0;0;majątek
+621;6;0;0;na wolności
+621;7;0;0;żadnego
+621;8;0;0;jego
+621;9;0;1;pomoc
+621;10;0;0;dalej prowadzi swoje lewe interesy
+621;11;0;0;sprzedaje majątek
+621;12;0;0;,
+621;13;0;0;chodzi na wolności
+621;14;0;0;Komor
+621;15;0;1;żadnego skutku
+621;16;0;0;nie
+621;17;0;0;jego zeznania
+621;18;0;0;o pomoc
+621;19;0;0;,
+621;20;0;0;Komor chodzi na wolności , sprzedaje majątek i dalej prowadzi swoje lewe interesy
+621;21;0;0;,
+621;22;0;1;jego zeznania nie przyniosły żadnego skutku
+621;23;0;0;że
+621;24;0;0;,
+621;25;0;0;.
+621;26;0;0;dziennikarzy
+621;27;0;0;prośbą o pomoc
+621;28;0;0;, że jego zeznania nie przyniosły żadnego skutku , a Komor chodzi na wolności , sprzedaje majątek i dalej prowadzi swoje lewe interesy ,
+621;29;0;0;P .
+621;30;0;0;.
+621;31;0;0;do dziennikarzy
+621;32;0;0;z prośbą o pomoc
+621;33;0;0;się
+621;34;0;0;widząc , że jego zeznania nie przyniosły żadnego skutku , a Komor chodzi na wolności , sprzedaje majątek i dalej prowadzi swoje lewe interesy ,
+621;35;0;0;Darek P .
+621;36;0;0;Darek P . widząc , że jego zeznania nie przyniosły żadnego skutku , a Komor chodzi na wolności , sprzedaje majątek i dalej prowadzi swoje lewe interesy , zwrócił się z prośbą o pomoc do dziennikarzy .
+54;0;0;0;ciała
+54;1;0;0;do ciała
+54;2;0;0;.
+54;3;1;0;przyjemny do ciała
+54;4;0;0;Jest przyjemny do ciała .
+827;0;0;0;prawego
+827;1;0;0;roku
+827;2;0;0;prawego płuca
+827;3;0;0;górnym
+827;4;0;0;1996 roku
+827;5;0;-1;złośliwy
+827;6;0;0;niewielki
+827;7;0;0;górnym płatem prawego płuca
+827;8;0;0;wraz
+827;9;0;0;grudniu 1996 roku
+827;10;0;0;.
+827;11;0;0;niewielki nowotwór złośliwy
+827;12;0;0;wraz z górnym płatem prawego płuca
+827;13;0;0;Havlovi
+827;14;0;0;W grudniu 1996 roku
+827;15;0;0;W grudniu 1996 roku Havlovi wraz z górnym płatem prawego płuca usunięto niewielki nowotwór złośliwy .
+887;0;1;0;pobudzający
+887;1;0;0;bardzo
+887;2;0;0;.
+887;3;1;0;pobudzający zapach
+887;4;1;0;bardzo seksowny
+887;5;0;1;bardzo seksowny i pobudzający zapach .
+895;0;0;0;młodego
+895;1;0;0;młodego człowieka
+895;2;0;0;wrażliwą
+895;3;0;0;synowskie
+895;4;1;1;piękne
+895;5;0;1;wrażliwą duszę młodego człowieka
+895;6;0;0;mocno
+895;7;0;1;piękne synowskie uczucie
+895;8;0;0;Bezpowrotnie
+895;9;0;0;.
+895;10;0;0;mocno poranił wrażliwą duszę młodego człowieka
+895;11;0;0;Bezpowrotnie stracił piękne synowskie uczucie
+895;12;0;0;Bezpowrotnie stracił piękne synowskie uczucie i mocno poranił wrażliwą duszę młodego człowieka .
+717;0;0;0;gustu
+717;1;0;0;do gustu
+717;2;0;0;nie
+717;3;0;1;przypaść do gustu
+717;4;0;0;nie każdemu
+717;5;0;0;nie każdemu może przypaść do gustu
+717;6;0;0;,
+717;7;1;1;przepiękny
+717;8;0;0;.
+717;9;0;0;, choć nie każdemu może przypaść do gustu
+717;10;1;1;przepiękny zapach
+717;11;0;0;J'adore
+717;12;0;0;perfumowana
+717;13;0;0;Woda
+717;14;0;0;Woda perfumowana J'adore to przepiękny zapach , choć nie każdemu może przypaść do gustu .
+812;0;0;0;dość
+812;1;0;0;dość sporej
+812;2;0;-1;dość sporej ceny
+812;3;0;0;swojej
+812;4;0;0;.
+812;5;0;1;warty swojej dość sporej ceny
+812;6;0;0;on
+812;7;0;0;Jest on warty swojej dość sporej ceny .
+184;0;0;0;wibrującą
+184;1;-1;1;ostrą
+184;2;0;0;jego
+184;3;0;0;jego ostrą , wibrującą
+184;4;0;1;jego ostrą , wibrującą nutę
+184;5;0;1;na jego ostrą , wibrującą nutę
+184;6;0;1;względu na jego ostrą , wibrującą nutę
+184;7;0;1;ze względu na jego ostrą , wibrującą nutę
+184;8;0;0;ten
+184;9;0;0;.
+184;10;0;1;ten zapach ze względu na jego ostrą , wibrującą nutę
+184;11;0;0;się
+184;12;0;0;mi
+184;13;0;0;Nie
+184;14;0;1;Nie podoba mi się ten zapach ze względu na jego ostrą , wibrującą nutę .
+398;0;0;0;bardzo
+398;1;0;0;bardzo drogiej
+398;2;0;0;bardzo drogiej bielizny
+398;3;0;0;wykonania
+398;4;0;0;tym
+398;5;0;0;od bardzo drogiej bielizny
+398;6;0;0;nie
+398;7;0;1;jakość wykonania
+398;8;0;0;drogi
+398;9;0;0;nie
+398;10;0;0;Poza tym
+398;11;0;0;!
+398;12;1;-1;jakość wykonania nie odbiega od bardzo drogiej bielizny
+398;13;0;0;,
+398;14;0;0;Poza tym nie był drogi
+398;15;0;0;Poza tym nie był drogi , a jakość wykonania nie odbiega od bardzo drogiej bielizny !
+489;0;0;0;bardzo
+489;1;0;0;zapamiętywalny
+489;2;1;1;bardzo ciekawy
+489;3;1;0;bardzo ciekawy , zapamiętywalny
+489;4;0;0;Noir
+489;5;0;0;.
+489;6;1;1;zapach bardzo ciekawy , zapamiętywalny
+489;7;0;0;Crystal Noir
+489;8;0;0;Crystal Noir to zapach bardzo ciekawy , zapamiętywalny .
+951;0;0;0;łagru
+951;1;0;0;lat
+951;2;0;0;dziesięć lat łagru
+951;3;0;0;na dziesięć lat łagru
+951;4;0;0;zamieniony na dziesięć lat łagru
+951;5;0;0;,
+951;6;-1;-1;śmierci
+951;7;0;0;.
+951;8;0;0;wyrok śmierci , zamieniony na dziesięć lat łagru
+951;9;0;0;Otrzymuje wyrok śmierci , zamieniony na dziesięć lat łagru .
+620;0;0;0;inne
+620;1;0;0;słońcem
+620;2;0;0;żadne inne
+620;3;0;0;pod słońcem
+620;4;1;1;najlepsze
+620;5;0;0;mnie
+620;6;0;0;na żadne inne
+620;7;0;0;ich
+620;8;0;0;nie
+620;9;1;0;najlepsze perfumy pod słońcem
+620;10;0;0;to
+620;11;0;0;dla mnie
+620;12;0;0;Jak
+620;13;0;0;.
+620;14;0;0;nie zamienię ich na żadne inne
+620;15;1;1;Jak dla mnie są to najlepsze perfumy pod słońcem
+620;16;0;0;Jak dla mnie są to najlepsze perfumy pod słońcem i nie zamienię ich na żadne inne .
+1059;0;1;1;ciekawy
+1059;1;0;0;.
+1059;2;1;1;ciekawy kształt
+1059;3;0;0;Butelka
+1059;4;0;0;Butelka ma ciekawy kształt .
+460;0;0;1;magiczny
+460;1;0;0;jakiś
+460;2;1;0;jakiś sposób magiczny
+460;3;0;0;by
+460;4;0;0;.
+460;5;1;0;w jakiś sposób magiczny
+460;6;0;0;razem
+460;7;0;1;by uniwersalny
+460;8;0;0;jak
+460;9;1;0;za razem w jakiś sposób magiczny .
+460;10;0;0;Zapach jak by uniwersalny
+460;11;0;1;Zapach jak by uniwersalny a za razem w jakiś sposób magiczny .
+640;0;1;1;niezwykły
+640;1;0;0;.
+640;2;1;1;- niezwykły
+640;3;0;0;Flakon - niezwykły .
+1028;0;0;0;każdej
+1028;1;0;0;każdej pani
+1028;2;0;0;dla każdej pani
+1028;3;0;0;prezent dla każdej pani
+1028;4;0;0;.
+1028;5;0;0;na prezent dla każdej pani
+1028;6;1;0;Polecam na prezent dla każdej pani .
+406;0;1;1;godny
+406;1;0;0;polecenia
+406;2;1;1;godny uwagi
+406;3;0;0;bardzo
+406;4;0;0;ten
+406;5;1;1;godny uwagi i polecenia
+406;6;0;0;jest
+406;7;0;0;się
+406;8;0;0;bardzo skromnie
+406;9;0;0;ten biustonosz
+406;10;0;0;że
+406;11;0;0;,
+406;12;0;0;.
+406;13;1;1;, że ten biustonosz bardzo skromnie się prezentuje jest godny uwagi i polecenia
+406;14;0;0;Pomimo , że ten biustonosz bardzo skromnie się prezentuje jest godny uwagi i polecenia .
+885;0;0;0;każdy
+885;1;0;0;,
+885;2;0;0;słyszenia
+885;3;0;0;, zna każdy
+885;4;0;0;ze słyszenia
+885;5;0;0;,
+885;6;0;0;.
+885;7;0;0;, chociażby ze słyszenia , zna każdy
+885;8;0;0;Ten
+885;9;0;0;Ten zapach , chociażby ze słyszenia , zna każdy .
+204;0;0;0;mocno
+204;1;0;-1;mocno zmienione
+204;2;0;0;Zepter
+204;3;0;0;Hoop
+204;4;0;0;mocno zmienione oblicza
+204;5;0;0;Hoop i Zepter
+204;6;0;0;że
+204;7;0;0;,
+204;8;0;0;, że Hoop i Zepter reprezentują mocno zmienione oblicza
+204;9;0;0;potyczki
+204;10;0;0;Tym
+204;11;0;0;.
+204;12;0;0;fakt , że Hoop i Zepter reprezentują mocno zmienione oblicza
+204;13;0;0;atrakcyjność potyczki
+204;14;0;0;Tym razem
+204;15;0;0;Tym razem atrakcyjność potyczki podniesie fakt , że Hoop i Zepter reprezentują mocno zmienione oblicza .
+1128;0;0;0;!
+1128;1;1;1;super
+1128;2;0;0;biustonosz
+1128;3;0;1;biustonosz jest super !
+967;0;1;1;uroczy
+967;1;0;0;ten
+967;2;0;0;.
+967;3;1;0;ten uroczy biustonosz
+967;4;0;0;Sama
+967;5;0;0;Sama posiadam ten uroczy biustonosz .
+863;0;0;0;bardzo
+863;1;0;1;przesycony
+863;2;0;1;bardzo przenikliwy
+863;3;-1;1;bardzo przenikliwy i przesycony
+863;4;-1;1;za bardzo przenikliwy i przesycony
+863;5;0;0;mnie
+863;6;0;0;.
+863;7;-1;1;zapach za bardzo przenikliwy i przesycony
+863;8;0;0;dla mnie
+863;9;0;0;Jak
+863;10;0;1;Jak dla mnie to zapach za bardzo przenikliwy i przesycony .
+1013;0;0;0;flakonika
+1013;1;0;0;Jedyny
+1013;2;0;0;.
+1013;3;0;0;kształt flakonika
+1013;4;-1;-1;Jedyny minus
+1013;5;0;0;Jedyny minus to kształt flakonika .
+471;0;-1;-1;przykrą
+471;1;0;0;.
+471;2;-1;-1;przykrą woń
+471;3;0;0;Redukuje przykrą woń .
+586;0;0;0;mężczyzn
+586;1;0;0;Bardzo
+586;2;0;0;!
+586;3;0;0;dla mężczyzn
+586;4;1;1;Bardzo świetny
+586;5;0;0;Bardzo świetny perfum dla mężczyzn !
+969;0;0;0;urodziny
+969;1;0;0;na urodziny
+969;2;0;0;prezent na urodziny
+969;3;0;0;choinkę
+969;4;0;0;na prezent na urodziny
+969;5;1;1;świetny
+969;6;0;0;pod choinkę
+969;7;1;1;świetny pomysł na prezent na urodziny
+969;8;0;0;.
+969;9;1;0;świetny pomysł na prezent na urodziny czy pod choinkę
+969;10;0;0;również
+969;11;0;0;Jest
+969;12;0;0;Jest to również świetny pomysł na prezent na urodziny czy pod choinkę .
+9;0;0;0;dość
+9;1;0;0;dość intensywny
+9;2;0;0;.
+9;3;0;0;dość intensywny zapach
+9;4;0;0;Ma dość intensywny zapach .
+255;0;0;0;tym
+255;1;0;0;tym sezonie
+255;2;0;0;w tym sezonie
+255;3;0;0;bardzo
+255;4;0;0;purpurowego
+255;5;0;0;.
+255;6;1;1;bardzo modny w tym sezonie
+255;7;0;0;purpurowego różu
+255;8;0;0;Kolor purpurowego różu bardzo modny w tym sezonie .
+1179;0;0;0;mężczyzny
+1179;1;-1;0;samobójczej
+1179;2;0;-1;samobójczej śmierci mężczyzny
+1179;3;0;0;o samobójczej śmierci mężczyzny
+1179;4;0;0;rodzinę
+1179;5;0;0;.
+1179;6;0;0;powiadomić rodzinę o samobójczej śmierci mężczyzny
+1179;7;0;0;Chcieli powiadomić rodzinę o samobójczej śmierci mężczyzny .
+849;0;0;0;ładnie
+849;1;0;0;)
+849;2;1;1;ładnie pachnę
+849;3;0;0;- )
+849;4;1;1;ze ładnie pachnę
+849;5;0;0;mnie
+849;6;0;0;osób
+849;7;0;0;się
+849;8;0;0;długo
+849;9;1;0;: - )
+849;10;1;1;pochwaliło mnie ze ładnie pachnę
+849;11;0;0;kilka osób
+849;12;0;0;juz
+849;13;0;0;długo się utrzymują
+849;14;0;0;długo się utrzymują i juz kilka osób pochwaliło mnie ze ładnie pachnę : - )
+488;0;0;0;prezent
+488;1;0;0;na prezent
+488;2;1;1;dobry
+488;3;0;0;.
+488;4;1;1;dobry pomysł na prezent
+488;5;0;0;jest
+488;6;0;0;To jest dobry pomysł na prezent .
+651;0;0;0;wieczór
+651;1;0;0;.
+651;2;0;0;na wieczór
+651;3;0;0;go
+651;4;0;0;Zdecydowanie
+651;5;1;1;Zdecydowanie polecam go na wieczór .
+795;0;0;0;zatrzaski
+795;1;0;0;trzy zatrzaski
+795;2;0;0;na trzy zatrzaski
+795;3;1;1;szerokie
+795;4;0;0;zapięcie na trzy zatrzaski
+795;5;0;0;szerokie ramiączka
+795;6;0;0;biustonosz
+795;7;0;0;moje
+795;8;0;0;szerokie ramiączka oraz zapięcie na trzy zatrzaski
+795;9;0;0;moje poprzedniczki biustonosz
+795;10;0;0;moje poprzedniczki biustonosz posiada szerokie ramiączka oraz zapięcie na trzy zatrzaski
+795;11;0;0;już
+795;12;0;0;.
+795;13;0;0;pisały już moje poprzedniczki biustonosz posiada szerokie ramiączka oraz zapięcie na trzy zatrzaski
+795;14;0;0;Tak
+795;15;0;0;Tak jak pisały już moje poprzedniczki biustonosz posiada szerokie ramiączka oraz zapięcie na trzy zatrzaski .
+639;0;0;0;stałego
+639;1;0;0;.
+639;2;0;0;stałego związku
+639;3;0;0;Zawsze
+639;4;0;0;Zawsze chciał stałego związku .
+1036;0;0;0;własną
+1036;1;0;0;wczoraj
+1036;2;0;0;własną rękę
+1036;3;0;0;roku
+1036;4;0;0;Zatrzymani wczoraj
+1036;5;0;0;.
+1036;6;0;0;na własną rękę
+1036;7;0;0;od roku
+1036;8;-1;0;Zatrzymani wczoraj przestępcy
+1036;9;0;0;Zatrzymani wczoraj przestępcy od roku działali na własną rękę .
+549;0;0;0;skromności
+549;1;1;1;uniwersalny
+549;2;0;0;się
+549;3;0;0;elegancko
+549;4;0;0;pomimo skromności
+549;5;0;1;uniwersalny design
+549;6;0;0;Biustonosz
+549;7;0;0;.
+549;8;1;0;pomimo skromności elegancko się prezentuje
+549;9;0;0;Biustonosz ma uniwersalny design
+549;10;0;0;Biustonosz ma uniwersalny design i pomimo skromności elegancko się prezentuje .
+1174;0;0;0;piersiami
+1174;1;0;0;między piersiami
+1174;2;1;1;słodką
+1174;3;0;0;odpinane
+1174;4;1;0;słodką kokardkę między piersiami
+1174;5;0;0;odpinane ramiączka
+1174;6;0;0;.
+1174;7;1;0;odpinane ramiączka i słodką kokardkę między piersiami
+1174;8;0;0;Ma odpinane ramiączka i słodką kokardkę między piersiami .
+404;0;0;0;więcej
+404;1;0;0;sieci
+404;2;0;0;więcej 30ml
+404;3;0;0;bardzo
+404;4;0;0;w sieci
+404;5;0;0;na więcej 30ml
+404;6;0;0;się
+404;7;0;0;pewnie
+404;8;1;1;bardzo przyzwoita
+404;9;0;0;Cena w sieci
+404;10;0;0;pewnie skuszę się na więcej 30ml
+404;11;0;0;,
+404;12;1;0;Cena w sieci jest bardzo przyzwoita
+404;13;0;0;)
+404;14;0;0;;
+404;15;1;0;Cena w sieci jest bardzo przyzwoita , więc pewnie skuszę się na więcej 30ml
+404;16;0;0;Cena w sieci jest bardzo przyzwoita , więc pewnie skuszę się na więcej niż 30ml ; )
+434;0;0;0;gorsetów
+434;1;0;0;do gorsetów
+434;2;0;0;bardzo
+434;3;0;0;odpinane
+434;4;0;0;.
+434;5;1;1;bardzo wygodne do gorsetów
+434;6;0;0;co
+434;7;0;0;odpinane ramiączka
+434;8;0;0;tez
+434;9;0;0;Ma
+434;10;0;0;Ma tez odpinane ramiączka co jest bardzo wygodne do gorsetów .
+700;0;1;1;romantyczny
+700;1;0;0;romantyczny spacer
+700;2;0;0;się
+700;3;0;0;na romantyczny spacer
+700;4;0;0;Potem
+700;5;0;0;.
+700;6;0;0;całowali
+700;7;0;0;przytulali się
+700;8;0;0;,
+700;9;0;0;Potem szli na romantyczny spacer
+700;10;0;0;Potem szli na romantyczny spacer , przytulali się i całowali .
+1143;0;-1;0;duszące
+1143;1;0;0;wręcz
+1143;2;-1;0;perfumy duszące
+1143;3;0;0;są
+1143;4;0;0;Nie
+1143;5;0;0;.
+1143;6;0;0;wręcz przeciwnie
+1143;7;0;0;Nie są to perfumy duszące
+1143;8;0;0;Nie są to perfumy duszące , wręcz przeciwnie .
+157;0;1;1;radosnym
+157;1;0;1;radosnym gwarem
+157;2;0;0;,
+157;3;0;0;.
+157;4;0;1;, zachłystując radosnym gwarem
+157;5;0;0;się
+157;6;0;0;nagle
+157;7;0;0;I
+157;8;0;-1;I nagle zrywa się , zachłystując radosnym gwarem .
+1178;0;0;0;tego
+1178;1;0;0;tego modelu
+1178;2;0;0;z tego modelu
+1178;3;0;0;lato z tego modelu
+1178;4;0;0;dużej
+1178;5;0;0;na lato z tego modelu
+1178;6;1;1;fajne
+1178;7;0;0;jakieś
+1178;8;0;0;dużej miseczce
+1178;9;0;0;no
+1178;10;1;1;jakieś fajne kolorki na lato z tego modelu
+1178;11;0;0;o dużej miseczce
+1178;12;1;1;wypuści jakieś fajne kolorki na lato z tego modelu no
+1178;13;1;1;wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce
+1178;14;0;0;moze
+1178;15;0;0;p
+1178;16;0;0;moze gaia wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce
+1178;17;0;0;moze gaia wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce ; p
+65;0;0;0;szyi
+65;1;0;0;skórę szyi
+65;2;0;0;ciele
+65;3;0;0;na skórę szyi
+65;4;0;0;na ciele
+65;5;0;0;się
+65;6;0;0;długo
+65;7;0;0;nadgarstków
+65;8;0;0;czy
+65;9;0;0;,
+65;10;0;0;naniesieniu na skórę szyi
+65;11;0;0;, czy nadgarstków długo utrzymuje się na ciele
+65;12;0;0;po naniesieniu na skórę szyi
+65;13;0;0;który po naniesieniu na skórę szyi , czy nadgarstków długo utrzymuje się na ciele
+65;14;1;1;urokliwy
+65;15;0;0;wyrazisty
+65;16;0;0;, który po naniesieniu na skórę szyi , czy nadgarstków długo utrzymuje się na ciele
+65;17;1;1;wyrazisty , urokliwy
+65;18;0;0;.
+65;19;1;1;wyrazisty , urokliwy zapach , który po naniesieniu na skórę szyi , czy nadgarstków długo utrzymuje się na ciele
+65;20;0;0;Ma wyrazisty , urokliwy zapach , który po naniesieniu na skórę szyi , czy nadgarstków długo utrzymuje się na ciele .
+815;0;1;1;wspaniałej
+815;1;0;0;przyszłej
+815;2;0;0;mojej
+815;3;0;0;Nikt
+815;4;0;0;mojej przyszłej wspaniałej macochy
+815;5;0;0;Zosi
+815;6;0;0;Pan Nikt
+815;7;0;0;,
+815;8;0;0;Zosi , mojej przyszłej wspaniałej macochy
+815;9;0;0;Żoliborzu
+815;10;0;0;.
+815;11;0;0;, jako Pan Nikt
+815;12;0;0;u Zosi , mojej przyszłej wspaniałej macochy
+815;13;0;0;na Żoliborzu
+815;14;0;0;się
+815;15;0;0;Tata
+815;16;0;0;Tata ukrywał się na Żoliborzu u Zosi , mojej przyszłej wspaniałej macochy , jako Pan Nikt .
+93;0;0;0;znajomymi
+93;1;0;0;ze znajomymi
+93;2;0;0;wieczór ze znajomymi
+93;3;0;0;dyskotekę
+93;4;0;0;,
+93;5;0;0;kina
+93;6;0;0;kina , dyskotekę czy wieczór ze znajomymi
+93;7;0;0;do kina , dyskotekę czy wieczór ze znajomymi
+93;8;0;0;wypad do kina , dyskotekę czy wieczór ze znajomymi
+93;9;0;0;.
+93;10;0;0;na wypad do kina , dyskotekę czy wieczór ze znajomymi
+93;11;0;0;się
+93;12;1;1;Świetnie
+93;13;0;0;Świetnie nadaje się na wypad do kina , dyskotekę czy wieczór ze znajomymi .
+1004;0;0;0;Sylwestra
+1004;1;0;0;codzień
+1004;2;0;0;na Sylwestra
+1004;3;1;1;elegancką
+1004;4;0;0;na codzień
+1004;5;0;0;się
+1004;6;0;0;doskonale
+1004;7;0;0;się
+1004;8;1;0;elegancką bluzkę na Sylwestra
+1004;9;1;1;doskonale się sprawdza na codzień
+1004;10;0;0;,
+1004;11;0;0;okazało się
+1004;12;0;0;pod elegancką bluzkę na Sylwestra
+1004;13;0;0;go
+1004;14;0;0;że
+1004;15;0;0;,
+1004;16;1;0;okazało się , że doskonale się sprawdza na codzień
+1004;17;0;0;,
+1004;18;0;0;, że włożę go pod elegancką bluzkę na Sylwestra
+1004;19;0;0;myślą
+1004;20;0;0;.
+1004;21;1;0;, że włożę go pod elegancką bluzkę na Sylwestra , ale okazało się , że doskonale się sprawdza na codzień
+1004;22;0;0;z myślą
+1004;23;0;0;go
+1004;24;0;0;m
+1004;25;0;0;Kupiła m go z myślą , że włożę go pod elegancką bluzkę na Sylwestra , ale okazało się , że doskonale się sprawdza na codzień .
+721;0;0;0;dość
+721;1;0;-1;dość wysoka
+721;2;-1;-1;dość wysoka cena
+721;3;0;0;Jedynym
+721;4;0;0;.
+721;5;-1;0;być dość wysoka cena
+721;6;-1;-1;Jedynym mankamentem
+721;7;0;0;Jedynym mankamentem może być dość wysoka cena .
+192;0;1;0;najładniejszych
+192;1;1;1;najładniejszych perfum
+192;2;0;0;kiedykolwiek
+192;3;1;1;z najładniejszych perfum
+192;4;0;0;jakie kiedykolwiek
+192;5;1;1;jedne z najładniejszych perfum
+192;6;0;0;.
+192;7;1;1;jedne z najładniejszych perfum jakie kiedykolwiek miałem
+192;8;0;0;to
+192;9;0;0;Są to jedne z najładniejszych perfum jakie kiedykolwiek miałem .
+872;0;0;0;pieprzową
+872;1;1;0;wyraźną
+872;2;0;0;wyraźną pieprzową nutą
+872;3;0;0;bardzo
+872;4;0;0;z wyraźną pieprzową nutą
+872;5;1;1;bardzo świeżo
+872;6;1;0;bardzo świeżo i z wyraźną pieprzową nutą
+872;7;0;0;,
+872;8;0;0;skórze
+872;9;0;0;wyraźnie
+872;10;0;0;inaczej , bardzo świeżo i z wyraźną pieprzową nutą
+872;11;0;0;na skórze
+872;12;0;0;,
+872;13;0;0;wyraźnie cytrusowy
+872;14;0;0;.
+872;15;0;0;zapach wyraźnie cytrusowy , na skórze inaczej , bardzo świeżo i z wyraźną pieprzową nutą
+872;16;0;0;pasku
+872;17;0;0;Na pasku zapach wyraźnie cytrusowy , na skórze inaczej , bardzo świeżo i z wyraźną pieprzową nutą .
+696;0;0;0;produktu
+696;1;0;0;do produktu
+696;2;0;0;adekwatna do produktu
+696;3;0;0;cena
+696;4;0;0;.
+696;5;0;0;cena jest adekwatna do produktu
+696;6;0;0;Uważam
+696;7;0;0;Uważam że cena jest adekwatna do produktu .
+647;0;0;0;dzień
+647;1;0;0;.
+647;2;0;0;bardzo
+647;3;0;0;Na dzień
+647;4;1;1;Na dzień bardzo polecam .
+909;0;0;0;Stoczni
+909;1;0;0;pracowników Stoczni
+909;2;0;0;twórczej
+909;3;0;0;wśród pracowników Stoczni
+909;4;0;0;myśli twórczej
+909;5;0;0;należytemu
+909;6;0;0;samym
+909;7;0;0;należytemu rozwojowi myśli twórczej wśród pracowników Stoczni
+909;8;0;0;państwu
+909;9;-1;-1;straty
+909;10;0;0;tym samym
+909;11;0;0;sprzyjać należytemu rozwojowi myśli twórczej wśród pracowników Stoczni
+909;12;0;0;nie
+909;13;0;0;Taki
+909;14;0;0;.
+909;15;0;-1;tym samym przynosi straty państwu
+909;16;0;0;,
+909;17;0;0;nie może sprzyjać należytemu rozwojowi myśli twórczej wśród pracowników Stoczni
+909;18;0;0;Taki stosunek
+909;19;0;0;Taki stosunek nie może sprzyjać należytemu rozwojowi myśli twórczej wśród pracowników Stoczni , a tym samym przynosi straty państwu .
+610;0;0;0;kobiety
+610;1;0;0;dla kobiety
+610;2;1;1;doskonały
+610;3;0;0;.
+610;4;1;0;doskonały prezent dla kobiety
+610;5;0;0;Jest
+610;6;0;0;Jest to doskonały prezent dla kobiety .
+34;0;0;0;wieczór
+34;1;0;0;codzień
+34;2;0;0;na wieczór
+34;3;0;0;.
+34;4;0;0;na codzień
+34;5;1;1;Odpowiedni na wieczór
+34;6;0;0;Odpowiedni na wieczór i na codzień .
+792;0;0;0;każdym
+792;1;0;0;każdym wieku
+792;2;0;0;.
+792;3;0;0;w każdym wieku
+792;4;1;1;Polecam w każdym wieku .
+393;0;0;0;najbliższy
+393;1;0;0;Lwowskich
+393;2;0;0;najbliższy wtorek
+393;3;0;0;Orląt Lwowskich
+393;4;0;0;w najbliższy wtorek
+393;5;0;0;Cmentarza Orląt Lwowskich
+393;6;1;0;uroczystego
+393;7;0;0;uroczystego otwarcia Cmentarza Orląt Lwowskich w najbliższy wtorek
+393;8;0;0;dla uroczystego otwarcia Cmentarza Orląt Lwowskich w najbliższy wtorek
+393;9;0;0;warunków dla uroczystego otwarcia Cmentarza Orląt Lwowskich w najbliższy wtorek
+393;10;0;0;nie
+393;11;0;0;że
+393;12;0;0;,
+393;13;0;0;.
+393;14;0;0;, że nie ma warunków dla uroczystego otwarcia Cmentarza Orląt Lwowskich w najbliższy wtorek
+393;15;0;0;Oświadczył , że nie ma warunków dla uroczystego otwarcia Cmentarza Orląt Lwowskich w najbliższy wtorek .
+552;0;0;0;każdego
+552;1;0;0;każdego faceta
+552;2;0;0;.
+552;3;0;0;dla każdego faceta
+552;4;1;1;godny
+552;5;0;1;godny polecenia dla każdego faceta .
+911;0;1;1;prześliczny
+911;1;0;0;sobie
+911;2;0;0;niczego
+911;3;1;0;Gabana niczego sobie prześliczny
+911;4;0;0;.
+911;5;1;1;Gabana niczego sobie prześliczny zapach
+911;6;0;0;Dolce& Gabana niczego sobie prześliczny zapach .
+251;0;0;0;wieczorną
+251;1;0;0;dwoje
+251;2;0;0;wieczorną kolację
+251;3;0;0;.
+251;4;0;0;we dwoje
+251;5;0;0;na wieczorną kolację
+251;6;0;0;Perfum
+251;7;1;1;Perfum polecam na wieczorną kolację we dwoje .
+853;0;0;0;zagranicznego
+853;1;0;0;kapitału zagranicznego
+853;2;0;0;udziałem kapitału zagranicznego
+853;3;0;0;ujemny
+853;4;0;0;zerowy
+853;5;0;0;z udziałem kapitału zagranicznego
+853;6;0;0;zerowy albo ujemny
+853;7;0;0;firm z udziałem kapitału zagranicznego
+853;8;1;0;zerowy albo ujemny zysk
+853;9;0;0;większość firm z udziałem kapitału zagranicznego
+853;10;0;0;poważna
+853;11;0;0;sprawa
+853;12;0;0;.
+853;13;0;0;większość firm z udziałem kapitału zagranicznego wykazuje zerowy albo ujemny zysk
+853;14;0;0;sprawa jest poważna
+853;15;0;0;A
+853;16;0;0;A sprawa jest poważna , większość firm z udziałem kapitału zagranicznego wykazuje zerowy albo ujemny zysk .
+524;0;0;0;socjalistycznych
+524;1;0;0;krajów socjalistycznych
+524;2;0;0;robotniczych
+524;3;0;0;komunistycznych
+524;4;0;0;z krajów socjalistycznych
+524;5;0;0;komunistycznych i robotniczych
+524;6;0;0;partii komunistycznych i robotniczych z krajów socjalistycznych
+524;7;1;1;owocnych
+524;8;0;0;tym
+524;9;0;0;delegacji partii komunistycznych i robotniczych z krajów socjalistycznych
+524;10;0;0;owocnych obrad
+524;11;0;0;tym dniu
+524;12;0;0;.
+524;13;0;0;przewodniczący delegacji partii komunistycznych i robotniczych z krajów socjalistycznych
+524;14;0;0;zjazdowi
+524;15;0;0;życzenia owocnych obrad
+524;16;0;0;W tym dniu
+524;17;0;0;W tym dniu życzenia owocnych obrad przekazali zjazdowi przewodniczący delegacji partii komunistycznych i robotniczych z krajów socjalistycznych .
+253;0;0;0;bardzo
+253;1;0;0;seksowny
+253;2;0;0;też
+253;3;0;1;bardzo skromny
+253;4;0;0;.
+253;5;1;1;też i seksowny
+253;6;0;0;,
+253;7;0;0;Stanik bardzo skromny
+253;8;0;0;Stanik bardzo skromny , ale też i seksowny .
+881;0;1;1;niespotykanym
+881;1;0;0;bardzo
+881;2;1;0;niespotykanym zapachem
+881;3;1;1;bardzo intrygującym
+881;4;0;0;która
+881;5;0;0;toaletowa
+881;6;0;0;Kolejna
+881;7;0;0;.
+881;8;1;0;bardzo intrygującym i niespotykanym zapachem
+881;9;0;0;Kolejna woda toaletowa która
+881;10;0;1;Kolejna woda toaletowa która urzeka bardzo intrygującym i niespotykanym zapachem .
+1133;0;1;1;godny
+1133;1;0;0;.
+1133;2;1;1;godny polecenia
+1133;3;0;0;Stanik
+1133;4;0;0;Stanik jest godny polecenia .
+1038;0;0;0;latem
+1038;1;0;0;każdej
+1038;2;0;0;szczególnosci latem
+1038;3;0;0;)
+1038;4;0;0;każdej brunetce
+1038;5;0;0;się
+1038;6;0;0;napewno
+1038;7;0;0;)
+1038;8;0;0;-
+1038;9;0;0;w szczególnosci latem
+1038;10;0;0;- )
+1038;11;1;0;- ) napewno spodoba się każdej brunetce
+1038;12;0;0;;
+1038;13;1;1;Polecam w szczególnosci latem
+1038;14;0;0;Polecam w szczególnosci latem ; - ) napewno spodoba się każdej brunetce ; - )
+1144;0;1;1;lepszej
+1144;1;0;0;ta
+1144;2;1;1;lepszej wody
+1144;3;0;0;lepszej wody niż ta
+1144;4;0;1;świecie lepszej wody niż ta
+1144;5;0;0;mnie
+1144;6;0;0;na świecie lepszej wody niż ta
+1144;7;0;0;dla mnie
+1144;8;0;0;!
+1144;9;1;0;juz dla mnie na świecie lepszej wody niż ta
+1144;10;0;0;nie
+1144;11;0;0;chyba
+1144;12;0;0;i
+1144;13;0;0;i chyba nie ma juz dla mnie na świecie lepszej wody niż ta !
+613;0;0;0;rynku
+613;1;0;0;tego
+613;2;0;0;Klein
+613;3;0;0;na rynku
+613;4;0;0;tego typu
+613;5;1;1;najlepszych
+613;6;0;0;Calvin Klein
+613;7;1;1;najlepszych produktów tego typu na rynku
+613;8;0;0;marki Calvin Klein
+613;9;0;0;perfumowana
+613;10;1;1;z najlepszych produktów tego typu na rynku
+613;11;0;0;perfumowana Euphoria marki Calvin Klein
+613;12;0;0;.
+613;13;1;0;jednym z najlepszych produktów tego typu na rynku
+613;14;0;0;Woda perfumowana Euphoria marki Calvin Klein
+613;15;0;0;Woda perfumowana Euphoria marki Calvin Klein jest jednym z najlepszych produktów tego typu na rynku .
+58;0;0;0;tych
+58;1;0;0;tych perfum
+58;2;0;0;kupna tych perfum
+58;3;0;0;od kupna tych perfum
+58;4;0;0;który
+58;5;0;0;,
+58;6;-1;-1;, który odrzuca od kupna tych perfum
+58;7;0;0;.
+58;8;-1;-1;mankament , który odrzuca od kupna tych perfum
+58;9;0;0;Cena-to
+58;10;0;0;Cena-to jest mankament , który odrzuca od kupna tych perfum .
+578;0;0;0;tej
+578;1;0;-1;cenę
+578;2;0;0;tej jakości
+578;3;0;0;ona
+578;4;0;0;to
+578;5;0;-1;o cenę
+578;6;0;0;Jeśli
+578;7;0;0;.
+578;8;1;1;ona warta tej jakości
+578;9;0;0;Jeśli chodzi o cenę to
+578;10;0;0;Jeśli chodzi o cenę to jest ona warta tej jakości .
+904;0;0;0;pierwszym
+904;1;0;0;pierwszym ubraniu
+904;2;0;0;druty
+904;3;0;0;nie
+904;4;0;0;po pierwszym ubraniu
+904;5;0;0;się
+904;6;0;0;nie
+904;7;1;0;nie wychodzą druty
+904;8;0;1;trwały
+904;9;0;0;biustonosz
+904;10;1;0;nie pruje się po pierwszym ubraniu
+904;11;1;0;biustonosz jest trwały nie wychodzą druty
+904;12;1;1;wysoka
+904;13;0;0;nie
+904;14;0;0;Cena
+904;15;0;0;.
+904;16;1;-1;biustonosz jest trwały nie wychodzą druty i nie pruje się po pierwszym ubraniu
+904;17;1;0;Cena nie jest wysoka
+904;18;0;0;Cena nie jest wysoka , biustonosz jest trwały nie wychodzą druty i nie pruje się po pierwszym ubraniu .
+415;0;0;0;nazizmu
+415;1;0;0;faszyzmu
+415;2;0;0;faszyzmu czy nazizmu
+415;3;0;0;młodego
+415;4;0;0;do faszyzmu czy nazizmu
+415;5;0;0;tak
+415;6;0;0;młodego Johnsona
+415;7;0;0;co
+415;8;0;0;,
+415;9;0;0;, co młodego Johnsona tak pchało do faszyzmu czy nazizmu
+415;10;0;0;oczywiście
+415;11;0;0;się
+415;12;0;0;.
+415;13;0;0;się oczywiście zastanawiać , co młodego Johnsona tak pchało do faszyzmu czy nazizmu
+415;14;0;0;Można się oczywiście zastanawiać , co młodego Johnsona tak pchało do faszyzmu czy nazizmu .
+112;0;1;1;godny
+112;1;0;0;polecenia
+112;2;1;1;godny uwagi
+112;3;0;0;bardzo
+112;4;0;0;ten
+112;5;1;1;godny uwagi i polecenia
+112;6;0;0;jest
+112;7;0;0;się
+112;8;0;0;bardzo skromnie
+112;9;0;0;ten biustonosz
+112;10;0;0;że
+112;11;0;0;,
+112;12;0;0;.
+112;13;1;1;, że ten biustonosz bardzo skromnie się prezentuje jest godny uwagi i polecenia
+112;14;0;0;Pomimo , że ten biustonosz bardzo skromnie się prezentuje jest godny uwagi i polecenia .
+416;0;1;1;Świetnie
+416;1;0;0;.
+416;2;1;1;Świetnie wykonany
+416;3;0;0;Świetnie wykonany biustonosz .
+241;0;0;0;push
+241;1;0;0;typu push
+241;2;0;0;.
+241;3;0;0;biust
+241;4;1;1;świetnie
+241;5;0;0;up
+241;6;0;0;Miseczki typu push
+241;7;0;1;Miseczki typu push up świetnie podtrzymują biust .
+153;0;-1;0;chłodne
+153;1;0;0;raczej
+153;2;0;0;chłodne wieczory
+153;3;0;0;raczej okazjonalnie
+153;4;0;0;.
+153;5;0;0;raczej okazjonalnie na chłodne wieczory
+153;6;0;0;Używany raczej okazjonalnie na chłodne wieczory .
+1181;0;0;0;tę
+1181;1;1;0;entuzjazmem
+1181;2;0;0;.
+1181;3;0;0;tę propozycję
+1181;4;0;0;z entuzjazmem
+1181;5;0;0;Raue
+1181;6;0;-1;Raue z entuzjazmem przyjął tę propozycję .
+877;0;1;1;doskonałości
+877;1;0;0;ta
+877;2;0;0;.
+877;3;1;0;przeobrażeniem doskonałości
+877;4;0;0;Woda ta
+877;5;0;0;Woda ta jest przeobrażeniem doskonałości .
+3;0;0;0;uwodzicielski
+3;1;0;0;Bardzo
+3;2;0;0;.
+3;3;0;1;uwodzicielski zapach
+3;4;1;1;Bardzo ładny
+3;5;0;1;Bardzo ładny , uwodzicielski zapach .
+789;0;0;0;obfitym
+789;1;0;0;obfitym biuście
+789;2;0;0;o obfitym biuście
+789;3;0;0;kobiet o obfitym biuście
+789;4;0;0;bardzo
+789;5;0;0;dla kobiet o obfitym biuście
+789;6;1;1;bardzo dobry
+789;7;0;0;.
+789;8;-1;0;nie dla kobiet o obfitym biuście
+789;9;0;0;,
+789;10;1;1;Pomysł bardzo dobry
+789;11;0;0;Pomysł bardzo dobry , ale nie dla kobiet o obfitym biuście .
+199;0;0;0;bluzeczką
+199;1;0;0;tylko
+199;2;0;0;nie
+199;3;0;0;pod bluzeczką
+199;4;0;0;się
+199;5;1;0;nie tylko ładnie
+199;6;0;0;niej
+199;7;1;1;nie tylko ładnie się prezentuje pod bluzeczką
+199;8;0;0;,
+199;9;0;0;produkt
+199;10;0;0;bez niej
+199;11;1;0;produkt , gdyż nie tylko ładnie się prezentuje pod bluzeczką
+199;12;0;0;także bez niej
+199;13;0;0;,
+199;14;1;1;Polecam produkt , gdyż nie tylko ładnie się prezentuje pod bluzeczką
+199;15;0;0;)
+199;16;1;0;Polecam produkt , gdyż nie tylko ładnie się prezentuje pod bluzeczką , ale także bez niej
+199;17;0;1;Polecam produkt , gdyż nie tylko ładnie się prezentuje pod bluzeczką , ale także bez niej ; )
+239;0;0;0;bardzo
+239;1;0;0;.
+239;2;1;1;bardzo wygodny
+239;3;0;0;Stanik
+239;4;0;0;Stanik jest bardzo wygodny .
+709;0;0;0;randki
+709;1;0;0;.
+709;2;0;0;na randki
+709;3;1;1;Polecam na randki .
+328;0;0;0;swoją
+328;1;1;1;swoją oryginalnością
+328;2;0;0;się
+328;3;0;0;ten
+328;4;0;0;"
+328;5;1;0;" ten wyróżnia się swoją oryginalnością
+328;6;1;0;adidas " ten wyróżnia się swoją oryginalnością
+328;7;1;0;" adidas " ten wyróżnia się swoją oryginalnością
+328;8;1;0;typu " adidas " ten wyróżnia się swoją oryginalnością
+328;9;1;0;zapachów typu " adidas " ten wyróżnia się swoją oryginalnością
+328;10;0;0;.
+328;11;1;0;natłoku zapachów typu " adidas " ten wyróżnia się swoją oryginalnością
+328;12;0;0;W natłoku zapachów typu " adidas " ten wyróżnia się swoją oryginalnością .
+372;0;1;0;piękniejszej
+372;1;0;0;.
+372;2;0;-1;piękniejszej śmierci
+372;3;0;0;sobie
+372;4;0;0;Nie
+372;5;0;0;-
+372;6;0;0;- Nie wyobrażam sobie piękniejszej śmierci .
+944;0;0;0;bezpośrednich
+944;1;-1;0;bezpośrednich sprawców
+944;2;0;0;ukaranie bezpośrednich sprawców
+944;3;0;0;na ukaranie bezpośrednich sprawców
+944;4;0;0;.
+944;5;0;0;szansę na ukaranie bezpośrednich sprawców
+944;6;0;0;by
+944;7;0;0;To
+944;8;0;0;To stworzyło by szansę na ukaranie bezpośrednich sprawców .
+676;0;0;0;pogotowia
+676;1;0;0;lekarzy pogotowia
+676;2;0;0;przez lekarzy pogotowia
+676;3;0;0;przestępstwa
+676;4;-1;-1;śmierci
+676;5;0;0;popełnieniu przestępstwa przez lekarzy pogotowia
+676;6;0;0;po śmierci
+676;7;0;0;.
+676;8;0;0;o popełnieniu przestępstwa przez lekarzy pogotowia
+676;9;0;0;prokuraturę
+676;10;0;0;matka
+676;11;0;0;Dzień po śmierci
+676;12;0;0;Dzień po śmierci matka powiadomiła prokuraturę o popełnieniu przestępstwa przez lekarzy pogotowia .
+166;0;0;0;zszyty
+166;1;-1;0;żle zszyty
+166;2;0;0;,
+166;3;1;1;ładny
+166;4;0;0;NAOMI
+166;5;0;1;ładny , ale żle zszyty
+166;6;0;0;Konrad NAOMI
+166;7;0;0;.
+166;8;-1;1;niby ładny , ale żle zszyty
+166;9;0;0;Biustonosz Konrad NAOMI
+166;10;0;0;Biustonosz Konrad NAOMI jest niby ładny , ale żle zszyty .
+261;0;0;0;każdego
+261;1;0;0;każdego mężczyzny
+261;2;0;0;dla każdego mężczyzny
+261;3;0;0;.
+261;4;1;0;polecenia dla każdego mężczyzny
+261;5;1;1;godny
+261;6;0;0;produkt godny polecenia dla każdego mężczyzny .
+227;0;0;0;zmysłowej
+227;1;0;1;kobiety zmysłowej
+227;2;0;1;dla kobiety zmysłowej
+227;3;1;1;idealne dla kobiety zmysłowej
+227;4;0;0;.
+227;5;1;1;wprost idealne dla kobiety zmysłowej
+227;6;0;0;Perfumy wprost idealne dla kobiety zmysłowej .
+995;0;0;0;mordercę
+995;1;0;0;ująć mordercę
+995;2;0;0;Mühlhausowi
+995;3;0;0;która
+995;4;0;0;,
+995;5;0;1;, która pomoże Mühlhausowi ująć mordercę
+995;6;0;0;pana
+995;7;0;0;.
+995;8;0;0;informację , która pomoże Mühlhausowi ująć mordercę
+995;9;0;0;od pana
+995;10;0;0;On
+995;11;0;0;On wydobędzie od pana informację , która pomoże Mühlhausowi ująć mordercę .
+237;0;0;0;bardzo
+237;1;0;0;bardzo kobiecy
+237;2;0;0;bardzo
+237;3;0;1;bardzo kobiecy zapach
+237;4;0;0;lekki
+237;5;0;0;,
+237;6;1;1;bardzo przyjemny
+237;7;0;0;ona
+237;8;0;0;.
+237;9;1;1;ona bardzo przyjemny , lekki i bardzo kobiecy zapach
+237;10;0;0;Ma ona bardzo przyjemny , lekki i bardzo kobiecy zapach .
+425;0;0;0;dziewczęcy
+425;1;1;1;uroczy
+425;2;1;1;uroczy , dziewczęcy
+425;3;0;0;tego
+425;4;0;0;.
+425;5;1;1;uroczy , dziewczęcy design
+425;6;0;0;biustonosz
+425;7;0;0;Do tego
+425;8;0;0;Do tego biustonosz ma uroczy , dziewczęcy design .
+32;0;0;0;pracy
+32;1;0;0;szkoły
+32;2;0;0;szkoły czy pracy
+32;3;0;0;,
+32;4;0;0;codzien
+32;5;0;0;.
+32;6;0;0;, do szkoły czy pracy
+32;7;0;0;na codzien
+32;8;0;0;Bardzo
+32;9;1;1;Bardzo dobry na codzien , do szkoły czy pracy .
+564;0;0;0;,
+564;1;0;0;toaletowa
+564;2;1;1;Świetna
+564;3;0;0;.
+564;4;0;0;się
+564;5;0;0;długo
+564;6;0;0;zapach
+564;7;1;0;Świetna woda toaletowa ,
+564;8;1;0;Świetna woda toaletowa , zapach długo się utrzymuje .
+169;0;1;0;ognistym
+169;1;0;0;ognistym kolorze
+169;2;0;0;.
+169;3;0;0;w ognistym kolorze
+169;4;0;0;Buteleczka w ognistym kolorze .
+1100;0;0;0;Fahrenhaita
+1100;1;0;0;tymi
+1100;2;-1;0;podróbki Fahrenhaita
+1100;3;0;0;prysznic
+1100;4;0;0;zamiast
+1100;5;0;0;ćwiczeniach
+1100;6;0;0;tymi osiłkami
+1100;7;0;0;wszystkim
+1100;8;-1;1;taniej podróbki Fahrenhaita
+1100;9;0;0;butelki
+1100;10;0;0;siebie
+1100;11;0;0;,
+1100;12;0;0;zamiast wziąć prysznic
+1100;13;0;0;po ćwiczeniach
+1100;14;0;0;co
+1100;15;0;0;,
+1100;16;0;0;z tymi osiłkami
+1100;17;0;0;przede wszystkim
+1100;18;0;0;.
+1100;19;-1;0;pół butelki taniej podróbki Fahrenhaita
+1100;20;0;0;na siebie
+1100;21;0;0;to
+1100;22;0;0;, co to po ćwiczeniach zamiast wziąć prysznic ,
+1100;23;0;0;się z tymi osiłkami
+1100;24;0;0;mi
+1100;25;0;0;przede wszystkim kojaży
+1100;26;0;0;I
+1100;27;0;0;I przede wszystkim kojaży mi się z tymi osiłkami , co to po ćwiczeniach zamiast wziąć prysznic , to wylewają na siebie pół butelki taniej podróbki Fahrenhaita .
+1043;0;1;0;niesamowite
+1043;1;0;0;.
+1043;2;1;0;niesamowite wrażenie
+1043;3;0;0;Flakon
+1043;4;0;0;Flakon robi niesamowite wrażenie .
+784;0;1;1;silną
+784;1;0;0;ją
+784;2;0;0;uczynić ją silną
+784;3;0;0;,
+784;4;0;0;Zachodu
+784;5;0;0;, by uczynić ją silną
+784;6;0;0;do Zachodu
+784;7;0;0;Rosję
+784;8;0;0;przywiązać Rosję do Zachodu , by uczynić ją silną
+784;9;0;0;by
+784;10;0;0;który
+784;11;0;0;,
+784;12;0;0;, który chciał by przywiązać Rosję do Zachodu , by uczynić ją silną
+784;13;0;0;II
+784;14;0;0;Piotr II , który chciał by przywiązać Rosję do Zachodu , by uczynić ją silną
+784;15;0;0;Putin
+784;16;0;0;czy
+784;17;0;0;,
+784;18;0;0;.
+784;19;0;0;, czy Putin to Piotr II , który chciał by przywiązać Rosję do Zachodu , by uczynić ją silną
+784;20;0;0;Nie
+784;21;0;0;Nie wiem , czy Putin to Piotr II , który chciał by przywiązać Rosję do Zachodu , by uczynić ją silną .
+39;0;0;0;jej
+39;1;0;0;ta
+39;2;1;0;jej warta
+39;3;0;0;woda ta
+39;4;0;0;że
+39;5;0;0;,
+39;6;1;1;wysoka
+39;7;1;0;, że woda ta jest jej warta
+39;8;0;-1;i wysoka
+39;9;0;0;Cena
+39;10;0;0;.
+39;11;1;0;myślę , że woda ta jest jej warta
+39;12;0;0;,
+39;13;0;0;Cena może i wysoka
+39;14;0;0;Cena może i wysoka , ale myślę , że woda ta jest jej warta .
+652;0;0;0;każdej
+652;1;0;0;nawet
+652;2;0;0;dla każdej
+652;3;0;0;nawet najbardziej
+652;4;0;0;prezent dla każdej
+652;5;0;1;nawet najbardziej wymagającej
+652;6;0;0;na prezent dla każdej
+652;7;0;0;się
+652;8;0;0;Idealnie
+652;9;0;0;.
+652;10;0;1;nawet najbardziej wymagającej kobiety
+652;11;1;0;Idealnie nadają się na prezent dla każdej
+652;12;0;0;Idealnie nadają się na prezent dla każdej , nawet najbardziej wymagającej kobiety .
+522;0;1;1;pełną
+522;1;1;1;pełną aprobatą
+522;2;0;0;jego
+522;3;0;0;Młodych
+522;4;0;0;z pełną aprobatą
+522;5;0;0;jego patronat
+522;6;0;0;młodzież
+522;7;0;1;Kołem Młodych
+522;8;0;0;się
+522;9;0;0;Dlatego
+522;10;0;0;.
+522;11;0;0;młodzież przyjęła jego patronat z pełną aprobatą
+522;12;0;0;Dlatego zajął się Kołem Młodych
+522;13;0;0;Dlatego zajął się Kołem Młodych i młodzież przyjęła jego patronat z pełną aprobatą .
+1010;0;0;0;świecie
+1010;1;0;0;.
+1010;2;0;0;na świecie
+1010;3;1;1;najlepsze
+1010;4;0;0;najlepsze perfumy na świecie .
+588;0;0;1;pewniej
+588;1;0;0;się
+588;2;0;0;kobieta
+588;3;0;0;że
+588;4;0;0;,
+588;5;1;0;Ładniejszy
+588;6;0;0;.
+588;7;1;0;, że kobieta czuje się pewniej
+588;8;1;0;Ładniejszy biust
+588;9;0;0;Ładniejszy biust sprawia , że kobieta czuje się pewniej .
+809;0;0;0;lato
+809;1;0;0;.
+809;2;0;0;na lato
+809;3;1;1;Idealny na lato .
+250;0;0;0;pań
+250;1;0;0;pewnych
+250;2;1;1;pewnych siebie pań
+250;3;1;1;przebojowych
+250;4;1;1;przebojowych i pewnych siebie pań
+250;5;1;1;dla przebojowych i pewnych siebie pań
+250;6;0;0;sam
+250;7;0;0;.
+250;8;1;0;sam raz dla przebojowych i pewnych siebie pań
+250;9;0;0;W sam raz dla przebojowych i pewnych siebie pań .
+662;0;1;0;klasycznego
+662;1;0;0;wielkiego
+662;2;0;0;swojego
+662;3;0;0;swojego wielkiego poprzednika klasycznego
+662;4;0;0;nijak
+662;5;0;0;.
+662;6;0;0;Eternity
+662;7;-1;0;nijak do swojego wielkiego poprzednika klasycznego
+662;8;0;0;się
+662;9;0;0;Ma się nijak do swojego wielkiego poprzednika klasycznego Eternity .
+577;0;0;0;mężczyzn
+577;1;0;0;dla mężczyzn
+577;2;0;0;goleniu dla mężczyzn
+577;3;0;0;Bardzo
+577;4;0;0;.
+577;5;0;0;po goleniu dla mężczyzn
+577;6;1;1;Bardzo oryginalna
+577;7;0;0;Bardzo oryginalna woda po goleniu dla mężczyzn .
+756;0;0;0;bardzo
+756;1;0;0;bardzo prostą
+756;2;1;0;oryginalną
+756;3;0;0;.
+756;4;0;0;bardzo prostą butelkę
+756;5;0;0;Mają oryginalną
+756;6;0;0;Mają oryginalną , bardzo prostą butelkę .
+942;0;0;0;esencjonalny
+942;1;1;1;słodki
+942;2;0;0;słodki i esencjonalny
+942;3;0;0;.
+942;4;0;1;zapach słodki i esencjonalny
+942;5;0;0;Euphoria
+942;6;0;0;Euphoria to zapach słodki i esencjonalny .
+537;0;0;0;żadną
+537;1;0;0;samonośny
+537;2;0;0;Ten
+537;3;0;0;spodziewać
+537;4;0;0;było
+537;5;0;0;się
+537;6;0;0;by
+537;7;-1;-1;żadną rewelacją
+537;8;0;0;nie
+537;9;0;0;Ten samonośny biustonosz
+537;10;0;0;.
+537;11;0;0;by się można było spodziewać
+537;12;-1;0;Ten samonośny biustonosz nie jest żadną rewelacją
+537;13;0;0;Ten samonośny biustonosz nie jest żadną rewelacją jak by się można było spodziewać .
+847;0;0;0;figury
+847;1;0;0;Bardzo
+847;2;0;0;biust
+847;3;0;0;idealnie
+847;4;0;0;miseczki
+847;5;0;0;do figury
+847;6;1;1;Bardzo dobrze
+847;7;0;0;.
+847;8;1;0;miseczki idealnie modelują biust
+847;9;0;0;,
+847;10;1;1;Bardzo dobrze dolega do figury
+847;11;0;0;Bardzo dobrze dolega do figury , a miseczki idealnie modelują biust .
+1127;0;-1;0;cienką
+1127;1;0;0;cienką bluzkę
+1127;2;0;0;pod cienką bluzkę
+1127;3;0;0;go
+1127;4;0;0;.
+1127;5;0;0;go ubrać pod cienką bluzkę
+1127;6;0;0;Można go ubrać pod cienką bluzkę .
+333;0;1;0;markowe
+333;1;0;0;bardzo
+333;2;0;1;markowe perfumy
+333;3;0;0;to
+333;4;0;0;bardzo duża
+333;5;0;0;.
+333;6;0;1;są to markowe perfumy
+333;7;0;0;jednak
+333;8;0;0;,
+333;9;-1;-1;Cena bardzo duża
+333;10;0;0;Cena bardzo duża , ale jednak są to markowe perfumy .
+409;0;0;0;wszystkim
+409;1;0;0;przede wszystkim
+409;2;1;1;wydajny
+409;3;0;0;Zapach przede wszystkim
+409;4;0;0;.
+409;5;1;1;perfum wydajny
+409;6;1;1;Zapach przede wszystkim trwały
+409;7;0;1;Zapach przede wszystkim trwały a perfum wydajny .
+530;0;0;0;gotówki
+530;1;0;0;zanadrzu gotówki
+530;2;0;0;prezent
+530;3;0;0;w zanadrzu gotówki
+530;4;0;0;ktoś
+530;5;0;0;Jeśli
+530;6;0;0;na prezent
+530;7;0;0;Jeśli ktoś ma w zanadrzu gotówki
+530;8;1;0;Jeśli ktoś ma w zanadrzu gotówki polecam na prezent
+516;0;0;0;piersi
+516;1;0;0;je
+516;2;0;0;do piersi
+516;3;0;0;się
+516;4;0;0;Idealnie
+516;5;0;0;.
+516;6;0;0;uwydatnia je
+516;7;1;0;podnosi
+516;8;0;0;,
+516;9;1;0;Idealnie dopasowuję się do piersi
+516;10;1;0;Idealnie dopasowuję się do piersi , podnosi i uwydatnia je .
+75;0;1;1;rewelacji
+75;1;0;0;.
+75;2;-1;-1;bez rewelacji
+75;3;0;1;Flakonik bez rewelacji .
+731;0;0;0;codziennego
+731;1;0;0;codziennego użytku
+731;2;0;0;wieczorną
+731;3;0;0;do codziennego użytku
+731;4;0;0;zarówno
+731;5;1;1;dobre
+731;6;0;0;wieczorną randkę
+731;7;0;0;,
+731;8;1;1;Perfumy dobre zarówno do codziennego użytku
+731;9;0;0;.
+731;10;0;0;na wieczorną randkę
+731;11;1;0;Perfumy dobre zarówno do codziennego użytku , jak
+731;12;0;0;Perfumy dobre zarówno do codziennego użytku , jak i na wieczorną randkę .
+634;0;0;0;.
+634;1;0;0;KARZEDEGO
+634;2;0;0;. .
+634;3;0;0;KARZEDEGO FACETA
+634;4;0;0;. . .
+634;5;0;1;NA KARZEDEGO FACETA
+634;6;0;0;REWELACYJNIE
+634;7;0;0;) . . .
+634;8;0;1;DZIAŁA NA KARZEDEGO FACETA
+634;9;1;0;PODNIECA REWELACYJNIE
+634;10;0;0;- ) . . .
+634;11;1;1;PODNIECA REWELACYJNIE I DZIAŁA NA KARZEDEGO FACETA
+634;12;0;0;PODNIECA REWELACYJNIE I DZIAŁA NA KARZEDEGO FACETA ; - ) . . .
+1111;0;0;0;bardzo
+1111;1;0;0;zapach
+1111;2;1;1;bardzo przyjemny
+1111;3;0;0;Perfumy
+1111;4;0;0;.
+1111;5;1;0;świerzy zapach
+1111;6;1;1;Perfumy mają bardzo przyjemny
+1111;7;0;0;Perfumy mają bardzo przyjemny i świerzy zapach .
+35;0;0;0;noszeniu
+35;1;0;0;figury
+35;2;0;0;w noszeniu
+35;3;0;0;bardzo
+35;4;0;0;do figury
+35;5;0;0;się
+35;6;1;1;bardzo wygodny w noszeniu
+35;7;0;0;.
+35;8;0;0;dopasowuje się do figury
+35;9;1;1;Jest bardzo wygodny w noszeniu
+35;10;0;0;Jest bardzo wygodny w noszeniu i dopasowuje się do figury .
+399;0;0;0;Armaniego
+399;1;0;0;rozpoznawalnych
+399;2;0;0;rozpoznawalnych zapachów Armaniego
+399;3;1;0;kultowych
+399;4;0;0;najbardziej
+399;5;1;0;najbardziej kultowych i rozpoznawalnych zapachów Armaniego
+399;6;0;0;.
+399;7;1;1;z najbardziej kultowych i rozpoznawalnych zapachów Armaniego
+399;8;0;0;Chyba
+399;9;0;0;Chyba jeden z najbardziej kultowych i rozpoznawalnych zapachów Armaniego .
+999;0;0;0;push
+999;1;0;0;typu push
+999;2;0;0;.
+999;3;0;0;biust
+999;4;1;1;świetnie
+999;5;0;0;up
+999;6;0;0;Miseczki typu push
+999;7;0;1;Miseczki typu push up świetnie podtrzymują biust .
+871;0;0;0;poranku
+871;1;0;0;skórze
+871;2;0;0;bardzo
+871;3;0;0;o poranku
+871;4;0;0;rosy
+871;5;0;0;na skórze
+871;6;1;1;bardzo przyjemny
+871;7;0;0;kropla rosy o poranku
+871;8;0;0;,
+871;9;1;1;bardzo przyjemny dotyk na skórze
+871;10;0;0;orzeżwiający
+871;11;0;0;.
+871;12;0;0;, niczym kropla rosy o poranku
+871;13;1;1;orzeżwiający i bardzo przyjemny dotyk na skórze
+871;14;0;0;Pozostawia orzeżwiający i bardzo przyjemny dotyk na skórze , niczym kropla rosy o poranku .
+134;0;0;0;też
+134;1;1;1;też świetnym
+134;2;1;1;też świetnym prezentem
+134;3;0;0;toaletowa
+134;4;0;0;.
+134;5;1;1;być też świetnym prezentem
+134;6;0;0;Woda toaletowa
+134;7;0;0;Woda toaletowa może być też świetnym prezentem .
+267;0;0;0;zmysłowa
+267;1;0;0;.
+267;2;1;1;zmysłowa bielizna
+267;3;0;0;sexowna
+267;4;1;1;Śliczna
+267;5;0;0;Śliczna sexowna i zmysłowa bielizna .
+974;0;0;0;dotyku
+974;1;1;1;przyjemny
+974;2;0;0;miękki
+974;3;0;0;.
+974;4;0;0;w dotyku
+974;5;1;1;miękki i przyjemny
+974;6;0;0;Materiał miękki i przyjemny w dotyku .
+723;0;0;0;cuchnącym
+723;1;0;0;najpodlejszym
+723;2;0;0;najpodlejszym , cuchnącym
+723;3;0;0;najpodlejszym , cuchnącym bagnie
+723;4;0;0;Upragnioną
+723;5;0;0;.
+723;6;0;-1;w najpodlejszym , cuchnącym bagnie
+723;7;0;0;eś
+723;8;0;1;Upragnioną miłość
+723;9;0;0;Upragnioną miłość zanurzył eś w najpodlejszym , cuchnącym bagnie .
+1025;0;1;1;młodych
+1025;1;0;0;.
+1025;2;0;0;młodych facetów
+1025;3;0;0;Raczej
+1025;4;0;0;Raczej dla młodych facetów .
+690;0;0;0;flakonika
+690;1;0;0;Jedyny
+690;2;0;0;.
+690;3;0;0;kształt flakonika
+690;4;-1;-1;Jedyny minus
+690;5;0;0;Jedyny minus to kształt flakonika .
+571;0;0;0;berecie
+571;1;0;0;która
+571;2;0;0;w berecie
+571;3;0;0;jakiejś
+571;4;0;0;jakiejś babci w berecie która
+571;5;0;0;kościoła
+571;6;0;0;właśnie
+571;7;0;0;do jakiejś babci w berecie która
+571;8;0;0;.
+571;9;0;0;do kościoła
+571;10;0;0;Pasuje do jakiejś babci w berecie która właśnie
+571;11;0;0;Pasuje do jakiejś babci w berecie która właśnie idzie do kościoła .
+850;0;0;0;dość
+850;1;0;0;wytrzymały
+850;2;1;1;trwały
+850;3;1;0;dość solidnie
+850;4;0;0;ten
+850;5;1;1;trwały i wytrzymały
+850;6;1;0;dość solidnie wykonany
+850;7;0;0;Stanik ten
+850;8;0;0;.
+850;9;1;1;jest trwały i wytrzymały
+850;10;1;0;Stanik ten jest dość solidnie wykonany
+850;11;0;0;Stanik ten jest dość solidnie wykonany , jest trwały i wytrzymały .
+168;0;0;0;niego
+168;1;0;0;z niego
+168;2;0;1;z niego dumny
+168;3;0;0;by
+168;4;0;0;ojciec
+168;5;0;0;że
+168;6;0;0;,
+168;7;0;0;.
+168;8;0;0;, że ojciec był by z niego dumny
+168;9;0;0;Czuł , że ojciec był by z niego dumny .
+796;0;0;0;ażurków
+796;1;0;0;zdobień
+796;2;0;0;zdobień i ażurków
+796;3;0;0;mnóstwem zdobień i ażurków
+796;4;0;0;,
+796;5;0;0;, z mnóstwem zdobień i ażurków
+796;6;0;0;precyzyjnie
+796;7;0;0;precyzyjnie wykończony , z mnóstwem zdobień i ażurków
+796;8;0;0;.
+796;9;0;-1;i precyzyjnie wykończony , z mnóstwem zdobień i ażurków
+796;10;0;0;Bardzo
+796;11;0;1;Bardzo ładnie i precyzyjnie wykończony , z mnóstwem zdobień i ażurków .
+188;0;0;-1;brutalni
+188;1;0;0;mieszkania
+188;2;-1;-1;brutalni przestępcy
+188;3;0;0;z mieszkania
+188;4;0;0;które
+188;5;0;0;,
+188;6;0;-1;, które zrabowali z mieszkania brutalni przestępcy
+188;7;0;-1;przedmiotów , które zrabowali z mieszkania brutalni przestępcy
+188;8;0;0;.
+188;9;0;0;listę przedmiotów , które zrabowali z mieszkania brutalni przestępcy
+188;10;0;0;Sporządzono listę przedmiotów , które zrabowali z mieszkania brutalni przestępcy .
+79;0;1;1;pożądana
+79;1;0;0;mi
+79;2;0;0;serca
+79;3;1;0;kobieta pożądana
+79;4;0;0;się
+79;5;0;0;mi dorosnąć
+79;6;0;0;Nuta serca
+79;7;0;0;.
+79;8;1;0;stać się kobieta pożądana
+79;9;0;1;Nuta serca pozwoliła mi dorosnąć
+79;10;0;0;Nuta serca pozwoliła mi dorosnąć i stać się kobieta pożądana .
+1092;0;0;0;pewnym
+1092;1;0;0;pewnym czasie
+1092;2;0;0;dopiero
+1092;3;0;0;.
+1092;4;0;0;dopiero po pewnym czasie
+1092;5;0;0;mnie
+1092;6;1;0;urzekły mnie dopiero po pewnym czasie .
+413;0;-1;-1;ciężki
+413;1;0;0;nieco
+413;2;0;0;.
+413;3;-1;-1;nieco za ciężki
+413;4;0;0;dzień
+413;5;0;0;Na dzień nieco za ciężki .
+1020;0;0;0;biust
+1020;1;0;0;który
+1020;2;0;0;,
+1020;3;0;0;uwydatnia biust
+1020;4;0;0;, który podkreśla
+1020;5;0;0;, który podkreśla i uwydatnia biust
+1020;6;1;1;fajny
+1020;7;0;0;tym
+1020;8;0;0;.
+1020;9;1;1;fajny krój , który podkreśla i uwydatnia biust
+1020;10;0;0;Przy tym
+1020;11;0;0;Przy tym ma fajny krój , który podkreśla i uwydatnia biust .
+19;0;0;0;seksowny
+19;1;1;1;uroczy
+19;2;0;0;bardzo
+19;3;0;0;.
+19;4;1;1;bardzo uroczy i seksowny
+19;5;0;0;Stanik
+19;6;0;0;Stanik jest bardzo uroczy i seksowny .
+108;0;0;0;najbardziej
+108;1;0;0;zapachu
+108;2;1;1;najbardziej adekwatna
+108;3;0;0;Energise
+108;4;0;0;.
+108;5;0;0;do zapachu
+108;6;1;0;Energise jak najbardziej adekwatna
+108;7;0;0;Nazwa Energise jak najbardziej adekwatna do zapachu .
+560;0;0;0;nowymi
+560;1;0;1;nowymi zapachami
+560;2;0;0;z nowymi zapachami
+560;3;0;0;.
+560;4;0;1;konkurować z nowymi zapachami
+560;5;0;0;Spokojnie
+560;6;0;0;Spokojnie mogą konkurować z nowymi zapachami .
+1145;0;0;0;każdej
+1145;1;0;0;każdej kobiety
+1145;2;0;0;dla każdej kobiety
+1145;3;0;0;.
+1145;4;0;0;prezent dla każdej kobiety
+1145;5;1;1;Idealny
+1145;6;0;0;Idealny jako prezent dla każdej kobiety .
+213;0;1;1;niepowtarzalnym
+213;1;1;1;niepowtarzalnym flakonie
+213;2;1;1;w niepowtarzalnym flakonie
+213;3;0;0;.
+213;4;1;1;umieszczona w niepowtarzalnym flakonie
+213;5;0;1;Całość umieszczona w niepowtarzalnym flakonie .
+158;0;1;0;młodych
+158;1;0;0;młodych kobiet
+158;2;0;0;dla młodych kobiet
+158;3;0;0;sam
+158;4;0;0;.
+158;5;0;0;sam raz dla młodych kobiet
+158;6;0;0;W sam raz dla młodych kobiet .
+2;0;0;0;bardzo
+2;1;0;0;bardzo kobiecych
+2;2;0;0;bardzo kobiecych kolorach
+2;3;1;1;ładny
+2;4;0;0;w bardzo kobiecych kolorach
+2;5;1;1;ładny krój
+2;6;0;0;.
+2;7;0;0;jest w bardzo kobiecych kolorach
+2;8;1;1;Ma ładny krój
+2;9;0;0;Ma ładny krój i jest w bardzo kobiecych kolorach .
+504;0;1;1;klasyczny
+504;1;0;0;bardzo
+504;2;0;1;klasyczny perfum
+504;3;0;0;intesywna
+504;4;1;0;klasyczny perfum bardzo trwała
+504;5;0;0;.
+504;6;0;0;intesywna woń
+504;7;1;0;to klasyczny perfum bardzo trwała
+504;8;0;0;to klasyczny perfum bardzo trwała , intesywna woń .
+1153;0;0;0;fiolkę
+1153;1;0;0;ml
+1153;2;0;0;za fiolkę
+1153;3;0;0;.
+1153;4;0;0;za fiolkę 125 ml
+1153;5;1;1;Dobra
+1153;6;0;0;Dobra cena za fiolkę 125 ml .
+761;0;0;0;przemysłowego
+761;1;0;0;wzornictwa przemysłowego
+761;2;0;0;centrum wzornictwa przemysłowego
+761;3;0;0;utworzenia centrum wzornictwa przemysłowego
+761;4;0;0;do utworzenia centrum wzornictwa przemysłowego
+761;5;1;1;świetne
+761;6;0;1;świetne miejsce do utworzenia centrum wzornictwa przemysłowego
+761;7;0;0;będzie
+761;8;0;0;że
+761;9;0;0;,
+761;10;0;0;.
+761;11;0;0;, że będzie to świetne miejsce do utworzenia centrum wzornictwa przemysłowego
+761;12;0;0;Zgodnie
+761;13;0;0;Zgodnie ocenili , że będzie to świetne miejsce do utworzenia centrum wzornictwa przemysłowego .
+36;0;0;0;chyba
+36;1;0;0;najbardziej
+36;2;0;0;najbardziej chyba znanych
+36;3;0;0;wszystkich
+36;4;0;0;z najbardziej chyba znanych
+36;5;0;0;wszystkich zapachów
+36;6;0;0;jeden z najbardziej chyba znanych
+36;7;0;0;.
+36;8;0;0;przez wszystkich zapachów
+36;9;0;0;to jeden z najbardziej chyba znanych
+36;10;0;0;5 to jeden z najbardziej chyba znanych przez wszystkich zapachów .
+305;0;-1;0;ubóstwa
+305;1;0;0;uznanego
+305;2;0;0;uznanego progu ubóstwa
+305;3;0;0;mieszkańców
+305;4;0;0;znaczny
+305;5;0;0;którym
+305;6;0;0;poniżej uznanego progu ubóstwa
+305;7;0;0;znaczny procent mieszkańców
+305;8;0;0;w którym
+305;9;0;0;,
+305;10;0;0;, w którym znaczny procent mieszkańców żyje poniżej uznanego progu ubóstwa
+305;11;0;0;kraju , w którym znaczny procent mieszkańców żyje poniżej uznanego progu ubóstwa
+305;12;0;0;gospodarczy
+305;13;0;0;urodzeń
+305;14;0;1;Wysoka
+305;15;0;0;.
+305;16;0;0;rozwój gospodarczy kraju , w którym znaczny procent mieszkańców żyje poniżej uznanego progu ubóstwa
+305;17;0;0;także
+305;18;0;0;Wysoka liczba urodzeń
+305;19;0;0;Wysoka liczba urodzeń hamuje także rozwój gospodarczy kraju , w którym znaczny procent mieszkańców żyje poniżej uznanego progu ubóstwa .
+302;0;0;0;europejskiego
+302;1;0;0;irlandzkiego
+302;2;0;0;irlandzkiego i europejskiego
+302;3;0;0;prawa irlandzkiego i europejskiego
+302;4;0;0;harmonizowania prawa irlandzkiego i europejskiego
+302;5;0;0;problemów harmonizowania prawa irlandzkiego i europejskiego
+302;6;0;0;wybitny
+302;7;1;0;wybitny znawca problemów harmonizowania prawa irlandzkiego i europejskiego
+302;8;0;0;tym
+302;9;0;0;jako wybitny znawca problemów harmonizowania prawa irlandzkiego i europejskiego
+302;10;0;0;tym okresie
+302;11;0;0;Robinson
+302;12;0;0;.
+302;13;0;0;uznanie jako wybitny znawca problemów harmonizowania prawa irlandzkiego i europejskiego
+302;14;0;0;w tym okresie
+302;15;0;0;Mary Robinson
+302;16;0;0;Mary Robinson zdobyła w tym okresie uznanie jako wybitny znawca problemów harmonizowania prawa irlandzkiego i europejskiego .
+743;0;0;0;skórze
+743;1;0;0;na skórze
+743;2;0;0;się
+743;3;0;0;długo
+743;4;0;0;który
+743;5;0;0;,
+743;6;0;0;, który długo utrzymuje się na skórze
+743;7;1;1;wyjątkowy
+743;8;0;0;one
+743;9;0;0;.
+743;10;1;0;one wyjątkowy zapach , który długo utrzymuje się na skórze
+743;11;0;0;Mają one wyjątkowy zapach , który długo utrzymuje się na skórze .
+147;0;1;0;świecie
+147;1;0;0;egoistycznych
+147;2;0;0;swych
+147;3;0;0;na świecie
+147;4;0;0;postępu
+147;5;0;0;swych egoistycznych interesów
+147;6;0;0;pochód postępu na świecie
+147;7;0;0;imię swych egoistycznych interesów
+147;8;0;0;powstrzymać pochód postępu na świecie
+147;9;0;0;w imię swych egoistycznych interesów
+147;10;0;0;które
+147;11;0;0;,
+147;12;0;0;, które w imię swych egoistycznych interesów chcą powstrzymać pochód postępu na świecie
+147;13;0;0;siłami , które w imię swych egoistycznych interesów chcą powstrzymać pochód postępu na świecie
+147;14;0;0;miejscach
+147;15;0;0;z siłami , które w imię swych egoistycznych interesów chcą powstrzymać pochód postępu na świecie
+147;16;0;0;wielu miejscach
+147;17;-1;-1;walki z siłami , które w imię swych egoistycznych interesów chcą powstrzymać pochód postępu na świecie
+147;18;0;0;się
+147;19;0;0;w wielu miejscach
+147;20;0;0;iż
+147;21;0;0;,
+147;22;-1;0;.
+147;23;0;0;, iż w wielu miejscach toczą się walki z siłami , które w imię swych egoistycznych interesów chcą powstrzymać pochód postępu na świecie
+147;24;0;0;także
+147;25;0;0;Wiecie także , iż w wielu miejscach toczą się walki z siłami , które w imię swych egoistycznych interesów chcą powstrzymać pochód postępu na świecie .
+1068;0;0;0;starszych
+1068;1;0;0;starszych kobiet
+1068;2;0;0;dla starszych kobiet
+1068;3;1;0;Odpowiednie dla starszych kobiet
+133;0;0;0;krakowskich
+133;1;0;0;krakowskich atelier
+133;2;0;0;z krakowskich atelier
+133;3;0;1;jednym z krakowskich atelier
+133;4;0;0;powstańczym
+133;5;0;0;powstańcza
+133;6;0;1;oryginalne
+133;7;0;1;w jednym z krakowskich atelier
+133;8;0;0;powstańczym stroju
+133;9;1;0;ulotki
+133;10;0;0;powstańcza prasa
+133;11;0;0;,
+133;12;0;0;oryginalne dokumenty
+133;13;0;1;wykonana w jednym z krakowskich atelier
+133;14;0;0;,
+133;15;0;0;w powstańczym stroju
+133;16;1;1;piękna
+133;17;0;0;jego
+133;18;0;0;oryginalne dokumenty , powstańcza prasa i ulotki
+133;19;0;0;także
+133;20;0;0;,
+133;21;0;1;jego piękna fotografia w powstańczym stroju , wykonana w jednym z krakowskich atelier
+133;22;-1;0;.
+133;23;0;0;jego piękna fotografia w powstańczym stroju , wykonana w jednym z krakowskich atelier , a także oryginalne dokumenty , powstańcza prasa i ulotki
+133;24;0;0;się
+133;25;0;0;Zachowała się jego piękna fotografia w powstańczym stroju , wykonana w jednym z krakowskich atelier , a także oryginalne dokumenty , powstańcza prasa i ulotki .
+245;0;1;0;idealnymi
+245;1;0;0;ponętnym
+245;2;1;0;idealnymi krągłościami
+245;3;1;0;idealnymi krągłościami i ponętnym
+245;4;0;0;,
+245;5;0;0;każdy
+245;6;0;0;Ślicznie
+245;7;0;0;jędrnym
+245;8;0;0;,
+245;9;1;0;, emanując idealnymi krągłościami i ponętnym
+245;10;0;0;zachwycająco
+245;11;0;0;każdy biust
+245;12;0;0;iż
+245;13;0;0;,
+245;14;1;1;Ślicznie wymodelowany
+245;15;0;0;.
+245;16;0;0;jędrnym wizerunkiem
+245;17;1;0;, iż każdy biust wygląda zachwycająco , emanując idealnymi krągłościami i ponętnym ,
+245;18;1;1;Ślicznie wymodelowany fasonik
+245;19;0;0;Ślicznie wymodelowany fasonik sprawia , iż każdy biust wygląda zachwycająco , emanując idealnymi krągłościami i ponętnym , jędrnym wizerunkiem .
+943;0;0;0;pierwszego
+943;1;0;1;pierwszego węchu
+943;2;0;1;od pierwszego węchu
+943;3;0;0;takiego
+943;4;1;1;zachwyt od pierwszego węchu
+943;5;0;0;co
+943;6;0;0;coś takiego
+943;7;0;0;sobie
+943;8;0;0;.
+943;9;1;1;coś takiego co powoduje zachwyt od pierwszego węchu
+943;10;0;0;w sobie
+943;11;0;0;Ma w sobie coś takiego co powoduje zachwyt od pierwszego węchu .
+631;0;0;0;dotyki
+631;1;0;0;w dotyki
+631;2;0;0;niezwykle
+631;3;1;1;miły w dotyki
+631;4;0;0;.
+631;5;0;1;niezwykle miękki
+631;6;1;1;Jest miły w dotyki
+631;7;0;1;Jest miły w dotyki i niezwykle miękki .
+576;0;0;0;duży
+576;1;0;0;każdej
+576;2;0;0;duży biust
+576;3;0;0;mały
+576;4;0;0;każdej pani
+576;5;0;1;mały czy duży biust
+576;6;0;0;do każdej pani
+576;7;0;1;ma mały czy duży biust
+576;8;0;0;dopasowany do każdej pani
+576;9;0;0;.
+576;10;0;0;dopasowany do każdej pani czy ma mały czy duży biust
+576;11;0;0;Jest dopasowany do każdej pani czy ma mały czy duży biust .
+1163;0;0;0;seksownej
+1163;1;0;0;zmysłowej
+1163;2;0;0;każdej
+1163;3;0;0;Cherie-rewelacja
+1163;4;1;0;każdej zmysłowej , seksownej
+1163;5;1;0;Dior Cherie-rewelacja
+1163;6;1;0;każdej zmysłowej , seksownej kobiety
+1163;7;1;1;Miss Dior Cherie-rewelacja
+1163;8;1;0;dla każdej zmysłowej , seksownej kobiety
+1163;9;1;1;Dior Miss Dior Cherie-rewelacja
+1163;10;0;0;.
+1163;11;1;1;Christian Dior Miss Dior Cherie-rewelacja dla każdej zmysłowej , seksownej kobiety
+1163;12;1;1;Polecam Christian Dior Miss Dior Cherie-rewelacja dla każdej zmysłowej , seksownej kobiety .
+899;0;0;0;co
+899;1;1;0;dodatkowy
+899;2;0;0;za co
+899;3;0;0;,
+899;4;1;0;, za co dodatkowy plus
+899;5;0;0;zapachową
+899;6;0;0;inną
+899;7;1;0;inną nutę zapachową , za co dodatkowy plus
+899;8;1;0;nieco inną nutę zapachową , za co dodatkowy plus
+899;9;0;0;czasie
+899;10;0;0;.
+899;11;1;0;w nieco inną nutę zapachową , za co dodatkowy plus
+899;12;0;0;Po czasie
+899;13;0;0;Po czasie przechodzi w nieco inną nutę zapachową , za co dodatkowy plus .
+271;0;0;0;haftowane
+271;1;0;0;zmysłowe
+271;2;0;0;Gabriella
+271;3;1;0;zmysłowe , haftowane
+271;4;0;0;biustonosz Gabriella
+271;5;0;0;,
+271;6;1;0;zmysłowe , haftowane kwiaty
+271;7;1;1;Jednolity
+271;8;0;0;.
+271;9;1;0;zmysłowe , haftowane kwiaty , czyli biustonosz Gabriella
+271;10;0;0;Jednolity kolor
+271;11;0;0;Jednolity kolor oraz zmysłowe , haftowane kwiaty , czyli biustonosz Gabriella .
+1053;0;0;0;tak
+1053;1;1;1;tak świetnej
+1053;2;0;0;finału
+1053;3;0;1;tak świetnej kondycji
+1053;4;0;0;do finału
+1053;5;0;1;w tak świetnej kondycji
+1053;6;0;0;by
+1053;7;0;0;,
+1053;8;0;0;?
+1053;9;0;0;, by w tak świetnej kondycji dotańczyć do finału
+1053;10;0;0;Co
+1053;11;0;0;-
+1053;12;0;0;- Co robicie , by w tak świetnej kondycji dotańczyć do finału ?
+759;0;0;0;specjalny
+759;1;1;0;specjalny wieczór
+759;2;0;0;.
+759;3;1;0;na specjalny wieczór
+759;4;1;0;Pasuje na specjalny wieczór .
+461;0;0;0;Bardzo
+461;1;0;0;.
+461;2;0;0;butelki
+461;3;1;1;Bardzo fajny
+461;4;0;0;Bardzo fajny desing butelki .
+528;0;0;0;prezencie
+528;1;0;0;w prezencie
+528;2;0;0;bardzo
+528;3;0;0;Gabbana
+528;4;0;0;osiemnastkę
+528;5;0;0;przyjaciółki w prezencie
+528;6;0;0;perfumowana
+528;7;1;1;bardzo fajna
+528;8;0;0;& Gabbana
+528;9;0;0;na osiemnastkę
+528;10;0;0;od przyjaciółki w prezencie
+528;11;0;0;ją
+528;12;0;0;m
+528;13;1;1;bardzo fajna woda perfumowana
+528;14;0;0;Dolce & Gabbana
+528;15;0;0;.
+528;16;0;0;dostała m ją od przyjaciółki w prezencie na osiemnastkę
+528;17;1;0;Dolce & Gabbana to bardzo fajna woda perfumowana
+528;18;0;0;Dolce & Gabbana to bardzo fajna woda perfumowana , dostała m ją od przyjaciółki w prezencie na osiemnastkę .
+332;0;1;1;klasyczna
+332;1;0;0;?
+332;2;0;0;cena
+332;3;0;0;Buteleczka klasyczna
+332;4;0;0;Buteleczka klasyczna a cena ?
+939;0;1;0;najbliższym
+939;1;0;0;najbliższym czasie
+939;2;0;0;w najbliższym czasie
+939;3;0;0;pewno
+939;4;0;0;Te
+939;5;0;0;.
+939;6;0;0;na pewno w najbliższym czasie
+939;7;0;0;Te perfumy
+939;8;0;0;Te perfumy zakupię na pewno w najbliższym czasie .
+988;0;0;0;,
+988;1;0;0;nieujarzmionych
+988;2;0;0;aktywnych ,
+988;3;0;0;nieujarzmionych panów
+988;4;0;0;aktywnych , dzikiech
+988;5;0;0;.
+988;6;0;0;aktywnych , dzikiech i nieujarzmionych panów
+988;7;0;0;Dla aktywnych , dzikiech i nieujarzmionych panów .
+601;0;1;1;efektywną
+601;1;0;0;.
+601;2;1;0;efektywną buteleczkę
+601;3;0;0;Ma efektywną buteleczkę .
+824;0;0;0;zapachów
+824;1;0;0;kanonu zapachów
+824;2;0;0;już
+824;3;0;0;do kanonu zapachów
+824;4;0;0;się
+824;5;0;0;już dawno
+824;6;0;0;która
+824;7;0;0;,
+824;8;0;0;.
+824;9;0;0;, która już dawno wpisała się do kanonu zapachów
+824;10;1;0;Klasyczna
+824;11;0;0;Klasyczna woda , która już dawno wpisała się do kanonu zapachów .
+66;0;0;0;indywidualny
+66;1;0;0;własny
+66;2;0;0;własny , indywidualny
+66;3;0;0;życia
+66;4;1;1;kochających własny , indywidualny
+66;5;1;1;kochających własny , indywidualny styl życia
+66;6;0;0;,
+66;7;0;0;stylowych
+66;8;1;1;kobiet stylowych , kochających własny , indywidualny styl życia
+66;9;0;0;.
+66;10;1;0;dla kobiet stylowych , kochających własny , indywidualny styl życia
+66;11;0;0;perfumowana
+66;12;0;0;Woda
+66;13;0;0;Woda perfumowana przeznaczona dla kobiet stylowych , kochających własny , indywidualny styl życia .
+596;0;0;0;cały
+596;1;0;0;perfumu
+596;2;0;0;bardzo
+596;3;0;0;cały dzień
+596;4;0;0;kropelek perfumu
+596;5;0;0;bardzo długo
+596;6;0;0;przez cały dzień
+596;7;0;0;kilka kropelek perfumu
+596;8;0;0;na bardzo długo
+596;9;0;0;starcza
+596;10;0;0;Woda
+596;11;0;0;.
+596;12;0;0;pachnie przez cały dzień
+596;13;0;0;wystarczy kilka kropelek perfumu
+596;14;0;0;,
+596;15;0;0;Woda perfumowana starcza na bardzo długo
+596;16;0;0;Woda perfumowana starcza na bardzo długo , wystarczy kilka kropelek perfumu a pachnie przez cały dzień .
+873;0;0;0;Versace
+873;1;1;1;Najlepszy
+873;2;0;0;.
+873;3;0;0;dotąd
+873;4;1;1;Najlepszy zapach Versace
+873;5;0;1;Najlepszy zapach Versace jak dotąd .
+408;0;0;0;jakie
+408;1;1;1;najlepszych
+408;2;1;1;najlepszych perfum jakie
+408;3;1;1;z najlepszych perfum jakie
+408;4;0;0;.
+408;5;0;0;m
+408;6;1;1;Jedne z najlepszych perfum jakie
+408;7;0;0;Jedne z najlepszych perfum jakie miała m .
+449;0;0;0;nie
+449;1;0;0;się
+449;2;0;0;który
+449;3;0;0;,
+449;4;1;0;, który się nie nudzi
+449;5;0;0;-
+449;6;1;0;Zapach , który się nie nudzi
+449;7;0;0;One -
+449;8;0;0;The
+449;9;1;0;Gabbana The One - Zapach , który się nie nudzi
+449;10;0;0;.
+449;11;1;0;Dolce& Gabbana The One - Zapach , który się nie nudzi
+449;12;0;0;Perfumy Dolce& Gabbana The One - Zapach , który się nie nudzi .
+473;0;1;1;dojrzałą
+473;1;0;1;dojrzałą kobietą
+473;2;0;0;.
+473;3;0;0;z dojrzałą kobietą
+473;4;0;0;się
+473;5;0;0;mi
+473;6;0;0;zdecydowanie
+473;7;0;0;5
+473;8;0;0;5 zdecydowanie kojarzy mi się z dojrzałą kobietą .
+918;0;0;0;tak
+918;1;0;0;ten
+918;2;0;0;też
+918;3;0;0;tego
+918;4;0;0;się
+918;5;0;1;tak ładnie
+918;6;0;0;ten biustonosz
+918;7;0;0;Przepięknie
+918;8;1;1;korzystna
+918;9;0;0;cena też
+918;10;0;0;do tego
+918;11;1;1;Przepięknie wygląda ten biustonosz tak ładnie się
+918;12;0;0;.
+918;13;1;0;do tego cena też jest korzystna
+918;14;1;1;Przepięknie wygląda ten biustonosz tak ładnie się prezentuje
+918;15;0;0;Przepięknie wygląda ten biustonosz tak ładnie się prezentuje a do tego cena też jest korzystna .
+985;0;0;0;,
+985;1;0;0;przeciwniczek
+985;2;0;0;, jak
+985;3;0;0;owych
+985;4;-1;0;, jak i przeciwniczek
+985;5;0;0;zwolenniczek
+985;6;0;0;tak
+985;7;0;0;zarówno
+985;8;0;0;owych perfum
+985;9;0;0;zarówno tak wiele zwolenniczek , jak i przeciwniczek
+985;10;0;0;który
+985;11;0;0;,
+985;12;0;0;poprzednikiem owych perfum
+985;13;0;0;, który ma zarówno tak wiele zwolenniczek , jak i przeciwniczek
+985;14;0;0;z poprzednikiem owych perfum
+985;15;0;0;myśli
+985;16;0;0;"
+985;17;0;0;specyficzny
+985;18;0;0;"
+985;19;0;0;5 , który ma zarówno tak wiele zwolenniczek , jak i przeciwniczek
+985;20;1;1;kultowym
+985;21;0;1;podobieństwa z poprzednikiem owych perfum
+985;22;0;0;na myśli
+985;23;0;0;nie
+985;24;0;0;specyficzny zapach "
+985;25;0;0;Mówiąc "
+985;26;0;0;.
+985;27;0;0;kultowym numerze 5 , który ma zarówno tak wiele zwolenniczek , jak i przeciwniczek
+985;28;0;0;,
+985;29;0;0;Mówiąc " specyficzny zapach " nie mam na myśli podobieństwa z poprzednikiem owych perfum
+985;30;0;0;Mówiąc " specyficzny zapach " nie mam na myśli podobieństwa z poprzednikiem owych perfum , czyli kultowym numerze 5 , który ma zarówno tak wiele zwolenniczek , jak i przeciwniczek .
+541;0;0;0;opinia
+541;1;0;0;kobiety
+541;2;0;0;kobiety jako opinia
+541;3;0;0;.
+541;4;0;0;oko kobiety jako opinia
+541;5;0;0;się
+541;6;1;0;Przyda się oko kobiety jako opinia .
+48;0;0;0;taki
+48;1;0;0;troszkę
+48;2;0;0;taki krój
+48;3;0;1;troszkę wysoka
+48;4;0;0;.
+48;5;0;0;na taki krój
+48;6;0;0;,
+48;7;-1;-1;cena troszkę wysoka
+48;8;0;0;Jednak
+48;9;0;0;Jednak cena troszkę wysoka , jak na taki krój .
+867;0;0;0;tym
+867;1;0;0;tym sezonie
+867;2;0;0;w tym sezonie
+867;3;0;0;bardzo
+867;4;0;0;purpurowego
+867;5;0;0;.
+867;6;1;1;bardzo modny w tym sezonie
+867;7;0;0;purpurowego różu
+867;8;0;0;Kolor purpurowego różu bardzo modny w tym sezonie .
+18;0;0;0;wieczorowej
+18;1;0;0;sukni wieczorowej
+18;2;0;0;.
+18;3;0;0;do sukni wieczorowej
+18;4;0;0;również
+18;5;0;0;Idealnie
+18;6;1;1;Idealnie pasuje również do sukni wieczorowej .
+817;0;0;0;prostu
+817;1;0;0;po prostu
+817;2;0;0;Ten
+817;3;0;0;.
+817;4;1;1;po prostu boski
+817;5;0;0;Ten biustonosz
+817;6;0;0;Ten biustonosz jest po prostu boski .
+592;0;0;0;górze
+592;1;0;0;ku górze
+592;2;0;0;nadmierni ku górze
+592;3;0;0;się
+592;4;0;0;biustonosz
+592;5;0;0;że
+592;6;0;0;,
+592;7;0;0;to
+592;8;0;0;.
+592;9;0;0;, że biustonosz unosi się nadmierni ku górze
+592;10;0;0;się
+592;11;0;0;Przez to
+592;12;0;0;Przez to zdarza się , że biustonosz unosi się nadmierni ku górze .
+968;0;0;0;biustu
+968;1;0;0;kształtu biustu
+968;2;0;0;.
+968;3;0;0;do kształtu biustu
+968;4;0;0;się
+968;5;1;1;Świetnie
+968;6;0;0;Świetnie dopasowuje się do kształtu biustu .
+938;0;0;0;prosty
+938;1;1;1;przepiękny
+938;2;0;0;duży
+938;3;1;1;przepiękny , prosty
+938;4;0;1;duży kryształ
+938;5;0;0;zakrętka
+938;6;1;1;przepiękny , prosty flakon
+938;7;0;0;.
+938;8;0;1;zakrętka przypomina duży kryształ
+938;9;0;0;,
+938;10;1;0;Mają przepiękny , prosty flakon
+938;11;0;0;Mają przepiękny , prosty flakon , lecz zakrętka przypomina duży kryształ .
+825;0;0;0;Ten
+825;1;0;0;mnie
+825;2;0;0;Ten zapach
+825;3;0;0;!
+825;4;-1;-1;uzależnił
+825;5;1;0;Ten zapach uwiódł mnie
+825;6;0;0;Ten zapach uwiódł mnie i uzależnił !
+833;0;0;0;historii
+833;1;1;1;wspaniałą
+833;2;0;0;wspaniałą lekcję historii
+833;3;0;0;.
+833;4;0;0;za wspaniałą lekcję historii
+833;5;0;0;je
+833;6;0;0;Obaj
+833;7;0;0;Obaj uznali je za wspaniałą lekcję historii .
+735;0;1;1;godnym
+735;1;0;0;Chanel
+735;2;0;0;perfumowana
+735;3;1;1;godnym polecenia
+735;4;0;0;perfumowana firmy Chanel
+735;5;0;0;.
+735;6;1;1;produktem godnym polecenia
+735;7;0;0;Mademoiselle
+735;8;0;0;Coco
+735;9;0;0;Woda perfumowana firmy Chanel
+735;10;0;0;Woda perfumowana firmy Chanel Coco Mademoiselle jest produktem godnym polecenia .
+976;0;-1;0;horrendalna
+976;1;0;0;.
+976;2;-1;0;horrendalna cena
+976;3;0;0;Jest
+976;4;0;0;Jest to horrendalna cena .
+274;0;0;0;biust
+274;1;0;0;ciało
+274;2;1;1;Świetnie
+274;3;0;0;.
+274;4;0;0;podkreśla biust
+274;5;1;1;Świetnie opływa ciało
+274;6;0;0;Świetnie opływa ciało i podkreśla biust .
+961;0;1;1;dobre
+961;1;0;0;szczególnie
+961;2;1;1;dobre perfumy
+961;3;0;0;naprawdę
+961;4;0;0;.
+961;5;0;0;szczególnie zapachy
+961;6;1;0;Mają naprawdę dobre perfumy
+961;7;0;0;Mają naprawdę dobre perfumy , szczególnie zapachy .
+1040;0;0;0;europejskiej
+1040;1;0;0;powojennej
+1040;2;0;0;powojennej polityki europejskiej
+1040;3;1;1;najwybitniejszych
+1040;4;0;0;Dietrich
+1040;5;0;0;najwybitniejszych kreatorów powojennej polityki europejskiej
+1040;6;0;0;Genscher
+1040;7;0;0;- Dietrich
+1040;8;0;0;.
+1040;9;0;0;do najwybitniejszych kreatorów powojennej polityki europejskiej
+1040;10;0;0;Hans - Dietrich Genscher
+1040;11;0;0;Hans - Dietrich Genscher należy do najwybitniejszych kreatorów powojennej polityki europejskiej .
+377;0;0;0;ten
+377;1;1;1;czystym
+377;2;0;0;ten biustonosz
+377;3;1;1;czystym sumieniem
+377;4;0;0;.
+377;5;1;0;polecić ten biustonosz
+377;6;1;1;Z czystym sumieniem
+377;7;0;0;Z czystym sumieniem mogę polecić ten biustonosz .
+826;0;0;0;bardzo
+826;1;0;0;zapachowych
+826;2;0;0;różnych
+826;3;1;1;bardzo interesującą
+826;4;0;0;różnych nutek zapachowych
+826;5;1;1;Ciekawe
+826;6;0;0;.
+826;7;1;1;bardzo interesującą mieszankę
+826;8;1;0;Ciekawe zestawienie różnych nutek zapachowych
+826;9;0;1;Ciekawe zestawienie różnych nutek zapachowych daje bardzo interesującą mieszankę .
+456;0;0;0;także
+456;1;0;0;się
+456;2;0;0;,
+456;3;0;0;także papużki
+456;4;0;0;,
+456;5;0;0;Wszystkie
+456;6;0;0;.
+456;7;0;0;się kąpać
+456;8;0;0;Wszystkie ptaki , także papużki ,
+456;9;1;1;Wszystkie ptaki , także papużki , lubią się kąpać .
+451;0;-1;-1;bałaganu
+451;1;0;0;zmęczenia
+451;2;0;0;Zbyt
+451;3;0;0;zmęczenia i bałaganu
+451;4;0;0;życia
+451;5;0;0;Zbyt szybkie
+451;6;0;0;.
+451;7;0;0;do zmęczenia i bałaganu
+451;8;0;0;zwykle
+451;9;0;0;Zbyt szybkie tempo życia
+451;10;0;0;Zbyt szybkie tempo życia doprowadza zwykle do zmęczenia i bałaganu .
+565;0;0;0;mnie
+565;1;0;0;na mnie
+565;2;0;-1;napadem na mnie
+565;3;0;-1;z napadem na mnie
+565;4;0;1;wspólnego z napadem na mnie
+565;5;0;1;coś wspólnego z napadem na mnie
+565;6;0;1;mieć coś wspólnego z napadem na mnie
+565;7;0;0;on
+565;8;0;0;?
+565;9;0;1;on mógł mieć coś wspólnego z napadem na mnie
+565;10;0;0;Czekaj
+565;11;0;0;Czekaj , on mógł mieć coś wspólnego z napadem na mnie ?
+990;0;0;0;ożywczym
+990;1;1;0;rześkim
+990;2;1;0;rześkim , ożywczym
+990;3;1;0;rześkim , ożywczym zapachu
+990;4;0;0;.
+990;5;1;1;o rześkim , ożywczym zapachu
+990;6;0;0;toaletowa
+990;7;0;0;Woda toaletowa o rześkim , ożywczym zapachu .
+136;0;0;0;słońca
+136;1;0;0;oczami
+136;2;-1;0;niepokojące
+136;3;0;0;jakieś
+136;4;0;0;zachód słońca
+136;5;0;0;przed oczami
+136;6;0;0;ciągle
+136;7;-1;0;jakieś niepokojące odczucia
+136;8;0;0;kolor
+136;9;0;0;ciągle mam przed oczami zachód słońca
+136;10;-1;0;kolor przynosi jakieś niepokojące odczucia
+136;11;0;0;kształtem
+136;12;-1;0;kolor przynosi jakieś niepokojące odczucia ( ciągle mam przed oczami zachód słońca
+136;13;0;0;nie
+136;14;0;0;Flakon kształtem
+136;15;0;0;.
+136;16;-1;0;kolor przynosi jakieś niepokojące odczucia ( ciągle mam przed oczami zachód słońca )
+136;17;0;0;,
+136;18;-1;0;Flakon kształtem nie zachwyca
+136;19;0;0;Flakon kształtem nie zachwyca , ale kolor przynosi jakieś niepokojące odczucia ( ciągle mam przed oczami zachód słońca ) .
+1024;0;0;0;sobie
+1024;1;0;0;radośnie
+1024;2;0;0;ku sobie
+1024;3;0;0;się
+1024;4;0;0;oczy
+1024;5;0;0;młode
+1024;6;1;0;się uśmiechać ku sobie radośnie
+1024;7;0;0;nagle
+1024;8;0;0;w oczy
+1024;9;0;0;sobie
+1024;10;0;0;młode istoty
+1024;11;0;0;.
+1024;12;0;0;nagle zaczęły się uśmiechać ku sobie radośnie
+1024;13;0;0;patrzyły sobie w oczy
+1024;14;0;0;Dwie młode istoty
+1024;15;0;0;Dwie młode istoty patrzyły sobie w oczy i nagle zaczęły się uśmiechać ku sobie radośnie .
+1109;0;0;0;jak
+1109;1;0;0;codzień jak
+1109;2;0;0;wieczór
+1109;3;0;0;na codzień jak
+1109;4;0;0;.
+1109;5;0;0;na wieczór
+1109;6;1;1;Idealne na codzień jak
+1109;7;0;0;Idealne na codzień jak i na wieczór .
+1063;0;1;1;praktyczny
+1063;1;0;0;"
+1063;2;0;0;ubraniem
+1063;3;1;0;szalenie praktyczny
+1063;4;0;0;,
+1063;5;0;0;pokaz "
+1063;6;0;0;"
+1063;7;0;0;ubraniem niż
+1063;8;1;1;" pokaz " , jednak szalenie praktyczny
+1063;9;0;0;pod ubraniem niż
+1063;10;1;1;na " pokaz " , jednak szalenie praktyczny
+1063;11;0;0;noszenia pod ubraniem niż
+1063;12;0;0;raczej
+1063;13;1;0;raczej do noszenia pod ubraniem niż na " pokaz " , jednak szalenie praktyczny
+1063;14;0;0;,
+1063;15;0;0;najseksowniejszy
+1063;16;1;0;najseksowniejszy biustonosz , raczej do noszenia pod ubraniem niż na " pokaz " , jednak szalenie praktyczny
+1063;17;0;0;jest
+1063;18;0;0;nie
+1063;19;0;0;.
+1063;20;1;0;nie jest to najseksowniejszy biustonosz , raczej do noszenia pod ubraniem niż na " pokaz " , jednak szalenie praktyczny
+1063;21;0;0;Może
+1063;22;0;0;Może i nie jest to najseksowniejszy biustonosz , raczej do noszenia pod ubraniem niż na " pokaz " , jednak szalenie praktyczny .
+292;0;0;0;który
+292;1;1;1;świeży
+292;2;0;0;się
+292;3;0;0;mi
+292;4;0;0;bardzo
+292;5;1;1;świeży aromat który
+292;6;0;0;.
+292;7;1;1;świeży aromat który bardzo mi się podoba
+292;8;0;0;niezwykle
+292;9;0;0;Ma niezwykle świeży aromat który bardzo mi się podoba .
+920;0;1;1;najlepszych
+920;1;0;0;Polskim
+920;2;1;1;najlepszych produktów
+920;3;0;0;rynku Polskim
+920;4;1;1;z najlepszych produktów
+920;5;0;0;na rynku Polskim
+920;6;1;1;jeden z najlepszych produktów
+920;7;0;0;.
+920;8;1;1;jeden z najlepszych produktów Kleina na rynku Polskim
+920;9;0;0;to
+920;10;0;0;Jest to jeden z najlepszych produktów Kleina na rynku Polskim .
+982;0;0;0;bardzo
+982;1;0;-1;nieciekawy
+982;2;0;1;bardzo ostry
+982;3;0;0;gustu
+982;4;-1;1;bardzo ostry nieciekawy zapach
+982;5;0;0;do gustu
+982;6;0;0;mi
+982;7;0;0;nie
+982;8;0;0;Kompletnie
+982;9;0;0;.
+982;10;-1;1;mają bardzo ostry nieciekawy zapach
+982;11;-1;0;Kompletnie nie przypadły mi do gustu
+982;12;0;0;Kompletnie nie przypadły mi do gustu , mają bardzo ostry nieciekawy zapach .
+347;0;1;0;stateczni
+347;1;0;0;.
+347;2;0;0;faceci stateczni
+347;3;0;0;Armaniego
+347;4;0;0;Armaniego używali faceci stateczni .
+894;0;-1;0;duszący
+894;1;0;0;się
+894;2;0;0;.
+894;3;-1;-1;trochę duszący
+894;4;0;0;wydawać się
+894;5;0;0;zapach
+894;6;0;0;Początkowo
+894;7;0;0;Początkowo zapach może wydawać się trochę duszący .
+941;0;1;1;zdecydowanych
+941;1;0;0;.
+941;2;0;1;zdecydowanych kobiet
+941;3;0;0;Dla zdecydowanych kobiet .
+197;0;0;0;własnych
+197;1;0;0;własnych możliwości
+197;2;0;0;nietrzeźwość
+197;3;0;0;przecenianie własnych możliwości
+197;4;0;0;policji
+197;5;0;0;tragedii
+197;6;0;0;Najczęstsze
+197;7;0;0;.
+197;8;0;0;przecenianie własnych możliwości i nietrzeźwość
+197;9;0;0;według policji
+197;10;0;0;Najczęstsze przyczyny tragedii
+197;11;0;0;Najczęstsze przyczyny tragedii to według policji przecenianie własnych możliwości i nietrzeźwość .
+1030;0;0;0;zapachowa
+1030;1;0;0;letnia
+1030;2;0;0;letnia nuta zapachowa
+1030;3;1;0;świeża
+1030;4;0;0;wakacje
+1030;5;0;0;się
+1030;6;0;0;mi
+1030;7;0;0;go
+1030;8;0;0;kiedy
+1030;9;0;0;że
+1030;10;0;0;świeża i letnia nuta zapachowa
+1030;11;0;0;Jego
+1030;12;0;0;.
+1030;13;0;0;kojarzą mi się wakacje
+1030;14;0;0;że kiedy go używam
+1030;15;0;0;,
+1030;16;0;0;Jego świeża i letnia nuta zapachowa sprawia
+1030;17;0;0;Jego świeża i letnia nuta zapachowa sprawia , że kiedy go używam , kojarzą mi się wakacje .
+125;0;0;0;jakościowo
+125;1;0;0;bardzo
+125;2;1;1;bardzo dobrego jakościowo
+125;3;1;1;bardzo dobrego jakościowo materiału
+125;4;0;0;ten
+125;5;0;0;.
+125;6;1;1;z bardzo dobrego jakościowo materiału
+125;7;0;0;jest
+125;8;0;0;Biustonosz ten
+125;9;0;1;Biustonosz ten jest wykonany z bardzo dobrego jakościowo materiału .
+338;0;0;0;jakie
+338;1;1;1;lepszych
+338;2;1;1;lepszych prezentów jakie
+338;3;1;1;z lepszych prezentów jakie
+338;4;0;0;!
+338;5;0;0;em
+338;6;0;0;kiedykolwiek
+338;7;1;1;Jeden z lepszych prezentów jakie
+338;8;0;0;Jeden z lepszych prezentów jakie kiedykolwiek dostał em !
+88;0;1;1;romantyczny
+88;1;0;0;.
+88;2;1;0;romantyczny zapach
+88;3;0;0;kwiatowy
+88;4;0;0;,
+88;5;0;0;Zmysłowy
+88;6;0;0;Zmysłowy , kwiatowy , romantyczny zapach .
+1093;0;1;0;ponadczasowy
+1093;1;0;0;mnie
+1093;2;1;0;zapach ponadczasowy
+1093;3;0;0;dla mnie
+1093;4;1;0;to dla mnie zapach ponadczasowy
+1093;5;1;0;Blue to dla mnie zapach ponadczasowy
+1093;6;0;0;Gabbana
+1093;7;1;1;Light Blue to dla mnie zapach ponadczasowy
+1093;8;0;0;& Gabbana
+1093;9;0;0;.
+1093;10;1;1;Dolce & Gabbana Light Blue to dla mnie zapach ponadczasowy
+1065;0;1;1;znanej
+1065;1;0;1;znanej marki
+1065;2;0;0;toaletowa
+1065;3;0;0;.
+1065;4;0;1;woda toaletowa znanej marki
+1065;5;0;0;Jest
+1065;6;0;0;Jest to woda toaletowa znanej marki .
+1088;0;0;0;lekki
+1088;1;0;0;- lekki
+1088;2;0;0;nie
+1088;3;0;0;kwiatowy
+1088;4;0;0;.
+1088;5;0;0;nie duszący - lekki
+1088;6;0;0;,
+1088;7;0;0;Zapach kwiatowy
+1088;8;0;0;Zapach kwiatowy , ale nie duszący - lekki .
+751;0;0;0;bardzo
+751;1;0;0;długotrwały
+751;2;1;1;bardzo przyjemny
+751;3;1;1;bardzo przyjemny , długotrwały
+751;4;0;0;.
+751;5;1;1;bardzo przyjemny , długotrwały zapach
+751;6;0;0;Ma bardzo przyjemny , długotrwały zapach .
+1123;0;0;0;zarazem
+1123;1;1;1;zarazem seksowny
+1123;2;0;0;.
+1123;3;1;1;zarazem seksowny stanik
+1123;4;1;1;ładny
+1123;5;0;0;Niezwykle
+1123;6;0;1;Niezwykle ładny a zarazem seksowny stanik .
+379;0;0;0;świecie
+379;1;0;0;.
+379;2;0;0;na świecie
+379;3;1;1;Najlepsza
+379;4;0;0;Najlepsza perfuma na świecie .
+351;0;0;0;ciała
+351;1;0;0;do ciała
+351;2;0;0;biust
+351;3;1;1;Dobrze
+351;4;0;0;.
+351;5;0;0;przylega do ciała
+351;6;1;1;Dobrze trzyma biust
+351;7;0;0;Dobrze trzyma biust i przylega do ciała .
+183;0;0;0;prostu
+183;1;0;0;po prostu
+183;2;0;0;Te
+183;3;0;0;.
+183;4;-1;-1;po prostu tragiczne
+183;5;0;0;Te wycięcie
+183;6;0;0;Te wycięcie jest po prostu tragiczne .
+276;0;0;0;!
+276;1;1;0;NIESAMOWITY
+276;2;0;0;! !
+276;3;1;0;NIESAMOWITY ZAPACH
+276;4;0;0;MA NIESAMOWITY ZAPACH ! !
+43;0;0;0;które
+43;1;0;0;,
+43;2;0;0;kieliszku
+43;3;1;0;, które lubisz
+43;4;0;0;hiszpańskie
+43;5;0;0;to
+43;6;1;1;dobrego
+43;7;0;0;kuchni
+43;8;0;0;po kieliszku
+43;9;0;0;to hiszpańskie wino , które lubisz
+43;10;0;0;em
+43;11;0;1;coś dobrego
+43;12;0;0;sobie
+43;13;0;0;do kuchni
+43;14;0;0;wypijemy po kieliszku
+43;15;0;0;kupił em to hiszpańskie wino , które lubisz
+43;16;0;1;zrobimy sobie coś dobrego
+43;17;0;0;Chodź do kuchni
+43;18;0;0;.
+43;19;0;0;kupił em to hiszpańskie wino , które lubisz , wypijemy po kieliszku
+43;20;0;0;Chodź do kuchni , zrobimy sobie coś dobrego
+43;21;0;0;Chodź do kuchni , zrobimy sobie coś dobrego , kupił em to hiszpańskie wino , które lubisz , wypijemy po kieliszku .
+100;0;1;1;wysoką
+100;1;-1;-1;wysoką cenę
+100;2;0;0;rynku
+100;3;0;0;.
+100;4;-1;-1;za wysoką cenę
+100;5;0;0;na rynku
+100;6;0;0;jakich
+100;7;0;0;jakich wiele na rynku za wysoką cenę .
+100;8;0;0;, jakich wiele na rynku za wysoką cenę .
+100;9;0;0;Pospolita
+100;10;0;0;Pospolita woń , jakich wiele na rynku za wysoką cenę .
+1164;0;0;0;mojej
+1164;1;0;0;mojej skórze
+1164;2;-1;-1;okropne
+1164;3;0;0;sa
+1164;4;0;0;na mojej skórze
+1164;5;-1;0;sa okropne ale
+1164;6;0;0;pierwsze
+1164;7;0;0;początku
+1164;8;0;0;)
+1164;9;0;0;:
+1164;10;1;1;rozkwitł na mojej skórze
+1164;11;0;0;pięknie
+1164;12;0;0;zapach
+1164;13;-1;0;pierwsze nuty sa okropne ale
+1164;14;0;0;na początku
+1164;15;0;0;na początku pierwsze nuty sa okropne ale poniej zapach pięknie rozkwitł na mojej skórze : )
+21;0;-1;0;prowokujący
+21;1;0;0;.
+21;2;0;0;prowokujący flirt
+21;3;0;0;powabny
+21;4;0;0;,
+21;5;0;0;Długotrwały
+21;6;0;0;Długotrwały , powabny i prowokujący flirt .
+247;0;0;0;sumie
+247;1;0;0;w sumie
+247;2;0;0;dekoltami-po
+247;3;0;0;wielkimi
+247;4;0;0;wielkimi dekoltami-po to w sumie
+247;5;0;0;z wielkimi dekoltami-po to w sumie
+247;6;0;0;jest
+247;7;0;0;bluzek z wielkimi dekoltami-po to w sumie
+247;8;0;0;.
+247;9;0;0;jest stworzony
+247;10;0;0;do bluzek z wielkimi dekoltami-po to w sumie
+247;11;0;0;Idealnie
+247;12;1;1;Idealnie pasuje do bluzek z wielkimi dekoltami-po to w sumie jest stworzony .
+625;0;0;0;tak
+625;1;1;1;tak dobrą
+625;2;1;1;tak dobrą firmę
+625;3;1;1;na tak dobrą firmę
+625;4;0;0;powalająca
+625;5;0;0;.
+625;6;0;1;powalająca jak na tak dobrą firmę
+625;7;0;0;nie
+625;8;0;0;Cena
+625;9;0;0;Cena nie jest powalająca jak na tak dobrą firmę .
+468;0;0;0;ponoć
+468;1;0;0;-
+468;2;1;1;- ponoć super
+468;3;1;1;dekoldem - ponoć super
+468;4;1;1;z dekoldem - ponoć super
+468;5;1;1;sukienki z dekoldem - ponoć super
+468;6;0;0;właśnie
+468;7;1;0;właśnie do sukienki z dekoldem - ponoć super
+468;8;0;0;go
+468;9;0;0;.
+468;10;1;0;go zakupić właśnie do sukienki z dekoldem - ponoć super
+468;11;0;0;Planuje go zakupić właśnie do sukienki z dekoldem - ponoć super .
+905;0;-1;0;zaniepokojone
+905;1;0;0;chwili
+905;2;0;0;zaniepokojone twarze
+905;3;0;0;uważnie
+905;4;0;0;głowę
+905;5;0;0;Po chwili
+905;6;0;0;.
+905;7;0;1;uważnie lustrował zaniepokojone twarze
+905;8;0;0;Po chwili odsłonił głowę
+905;9;0;0;Po chwili odsłonił głowę i uważnie lustrował zaniepokojone twarze .
+1082;0;1;0;mocna
+1082;1;0;0;Bardzo
+1082;2;0;0;.
+1082;3;0;0;mocna woń
+1082;4;0;0;Bardzo męska
+1082;5;0;0;Bardzo męska , mocna woń .
+1081;0;0;0;CHANEL
+1081;1;0;0;sztandarowych
+1081;2;1;1;nowoczesnym
+1081;3;0;0;No5
+1081;4;0;0;sztandarowych perfum CHANEL
+1081;5;0;0;.
+1081;6;1;1;No5 nowoczesnym zapachem
+1081;7;0;0;od sztandarowych perfum CHANEL
+1081;8;0;0;się
+1081;9;0;0;Różni się od sztandarowych perfum CHANEL No5 nowoczesnym zapachem .
+1075;0;0;0;Klubu
+1075;1;0;0;sympatyków
+1075;2;0;0;kibiców
+1075;3;0;0;kibiców i sympatyków Klubu
+1075;4;0;0;oczekiwaniami kibiców i sympatyków Klubu
+1075;5;0;0;z oczekiwaniami kibiców i sympatyków Klubu
+1075;6;0;0;zgodnego z oczekiwaniami kibiców i sympatyków Klubu
+1075;7;0;0;,
+1075;8;0;0;sportowego
+1075;9;0;0;.
+1075;10;1;1;sportowego sukcesu , zgodnego z oczekiwaniami kibiców i sympatyków Klubu
+1075;11;0;0;również
+1075;12;0;0;Brakuje również sportowego sukcesu , zgodnego z oczekiwaniami kibiców i sympatyków Klubu .
+626;0;1;1;dobrej
+626;1;1;1;dobrej cenie
+626;2;1;1;w dobrej cenie
+626;3;0;0;go
+626;4;0;0;internecie
+626;5;1;1;zakupić go w dobrej cenie
+626;6;0;0;w internecie
+626;7;1;1;w internecie można zakupić go w dobrej cenie
+626;8;0;0;drogi
+626;9;0;0;.
+626;10;0;1;drogi ale w internecie można zakupić go w dobrej cenie
+626;11;0;0;Perfum
+626;12;0;0;Perfum jest drogi ale w internecie można zakupić go w dobrej cenie .
+1166;0;1;1;dobrych
+1166;1;1;1;dobrych materiałów
+1166;2;0;0;.
+1166;3;1;1;z dobrych materiałów
+1166;4;0;0;jest
+1166;5;0;0;Biustonosz
+1166;6;0;1;Biustonosz jest zrobiony z dobrych materiałów .
+752;0;1;1;najlepszych
+752;1;1;1;najlepszych firm
+752;2;1;1;do najlepszych firm
+752;3;0;0;Chanel
+752;4;0;0;że
+752;5;0;0;,
+752;6;0;0;wszystkie
+752;7;0;0;pewnością
+752;8;0;0;.
+752;9;1;1;, że Chanel należy do najlepszych firm
+752;10;0;0;wszystkie kobiety
+752;11;0;0;Z pewnością
+752;12;0;0;Z pewnością wszystkie kobiety wiedzą , że Chanel należy do najlepszych firm .
+429;0;0;0;które
+429;1;1;0;trwałe
+429;2;0;0;dużo
+429;3;0;0;nie
+429;4;1;0;trwałe perfumy które
+429;5;0;0;.
+429;6;1;1;trwałe perfumy które nie kosztują dużo
+429;7;0;0;to
+429;8;0;0;Są to trwałe perfumy które nie kosztują dużo .
+150;0;0;0;bardzo
+150;1;0;0;bardzo często
+150;2;0;0;który
+150;3;0;0;,
+150;4;0;0;to
+150;5;0;0;używam bardzo często
+150;6;1;1;, który uwielbiam
+150;7;0;0;mnie
+150;8;0;0;Pink to
+150;9;1;0;, który uwielbiam i używam bardzo często
+150;10;0;0;dla mnie
+150;11;0;0;of Pink to
+150;12;0;0;.
+150;13;1;1;dla mnie zapach , który uwielbiam i używam bardzo często
+150;14;0;0;Touch of Pink to
+150;15;0;0;Lacoste
+150;16;0;0;toaletowa
+150;17;0;0;Woda toaletowa Lacoste Touch of Pink to dla mnie zapach , który uwielbiam i używam bardzo często .
+554;0;0;0;się
+554;1;0;0;wspaniale
+554;2;0;0;bardzo
+554;3;0;0;ta
+554;4;1;1;wspaniale prezentujący się
+554;5;0;1;bardzo oryginalny
+554;6;0;0;Woda ta
+554;7;0;0;.
+554;8;1;1;wspaniale prezentujący się flakonik
+554;9;0;0;Woda ta ma bardzo oryginalny
+554;10;0;0;Woda ta ma bardzo oryginalny , wspaniale prezentujący się flakonik .
+293;0;0;0;ciała
+293;1;0;0;do ciała
+293;2;0;0;biust
+293;3;1;1;Dobrze
+293;4;0;0;.
+293;5;0;0;przylega do ciała
+293;6;1;1;Dobrze trzyma biust
+293;7;0;0;Dobrze trzyma biust i przylega do ciała .
+1107;0;0;0;nam
+1107;1;0;1;znany nam
+1107;2;0;0;znany nam wszystkim
+1107;3;0;0;.
+1107;4;0;0;zapach znany nam wszystkim
+1107;5;0;0;Oczywiście zapach znany nam wszystkim .
+336;0;0;0;i
+336;1;0;0;"
+336;2;0;0;nad i
+336;3;0;0;kropka nad i "
+336;4;0;0;płynu
+336;5;0;0;różowy
+336;6;0;0;" kropka nad i "
+336;7;0;0;różowy kolor płynu
+336;8;1;1;Śliczna
+336;9;0;0;.
+336;10;0;0;różowy kolor płynu to " kropka nad i "
+336;11;1;1;Śliczna buteleczka
+336;12;0;0;Śliczna buteleczka i różowy kolor płynu to " kropka nad i " .
+432;0;0;0;także
+432;1;0;0;.
+432;2;0;0;także kierowcy
+432;3;0;0;są
+432;4;-1;0;Zdenerwowani są także kierowcy .
+209;0;0;0;pewnej
+209;1;1;0;zdecydowanej
+209;2;0;0;pewnej siebie
+209;3;0;0;pewnej siebie i zdecydowanej
+209;4;0;0;.
+209;5;0;1;kobiety pewnej siebie i zdecydowanej
+209;6;0;0;Raczej
+209;7;0;0;Raczej dla kobiety pewnej siebie i zdecydowanej .
+191;0;0;0;Bossa
+191;1;-1;-1;słabego
+191;2;0;0;Hugo Bossa
+191;3;-1;0;rynku słabego
+191;4;0;0;od Hugo Bossa
+191;5;0;0;brzydkiego
+191;6;-1;0;na rynku słabego
+191;7;0;0;chyba
+191;8;0;0;Nie
+191;9;0;0;.
+191;10;-1;0;brzydkiego zapachu od Hugo Bossa
+191;11;0;0;,
+191;12;0;0;Nie ma chyba na rynku słabego
+191;13;0;0;Nie ma chyba na rynku słabego , lub brzydkiego zapachu od Hugo Bossa .
+866;0;0;0;wyrazisty
+866;1;1;0;słodki
+866;2;0;0;bardzo
+866;3;0;0;bardzo słodki i wyrazisty
+866;4;0;0;,
+866;5;0;0;przecudny
+866;6;0;0;.
+866;7;1;1;przecudny aromat , bardzo słodki i wyrazisty
+866;8;0;0;To przecudny aromat , bardzo słodki i wyrazisty .
+78;0;0;0;samą
+78;1;0;0;samą Donatellę
+78;2;0;0;mody
+78;3;1;1;najlepszych
+78;4;0;0;przez samą Donatellę
+78;5;1;1;najlepszych domów mody
+78;6;0;0;ww
+78;7;0;0;wylansowanie przez samą Donatellę
+78;8;1;1;z najlepszych domów mody
+78;9;0;0;właścicielkę ww
+78;10;0;0;zostały wylansowanie przez samą Donatellę
+78;11;0;0;mianowicie
+78;12;1;1;jednego z najlepszych domów mody
+78;13;0;0;końcu
+78;14;0;0;zostały wylansowanie przez samą Donatellę , właścicielkę ww
+78;15;0;0;mianowicie Versace
+78;16;1;1;z jednego z najlepszych domów mody
+78;17;0;0;w końcu
+78;18;0;0;Bo
+78;19;0;0;.
+78;20;0;0;mianowicie Versace i zostały wylansowanie przez samą Donatellę , właścicielkę ww
+78;21;0;0;,
+78;22;1;0;Bo w końcu pochodzą z jednego z najlepszych domów mody
+78;23;0;0;Bo w końcu pochodzą z jednego z najlepszych domów mody , a mianowicie Versace i zostały wylansowanie przez samą Donatellę , właścicielkę ww .
+806;0;0;0;dosyć
+806;1;0;-1;dosyć wysoka
+806;2;0;0;cena
+806;3;0;0;iż
+806;4;0;0;,
+806;5;0;0;jedynym
+806;6;0;0;Jednym
+806;7;0;0;.
+806;8;-1;0;, iż cena jest dosyć wysoka
+806;9;0;0;to
+806;10;-1;-1;Jednym jedynym mankamentem
+806;11;0;0;Jednym jedynym mankamentem jest to , iż cena jest dosyć wysoka .
+952;0;0;0;elegancji
+952;1;0;0;stylu
+952;2;0;0;.
+952;3;1;0;stylu i elegancji
+952;4;1;0;Połączenie stylu i elegancji .
+173;0;1;0;eleganckich
+173;1;0;0;eleganckich metropolii
+173;2;1;1;luksusu eleganckich metropolii
+173;3;0;0;się
+173;4;0;0;miast
+173;5;0;0;się
+173;6;0;0;.
+173;7;0;0;boję się luksusu eleganckich metropolii
+173;8;0;0;Boję się miast
+173;9;0;0;Boję się miast , boję się luksusu eleganckich metropolii .
+945;0;0;0;stanika
+945;1;0;0;.
+945;2;0;0;do stanika
+945;3;1;0;adekwatna
+945;4;0;0;Cena adekwatna do stanika .
+983;0;0;0;końcu
+983;1;0;0;toaletowej
+983;2;0;0;tej
+983;3;0;0;w końcu
+983;4;0;0;tej wody toaletowej
+983;5;-1;-1;zaszokowani
+983;6;0;0;Chanel
+983;7;-1;0;zaszokowani ceną tej wody toaletowej w końcu
+983;8;0;0;.
+983;9;0;0;od Chanel
+983;10;-1;0;zaszokowani ceną tej wody toaletowej w końcu pochodzi
+983;11;0;0;Nie
+983;12;0;0;Nie bądźmy zaszokowani ceną tej wody toaletowej w końcu pochodzi od Chanel .
+223;0;0;0;górnej
+223;1;0;1;górnej części
+223;2;0;0;w górnej części
+223;3;1;0;prześliczną
+223;4;0;0;.
+223;5;1;0;prześliczną koronkę w górnej części
+223;6;0;0;Ma prześliczną koronkę w górnej części .
+185;0;0;0;mężczyzn
+185;1;0;0;.
+185;2;0;0;na mężczyzn
+185;3;0;0;Zdecydowanie
+185;4;1;0;Zdecydowanie działa na mężczyzn .
+606;0;0;0;wieczorowe
+606;1;0;0;kreacje wieczorowe
+606;2;0;0;bardzo
+606;3;0;0;.
+606;4;0;0;pod kreacje wieczorowe
+606;5;1;0;bardzo serdecznie
+606;6;1;1;Polecam bardzo serdecznie pod kreacje wieczorowe .
+249;0;0;0;róży
+249;1;0;0;fiołka
+249;2;0;0;fiołka i róży
+249;3;0;0;kwiatowym
+249;4;0;0;bergamotki
+249;5;0;0;papai
+249;6;0;0;,
+249;7;0;0;ananasa
+249;8;0;0;kwiatowym akcentem fiołka i róży
+249;9;0;0;ananasa , papai i bergamotki
+249;10;1;0;Słodkie
+249;11;0;0;.
+249;12;0;0;z kwiatowym akcentem fiołka i róży
+249;13;0;0;się
+249;14;0;0;Słodkie aromaty ananasa , papai i bergamotki
+249;15;0;0;Słodkie aromaty ananasa , papai i bergamotki łączą się z kwiatowym akcentem fiołka i róży .
+344;0;0;0;to
+344;1;0;0;,
+344;2;0;0;na to
+344;3;0;0;który
+344;4;0;0;,
+344;5;0;0;go
+344;6;0;0;, który zasługuje na to ,
+344;7;0;0;wysokogatunkowy
+344;8;0;0;go mieć
+344;9;1;0;produkt wysokogatunkowy , który zasługuje na to ,
+344;10;1;0;produkt wysokogatunkowy , który zasługuje na to , by go mieć
+344;11;0;0;mnie
+344;12;0;0;nie
+344;13;1;0;dla mnie produkt wysokogatunkowy , który zasługuje na to , by go mieć
+344;14;0;0;,
+344;15;0;1;nie odziera
+344;16;0;0;,
+344;17;0;0;.
+344;18;1;0;, nie odziera , jak dla mnie produkt wysokogatunkowy , który zasługuje na to , by go mieć
+344;19;0;0;Nie
+344;20;0;0;Nie uwiera , nie odziera , jak dla mnie produkt wysokogatunkowy , który zasługuje na to , by go mieć .
+1078;0;1;1;prawdziwego
+1078;1;0;0;!
+1078;2;1;0;prawdziwego faceta
+1078;3;0;0;Dla prawdziwego faceta !
+196;0;1;0;cudo
+196;1;0;0;to
+196;2;0;0;ten
+196;3;0;0;!
+196;4;0;0;!
+196;5;1;0;ten zapach to cudo
+196;6;0;0;ojjjjjj ten zapach to cudo ! !
+718;0;1;1;ciekawy
+718;1;0;0;biust
+718;2;1;0;biust , ciekawy
+718;3;1;1;biust , ciekawy fason
+718;4;0;0;Idealnie
+718;5;0;0;.
+718;6;1;1;kształtuje biust , ciekawy fason
+718;7;1;1;Idealnie podtrzymuje
+718;8;0;1;Idealnie podtrzymuje i kształtuje biust , ciekawy fason .
+275;0;1;1;markowy
+275;1;0;0;ten
+275;2;0;0;ten markowy produkt
+275;3;0;0;za ten markowy produkt
+275;4;0;0;.
+275;5;0;0;wygórowana
+275;6;0;0;wcale
+275;7;0;0;nie
+275;8;0;-1;Cena za ten markowy produkt
+275;9;0;0;Cena za ten markowy produkt nie jest wcale wygórowana .
+523;0;0;0;flakonika
+523;1;0;0;.
+523;2;0;0;wzrok
+523;3;0;0;flakonika przyciąga
+523;4;1;1;Atrakcyjny
+523;5;0;0;Atrakcyjny wygląda flakonika przyciąga wzrok .
+1147;0;0;0;skórą
+1147;1;0;0;ze skórą
+1147;2;0;0;się
+1147;3;0;0;idealnie
+1147;4;0;1;rewelacyjnie
+1147;5;1;1;świetnym
+1147;6;1;0;idealnie komponuje się ze skórą
+1147;7;1;1;rewelacyjnie pachnie
+1147;8;1;1;świetnym wynalazkiem
+1147;9;0;0;Woda
+1147;10;0;0;.
+1147;11;1;1;rewelacyjnie pachnie , idealnie komponuje się ze skórą
+1147;12;1;0;Woda jest świetnym wynalazkiem
+1147;13;0;0;Woda jest świetnym wynalazkiem , rewelacyjnie pachnie , idealnie komponuje się ze skórą .
+359;0;0;0;dresach
+359;1;0;0;w dresach
+359;2;-1;0;chłystków w dresach
+359;3;0;0;zapach
+359;4;1;0;dostojny
+359;5;-1;0;dla chłystków w dresach
+359;6;1;0;rację-to dostojny zapach
+359;7;0;0;I
+359;8;0;0;)
+359;9;0;0;.
+359;10;0;0;nie dla chłystków w dresach
+359;11;1;0;) I macie rację-to dostojny zapach
+359;12;0;0;:
+359;13;0;0;: ) I macie rację-to dostojny zapach , nie dla chłystków w dresach .
+893;0;0;0;zapach
+893;1;0;0;ciele zapach
+893;2;0;0;ubraniach
+893;3;0;0;ubraniach i ciele zapach
+893;4;0;0;na ubraniach i ciele zapach
+893;5;0;0;się
+893;6;0;0;długo
+893;7;0;0;długo utrzymujący się na ubraniach i ciele zapach
+893;8;1;1;ładny
+893;9;0;0;.
+893;10;1;1;ładny i długo utrzymujący się na ubraniach i ciele zapach
+893;11;0;0;Ma ładny i długo utrzymujący się na ubraniach i ciele zapach .
+190;0;0;0;sobie
+190;1;0;0;w sobie
+190;2;0;0;uwagę
+190;3;0;0;co
+190;4;0;0;coś
+190;5;0;0;ma w sobie
+190;6;1;0;Klasyczny
+190;7;0;0;.
+190;8;1;0;ma w sobie coś co przykuwa uwagę
+190;9;0;0;jednak
+190;10;0;0;,
+190;11;0;0;Klasyczny stanik
+190;12;0;0;Klasyczny stanik , a jednak ma w sobie coś co przykuwa uwagę .
+16;0;0;0;antyfanów
+16;1;0;0;fanów
+16;2;0;0;fanów i antyfanów
+16;3;0;0;będzie
+16;4;0;0;zawsze
+16;5;0;0;który
+16;6;0;0;,
+16;7;0;0;, który zawsze będzie miał fanów i antyfanów
+16;8;1;0;ponadczasowy
+16;9;0;0;.
+16;10;0;0;ponadczasowy klasyk , który zawsze będzie miał fanów i antyfanów
+16;11;0;0;To ponadczasowy klasyk , który zawsze będzie miał fanów i antyfanów .
+483;0;0;0;jak
+483;1;0;0;codzień jak
+483;2;0;0;wieczór
+483;3;0;0;na codzień jak
+483;4;0;0;.
+483;5;0;0;na wieczór
+483;6;1;1;Idealne na codzień jak
+483;7;0;0;Idealne na codzień jak i na wieczór .
+543;0;0;0;wieńcowych
+543;1;0;0;naczyń wieńcowych
+543;2;0;0;serca
+543;3;0;0;Aires
+543;4;0;0;serca i naczyń wieńcowych
+543;5;0;0;Buenos Aires
+543;6;0;0;zaburzenia serca i naczyń wieńcowych
+543;7;0;0;krwi
+543;8;0;0;w Buenos Aires
+543;9;0;0;na zaburzenia serca i naczyń wieńcowych
+543;10;0;0;we krwi
+543;11;0;0;się
+543;12;0;0;Uniwersytetu w Buenos Aires
+543;13;-1;0;odporność na zaburzenia serca i naczyń wieńcowych
+543;14;0;0;,
+543;15;0;0;znajdujące się we krwi
+543;16;0;0;tam
+543;17;0;0;z Uniwersytetu w Buenos Aires
+543;18;0;0;Fraga
+543;19;1;0;, zwiększając odporność na zaburzenia serca i naczyń wieńcowych
+543;20;0;0;antyutleniacze znajdujące się we krwi
+543;21;0;0;czekolada
+543;22;0;0;że
+543;23;0;0;,
+543;24;0;0;przeprowadzone tam
+543;25;0;0;,
+543;26;0;0;Cesar Fraga z Uniwersytetu w Buenos Aires
+543;27;0;0;Jak
+543;28;0;0;.
+543;29;0;0;, że czekolada wzmacnia antyutleniacze znajdujące się we krwi , zwiększając odporność na zaburzenia serca i naczyń wieńcowych
+543;30;0;0;przeprowadzone tam badania
+543;31;0;0;Jak poinformował Cesar Fraga z Uniwersytetu w Buenos Aires ,
+543;32;0;0;Jak poinformował Cesar Fraga z Uniwersytetu w Buenos Aires , przeprowadzone tam badania wykazały , że czekolada wzmacnia antyutleniacze znajdujące się we krwi , zwiększając odporność na zaburzenia serca i naczyń wieńcowych .
+452;0;0;0;tej
+452;1;0;0;tej linii
+452;2;1;0;wcześniejszych
+452;3;0;0;wcześniejszych zapachów tej linii
+452;4;0;1;miłośników wcześniejszych zapachów tej linii
+452;5;0;0;.
+452;6;0;0;dla miłośników wcześniejszych zapachów tej linii
+452;7;0;0;pewno
+452;8;0;0;Na pewno dla miłośników wcześniejszych zapachów tej linii .
+787;0;1;0;oryginalny
+787;1;0;0;.
+787;2;0;0;oryginalny fason
+787;3;0;0;Ma oryginalny fason .
+23;0;0;0;sylwetce
+23;1;0;0;na sylwetce
+23;2;0;0;się
+23;3;0;0;seksownie
+23;4;0;0;niezwykle
+23;5;0;0;biust
+23;6;1;1;Dobrze
+23;7;0;0;.
+23;8;1;0;niezwykle seksownie się prezentuje na sylwetce
+23;9;1;1;Dobrze podtrzymuje biust
+23;10;0;0;Dobrze podtrzymuje biust i niezwykle seksownie się prezentuje na sylwetce .
+512;0;0;0;długi
+512;1;0;0;długi czas
+512;2;0;0;przez długi czas
+512;3;0;0;będzie
+512;4;1;1;będzie służył przez długi czas
+512;5;0;0;praniu
+512;6;1;0;praniu i będzie służył przez długi czas
+512;7;0;0;.
+512;8;1;0;po praniu i będzie służył przez długi czas
+512;9;0;0;się
+512;10;0;0;Nie
+512;11;0;0;Nie rozciąga się po praniu i będzie służył przez długi czas .
+279;0;0;0;XXI
+279;1;0;0;XXI wieku
+279;2;0;0;ludzi XXI wieku
+279;3;0;0;katolicyzmu
+279;4;0;0;dla ludzi XXI wieku
+279;5;1;1;atrakcyjnej
+279;6;0;0;konkurencji katolicyzmu
+279;7;0;0;się
+279;8;0;0;atrakcyjnej oferty dla ludzi XXI wieku
+279;9;0;0;Nie
+279;10;0;0;.
+279;11;0;0;boją się konkurencji katolicyzmu
+279;12;0;0;,
+279;13;0;0;oni
+279;14;0;0;Nie mają atrakcyjnej oferty dla ludzi XXI wieku
+279;15;0;0;Nie mają oni atrakcyjnej oferty dla ludzi XXI wieku , więc boją się konkurencji katolicyzmu .
+440;0;0;0;Lourdes
+440;1;0;0;w Lourdes
+440;2;0;0;ten
+440;3;1;1;cudownego
+440;4;1;0;cudach w Lourdes
+440;5;0;0;ten temat
+440;6;0;0;,
+440;7;0;0;cudownego uzdrowienia
+440;8;0;0;ktoś
+440;9;0;0;kiedy
+440;10;0;0;o cudach w Lourdes
+440;11;0;0;się
+440;12;0;0;Kiedy
+440;13;0;0;na ten temat
+440;14;0;0;się
+440;15;0;0;aby
+440;16;0;0;,
+440;17;0;0;kiedy ktoś dostąpił cudownego uzdrowienia ,
+440;18;0;0;Kiedy mówi się o cudach w Lourdes
+440;19;1;0;.
+440;20;0;0;, aby wypowiedzieli się na ten temat
+440;21;0;0;lekarzy
+440;22;0;0;Kościół
+440;23;0;0;Kiedy mówi się o cudach w Lourdes , kiedy ktoś dostąpił cudownego uzdrowienia ,
+440;24;0;0;Kiedy mówi się o cudach w Lourdes , kiedy ktoś dostąpił cudownego uzdrowienia , Kościół prosi lekarzy , aby wypowiedzieli się na ten temat .
+1165;0;1;1;efektowny
+1165;1;1;1;efektowny kształt
+1165;2;0;0;prosty
+1165;3;0;0;.
+1165;4;1;1;prosty i efektowny kształt
+1165;5;0;0;Flakon
+1165;6;0;0;Flakon ma prosty i efektowny kształt .
+1008;0;1;1;wysoka
+1008;1;0;0;stosunkowo
+1008;2;0;0;ten
+1008;3;0;0;znajomy
+1008;4;0;0;stosunkowo wysoka ale
+1008;5;0;0;.
+1008;6;0;0;ten zapach
+1008;7;0;0;sobie
+1008;8;0;0;bardzo
+1008;9;0;0;Cena stosunkowo wysoka ale znajomy
+1008;10;0;1;Cena stosunkowo wysoka ale znajomy bardzo zachwala sobie ten zapach .
+1129;0;0;0;każdej
+1129;1;0;0;każdej figury
+1129;2;0;0;do każdej figury
+1129;3;0;0;jest
+1129;4;0;0;się
+1129;5;0;0;Doskonale
+1129;6;0;0;.
+1129;7;0;0;jest dopasowany do każdej figury
+1129;8;1;1;Doskonale się układa
+1129;9;0;0;Doskonale się układa i jest dopasowany do każdej figury .
+1026;0;0;0;jego
+1026;1;0;0;wszystkich jego
+1026;2;0;0;urzędzie
+1026;3;0;1;niesamowite
+1026;4;0;0;wszystkich jego uczestnikach
+1026;5;0;0;w urzędzie
+1026;6;0;0;.
+1026;7;0;1;niesamowite wrażenie
+1026;8;0;0;na wszystkich jego uczestnikach
+1026;9;0;0;Spotkanie w urzędzie
+1026;10;0;0;Spotkanie w urzędzie wywarło na wszystkich jego uczestnikach niesamowite wrażenie .
+1033;0;0;0;blaszane
+1033;1;0;0;blaszane koszyczki
+1033;2;0;0;kwiaty
+1033;3;0;0;w blaszane koszyczki
+1033;4;0;0;w kwiaty
+1033;5;0;0;,
+1033;6;0;0;oprawionych w blaszane koszyczki
+1033;7;0;0;,
+1033;8;0;0;rżniętych w kwiaty
+1033;9;0;0;rżniętych w kwiaty szklanek , oprawionych w blaszane koszyczki ,
+1033;10;1;0;uroku
+1033;11;0;0;kawowej
+1033;12;0;0;podniebnej
+1033;13;0;0;z rżniętych w kwiaty szklanek , oprawionych w blaszane koszyczki ,
+1033;14;0;0;aromatyczny
+1033;15;0;0;mocny
+1033;16;0;0;wiele uroku
+1033;17;0;0;podniebnej kawowej ceremonii
+1033;18;0;0;picie z rżniętych w kwiaty szklanek , oprawionych w blaszane koszyczki ,
+1033;19;0;0;mocny i aromatyczny
+1033;20;0;0;Napój
+1033;21;-1;0;.
+1033;22;0;0;picie z rżniętych w kwiaty szklanek , oprawionych w blaszane koszyczki , odbierało podniebnej kawowej ceremonii wiele uroku
+1033;23;0;0;,
+1033;24;0;0;Napój był mocny i aromatyczny
+1033;25;0;0;Napój był mocny i aromatyczny , ale picie z rżniętych w kwiaty szklanek , oprawionych w blaszane koszyczki , odbierało podniebnej kawowej ceremonii wiele uroku .
+725;0;1;1;wspaniałego
+725;1;0;0;owego
+725;2;0;0;domu
+725;3;0;0;owego wspaniałego dnia
+725;4;0;0;w domu
+725;5;0;0;ich
+725;6;0;0;by
+725;7;0;0;,
+725;8;0;0;koniec owego wspaniałego dnia
+725;9;0;0;.
+725;10;0;0;, by odwiedził ich w domu
+725;11;0;0;go
+725;12;0;0;Na koniec owego wspaniałego dnia
+725;13;0;0;Na koniec owego wspaniałego dnia zaprosili go , by odwiedził ich w domu .
+64;0;1;1;szerokim
+64;1;0;0;szerokim dekolcie
+64;2;0;0;przy szerokim dekolcie
+64;3;0;0;ich przy szerokim dekolcie
+64;4;0;0;nie
+64;5;0;0;(
+64;6;0;0;( nie widać ich przy szerokim dekolcie
+64;7;0;0;szeroko
+64;8;0;0;dość
+64;9;0;0;są
+64;10;0;0;Ramiączka
+64;11;0;0;dość szeroko rozstawione ( nie widać ich przy szerokim dekolcie
+64;12;0;0;Ramiączka są odpinane
+64;13;0;0;.
+64;14;0;0;Ramiączka są odpinane i dość szeroko rozstawione ( nie widać ich przy szerokim dekolcie
+64;15;0;0;Ramiączka są odpinane i dość szeroko rozstawione ( nie widać ich przy szerokim dekolcie ) .
+1102;0;0;0;perfum
+1102;1;0;0;jakość perfum
+1102;2;1;0;ceniących jakość perfum
+1102;3;0;0;.
+1102;4;1;0;Kobiet ceniących jakość perfum
+1102;5;0;0;Dla Kobiet ceniących jakość perfum .
+1113;0;0;0;głęboko
+1113;1;0;0;głęboko wyciętej
+1113;2;0;0;głęboko wyciętej sukienki
+1113;3;0;0;.
+1113;4;0;0;do głęboko wyciętej sukienki
+1113;5;0;0;dokładniej do głęboko wyciętej sukienki .
+1113;6;0;0;A dokładniej do głęboko wyciętej sukienki .
+45;0;0;0;2005
+45;1;0;0;2005 roku
+45;2;0;0;w 2005 roku
+45;3;0;0;Lacoste
+45;4;0;0;Bardzo
+45;5;0;0;.
+45;6;0;1;wydane w 2005 roku
+45;7;0;0;marki Lacoste
+45;8;1;1;Bardzo ładne
+45;9;0;0;Bardzo ładne perfumy marki Lacoste wydane w 2005 roku .
+41;0;0;0;20
+41;1;0;0;od 20
+41;2;0;0;mężczyzn od 20
+41;3;0;0;dla mężczyzn od 20
+41;4;0;0;prezent dla mężczyzn od 20
+41;5;0;0;na prezent dla mężczyzn od 20
+41;6;0;0;szczególnie
+41;7;0;0;więcej
+41;8;0;1;Polecam szczególnie na prezent dla mężczyzn od 20
+41;9;0;0;)
+41;10;0;0;Polecam szczególnie na prezent dla mężczyzn od 20 i więcej
+41;11;0;0;Polecam szczególnie na prezent dla mężczyzn od 20 i więcej : )
+326;0;0;0;nie
+326;1;0;0;zapach
+326;2;1;1;Dobra
+326;3;0;0;.
+326;4;-1;1;zapach nie zachwyca
+326;5;0;0;,
+326;6;1;0;Dobra marka
+326;7;0;0;Dobra marka , aczkolwiek zapach nie zachwyca .
+884;0;0;0;pieniędzy
+884;1;0;0;powietrze
+884;2;0;0;wydania pieniędzy
+884;3;0;0;w powietrze
+884;4;0;0;do wydania pieniędzy
+884;5;0;0;ją
+884;6;0;0;kasjerkę
+884;7;0;1;strzałami w powietrze
+884;8;0;0;Później
+884;9;0;0;.
+884;10;-1;1;zmusił ją do wydania pieniędzy
+884;11;0;0;Później strzałami w powietrze sterroryzował kasjerkę
+884;12;0;0;Później strzałami w powietrze sterroryzował kasjerkę i zmusił ją do wydania pieniędzy .
+1170;0;1;1;wysoka
+1170;1;0;0;.
+1170;2;-1;-1;wysoka cena
+1170;3;0;0;niezbyt
+1170;4;0;0;Plusem
+1170;5;0;0;Plusem jest niezbyt wysoka cena .
+319;0;0;0;swych
+319;1;0;0;swych poprzedników
+319;2;0;0;wzorach swych poprzedników
+319;3;1;0;najgenialniejsi
+319;4;0;0;i
+319;5;0;0;?
+319;6;0;0;na wzorach swych poprzedników
+319;7;0;0;się
+319;8;0;0;nie
+319;9;0;0;i najgenialniejsi ludzie
+319;10;0;0;Czyż
+319;11;0;0;Czyż i najgenialniejsi ludzie nie kształcili się na wzorach swych poprzedników ?
+53;0;0;0;cały
+53;1;0;0;cały dzień
+53;2;0;0;kropli
+53;3;0;0;.
+53;4;0;0;na cały dzień
+53;5;0;0;Kilka kropli
+53;6;1;0;Kilka kropli wystarcza na cały dzień .
+928;0;0;0;już
+928;1;0;0;już 3
+928;2;0;0;już 3 raz
+928;3;0;0;tą
+928;4;0;0;tą wodę już 3 raz
+928;5;0;0;Lacoste
+928;6;0;0;"
+928;7;0;0;toaletowej
+928;8;0;0;" Lacoste Essential"Mam tą wodę już 3 raz
+928;9;0;0;wody toaletowej
+928;10;0;0;bardzo
+928;11;0;0;niej
+928;12;0;0;kupna wody toaletowej " Lacoste Essential"Mam tą wodę już 3 raz
+928;13;1;1;bardzo zadowolony
+928;14;0;0;z niej
+928;15;0;0;do kupna wody toaletowej " Lacoste Essential"Mam tą wodę już 3 raz
+928;16;0;0;.
+928;17;1;0;jestem z niej bardzo zadowolony
+928;18;1;0;Zachęcam do kupna wody toaletowej " Lacoste Essential"Mam tą wodę już 3 raz
+928;19;0;0;Zachęcam do kupna wody toaletowej " Lacoste Essential"Mam tą wodę już 3 raz i jestem z niej bardzo zadowolony .
+755;0;1;0;aktywnej
+755;1;0;0;kobiety aktywnej
+755;2;0;0;.
+755;3;0;0;dla kobiety aktywnej
+755;4;0;0;pewno
+755;5;0;0;Na pewno dla kobiety aktywnej .
+1167;0;0;0;ramiona
+1167;1;0;0;,
+1167;2;1;1;odpowiednia
+1167;3;0;0;w ramiona
+1167;4;0;0;się
+1167;5;0;0;nie
+1167;6;0;0;odpowiednia grubość ,
+1167;7;0;0;.
+1167;8;0;0;odpowiednia grubość , nie wrzynają się w ramiona
+1167;9;0;0;Ramiączka
+1167;10;0;0;Ramiączka mają odpowiednia grubość , nie wrzynają się w ramiona .
+539;0;1;0;podniesione
+539;1;0;0;większe
+539;2;0;0;większe i podniesione
+539;3;0;0;nim
+539;4;0;0;.
+539;5;0;0;na większe i podniesione
+539;6;0;0;w nim
+539;7;0;0;Piersi
+539;8;0;0;Piersi wyglądają w nim na większe i podniesione .
+622;0;0;0;torebce
+622;1;0;0;sobie
+622;2;0;0;,
+622;3;0;0;w torebce
+622;4;0;0;się
+622;5;0;0;spokojnie
+622;6;0;0;która
+622;7;0;0;,
+622;8;1;0;poręcznej
+622;9;0;0;małej
+622;10;0;0;przy sobie
+622;11;0;0;ją
+622;12;0;0;, która spokojnie zmieści się w torebce ,
+622;13;1;0;małej , poręcznej
+622;14;0;0;ją mieć przy sobie
+622;15;1;0;małej , poręcznej buteleczce , która spokojnie zmieści się w torebce ,
+622;16;0;0;.
+622;17;0;0;można ją mieć przy sobie
+622;18;0;0;zawsze
+622;19;0;0;więc
+622;20;1;0;w małej , poręcznej buteleczce , która spokojnie zmieści się w torebce ,
+622;21;0;0;się
+622;22;0;0;Mieści się w małej , poręcznej buteleczce , która spokojnie zmieści się w torebce , więc zawsze można ją mieć przy sobie .
+180;0;0;1;seksowny
+180;1;0;0;taki
+180;2;0;0;nawet
+180;3;0;0;taki seksowny biustonosz
+180;4;1;1;nawet atrakcyjna
+180;5;0;0;.
+180;6;0;-1;za taki seksowny biustonosz
+180;7;1;1;Cena nawet atrakcyjna
+180;8;0;0;Cena nawet atrakcyjna jak za taki seksowny biustonosz .
+818;0;0;0;allegro
+818;1;0;0;przykrością
+818;2;0;0;na allegro
+818;3;0;0;ten
+818;4;0;0;moich
+818;5;0;0;stwierdzić
+818;6;-1;0;z przykrością
+818;7;0;0;ten stanik na allegro
+818;8;0;0;m
+818;9;0;0;Niedawno
+818;10;0;0;moich oczekiwań
+818;11;0;0;nie
+818;12;-1;0;z przykrością muszę stwierdzić
+818;13;0;0;Niedawno zakupiła m ten stanik na allegro
+818;14;0;0;.
+818;15;-1;1;nie spełnił moich oczekiwań
+818;16;0;0;,
+818;17;-1;0;Niedawno zakupiła m ten stanik na allegro i z przykrością muszę stwierdzić
+818;18;0;0;Niedawno zakupiła m ten stanik na allegro i z przykrością muszę stwierdzić , że nie spełnił moich oczekiwań .
+390;0;1;0;swobodnych
+390;1;1;0;swobodnych rzeczach
+390;2;1;0;o swobodnych rzeczach
+390;3;0;0;spokojnie
+390;4;1;0;myśleć o swobodnych rzeczach
+390;5;1;0;spokojnie usiąść
+390;6;0;0;.
+390;7;1;0;spokojnie usiąść lub myśleć o swobodnych rzeczach
+390;8;0;0;Wtedy
+390;9;0;0;Wtedy mogę spokojnie usiąść lub myśleć o swobodnych rzeczach .
+494;0;1;1;wygodnym
+494;1;1;1;wygodnym strojem
+494;2;0;0;sportowym
+494;3;0;0;sportowym lub wygodnym strojem
+494;4;0;0;pod sportowym lub wygodnym strojem
+494;5;0;0;Twój
+494;6;0;0;.
+494;7;0;0;Twój seksapil pod sportowym lub wygodnym strojem
+494;8;0;0;Cudownie
+494;9;0;0;Cudownie podkreśla Twój seksapil pod sportowym lub wygodnym strojem .
+499;0;0;0;tego
+499;1;0;0;bardzo
+499;2;0;0;ten
+499;3;0;0;do tego
+499;4;1;1;bardzo wygodny
+499;5;0;0;Produkt ten
+499;6;0;0;.
+499;7;1;1;do tego trwały
+499;8;1;0;Produkt ten jest bardzo wygodny
+499;9;0;0;Produkt ten jest bardzo wygodny a do tego trwały .
+337;0;0;0;gustownie
+337;1;1;1;gustownie uszyty
+337;2;1;1;gustownie uszyty stanik
+337;3;1;1;elegancki
+337;4;0;0;.
+337;5;1;1;elegancki i gustownie uszyty stanik
+337;6;0;0;Bardzo elegancki i gustownie uszyty stanik .
+402;0;0;0;użytkowników
+402;1;0;0;jego
+402;2;0;0;dla użytkowników
+402;3;0;0;bardziej
+402;4;0;0;Frontery
+402;5;0;0;jego możliwości
+402;6;0;0;jednocześnie
+402;7;0;0;nie
+402;8;0;0;,
+402;9;1;1;bardziej przyjaznym dla użytkowników
+402;10;0;0;go
+402;11;0;0;Opla Frontery
+402;12;0;0;.
+402;13;0;0;, nie zmniejszając jednocześnie jego możliwości
+402;14;0;0;uczynić go bardziej przyjaznym dla użytkowników
+402;15;0;0;Modernizacja Opla Frontery
+402;16;0;0;Modernizacja Opla Frontery miała uczynić go bardziej przyjaznym dla użytkowników , nie zmniejszając jednocześnie jego możliwości .
+913;0;0;0;tej
+913;1;0;0;tej ceny
+913;2;0;0;.
+913;3;1;0;wart tej ceny
+913;4;0;0;Biustonosz
+913;5;0;0;Biustonosz jest wart tej ceny .
+910;0;0;0;Dorucha
+910;1;0;0;Pawła Dorucha
+910;2;0;0;.
+910;3;0;0;ks . Pawła Dorucha
+910;4;1;0;przyjaciół
+910;5;-1;-1;bólu
+910;6;0;0;przez ks . Pawła Dorucha
+910;7;0;0;kwiatów
+910;8;0;0;wspomnieniami przyjaciół
+910;9;0;0;wyrazami bólu
+910;10;0;0;prowadzonej przez ks . Pawła Dorucha
+910;11;0;0;mogiłę
+910;12;0;0;wiązanki kwiatów
+910;13;0;0;wyrazami bólu i wspomnieniami przyjaciół
+910;14;0;0;modlitwy prowadzonej przez ks . Pawła Dorucha
+910;15;0;0;,
+910;16;0;0;wiązanki kwiatów przykryły mogiłę
+910;17;0;0;.
+910;18;0;0;z wyrazami bólu i wspomnieniami przyjaciół
+910;19;0;0;się
+910;20;0;0;słowa modlitwy prowadzonej przez ks . Pawła Dorucha
+910;21;0;0;Zanim wiązanki kwiatów przykryły mogiłę ,
+910;22;0;0;Zanim wiązanki kwiatów przykryły mogiłę , słowa modlitwy prowadzonej przez ks . Pawła Dorucha splatały się z wyrazami bólu i wspomnieniami przyjaciół .
+687;0;0;0;WYRAFINOWANEGO
+687;1;0;0;KAŻDEGO
+687;2;1;0;KAŻDEGO WYRAFINOWANEGO PANA
+687;3;0;0;.
+687;4;1;0;DLA KAŻDEGO WYRAFINOWANEGO PANA
+687;5;1;0;POLECAM DLA KAŻDEGO WYRAFINOWANEGO PANA .
+12;0;0;0;ciele
+12;1;0;0;nie
+12;2;0;0;na ciele
+12;3;0;0;się
+12;4;0;0;się
+12;5;0;0;długo
+12;6;0;0;Zapach
+12;7;0;0;.
+12;8;0;0;nie słabnie
+12;9;0;0;Zapach długo się utrzymuje się na ciele
+12;10;0;0;Zapach długo się utrzymuje się na ciele i nie słabnie .
+1027;0;0;0;bardzo
+1027;1;0;0;bardzo
+1027;2;0;0;Carmen
+1027;3;1;1;bardzo wygodny
+1027;4;1;0;bardzo ładnie
+1027;5;0;0;Biustonosz Carmen
+1027;6;0;0;.
+1027;7;1;1;jest bardzo wygodny
+1027;8;1;0;Biustonosz Carmen bardzo ładnie leży
+1027;9;0;0;Biustonosz Carmen bardzo ładnie leży i jest bardzo wygodny .
+663;0;0;0;ciała
+663;1;0;0;do ciała
+663;2;0;0;się
+663;3;1;1;Dobrze
+663;4;0;0;.
+663;5;0;0;przylega do ciała
+663;6;1;1;Dobrze się układa
+663;7;0;0;Dobrze się układa , przylega do ciała .
+29;0;0;0;piersiami
+29;1;0;0;między piersiami
+29;2;0;0;odstępy
+29;3;0;0;biust
+29;4;0;0;.
+29;5;0;0;zmniejsza odstępy między piersiami
+29;6;0;0;Podkreśla biust
+29;7;0;0;Podkreśla biust i zmniejsza odstępy między piersiami .
+829;0;1;1;dojrzałej
+829;1;0;0;starszej
+829;2;0;0;starszej , dojrzałej
+829;3;0;0;osoby starszej , dojrzałej
+829;4;0;0;dla osoby starszej , dojrzałej
+829;5;0;0;się
+829;6;0;0;najbardziej
+829;7;0;0;.
+829;8;0;0;najbardziej nadaje się dla osoby starszej , dojrzałej
+829;9;0;0;że
+829;10;0;0;,
+829;11;0;0;Uważam
+829;12;0;0;Uważam , że jak najbardziej nadaje się dla osoby starszej , dojrzałej .
+1045;0;0;0;kwiatowy
+1045;1;0;0;Bardzo
+1045;2;0;0;.
+1045;3;0;0;kwiatowy zapach
+1045;4;0;0;Bardzo oryginalny
+1045;5;0;0;Bardzo oryginalny , kwiatowy zapach .
+386;0;1;1;młodych
+386;1;0;0;młodych chłopców
+386;2;0;0;.
+386;3;0;0;dla młodych chłopców
+386;4;0;0;nie dla młodych chłopców .
+386;5;0;0;Raczej nie dla młodych chłopców .
+430;0;0;0;prace
+430;1;0;0;jakiejś
+430;2;0;0;o prace
+430;3;0;0;rozmowach
+430;4;0;0;jakiejś firmy
+430;5;0;0;np rozmowach o prace
+430;6;0;0;szefa jakiejś firmy
+430;7;0;0;na np rozmowach o prace
+430;8;0;0;się
+430;9;0;0;Szczególnie
+430;10;0;0;.
+430;11;0;0;dla szefa jakiejś firmy
+430;12;0;0;Szczególnie przyda się na np rozmowach o prace
+430;13;0;0;Szczególnie przyda się na np rozmowach o prace czy dla szefa jakiejś firmy .
+505;0;0;0;materiału
+505;1;0;0;ciała materiału
+505;2;0;0;dla ciała materiału
+505;3;0;0;bardzo
+505;4;1;1;bardzo miłego dla ciała materiału
+505;5;1;0;z bardzo miłego dla ciała materiału
+505;6;0;0;.
+505;7;1;1;wykonany z bardzo miłego dla ciała materiału
+505;8;0;0;Jest wykonany z bardzo miłego dla ciała materiału .
+791;0;0;0;świecie
+791;1;0;0;chyba
+791;2;0;0;na świecie
+791;3;0;0;perfum-ów
+791;4;0;0;chyba najbardziej
+791;5;0;0;marka perfum-ów na świecie
+791;6;0;0;chyba najbardziej znana
+791;7;0;0;.
+791;8;0;0;To chyba najbardziej znana marka perfum-ów na świecie
+603;0;0;0;bardzo
+603;1;0;0;.
+603;2;1;1;bardzo ciekawa
+603;3;0;0;jego
+603;4;0;0;Kolorystyka
+603;5;0;0;Kolorystyka jego jest bardzo ciekawa .
+545;0;0;0;całą
+545;1;1;0;czystym
+545;2;0;0;ten
+545;3;1;0;całą pewnością
+545;4;1;1;czystym sumieniem
+545;5;0;0;ten produkt
+545;6;1;0;czystym sumieniem i całą pewnością
+545;7;0;0;.
+545;8;1;1;polecić ten produkt
+545;9;1;0;Z czystym sumieniem i całą pewnością
+545;10;0;0;Z czystym sumieniem i całą pewnością mogę polecić ten produkt .
+106;0;0;0;bluzką
+106;1;0;0;pod bluzką
+106;2;0;0;widoczny pod bluzką
+106;3;0;0;mało widoczny pod bluzką
+106;4;0;0;gładki
+106;5;0;0;.
+106;6;0;0;gładki i mało widoczny pod bluzką
+106;7;0;0;jest
+106;8;0;0;Ponadto
+106;9;0;0;Ponadto jest dosyć gładki i mało widoczny pod bluzką .
+135;0;0;0;szczególnego
+135;1;0;0;dziewczęca
+135;2;1;1;ładna
+135;3;0;0;nic szczególnego
+135;4;0;0;całe
+135;5;0;0;jak
+135;6;0;0;-
+135;7;1;0;ładna i dziewczęca
+135;8;0;0;.
+135;9;0;0;całe perfumy nic szczególnego
+135;10;1;0;ładna i dziewczęca - ale jak
+135;11;0;0;Buteleczka ładna i dziewczęca - ale jak całe perfumy nic szczególnego .
+672;0;0;0;zapachów
+672;1;0;0;rozchwytywanej
+672;2;1;0;klasycznej
+672;3;0;0;nowsza
+672;4;0;0;z zapachów
+672;5;1;0;rozchwytywanej Eternity
+672;6;0;0;nowsza wersja klasycznej
+672;7;0;0;Kleina
+672;8;0;0;Jeden z zapachów
+672;9;0;0;.
+672;10;1;0;nowsza wersja klasycznej i rozchwytywanej Eternity
+672;11;0;0;,
+672;12;0;0;Jeden z zapachów Calvina Kleina
+672;13;0;0;Jeden z zapachów Calvina Kleina , jakby nowsza wersja klasycznej i rozchwytywanej Eternity .
+1016;0;0;0;mężczyzny
+1016;1;0;0;dla mężczyzny
+1016;2;0;0;prezent dla mężczyzny
+1016;3;0;0;.
+1016;4;0;0;na prezent dla mężczyzny
+1016;5;1;1;Dobra
+1016;6;0;1;Dobra alternatywa na prezent dla mężczyzny .
+42;0;0;0;"
+42;1;1;0;Słodkiego
+42;2;0;0;Słodkiego Jabuszka "
+42;3;0;0;"
+42;4;0;0;ulicy
+42;5;0;0;" Słodkiego Jabuszka " ,
+42;6;0;0;takiego
+42;7;0;0;.
+42;8;0;0;na ulicy
+42;9;0;0;bardzo
+42;10;0;0;chodź
+42;11;0;0;Zapach takiego " Słodkiego Jabuszka " ,
+42;12;0;1;Zapach takiego " Słodkiego Jabuszka " , chodź bardzo spotykany na ulicy .
+868;0;0;0;moich
+868;1;0;0;mnie
+868;2;0;0;nie
+868;3;0;0;który
+868;4;0;0;,
+868;5;0;0;moich oczekiwań
+868;6;1;1;, który nie zawiódł mnie
+868;7;1;1;, który nie zawiódł mnie i moich oczekiwań
+868;8;1;1;Triumph , który nie zawiódł mnie i moich oczekiwań
+868;9;0;0;.
+868;10;1;0;firmy Triumph , który nie zawiódł mnie i moich oczekiwań
+868;11;0;0;Kolejny
+868;12;0;0;Kolejny biustonosz firmy Triumph , który nie zawiódł mnie i moich oczekiwań .
+160;0;1;0;słodką
+160;1;0;1;słodką elegancją
+160;2;0;0;dynamiką
+160;3;0;0;dynamiką i słodką elegancją
+160;4;0;0;.
+160;5;0;0;z dynamiką i słodką elegancją
+160;6;0;0;się
+160;7;0;0;mi
+160;8;0;0;Kojarzy mi się z dynamiką i słodką elegancją .
+803;0;0;0;każdą
+803;1;0;0;każdą bluzkę
+803;2;0;0;.
+803;3;0;0;pod każdą bluzkę
+803;4;1;1;Idealny pod każdą bluzkę .
+572;0;0;0;prezencie
+572;1;0;0;które
+572;2;1;1;lepsze
+572;3;0;0;pierwsze
+572;4;0;0;Moje
+572;5;0;0;.
+572;6;0;0;w prezencie
+572;7;0;0;m
+572;8;1;0;Moje pierwsze lepsze perfumy które
+572;9;0;0;Moje pierwsze lepsze perfumy które dostała m w prezencie .
+1191;0;0;0;rock'n'rollowy
+1191;1;0;1;wspaniały
+1191;2;0;0;pozorom
+1191;3;0;0;wspaniały , rock'n'rollowy
+1191;4;0;0;.
+1191;5;0;0;wbrew pozorom
+1191;6;0;0;wspaniały , rock'n'rollowy zespół
+1191;7;0;0;To wspaniały , rock'n'rollowy zespół wbrew pozorom .
+238;0;0;0;tego
+238;1;0;0;dość
+238;2;0;0;tego zapachu
+238;3;-1;-1;dość wysoka
+238;4;0;0;.
+238;5;1;1;warta tego zapachu
+238;6;-1;-1;Cena dość wysoka
+238;7;0;0;Cena dość wysoka ale warta tego zapachu .
+114;0;0;0;ciała
+114;1;0;0;do ciała
+114;2;0;0;się
+114;3;1;1;Dobrze
+114;4;0;0;.
+114;5;0;0;dopasowuje się do ciała
+114;6;1;1;Dobrze leży
+114;7;0;0;Dobrze leży i dopasowuje się do ciała .
+44;0;0;0;ciała
+44;1;0;0;do ciała
+44;2;0;0;się
+44;3;1;1;Świetnie
+44;4;0;0;.
+44;5;0;0;dopasowuje się do ciała
+44;6;1;1;Świetnie leży
+44;7;0;0;Świetnie leży i dopasowuje się do ciała .
+242;0;0;1;prawdziwa
+242;1;0;0;.
+242;2;-1;-1;prawdziwa katastrofa
+242;3;0;0;się
+242;4;0;0;Wreszcie
+242;5;0;0;Wreszcie zdarzyła się prawdziwa katastrofa .
+217;0;1;0;tania
+217;1;0;0;nie
+217;2;0;0;woda
+217;3;0;0;”
+217;4;0;0;woda nie jest tania
+217;5;0;0;coś ”
+217;6;0;0;coś ” , woda nie jest tania
+217;7;0;0;„
+217;8;0;0;mnie
+217;9;0;0;to
+217;10;0;0;.
+217;11;0;0;„ to coś ” , woda nie jest tania
+217;12;0;0;dla mnie
+217;13;0;0;Mimo to
+217;14;0;0;Mimo to dla mnie ma „ to coś ” , woda nie jest tania .
+1134;0;0;0;bardzo
+1134;1;0;0;się
+1134;2;0;0;bardzo szybko
+1134;3;0;0;biustu
+1134;4;0;0;nie
+1134;5;-1;-1;bardzo szybko się niszczy
+1134;6;0;0;nie trzyma biustu
+1134;7;0;0;się
+1134;8;0;0;źle
+1134;9;0;0;Stanik
+1134;10;0;0;.
+1134;11;-1;0;nie trzyma biustu oraz bardzo szybko się niszczy
+1134;12;-1;0;Stanik źle układa się
+1134;13;0;0;Stanik źle układa się i nie trzyma biustu oraz bardzo szybko się niszczy .
+119;0;0;0;też
+119;1;1;1;też fajnym
+119;2;1;1;też fajnym prezentem
+119;3;0;0;.
+119;4;1;1;być też fajnym prezentem
+119;5;0;0;Może być też fajnym prezentem .
+215;0;0;0;6
+215;1;0;0;czarny
+215;2;0;0;nadal
+215;3;0;0;6 miesięcy
+215;4;0;0;go
+215;5;0;0;nadal jest czarny
+215;6;0;0;mam go 6 miesięcy
+215;7;1;1;trwały
+215;8;0;0;Kolor
+215;9;0;0;.
+215;10;0;0;mam go 6 miesięcy i nadal jest czarny
+215;11;1;0;Kolor jest trwały
+215;12;0;0;Kolor jest trwały , mam go 6 miesięcy i nadal jest czarny .
+1019;0;0;0;liści
+1019;1;0;0;jesiennym
+1019;2;0;1;wspaniałym
+1019;3;0;0;wspaniałym jesiennym przebarwieniu liści
+1019;4;0;0;również
+1019;5;0;0;o wspaniałym jesiennym przebarwieniu liści
+1019;6;0;1;najpiękniejszych
+1019;7;0;0;również obficie
+1019;8;0;1;najpiękniejszych gatunków o wspaniałym jesiennym przebarwieniu liści
+1019;9;0;0;również obficie owocujący
+1019;10;0;0;,
+1019;11;0;0;z najpiękniejszych gatunków o wspaniałym jesiennym przebarwieniu liści
+1019;12;0;0;rozkrzewiona
+1019;13;0;0;.
+1019;14;0;0;jeden z najpiękniejszych gatunków o wspaniałym jesiennym przebarwieniu liści , również obficie owocujący
+1019;15;0;0;Irga rozkrzewiona
+1019;16;0;0;Irga rozkrzewiona to jeden z najpiękniejszych gatunków o wspaniałym jesiennym przebarwieniu liści , również obficie owocujący .
+443;0;0;0;wieczór
+443;1;0;0;pracy
+443;2;0;0;na wieczór
+443;3;0;0;.
+443;4;0;0;do pracy
+443;5;1;1;Dobre na wieczór
+443;6;0;0;Dobre na wieczór i do pracy .
+1120;0;0;0;skóry
+1120;1;0;0;których
+1120;2;0;0;dla skóry
+1120;3;0;0;z których
+1120;4;0;0;jej
+1120;5;0;0;nie
+1120;6;1;1;przyjemne dla skóry
+1120;7;0;0;są
+1120;8;0;0;jest
+1120;9;0;0;Materiały z których
+1120;10;0;0;.
+1120;11;0;0;nie drapią jej
+1120;12;1;0;Materiały z których jest wykonany są przyjemne dla skóry
+1120;13;0;0;Materiały z których jest wykonany są przyjemne dla skóry , nie drapią jej .
+1066;0;1;0;klasyczny
+1066;1;0;0;prosty
+1066;2;0;0;prosty , klasyczny
+1066;3;0;0;.
+1066;4;0;1;prosty , klasyczny wygląd
+1066;5;0;0;Flakon
+1066;6;0;0;Flakon ma prosty , klasyczny wygląd .
+394;0;0;1;dobrej
+394;1;0;1;dobrej formie
+394;2;0;-1;zazdrości
+394;3;0;0;.
+394;4;0;0;w dobrej formie
+394;5;1;1;miłość
+394;6;0;0;Odrobina zazdrości
+394;7;0;0;Odrobina zazdrości utrzyma miłość w dobrej formie .
+1150;0;0;0;toaletowych
+1150;1;0;0;innych
+1150;2;0;1;wód toaletowych
+1150;3;0;0;bardzo
+1150;4;0;0;innych perfum
+1150;5;0;0;,
+1150;6;0;1;do wód toaletowych
+1150;7;0;0;bardzo długo
+1150;8;0;0;, czy innych perfum
+1150;9;0;1;przeciwieństwie do wód toaletowych
+1150;10;0;0;na bardzo długo
+1150;11;0;0;flakonik
+1150;12;0;0;w przeciwieństwie do wód toaletowych , czy innych perfum
+1150;13;0;0;flakonik starcza na bardzo długo
+1150;14;0;0;tych
+1150;15;0;0;flakonik starcza na bardzo długo , w przeciwieństwie do wód toaletowych , czy innych perfum
+1150;16;0;0;,
+1150;17;1;1;dobra
+1150;18;0;0;tych perfum
+1150;19;0;0;.
+1150;20;0;0;, ponieważ flakonik starcza na bardzo długo , w przeciwieństwie do wód toaletowych , czy innych perfum
+1150;21;1;1;dobra inwestycja
+1150;22;0;0;Kupno tych perfum
+1150;23;0;0;Kupno tych perfum to dobra inwestycja , ponieważ flakonik starcza na bardzo długo , w przeciwieństwie do wód toaletowych , czy innych perfum .
+746;0;-1;-1;przeciętnej
+746;1;0;0;przeciętnej kobiety
+746;2;0;0;dla przeciętnej kobiety
+746;3;0;0;sam
+746;4;0;0;.
+746;5;0;1;sam raz dla przeciętnej kobiety
+746;6;0;0;W sam raz dla przeciętnej kobiety .
+426;0;0;0;Triumph
+426;1;0;0;drogiej
+426;2;0;0;drogiej firmy Triumph
+426;3;0;0;bardzo
+426;4;0;0;z drogiej firmy Triumph
+426;5;0;0;.
+426;6;1;1;bardzo śliczny
+426;7;0;0;Stanik z drogiej firmy Triumph
+426;8;0;0;Stanik z drogiej firmy Triumph jest bardzo śliczny .
+1141;0;0;0;prostu
+1141;1;0;0;po prostu
+1141;2;0;0;które
+1141;3;0;0;,
+1141;4;1;1;, które po prostu uwielbiam
+1141;5;0;0;!
+1141;6;1;1;perfumy , które po prostu uwielbiam
+1141;7;0;0;Są
+1141;8;0;0;Są to perfumy , które po prostu uwielbiam !
+1176;0;0;0;tym
+1176;1;0;0;tym sezonie
+1176;2;0;0;w tym sezonie
+1176;3;0;0;bardzo
+1176;4;0;0;purpurowego
+1176;5;0;0;.
+1176;6;1;1;bardzo modny w tym sezonie
+1176;7;0;0;purpurowego różu
+1176;8;0;0;Kolor purpurowego różu bardzo modny w tym sezonie .
+260;0;1;1;dobrych
+260;1;1;1;dobrych materiałów
+260;2;0;0;.
+260;3;1;1;z dobrych materiałów
+260;4;0;0;jest
+260;5;0;0;Biustonosz
+260;6;0;0;Biustonosz jest zrobiony z dobrych materiałów .
+600;0;0;0;niektórych
+600;1;0;0;bardzo
+600;2;0;0;niektórych użytkowników
+600;3;0;0;bardzo przeciętny
+600;4;0;0;ekscytacji niektórych użytkowników
+600;5;0;1;bardzo przeciętny zapach
+600;6;0;0;.
+600;7;0;0;nierozumiem ekscytacji niektórych użytkowników
+600;8;0;-1;To bardzo przeciętny zapach
+600;9;0;0;To bardzo przeciętny zapach , nierozumiem ekscytacji niektórych użytkowników .
+883;0;1;0;słonecznej
+883;1;0;0;złota
+883;2;0;0;słonecznej plaży
+883;3;0;0;kolorach złota
+883;4;0;0;kolorach złota i słonecznej plaży
+883;5;0;0;.
+883;6;0;0;w kolorach złota i słonecznej plaży
+883;7;0;0;Stanik w kolorach złota i słonecznej plaży .
+708;0;0;0;starszych
+708;1;0;0;starszych panów
+708;2;0;0;raczej
+708;3;0;0;raczej do starszych panów
+708;4;0;0;woda
+708;5;0;0;że
+708;6;0;0;,
+708;7;0;0;.
+708;8;0;0;, że woda pasuje raczej do starszych panów
+708;9;0;0;się
+708;10;0;0;mi
+708;11;0;0;Wydaje mi się , że woda pasuje raczej do starszych panów .
+381;0;0;0;np
+381;1;0;0;dziewczyny np
+381;2;0;0;dla dziewczyny np
+381;3;0;0;prezent dla dziewczyny np
+381;4;0;0;.
+381;5;0;0;na prezent dla dziewczyny np
+381;6;1;1;Idealny na prezent dla dziewczyny np .
+388;0;0;0;perfum
+388;1;0;0;obojętnie
+388;2;0;0;obok perfum
+388;3;0;0;zapachu
+388;4;0;0;wyrazista
+388;5;-1;0;przejść obok perfum obojętnie
+388;6;0;0;nie
+388;7;0;0;iż
+388;8;0;0;,
+388;9;0;0;wyrazista nuta zapachu
+388;10;0;0;.
+388;11;1;0;, iż nie można przejść obok perfum obojętnie
+388;12;0;0;wyrazista nuta zapachu powodują
+388;13;1;1;romantyczna
+388;14;0;0;,
+388;15;0;0;Słodkawa
+388;16;0;0;Słodkawa , romantyczna i wyrazista nuta zapachu powodują , iż nie można przejść obok perfum obojętnie .
+861;0;0;0;zakochania
+861;1;1;0;fascynacją
+861;2;0;0;transem zakochania
+861;3;0;0;.
+861;4;0;0;transem zakochania i fascynacją
+861;5;0;0;nie
+861;6;1;1;Miłość
+861;7;0;0;Miłość nie jest transem zakochania i fascynacją .
+320;0;0;0;pożarniczy
+320;1;0;1;profesjonalny
+320;2;1;1;nowoczesny
+320;3;0;1;wszechstronny
+320;4;0;0;profesjonalny sprzęt pożarniczy
+320;5;0;0;wszechstronny , nowoczesny
+320;6;0;0;Ten
+320;7;0;0;.
+320;8;0;0;w profesjonalny sprzęt pożarniczy
+320;9;0;0;jest
+320;10;0;0;Ten wszechstronny , nowoczesny obiekt
+320;11;0;0;Ten wszechstronny , nowoczesny obiekt jest wyposażony w profesjonalny sprzęt pożarniczy .
+364;0;0;0;lat
+364;1;0;0;tych
+364;2;0;0;5 lat
+364;3;0;0;tych perfumach
+364;4;0;0;.
+364;5;0;0;od 5 lat
+364;6;0;0;chyba
+364;7;0;0;już
+364;8;0;0;O tych perfumach
+364;9;1;1;O tych perfumach marzę już chyba od 5 lat .
+73;0;1;1;śliczne
+73;1;0;0;flakon
+73;2;1;1;śliczne opakowanie
+73;3;0;0;bardzo
+73;4;1;1;śliczne opakowanie i flakon
+73;5;0;0;.
+73;6;0;0;bardzo męski
+73;7;1;0;Ma śliczne opakowanie i flakon
+73;8;0;0;Ma śliczne opakowanie i flakon , bardzo męski .
+547;0;0;0;wielki
+547;1;1;1;wielki sukces
+547;2;0;0;żeby
+547;3;0;0;,
+547;4;0;0;Każdy
+547;5;0;0;.
+547;6;0;0;, żeby odnieść wielki sukces
+547;7;0;0;chyba
+547;8;0;0;Każdy twórca
+547;9;0;0;-
+547;10;0;0;- Każdy twórca marzy chyba , żeby odnieść wielki sukces .
+518;0;0;0;tak
+518;1;1;1;przystępnej
+518;2;0;0;butelki
+518;3;1;1;tak dużą
+518;4;1;1;przystępnej cenie
+518;5;1;0;tak dużą pojemność butelki
+518;6;1;1;w przystępnej cenie
+518;7;0;0;.
+518;8;1;0;na tak dużą pojemność butelki
+518;9;1;1;w przystępnej cenie jak
+518;10;0;0;Woda w przystępnej cenie jak na tak dużą pojemność butelki .
+1031;0;0;0;mój
+1031;1;0;0;to
+1031;2;0;0;nimi
+1031;3;0;0;się
+1031;4;0;0;mój mężczyzna
+1031;5;0;0;Jak
+1031;6;0;0;.
+1031;7;0;0;pięknie
+1031;8;0;0;naprawdę
+1031;9;0;0;Jak mój mężczyzna się nimi psikał to
+1031;10;1;0;Jak mój mężczyzna się nimi psikał to naprawdę pięknie pachniał .
+931;0;1;1;wygodne
+931;1;0;0;lekkie
+931;2;0;0;.
+931;3;1;1;lekkie oraz wygodne
+931;4;0;0;Nakładki
+931;5;0;0;Nakładki są lekkie oraz wygodne .
+998;0;0;0;Versace
+998;1;0;0;od Versace
+998;2;0;0;każde
+998;3;0;0;każde perfumy od Versace
+998;4;0;0;tak
+998;5;1;1;wydajne
+998;6;0;0;Bardzo
+998;7;1;1;wydajne tak jak każde perfumy od Versace
+998;8;0;0;podobno
+998;9;0;0;się
+998;10;0;0;Bardzo długo
+998;11;0;0;.
+998;12;1;0;podobno są wydajne tak jak każde perfumy od Versace
+998;13;0;0;Bardzo długo utrzymuje się
+998;14;0;0;Bardzo długo utrzymuje się , podobno są wydajne tak jak każde perfumy od Versace .
+598;0;0;0;mały
+598;1;1;1;śliczny
+598;2;1;1;śliczny , mały
+598;3;1;1;śliczny , mały wazonik
+598;4;0;0;.
+598;5;1;1;w śliczny , mały wazonik
+598;6;0;0;jest
+598;7;0;0;woda
+598;8;0;0;woda jest zapakowana w śliczny , mały wazonik .
+234;0;0;0;drobnej
+234;1;1;0;uroczystej
+234;2;0;0;drobnej mistyfikacji
+234;3;0;0;uroczystej chwili
+234;4;0;0;.
+234;5;0;0;ofiarami drobnej mistyfikacji
+234;6;0;0;obserwatorzy uroczystej chwili
+234;7;0;0;Tu
+234;8;0;0;Tu obserwatorzy uroczystej chwili padli ofiarami drobnej mistyfikacji .
+581;0;0;0;je
+581;1;0;1;je podnosi
+581;2;0;0;piersi
+581;3;0;0;.
+581;4;0;0;piersi i je podnosi
+581;5;0;0;fajnie
+581;6;0;0;Bardzo
+581;7;0;0;Bardzo fajnie zbiera piersi i je podnosi .
+836;0;0;0;Triumph
+836;1;0;0;jego
+836;2;0;0;firmy Triumph
+836;3;0;0;innej
+836;4;0;0;jego zakupie
+836;5;0;0;innej bieliźnie firmy Triumph
+836;6;0;0;podobnie
+836;7;0;0;na jego zakupie
+836;8;0;0;się
+836;9;0;0;m
+836;10;0;0;Nie
+836;11;0;0;.
+836;12;0;0;na innej bieliźnie firmy Triumph
+836;13;1;0;Nie zawiodła m się na jego zakupie podobnie
+836;14;0;0;Nie zawiodła m się na jego zakupie podobnie jak na innej bieliźnie firmy Triumph .
+27;0;0;0;biznesowe
+27;1;0;0;spotkania biznesowe
+27;2;0;0;wieczory
+27;3;0;0;wieczory i spotkania biznesowe
+27;4;0;0;.
+27;5;0;0;na wieczory i spotkania biznesowe
+27;6;1;1;Idealny na wieczory i spotkania biznesowe .
+1104;0;0;1;przyciągającym
+1104;1;1;1;świeżym
+1104;2;1;1;świeżym , przyciągającym
+1104;3;1;1;świeżym , przyciągającym zapachu
+1104;4;0;0;.
+1104;5;1;1;o świeżym , przyciągającym zapachu
+1104;6;0;1;Perfumy o świeżym , przyciągającym zapachu .
+857;0;0;0;tak
+857;1;-1;0;nieudanych
+857;2;0;0;tak zwanych
+857;3;-1;0;tak zwanych nieudanych prezentów
+857;4;-1;0;z tak zwanych nieudanych prezentów
+857;5;0;0;moim
+857;6;-1;0;jeden z tak zwanych nieudanych prezentów
+857;7;0;-1;moim przypadku
+857;8;0;0;.
+857;9;-1;0;to jeden z tak zwanych nieudanych prezentów
+857;10;0;0;W moim przypadku
+857;11;0;0;W moim przypadku był to jeden z tak zwanych nieudanych prezentów .
+542;0;1;1;pełniejsze
+542;1;0;0;większe
+542;2;0;0;nim
+542;3;0;0;.
+542;4;0;0;większe i pełniejsze
+542;5;0;0;w nim
+542;6;0;0;się
+542;7;0;0;Piersi
+542;8;0;0;Piersi stają się w nim większe i pełniejsze .
+476;0;0;0;chyba
+476;1;0;0;raz
+476;2;0;0;kto
+476;3;0;0;,
+476;4;0;0;chyba każdemu
+476;5;1;1;znany
+476;6;0;0;perfumerii
+476;7;0;0;chyba każdemu , kto choć raz
+476;8;0;0;pojemnika znany
+476;9;0;0;raczej
+476;10;0;0;w perfumerii
+476;11;0;0;się
+476;12;0;0;raczej design pojemnika znany chyba każdemu , kto choć raz
+476;13;0;0;może
+476;14;0;0;.
+476;15;0;0;może raczej design pojemnika znany chyba każdemu , kto choć raz pojawił się w perfumerii
+476;16;0;0;,
+476;17;0;0;Zapach
+476;18;0;0;Zapach , a może raczej design pojemnika znany chyba każdemu , kto choć raz pojawił się w perfumerii .
+103;0;0;0;wieczór
+103;1;0;0;,
+103;2;0;0;na wieczór
+103;3;1;1;idealny
+103;4;0;0;.
+103;5;0;0;długo
+103;6;1;1;Perfum idealny na wieczór ,
+103;7;0;0;Perfum idealny na wieczór , długo pachnie .
+641;0;0;0;użyciu
+641;1;0;0;w użyciu
+641;2;1;1;wygodna w użyciu
+641;3;0;0;.
+641;4;1;1;, wygodna w użyciu
+641;5;0;0;stylowa
+641;6;0;0;Butelka stylowa , wygodna w użyciu .
+527;0;1;1;pomysłowy
+527;1;0;0;.
+527;2;1;1;pomysłowy kształt
+527;3;0;0;bardzo
+527;4;0;0;Ma bardzo pomysłowy kształt .
+80;0;0;0;,
+80;1;1;1;uroczy
+80;2;0;0;wzrok
+80;3;1;1;Flakonik uroczy ,
+80;4;0;0;Flakonik uroczy , przykuwa wzrok
+368;0;1;0;ukochanym
+368;1;0;0;codziennego
+368;2;0;0;z ukochanym
+368;3;0;0;wieczorne
+368;4;0;0;codziennego użytku
+368;5;0;0;wieczorne wyjścia z ukochanym
+368;6;0;0;również
+368;7;0;0;do codziennego użytku
+368;8;0;0;się
+368;9;0;0;.
+368;10;0;0;również na wieczorne wyjścia z ukochanym
+368;11;0;0;Nadaje się do codziennego użytku
+368;12;0;0;Nadaje się do codziennego użytku jak również na wieczorne wyjścia z ukochanym .
+1172;0;0;0;noszeniu
+1172;1;0;0;w noszeniu
+1172;2;0;0;skóry
+1172;3;0;0;nie
+1172;4;1;1;wygodny w noszeniu
+1172;5;0;0;.
+1172;6;1;0;nie podrażnia skóry
+1172;7;1;1;Jest wygodny w noszeniu
+1172;8;0;0;Jest wygodny w noszeniu i nie podrażnia skóry .
+366;0;0;0;tę
+366;1;0;0;specjalny
+366;2;0;0;tę okazję
+366;3;0;0;specjalny tort
+366;4;0;0;na tę okazję
+366;5;0;0;którzy
+366;6;0;0;,
+366;7;0;0;, którzy na tę okazję upiekli specjalny tort
+366;8;0;0;Paleniów
+366;9;0;1;radością
+366;10;0;0;.
+366;11;0;0;sąsiedzi , którzy na tę okazję upiekli specjalny tort
+366;12;0;0;państwa Paleniów
+366;13;0;0;również
+366;14;0;0;Z radością
+366;15;0;0;Z radością witali również państwa Paleniów sąsiedzi , którzy na tę okazję upiekli specjalny tort .
+638;0;1;1;luksusu
+638;1;1;1;świat luksusu
+638;2;0;0;Bardzo
+638;3;1;0;w świat luksusu
+638;4;0;0;mnie
+638;5;0;0;się
+638;6;0;0;Bardzo długo
+638;7;0;0;.
+638;8;1;1;przenosi mnie w świat luksusu
+638;9;0;0;Bardzo długo się utrzymuje
+638;10;0;0;Bardzo długo się utrzymuje i przenosi mnie w świat luksusu .
+674;0;0;0;siebie
+674;1;0;1;smacznym
+674;2;0;0;dla siebie
+674;3;0;1;smacznym obiedzie
+674;4;0;0;.
+674;5;0;-1;chwilę dla siebie
+674;6;0;0;jeszcze
+674;7;0;0;em
+674;8;0;0;Po smacznym obiedzie
+674;9;0;0;Po smacznym obiedzie miał em jeszcze chwilę dla siebie .
+702;0;0;0;drogi
+702;1;0;0;nie
+702;2;1;1;dobry
+702;3;0;0;toaletową
+702;4;1;-1;nie za drogi
+702;5;1;1;dobry produkt
+702;6;0;0;wodę toaletową
+702;7;1;1;dobry produkt i nie za drogi
+702;8;0;0;jest
+702;9;0;0;Bottled wodę toaletową
+702;10;0;0;.
+702;11;1;0;jest to dobry produkt i nie za drogi
+702;12;0;0;6 Bottled wodę toaletową
+702;13;0;0;6 Bottled wodę toaletową ponieważ jest to dobry produkt i nie za drogi .
+246;0;1;1;romantyczne
+246;1;0;0;długie
+246;2;0;0;długie , romantyczne
+246;3;0;0;długie , romantyczne wieczory
+246;4;0;0;.
+246;5;0;0;na długie , romantyczne wieczory
+246;6;0;0;się
+246;7;0;0;Idealnie
+246;8;0;0;Idealnie nadaje się na długie , romantyczne wieczory .
+515;0;0;0;stara
+515;1;0;0;pewna
+515;2;1;0;Niesamowitą
+515;3;0;0;.
+515;4;0;0;pewna stara kobieta
+515;5;0;0;mi
+515;6;0;1;Niesamowitą historię
+515;7;0;0;Niesamowitą historię opowiadała mi pewna stara kobieta .
+341;0;0;0;wieczór
+341;1;0;0;.
+341;2;0;0;na wieczór
+341;3;1;1;Świetny na wieczór .
+648;0;0;0;większym
+648;1;0;0;większym biuście
+648;2;0;0;o większym biuście
+648;3;0;0;przepięknie
+648;4;0;0;biust
+648;5;0;0;go
+648;6;0;0;się
+648;7;0;0;się
+648;8;0;0;nie
+648;9;0;0;naprawdę
+648;10;0;0;Pań o większym biuście
+648;11;1;1;biust wygląda przepięknie
+648;12;0;0;się go nosi
+648;13;0;0;że
+648;14;0;0;,
+648;15;0;0;naprawdę nie czuje się
+648;16;0;0;dla Pań o większym biuście
+648;17;0;0;.
+648;18;1;0;naprawdę nie czuje się , że się go nosi a biust wygląda przepięknie
+648;19;0;0;,
+648;20;1;0;Idealny dla Pań o większym biuście
+648;21;0;0;Idealny dla Pań o większym biuście , bo naprawdę nie czuje się , że się go nosi a biust wygląda przepięknie .
+562;0;0;0;m
+562;1;0;0;jaki
+562;2;0;0;,
+562;3;0;0;, jaki dokonała m
+562;4;1;1;najlepszych
+562;5;1;0;najlepszych zakupów , jaki dokonała m
+562;6;1;1;z najlepszych zakupów , jaki dokonała m
+562;7;1;1;jeden z najlepszych zakupów , jaki dokonała m
+562;8;0;0;.
+562;9;1;1;to jeden z najlepszych zakupów , jaki dokonała m
+562;10;0;0;Te
+562;11;0;0;Te perfumy to jeden z najlepszych zakupów , jaki dokonała m .
+60;0;0;0;chcących
+60;1;0;0;wyjątkowo
+60;2;0;0;się
+60;3;0;-1;kobiet chcących
+60;4;0;0;.
+60;5;1;0;poczuć się wyjątkowo
+60;6;0;0;dla kobiet chcących
+60;7;1;1;Polecam dla kobiet chcących poczuć się wyjątkowo .
+312;0;0;0;nimi
+312;1;0;0;między nimi
+312;2;0;0;seksowne
+312;3;0;0;,
+312;4;0;0;pięknie
+312;5;0;0;biustonosza
+312;6;0;0;, seksowne wiązanie między nimi
+312;7;1;1;pięknie zdobione
+312;8;0;0;uwagę
+312;9;0;0;część biustonosza
+312;10;0;0;także
+312;11;1;0;pięknie zdobione miseczki , seksowne wiązanie między nimi
+312;12;0;0;Na uwagę
+312;13;0;0;.
+312;14;0;0;także pozostała część biustonosza
+312;15;0;0;,
+312;16;1;0;Na uwagę zasługują pięknie zdobione miseczki , seksowne wiązanie między nimi
+312;17;0;0;Na uwagę zasługują pięknie zdobione miseczki , seksowne wiązanie między nimi , ale także pozostała część biustonosza .
+707;0;0;0;skórą
+707;1;0;0;wiele
+707;2;0;0;.
+707;3;0;0;ze skórą
+707;4;0;0;wtedy
+707;5;0;0;się
+707;6;1;1;lepiej
+707;7;0;0;O wiele
+707;8;0;1;O wiele lepiej komponuje się wtedy ze skórą .
+291;0;1;0;spory
+291;1;0;0;spory dekolt
+291;2;0;0;mam spory dekolt
+291;3;0;0;zakładać
+291;4;0;0;.
+291;5;0;0;zakładać gdy mam spory dekolt
+291;6;0;0;Ten
+291;7;0;0;Ten należy zakładać gdy mam spory dekolt .
+424;0;0;0;bujnym
+424;1;0;0;bujnym biuście
+424;2;0;0;o bujnym biuście
+424;3;0;0;Pań o bujnym biuście
+424;4;0;0;.
+424;5;0;0;dla Pań o bujnym biuście
+424;6;0;0;Bardzo
+424;7;1;1;Bardzo fajny dla Pań o bujnym biuście .
+947;0;0;0;upem
+947;1;0;0;push upem
+947;2;0;0;aplikacjami
+947;3;0;0;aplikacjami oraz push upem
+947;4;1;0;zniewalającymi aplikacjami oraz push upem
+947;5;0;0;różowy
+947;6;1;1;śliczny
+947;7;0;0;.
+947;8;1;0;ze zniewalającymi aplikacjami oraz push upem
+947;9;1;1;śliczny różowy kolor
+947;10;0;0;Ma śliczny różowy kolor ze zniewalającymi aplikacjami oraz push upem .
+1064;0;0;0;wina
+1064;1;1;0;Dobroczynne
+1064;2;0;0;.
+1064;3;0;0;plantatorzy
+1064;4;0;0;Dobroczynne działanie wina
+1064;5;0;0;Dobroczynne działanie wina potwierdzają plantatorzy .
+714;0;0;0;piersi
+714;1;0;0;biust
+714;2;1;1;Dobrze
+714;3;0;0;.
+714;4;0;0;powiększa piersi
+714;5;1;1;Dobrze podtrzymuje biust
+714;6;0;0;Dobrze podtrzymuje biust i powiększa piersi .
+298;0;1;1;entuzjastyczne
+298;1;0;0;.
+298;2;0;0;entuzjastyczne oklaski
+298;3;0;0;ich
+298;4;0;0;Witały ich entuzjastyczne oklaski .
+427;0;0;0;działania
+427;1;0;0;.
+427;2;0;0;rejon działania
+427;3;0;0;prawdopodobnie
+427;4;0;0;więc
+427;5;-1;0;Bandyci
+427;6;0;0;Bandyci zmienili więc prawdopodobnie rejon działania .
+739;0;0;0;takim
+739;1;0;0;takim kroju
+739;2;0;0;"
+739;3;0;0;"
+739;4;0;0;Mały
+739;5;0;0;.
+739;6;0;0;" w takim kroju
+739;7;0;0;Mały biust "
+739;8;-1;0;Mały biust " zginie " w takim kroju .
+896;0;0;0;nawet
+896;1;1;1;lepiej
+896;2;0;0;nie
+896;3;0;0;nigdy
+896;4;0;0;nawet mama
+896;5;0;0;że
+896;6;0;0;,
+896;7;0;0;zgodnym
+896;8;0;0;.
+896;9;0;0;, że nawet mama nigdy nie gotowała lepiej
+896;10;0;0;zgodnym chórem
+896;11;0;1;Dzieci
+896;12;0;0;Dzieci zgodnym chórem twierdzą , że nawet mama nigdy nie gotowała lepiej .
+300;0;0;0;.
+300;1;1;1;świetnym
+300;2;0;0;nie
+300;3;0;0;się
+300;4;0;0;mu
+300;5;0;0;. .
+300;6;0;1;świetnym patologiem
+300;7;0;0;,
+300;8;0;0;mu się nie znudzi
+300;9;0;0;. . .
+300;10;0;1;być świetnym patologiem
+300;11;0;0;Jeżeli mu się nie znudzi ,
+300;12;0;0;-
+300;13;0;0;- Jeżeli mu się nie znudzi , może być świetnym patologiem . . .
+591;0;0;0;prania
+591;1;0;1;podczas prania
+591;2;0;0;żadnych
+591;3;0;0;,
+591;4;0;0;nie
+591;5;0;0;który
+591;6;0;0;,
+591;7;1;-1;żadnych problemów podczas prania
+591;8;0;0;, który nie sprawia ,
+591;9;0;0;miękkiego
+591;10;1;1;miękkiego materiału , który nie sprawia , żadnych problemów podczas prania
+591;11;0;0;Prezentowany
+591;12;0;0;.
+591;13;1;1;z miękkiego materiału , który nie sprawia , żadnych problemów podczas prania
+591;14;0;0;jest
+591;15;0;0;Prezentowany produkt
+591;16;0;0;Prezentowany produkt jest wykonany z miękkiego materiału , który nie sprawia , żadnych problemów podczas prania .
+262;0;0;0;kobiety
+262;1;0;0;swojego
+262;2;0;0;pewnej
+262;3;1;0;pewnej swojego sexapilu kobiety
+262;4;1;1;prawdziwej
+262;5;1;0;prawdziwej , pewnej swojego sexapilu kobiety
+262;6;0;0;.
+262;7;1;0;dla prawdziwej , pewnej swojego sexapilu kobiety
+262;8;0;0;zdecydowanie dla prawdziwej , pewnej swojego sexapilu kobiety .
+903;0;0;0;bardzo
+903;1;0;0;-
+903;2;0;0;tylko
+903;3;0;0;bardzo kanciaty
+903;4;1;1;wygodny
+903;5;0;0;nie
+903;6;0;0;korek
+903;7;0;0;bardzo -
+903;8;0;0;za
+903;9;0;0;nie
+903;10;0;0;takie
+903;11;0;1;tylko opakowanie
+903;12;0;0;mnie
+903;13;-1;0;takie nie za bardzo - korek nie wygodny i bardzo kanciaty
+903;14;0;0;to tylko opakowanie
+903;15;0;0;dla mnie
+903;16;0;0;.
+903;17;-1;0;dla mnie to tylko opakowanie jest takie nie za bardzo - korek nie wygodny i bardzo kanciaty
+903;18;0;0;Jak dla mnie to tylko opakowanie jest takie nie za bardzo - korek nie wygodny i bardzo kanciaty .
+583;0;1;1;silnej
+583;1;0;0;temperamencie
+583;2;0;0;silnej osobowości
+583;3;0;0;silnej osobowości i temperamencie
+583;4;0;0;o silnej osobowości i temperamencie
+583;5;0;0;zdecydowanej o silnej osobowości i temperamencie
+583;6;0;0;.
+583;7;0;0;kobiety zdecydowanej o silnej osobowości i temperamencie
+583;8;0;0;Dla kobiety zdecydowanej o silnej osobowości i temperamencie .
+384;0;0;0;pewnej
+384;1;-1;1;szalonej
+384;2;0;0;pewnej siebie
+384;3;0;1;pewnej siebie i szalonej
+384;4;0;1;kobiety pewnej siebie i szalonej
+384;5;0;0;raczej
+384;6;0;0;.
+384;7;0;0;raczej dla kobiety pewnej siebie i szalonej
+384;8;0;0;Przeznaczone raczej dla kobiety pewnej siebie i szalonej .
+971;0;0;0;!
+971;1;1;1;przepiękny
+971;2;0;0;naprawdę
+971;3;0;0;Biustonosz
+971;4;0;0;Biustonosz jest naprawdę przepiękny !
+1199;0;0;0;pierwszych
+1199;1;0;0;pierwszych żeglarzy
+1199;2;1;0;odwagi pierwszych żeglarzy
+1199;3;0;0;dla odwagi pierwszych żeglarzy
+1199;4;0;0;podziwu dla odwagi pierwszych żeglarzy
+1199;5;0;0;uczucia podziwu dla odwagi pierwszych żeglarzy
+1199;6;0;0;nie
+1199;7;0;0;.
+1199;8;0;0;nie żywić uczucia podziwu dla odwagi pierwszych żeglarzy
+1199;9;0;0;Nie
+1199;10;0;0;Nie sposób nie żywić uczucia podziwu dla odwagi pierwszych żeglarzy .
+802;0;0;0;tej
+802;1;0;0;tej wody
+802;2;0;0;temat tej wody
+802;3;0;0;tak
+802;4;0;0;na temat tej wody
+802;5;1;1;tak pozytywnymi
+802;6;0;0;.
+802;7;1;0;tak pozytywnymi opiniami na temat tej wody
+802;8;0;0;jestem
+802;9;0;0;troszkę
+802;10;0;-1;troszkę zaskoczona jestem tak pozytywnymi opiniami na temat tej wody .
+240;0;1;0;słonecznej
+240;1;0;0;złota
+240;2;0;0;słonecznej plaży
+240;3;0;0;kolorach złota
+240;4;0;0;kolorach złota i słonecznej plaży
+240;5;0;0;.
+240;6;0;0;w kolorach złota i słonecznej plaży
+240;7;0;0;Stanik w kolorach złota i słonecznej plaży .
+950;0;0;0;Orędzia
+950;1;0;0;niemieckich
+950;2;0;0;polskich
+950;3;0;1;czterdziestolecie Orędzia
+950;4;0;0;polskich i niemieckich
+950;5;0;0;na czterdziestolecie Orędzia
+950;6;0;0;biskupów polskich i niemieckich
+950;7;0;0;wspólnego
+950;8;0;0;wspólnego oświadczenia biskupów polskich i niemieckich na czterdziestolecie Orędzia
+950;9;0;0;ostatecznego
+950;10;0;0;ostatecznego brzmienia wspólnego oświadczenia biskupów polskich i niemieckich na czterdziestolecie Orędzia
+950;11;0;0;Arcybiskup
+950;12;0;0;?
+950;13;0;0;z ostatecznego brzmienia wspólnego oświadczenia biskupów polskich i niemieckich na czterdziestolecie Orędzia
+950;14;1;1;zadowolony
+950;15;0;0;Ksiądz Arcybiskup
+950;16;0;0;Czy
+950;17;0;0;Czy jest Ksiądz Arcybiskup zadowolony z ostatecznego brzmienia wspólnego oświadczenia biskupów polskich i niemieckich na czterdziestolecie Orędzia ?
+1015;0;0;0;Chojnic
+1015;1;0;0;Piły
+1015;2;0;0;do Chojnic
+1015;3;0;0;z Piły
+1015;4;0;0;kolejowej
+1015;5;0;0;trasie kolejowej z Piły do Chojnic
+1015;6;0;-1;Tragiczny
+1015;7;0;0;.
+1015;8;0;0;na trasie kolejowej z Piły do Chojnic
+1015;9;0;0;się
+1015;10;0;-1;Tragiczny wypadek
+1015;11;0;0;Tragiczny wypadek zdarzył się na trasie kolejowej z Piły do Chojnic .
+970;0;0;0;sprzętu
+970;1;0;0;sportowymi
+970;2;0;0;sprawach sprzętu
+970;3;0;0;związkami sportowymi
+970;4;0;0;w sprawach sprzętu
+970;5;0;0;ze związkami sportowymi
+970;6;0;0;narciarzy
+970;7;0;0;konfliktach narciarzy ze związkami sportowymi w sprawach sprzętu
+970;8;0;0;.
+970;9;0;0;o konfliktach narciarzy ze związkami sportowymi w sprawach sprzętu
+970;10;0;0;się
+970;11;0;0;Często
+970;12;0;0;-
+970;13;0;0;- Często słyszy się o konfliktach narciarzy ze związkami sportowymi w sprawach sprzętu .
+508;0;0;0;prosty
+508;1;0;0;.
+508;2;0;0;prosty flakon
+508;3;1;1;Przepiękny
+508;4;0;0;Przepiękny , prosty flakon .
+660;0;0;0;bardzo
+660;1;1;1;ciekawy
+660;2;0;0;bardzo orginalnie
+660;3;0;0;się
+660;4;1;1;ciekawy biustonosz
+660;5;0;0;.
+660;6;0;0;prezentuje się bardzo orginalnie
+660;7;1;1;To ciekawy biustonosz
+660;8;0;0;To ciekawy biustonosz , prezentuje się bardzo orginalnie .
+949;0;0;0;cena
+949;1;0;0;nie
+949;2;0;0;flakonik
+949;3;0;0;.
+949;4;-1;-1;cena odstrasza
+949;5;-1;-1;flakonik nie zachwyca
+949;6;0;0;flakonik nie zachwyca a cena odstrasza .
+396;0;0;0;kobiet
+396;1;0;0;dla kobiet
+396;2;0;0;perfumowana dla kobiet
+396;3;1;0;świeża
+396;4;0;0;.
+396;5;0;0;świeża woda perfumowana dla kobiet
+396;6;0;0;Orientalno świeża woda perfumowana dla kobiet .
+1046;0;1;1;pracowitych
+1046;1;0;0;pracy
+1046;2;0;1;pracowitych ludzi
+1046;3;0;0;moja
+1046;4;0;0;do pracy
+1046;5;0;0;domu
+1046;6;0;0;rodziną pracowitych ludzi
+1046;7;0;0;moja rodzina
+1046;8;0;0;zamiłowanie do pracy
+1046;9;0;0;m
+1046;10;0;0;Z domu
+1046;11;0;0;.
+1046;12;0;0;moja rodzina była rodziną pracowitych ludzi
+1046;13;0;0;Z domu wyniosła m zamiłowanie do pracy
+1046;14;0;0;Z domu wyniosła m zamiłowanie do pracy , moja rodzina była rodziną pracowitych ludzi .
+575;0;0;0;skromności
+575;1;1;1;uniwersalny
+575;2;0;0;się
+575;3;0;0;elegancko
+575;4;0;0;pomimo skromności
+575;5;1;0;uniwersalny design
+575;6;0;0;Biustonosz
+575;7;0;0;.
+575;8;1;1;pomimo skromności elegancko się prezentuje
+575;9;1;0;Biustonosz ma uniwersalny design
+575;10;0;0;Biustonosz ma uniwersalny design i pomimo skromności elegancko się prezentuje .
+97;0;1;1;piękne
+97;1;0;0;te
+97;2;0;0;rączki
+97;3;0;0;te piękne stworzenia
+97;4;0;0;do rączki
+97;5;0;0;wziąć do rączki te piękne stworzenia
+97;6;0;0;aby
+97;7;0;0;,
+97;8;0;0;same
+97;9;0;0;, aby mogły wziąć do rączki te piękne stworzenia
+97;10;0;0;rodziców
+97;11;0;0;które same
+97;12;0;0;,
+97;13;0;0;, które same proszą rodziców , aby mogły wziąć do rączki te piękne stworzenia
+97;14;0;0;dzieci , które same proszą rodziców , aby mogły wziąć do rączki te piękne stworzenia
+97;15;0;0;dla dzieci , które same proszą rodziców , aby mogły wziąć do rączki te piękne stworzenia
+97;16;0;0;szczególnie
+97;17;0;0;.
+97;18;1;1;szczególnie atrakcyjne dla dzieci , które same proszą rodziców , aby mogły wziąć do rączki te piękne stworzenia
+97;19;0;0;to
+97;20;0;0;Jest to szczególnie atrakcyjne dla dzieci , które same proszą rodziców , aby mogły wziąć do rączki te piękne stworzenia .
+1195;0;0;0;dekoracyjny
+1195;1;1;1;ciekawy
+1195;2;0;1;ciekawy efekt dekoracyjny
+1195;3;0;0;jednocześnie
+1195;4;0;0;,
+1195;5;0;0;pełnowartościową
+1195;6;0;0;rzodkiewką
+1195;7;0;0;razem
+1195;8;0;0;.
+1195;9;0;0;, dając jednocześnie ciekawy efekt dekoracyjny
+1195;10;0;0;potrawę pełnowartościową
+1195;11;0;0;razem z rzodkiewką
+1195;12;0;0;one
+1195;13;0;0;Stanowią one razem z rzodkiewką potrawę pełnowartościową , dając jednocześnie ciekawy efekt dekoracyjny .
+417;0;0;0;flakonu
+417;1;-1;-1;okropny
+417;2;0;0;.
+417;3;-1;-1;okropny design flakonu
+417;4;0;0;tym
+417;5;0;0;Poza tym okropny design flakonu .
+14;0;1;1;znakomitym
+14;1;0;0;stylu
+14;2;1;1;znakomitym dizajnie
+14;3;1;1;znakomitym dizajnie i stylu
+14;4;1;1;o znakomitym dizajnie i stylu
+14;5;1;1;, o znakomitym dizajnie i stylu
+14;6;0;0;seksownego
+14;7;0;0;polska
+14;8;0;0;.
+14;9;1;1;coś seksownego , o znakomitym dizajnie i stylu
+14;10;0;0;polska firemka
+14;11;0;0;Tymczasem
+14;12;0;0;Tymczasem polska firemka robi coś seksownego , o znakomitym dizajnie i stylu .
+111;0;0;0;innym
+111;1;0;0;innym zapachem
+111;2;0;0;.
+111;3;0;0;z innym zapachem
+111;4;0;0;go
+111;5;0;0;Trudno
+111;6;-1;-1;Trudno go pomylić z innym zapachem .
+438;0;0;0;pudrowego
+438;1;0;0;wiśni
+438;2;1;1;ładne
+438;3;0;0;pudrowego różu
+438;4;0;0;odcienie wiśni
+438;5;0;0;-
+438;6;1;1;ładne kolory
+438;7;0;0;.
+438;8;1;0;ładne kolory - odcienie wiśni i pudrowego różu
+438;9;0;0;bardzo
+438;10;0;0;Ma bardzo ładne kolory - odcienie wiśni i pudrowego różu .
+442;0;0;0;d&
+442;1;0;0;d& g
+442;2;0;0;od d& g
+442;3;1;1;najlepsze od d& g
+442;4;1;1;, najlepsze od d& g
+442;5;0;0;ulubionych
+442;6;1;1;ulubionych perfum , najlepsze od d& g
+442;7;1;1;z ulubionych perfum , najlepsze od d& g
+442;8;1;1;jedne z ulubionych perfum , najlepsze od d& g
+442;9;0;0;.
+442;10;1;1;moje jedne z ulubionych perfum , najlepsze od d& g
+442;11;0;0;to
+442;12;0;0;Są to moje jedne z ulubionych perfum , najlepsze od d& g .
+159;0;0;0;mydło
+159;1;0;0;pachnie
+159;2;1;1;świetne
+159;3;0;0;gigantyczna
+159;4;0;0;Wielka
+159;5;0;0;.
+159;6;0;1;pachnie jak mydło
+159;7;1;1;świetne ceny
+159;8;0;0;,
+159;9;-1;0;gigantyczna cena
+159;10;0;0;,
+159;11;0;0;Wielka Marka
+159;12;0;0;Wielka Marka , gigantyczna cena , świetne ceny a pachnie jak mydło .
+1077;0;0;0;wieczorne
+1077;1;0;0;wieczorne wyjścia
+1077;2;0;0;na wieczorne wyjścia
+1077;3;0;0;stosowania na wieczorne wyjścia
+1077;4;0;0;.
+1077;5;0;0;do stosowania na wieczorne wyjścia
+1077;6;1;1;idealny
+1077;7;0;0;Produkt idealny do stosowania na wieczorne wyjścia .
+902;0;0;0;noszenia
+902;1;0;0;cały
+902;2;0;0;cały dzień noszenia
+902;3;0;0;przez cały dzień noszenia
+902;4;0;0;nie
+902;5;0;0;Nie
+902;6;0;0;.
+902;7;1;0;nie przeszkadza przez cały dzień noszenia
+902;8;1;0;Nie uwiera
+902;9;0;0;Nie uwiera ani nie przeszkadza przez cały dzień noszenia .
+661;0;0;0;względu
+661;1;0;0;korzenne
+661;2;1;1;intensywne
+661;3;0;0;ze względu
+661;4;0;1;intensywne korzenne nuty
+661;5;0;0;pana ze względu
+661;6;0;0;mnie
+661;7;0;0;.
+661;8;0;0;na intensywne korzenne nuty
+661;9;0;0;dla pana ze względu
+661;10;0;0;chyba
+661;11;0;0;dla mnie
+661;12;0;0;dla mnie chyba bardziej dla pana ze względu na intensywne korzenne nuty .
+661;13;0;0;Jak dla mnie chyba bardziej dla pana ze względu na intensywne korzenne nuty .
+282;0;1;1;pomysłowy
+282;1;0;0;tego
+282;2;1;1;pomysłowy flakonik
+282;3;0;0;do tego
+282;4;0;0;się
+282;5;0;0;Długo
+282;6;0;0;.
+282;7;1;0;do tego mają pomysłowy flakonik
+282;8;1;0;Długo się utrzymują
+282;9;0;0;Długo się utrzymują a do tego mają pomysłowy flakonik .
+486;0;0;0;co
+486;1;0;0;na co
+486;2;1;1;odpowiedni na co
+486;3;0;0;się
+486;4;0;0;nie
+486;5;0;0;Zupełnie
+486;6;0;0;.
+486;7;1;0;odpowiedni na co dzień
+486;8;0;0;dyskretny
+486;9;0;0;bardzo
+486;10;0;0;,
+486;11;0;0;Zupełnie nie narzucający się
+486;12;0;0;Zupełnie nie narzucający się , bardzo dyskretny i odpowiedni na co dzień .
+1049;0;0;0;tirów
+1049;1;1;1;Piękne
+1049;2;0;0;.
+1049;3;0;0;kierowców tirów
+1049;4;0;0;Piękne dziewczyny
+1049;5;0;0;Piękne dziewczyny zelektryzowały kierowców tirów .
+978;0;0;0;codziennego
+978;1;0;0;codziennego użytku
+978;2;0;0;wieczorną
+978;3;0;0;do codziennego użytku
+978;4;0;0;zarówno
+978;5;1;1;dobre
+978;6;0;0;wieczorną randkę
+978;7;0;0;,
+978;8;1;1;Perfumy dobre zarówno do codziennego użytku
+978;9;0;0;.
+978;10;0;0;na wieczorną randkę
+978;11;1;1;Perfumy dobre zarówno do codziennego użytku , jak
+978;12;0;0;Perfumy dobre zarówno do codziennego użytku , jak i na wieczorną randkę .
+699;0;0;0;świecie
+699;1;0;0;.
+699;2;0;0;na świecie
+699;3;1;1;Najlepsza
+699;4;0;0;Najlepsza perfuma na świecie .
+454;0;0;0;pracy
+454;1;0;0;do pracy
+454;2;0;0;,
+454;3;1;1;uroczy
+454;4;0;0;, czy do pracy
+454;5;1;0;uroczy wieczór
+454;6;0;0;.
+454;7;0;0;na uroczy wieczór , czy do pracy
+454;8;0;0;czy na uroczy wieczór , czy do pracy .
+139;0;1;1;śliczny
+139;1;0;0;kobiecy
+139;2;0;0;pięknie
+139;3;1;1;śliczny kolorek
+139;4;0;0;kobiecy biust
+139;5;1;1;śliczny kolorek pięknie kształduje
+139;6;0;0;Biustonosz
+139;7;0;0;.
+139;8;0;0;eksponuje kobiecy biust
+139;9;1;0;Biustonosz ma śliczny kolorek pięknie kształduje
+139;10;0;0;Biustonosz ma śliczny kolorek pięknie kształduje oraz eksponuje kobiecy biust .
+1196;0;0;0;zachodniopomorskiego
+1196;1;0;0;innymi
+1196;2;0;0;innymi miastami zachodniopomorskiego
+1196;3;1;0;bezpieczeństwa
+1196;4;0;0;porządku
+1196;5;0;0;z innymi miastami zachodniopomorskiego
+1196;6;0;0;porządku i bezpieczeństwa
+1196;7;0;0;porównaniu z innymi miastami zachodniopomorskiego
+1196;8;0;0;.
+1196;9;0;0;oazą porządku i bezpieczeństwa
+1196;10;0;0;Szczecinek
+1196;11;0;0;W porównaniu z innymi miastami zachodniopomorskiego
+1196;12;0;0;W porównaniu z innymi miastami zachodniopomorskiego Szczecinek jest oazą porządku i bezpieczeństwa .
+963;0;0;0;indywidualny
+963;1;0;0;własny
+963;2;0;0;własny , indywidualny
+963;3;0;0;życia
+963;4;1;1;kochających własny , indywidualny
+963;5;1;1;kochających własny , indywidualny styl życia
+963;6;0;0;,
+963;7;0;0;stylowych
+963;8;1;1;kobiet stylowych , kochających własny , indywidualny styl życia
+963;9;0;0;.
+963;10;1;1;dla kobiet stylowych , kochających własny , indywidualny styl życia
+963;11;0;0;perfumowana
+963;12;0;0;Woda
+963;13;0;0;Woda perfumowana przeznaczona dla kobiet stylowych , kochających własny , indywidualny styl życia .
+1162;0;0;0;chyba
+1162;1;0;0;świecie
+1162;2;0;0;chyba najbardziej
+1162;3;0;0;na świecie
+1162;4;0;0;chyba najbardziej znany
+1162;5;0;0;.
+1162;6;0;0;chyba najbardziej znany perfum na świecie
+1162;7;0;0;to
+1162;8;0;0;5 to chyba najbardziej znany perfum na świecie .
+768;0;0;0;pieniędzy
+768;1;-1;0;rabunku
+768;2;0;0;wymuszania pieniędzy
+768;3;0;0;wymuszania pieniędzy i rabunku
+768;4;0;1;młodych
+768;5;0;0;zarzutem wymuszania pieniędzy i rabunku
+768;6;0;0;młodych Polaków
+768;7;0;0;Neapolitańska
+768;8;0;0;.
+768;9;0;0;pod zarzutem wymuszania pieniędzy i rabunku
+768;10;0;0;czterech młodych Polaków
+768;11;0;0;Neapolitańska policja
+768;12;0;0;Neapolitańska policja zatrzymała czterech młodych Polaków pod zarzutem wymuszania pieniędzy i rabunku .
+281;0;0;0;mnie
+281;1;0;0;dla mnie
+281;2;0;0;.
+281;3;1;1;wygodny
+281;4;0;1;dla mnie biustonosz
+281;5;0;0;Jak
+281;6;0;0;Jak dla mnie biustonosz jest wygodny .
+81;0;0;0;Chanel
+81;1;0;0;stylu Chanel
+81;2;0;0;w stylu Chanel
+81;3;1;1;klasyczny
+81;4;0;0;.
+81;5;0;0;wszystko w stylu Chanel
+81;6;0;0;stary
+81;7;0;0;,
+81;8;0;0;Zapach klasyczny
+81;9;0;0;Zapach klasyczny , stary jak wszystko w stylu Chanel .
+116;0;0;0;częściej
+116;1;0;0;częściej podrabianych
+116;2;0;0;częściej podrabianych zapachów
+116;3;0;0;.
+116;4;0;0;z częściej podrabianych zapachów
+116;5;0;0;Jeden z częściej podrabianych zapachów .
+1152;0;0;0;najbardziej
+1152;1;1;1;najbardziej popularnych
+1152;2;1;1;najbardziej popularnych perfum
+1152;3;0;0;lacoste
+1152;4;0;0;,
+1152;5;1;0;z najbardziej popularnych perfum
+1152;6;0;0;, lacoste )
+1152;7;0;0;boss
+1152;8;0;0;(
+1152;9;1;0;jedne z najbardziej popularnych perfum
+1152;10;0;0;.
+1152;11;1;0;jedne z najbardziej popularnych perfum ( hugo boss , lacoste )
+1152;12;0;0;to
+1152;13;0;0;Są to jedne z najbardziej popularnych perfum ( hugo boss , lacoste ) .
+479;0;0;0;rynku
+479;1;0;0;na rynku
+479;2;0;0;perfum
+479;3;1;1;lepszych
+479;4;1;1;lepszych marek perfum na rynku
+479;5;1;1;z lepszych marek perfum na rynku
+479;6;1;1;jedna z lepszych marek perfum na rynku
+479;7;1;1;Davidoff jedna z lepszych marek perfum na rynku
+479;8;0;0;,
+479;9;0;0;.
+479;10;1;1;, że Davidoff jedna z lepszych marek perfum na rynku
+479;11;0;0;em
+479;12;0;0;Doszedł em , że Davidoff jedna z lepszych marek perfum na rynku .
+83;0;0;0;gustu
+83;1;0;0;gładkich
+83;2;0;0;do gustu
+83;3;0;0;mi
+83;4;0;0;ten
+83;5;0;0;gładkich biustonoszach
+83;6;0;0;raczej
+83;7;1;0;ten przypadł mi do gustu
+83;8;0;0;raczej w gładkich biustonoszach
+83;9;0;0;,
+83;10;0;0;.
+83;11;1;0;gustuję raczej w gładkich biustonoszach ten przypadł mi do gustu
+83;12;0;0;Mimo ,
+83;13;0;0;Mimo , że gustuję raczej w gładkich biustonoszach ten przypadł mi do gustu .
+360;0;0;0;osobie
+360;1;1;1;bliskiej
+360;2;0;0;prezent bliskiej osobie
+360;3;0;0;dać
+360;4;0;0;Rush
+360;5;0;0;.
+360;6;0;0;dać jako prezent bliskiej osobie
+360;7;0;0;Gucci Rush
+360;8;0;1;Gucci Rush można dać jako prezent bliskiej osobie .
+383;0;1;1;Ciekawe
+383;1;0;0;.
+383;2;0;0;kolory
+383;3;1;1;Ciekawe hafty
+383;4;0;0;Ciekawe hafty i kolory .
+585;0;0;1;Gospodarczą
+585;1;0;1;Krajową
+585;2;0;1;Krajową Izbę Gospodarczą
+585;3;0;0;Jego
+585;4;0;0;.
+585;5;0;1;poprzez Krajową Izbę Gospodarczą
+585;6;0;0;Jego wiarygodność
+585;7;0;0;Jego wiarygodność sprawdzono poprzez Krajową Izbę Gospodarczą .
+645;0;1;1;mocną
+645;1;0;0;mocną świeżość
+645;2;0;0;tym
+645;3;0;0;.
+645;4;0;1;można mocną świeżość
+645;5;0;0;Poza tym
+645;6;0;0;Poza tym wyczuć można mocną świeżość .
+747;0;0;0;SLD­PSL
+747;1;0;0;koalicję SLD­PSL
+747;2;0;0;drapieżnych
+747;3;0;0;krajowych
+747;4;0;0;przez koalicję SLD­PSL
+747;5;0;0;krajowych , drapieżnych
+747;6;0;0;świeżych
+747;7;0;0;przyjętej przez koalicję SLD­PSL
+747;8;0;0;świeżych krajowych , drapieżnych kapitalistów
+747;9;0;0;globalistów
+747;10;0;0;przyjętej przez koalicję SLD­PSL ustawy
+747;11;0;0;bruk
+747;12;0;0;globalistów i świeżych krajowych , drapieżnych kapitalistów
+747;13;-1;0;błędy przyjętej przez koalicję SLD­PSL ustawy
+747;14;0;0;,
+747;15;0;0;na bruk
+747;16;0;0;na globalistów i świeżych krajowych , drapieżnych kapitalistów
+747;17;0;0;, naprawiając błędy przyjętej przez koalicję SLD­PSL ustawy
+747;18;0;0;eksmitowanych na bruk
+747;19;0;0;.
+747;20;0;0;grzmiał na globalistów i świeżych krajowych , drapieżnych kapitalistów
+747;21;0;0;Bronił eksmitowanych na bruk , naprawiając błędy przyjętej przez koalicję SLD­PSL ustawy
+747;22;0;0;Bronił eksmitowanych na bruk , naprawiając błędy przyjętej przez koalicję SLD­PSL ustawy , grzmiał na globalistów i świeżych krajowych , drapieżnych kapitalistów .
+677;0;0;0;tłumie
+677;1;0;0;w tłumie
+677;2;0;0;się
+677;3;1;0;wyróżniający się w tłumie
+677;4;0;0;.
+677;5;1;1;zapach wyróżniający się w tłumie
+677;6;0;0;pewnością
+677;7;0;0;z pewnością zapach wyróżniający się w tłumie .
+754;0;0;0;nie
+754;1;0;0;go
+754;2;0;0;już
+754;3;0;0;zakupu
+754;4;0;-1;już go nie kupie
+754;5;1;0;warty zakupu
+754;6;0;0;nie
+754;7;0;0;produkt warty zakupu już go nie kupie
+754;8;0;0;nie jest
+754;9;0;0;tym
+754;10;-1;0;to nie jest produkt warty zakupu już go nie kupie
+754;11;0;0;myślę
+754;12;0;0;o tym
+754;13;-1;0;myślę że to nie jest produkt warty zakupu już go nie kupie
+754;14;0;0;pisać o tym
+754;15;-1;0;pisać o tym bo myślę że to nie jest produkt warty zakupu już go nie kupie
+754;16;-1;0;więcej pisać o tym bo myślę że to nie jest produkt warty zakupu już go nie kupie
+754;17;0;0;!
+754;18;-1;0;co więcej pisać o tym bo myślę że to nie jest produkt warty zakupu już go nie kupie
+754;19;0;0;Nie
+754;20;0;0;Nie ma co więcej pisać o tym bo myślę że to nie jest produkt warty zakupu już go nie kupie !
+1122;0;0;0;bardzo
+1122;1;0;0;Jego
+1122;2;0;0;.
+1122;3;1;1;bardzo atrakcyjny
+1122;4;0;0;również
+1122;5;0;0;Jego wygląd
+1122;6;0;1;Jego wygląd również jest bardzo atrakcyjny .
+175;0;0;0;ubezpieczeniowego
+175;1;0;0;towarzystwa ubezpieczeniowego
+175;2;0;0;z towarzystwa ubezpieczeniowego
+175;3;0;0;odszkodowania
+175;4;0;0;otrzymania odszkodowania z towarzystwa ubezpieczeniowego
+175;5;0;0;możliwość otrzymania odszkodowania z towarzystwa ubezpieczeniowego
+175;6;0;0;istniała możliwość otrzymania odszkodowania z towarzystwa ubezpieczeniowego
+175;7;0;0;że
+175;8;0;0;,
+175;9;0;0;Całej
+175;10;0;0;.
+175;11;0;0;, mimo że istniała możliwość otrzymania odszkodowania z towarzystwa ubezpieczeniowego
+175;12;-1;-1;katastrofa
+175;13;0;0;Całej imprezie
+175;14;0;-1;Całej imprezie groziła katastrofa , mimo że istniała możliwość otrzymania odszkodowania z towarzystwa ubezpieczeniowego .
+311;0;0;0;wrażenie
+311;1;0;0;już
+311;2;0;0;flakon
+311;3;1;1;Ładne
+311;4;0;0;.
+311;5;1;0;flakon już robią wrażenie
+311;6;1;0;Ładne opakowanie
+311;7;0;0;Ładne opakowanie i flakon już robią wrażenie .
+996;0;1;0;klasycznych
+996;1;0;0;Coco
+996;2;0;0;klasycznych perfum
+996;3;0;0;nowym
+996;4;0;0;.
+996;5;0;0;nowym wcieleniem klasycznych perfum Coco
+996;6;0;0;nie
+996;7;0;0;Mademoiselle
+996;8;0;0;Coco
+996;9;0;0;Coco Mademoiselle nie jest nowym wcieleniem klasycznych perfum Coco .
+123;0;0;0;moich
+123;1;0;0;mnie
+123;2;0;0;nie
+123;3;0;0;który
+123;4;0;0;,
+123;5;0;0;moich oczekiwań
+123;6;1;1;, który nie zawiódł mnie
+123;7;1;-1;, który nie zawiódł mnie i moich oczekiwań
+123;8;1;1;Triumph , który nie zawiódł mnie i moich oczekiwań
+123;9;0;0;.
+123;10;1;1;firmy Triumph , który nie zawiódł mnie i moich oczekiwań
+123;11;0;0;Kolejny
+123;12;0;0;Kolejny biustonosz firmy Triumph , który nie zawiódł mnie i moich oczekiwań .
+285;0;1;0;energicznych
+285;1;0;0;.
+285;2;1;0;energicznych mężczyzn
+285;3;0;0;Dla energicznych mężczyzn .
+304;0;0;0;nuklearnych
+304;1;1;1;zysk
+304;2;0;0;odpadów nuklearnych
+304;3;0;1;przynoszący zysk
+304;4;0;0;przynoszący zysk import odpadów nuklearnych
+304;5;0;0;na przynoszący zysk import odpadów nuklearnych
+304;6;0;0;która
+304;7;0;0;,
+304;8;0;0;, która pozwoli na przynoszący zysk import odpadów nuklearnych
+304;9;0;0;ustawy , która pozwoli na przynoszący zysk import odpadów nuklearnych
+304;10;0;0;.
+304;11;0;0;projektowi ustawy , która pozwoli na przynoszący zysk import odpadów nuklearnych
+304;12;0;0;się
+304;13;0;0;Sprzeciwili się projektowi ustawy , która pozwoli na przynoszący zysk import odpadów nuklearnych .
+845;0;0;0;mężczyzny
+845;1;0;0;.
+845;2;0;0;dla mężczyzny
+845;3;1;0;Przepiękne
+845;4;0;0;Przepiękne perfumy dla mężczyzny .
+729;0;0;0;pubie
+729;1;0;0;w pubie
+729;2;0;0;Jazzowej
+729;3;0;0;muzyce Jazzowej w pubie
+729;4;0;0;przy muzyce Jazzowej w pubie
+729;5;0;1;spotkania przy muzyce Jazzowej w pubie
+729;6;0;0;.
+729;7;0;0;na spotkania przy muzyce Jazzowej w pubie
+729;8;1;1;Polecam na spotkania przy muzyce Jazzowej w pubie .
+607;0;0;0;zimową
+607;1;0;0;wieczorne
+607;2;0;0;zimową aurę
+607;3;0;0;wieczorne wyjście
+607;4;0;0;wieczorne wyjście lub zimową aurę
+607;5;0;0;.
+607;6;0;0;na wieczorne wyjście lub zimową aurę
+607;7;1;1;Idealny na wieczorne wyjście lub zimową aurę .
+891;0;0;0;sephory
+891;1;0;0;z sephory
+891;2;0;0;tymi z sephory
+891;3;0;0;ciele
+891;4;0;0;z tymi z sephory
+891;5;0;0;na ciele
+891;6;0;0;swój
+891;7;0;0;porównaniu z tymi z sephory
+891;8;0;0;swój zapach na ciele
+891;9;0;0;krótko
+891;10;0;0;te
+891;11;0;0;w porównaniu z tymi z sephory
+891;12;0;0;w porównaniu z tymi z sephory te utrzymują krótko swój zapach na ciele
+891;13;0;0;,
+891;14;0;0;.
+891;15;0;0;, aczkolwiek w porównaniu z tymi z sephory te utrzymują krótko swój zapach na ciele
+891;16;1;1;oryginalne
+891;17;0;0;perfumki oryginalne , aczkolwiek w porównaniu z tymi z sephory te utrzymują krótko swój zapach na ciele .
+1103;0;0;0;starszych
+1103;1;1;1;młodych
+1103;2;0;0;starszych kobiet
+1103;3;0;0;młodych jak
+1103;4;0;0;młodych jak i starszych kobiet
+1103;5;0;0;dla młodych jak i starszych kobiet
+1103;6;0;0;.
+1103;7;0;0;zarówno dla młodych jak i starszych kobiet
+1103;8;0;0;się
+1103;9;0;0;Perfumy
+1103;10;0;0;Perfumy nadają się zarówno dla młodych jak i starszych kobiet .
+814;0;1;1;niesamowite
+814;1;1;1;niesamowite perfumy
+814;2;0;0;każdej
+814;3;0;0;,
+814;4;1;1;- niesamowite perfumy
+814;5;0;0;Jednym
+814;6;0;0;.
+814;7;0;0;każdej kobiecie
+814;8;0;0;się
+814;9;1;1;Jednym słowem - niesamowite perfumy ,
+814;10;0;0;Jednym słowem - niesamowite perfumy , spodobają się każdej kobiecie .
+62;0;0;0;lotnisku
+62;1;0;0;bardzo
+62;2;0;0;na lotnisku
+62;3;1;1;bardzo korzystnej
+62;4;1;1;bardzo korzystnej cenie na lotnisku
+62;5;0;0;)
+62;6;0;0;:
+62;7;1;1;w bardzo korzystnej cenie na lotnisku
+62;8;0;0;je
+62;9;0;0;m
+62;10;0;0;Zakupiła m je w bardzo korzystnej cenie na lotnisku : )
+1175;0;0;0;miseczkami
+1175;1;0;0;pomiędzy miseczkami
+1175;2;1;1;ładną
+1175;3;1;1;ładną kokardkę pomiędzy miseczkami
+1175;4;0;0;.
+1175;5;1;1;za ładną kokardkę pomiędzy miseczkami
+1175;6;0;1;Plus za ładną kokardkę pomiędzy miseczkami .
+418;0;0;0;wszystko
+418;1;0;0;te
+418;2;1;0;znanych
+418;3;0;0;różnych
+418;4;1;0;te przebijają wszystko
+418;5;0;0;,
+418;6;0;0;różnych znanych marek
+418;7;0;0;,
+418;8;0;0;perfum
+418;9;1;0;perfum , różnych znanych marek , ale te przebijają wszystko
+418;10;0;0;.
+418;11;1;0;wielu perfum , różnych znanych marek , ale te przebijają wszystko
+418;12;0;0;już
+418;13;0;0;m
+418;14;0;0;Używała m już wielu perfum , różnych znanych marek , ale te przebijają wszystko .
+1067;0;0;0;każdej
+1067;1;0;0;każdej kobiety
+1067;2;0;0;.
+1067;3;0;0;dla każdej kobiety
+1067;4;1;1;Idealny
+1067;5;0;0;Idealny prezent dla każdej kobiety .
+127;0;0;0;.
+127;1;0;0;butelki
+127;2;1;1;Ciekawy
+127;3;0;1;Ciekawy design butelki .
+385;0;0;0;figury
+385;1;0;0;do figury
+385;2;0;0;się
+385;3;1;1;dobrze
+385;4;0;0;Bardzo
+385;5;0;0;.
+385;6;0;0;dopasowuje się do figury
+385;7;1;1;Bardzo dobrze leży
+385;8;0;0;Bardzo dobrze leży i dopasowuje się do figury .
+77;0;0;0;jego
+77;1;0;0;produktem
+77;2;1;1;godnym
+77;3;0;0;wygórowana
+77;4;0;0;nie
+77;5;0;0;jego cena
+77;6;1;0;godnym polecenia produktem
+77;7;0;0;on
+77;8;0;0;.
+77;9;1;-1;jego cena nie jest wygórowana
+77;10;0;0;,
+77;11;1;0;jest on godnym polecenia produktem
+77;12;0;0;że
+77;13;0;0;,
+77;14;0;0;Uważam
+77;15;0;0;Uważam , że jest on godnym polecenia produktem , a jego cena nie jest wygórowana .
+683;0;0;0;niedzielę
+683;1;0;0;Shalita
+683;2;0;0;w niedzielę
+683;3;0;0;Gilada Shalita
+683;4;0;0;,
+683;5;0;0;swego
+683;6;-1;0;porwanego w niedzielę
+683;7;0;0;porwanego w niedzielę swego kolegę , Gilada Shalita
+683;8;0;0;domu
+683;9;0;0;odnaleźć porwanego w niedzielę swego kolegę , Gilada Shalita
+683;10;0;0;się
+683;11;0;0;,
+683;12;0;0;po domu
+683;13;0;0;bombardowaniach
+683;14;0;0;.
+683;15;0;0;, starając się odnaleźć porwanego w niedzielę swego kolegę , Gilada Shalita
+683;16;0;0;dom po domu
+683;17;0;0;wojsko
+683;18;0;0;Po bombardowaniach
+683;19;0;0;Po bombardowaniach wojsko przeczesuje dom po domu , starając się odnaleźć porwanego w niedzielę swego kolegę , Gilada Shalita .
+55;0;0;0;prostu
+55;1;0;0;po prostu
+55;2;0;0;Ten
+55;3;0;0;!
+55;4;1;1;po prostu śliczny
+55;5;0;0;Ten biustonosz
+55;6;0;0;Ten biustonosz jest po prostu śliczny !
+306;0;0;0;prosta
+306;1;0;0;.
+306;2;1;1;ładna
+306;3;0;0;,
+306;4;0;0;Butelka prosta
+306;5;0;0;Butelka prosta , ale ładna .
+236;0;0;0;każdego
+236;1;0;0;każdego dnia
+236;2;0;0;noszenia każdego dnia
+236;3;0;0;.
+236;4;0;0;do noszenia każdego dnia
+236;5;1;1;Doskonały do noszenia każdego dnia .
+82;0;0;0;co
+82;1;0;0;co dzień
+82;2;0;0;.
+82;3;0;0;na co dzień
+82;4;0;0;się
+82;5;1;1;Świetnie
+82;6;0;1;Świetnie nadaje się na co dzień .
+76;0;0;0;wycieczkę
+76;1;0;0;Ligoty
+76;2;0;0;festynu
+76;3;-1;0;na wycieczkę
+76;4;0;0;z Ligoty
+76;5;0;0;którym
+76;6;0;0;zorganizowania festynu
+76;7;1;0;pojechać na wycieczkę
+76;8;0;0;będą
+76;9;0;-1;dzieci z Ligoty
+76;10;0;0;dzięki którym
+76;11;0;0;do zorganizowania festynu
+76;12;0;0;się
+76;13;0;0;którzy
+76;14;0;0;,
+76;15;0;1;dzięki którym dzieci z Ligoty będą mogły pojechać na wycieczkę
+76;16;0;0;, którzy przyczynili się do zorganizowania festynu
+76;17;0;0;Kuźnik
+76;18;0;0;, którzy przyczynili się do zorganizowania festynu i dzięki którym dzieci z Ligoty będą mogły pojechać na wycieczkę
+76;19;0;0;wszystkim
+76;20;0;0;serdeczne
+76;21;0;0;Stanisław Kuźnik
+76;22;0;0;Ligoty
+76;23;0;0;.
+76;24;0;0;wszystkim sponsorom , którzy przyczynili się do zorganizowania festynu i dzięki którym dzieci z Ligoty będą mogły pojechać na wycieczkę
+76;25;0;0;serdeczne podziękowanie
+76;26;0;0;Sołtys Ligoty Stanisław Kuźnik
+76;27;0;0;Sołtys Ligoty Stanisław Kuźnik składa serdeczne podziękowanie wszystkim sponsorom , którzy przyczynili się do zorganizowania festynu i dzięki którym dzieci z Ligoty będą mogły pojechać na wycieczkę .
+855;0;0;0;dość
+855;1;-1;0;dość nijaki
+855;2;0;0;się
+855;3;0;0;uwagi
+855;4;0;0;nie
+855;5;0;0;Zapach
+855;6;0;0;.
+855;7;-1;0;wydaje się dość nijaki
+855;8;0;0;Zapach nie przyciąga uwagi
+855;9;0;0;Zapach nie przyciąga uwagi , wydaje się dość nijaki .
+212;0;0;1;spokojnego
+212;1;1;0;gestapowskiej
+212;2;0;0;spokojnego snu
+212;3;-1;0;gestapowskiej policji
+212;4;0;0;nich
+212;5;0;0;końcu
+212;6;0;0;do spokojnego snu
+212;7;0;0;oddziały gestapowskiej policji
+212;8;0;0;dla nich
+212;9;0;0;w końcu
+212;10;0;0;którą
+212;11;0;0;,
+212;12;0;1;prawo do spokojnego snu
+212;13;0;0;rozwydrzoną
+212;14;0;1;, którą w końcu wygrały dla nich oddziały gestapowskiej policji
+212;15;0;0;o prawo do spokojnego snu
+212;16;0;0;rozwydrzoną młodzieżą
+212;17;-1;0;wojnę o prawo do spokojnego snu , którą w końcu wygrały dla nich oddziały gestapowskiej policji
+212;18;0;0;,
+212;19;0;0;z rozwydrzoną młodzieżą
+212;20;0;0;dzisiaj
+212;21;0;0;Ich
+212;22;0;0;.
+212;23;0;0;wojnę z rozwydrzoną młodzieżą , wojnę o prawo do spokojnego snu , którą w końcu wygrały dla nich oddziały gestapowskiej policji
+212;24;0;0;do dzisiaj
+212;25;0;0;Ich mieszkańcy
+212;26;0;0;Ich mieszkańcy do dzisiaj pamiętają wojnę z rozwydrzoną młodzieżą , wojnę o prawo do spokojnego snu , którą w końcu wygrały dla nich oddziały gestapowskiej policji .
+422;0;0;0;gospodarczą
+422;1;0;0;przestępczością gospodarczą
+422;2;0;0;Olsztynie
+422;3;0;0;z przestępczością gospodarczą
+422;4;0;0;w Olsztynie
+422;5;0;0;Wojewódzkiej
+422;6;-1;0;walki z przestępczością gospodarczą
+422;7;0;0;chronionej
+422;8;0;0;Komendy Wojewódzkiej w Olsztynie
+422;9;0;0;do walki z przestępczością gospodarczą
+422;10;0;0;pracy chronionej
+422;11;0;0;wydziału do walki z przestępczością gospodarczą Komendy Wojewódzkiej w Olsztynie
+422;12;0;0;zakładach pracy chronionej
+422;13;0;0;z wydziału do walki z przestępczością gospodarczą Komendy Wojewódzkiej w Olsztynie
+422;14;0;0;w zakładach pracy chronionej
+422;15;0;0;Kolejną
+422;16;0;0;.
+422;17;0;-1;policjanci z wydziału do walki z przestępczością gospodarczą Komendy Wojewódzkiej w Olsztynie
+422;18;0;0;Kolejną aferę w zakładach pracy chronionej
+422;19;0;0;Kolejną aferę w zakładach pracy chronionej ujawnili policjanci z wydziału do walki z przestępczością gospodarczą Komendy Wojewódzkiej w Olsztynie .
+254;0;1;1;ładny
+254;1;0;0;.
+254;2;1;1;ładny wygląd
+254;3;0;0;Buteleczka
+254;4;0;1;Buteleczka ma ładny wygląd .
+906;0;0;0;faceta
+906;1;0;0;.
+906;2;0;0;dla faceta
+906;3;1;1;Idealny
+906;4;0;0;Idealny prezent dla faceta .
+679;0;0;0;kobiety
+679;1;0;0;pewnej
+679;2;0;1;pewnej siebie kobiety
+679;3;1;1;dojrzałej
+679;4;0;1;dojrzałej oraz pewnej siebie kobiety
+679;5;0;0;!
+679;6;0;0;!
+679;7;0;1;dla dojrzałej oraz pewnej siebie kobiety
+679;8;0;1;Perfum dla dojrzałej oraz pewnej siebie kobiety ! !
+790;0;0;0;kobiety
+790;1;0;0;!
+790;2;0;0;na kobiety
+790;3;1;0;Działa na kobiety !
+137;0;1;0;energiczny
+137;1;0;0;.
+137;2;1;0;energiczny zapach
+137;3;0;0;Świerzy energiczny zapach .
+737;0;1;1;energicznym
+737;1;0;0;rzeczywiście
+737;2;0;0;energicznym ruchu
+737;3;0;1;dużym
+737;4;0;0;czego
+737;5;0;0;rzeczywiście sam
+737;6;0;0;Samonośny
+737;7;0;0;dużym i energicznym ruchu
+737;8;0;0;bardzo
+737;9;0;0;z czego
+737;10;0;0;się
+737;11;0;0;Samonośny stanik rzeczywiście sam
+737;12;0;0;niekomfortowe
+737;13;0;0;co
+737;14;0;0;przy dużym i energicznym ruchu
+737;15;0;0;jednak
+737;16;1;1;bardzo zadowolona
+737;17;0;0;Samonośny stanik rzeczywiście sam się trzyma z czego
+737;18;0;0;.
+737;19;-1;0;co jest niekomfortowe
+737;20;0;0;się
+737;21;1;1;Samonośny stanik rzeczywiście sam się trzyma z czego jestem bardzo zadowolona jednak przy dużym i energicznym ruchu
+737;22;0;0;Samonośny stanik rzeczywiście sam się trzyma z czego jestem bardzo zadowolona jednak przy dużym i energicznym ruchu odczepia się co jest niekomfortowe .
+324;0;1;0;ognistym
+324;1;0;0;ognistym kolorze
+324;2;0;0;.
+324;3;0;0;w ognistym kolorze
+324;4;0;0;Buteleczka w ognistym kolorze .
+892;0;1;1;rewelacyjny
+892;1;0;0;m
+892;2;0;0;wyciągi
+892;3;1;1;rewelacyjny zapach
+892;4;0;0;.
+892;5;0;1;zawiera wyciągi m
+892;6;0;0;,
+892;7;1;1;Ma rewelacyjny zapach
+892;8;0;0;Ma rewelacyjny zapach , gdyż zawiera wyciągi m .
+1159;0;0;0;bardzo
+1159;1;0;1;bardzo wysoką
+1159;2;-1;-1;bardzo wysoką cenę
+1159;3;-1;0;na bardzo wysoką cenę
+1159;4;0;0;względu
+1159;5;0;0;,
+1159;6;0;0;tej
+1159;7;0;0;m
+1159;8;0;0;,
+1159;9;0;0;nie
+1159;10;0;0;.
+1159;11;-1;0;, ze względu na bardzo wysoką cenę
+1159;12;0;0;tej wody
+1159;13;0;0;by m
+1159;14;0;0;nie
+1159;15;0;0;nigdy
+1159;16;0;0;pewnie
+1159;17;-1;0;nie promocja ,
+1159;18;0;0;Gdyby
+1159;19;0;0;Gdyby nie promocja , pewnie nigdy nie kupił by m tej wody , ze względu na bardzo wysoką cenę .
+609;0;0;0;.
+609;1;1;1;ciekawym
+609;2;0;0;M .
+609;3;0;0;.
+609;4;0;1;ciekawym przypadkiem
+609;5;0;0;Kazio M .
+609;6;0;1;Kazio M . jest ciekawym przypadkiem .
+1044;0;0;0;kobiet
+1044;1;1;1;pozytywne
+1044;2;0;0;od kobiet
+1044;3;1;0;pozytywne opinie
+1044;4;1;0;słyszę pozytywne opinie od kobiet
+1044;5;0;0;często
+1044;6;0;0;wiec
+1044;7;0;0;PUA
+1044;8;0;0;.
+1044;9;1;0;PUA , wiec często słyszę pozytywne opinie od kobiet
+1044;10;0;0;się
+1044;11;0;0;Zajmuje się PUA , wiec często słyszę pozytywne opinie od kobiet .
+1090;0;0;0;wieczór
+1090;1;0;0;codzień
+1090;2;0;0;na wieczór
+1090;3;0;0;.
+1090;4;0;0;na codzień
+1090;5;1;1;Odpowiedni na wieczór
+1090;6;0;0;Odpowiedni na wieczór i na codzień .
+11;0;0;0;rynku
+11;1;0;0;na rynku
+11;2;0;-1;lider na rynku
+11;3;0;0;jako lider na rynku
+11;4;0;0;postrzeganym jako lider na rynku
+11;5;0;0;bycia postrzeganym jako lider na rynku
+11;6;0;0;ta
+11;7;0;0;.
+11;8;0;0;ambicję bycia postrzeganym jako lider na rynku
+11;9;0;0;ciągle
+11;10;0;0;Firma ta
+11;11;0;0;Firma ta ciągle ma ambicję bycia postrzeganym jako lider na rynku .
+132;0;0;0;świeżości
+132;1;0;0;lekką
+132;2;1;0;lekką dozą świeżości
+132;3;0;0;.
+132;4;1;0;z lekką dozą świeżości
+132;5;1;1;Klasyczna
+132;6;0;0;Klasyczna nuta z lekką dozą świeżości .
+257;0;0;0;pociągającą
+257;1;1;1;intensywną
+257;2;0;0;swoim
+257;3;1;0;intensywną pociągającą wonią
+257;4;0;0;i
+257;5;0;0;swoim wyglądem
+257;6;0;0;.
+257;7;1;0;swoim wyglądem jak i intensywną pociągającą wonią
+257;8;0;1;Kusi swoim wyglądem jak i intensywną pociągającą wonią .
+220;0;0;0;piersi
+220;1;1;1;dobrze
+220;2;0;0;Bardzo
+220;3;0;0;.
+220;4;0;0;podtrzymuje piersi
+220;5;1;1;Bardzo dobrze modeluje
+220;6;0;0;Bardzo dobrze modeluje i podtrzymuje piersi .
+309;0;0;0;górze
+309;1;0;0;ku górze
+309;2;-1;0;nadmierni ku górze
+309;3;0;0;się
+309;4;0;0;biustonosz
+309;5;0;0;że
+309;6;0;0;,
+309;7;0;0;to
+309;8;0;0;.
+309;9;-1;0;, że biustonosz unosi się nadmierni ku górze
+309;10;0;0;się
+309;11;0;0;Przez to
+309;12;0;0;Przez to zdarza się , że biustonosz unosi się nadmierni ku górze .
+991;0;0;0;tajemniczość
+991;1;0;0;zmysłowość
+991;2;1;0;zmysłowość i tajemniczość
+991;3;0;0;idealnie
+991;4;0;0;,
+991;5;0;0;wieczór
+991;6;0;0;.
+991;7;1;0;, idealnie podkreśla zmysłowość i tajemniczość
+991;8;0;0;na wieczór
+991;9;1;1;świetnie
+991;10;0;0;on
+991;11;0;0;się
+991;12;0;0;Nadaje się on świetnie na wieczór , idealnie podkreśla zmysłowość i tajemniczość .
+973;0;0;0;marek
+973;1;0;0;tego
+973;2;0;0;tego typu marek
+973;3;0;0;zapachów tego typu marek
+973;4;0;0;do zapachów tego typu marek
+973;5;0;0;.
+973;6;0;1;porównując do zapachów tego typu marek
+973;7;1;1;przystępna
+973;8;0;1;Cena przystępna porównując do zapachów tego typu marek .
+614;0;0;0;Versace
+614;1;1;1;Najlepszy
+614;2;0;0;.
+614;3;0;0;dotąd
+614;4;1;1;Najlepszy zapach Versace
+614;5;0;0;Najlepszy zapach Versace jak dotąd .
+1087;0;1;1;młodych
+1087;1;0;0;młodych osób
+1087;2;0;0;.
+1087;3;0;0;dla młodych osób
+1087;4;0;0;się
+1087;5;0;0;Nadaje się dla młodych osób .
+318;0;0;0;swoim
+318;1;0;0;swoim rodziaju
+318;2;0;0;w swoim rodziaju
+318;3;1;0;jedyny w swoim rodziaju
+318;4;1;0;, jedyny w swoim rodziaju
+318;5;1;1;niepowtarzalny
+318;6;1;1;zapach niepowtarzalny , jedyny w swoim rodziaju
+318;7;1;1;to zapach niepowtarzalny , jedyny w swoim rodziaju
+318;8;0;0;.
+318;9;1;1;, to zapach niepowtarzalny , jedyny w swoim rodziaju
+318;10;0;0;J'adore
+318;11;0;0;J'adore Diora , to zapach niepowtarzalny , jedyny w swoim rodziaju .
+778;0;1;1;niepospolitym
+778;1;1;0;niepospolitym zapachu
+778;2;0;0;.
+778;3;1;0;o niepospolitym zapachu
+778;4;0;0;Perfumy o niepospolitym zapachu .
+693;0;0;0;którą
+693;1;0;0;którą widać
+693;2;0;0;koszulce
+693;3;0;0;główną
+693;4;0;0;pod którą widać
+693;5;0;0;w koszulce
+693;6;1;1;główną atrakcję
+693;7;0;0;stanik
+693;8;0;0;dyskotekę w koszulce pod którą widać
+693;9;1;0;stanik jako główną atrakcję
+693;10;0;0;na dyskotekę w koszulce pod którą widać
+693;11;1;0;iść na dyskotekę w koszulce pod którą widać stanik jako główną atrakcję
+693;12;0;0;,
+693;13;0;0;lato
+693;14;0;0;.
+693;15;1;0;, można iść na dyskotekę w koszulce pod którą widać stanik jako główną atrakcję
+693;16;0;0;na lato
+693;17;1;1;Idealny na lato , można iść na dyskotekę w koszulce pod którą widać stanik jako główną atrakcję .
+1076;0;0;0;lato
+1076;1;0;0;na lato
+1076;2;0;0;bardzo
+1076;3;0;0;.
+1076;4;1;1;rewelacyjny na lato
+1076;5;0;0;odświeżający
+1076;6;0;0;,
+1076;7;0;0;bardzo specyficzny
+1076;8;0;0;bardzo specyficzny , odświeżający , rewelacyjny na lato .
+117;0;0;0;weekendu
+117;1;0;0;spędzenie weekendu
+117;2;0;0;na spędzenie weekendu
+117;3;1;1;znakomite
+117;4;0;0;.
+117;5;0;1;znakomite miejsce na spędzenie weekendu
+117;6;0;0;-
+117;7;0;0;- To znakomite miejsce na spędzenie weekendu .
+1061;0;0;0;owocowy
+1061;1;1;1;słodki
+1061;2;0;0;słodki - owocowy
+1061;3;0;0;.
+1061;4;0;0;słodki - owocowy zapach
+1061;5;0;0;Perfumy
+1061;6;0;0;Perfumy mają słodki - owocowy zapach .
+710;0;1;0;aktywnymi
+710;1;0;0;osobami aktywnymi
+710;2;0;0;.
+710;3;0;0;z osobami aktywnymi
+710;4;0;0;raczej
+710;5;0;0;się
+710;6;0;0;mi
+710;7;0;0;Kojarzy mi się raczej z osobami aktywnymi .
+713;0;0;0;noszenia
+713;1;0;0;do noszenia
+713;2;0;0;nie
+713;3;1;1;przyjemny do noszenia
+713;4;0;0;Biustonosz
+713;5;0;0;.
+713;6;0;-1;nie uwiera
+713;7;1;1;Biustonosz jest przyjemny do noszenia
+713;8;0;0;Biustonosz jest przyjemny do noszenia i nie uwiera .
+1085;0;1;1;dojrzałych
+1085;1;0;0;dojrzałych mężczyzn
+1085;2;0;0;.
+1085;3;0;0;dla dojrzałych mężczyzn
+1085;4;0;0;Perfumy dla dojrzałych mężczyzn .
+219;0;0;0;polecenia
+219;1;0;0;ten
+219;2;1;1;wart polecenia
+219;3;0;0;ten produkt
+219;4;0;0;że
+219;5;0;0;,
+219;6;0;0;.
+219;7;1;1;, że ten produkt jest wart polecenia
+219;8;0;0;Naprawdę
+219;9;0;0;Naprawdę uważam , że ten produkt jest wart polecenia .
+934;0;0;0;NIE
+934;1;-1;0;pewni NIE
+934;2;-1;0;na pewni NIE
+934;3;1;1;wytrawnych
+934;4;0;0;.
+934;5;-1;0;wytrawnych kobiet na pewni NIE
+934;6;0;0;Dla wytrawnych kobiet na pewni NIE .
+916;0;0;0;najbardziej
+916;1;0;1;najbardziej świeża
+916;2;0;0;pierwsza
+916;3;0;0;pierwsza , najbardziej świeża
+916;4;0;0;dzwonka
+916;5;0;0;pierwsza , najbardziej świeża nuta
+916;6;0;0;kwiat dzwonka
+916;7;0;0;Cytrusowe
+916;8;0;0;.
+916;9;0;0;kwiat dzwonka to pierwsza , najbardziej świeża nuta
+916;10;0;0;jabłko
+916;11;0;0;,
+916;12;0;0;Cytrusowe aromaty
+916;13;0;0;Cytrusowe aromaty , jabłko , kwiat dzwonka to pierwsza , najbardziej świeża nuta .
+781;0;0;0;ulubionego
+781;1;0;0;tego
+781;2;1;1;ulubionego koloru
+781;3;0;0;tego produktu
+781;4;0;1;wyboru ulubionego koloru
+781;5;0;0;rozmiarów tego produktu
+781;6;1;1;pełna
+781;7;0;0;także
+781;8;0;1;opcja wyboru ulubionego koloru
+781;9;0;0;Możliwa
+781;10;0;0;.
+781;11;0;0;także pełna gama rozmiarów tego produktu
+781;12;0;0;,
+781;13;0;1;Możliwa jest opcja wyboru ulubionego koloru
+781;14;0;0;Możliwa jest opcja wyboru ulubionego koloru , a także pełna gama rozmiarów tego produktu .
+757;0;0;1;okazyjnej
+757;1;1;1;okazyjnej cenie
+757;2;0;0;tych
+757;3;1;1;w okazyjnej cenie
+757;4;0;0;tych perfum
+757;5;1;1;zakup tych perfum w okazyjnej cenie
+757;6;0;0;liczne
+757;7;1;1;na zakup tych perfum w okazyjnej cenie
+757;8;1;0;liczne promocje
+757;9;0;0;nie
+757;10;1;1;liczne promocje pozwalają na zakup tych perfum w okazyjnej cenie
+757;11;1;1;atrakcyjna
+757;12;0;0;zbyt
+757;13;0;0;nie jest
+757;14;0;0;.
+757;15;0;0;nie jest zbyt atrakcyjna ale liczne promocje pozwalają na zakup tych perfum w okazyjnej cenie
+757;16;0;0;Cena
+757;17;0;0;Cena może nie jest zbyt atrakcyjna ale liczne promocje pozwalają na zakup tych perfum w okazyjnej cenie .
+349;0;0;0;pierwszej
+349;1;1;0;pierwszej jakości
+349;2;0;0;!
+349;3;1;0;produkt pierwszej jakości
+349;4;0;0;Jest
+349;5;0;0;Jest to produkt pierwszej jakości !
+355;0;0;0;Panowie
+355;1;0;0;zakupy Panowie
+355;2;0;0;.
+355;3;0;0;na zakupy Panowie
+355;4;0;0;więc
+355;5;1;1;przyzwoita
+355;6;0;0;Cena przyzwoita więc na zakupy Panowie .
+898;0;0;0;prezydenckiej
+898;1;0;0;półautorytarnej
+898;2;0;0;półautorytarnej republiki prezydenckiej
+898;3;0;0;ramy półautorytarnej republiki prezydenckiej
+898;4;0;1;Młoda
+898;5;0;0;.
+898;6;0;0;w ramy półautorytarnej republiki prezydenckiej
+898;7;1;0;siłą
+898;8;0;1;została
+898;9;0;0;Młoda demokracja
+898;10;0;0;Młoda demokracja została siłą wtłoczona w ramy półautorytarnej republiki prezydenckiej .
+561;0;0;0;drogowych
+561;1;0;0;samochodów
+561;2;0;0;znaków drogowych
+561;3;0;0;budynków
+561;4;0;0;policjantów
+561;5;0;0;innych
+561;6;0;0;minimalnym
+561;7;-1;-1;niszczenie samochodów
+561;8;0;0;wyrywanie znaków drogowych
+561;9;0;0;,
+561;10;0;0;okupowanie budynków
+561;11;0;0;,
+561;12;-1;0;bicie policjantów
+561;13;0;0;polską
+561;14;0;0;innych ludzi
+561;15;0;0;minimalnym stopniu
+561;16;1;1;spokoju
+561;17;0;0;bicie policjantów , okupowanie budynków , wyrywanie znaków drogowych czy niszczenie samochodów
+561;18;1;0;polską normą
+561;19;0;0;nie
+561;20;0;0;żeby
+561;21;0;0;życie innych ludzi
+561;22;0;0;w minimalnym stopniu
+561;23;0;0;żeby
+561;24;0;0;w spokoju
+561;25;0;0;się
+561;26;0;0;demonstracje
+561;27;0;0;żeby
+561;28;0;0;,
+561;29;0;0;żeby nie było polską normą bicie policjantów , okupowanie budynków , wyrywanie znaków drogowych czy niszczenie samochodów
+561;30;-1;0;żeby w minimalnym stopniu zakłócały życie innych ludzi
+561;31;0;0;,
+561;32;0;0;, żeby demonstracje odbywały się w spokoju
+561;33;0;0;, żeby demonstracje odbywały się w spokoju , żeby w minimalnym stopniu zakłócały życie innych ludzi i żeby nie było polską normą bicie policjantów , okupowanie budynków , wyrywanie znaków drogowych czy niszczenie samochodów
+561;34;0;0;to , żeby demonstracje odbywały się w spokoju , żeby w minimalnym stopniu zakłócały życie innych ludzi i żeby nie było polską normą bicie policjantów , okupowanie budynków , wyrywanie znaków drogowych czy niszczenie samochodów
+561;35;0;0;.
+561;36;0;0;o to , żeby demonstracje odbywały się w spokoju , żeby w minimalnym stopniu zakłócały życie innych ludzi i żeby nie było polską normą bicie policjantów , okupowanie budynków , wyrywanie znaków drogowych czy niszczenie samochodów
+561;37;0;0;Chodzi o to , żeby demonstracje odbywały się w spokoju , żeby w minimalnym stopniu zakłócały życie innych ludzi i żeby nie było polską normą bicie policjantów , okupowanie budynków , wyrywanie znaków drogowych czy niszczenie samochodów .
+940;0;0;0;wanien
+940;1;1;1;szczęśliwi
+940;2;0;1;szczęśliwi posiadacze wanien
+940;3;0;0;wszelkiej
+940;4;0;1;niż szczęśliwi posiadacze wanien
+940;5;0;0;skąpo
+940;6;0;0;wszelkiej ostrożności
+940;7;0;-1;fatalnych
+940;8;0;0;bardziej skąpo niż szczęśliwi posiadacze wanien
+940;9;0;0;wody
+940;10;0;0;,
+940;11;0;0;zachowaniem wszelkiej ostrożności
+940;12;0;-1;fatalnych brodzików
+940;13;0;0;.
+940;14;0;0;, używając wody bardziej skąpo niż szczęśliwi posiadacze wanien
+940;15;0;0;z zachowaniem wszelkiej ostrożności
+940;16;0;0;się
+940;17;0;1;Posiadacze fatalnych brodzików
+940;18;0;0;Posiadacze fatalnych brodzików kąpią się z zachowaniem wszelkiej ostrożności , używając wody bardziej skąpo niż szczęśliwi posiadacze wanien .
+695;0;0;0;swej
+695;1;0;0;swej wiarygodności
+695;2;0;0;nie
+695;3;0;0;by
+695;4;0;0;,
+695;5;0;0;reżymowym
+695;6;0;-1;, by nie stracić swej wiarygodności
+695;7;0;0;reżymowym nakazom
+695;8;0;0;się
+695;9;0;0;który
+695;10;0;0;,
+695;11;1;1;ciekawy
+695;12;0;0;mądry
+695;13;0;0;, który oparł się reżymowym nakazom , by nie stracić swej wiarygodności
+695;14;0;1;mądry , ciekawy
+695;15;0;0;.
+695;16;0;0;pisarz mądry , ciekawy , który oparł się reżymowym nakazom , by nie stracić swej wiarygodności
+695;17;0;0;bowiem
+695;18;0;0;Był
+695;19;0;0;Był to bowiem pisarz mądry , ciekawy , który oparł się reżymowym nakazom , by nie stracić swej wiarygodności .
+464;0;0;0;ulubionego
+464;1;0;0;tego
+464;2;1;1;ulubionego koloru
+464;3;0;0;tego produktu
+464;4;1;1;wyboru ulubionego koloru
+464;5;0;0;rozmiarów tego produktu
+464;6;1;1;pełna
+464;7;0;0;także
+464;8;1;1;opcja wyboru ulubionego koloru
+464;9;0;0;Możliwa
+464;10;0;0;.
+464;11;0;0;także pełna gama rozmiarów tego produktu
+464;12;0;0;,
+464;13;1;1;Możliwa jest opcja wyboru ulubionego koloru
+464;14;0;0;Możliwa jest opcja wyboru ulubionego koloru , a także pełna gama rozmiarów tego produktu .
+354;0;1;1;silnej
+354;1;0;0;temperamencie
+354;2;0;0;silnej osobowości
+354;3;0;0;silnej osobowości i temperamencie
+354;4;0;0;o silnej osobowości i temperamencie
+354;5;0;0;zdecydowanej o silnej osobowości i temperamencie
+354;6;0;0;.
+354;7;0;0;kobiety zdecydowanej o silnej osobowości i temperamencie
+354;8;0;0;Dla kobiety zdecydowanej o silnej osobowości i temperamencie .
+63;0;0;0;bardzo
+63;1;0;0;bardzo zdecydowany
+63;2;0;0;raczej
+63;3;0;0;.
+63;4;0;0;raczej zapach bardzo zdecydowany
+63;5;0;0;Mademoisella
+63;6;0;0;Coco
+63;7;0;0;Chanel
+63;8;0;0;Chanel Coco Mademoisella to raczej zapach bardzo zdecydowany .
+1157;0;0;0;mężczyzn
+1157;1;0;0;bardzo
+1157;2;0;0;dla mężczyzn
+1157;3;0;0;toaletowa
+1157;4;1;1;bardzo fajna
+1157;5;0;0;Lacoste
+1157;6;0;0;.
+1157;7;1;1;bardzo fajna woda toaletowa dla mężczyzn
+1157;8;0;0;Lacoste Red
+1157;9;0;0;Lacoste Red to bardzo fajna woda toaletowa dla mężczyzn .
+692;0;1;1;dojrzałych
+692;1;0;0;starszych
+692;2;0;0;starszych , dojrzałych
+692;3;0;0;starszych , dojrzałych kobiet
+692;4;0;0;dla starszych , dojrzałych kobiet
+692;5;0;0;stworzony dla starszych , dojrzałych kobiet
+692;6;0;0;się
+692;7;0;0;mi
+692;8;0;0;.
+692;9;0;1;został stworzony dla starszych , dojrzałych kobiet
+692;10;0;0;Wydaje mi się
+692;11;0;0;Wydaje mi się że został stworzony dla starszych , dojrzałych kobiet .
+520;0;0;0;skórze
+520;1;0;0;bardzo
+520;2;0;0;się
+520;3;0;0;nie
+520;4;0;0;na skórze
+520;5;0;0;się
+520;6;0;0;bardzo długo
+520;7;0;0;Zapach
+520;8;0;0;.
+520;9;0;0;nie ściera się
+520;10;0;0;Zapach bardzo długo utrzymuje się na skórze
+520;11;0;0;Zapach bardzo długo utrzymuje się na skórze i nie ściera się .
+742;0;1;1;ciepły
+742;1;1;1;ciepły zapach
+742;2;0;0;zmysłowy
+742;3;0;0;Ta
+742;4;0;0;.
+742;5;1;1;zmysłowy i ciepły zapach
+742;6;0;0;ma
+742;7;0;0;Ta woda
+742;8;0;0;Ta woda perfumowana ma zmysłowy i ciepły zapach .
+860;0;1;1;świetnego
+860;1;0;0;Norwegii
+860;2;0;0;świetnego slalomistę
+860;3;0;0;z Norwegii
+860;4;0;0;Halsnes
+860;5;0;0;.
+860;6;0;0;na świetnego slalomistę
+860;7;0;0;niepostrzeżenie
+860;8;0;0;Jarle Halsnes z Norwegii
+860;9;0;0;Jarle Halsnes z Norwegii niepostrzeżenie wyrósł na świetnego slalomistę .
+665;0;0;0;gości
+665;1;0;0;arbitra
+665;2;0;-1;końcowym
+665;3;0;0;zrozumiała
+665;4;0;0;ekipie gości
+665;5;0;-1;końcowym gwizdku arbitra
+665;6;0;0;.
+665;7;1;-1;zrozumiała euforia
+665;8;0;0;w ekipie gości
+665;9;0;0;Po końcowym gwizdku arbitra
+665;10;0;-1;Po końcowym gwizdku arbitra w ekipie gości zapanowała zrozumiała euforia .
+1083;0;0;0;garnituru
+1083;1;0;0;dresu
+1083;2;0;0;do garnituru
+1083;3;0;0;i
+1083;4;0;0;.
+1083;5;0;0;do dresu
+1083;6;1;0;Pasuje i do garnituru
+1083;7;0;0;Pasuje i do garnituru i do dresu .
+84;0;1;1;młodych
+84;1;0;0;młodych duchem
+84;2;0;0;.
+84;3;0;0;kobiet młodych duchem
+84;4;0;0;Dla kobiet młodych duchem .
+569;0;0;0;nim
+569;1;0;0;.
+569;2;0;0;w nim
+569;3;0;0;się
+569;4;1;1;świetnie
+569;5;0;0;Piersi
+569;6;0;1;Piersi świetnie się w nim układają .
+838;0;0;0;sejsmicznej
+838;1;1;1;silnej
+838;2;0;0;silnej aktywności sejsmicznej
+838;3;0;0;strefie silnej aktywności sejsmicznej
+838;4;0;0;Molise
+838;5;0;0;w strefie silnej aktywności sejsmicznej
+838;6;0;0;region Molise
+838;7;0;0;że
+838;8;0;0;,
+838;9;0;0;, że region Molise leży w strefie silnej aktywności sejsmicznej
+838;10;0;0;wszyscy
+838;11;0;0;włoskich
+838;12;0;0;wszyscy wiedzą , że region Molise leży w strefie silnej aktywności sejsmicznej
+838;13;0;0;,
+838;14;0;-1;słabe
+838;15;0;0;,
+838;16;0;0;włoskich ekspertów
+838;17;0;0;.
+838;18;0;0;, ponieważ wszyscy wiedzą , że region Molise leży w strefie silnej aktywności sejsmicznej
+838;19;0;-1;słabe tłumaczenie
+838;20;0;0;jest
+838;21;0;0;Zdaniem włoskich ekspertów ,
+838;22;0;0;Zdaniem włoskich ekspertów , jest to słabe tłumaczenie , ponieważ wszyscy wiedzą , że region Molise leży w strefie silnej aktywności sejsmicznej .
+510;0;0;0;skórę
+510;1;-1;-1;gryzący
+510;2;0;0;materiał
+510;3;0;0;w skórę
+510;4;0;0;się
+510;5;0;0;Fiszbiny
+510;6;0;0;.
+510;7;-1;0;materiał jest gryzący
+510;8;0;0;,
+510;9;0;0;Fiszbiny wbijają się w skórę
+510;10;0;0;Fiszbiny wbijają się w skórę , a materiał jest gryzący .
+986;0;1;1;śliczne
+986;1;0;0;kokardkę
+986;2;1;1;śliczne koronki
+986;3;1;1;śliczne koronki i kokardkę
+986;4;0;0;Ładnie
+986;5;0;0;.
+986;6;1;1;ma śliczne koronki i kokardkę
+986;7;1;1;Ładnie wygląda
+986;8;0;0;Ładnie wygląda i ma śliczne koronki i kokardkę .
+619;0;1;1;sympatyczna
+619;1;0;1;spokojna
+619;2;0;1;spokojna , sympatyczna
+619;3;0;1;spokojna , sympatyczna atmosfera
+619;4;0;0;przestronnie
+619;5;0;0;.
+619;6;0;1;panowała spokojna , sympatyczna atmosfera
+619;7;0;0;Było przestronnie
+619;8;0;0;Było przestronnie , panowała spokojna , sympatyczna atmosfera .
+107;0;0;0;już
+107;1;0;0;już 3
+107;2;0;0;już 3 raz
+107;3;0;0;tą
+107;4;0;0;tą wodę już 3 raz
+107;5;0;0;Lacoste
+107;6;0;0;"
+107;7;0;0;toaletowej
+107;8;0;0;" Lacoste Essential"Mam tą wodę już 3 raz
+107;9;0;0;wody toaletowej
+107;10;0;0;bardzo
+107;11;0;0;niej
+107;12;0;0;kupna wody toaletowej " Lacoste Essential"Mam tą wodę już 3 raz
+107;13;1;1;bardzo zadowolony
+107;14;0;0;z niej
+107;15;0;0;do kupna wody toaletowej " Lacoste Essential"Mam tą wodę już 3 raz
+107;16;0;0;.
+107;17;1;1;jestem z niej bardzo zadowolony
+107;18;1;1;Zachęcam do kupna wody toaletowej " Lacoste Essential"Mam tą wodę już 3 raz
+107;19;0;0;Zachęcam do kupna wody toaletowej " Lacoste Essential"Mam tą wodę już 3 raz i jestem z niej bardzo zadowolony .
+704;0;0;0;samej
+704;1;0;1;samej siebie
+704;2;0;1;od samej siebie
+704;3;0;0;duszy
+704;4;0;-1;ucieczki od samej siebie
+704;5;0;0;głębi duszy
+704;6;0;0;.
+704;7;1;1;pragnienie ucieczki od samej siebie
+704;8;0;0;w głębi duszy
+704;9;0;0;w głębi duszy tłumisz pragnienie ucieczki od samej siebie .
+1012;0;0;0;byłych
+1012;1;0;0;byłych pisowców
+1012;2;-1;0;platformersów
+1012;3;0;0;platformersów i byłych pisowców
+1012;4;1;0;z platformersów i byłych pisowców
+1012;5;0;0;postkomuch
+1012;6;0;0;złożona z platformersów i byłych pisowców
+1012;7;0;0;egzotyczna
+1012;8;0;0;to postkomuch
+1012;9;0;0;,
+1012;10;0;0;powiatowego
+1012;11;0;0;kłodzkiego
+1012;12;0;0;egzotyczna koalicja złożona z platformersów i byłych pisowców
+1012;13;0;0;powiatem
+1012;14;0;0;, bo to postkomuch
+1012;15;0;0;tu
+1012;16;0;0;nie
+1012;17;0;0;Średzińskiego
+1012;18;0;0;kłodzkiego starostwa powiatowego
+1012;19;0;0;powiatem rządzi egzotyczna koalicja złożona z platformersów i byłych pisowców
+1012;20;0;0;,
+1012;21;1;1;Średzińskiego nie lubią tu , bo to postkomuch
+1012;22;0;0;że
+1012;23;0;0;,
+1012;24;0;0;siedzibie kłodzkiego starostwa powiatowego
+1012;25;0;0;.
+1012;26;0;0;, że Średzińskiego nie lubią tu , bo to postkomuch , a powiatem rządzi egzotyczna koalicja złożona z platformersów i byłych pisowców
+1012;27;0;0;się
+1012;28;0;0;W siedzibie kłodzkiego starostwa powiatowego
+1012;29;0;0;W siedzibie kłodzkiego starostwa powiatowego dowiaduję się , że Średzińskiego nie lubią tu , bo to postkomuch , a powiatem rządzi egzotyczna koalicja złożona z platformersów i byłych pisowców .
+1125;0;0;0;bardzo
+1125;1;0;0;.
+1125;2;1;1;bardzo fajny
+1125;3;0;0;Biustonosz
+1125;4;0;1;Biustonosz jest bardzo fajny .
+101;0;1;0;ślicznego
+101;1;1;0;ślicznego wyglądu
+101;2;0;0;.
+101;3;1;1;biustowi ślicznego wyglądu
+101;4;0;0;Nadaje biustowi ślicznego wyglądu .
+1132;0;0;0;kobiecy
+1132;1;0;0;.
+1132;2;0;0;kobiecy biustonosz
+1132;3;1;1;ładny
+1132;4;0;0;Bardzo
+1132;5;0;1;Bardzo ładny i kobiecy biustonosz .
+534;0;0;0;dziewczyny
+534;1;0;0;dla dziewczyny
+534;2;0;0;prezent dla dziewczyny
+534;3;0;0;.
+534;4;0;0;na prezent dla dziewczyny
+534;5;1;1;Polecam na prezent dla dziewczyny .
+258;0;0;1;kuszący
+258;1;0;0;bardzo
+258;2;0;0;.
+258;3;0;1;kuszący biustonosz
+258;4;1;0;bardzo zmysłowy
+258;5;1;1;Niepowtarzalny
+258;6;0;1;Niepowtarzalny bardzo zmysłowy i kuszący biustonosz .
+773;0;0;1;specyficzny
+773;1;1;0;mocny
+773;2;0;0;ma
+773;3;0;0;mocny , specyficzny
+773;4;0;0;perfumowana ma
+773;5;0;0;.
+773;6;0;1;perfumowana ma mocny , specyficzny zapach
+773;7;0;0;ta
+773;8;0;0;ta woda perfumowana ma mocny , specyficzny zapach .
+773;9;0;1;że ta woda perfumowana ma mocny , specyficzny zapach .
+773;10;0;1;, że ta woda perfumowana ma mocny , specyficzny zapach .
+773;11;0;0;powiedzieć
+773;12;0;0;Napewno
+773;13;0;0;Napewno mogę powiedzieć , że ta woda perfumowana ma mocny , specyficzny zapach .
+163;0;0;0;odpowiednio
+163;1;0;0;go
+163;2;1;1;odpowiednio podtrzyma
+163;3;0;0;ukryje go
+163;4;0;0;biustu
+163;5;0;0;nie
+163;6;0;0;raczej
+163;7;0;0;Stanik
+163;8;0;0;.
+163;9;1;1;ukryje go i odpowiednio podtrzyma
+163;10;0;0;,
+163;11;0;0;Stanik raczej nie wyeksponuje biustu
+163;12;0;0;Stanik raczej nie wyeksponuje biustu , a ukryje go i odpowiednio podtrzyma .
+179;0;0;0;innych
+179;1;0;0;innych perfum
+179;2;0;0;dla innych perfum
+179;3;-1;-1;ciężkim
+179;4;0;0;mnie
+179;5;0;0;ciężkim rywalem dla innych perfum
+179;6;0;0;to
+179;7;0;0;dla mnie
+179;8;0;0;.
+179;9;0;0;dla mnie to jest ciężkim rywalem dla innych perfum
+179;10;0;0;Lecz
+179;11;0;0;Lecz jak dla mnie to jest ciężkim rywalem dla innych perfum .
+602;0;0;0;Włoszczowskiego
+602;1;0;0;Jędrzejowskiego
+602;2;0;0;Jędrzejowskiego i Włoszczowskiego
+602;3;0;0;Gminnym
+602;4;0;0;Regionu Jędrzejowskiego i Włoszczowskiego
+602;5;0;0;Małogoszczu
+602;6;0;0;- Gminnym
+602;7;0;1;Miss Regionu Jędrzejowskiego i Włoszczowskiego
+602;8;0;0;w Małogoszczu
+602;9;0;0;Kultury
+602;10;0;0;Miejsko - Gminnym
+602;11;0;1;pięknych
+602;12;0;1;tytuł Miss Regionu Jędrzejowskiego i Włoszczowskiego
+602;13;0;0;Miejsko - Gminnym Ośrodku Kultury w Małogoszczu
+602;14;0;0;pięknych dziewcząt
+602;15;0;0;.
+602;16;0;1;o tytuł Miss Regionu Jędrzejowskiego i Włoszczowskiego
+602;17;0;0;w Miejsko - Gminnym Ośrodku Kultury w Małogoszczu
+602;18;0;0;Sześć pięknych dziewcząt
+602;19;0;0;Sześć pięknych dziewcząt rywalizowało w Miejsko - Gminnym Ośrodku Kultury w Małogoszczu o tytuł Miss Regionu Jędrzejowskiego i Włoszczowskiego .
+851;0;0;0;kierowców
+851;1;-1;0;winy kierowców
+851;2;-1;0;wypadków
+851;3;0;0;z winy kierowców
+851;4;0;0;większość wypadków
+851;5;0;0;większość wypadków wynika z winy kierowców
+851;6;0;0;,
+851;7;0;0;jednak
+851;8;0;0;to
+851;9;0;0;.
+851;10;0;0;, bo większość wypadków wynika z winy kierowców
+851;11;0;-1;to jednak zmienić
+851;12;0;0;Trudno to jednak zmienić , bo większość wypadków wynika z winy kierowców .
+599;0;0;0;wody
+599;1;0;0;200
+599;2;0;0;który
+599;3;0;0;,
+599;4;0;0;.
+599;5;0;0;ml wody
+599;6;0;0;, który mieści 200
+599;7;0;0;flakonu
+599;8;1;1;Ciekawa
+599;9;0;0;Ciekawa kolorystyka flakonu , który mieści 200 ml wody .
+118;0;0;0;Japonią
+118;1;0;0;z Japonią
+118;2;0;0;Dalekim
+118;3;0;0;wojnie z Japonią
+118;4;0;0;Dalekim Wschodzie
+118;5;0;0;w wojnie z Japonią
+118;6;0;0;na Dalekim Wschodzie
+118;7;0;0;rosyjskie
+118;8;0;0;rewolucyjnym
+118;9;0;0;.
+118;10;-1;-1;klęski rosyjskie na Dalekim Wschodzie w wojnie z Japonią
+118;11;-1;0;Walkom rewolucyjnym
+118;12;0;0;Walkom rewolucyjnym towarzyszyły klęski rosyjskie na Dalekim Wschodzie w wojnie z Japonią .
+433;0;0;0;dużo
+433;1;0;0;bardzo
+433;2;-1;-1;za dużo
+433;3;0;0;go
+433;4;0;0;nie
+433;5;0;0;perfum
+433;6;1;1;bardzo dobrze
+433;7;0;0;atomizer
+433;8;0;0;bardzo
+433;9;1;0;nie jest go za dużo
+433;10;1;0;atomizer bardzo dobrze rozpyla perfum
+433;11;1;0;bardzo ładnie
+433;12;0;0;Perfum
+433;13;0;0;.
+433;14;1;0;atomizer bardzo dobrze rozpyla perfum , nie jest go za dużo
+433;15;1;1;Perfum bardzo ładnie pachnie
+433;16;0;0;Perfum bardzo ładnie pachnie , atomizer bardzo dobrze rozpyla perfum , nie jest go za dużo .
+915;0;0;0;wybitnie
+915;1;0;0;inwencji
+915;2;0;1;ambitny
+915;3;0;1;szlachetny
+915;4;1;1;wybitnie zdolny
+915;5;0;1;pełen inwencji
+915;6;0;0;,
+915;7;0;0;szlachetny i ambitny
+915;8;0;0;,
+915;9;0;1;liberalny
+915;10;0;0;,
+915;11;0;0;szczery
+915;12;0;0;.
+915;13;0;0;szczery , liberalny , szlachetny i ambitny , pełen inwencji , wybitnie zdolny
+915;14;0;0;Jesteś szczery , liberalny , szlachetny i ambitny , pełen inwencji , wybitnie zdolny .
+474;0;0;1;nietypowy
+474;1;1;1;fajny
+474;2;1;1;fajny nietypowy kształcik
+474;3;0;0;wrażenie
+474;4;1;1;fajny nietypowy kształcik Robią
+474;5;0;0;też
+474;6;0;0;flakonik
+474;7;0;0;flakonik też ma fajny nietypowy kształcik Robią wrażenie
+270;0;0;1;późniejsze
+270;1;0;0;jego
+270;2;0;0;jego późniejsze zabójstwo
+270;3;0;0;o jego późniejsze zabójstwo
+270;4;0;0;której
+270;5;0;-1;oskarżeni o jego późniejsze zabójstwo
+270;6;0;0;w której
+270;7;0;0;,
+270;8;0;0;, w której działali oskarżeni o jego późniejsze zabójstwo
+270;9;0;0;przestępczej
+270;10;0;0;grupy przestępczej , w której działali oskarżeni o jego późniejsze zabójstwo
+270;11;0;0;.
+270;12;0;0;członkiem grupy przestępczej , w której działali oskarżeni o jego późniejsze zabójstwo
+270;13;0;0;Trzynastolatek
+270;14;0;0;Trzynastolatek był członkiem grupy przestępczej , w której działali oskarżeni o jego późniejsze zabójstwo .
+362;0;0;0;bardzo
+362;1;0;0;tajemniczy
+362;2;1;1;bardzo ładny
+362;3;1;1;bardzo ładny , tajemniczy
+362;4;0;0;te
+362;5;0;0;.
+362;6;1;1;bardzo ładny , tajemniczy zapach
+362;7;0;0;Perfumy te
+362;8;0;0;Perfumy te mają bardzo ładny , tajemniczy zapach .
+189;0;1;1;atrakcyjny
+189;1;0;0;.
+189;2;1;1;atrakcyjny design
+189;3;0;0;Buteleczka
+189;4;0;0;Buteleczka posiada atrakcyjny design .
+536;0;0;0;flakonika
+536;1;1;1;oszczędny
+536;2;0;0;.
+536;3;0;0;oszczędny design flakonika
+536;4;0;0;się
+536;5;0;0;mi
+536;6;0;1;Podoba mi się oszczędny design flakonika .
+785;0;0;0;pamięć
+785;1;0;0;w pamięć
+785;2;0;0;który
+785;3;0;0;,
+785;4;0;1;charakterystyczny
+785;5;1;0;oryginalny
+785;6;0;0;bardzo
+785;7;0;0;, który zapada w pamięć
+785;8;1;0;bardzo oryginalny i charakterystyczny
+785;9;0;0;Euphoria
+785;10;0;0;.
+785;11;1;0;bardzo oryginalny i charakterystyczny zapach , który zapada w pamięć
+785;12;0;0;CK Euphoria
+785;13;0;0;CK Euphoria to bardzo oryginalny i charakterystyczny zapach , który zapada w pamięć .
+594;0;0;0;swego
+594;1;0;0;swego gatunku
+594;2;0;0;innych
+594;3;0;0;innych zwierząt swego gatunku
+594;4;0;0;do innych zwierząt swego gatunku
+594;5;0;0;całymi
+594;6;0;0;wspólne
+594;7;0;0;bardzo
+594;8;0;0;stosunku do innych zwierząt swego gatunku
+594;9;0;0;całymi koloniami
+594;10;0;0;nory wspólne
+594;11;1;0;bardzo towarzyski
+594;12;0;0;w stosunku do innych zwierząt swego gatunku
+594;13;0;0;.
+594;14;0;1;żyje całymi koloniami
+594;15;0;0;zajmuje nory wspólne
+594;16;0;0;,
+594;17;0;0;jest w stosunku do innych zwierząt swego gatunku bardzo towarzyski
+594;18;0;0;Królik
+594;19;0;0;Królik jest w stosunku do innych zwierząt swego gatunku bardzo towarzyski , zajmuje nory wspólne i żyje całymi koloniami .
+428;0;1;1;estetyczny
+428;1;0;0;czarny
+428;2;1;1;estetyczny wygląd
+428;3;0;0;mu
+428;4;0;0;czarny co
+428;5;1;1;czarny co daje mu estetyczny wygląd
+428;6;0;0;biały
+428;7;0;0;nim
+428;8;0;0;które
+428;9;0;0;.
+428;10;1;0;biały i czarny co daje mu estetyczny wygląd
+428;11;0;0;użyte
+428;12;0;0;w nim
+428;13;0;0;zostały
+428;14;0;0;Kolory które
+428;15;0;0;Kolory które zostały w nim użyte to biały i czarny co daje mu estetyczny wygląd .
+1091;0;0;0;toaletce
+1091;1;0;0;na toaletce
+1091;2;0;0;wyeksponowanego na toaletce
+1091;3;0;0;go wyeksponowanego na toaletce
+1091;4;0;0;mieć go wyeksponowanego na toaletce
+1091;5;0;0;się
+1091;6;1;1;przepiękny
+1091;7;0;0;.
+1091;8;0;0;się chce mieć go wyeksponowanego na toaletce
+1091;9;1;1;Flakonik przepiękny
+1091;10;0;0;Flakonik przepiękny aż się chce mieć go wyeksponowanego na toaletce .
+987;0;0;0;push
+987;1;0;0;piersi
+987;2;1;0;podnosić
+987;3;0;0;efekt push
+987;4;0;0;ściąga piersi
+987;5;0;0;zamiast podnosić
+987;6;0;0;nie
+987;7;0;0;up
+987;8;0;1;tzw efekt push
+987;9;0;0;.
+987;10;0;0;zamiast podnosić tylko ściąga piersi
+987;11;0;0;tzw efekt push up nie występuje
+987;12;0;0;a
+987;13;0;0;a tzw efekt push up nie występuje bo zamiast podnosić tylko ściąga piersi .
+1146;0;0;0;Gabbana
+1146;1;0;0;jaką
+1146;2;1;1;renomowanej
+1146;3;0;0;& Gabbana
+1146;4;1;0;renomowanej marki jaką
+1146;5;0;0;toaletowa
+1146;6;0;0;.
+1146;7;0;1;Dolce & Gabbana
+1146;8;1;0;Woda toaletowa renomowanej marki jaką
+1146;9;0;0;Woda toaletowa renomowanej marki jaką jest Dolce & Gabbana .
+447;0;0;0;moim
+447;1;0;-1;moim mężczyźnie
+447;2;0;0;.
+447;3;0;0;na moim mężczyźnie
+447;4;0;0;go
+447;5;0;0;bardzo
+447;6;0;0;I
+447;7;1;1;I bardzo lubię go na moim mężczyźnie .
+435;0;1;1;prześliczny
+435;1;0;0;sobie
+435;2;0;0;niczego
+435;3;1;0;Gabana niczego sobie prześliczny
+435;4;0;0;.
+435;5;1;1;Gabana niczego sobie prześliczny zapach
+435;6;0;0;Dolce& Gabana niczego sobie prześliczny zapach .
+1058;0;1;1;przystępna
+1058;1;0;0;Duża
+1058;2;0;0;.
+1058;3;1;-1;przystępna cena
+1058;4;0;0;Duża butelka
+1058;5;0;0;Duża butelka i przystępna cena .
+87;0;1;1;wyjątkowej
+87;1;0;0;.
+87;2;1;1;wyjątkowej butelce
+87;3;0;0;W wyjątkowej butelce .
+535;0;0;0;prezent
+535;1;0;0;na prezent
+535;2;0;0;się
+535;3;1;1;nieźle
+535;4;0;0;również
+535;5;1;0;również nieźle nadaje się na prezent
+535;6;0;0;,
+535;7;0;0;pudełeczko
+535;8;0;0;!
+535;9;1;0;, że również nieźle nadaje się na prezent
+535;10;0;0;pudełeczko sprawia
+535;11;0;0;fajnie
+535;12;0;0;Całkiem
+535;13;0;0;Całkiem fajnie zaprojektowane pudełeczko sprawia , że również nieźle nadaje się na prezent !
+684;0;0;0;naszym
+684;1;0;0;naszym rynku
+684;2;0;0;na naszym rynku
+684;3;0;0;męskich
+684;4;1;1;najlepszych
+684;5;1;1;najlepszych męskich perfumów na naszym rynku
+684;6;1;1;z najlepszych męskich perfumów na naszym rynku
+684;7;1;1;jeden z najlepszych męskich perfumów na naszym rynku
+684;8;1;-1;to jeden z najlepszych męskich perfumów na naszym rynku
+684;9;0;0;że
+684;10;0;0;,
+684;11;0;0;.
+684;12;1;0;, że jest to jeden z najlepszych męskich perfumów na naszym rynku
+684;13;0;0;Uważam , że jest to jeden z najlepszych męskich perfumów na naszym rynku .
+929;0;0;0;Sylwestra
+929;1;0;0;codzień
+929;2;0;0;na Sylwestra
+929;3;1;1;elegancką
+929;4;0;0;na codzień
+929;5;0;0;się
+929;6;0;0;doskonale
+929;7;0;0;się
+929;8;0;1;elegancką bluzkę na Sylwestra
+929;9;1;1;doskonale się sprawdza na codzień
+929;10;0;0;,
+929;11;0;0;okazało się
+929;12;0;0;pod elegancką bluzkę na Sylwestra
+929;13;0;0;go
+929;14;0;0;że
+929;15;0;0;,
+929;16;1;0;okazało się , że doskonale się sprawdza na codzień
+929;17;0;0;,
+929;18;0;0;, że włożę go pod elegancką bluzkę na Sylwestra
+929;19;0;0;myślą
+929;20;0;0;.
+929;21;1;1;, że włożę go pod elegancką bluzkę na Sylwestra , ale okazało się , że doskonale się sprawdza na codzień
+929;22;0;0;z myślą
+929;23;0;0;go
+929;24;0;0;m
+929;25;0;0;Kupiła m go z myślą , że włożę go pod elegancką bluzkę na Sylwestra , ale okazało się , że doskonale się sprawdza na codzień .
+243;0;0;0;życia
+243;1;0;0;czego
+243;2;0;0;która
+243;3;0;0;,
+243;4;0;0;uwodzicielską
+243;5;1;1;zadbaną
+243;6;0;0;stylową
+243;7;0;0;od życia
+243;8;0;0;, która wie czego
+243;9;0;0;uwodzicielską kobietą
+243;10;1;1;stylową zadbaną i
+243;11;1;0;stylową zadbaną i uwodzicielską kobietą , która wie czego chce od życia
+243;12;0;0;.
+243;13;1;0;ze stylową zadbaną i uwodzicielską kobietą , która wie czego chce od życia
+243;14;0;0;się
+243;15;0;0;Mi
+243;16;0;0;Mi kojarzy się ze stylową zadbaną i uwodzicielską kobietą , która wie czego chce od życia .
+1096;0;1;1;romantyczny
+1096;1;0;0;dyskotekę
+1096;2;0;0;romantyczny wieczór
+1096;3;0;0;na dyskotekę
+1096;4;0;0;i
+1096;5;0;0;na romantyczny wieczór
+1096;6;0;0;zarówno
+1096;7;0;0;.
+1096;8;0;0;zarówno na romantyczny wieczór jak i na dyskotekę
+1096;9;0;0;się
+1096;10;0;0;Nadają się zarówno na romantyczny wieczór jak i na dyskotekę .
+57;0;0;0;taki
+57;1;0;0;taki stanik
+57;2;0;0;ja
+57;3;0;0;mieć taki stanik
+57;4;1;0;ja marzę
+57;5;1;0;ja marzę aby mieć taki stanik
+57;6;0;0;wy
+57;7;0;0;.
+57;8;1;0;wy ale ja marzę aby mieć taki stanik
+57;9;0;0;jak
+57;10;0;0;Nie
+57;11;0;0;Nie wiem jak wy ale ja marzę aby mieć taki stanik .
+907;0;0;0;nawzajem
+907;1;0;0;siebie
+907;2;0;0;o siebie nawzajem
+907;3;0;0;lękiem
+907;4;0;0;troską
+907;5;0;0;.
+907;6;0;0;troską i lękiem o siebie nawzajem
+907;7;0;0;nie
+907;8;1;1;Miłość
+907;9;0;0;Miłość nie jest troską i lękiem o siebie nawzajem .
+574;0;0;0;ją
+574;1;-1;0;ją zabić
+574;2;0;0;lekarze
+574;3;0;0;że
+574;4;0;0;,
+574;5;0;0;.
+574;6;0;0;, że lekarze chcą ją zabić
+574;7;0;0;sobie
+574;8;0;0;Uroiła sobie , że lekarze chcą ją zabić .
+703;0;0;0;gruby
+703;1;0;-1;gruby błąd
+703;2;0;0;,
+703;3;0;0;.
+703;4;-1;-1;błąd , gruby błąd
+703;5;0;0;był
+703;6;0;0;To był błąd , gruby błąd .
+363;0;1;1;wysokiej
+363;1;0;0;100%
+363;2;0;0;Gabbana
+363;3;0;0;&
+363;4;0;0;Dolce
+363;5;0;0;owa
+363;6;0;0;wysokiej ceny
+363;7;0;0;!
+363;8;0;1;warta
+363;9;0;0;w 100%
+363;10;0;0;tego
+363;11;0;0;owa woda Dolce & Gabbana
+363;12;0;1;Mimo wysokiej ceny
+363;13;0;0;Mimo wysokiej ceny owa woda Dolce & Gabbana jest tego w 100% warta !
+286;0;0;0;tego
+286;1;0;0;tego modelu
+286;2;0;0;z tego modelu
+286;3;0;0;lato z tego modelu
+286;4;0;0;dużej
+286;5;0;0;na lato z tego modelu
+286;6;1;1;fajne
+286;7;0;0;jakieś
+286;8;0;0;dużej miseczce
+286;9;0;0;no
+286;10;1;1;jakieś fajne kolorki na lato z tego modelu
+286;11;0;0;o dużej miseczce
+286;12;1;1;wypuści jakieś fajne kolorki na lato z tego modelu no
+286;13;1;1;wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce
+286;14;0;0;moze
+286;15;0;0;p
+286;16;0;0;moze gaia wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce
+286;17;0;0;moze gaia wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce ; p
+248;0;0;0;mnie
+248;1;0;0;się
+248;2;0;0;śmy
+248;3;0;0;wzrok
+248;4;0;0;na mnie
+248;5;0;0;Ariel
+248;6;0;0;.
+248;7;1;0;pocałowali śmy się
+248;8;0;0;Ariel podniósł na mnie wzrok
+248;9;0;0;Ariel podniósł na mnie wzrok i pocałowali śmy się .
+551;0;0;0;wspomnień
+551;1;0;0;,
+551;2;0;0;różnymi
+551;3;0;0;do wspomnień
+551;4;1;1;dobry
+551;5;0;0;różnymi sytuacjami ,
+551;6;0;0;ten
+551;7;1;1;zpach dobry do wspomnień
+551;8;0;0;z różnymi sytuacjami ,
+551;9;0;0;go
+551;10;0;0;ten zapach
+551;11;0;0;się
+551;12;0;0;mi
+551;13;0;0;właśnie
+551;14;0;0;tak
+551;15;0;0;!
+551;16;1;0;wiąże go z różnymi sytuacjami , zpach dobry do wspomnień
+551;17;0;1;tak właśnie kojarzy mi się ten zapach
+551;18;0;0;tak właśnie kojarzy mi się ten zapach i wiąże go z różnymi sytuacjami , zpach dobry do wspomnień !
+358;0;1;1;piękną
+358;1;0;0;jacyś
+358;2;0;1;piękną tradycję
+358;3;0;0;,
+358;4;0;-1;jacyś ekstremiści
+358;5;0;0;.
+358;6;0;0;, niszcząc piękną tradycję
+358;7;0;-1;jak jacyś ekstremiści
+358;8;0;0;się
+358;9;0;0;Zachowują się jak jacyś ekstremiści , niszcząc piękną tradycję .
+954;0;0;0;tego
+954;1;0;0;tego modelu
+954;2;0;0;z tego modelu
+954;3;0;0;lato z tego modelu
+954;4;0;0;dużej
+954;5;0;0;na lato z tego modelu
+954;6;1;1;fajne
+954;7;0;0;jakieś
+954;8;0;0;dużej miseczce
+954;9;0;0;no
+954;10;1;1;jakieś fajne kolorki na lato z tego modelu
+954;11;0;0;o dużej miseczce
+954;12;1;1;wypuści jakieś fajne kolorki na lato z tego modelu no
+954;13;1;1;wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce
+954;14;0;0;moze
+954;15;0;0;p
+954;16;0;0;moze gaia wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce
+954;17;0;0;moze gaia wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce ; p
+722;0;0;0;Ducha
+722;1;0;0;wolni
+722;2;1;0;miłością Ducha
+722;3;0;1;mądrością
+722;4;0;0;,
+722;5;0;0;krwią
+722;6;0;0;,
+722;7;-1;-1;ofiarą
+722;8;0;0;,
+722;9;0;0;modlitwą
+722;10;0;0;,
+722;11;0;0;wiarą
+722;12;0;0;być wolni
+722;13;0;0;nie
+722;14;0;0;wiarą , modlitwą , ofiarą , krwią , mądrością i miłością Ducha
+722;15;0;0;Jesteśmy
+722;16;0;0;.
+722;17;0;0;nie potrafimy być wolni
+722;18;0;0;,
+722;19;0;0;Jesteśmy wyzwoleni wiarą , modlitwą , ofiarą , krwią , mądrością i miłością Ducha
+722;20;0;0;Jesteśmy wyzwoleni wiarą , modlitwą , ofiarą , krwią , mądrością i miłością Ducha , ale nie potrafimy być wolni .
+975;0;0;0;wieczór
+975;1;0;0;,
+975;2;0;0;na wieczór
+975;3;1;1;idealny
+975;4;0;0;.
+975;5;0;0;długo
+975;6;1;1;Perfum idealny na wieczór ,
+975;7;0;0;Perfum idealny na wieczór , długo pachnie .
+960;0;0;0;nim
+960;1;1;1;przyjemnego
+960;2;0;0;pod nim
+960;3;1;1;przyjemnego efektu
+960;4;0;0;to
+960;5;0;0;nie
+960;6;0;0;się
+960;7;0;0;Skóra pod nim
+960;8;0;0;.
+960;9;-1;1;nie dawało to przyjemnego efektu
+960;10;0;0;Skóra pod nim pociła się
+960;11;0;0;Skóra pod nim pociła się i nie dawało to przyjemnego efektu .
+1051;0;1;1;ładny
+1051;1;0;0;.
+1051;2;1;1;ładny haft
+1051;3;0;0;bardzo
+1051;4;0;0;Ma bardzo ładny haft .
+1034;0;1;1;prześliczny
+1034;1;0;0;.
+1034;2;1;1;prześliczny zapach
+1034;3;0;0;i
+1034;4;0;0;.
+1034;5;1;0;. i ma prześliczny zapach .
+1034;6;0;0;. . i ma prześliczny zapach .
+810;0;0;0;mojego
+810;1;0;0;mojego męża
+810;2;0;0;moje
+810;3;0;0;moje i mojego męża
+810;4;1;0;ukochane
+810;5;0;0;.
+810;6;1;1;ukochane perfumy moje i mojego męża
+810;7;0;0;To ukochane perfumy moje i mojego męża .
+908;0;0;0;bardzo
+908;1;0;0;flakonika
+908;2;1;1;bardzo ciekawy
+908;3;0;0;.
+908;4;1;1;bardzo ciekawy design flakonika
+908;5;0;0;również
+908;6;0;0;Uwagę
+908;7;0;0;Uwagę przyciąga również bardzo ciekawy design flakonika .
+405;0;0;0;antyperspirantem
+405;1;0;0;z antyperspirantem
+405;2;0;0;zestawach z antyperspirantem
+405;3;0;0;w zestawach z antyperspirantem
+405;4;0;0;,
+405;5;1;0;Różnorodne
+405;6;0;0;.
+405;7;0;0;często w zestawach z antyperspirantem
+405;8;0;0;ceny ,
+405;9;0;0;Różnorodne pojemności
+405;10;0;0;Różnorodne pojemności i ceny , często w zestawach z antyperspirantem .
+484;0;0;1;pojemny
+484;1;0;1;pojemny kształt
+484;2;1;0;poręczny
+484;3;0;0;.
+484;4;1;1;poręczny i pojemny kształt
+484;5;0;0;Flakonik
+484;6;0;0;Flakonik ma poręczny i pojemny kształt .
+794;0;1;0;skromniejsze
+794;1;0;0;.
+794;2;0;0;skromniejsze kształty
+794;3;0;0;Pięknie
+794;4;0;1;Pięknie podkreśla skromniejsze kształty .
+1014;0;0;0;bardzo
+1014;1;0;0;bardzo wydekoltowanych
+1014;2;0;0;bardzo wydekoltowanych bluzeczek
+1014;3;0;0;Bardzo
+1014;4;0;0;założenie bardzo wydekoltowanych bluzeczek
+1014;5;0;1;Bardzo wysokie
+1014;6;0;0;.
+1014;7;0;0;na założenie bardzo wydekoltowanych bluzeczek
+1014;8;0;0;Bardzo wysokie wycięcie
+1014;9;0;0;Bardzo wysokie wycięcie pozwala na założenie bardzo wydekoltowanych bluzeczek .
+1110;0;0;0;pewnych
+1110;1;1;1;zdecydowanych
+1110;2;1;0;pewnych siebie
+1110;3;1;0;pewnych siebie i zdecydowanych
+1110;4;0;0;.
+1110;5;1;1;kobiet pewnych siebie i zdecydowanych
+1110;6;0;0;Dla kobiet pewnych siebie i zdecydowanych .
+798;0;1;0;oryginalnej
+798;1;0;0;oryginalnej perfumerii
+798;2;0;0;z oryginalnej perfumerii
+798;3;0;0;nie
+798;4;0;0;100%
+798;5;0;0;prezent z oryginalnej perfumerii
+798;6;0;0;nie podróba
+798;7;0;0;na 100%
+798;8;0;0;na prezent z oryginalnej perfumerii
+798;9;0;0;je
+798;10;0;0;m
+798;11;0;0;!
+798;12;0;0;na 100% to nie podróba
+798;13;0;0;,
+798;14;0;0;Dostała m je na prezent z oryginalnej perfumerii
+798;15;0;0;Dostała m je na prezent z oryginalnej perfumerii , więc na 100% to nie podróba !
+579;0;0;0;jednocześnie
+579;1;0;0;który
+579;2;0;0;,
+579;3;-1;-1;odrzuca
+579;4;1;0;, który jednocześnie pociąga
+579;5;0;0;, który jednocześnie pociąga i odrzuca
+579;6;0;0;.
+579;7;0;0;zapach , który jednocześnie pociąga i odrzuca
+579;8;0;0;To zapach , który jednocześnie pociąga i odrzuca .
+1186;0;0;0;Buzka
+1186;1;0;0;Jerzego Buzka
+1186;2;0;0;narodowego
+1186;3;0;0;rządu Jerzego Buzka
+1186;4;0;-1;zaniechania
+1186;5;-1;0;błędy
+1186;6;0;0;imieniu
+1186;7;0;0;interesu narodowego
+1186;8;0;0;pragmatyzmu
+1186;9;0;0;,
+1186;10;0;0;realizmu
+1186;11;0;0;błędy i zaniechania rządu Jerzego Buzka
+1186;12;0;0;po imieniu
+1186;13;0;0;realizmu , pragmatyzmu , interesu narodowego
+1186;14;0;0;.
+1186;15;0;0;nazywać po imieniu błędy i zaniechania rządu Jerzego Buzka
+1186;16;0;0;Poczucie realizmu , pragmatyzmu , interesu narodowego
+1186;17;0;0;Poczucie realizmu , pragmatyzmu , interesu narodowego nakazuje nazywać po imieniu błędy i zaniechania rządu Jerzego Buzka .
+303;0;1;1;nowoczesnym
+303;1;1;1;nowoczesnym flakonie
+303;2;1;1;w nowoczesnym flakonie
+303;3;0;0;.
+303;4;1;1;umieszczone w nowoczesnym flakonie
+303;5;0;0;Perfumy umieszczone w nowoczesnym flakonie .
+410;0;0;0;sznurka
+410;1;0;0;do sznurka
+410;2;0;0;skomplikowanych
+410;3;0;0;przywiązanej do sznurka
+410;4;0;0;skomplikowanych wzorów
+410;5;0;0;.
+410;6;0;0;deski przywiązanej do sznurka
+410;7;0;0;Do skomplikowanych wzorów
+410;8;0;0;Do skomplikowanych wzorów używamy deski przywiązanej do sznurka .
+1106;0;0;0;kobiecy
+1106;1;1;1;śliczny
+1106;2;1;1;śliczny , kobiecy
+1106;3;1;1;śliczny , kobiecy zapach
+1106;4;0;0;prostu
+1106;5;0;0;.
+1106;6;1;1;o prostu śliczny , kobiecy zapach
+480;0;0;0;zmysłowy
+480;1;0;0;.
+480;2;-1;-1;ciężki
+480;3;0;0;,
+480;4;1;1;zapach zmysłowy
+480;5;0;0;zapach zmysłowy , ale ciężki .
+340;0;1;1;znana
+340;1;0;0;.
+340;2;0;0;każdemu
+340;3;0;0;Marka znana
+340;4;0;0;Marka znana jest każdemu .
+888;0;0;0;nich
+888;1;0;0;bardzo
+888;2;0;0;w nich
+888;3;0;0;się
+888;4;0;0;co
+888;5;0;0;bardzo skromne
+888;6;0;0;co się w nich znajduje
+888;7;0;0;tego
+888;8;0;0;nie
+888;9;0;0;zupełnie
+888;10;0;0;flakonik bardzo skromne
+888;11;0;0;Opakowanie
+888;12;0;0;.
+888;13;-1;0;zupełnie nie obrazują tego co się w nich znajduje
+888;14;0;0;Opakowanie i flakonik bardzo skromne
+888;15;0;0;Opakowanie i flakonik bardzo skromne i zupełnie nie obrazują tego co się w nich znajduje .
+889;0;0;0;Polsce
+889;1;0;0;krakowskiej
+889;2;0;0;w Polsce
+889;3;0;0;futbolu
+889;4;0;0;wszystkim
+889;5;1;1;wspaniały
+889;6;0;0;krakowskiej Wisły
+889;7;0;0;.
+889;8;0;0;wszystkim sympatykom futbolu w Polsce
+889;9;0;1;wspaniały prezent
+889;10;0;0;Piłkarze krakowskiej Wisły
+889;11;0;0;Piłkarze krakowskiej Wisły sprawili wspaniały prezent wszystkim sympatykom futbolu w Polsce .
+490;0;0;0;materiału
+490;1;0;0;ciała materiału
+490;2;0;0;dla ciała materiału
+490;3;0;0;bardzo
+490;4;1;1;bardzo miłego dla ciała materiału
+490;5;1;1;z bardzo miłego dla ciała materiału
+490;6;0;0;.
+490;7;1;1;wykonany z bardzo miłego dla ciała materiału
+490;8;0;0;Jest wykonany z bardzo miłego dla ciała materiału .
+608;0;1;1;wygodny
+608;1;0;0;skórze
+608;2;1;1;wygodny flakonik
+608;3;0;0;na skórze
+608;4;0;0;się
+608;5;0;0;Długo
+608;6;0;0;.
+608;7;1;1;ma wygodny flakonik
+608;8;0;0;Długo utrzymuje się na skórze
+608;9;0;1;Długo utrzymuje się na skórze i ma wygodny flakonik .
+972;0;0;0;czynną
+972;1;-1;0;czynną napaść
+972;2;0;-1;sprawców
+972;3;0;0;o czynną napaść
+972;4;0;0;na sprawców
+972;5;0;0;?
+972;6;0;0;doniesienia na sprawców o czynną napaść
+972;7;0;0;pan
+972;8;0;0;nie
+972;9;0;0;Dlaczego
+972;10;0;0;–
+972;11;0;0;– Dlaczego nie złożył pan doniesienia na sprawców o czynną napaść ?
+369;0;0;0;Wielkiego
+369;1;0;0;Palmowej
+369;2;0;0;Wielkiego Czwartku
+369;3;0;0;Niedzieli Palmowej
+369;4;0;0;Niedzieli Palmowej i Wielkiego Czwartku
+369;5;0;0;nabożeństwa Niedzieli Palmowej i Wielkiego Czwartku
+369;6;0;0;nie
+369;7;0;0;który
+369;8;0;0;,
+369;9;0;0;, który nie celebrował nabożeństwa Niedzieli Palmowej i Wielkiego Czwartku
+369;10;0;0;Wielkiego
+369;11;0;0;Papieża , który nie celebrował nabożeństwa Niedzieli Palmowej i Wielkiego Czwartku
+369;12;0;0;Wielkiego Tygodnia
+369;13;0;0;zdrowie Papieża , który nie celebrował nabożeństwa Niedzieli Palmowej i Wielkiego Czwartku
+369;14;0;1;uroczystości Wielkiego Tygodnia
+369;15;0;0;na zdrowie Papieża , który nie celebrował nabożeństwa Niedzieli Palmowej i Wielkiego Czwartku
+369;16;0;1;czasie uroczystości Wielkiego Tygodnia
+369;17;0;0;.
+369;18;0;0;uwagę na zdrowie Papieża , który nie celebrował nabożeństwa Niedzieli Palmowej i Wielkiego Czwartku
+369;19;0;0;W czasie uroczystości Wielkiego Tygodnia
+369;20;0;0;W czasie uroczystości Wielkiego Tygodnia zwracano uwagę na zdrowie Papieża , który nie celebrował nabożeństwa Niedzieli Palmowej i Wielkiego Czwartku .
+96;0;0;0;skóry
+96;1;0;0;niej
+96;2;0;0;dla skóry
+96;3;0;0;Bardzo
+96;4;0;0;.
+96;5;0;0;do niej
+96;6;0;0;idealnie
+96;7;1;1;Bardzo miły dla skóry
+96;8;1;1;Bardzo miły dla skóry idealnie do niej przylega .
+128;0;0;0;wyjścia
+128;1;0;0;.
+128;2;0;0;na wyjścia
+128;3;0;0;Bardziej
+128;4;1;1;Bardziej polecam na wyjścia .
+765;0;0;0;jakby
+765;1;0;0;też
+765;2;0;0;zdziwieniem
+765;3;0;0;nią
+765;4;1;1;też jakby urzeczony
+765;5;0;0;,
+765;6;0;0;ze zdziwieniem
+765;7;0;0;na nią
+765;8;0;0;ręką
+765;9;0;0;ją
+765;10;0;0;,
+765;11;0;1;Gąsowski , też jakby urzeczony
+765;12;0;0;.
+765;13;0;0;spojrzał na nią ze zdziwieniem
+765;14;0;0;podniósł ją ręką
+765;15;0;0;pań Gąsowski , też jakby urzeczony ,
+765;16;0;0;A
+765;17;0;0;A pań Gąsowski , też jakby urzeczony , podniósł ją ręką i spojrzał na nią ze zdziwieniem .
+297;0;1;1;cudowne
+297;1;0;1;cudowne uczucie
+297;2;0;0;jakie
+297;3;0;0;,
+297;4;0;0;,
+297;5;0;0;,
+297;6;0;0;, jakie to cudowne uczucie
+297;7;0;0;wtedy
+297;8;0;0;kochankę
+297;9;0;0;, Madziu ,
+297;10;0;0;sobie
+297;11;0;0;.
+297;12;0;0;zobaczysz wtedy , jakie to cudowne uczucie
+297;13;0;0;Weź sobie , Madziu , kochankę
+297;14;0;0;-
+297;15;0;0;- Weź sobie , Madziu , kochankę , zobaczysz wtedy , jakie to cudowne uczucie .
+650;0;1;1;wygodnego
+650;1;1;1;wygodnego materiału
+650;2;0;0;Ten
+650;3;0;0;.
+650;4;1;1;z wygodnego materiału
+650;5;0;0;został
+650;6;0;0;Ten biustonosz
+650;7;0;0;Ten biustonosz został wykonany z wygodnego materiału .
+573;0;0;1;fajnych
+573;1;0;0;włosy
+573;2;0;1;fajnych rodziców
+573;3;0;0;cztery włosy
+573;4;0;0;kilo
+573;5;0;1;cztery włosy i fajnych rodziców
+573;6;0;0;trzy kilo
+573;7;0;0;.
+573;8;0;0;mam cztery włosy i fajnych rodziców
+573;9;0;0;Ważę trzy kilo
+573;10;0;0;Ważę trzy kilo , mam cztery włosy i fajnych rodziców .
+99;0;0;0;większym
+99;1;0;0;większym dekolcie
+99;2;0;0;.
+99;3;0;0;przy większym dekolcie
+99;4;0;0;się
+99;5;1;1;Dobrze
+99;6;0;1;Dobrze spisuje się przy większym dekolcie .
+498;0;0;0;rynku
+498;1;0;0;na rynku
+498;2;0;0;perfum
+498;3;1;1;lepszych
+498;4;1;1;lepszych marek perfum na rynku
+498;5;1;1;z lepszych marek perfum na rynku
+498;6;1;1;jedna z lepszych marek perfum na rynku
+498;7;1;1;Davidoff jedna z lepszych marek perfum na rynku
+498;8;0;0;,
+498;9;0;0;.
+498;10;1;1;, że Davidoff jedna z lepszych marek perfum na rynku
+498;11;0;0;em
+498;12;0;0;Doszedł em , że Davidoff jedna z lepszych marek perfum na rynku .
+152;0;1;1;niezwykłym
+152;1;0;1;niezwykłym miejscu
+152;2;0;1;w niezwykłym miejscu
+152;3;0;0;jej
+152;4;0;0;się
+152;5;0;0;.
+152;6;0;0;się jej oświadczyć w niezwykłym miejscu
+152;7;0;0;Dlatego
+152;8;0;0;Dlatego chciał się jej oświadczyć w niezwykłym miejscu .
+280;0;0;0;lat
+280;1;0;0;tych
+280;2;0;0;5 lat
+280;3;0;0;tych perfumach
+280;4;0;0;.
+280;5;0;0;od 5 lat
+280;6;0;0;chyba
+280;7;0;0;już
+280;8;0;0;O tych perfumach
+280;9;1;0;O tych perfumach marzę już chyba od 5 lat .
+880;0;0;0;cytrusów
+880;1;0;0;limonki
+880;2;0;0;limonki , cytrusów
+880;3;1;0;zdecydowaną
+880;4;0;0;mnie
+880;5;0;0;opbok
+880;6;0;0;Gdy
+880;7;0;0;.
+880;8;0;0;zdecydowaną woń limonki , cytrusów
+880;9;0;0;Gdy przechodzi opbok mnie
+880;10;0;0;Gdy przechodzi opbok mnie czuję zdecydowaną woń limonki , cytrusów .
+4;0;0;0;pięknie
+4;1;0;1;pięknie wyszywanego
+4;2;0;1;pięknie wyszywanego fraka
+4;3;0;0;.
+4;4;0;0;krwią
+4;5;0;0;prędko
+4;6;0;1;Rękaw pięknie wyszywanego fraka
+4;7;0;0;Rękaw pięknie wyszywanego fraka prędko nasiąkł krwią .
+1005;0;0;0;bardzo
+1005;1;0;0;także
+1005;2;1;1;także bardzo ładny
+1005;3;1;1;kolor także bardzo ładny
+1005;4;0;0;,
+1005;5;0;0;pięknie
+1005;6;0;0;Piersi
+1005;7;0;0;.
+1005;8;1;1;sexsownie , kolor także bardzo ładny
+1005;9;1;0;Piersi wyglądają pięknie
+1005;10;0;1;Piersi wyglądają pięknie i sexsownie , kolor także bardzo ładny .
+834;0;0;0;białkowej
+834;1;0;0;przemianie białkowej
+834;2;0;0;w przemianie białkowej
+834;3;0;1;aktywny
+834;4;0;0;paznokci
+834;5;0;0;włosów
+834;6;0;0;,
+834;7;0;0;aktywny udział w przemianie białkowej
+834;8;0;0;które
+834;9;0;0;,
+834;10;0;0;włosów i paznokci
+834;11;0;0;, które biorą aktywny udział w przemianie białkowej ,
+834;12;0;0;pozostałych
+834;13;0;0;schorzenia włosów i paznokci
+834;14;0;0;pozostałych składników , które biorą aktywny udział w przemianie białkowej ,
+834;15;0;0;.
+834;16;0;0;powodować schorzenia włosów i paznokci
+834;17;0;0;Niedobory pozostałych składników , które biorą aktywny udział w przemianie białkowej ,
+834;18;0;0;Niedobory pozostałych składników , które biorą aktywny udział w przemianie białkowej , mogą powodować schorzenia włosów i paznokci .
+1035;0;0;0;każdego
+1035;1;0;0;każdego mężczyzny
+1035;2;0;0;!
+1035;3;0;0;dla każdego mężczyzny
+1035;4;1;1;Idealne dla każdego mężczyzny !
+331;0;0;0;szkoły
+331;1;0;0;pracy
+331;2;0;0;pracy i szkoły
+331;3;0;0;.
+331;4;0;0;do pracy i szkoły
+331;5;1;1;Idealny do pracy i szkoły .
+837;0;0;0;bardzo
+837;1;0;0;bardzo długi
+837;2;0;0;już
+837;3;0;0;bardzo
+837;4;0;0;bardzo długi czas
+837;5;0;0;już jedno
+837;6;0;0;,
+837;7;1;0;bardzo trwały
+837;8;0;0;.
+837;9;0;0;na bardzo długi czas
+837;10;0;0;już jedno psiknięcie
+837;11;1;0;Produkt bardzo trwały ,
+837;12;0;1;Produkt bardzo trwały , już jedno psiknięcie starczy na bardzo długi czas .
+719;0;0;0;słodkawy
+719;1;1;1;śliczny
+719;2;1;1;śliczny , słodkawy
+719;3;0;0;.
+719;4;1;1;śliczny , słodkawy zapach
+719;5;0;0;Mają śliczny , słodkawy zapach .
+444;0;0;0;chyba
+444;1;0;0;świecie
+444;2;0;0;chyba najbardziej
+444;3;0;0;na świecie
+444;4;0;1;chyba najbardziej znany
+444;5;0;0;.
+444;6;0;0;chyba najbardziej znany perfum na świecie
+444;7;0;0;to
+444;8;0;0;5 to chyba najbardziej znany perfum na świecie .
+514;0;0;1;rewelacyjnie
+514;1;0;0;ten
+514;2;1;1;rewelacyjnie jak
+514;3;0;0;nie
+514;4;0;0;Żaden
+514;5;0;0;.
+514;6;1;0;nie działa rewelacyjnie jak ten
+514;7;0;0;Żaden zapach
+514;8;0;0;Żaden zapach tak nie działa rewelacyjnie jak ten .
+50;0;0;0;ulubionego
+50;1;0;0;tego
+50;2;1;1;ulubionego koloru
+50;3;0;0;tego produktu
+50;4;1;1;wyboru ulubionego koloru
+50;5;0;0;rozmiarów tego produktu
+50;6;1;1;pełna
+50;7;0;0;także
+50;8;1;0;opcja wyboru ulubionego koloru
+50;9;0;0;Możliwa
+50;10;0;0;.
+50;11;0;0;także pełna gama rozmiarów tego produktu
+50;12;0;0;,
+50;13;1;0;Możliwa jest opcja wyboru ulubionego koloru
+50;14;0;0;Możliwa jest opcja wyboru ulubionego koloru , a także pełna gama rozmiarów tego produktu .
+1121;0;0;0;produktu
+1121;1;0;0;do produktu
+1121;2;0;1;adekwatna do produktu
+1121;3;0;0;cena
+1121;4;0;0;.
+1121;5;0;0;cena jest adekwatna do produktu
+1121;6;0;0;Uważam
+1121;7;0;0;Uważam że cena jest adekwatna do produktu .
+1182;0;0;0;najnowszymi
+1182;1;0;0;najnowszymi autami
+1182;2;0;0;z najnowszymi autami
+1182;3;0;0;jego
+1182;4;0;0;dość
+1182;5;0;0;porównaniu z najnowszymi autami
+1182;6;0;0;dość
+1182;7;0;0;jego prezentacji
+1182;8;0;0;po
+1182;9;0;0;Astry
+1182;10;0;0;dość konserwatywnie
+1182;11;0;0;w porównaniu z najnowszymi autami
+1182;12;0;0;teraz
+1182;13;1;1;dość nowoczesna
+1182;14;0;0;wkrótce po jego prezentacji
+1182;15;0;0;Opla Astry
+1182;16;0;0;.
+1182;17;0;0;teraz w porównaniu z najnowszymi autami wygląda dość konserwatywnie
+1182;18;0;0;,
+1182;19;0;0;wkrótce po jego prezentacji była dość nowoczesna
+1182;20;0;0;Stylistyka Opla Astry
+1182;21;0;0;Stylistyka Opla Astry wkrótce po jego prezentacji była dość nowoczesna , ale teraz w porównaniu z najnowszymi autami wygląda dość konserwatywnie .
+897;0;1;1;wygodny
+897;1;0;0;tym
+897;2;1;1;jest wygodny
+897;3;0;0;biust
+897;4;0;0;poza tym
+897;5;0;0;.
+897;6;1;1;biust i jest wygodny
+897;7;0;0;fajnie
+897;8;0;0;Biustonosz poza tym
+897;9;0;1;Biustonosz poza tym fajnie utrzymuje biust i jest wygodny .
+370;0;0;0;średniej
+370;1;0;0;średniej półki
+370;2;1;0;markowych
+370;3;0;0;ze średniej półki
+370;4;0;0;markowych wód
+370;5;0;0;perfum ze średniej półki
+370;6;0;0;to
+370;7;0;0;nie
+370;8;0;0;korzystnie
+370;9;0;0;nawet
+370;10;0;0;większość markowych wód
+370;11;0;0;jak
+370;12;0;0;Cenowo
+370;13;0;0;.
+370;14;0;0;nie jest to perfum ze średniej półki
+370;15;1;1;Cenowo jak większość markowych wód wypada nawet korzystnie
+370;16;0;0;Cenowo jak większość markowych wód wypada nawet korzystnie chociaż nie jest to perfum ze średniej półki .
+89;0;0;0;fasonu
+89;1;0;0;kolorów
+89;2;0;0;praniu
+89;3;0;0;.
+89;4;0;0;kolorów i fasonu
+89;5;0;0;nie
+89;6;0;0;Po praniu
+89;7;-1;0;Po praniu nie traci kolorów i fasonu .
+431;0;-1;0;przereklamowanym
+431;1;-1;0;przereklamowanym produktem
+431;2;-1;0;jest przereklamowanym produktem
+431;3;0;0;No
+431;4;0;0;perfumowana
+431;5;0;0;.
+431;6;-1;0;No 5 jest przereklamowanym produktem
+431;7;0;0;perfumowana Chanel
+431;8;0;0;Woda perfumowana Chanel No 5 jest przereklamowanym produktem .
+345;0;0;0;który
+345;1;1;0;prawdziwego
+345;2;0;0;Tak
+345;3;0;0;prawdziwego samca który
+345;4;0;1;Tak pachnący
+345;5;0;0;czego
+345;6;0;0;,
+345;7;0;0;wrażenie prawdziwego samca który
+345;8;0;0;Tak pachnący facet
+345;9;0;0;.
+345;10;0;0;, czego chce
+345;11;0;1;Tak pachnący facet robi wrażenie prawdziwego samca który
+345;12;0;0;Tak pachnący facet robi wrażenie prawdziwego samca który wie , czego chce .
+154;0;0;0;wieczorne
+154;1;0;0;wieczorne wyjścia
+154;2;0;0;.
+154;3;0;0;na wieczorne wyjścia
+154;4;0;0;się
+154;5;0;0;Doskonale
+154;6;1;0;Doskonale się sprawdzi na wieczorne wyjścia .
+1190;0;0;0;.
+1190;1;0;0;. .
+1190;2;1;1;przyjemnego
+1190;3;0;0;Tylko
+1190;4;0;0;. . .
+1190;5;0;1;przyjemnego pobytu
+1190;6;0;0;nie
+1190;7;0;0;Tylko współlokatorka
+1190;8;0;1;Tylko współlokatorka nie rokowała przyjemnego pobytu . . .
+1099;0;0;0;każdej
+1099;1;0;0;nie
+1099;2;0;0;nie każdej spasuje
+1099;3;0;0;więc
+1099;4;1;0;lubić
+1099;5;0;0;lubić a więc nie każdej spasuje
+1099;6;0;0;.
+1099;7;0;0;trzeba lubić a więc nie każdej spasuje
+1099;8;0;0;Takie
+1099;9;0;0;Takie zapachy trzeba lubić a więc nie każdej spasuje .
+495;0;0;0;też
+495;1;0;1;miłości
+495;2;0;0;.
+495;3;0;0;też Krew
+495;4;0;0;Cena miłości
+495;5;0;0;Cena miłości to też Krew .
+992;0;0;0;soczyste
+992;1;-1;0;złości
+992;2;-1;-1;soczyste przekleństwa
+992;3;0;0;głośno
+992;4;0;0;ławkę
+992;5;0;0;w złości
+992;6;0;0;inny
+992;7;0;0;.
+992;8;0;-1;rzuca głośno soczyste przekleństwa
+992;9;0;-1;w złości kopie ławkę
+992;10;0;0;Ktoś inny
+992;11;0;0;Ktoś inny w złości kopie ławkę i rzuca głośno soczyste przekleństwa .
+779;0;-1;1;złych
+779;1;0;0;grzesznych
+779;2;0;0;złych myśli
+779;3;0;1;grzesznych namiętności
+779;4;0;0;grzesznych namiętności i złych myśli
+779;5;0;0;od grzesznych namiętności i złych myśli
+779;6;0;0;.
+779;7;0;1;wolny od grzesznych namiętności i złych myśli
+779;8;0;0;Hezychasta
+779;9;0;0;Hezychasta jest wolny od grzesznych namiętności i złych myśli .
+738;0;1;1;przystępną
+738;1;0;0;.
+738;2;1;1;przystępną cenę
+738;3;0;0;Biustonosz
+738;4;0;0;Biustonosz ma przystępną cenę .
+1194;0;0;0;niehistonowej
+1194;1;0;0;puli niehistonowej
+1194;2;0;0;w puli niehistonowej
+1194;3;0;0;cytoplazmatycznych
+1194;4;0;0;proteolitycznej
+1194;5;0;0;białek cytoplazmatycznych w puli niehistonowej
+1194;6;0;0;i
+1194;7;0;0;,
+1194;8;0;0;aktywności proteolitycznej
+1194;9;0;0;zarówno
+1194;10;0;0;zarówno aktywności proteolitycznej , jak i białek cytoplazmatycznych w puli niehistonowej
+1194;11;0;-1;prawdopodobne
+1194;12;0;0;błonowe
+1194;13;0;0;cytoplazmatyczne
+1194;14;0;-1;prawdopodobne źródło zarówno aktywności proteolitycznej , jak i białek cytoplazmatycznych w puli niehistonowej
+1194;15;0;0;,
+1194;16;0;0;cytoplazmatyczne i błonowe
+1194;17;0;0;.
+1194;18;0;0;, stanowiąc prawdopodobne źródło zarówno aktywności proteolitycznej , jak i białek cytoplazmatycznych w puli niehistonowej
+1194;19;-1;-1;groźne
+1194;20;0;0;również
+1194;21;0;0;Zanieczyszczenia cytoplazmatyczne i błonowe
+1194;22;0;0;Zanieczyszczenia cytoplazmatyczne i błonowe są również groźne , stanowiąc prawdopodobne źródło zarówno aktywności proteolitycznej , jak i białek cytoplazmatycznych w puli niehistonowej .
+206;0;0;0;żadna
+206;1;0;0;.
+206;2;-1;-1;żadna rewelacja
+206;3;0;0;Zapach
+206;4;0;0;Zapach to żadna rewelacja .
+1168;0;0;0;zatrzaski
+1168;1;0;0;trzy zatrzaski
+1168;2;0;0;na trzy zatrzaski
+1168;3;1;1;szerokie
+1168;4;0;0;zapięcie na trzy zatrzaski
+1168;5;0;0;szerokie ramiączka
+1168;6;0;0;biustonosz
+1168;7;0;0;moje
+1168;8;0;0;szerokie ramiączka oraz zapięcie na trzy zatrzaski
+1168;9;0;0;moje poprzedniczki biustonosz
+1168;10;0;0;moje poprzedniczki biustonosz posiada szerokie ramiączka oraz zapięcie na trzy zatrzaski
+1168;11;0;0;już
+1168;12;0;0;.
+1168;13;0;0;pisały już moje poprzedniczki biustonosz posiada szerokie ramiączka oraz zapięcie na trzy zatrzaski
+1168;14;0;0;Tak
+1168;15;0;0;Tak jak pisały już moje poprzedniczki biustonosz posiada szerokie ramiączka oraz zapięcie na trzy zatrzaski .
+513;0;0;0;jakiej
+513;1;1;1;najlepsza
+513;2;0;0;dotąd
+513;3;1;1;najlepsza perfuma jakiej
+513;4;0;0;Homme
+513;5;0;0;Lacoste
+513;6;0;0;.
+513;7;0;0;em
+513;8;1;0;najlepsza perfuma jakiej dotąd używał
+513;9;0;0;Lacoste Pour Homme
+513;10;0;0;Lacoste Pour Homme to najlepsza perfuma jakiej dotąd używał em .
+317;0;0;0;Focusa
+317;1;0;0;agresywnymi
+317;2;0;0;agresywnymi liniami Focusa
+317;3;0;1;ponadczasową
+317;4;0;0;z agresywnymi liniami Focusa
+317;5;0;1;za ponadczasową
+317;6;0;0;być
+317;7;0;0;jego
+317;8;0;0;porównaniu z agresywnymi liniami Focusa
+317;9;0;0;Golfa
+317;10;0;0;być uznana za ponadczasową
+317;11;0;0;jego bryła
+317;12;0;0;spokojnie
+317;13;0;0;w porównaniu z agresywnymi liniami Focusa
+317;14;0;0;Sylwetka Golfa
+317;15;0;0;.
+317;16;0;0;jego bryła może być uznana za ponadczasową
+317;17;0;0;,
+317;18;0;1;Sylwetka Golfa w porównaniu z agresywnymi liniami Focusa wygląda spokojnie
+317;19;0;0;Sylwetka Golfa w porównaniu z agresywnymi liniami Focusa wygląda spokojnie , ale jego bryła może być uznana za ponadczasową .
+205;0;1;1;znakomitym
+205;1;0;0;stylu
+205;2;1;1;znakomitym dizajnie
+205;3;1;1;znakomitym dizajnie i stylu
+205;4;1;1;o znakomitym dizajnie i stylu
+205;5;1;1;, o znakomitym dizajnie i stylu
+205;6;0;1;seksownego
+205;7;0;0;polska
+205;8;0;0;.
+205;9;1;0;coś seksownego , o znakomitym dizajnie i stylu
+205;10;0;0;polska firemka
+205;11;0;0;Tymczasem
+205;12;0;0;Tymczasem polska firemka robi coś seksownego , o znakomitym dizajnie i stylu .
+555;0;1;1;dobrze
+555;1;0;0;się
+555;2;0;0;biust
+555;3;0;0;że
+555;4;0;0;,
+555;5;0;0;bardzo
+555;6;1;1;, że biust prezentuje się dobrze
+555;7;0;0;bardzo kobiecy
+555;8;0;0;Krój
+555;9;0;0;.
+555;10;1;0;sprawia , że biust prezentuje się dobrze
+555;11;0;0;Krój jest bardzo kobiecy
+555;12;0;0;Krój jest bardzo kobiecy , sprawia , że biust prezentuje się dobrze .
+997;0;0;0;bardzo
+997;1;0;0;,
+997;2;0;0;się
+997;3;0;0;bardzo szybko
+997;4;0;0;które
+997;5;0;0;,
+997;6;0;0;, które bardzo szybko się rozciągają ,
+997;7;1;0;tanich
+997;8;0;0;bardzo
+997;9;0;0;triumph
+997;10;0;0;tanich biustonoszy , które bardzo szybko się rozciągają ,
+997;11;1;1;bardzo zadowolona
+997;12;0;0;na triumph
+997;13;0;0;z tanich biustonoszy , które bardzo szybko się rozciągają ,
+997;14;0;0;się
+997;15;0;0;m
+997;16;0;0;.
+997;17;1;1;jestem bardzo zadowolona
+997;18;0;0;Przerzuciła m się z tanich biustonoszy , które bardzo szybko się rozciągają , na triumph
+997;19;0;0;Przerzuciła m się z tanich biustonoszy , które bardzo szybko się rozciągają , na triumph i jestem bardzo zadowolona .
+287;0;0;0;zimę
+287;1;0;0;.
+287;2;0;0;na zimę
+287;3;1;1;idealny na zimę .
+7;0;0;0;tym
+7;1;0;0;tym biustonoszu
+7;2;0;0;up
+7;3;0;0;push
+7;4;0;0;jego
+7;5;0;0;w tym biustonoszu
+7;6;0;0;mnie
+7;7;0;0;.
+7;8;0;0;jego wkładki push up
+7;9;0;1;najważniejsze w tym biustonoszu
+7;10;0;0;Dla mnie
+7;11;0;0;Dla mnie najważniejsze w tym biustonoszu są jego wkładki push up .
+33;0;0;0;rynku
+33;1;0;0;na rynku
+33;2;1;1;najlepszych
+33;3;1;1;najlepszych wód na rynku
+33;4;0;0;Clein
+33;5;1;1;z najlepszych wód na rynku
+33;6;0;0;Calvin Clein
+33;7;0;0;.
+33;8;1;1;jedną z najlepszych wód na rynku
+33;9;0;0;Woda Calvin Clein
+33;10;0;0;Woda Calvin Clein jest jedną z najlepszych wód na rynku .
+936;0;1;0;ślicznego
+936;1;1;0;ślicznego wyglądu
+936;2;0;0;.
+936;3;1;1;biustowi ślicznego wyglądu
+936;4;0;1;Nadaje biustowi ślicznego wyglądu .
+1094;0;0;0;!
+1094;1;0;0;polecenia
+1094;2;0;0;! !
+1094;3;1;1;warty polecenia
+1094;4;0;0;! ! !
+1094;5;1;1;zapach warty polecenia
+1094;6;0;0;opakowanie
+1094;7;0;0;Minimalistyczne
+1094;8;0;0;Minimalistyczne opakowanie lecz zapach warty polecenia ! ! !
+210;0;0;0;ramiona
+210;1;0;0;garderoby
+210;2;0;0;odsłonić ramiona
+210;3;0;0;się
+210;4;0;0;wyborze garderoby
+210;5;0;0;chce się odsłonić ramiona
+210;6;0;0;,
+210;7;0;0;w wyborze garderoby
+210;8;0;0;większą
+210;9;0;0;ramiączek
+210;10;0;0;.
+210;11;0;0;, gdy chce się odsłonić ramiona
+210;12;1;1;większą swobodę w wyborze garderoby
+210;13;0;0;Regulacja ramiączek
+210;14;0;0;Regulacja ramiączek stwarza większą swobodę w wyborze garderoby , gdy chce się odsłonić ramiona .
+113;0;1;1;miły
+113;1;0;0;.
+113;2;0;1;miły wieczór
+113;3;0;0;był
+113;4;0;0;To był miły wieczór .
+465;0;1;1;wspaniałe
+465;1;0;0;nas
+465;2;0;0;Moryniu
+465;3;0;0;.
+465;4;0;0;wspaniałe jezioro
+465;5;0;0;na nas
+465;6;0;0;W Moryniu
+465;7;0;0;-
+465;8;0;0;- W Moryniu czeka na nas wspaniałe jezioro .
+828;0;0;0;Ten
+828;1;0;0;.
+828;2;1;1;idealny
+828;3;0;0;Ten biustonosz
+828;4;0;0;Ten biustonosz jest idealny .
+644;0;0;0;ten
+644;1;0;0;wyjtakowy
+644;2;1;1;ładny
+644;3;0;0;bardzo
+644;4;0;0;ten biustonosz
+644;5;1;0;bardzo ładny i wyjtakowy
+644;6;0;1;ze ten biustonosz
+644;7;0;0;,
+644;8;1;0;, ze ten biustonosz jest bardzo ładny i wyjtakowy
+644;9;0;0;.
+644;10;1;0;Sadze , ze ten biustonosz jest bardzo ładny i wyjtakowy
+414;0;1;1;wygodny
+414;1;0;0;,
+414;2;0;0;.
+414;3;1;1;, wygodny flakon
+414;4;0;-1;wytrzymałe
+414;5;0;0;Perfumy wytrzymałe , wygodny flakon .
+90;0;0;0;wieczorne
+90;1;0;0;codziennego
+90;2;0;0;wieczorne wyjścia
+90;3;0;0;codziennego użytkowania
+90;4;0;0;na wieczorne wyjścia
+90;5;0;0;.
+90;6;0;0;do codziennego użytkowania
+90;7;1;1;Dobry na wieczorne wyjścia
+90;8;0;1;Dobry na wieczorne wyjścia i do codziennego użytkowania .
+448;0;1;1;pełen
+448;1;0;0;.
+448;2;1;1;pełen klasy
+448;3;0;0;Słodkawy
+448;4;0;0;Słodkawy i pełen klasy .
+296;0;0;0;Prezydenckim
+296;1;0;1;Pałacu Prezydenckim
+296;2;0;0;stypendiów
+296;3;0;1;w Pałacu Prezydenckim
+296;4;0;0;wręczenia stypendiów
+296;5;1;0;uroczystości wręczenia stypendiów w Pałacu Prezydenckim
+296;6;0;0;swoim
+296;7;0;0;też
+296;8;0;0;.
+296;9;0;0;na uroczystości wręczenia stypendiów w Pałacu Prezydenckim
+296;10;0;0;swoim synom
+296;11;0;0;Obie też
+296;12;0;0;Obie też towarzyszyły swoim synom na uroczystości wręczenia stypendiów w Pałacu Prezydenckim .
+701;0;1;0;obowiązkowe
+701;1;0;0;pereł
+701;2;0;0;perfumy obowiązkowe
+701;3;0;0;miłośniczki pereł
+701;4;0;0;,
+701;5;0;0;!
+701;6;0;0;, dla miłośniczki pereł perfumy obowiązkowe
+701;7;0;1;zachwycająca
+701;8;0;0;Butelka zachwycająca , dla miłośniczki pereł perfumy obowiązkowe !
+1029;0;0;0;,
+1029;1;0;0;bardzo
+1029;2;1;0;bardzo ,
+1029;3;1;0;bardzo , bardzo trwały
+1029;4;0;0;.
+1029;5;1;0;kosmetyk bardzo , bardzo trwały
+1029;6;0;0;Jest
+1029;7;0;0;Jest to kosmetyk bardzo , bardzo trwały .
+161;0;0;0;bardzo
+161;1;0;1;bardzo klasyczna
+161;2;0;0;wzrok
+161;3;0;0;bardzo klasyczna co
+161;4;0;0;buteleczka
+161;5;0;0;.
+161;6;0;0;przyciąga wzrok
+161;7;0;0;buteleczka bardzo klasyczna co sprawia
+161;8;0;0;buteleczka bardzo klasyczna co sprawia że przyciąga wzrok .
+876;0;1;1;fajny
+876;1;0;0;duża
+876;2;0;0;.
+876;3;1;1;fajny kształt
+876;4;0;0;duża buteleczka
+876;5;0;0;Bardzo
+876;6;0;0;Bardzo duża buteleczka i fajny kształt .
+455;0;0;0;dni
+455;1;0;0;ubraniach
+455;2;0;0;kilka dni
+455;3;0;0;na ubraniach
+455;4;0;0;.
+455;5;0;0;si kilka dni
+455;6;0;0;Trwały na ubraniach
+455;7;0;0;Trwały na ubraniach utrzymuje si kilka dni .
+94;0;1;0;młodego
+94;1;0;0;młodego chłopaka
+94;2;0;0;?
+94;3;0;0;dla młodego chłopaka
+94;4;0;0;Natomiast dla młodego chłopaka ?
+232;0;0;0;swojej
+232;1;0;0;swojej słodkości
+232;2;0;0;lekko
+232;3;0;0;do swojej słodkości
+232;4;0;0;lekko stonowany
+232;5;0;0;.
+232;6;0;0;lekko stonowany co do swojej słodkości
+232;7;0;0;Zapach lekko stonowany co do swojej słodkości .
+145;0;0;0;Gdańska
+145;1;0;0;żydowskich
+145;2;0;0;tamtejszych
+145;3;0;0;do Gdańska
+145;4;0;0;tamtejszych środowisk żydowskich
+145;5;0;0;wyjazdu do Gdańska
+145;6;0;0;Hrycyna
+145;7;0;0;tygodniem
+145;8;0;0;.
+145;9;1;0;przychylność tamtejszych środowisk żydowskich
+145;10;0;0;podczas wyjazdu do Gdańska
+145;11;0;0;wicestarosta Hrycyna
+145;12;0;0;Przed tygodniem
+145;13;0;0;Przed tygodniem wicestarosta Hrycyna podczas wyjazdu do Gdańska uzyskał przychylność tamtejszych środowisk żydowskich .
+342;0;0;0;najbardziej
+342;1;0;0;!
+342;2;0;0;męskich
+342;3;1;0;najbardziej ulubionych
+342;4;0;0;moich
+342;5;0;0;! !
+342;6;1;0;moich najbardziej ulubionych męskich zapachów
+342;7;0;0;! ! !
+342;8;1;1;z moich najbardziej ulubionych męskich zapachów
+342;9;0;0;Jeden z moich najbardziej ulubionych męskich zapachów ! ! !
+315;0;1;1;luksusu
+315;1;1;1;odrobinę luksusu
+315;2;0;0;ubioru
+315;3;0;0;osobowości
+315;4;1;1;im odrobinę luksusu
+315;5;0;0;,
+315;6;0;0;osobowości i ubioru
+315;7;0;0;.
+315;8;1;0;, dodając im odrobinę luksusu
+315;9;0;0;do osobowości i ubioru
+315;10;0;0;się
+315;11;0;0;Dopasowuje się do osobowości i ubioru , dodając im odrobinę luksusu .
+715;0;0;0;gwiazdkę
+715;1;0;0;na gwiazdkę
+715;2;1;1;Fajny
+715;3;0;0;Fajny prezent na gwiazdkę
+177;0;0;0;wspaniale
+177;1;0;0;go
+177;2;0;0;kobiety
+177;3;1;1;wspaniale podkreśla
+177;4;0;0;unosi go
+177;5;0;0;biust kobiety
+177;6;1;1;Świetnie
+177;7;0;0;.
+177;8;1;1;unosi go i wspaniale podkreśla
+177;9;1;1;Świetnie kształtuje biust kobiety
+177;10;0;0;Świetnie kształtuje biust kobiety , unosi go i wspaniale podkreśla .
+30;0;0;0;Izraelu
+30;1;-1;0;konfliktu
+30;2;0;0;w Izraelu
+30;3;0;1;stronami konfliktu
+30;4;0;0;mieszkających w Izraelu
+30;5;0;1;między stronami konfliktu
+30;6;0;0;mieszkających w Izraelu Arabów
+30;7;0;0;tysięcy
+30;8;0;0;religijni
+30;9;0;0;świeccy
+30;10;0;1;mediacjach między stronami konfliktu
+30;11;0;0;800 tysięcy mieszkających w Izraelu Arabów
+30;12;0;0;świeccy i religijni
+30;13;0;1;w mediacjach między stronami konfliktu
+30;14;0;0;Aktywną
+30;15;0;0;.
+30;16;0;0;świeccy i religijni przedstawiciele 800 tysięcy mieszkających w Izraelu Arabów
+30;17;0;0;Aktywną rolę w mediacjach między stronami konfliktu
+30;18;0;0;Aktywną rolę w mediacjach między stronami konfliktu pełnią świeccy i religijni przedstawiciele 800 tysięcy mieszkających w Izraelu Arabów .
+1171;0;1;1;przystępnej
+1171;1;1;1;przystępnej cenie
+1171;2;0;0;Prezentowany
+1171;3;0;0;.
+1171;4;1;1;w przystępnej cenie
+1171;5;0;0;Prezentowany produkt
+1171;6;0;1;Prezentowany produkt jest w przystępnej cenie .
+144;0;0;0;bardzo
+144;1;0;0;ten
+144;2;0;0;.
+144;3;1;1;bardzo fajny
+144;4;0;0;Stanik ten
+144;5;0;0;Stanik ten jest bardzo fajny .
+497;0;0;0;aldehydowy
+497;1;0;0;- aldehydowy
+497;2;0;0;bardzo
+497;3;0;0;kwiatowo - aldehydowy
+497;4;0;1;bardzo mocny
+497;5;0;0;bardzo mocny kwiatowo - aldehydowy zapach
+497;6;0;0;to bardzo mocny kwiatowo - aldehydowy zapach
+497;7;0;0;"
+497;8;0;0;.
+497;9;0;0;Piątka " to bardzo mocny kwiatowo - aldehydowy zapach
+497;10;0;0;" Piątka " to bardzo mocny kwiatowo - aldehydowy zapach .
+374;0;0;0;.
+374;1;0;0;drogowych
+374;2;0;0;mln
+374;3;0;0;ok .
+374;4;0;-1;wypadkach drogowych
+374;5;0;0;osób
+374;6;0;0;ponad
+374;7;0;0;świecie
+374;8;-1;0;rany
+374;9;0;0;ok . 40 mln
+374;10;0;0;w wypadkach drogowych
+374;11;0;0;ponad milion osób
+374;12;0;0;na świecie
+374;13;0;0;Rocznie
+374;14;0;0;.
+374;15;0;0;ok . 40 mln odnosi rany
+374;16;0;0;,
+374;17;0;-1;Rocznie na świecie ponad milion osób ginie w wypadkach drogowych
+374;18;0;0;Rocznie na świecie ponad milion osób ginie w wypadkach drogowych , a ok . 40 mln odnosi rany .
+758;0;-1;-1;ciężkich
+758;1;0;0;dużych
+758;2;0;0;dużych , ciężkich
+758;3;0;0;dużych , ciężkich piersiach
+758;4;0;0;.
+758;5;0;0;przy dużych , ciężkich piersiach
+758;6;0;0;Odpada przy dużych , ciężkich piersiach .
+937;0;0;1;diabłem
+937;1;0;1;z diabłem
+937;2;1;1;przyjacielskiej
+937;3;-1;0;przyjacielskiej pogawędce z diabłem
+937;4;0;0;w przyjacielskiej pogawędce z diabłem
+937;5;0;0;długie
+937;6;0;0;proste
+937;7;0;1;pogrążonego w przyjacielskiej pogawędce z diabłem
+937;8;0;0;proste , długie
+937;9;0;0;człowieka pogrążonego w przyjacielskiej pogawędce z diabłem
+937;10;0;0;proste , długie szaty
+937;11;0;0;lewej
+937;12;0;0;na człowieka pogrążonego w przyjacielskiej pogawędce z diabłem
+937;13;0;0;palcem
+937;14;0;0;którzy
+937;15;0;0;,
+937;16;0;0;w proste , długie szaty
+937;17;0;0;lewej stronie
+937;18;0;0;, którzy wskazują palcem na człowieka pogrążonego w przyjacielskiej pogawędce z diabłem
+937;19;0;0;ubranych w proste , długie szaty
+937;20;0;0;po lewej stronie
+937;21;0;0;tej
+937;22;0;0;ludzi ubranych w proste , długie szaty , którzy wskazują palcem na człowieka pogrążonego w przyjacielskiej pogawędce z diabłem
+937;23;0;0;stojącą po lewej stronie
+937;24;0;0;tej rycinie
+937;25;0;0;.
+937;26;0;0;stojącą po lewej stronie grupkę ludzi ubranych w proste , długie szaty , którzy wskazują palcem na człowieka pogrążonego w przyjacielskiej pogawędce z diabłem
+937;27;0;0;na tej rycinie
+937;28;0;0;Widzę na tej rycinie stojącą po lewej stronie grupkę ludzi ubranych w proste , długie szaty , którzy wskazują palcem na człowieka pogrążonego w przyjacielskiej pogawędce z diabłem .
+511;0;0;0;wnuczki
+511;1;0;0;córki
+511;2;0;0;,
+511;3;0;0;żony
+511;4;0;0;,
+511;5;0;0;mamy
+511;6;0;0;mamy , żony , córki czy wnuczki
+511;7;0;0;dla mamy , żony , córki czy wnuczki
+511;8;0;0;prezent dla mamy , żony , córki czy wnuczki
+511;9;0;0;.
+511;10;0;0;na prezent dla mamy , żony , córki czy wnuczki
+511;11;1;1;Polecam na prezent dla mamy , żony , córki czy wnuczki .
+85;0;0;0;naprawdę
+85;1;1;1;naprawdę cudowny
+85;2;0;0;.
+85;3;1;1;naprawdę cudowny biustonosz
+85;4;0;0;Jest
+85;5;0;0;Jest to naprawdę cudowny biustonosz .
+201;0;0;0;kobiety
+201;1;0;0;pewnej
+201;2;1;0;pewnej siebie kobiety
+201;3;1;1;dojrzałej
+201;4;1;0;dojrzałej oraz pewnej siebie kobiety
+201;5;0;0;!
+201;6;0;0;!
+201;7;1;1;dla dojrzałej oraz pewnej siebie kobiety
+201;8;0;0;Perfum dla dojrzałej oraz pewnej siebie kobiety ! !
+900;0;1;1;godny
+900;1;1;1;godny polecenia
+900;2;0;0;mnie
+900;3;0;0;.
+900;4;1;1;zapach godny polecenia
+900;5;0;0;Według mnie
+900;6;0;1;Według mnie to zapach godny polecenia .
+387;0;0;0;Domenico
+387;1;0;0;projektantów Domenico
+387;2;0;0;włoski
+387;3;0;0;włoski zespół projektantów Domenico
+387;4;0;0;oczywiście
+387;5;0;0;przez włoski zespół projektantów Domenico
+387;6;0;0;śródziemnomorskim
+387;7;0;1;oczywiście tradycyjnym
+387;8;0;0;Gabbana
+387;9;0;0;stworzony przez włoski zespół projektantów Domenico
+387;10;0;0;oczywiście tradycyjnym śródziemnomorskim stylem
+387;11;1;1;luksusem
+387;12;0;0;,
+387;13;0;0;pożądaniem
+387;14;0;1;przepełniony
+387;15;0;0;Stefano Gabbana
+387;16;0;0;stworzony przez włoski zespół projektantów Domenico Dolce
+387;17;1;0;przepełniony pożądaniem , luksusem i oczywiście tradycyjnym śródziemnomorskim stylem
+387;18;0;0;,
+387;19;0;0;stworzony przez włoski zespół projektantów Domenico Dolce i Stefano Gabbana
+387;20;0;1;nowy
+387;21;0;0;całkiem
+387;22;0;0;.
+387;23;1;0;całkiem nowy zapach stworzony przez włoski zespół projektantów Domenico Dolce i Stefano Gabbana , przepełniony pożądaniem , luksusem i oczywiście tradycyjnym śródziemnomorskim stylem
+387;24;0;0;One
+387;25;0;0;The
+387;26;0;0;The One to całkiem nowy zapach stworzony przez włoski zespół projektantów Domenico Dolce i Stefano Gabbana , przepełniony pożądaniem , luksusem i oczywiście tradycyjnym śródziemnomorskim stylem .
+214;0;0;0;figury
+214;1;0;0;.
+214;2;0;0;do figury
+214;3;0;0;się
+214;4;0;0;dopasowuje się do figury .
+214;5;0;0;Bardzo
+214;6;0;0;, dopasowuje się do figury .
+214;7;1;1;Bardzo dobrze
+214;8;0;1;Bardzo dobrze leży , dopasowuje się do figury .
+668;0;0;1;młodą
+668;1;0;1;lekkim
+668;2;0;0;młodą koleżankę
+668;3;-1;0;lekkim wyrzutem
+668;4;0;0;.
+668;5;0;1;na młodą koleżankę
+668;6;0;0;z lekkim wyrzutem
+668;7;0;0;Joanna
+668;8;0;0;–
+668;9;0;0;– Joanna z lekkim wyrzutem spojrzała na młodą koleżankę .
+509;0;1;1;romantycznych
+509;1;0;0;.
+509;2;0;1;kobiet romantycznych
+509;3;0;0;Dla kobiet romantycznych .
+507;0;0;0;wieczorowe
+507;1;-1;0;wymagające
+507;2;0;0;gładkie
+507;3;0;0;codzień
+507;4;0;0;gładkie wymagające sukienki wieczorowe
+507;5;0;0;na codzień
+507;6;0;0;pod gładkie wymagające sukienki wieczorowe
+507;7;0;0;się
+507;8;0;0;Rewelacyjnie
+507;9;0;0;.
+507;10;0;0;i na codzień
+507;11;0;0;,
+507;12;1;1;Rewelacyjnie sprawdza się pod gładkie wymagające sukienki wieczorowe
+507;13;0;0;Rewelacyjnie sprawdza się pod gładkie wymagające sukienki wieczorowe , ale i na codzień .
+567;0;0;0;bardzo
+567;1;0;1;zmysłowy
+567;2;0;1;bardzo intensywny
+567;3;1;0;bardzo intensywny , zmysłowy
+567;4;0;0;.
+567;5;1;1;bardzo intensywny , zmysłowy zapach
+567;6;0;0;Perfumy
+567;7;0;0;Perfumy mają bardzo intensywny , zmysłowy zapach .
+1052;0;0;0;carat
+1052;1;0;0;przez carat
+1052;2;0;0;uciemiężone
+1052;3;0;0;podbite
+1052;4;0;0;podbite i uciemiężone przez carat
+1052;5;0;0;bojowy
+1052;6;0;0;.
+1052;7;0;0;narody podbite i uciemiężone przez carat
+1052;8;0;0;także
+1052;9;0;0;Sztandar bojowy
+1052;10;0;0;Sztandar bojowy podniosły także narody podbite i uciemiężone przez carat .
+1048;0;0;0;ten
+1048;1;0;0;ten zapach
+1048;2;0;0;.
+1048;3;0;0;wprost ten zapach
+1048;4;1;1;Uwielbiam wprost ten zapach .
+1098;0;0;0;panią
+1098;1;0;0;.
+1098;2;0;0;wszystkim panią
+1098;3;0;0;je
+1098;4;1;1;Polecam je wszystkim panią .
+875;0;0;0;co
+875;1;0;0;przez co
+875;2;0;0;duża przez co
+875;3;-1;-1;za duża przez co
+875;4;-1;0;trochę za duża przez co
+875;5;0;0;torebki
+875;6;-1;-1;zakrętka trochę za duża przez co
+875;7;0;0;,
+875;8;1;1;Ciekawa
+875;9;0;0;.
+875;10;0;0;do torebki
+875;11;0;0;się
+875;12;0;0;nie
+875;13;0;0;Ciekawa buteleczka , zakrętka trochę za duża przez co
+875;14;0;0;Ciekawa buteleczka , zakrętka trochę za duża przez co nie mieści się do torebki .
+70;0;0;0;porządku
+70;1;0;0;.
+70;2;0;0;w porządku
+70;3;0;0;że
+70;4;0;0;,
+70;5;0;0;ją
+70;6;0;0;. .
+70;7;0;0;, że jest w porządku
+70;8;0;0;mnie
+70;9;0;0;ją tknąć
+70;10;0;0;się
+70;11;0;0;em
+70;12;0;0;Nawet
+70;13;0;0;. . .
+70;14;0;0;mnie uspokoiła , że jest w porządku
+70;15;0;0;,
+70;16;0;0;Nawet bał em się ją tknąć
+70;17;0;0;Nawet bał em się ją tknąć , ale mnie uspokoiła , że jest w porządku . . .
+1138;0;0;0;flakoniku
+1138;1;0;0;ergonomiczny
+1138;2;0;0;bardzo
+1138;3;1;0;ergonomiczny kształt flakoniku
+1138;4;1;1;bardzo ładny
+1138;5;0;0;.
+1138;6;1;1;bardzo ładny i ergonomiczny kształt flakoniku
+1138;7;0;0;również
+1138;8;0;0;Mają również bardzo ładny i ergonomiczny kształt flakoniku .
+760;0;1;1;romantyczną
+760;1;0;0;.
+760;2;0;0;romantyczną kolację
+760;3;0;0;Nawet
+760;4;0;0;Nawet na romantyczną kolację .
+856;0;0;0;biust
+856;1;0;0;ładnie
+856;2;0;0;Biustonosz
+856;3;0;0;.
+856;4;0;0;podnosi biust
+856;5;1;1;Biustonosz ładnie wygląda
+856;6;0;0;Biustonosz ładnie wygląda i podnosi biust .
+211;0;0;0;każdego
+211;1;0;0;każdego mężczyzny
+211;2;0;0;dla każdego mężczyzny
+211;3;0;0;.
+211;4;1;1;odpowiednia dla każdego mężczyzny
+211;5;0;0;zapachowa
+211;6;0;0;Nuta zapachowa odpowiednia dla każdego mężczyzny .
+805;0;1;1;dojrzałą
+805;1;0;0;elegancją
+805;2;1;1;dojrzałą klasyką
+805;3;1;1;dojrzałą klasyką i elegancją
+805;4;0;0;.
+805;5;1;1;z dojrzałą klasyką i elegancją
+805;6;0;0;się
+805;7;0;0;mi
+805;8;0;0;Dune
+805;9;0;0;Dune kojarzy mi się z dojrzałą klasyką i elegancją .
+37;0;0;0;Cyganeria
+37;1;0;0;bardzo
+37;2;0;0;Konrad Cyganeria
+37;3;0;0;niesamowicie
+37;4;1;1;bardzo efektowny
+37;5;0;0;Biustonosz Konrad Cyganeria
+37;6;0;0;.
+37;7;1;0;niesamowicie sexowny
+37;8;1;0;Biustonosz Konrad Cyganeria jest bardzo efektowny
+37;9;0;0;Biustonosz Konrad Cyganeria jest bardzo efektowny i niesamowicie sexowny .
+198;0;0;0;Beatki
+198;1;-1;1;dramatyczną
+198;2;0;0;doznaną
+198;3;0;0;dramatyczną decyzją Beatki
+198;4;-1;-1;doznaną porażką
+198;5;0;0;doznaną porażką i dramatyczną decyzją Beatki
+198;6;0;0;minut
+198;7;0;0;z doznaną porażką i dramatyczną decyzją Beatki
+198;8;0;0;kilka minut
+198;9;0;0;Jeszcze
+198;10;0;0;.
+198;11;0;0;uporać z doznaną porażką i dramatyczną decyzją Beatki
+198;12;0;0;się
+198;13;0;0;Jeszcze przez kilka minut
+198;14;0;0;Jeszcze przez kilka minut starali się uporać z doznaną porażką i dramatyczną decyzją Beatki .
+156;0;0;0;terrorystycznym
+156;1;0;0;zamachu terrorystycznym
+156;2;0;0;publicznego
+156;3;0;0;,
+156;4;0;0;w zamachu terrorystycznym
+156;5;0;0;który
+156;6;0;0;,
+156;7;0;0;życia publicznego
+156;8;0;0;wszystkich
+156;9;0;-1;, który zginął w zamachu terrorystycznym ,
+156;10;0;0;II
+156;11;0;0;wszystkich dziedzinach życia publicznego
+156;12;0;0;represyjnej
+156;13;0;0;Aleksandra II , który zginął w zamachu terrorystycznym ,
+156;14;0;0;rosyjskim
+156;15;0;0;we wszystkich dziedzinach życia publicznego
+156;16;0;0;polityki represyjnej
+156;17;0;0;gwałtowne
+156;18;-1;-1;śmierci Aleksandra II , który zginął w zamachu terrorystycznym ,
+156;19;0;0;zaborze rosyjskim
+156;20;1;0;.
+156;21;0;0;gwałtowne zaostrzenie polityki represyjnej we wszystkich dziedzinach życia publicznego
+156;22;0;0;po śmierci Aleksandra II , który zginął w zamachu terrorystycznym ,
+156;23;0;0;W zaborze rosyjskim
+156;24;0;0;W zaborze rosyjskim po śmierci Aleksandra II , który zginął w zamachu terrorystycznym , nastąpiło gwałtowne zaostrzenie polityki represyjnej we wszystkich dziedzinach życia publicznego .
+1060;0;1;1;Dobrze
+1060;1;0;0;.
+1060;2;1;1;Dobrze wyprofilowana
+1060;3;0;0;Dobrze wyprofilowana butelka .
+1149;0;0;0;błoto
+1149;1;0;0;w błoto
+1149;2;-1;0;wyrzucone w błoto
+1149;3;0;0;.
+1149;4;-1;0;pieniądze wyrzucone w błoto
+1149;5;0;0;były
+1149;6;0;0;Nie
+1149;7;0;0;Nie były to pieniądze wyrzucone w błoto .
+1137;0;0;0;bardzo
+1137;1;0;0;tym
+1137;2;0;0;piersi
+1137;3;1;1;bardzo dobrze
+1137;4;0;0;Poza tym
+1137;5;0;0;.
+1137;6;0;0;podkreśla piersi
+1137;7;1;1;Poza tym bardzo dobrze leży
+1137;8;0;0;Poza tym bardzo dobrze leży i podkreśla piersi .
+503;0;0;0;miseczki
+503;1;0;0;rozmiarów miseczki
+503;2;1;1;pełną
+503;3;0;0;.
+503;4;0;0;pełną gamę rozmiarów miseczki
+503;5;0;0;Stanik
+503;6;0;0;Stanik ma pełną gamę rozmiarów miseczki .
+854;0;0;0;je
+854;1;0;0;kto
+854;2;0;0;kogoś
+854;3;0;0;półeczce
+854;4;0;0;kto je przygarnie
+854;5;0;0;na kogoś
+854;6;0;0;na półeczce
+854;7;0;0;spokojnie
+854;8;0;0;sobie
+854;9;0;0;Perfumy
+854;10;0;0;.
+854;11;0;0;czekają na kogoś kto je przygarnie
+854;12;0;0;Perfumy leżą sobie spokojnie na półeczce
+854;13;0;0;Perfumy leżą sobie spokojnie na półeczce i czekają na kogoś kto je przygarnie .
+367;0;0;0;każdego
+367;1;0;0;każdego rodzaju
+367;2;0;0;prezent
+367;3;0;0;na każdego rodzaju
+367;4;1;1;świetny
+367;5;0;0;Lacoste
+367;6;0;0;.
+367;7;1;1;świetny wybór na każdego rodzaju prezent
+367;8;0;0;Lacoste Essential
+367;9;0;0;Lacoste Essential to świetny wybór na każdego rodzaju prezent .
+138;0;0;0;sklepie
+138;1;0;0;m
+138;2;0;0;m
+138;3;0;0;w sklepie
+138;4;0;0;go
+138;5;0;0;by m
+138;6;0;0;sobie
+138;7;0;0;by m
+138;8;0;0;zobaczyła by m go w sklepie
+138;9;0;0;pewno
+138;10;0;0;zobaczyła by m go w sklepie kupiła by m sobie
+138;11;0;0;na pewno
+138;12;0;0;na pewno jak zobaczyła by m go w sklepie kupiła by m sobie
+138;13;1;1;przepiękny
+138;14;1;1;przepiękny i na pewno jak zobaczyła by m go w sklepie kupiła by m sobie
+138;15;0;0;jest
+138;16;1;0;wyszyty jest przepiękny i na pewno jak zobaczyła by m go w sklepie kupiła by m sobie
+138;17;0;0;którym
+138;18;0;0;,
+138;19;0;0;.
+138;20;1;0;, którym jest wyszyty jest przepiękny i na pewno jak zobaczyła by m go w sklepie kupiła by m sobie
+138;21;0;0;Haft , którym jest wyszyty jest przepiękny i na pewno jak zobaczyła by m go w sklepie kupiła by m sobie .
+627;0;1;0;słodyczy
+627;1;0;0;odrobiną słodyczy
+627;2;0;0;,
+627;3;0;0;.
+627;4;0;0;, z odrobiną słodyczy
+627;5;0;0;Wyrazisty , z odrobiną słodyczy .
+38;0;0;0;płaskich
+38;1;0;0;płaskich kobiet
+38;2;1;1;Fajna
+38;3;0;0;.
+38;4;0;0;dla płaskich kobiet
+38;5;0;0;,
+38;6;1;0;Fajna sprawa
+38;7;0;0;Fajna sprawa , ale dla płaskich kobiet .
+412;0;1;1;pożyteczne
+412;1;0;1;praktyczne
+412;2;0;0;,
+412;3;0;1;konkretne
+412;4;1;0;poparcie
+412;5;1;0;uznanie
+412;6;0;0;,
+412;7;0;0;konkretne , praktyczne i pożyteczne
+412;8;0;0;,
+412;9;0;0;Twoje
+412;10;0;0;.
+412;11;0;0;uznanie i poparcie
+412;12;0;1;Twoje inicjatywy , konkretne , praktyczne i pożyteczne ,
+412;13;0;0;Twoje inicjatywy , konkretne , praktyczne i pożyteczne , zyskają uznanie i poparcie .
+1184;0;0;0;rzadko
+1184;1;0;0;rzadko widywanych
+1184;2;0;1;rzadko widywanych bliskich
+1184;3;0;1;odpowiedniego
+1184;4;0;0;na rzadko widywanych bliskich
+1184;5;0;1;odpowiedniego wrażenia
+1184;6;0;0;zrobić odpowiedniego wrażenia na rzadko widywanych bliskich
+1184;7;0;0;im
+1184;8;0;0;się
+1184;9;0;0;nie
+1184;10;0;0;że
+1184;11;0;0;,
+1184;12;0;0;, że nie uda się im zrobić odpowiedniego wrażenia na rzadko widywanych bliskich
+1184;13;0;0;małej
+1184;14;0;0;obawa , że nie uda się im zrobić odpowiedniego wrażenia na rzadko widywanych bliskich
+1184;15;0;0;,
+1184;16;0;0;małej wartości
+1184;17;0;0;Coraz
+1184;18;0;0;.
+1184;19;0;0;poczucie małej wartości , obawa , że nie uda się im zrobić odpowiedniego wrażenia na rzadko widywanych bliskich
+1184;20;0;0;ludzi
+1184;21;0;0;Coraz częściej
+1184;22;0;0;Coraz częściej ludzi trapi poczucie małej wartości , obawa , że nie uda się im zrobić odpowiedniego wrażenia na rzadko widywanych bliskich .
+91;0;0;0;to
+91;1;0;0;cały
+91;2;0;0;na to
+91;3;0;0;cały zakryty
+91;4;0;0;że
+91;5;0;0;,
+91;6;0;0;względu na to
+91;7;0;0;, że jest cały zakryty
+91;8;0;0;ze względu na to
+91;9;0;0;duże
+91;10;0;0;duże , ze względu na to , że jest cały zakryty
+91;11;0;0;nawet
+91;12;0;0;nawet te duże , ze względu na to , że jest cały zakryty
+91;13;0;0;.
+91;14;0;0;, nawet te duże , ze względu na to , że jest cały zakryty
+91;15;0;0;piersi
+91;16;1;1;dobrze
+91;17;0;0;Ponadto
+91;18;0;0;Ponadto dobrze podtrzymuje piersi , nawet te duże , ze względu na to , że jest cały zakryty .
+1115;0;0;0;tajmeniczości
+1115;1;0;0;które
+1115;2;0;0;,
+1115;3;0;0;, które dodadzą tajmeniczości
+1115;4;1;1;urocze
+1115;5;0;0;biustu
+1115;6;0;0;partnera
+1115;7;0;1;urocze hafty , które dodadzą tajmeniczości
+1115;8;0;0;także
+1115;9;0;0;Wkoło biustu
+1115;10;0;0;.
+1115;11;1;0;zaintrygują partnera
+1115;12;0;1;Wkoło biustu widnieją także urocze hafty , które dodadzą tajmeniczości
+1115;13;0;0;Wkoło biustu widnieją także urocze hafty , które dodadzą tajmeniczości i zaintrygują partnera .
+1136;0;0;0;kupienia
+1136;1;0;0;dość
+1136;2;1;1;warty kupienia
+1136;3;0;0;dość drogi
+1136;4;0;0;Biustonosz
+1136;5;0;0;.
+1136;6;1;1;naprawdę warty kupienia
+1136;7;0;0;Biustonosz jest dość drogi
+1136;8;0;0;Biustonosz jest dość drogi ale naprawdę warty kupienia .
+689;0;1;0;oryginalny
+689;1;0;0;.
+689;2;0;0;oryginalny flakonik
+689;3;0;0;Ma oryginalny flakonik .
+801;0;1;1;klasycznej
+801;1;0;0;klasycznej wersji
+801;2;0;0;zapachu
+801;3;0;0;Ta
+801;4;0;0;.
+801;5;0;0;no
+801;6;0;0;od klasycznej wersji
+801;7;0;0;się
+801;8;0;0;znacznie
+801;9;0;0;Ta wersja zapachu
+801;10;0;-1;Ta wersja zapachu znacznie różni się od klasycznej wersji no .
+500;0;0;0;dolara
+500;1;0;0;kurs dolara
+500;2;0;0;która
+500;3;0;0;,
+500;4;0;0;amerykańskiej
+500;5;0;0;, która winduje kurs dolara
+500;6;0;0;gospodarki amerykańskiej
+500;7;1;1;doskonałej
+500;8;0;0;doskonałej kondycji gospodarki amerykańskiej , która winduje kurs dolara
+500;9;0;0;wszystkim
+500;10;0;0;Paribas
+500;11;0;0;.
+500;12;0;0;o doskonałej kondycji gospodarki amerykańskiej , która winduje kurs dolara
+500;13;0;0;przede wszystkim
+500;14;0;0;Specjaliści Paribas
+500;15;0;0;Specjaliści Paribas mówią przede wszystkim o doskonałej kondycji gospodarki amerykańskiej , która winduje kurs dolara .
+1118;0;0;0;chłodno
+1118;1;0;0;nam
+1118;2;0;0;się
+1118;3;0;0;że
+1118;4;0;0;,
+1118;5;0;0;wszyscy
+1118;6;0;0;nie
+1118;7;1;1;lepiej
+1118;8;0;0;też
+1118;9;0;0;Sukienka
+1118;10;0;0;, że się robi nam chłodno
+1118;11;0;0;nie widzą wszyscy
+1118;12;1;1;Sukienka też lepiej leży
+1118;13;0;0;)
+1118;14;1;0;Sukienka też lepiej leży i nie widzą wszyscy , że się robi nam chłodno
+1118;15;0;0;Sukienka też lepiej leży i nie widzą wszyscy , że się robi nam chłodno ; )
+52;0;0;0;światowym
+52;1;0;0;rynku światowym
+52;2;0;0;na rynku światowym
+52;3;0;0;toaletowych
+52;4;1;1;najlepszych
+52;5;1;1;najlepszych wód toaletowych na rynku światowym
+52;6;0;0;Gabbana
+52;7;1;1;z najlepszych wód toaletowych na rynku światowym
+52;8;0;0;dolce Gabbana
+52;9;0;0;.
+52;10;1;1;jedną z najlepszych wód toaletowych na rynku światowym
+52;11;0;0;Woda dolce Gabbana
+52;12;0;1;Woda dolce Gabbana jest jedną z najlepszych wód toaletowych na rynku światowym .
+441;0;0;0;zajączka
+441;1;0;0;do zajączka
+441;2;0;0;życiem
+441;3;0;0;by
+441;4;0;0;Kamil
+441;5;1;1;miłość do zajączka
+441;6;0;0;Mało
+441;7;0;0;.
+441;8;0;0;miłość do zajączka Kamil przypłacił by życiem
+441;9;0;0;,
+441;10;0;0;Mało brakowało
+441;11;0;0;Mało brakowało , a miłość do zajączka Kamil przypłacił by życiem .
+1070;0;0;0;.
+1070;1;0;0;biednym
+1070;2;0;0;nie
+1070;3;0;0;Polsce
+1070;4;1;0;nie pomagać biednym .
+1070;5;0;0;W Polsce
+1070;6;0;1;W Polsce lepiej nie pomagać biednym .
+749;0;1;1;przyjemnego
+749;1;1;1;przyjemnego materiału
+749;2;0;0;,
+749;3;0;0;.
+749;4;1;1;, z przyjemnego materiału
+749;5;0;0;jest
+749;6;0;0;Stanik
+749;7;0;0;)
+749;8;1;0;) Stanik jest usztywniany , z przyjemnego materiału .
+749;9;1;0;: ) Stanik jest usztywniany , z przyjemnego materiału .
+749;10;1;0;wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;11;0;0;nie
+749;12;0;0;wcale
+749;13;0;0;niego
+749;14;1;0;wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;15;0;0;których
+749;16;0;0;,
+749;17;0;0;niego gąbeczki
+749;18;1;0;niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;19;0;0;są
+749;20;1;0;do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;21;0;0;załączone są
+749;22;1;0;push-up załączone są do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;23;1;0;to push-up załączone są do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;24;1;0;że to push-up załączone są do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;25;1;0;, że to push-up załączone są do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;26;0;0;Jako , że to push-up załączone są do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+164;0;0;0;tego
+164;1;0;0;tego modelu
+164;2;0;0;z tego modelu
+164;3;0;0;lato z tego modelu
+164;4;0;0;dużej
+164;5;0;0;na lato z tego modelu
+164;6;1;1;fajne
+164;7;0;0;jakieś
+164;8;0;0;dużej miseczce
+164;9;0;0;no
+164;10;1;1;jakieś fajne kolorki na lato z tego modelu
+164;11;0;0;o dużej miseczce
+164;12;1;1;wypuści jakieś fajne kolorki na lato z tego modelu no
+164;13;1;0;wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce
+164;14;0;0;moze
+164;15;0;0;p
+164;16;0;0;moze gaia wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce
+164;17;0;0;moze gaia wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce ; p
+446;0;0;0;tego
+446;1;0;0;podobnym
+446;2;0;0;toalet-wobec tego
+446;3;0;0;odświeżająca
+446;4;1;1;rewelacyjna
+446;5;0;0;mnie
+446;6;0;0;podobnym zapachu
+446;7;0;0;do toalet-wobec tego
+446;8;1;0;rewelacyjna , odświeżająca
+446;9;0;0;dla mnie
+446;10;0;1;o podobnym zapachu
+446;11;0;0;odświeżacza
+446;12;0;0;odświeżacza do toalet-wobec tego
+446;13;1;1;dla mnie rewelacyjna , odświeżająca woda
+446;14;0;0;)
+446;15;0;0;:
+446;16;0;0;stworzenie odświeżacza o podobnym zapachu
+446;17;0;0;do odświeżacza do toalet-wobec tego
+446;18;0;0;te
+446;19;1;0;stworzenie odświeżacza o podobnym zapachu : ) Jak dla mnie rewelacyjna , odświeżająca woda
+446;20;0;0;te wodę do odświeżacza do toalet-wobec tego
+446;21;0;0;poniżej
+446;22;0;0;Opinia
+446;23;0;0;.
+446;24;1;0;o stworzenie odświeżacza o podobnym zapachu : ) Jak dla mnie rewelacyjna , odświeżająca woda
+446;25;0;0;ja
+446;26;0;0;Opinia poniżej porównuje te wodę do odświeżacza do toalet-wobec tego
+446;27;0;0;Opinia poniżej porównuje te wodę do odświeżacza do toalet-wobec tego ja poproszę o stworzenie odświeżacza o podobnym zapachu : ) Jak dla mnie rewelacyjna , odświeżająca woda .
+492;0;0;0;letni
+492;1;0;0;wakacyjny
+492;2;0;0;wakacyjny , letni
+492;3;0;0;wakacyjny , letni zapach
+492;4;0;0;.
+492;5;0;1;na wakacyjny , letni zapach
+492;6;1;1;Fajny
+492;7;0;1;Fajny pomysł na wakacyjny , letni zapach .
+375;0;0;0;kobiety
+375;1;0;0;dla kobiety
+375;2;0;0;prezent dla kobiety
+375;3;0;0;.
+375;4;0;0;na prezent dla kobiety
+375;5;0;0;Bardzo
+375;6;1;1;Bardzo polecam na prezent dla kobiety .
+1131;0;0;0;pozoru
+1131;1;0;0;tragicznie
+1131;2;0;0;z pozoru
+1131;3;0;0;bardzo
+1131;4;-1;0;tragicznie wyglądający
+1131;5;0;0;Taki z pozoru
+1131;6;0;0;.
+1131;7;1;1;bardzo praktyczny
+1131;8;-1;0;Taki z pozoru tragicznie wyglądający biustonosz
+1131;9;0;0;Taki z pozoru tragicznie wyglądający biustonosz jest bardzo praktyczny .
+682;0;0;0;męskiej
+682;1;0;0;zdecydowanej
+682;2;0;0;swoistej
+682;3;0;0;.
+682;4;0;0;zdecydowanej męskiej nuty
+682;5;0;0;charakteru
+682;6;0;0;,
+682;7;1;1;swoistej klasy
+682;8;1;0;swoistej klasy , charakteru , zdecydowanej męskiej nuty .
+682;9;0;0;nim
+682;10;0;0;w nim swoistej klasy , charakteru , zdecydowanej męskiej nuty .
+682;11;-1;0;Brak w nim swoistej klasy , charakteru , zdecydowanej męskiej nuty .
+102;0;0;0;tiulu
+102;1;1;0;ozdobną
+102;2;0;0;z tiulu
+102;3;0;0;.
+102;4;0;0;ozdobną tasiemką
+102;5;0;0;wykonany z tiulu
+102;6;0;0;Jest
+102;7;0;0;Jest wykonany z tiulu wykończony ozdobną tasiemką .
+557;0;0;0;wieczór
+557;1;0;0;.
+557;2;0;0;na wieczór
+557;3;1;1;Idealny na wieczór .
+776;0;0;0;feminizmowi
+776;1;0;0;dzięki feminizmowi
+776;2;1;1;dzięki feminizmowi szczęśliwsza
+776;3;0;0;czy
+776;4;0;0;,
+776;5;0;0;osób
+776;6;0;0;.
+776;7;0;1;, czy jestem dzięki feminizmowi szczęśliwsza
+776;8;0;0;mnie
+776;9;0;0;Kilka osób
+776;10;0;0;Kilka osób spytało mnie , czy jestem dzięki feminizmowi szczęśliwsza .
+1158;0;0;0;antyperspirantem
+1158;1;0;0;z antyperspirantem
+1158;2;0;0;zestawach z antyperspirantem
+1158;3;0;0;w zestawach z antyperspirantem
+1158;4;0;0;,
+1158;5;1;0;Różnorodne
+1158;6;0;0;.
+1158;7;0;0;często w zestawach z antyperspirantem
+1158;8;0;0;ceny ,
+1158;9;0;0;Różnorodne pojemności
+1158;10;0;0;Różnorodne pojemności i ceny , często w zestawach z antyperspirantem .
+558;0;0;0;wspaniale
+558;1;0;0;go
+558;2;0;0;kobiety
+558;3;1;1;wspaniale podkreśla
+558;4;0;0;unosi go
+558;5;0;0;biust kobiety
+558;6;1;1;Świetnie
+558;7;0;0;.
+558;8;1;1;unosi go i wspaniale podkreśla
+558;9;1;1;Świetnie kształtuje biust kobiety
+558;10;0;0;Świetnie kształtuje biust kobiety , unosi go i wspaniale podkreśla .
+15;0;1;1;wyjątkowy
+15;1;0;0;.
+15;2;1;1;wyjątkowy klimat
+15;3;0;0;Ma wyjątkowy klimat .
+400;0;1;0;wiosennym
+400;1;0;0;takim
+400;2;0;0;takim wiosennym porankiem
+400;3;0;0;.
+400;4;0;0;z takim wiosennym porankiem
+400;5;0;0;się
+400;6;0;0;osobiście
+400;7;0;0;Mi
+400;8;0;0;Mi osobiście kojarzą się z takim wiosennym porankiem .
+1126;0;1;1;atrakcyjnej
+1126;1;1;1;atrakcyjnej kolorystyce
+1126;2;0;0;.
+1126;3;1;1;w atrakcyjnej kolorystyce
+1126;4;0;1;Wykonany w atrakcyjnej kolorystyce .
+533;0;0;0;dotyku
+533;1;0;0;w dotyku
+533;2;0;0;.
+533;3;1;1;przyjemny w dotyku
+533;4;0;0;Gładki
+533;5;0;1;Gładki i przyjemny w dotyku .
+491;0;0;0;całego
+491;1;0;0;całego dnia
+491;2;0;0;ciągu całego dnia
+491;3;0;0;goleniu
+491;4;0;0;również
+491;5;0;0;w ciągu całego dnia
+491;6;0;0;również po goleniu
+491;7;0;0;służyć w ciągu całego dnia
+491;8;0;0;.
+491;9;0;0;służyć w ciągu całego dnia jak również po goleniu
+491;10;0;0;Może służyć w ciągu całego dnia jak również po goleniu .
+734;0;0;0;oszczędności
+734;1;0;0;nie
+734;2;0;0;nie części oszczędności
+734;3;0;0;na nie części oszczędności
+734;4;0;0;pewnością
+734;5;0;0;wydanie na nie części oszczędności
+734;6;0;0;nie
+734;7;0;0;się
+734;8;0;0;z pewnością
+734;9;0;0;na wydanie na nie części oszczędności
+734;10;0;0;się
+734;11;0;0;już
+734;12;0;0;ktoś
+734;13;0;0;.
+734;14;1;1;z pewnością się nie zawiedzie
+734;15;0;0;ktoś już zdecyduje się na wydanie na nie części oszczędności
+734;16;0;0;Jeżeli
+734;17;0;0;Jeżeli ktoś już zdecyduje się na wydanie na nie części oszczędności , z pewnością się nie zawiedzie .
+224;0;0;0;suknię
+224;1;-1;0;oszpecić suknię
+224;2;0;0;które
+224;3;0;0;,
+224;4;-1;0;, które mogły oszpecić suknię
+224;5;1;-1;twarde
+224;6;0;0;względu
+224;7;-1;0;twarde miseczki , które mogły oszpecić suknię
+224;8;0;0;ze względu
+224;9;0;0;.
+224;10;-1;0;na twarde miseczki , które mogły oszpecić suknię
+224;11;0;0;jedynie ze względu
+224;12;0;0;się
+224;13;0;0;m
+224;14;0;0;nie
+224;15;0;0;Ja
+224;16;0;0;Ja nie zdecydowała m się jedynie ze względu na twarde miseczki , które mogły oszpecić suknię .
+666;0;0;0;roku
+666;1;0;0;2008 roku
+666;2;0;0;z 2008 roku
+666;3;1;1;najlepszych
+666;4;1;1;najlepszych produktów z 2008 roku
+666;5;0;0;.
+666;6;1;1;z najlepszych produktów z 2008 roku
+666;7;0;0;Zdecydowanie
+666;8;0;0;Zdecydowanie jeden z najlepszych produktów z 2008 roku .
+548;0;0;0;Śląsku
+548;1;0;0;na Śląsku
+548;2;0;0;65-letniego
+548;3;0;0;Chorzowie na Śląsku
+548;4;0;0;65-letniego mężczyznę
+548;5;0;0;w Chorzowie na Śląsku
+548;6;0;0;przez 65-letniego mężczyznę
+548;7;0;0;wczoraj
+548;8;0;0;,
+548;9;-1;0;porwana wczoraj przez 65-letniego mężczyznę w Chorzowie na Śląsku
+548;10;0;0;,
+548;11;0;0;Pięcioletnia
+548;12;0;0;.
+548;13;0;0;przytomność
+548;14;0;0;wieczorem
+548;15;0;0;Pięcioletnia dziewczynka , porwana wczoraj przez 65-letniego mężczyznę w Chorzowie na Śląsku ,
+548;16;0;0;Pięcioletnia dziewczynka , porwana wczoraj przez 65-letniego mężczyznę w Chorzowie na Śląsku , odzyskała wieczorem przytomność .
+323;0;0;0;wizytowe
+323;1;0;0;koszule wizytowe
+323;2;0;0;.
+323;3;0;0;pod koszule wizytowe
+323;4;0;0;szczególnie
+323;5;1;1;Polecam szczególnie pod koszule wizytowe .
+290;0;0;0;flakony
+290;1;1;1;Ciekawy
+290;2;0;0;kupującego
+290;3;0;0;kolor flakony
+290;4;1;1;Ciekawy kształt
+290;5;0;0;.
+290;6;0;0;uwagę kupującego
+290;7;0;0;zdecydowanie
+290;8;1;1;Ciekawy kształt i kolor flakony
+290;9;0;0;Ciekawy kształt i kolor flakony zdecydowanie przyciąga uwagę kupującego .
+376;0;0;0;tym
+376;1;0;0;najczulszym
+376;2;0;0;tym wypadku
+376;3;0;0;.
+376;4;0;1;najczulszym instrumentem
+376;5;0;0;w tym wypadku
+376;6;0;0;Sen
+376;7;0;0;Sen w tym wypadku jest najczulszym instrumentem .
+890;0;0;0;pewnych
+890;1;0;1;pewnych zasad
+890;2;0;0;społecznego
+890;3;0;1;według pewnych zasad
+890;4;0;0;go
+890;5;0;0;życia społecznego
+890;6;1;1;harmonijnego
+890;7;0;0;organizowania go według pewnych zasad
+890;8;0;0;harmonijnego ułożenia życia społecznego
+890;9;0;1;harmonijnego ułożenia życia społecznego i organizowania go według pewnych zasad
+890;10;0;0;.
+890;11;0;1;sposób harmonijnego ułożenia życia społecznego i organizowania go według pewnych zasad
+890;12;0;0;Republika
+890;13;0;0;Republika to sposób harmonijnego ułożenia życia społecznego i organizowania go według pewnych zasad .
+1155;0;0;0;perfum
+1155;1;0;0;świecie perfum
+1155;2;0;0;w świecie perfum
+1155;3;1;0;uznaną
+1155;4;0;0;ta
+1155;5;0;0;.
+1155;6;1;0;uznaną markę w świecie perfum
+1155;7;0;0;Firma ta
+1155;8;0;0;Firma ta ma uznaną markę w świecie perfum .
+283;0;0;0;niezbyt
+283;1;-1;1;niezbyt ładny
+283;2;0;0;.
+283;3;-1;1;flakonik niezbyt ładny
+283;4;0;1;Jedynie flakonik niezbyt ładny .
+1073;0;0;0;bardzo
+1073;1;0;0;koktailowy
+1073;2;1;1;bardzo fajna
+1073;3;0;0;Biustonosz koktailowy
+1073;4;0;0;.
+1073;5;1;1;bardzo fajna nowość
+1073;6;0;0;Gorsenia Biustonosz koktailowy
+1073;7;0;1;Gorsenia Biustonosz koktailowy to bardzo fajna nowość .
+1116;0;0;0;jaki
+1116;1;-1;1;najgorszy
+1116;2;0;0;się
+1116;3;0;0;mi
+1116;4;-1;1;najgorszy biustonosz jaki
+1116;5;0;0;mi się nosić
+1116;6;-1;1;najgorszy biustonosz jaki zdarzyło
+1116;7;-1;0;to najgorszy biustonosz jaki zdarzyło mi się nosić
+1116;8;0;0;,
+1116;9;0;0;.
+1116;10;-1;0;, że to najgorszy biustonosz jaki zdarzyło mi się nosić
+1116;11;0;0;Uważam , że to najgorszy biustonosz jaki zdarzyło mi się nosić .
+194;0;0;0;bardzo
+194;1;1;1;bardzo ekskluzywny
+194;2;0;0;.
+194;3;1;1;bardzo ekskluzywny produkt
+194;4;0;0;Jest
+194;5;0;0;Jest to bardzo ekskluzywny produkt .
+1037;0;0;0;np
+1037;1;0;0;wieczorne
+1037;2;0;0;- np
+1037;3;0;0;wieczorne wyjścia
+1037;4;0;0;.
+1037;5;0;0;codzień - np
+1037;6;0;0;także
+1037;7;0;0;na wieczorne wyjścia
+1037;8;0;0;także na codzień - np .
+1037;9;0;0;,
+1037;10;1;1;Idealne na wieczorne wyjścia
+1037;11;0;0;Idealne na wieczorne wyjścia , a także na codzień - np .
+1006;0;0;0;lodowatej
+1006;1;0;0;lodowatej wodzie
+1006;2;0;0;w lodowatej wodzie
+1006;3;0;0;poszukiwanych
+1006;4;0;-1;katastrofy
+1006;5;0;0;przeżycie w lodowatej wodzie
+1006;6;0;0;poszukiwanych osób
+1006;7;0;0;od katastrofy
+1006;8;0;0;godzinach
+1006;9;0;0;ponad
+1006;10;0;0;na przeżycie w lodowatej wodzie
+1006;11;0;0;z poszukiwanych osób
+1006;12;0;0;ponad 30 godzinach od katastrofy
+1006;13;0;0;.
+1006;14;0;1;szans na przeżycie w lodowatej wodzie
+1006;15;0;0;nie
+1006;16;0;0;żadna z poszukiwanych osób
+1006;17;0;0;Po ponad 30 godzinach od katastrofy
+1006;18;0;0;Po ponad 30 godzinach od katastrofy żadna z poszukiwanych osób nie ma szans na przeżycie w lodowatej wodzie .
+886;0;0;0;bardzo
+886;1;1;1;fajny
+886;2;0;0;toaletowa
+886;3;0;0;Ta
+886;4;0;0;bardzo lekki
+886;5;1;1;fajny męski
+886;6;0;0;Ta woda toaletowa
+886;7;0;0;.
+886;8;0;-1;bardzo lekki zapach
+886;9;0;0;,
+886;10;1;1;Ta woda toaletowa ma fajny męski
+886;11;0;0;Ta woda toaletowa ma fajny męski , ale bardzo lekki zapach .
+1140;0;0;0;.
+1140;1;-1;-1;myląca
+1140;2;0;0;zapachu
+1140;3;0;0;Nazwa zapachu myląca .
+69;0;0;0;gustu
+69;1;0;0;do gustu
+69;2;0;0;nie
+69;3;1;0;przypaść do gustu
+69;4;-1;0;nie każdemu
+69;5;0;0;że
+69;6;0;0;,
+69;7;0;0;, że nie każdemu może przypaść do gustu
+69;8;0;0;wiadomo , że nie każdemu może przypaść do gustu
+69;9;0;0;,
+69;10;1;1;rewelacyjna
+69;11;0;1;rewelacyjna , ale wiadomo , że nie każdemu może przypaść do gustu
+69;12;0;0;prostu
+69;13;0;0;zapachowa
+69;14;0;0;.
+69;15;0;0;po prostu rewelacyjna , ale wiadomo , że nie każdemu może przypaść do gustu
+69;16;0;0;Nuta zapachowa
+69;17;0;0;Nuta zapachowa jest po prostu rewelacyjna , ale wiadomo , że nie każdemu może przypaść do gustu .
+98;0;0;0;lato
+98;1;0;0;.
+98;2;0;0;na lato
+98;3;1;1;przyjemny
+98;4;0;0;,
+98;5;0;0;lekki
+98;6;0;0;lekki , przyjemny , na lato .
+711;0;0;0;liczne
+711;1;0;0;wywołuje liczne
+711;2;0;0;otoczeniu
+711;3;0;0;otoczeniu i wywołuje liczne
+711;4;0;0;w otoczeniu i wywołuje liczne
+711;5;0;0;ludzi w otoczeniu i wywołuje liczne
+711;6;1;1;przyjemne
+711;7;0;0;uwagę ludzi w otoczeniu i wywołuje liczne
+711;8;1;1;przyjemne komentarze
+711;9;0;0;,
+711;10;0;0;Zwraca uwagę ludzi w otoczeniu i wywołuje liczne
+711;11;0;0;)
+711;12;1;0;Zwraca uwagę ludzi w otoczeniu i wywołuje liczne , choć przyjemne komentarze
+711;13;0;0;Zwraca uwagę ludzi w otoczeniu i wywołuje liczne , choć przyjemne komentarze : )
+478;0;0;0;cały
+478;1;0;0;cały dzień
+478;2;0;0;kropli
+478;3;0;0;.
+478;4;0;0;na cały dzień
+478;5;0;0;Kilka kropli
+478;6;1;1;Kilka kropli wystarcza na cały dzień .
+656;0;0;0;gospodarczym
+656;1;0;0;obrocie gospodarczym
+656;2;0;0;Barda
+656;3;0;0;pieniędzy
+656;4;0;0;w obrocie gospodarczym
+656;5;0;0;że
+656;6;0;0;,
+656;7;0;0;z Barda
+656;8;0;0;.
+656;9;0;0;, że w obrocie gospodarczym brakuje pieniędzy
+656;10;0;0;Przedsiębiorcę z Barda
+656;11;-1;-1;Przedsiębiorcę z Barda niepokoi , że w obrocie gospodarczym brakuje pieniędzy .
+653;0;0;0;kokardką
+653;1;0;0;też
+653;2;0;0;z kokardką
+653;3;1;1;też niepowtarzalny
+653;4;0;0;dziwczęco
+653;5;0;0;bardzo
+653;6;0;0;się
+653;7;1;1;flakonik też niepowtarzalny z kokardką
+653;8;0;0;.
+653;9;1;0;. flakonik też niepowtarzalny z kokardką kojarzy się bardzo dziwczęco
+653;10;0;0;. . flakonik też niepowtarzalny z kokardką kojarzy się bardzo dziwczęco
+686;0;0;0;wozowni
+686;1;0;0;w wozowni
+686;2;0;0;i
+686;3;0;0;kuchni i w wozowni
+686;4;0;0;jedynie
+686;5;0;1;modne
+686;6;0;0;to
+686;7;0;0;jedynie w kuchni i w wozowni
+686;8;0;0;to modne urządzenie
+686;9;0;0;siebie
+686;10;0;0;.
+686;11;0;1;zainstalować to modne urządzenie jedynie w kuchni i w wozowni
+686;12;0;1;U siebie
+686;13;0;1;U siebie pozwolił zainstalować to modne urządzenie jedynie w kuchni i w wozowni .
+1055;0;0;0;nie
+1055;1;0;0;bardzo
+1055;2;0;0;Eternity
+1055;3;0;0;nie każdemu
+1055;4;0;0;bardzo mocny
+1055;5;0;0;kwiatowy
+1055;6;0;0;Klein Eternity
+1055;7;0;0;się
+1055;8;0;0;bardzo mocny , nie każdemu
+1055;9;0;1;zapach kwiatowy
+1055;10;0;0;Calvin Klein Eternity
+1055;11;0;0;.
+1055;12;0;1;bardzo mocny , nie każdemu spodoba się
+1055;13;0;0;,
+1055;14;0;0;Calvin Klein Eternity to zapach kwiatowy
+1055;15;0;0;Calvin Klein Eternity to zapach kwiatowy , ale bardzo mocny , nie każdemu spodoba się .
+61;0;0;0;nim
+61;1;0;0;alkoholu
+61;2;0;0;w nim
+61;3;0;0;nie
+61;4;0;0;wcale
+61;5;0;0;tego
+61;6;0;0;,
+61;7;1;1;super
+61;8;0;0;wcale nie czuć w nim alkoholu
+61;9;0;0;wcale
+61;10;0;0;do tego
+61;11;0;0;owocowy
+61;12;0;0;baaardzo
+61;13;1;0;Zapach super ,
+61;14;0;0;)
+61;15;0;0;do tego wcale a wcale nie czuć w nim alkoholu
+61;16;0;0;,
+61;17;0;0;mega owocowy
+61;18;0;0;,
+61;19;1;1;) Zapach super , baaardzo trwały
+61;20;0;0;wszystko
+61;21;0;0;chyba
+61;22;0;0;Tytuł
+61;23;0;0;.
+61;24;1;0;) Zapach super , baaardzo trwały , mega owocowy , a do tego wcale a wcale nie czuć w nim alkoholu
+61;25;0;0;Tytuł chyba mówi wszystko
+61;26;0;0;Tytuł chyba mówi wszystko ; ) Zapach super , baaardzo trwały , mega owocowy , a do tego wcale a wcale nie czuć w nim alkoholu .
+1018;0;0;0;dość
+1018;1;-1;0;dość wygórowanej
+1018;2;0;0;swej
+1018;3;1;1;wart
+1018;4;-1;0;swej dość wygórowanej ceny
+1018;5;0;1;Blue wart
+1018;6;0;1;Blue wart jest swej dość wygórowanej ceny
+1018;7;0;1;Light Blue wart jest swej dość wygórowanej ceny
+1018;8;0;0;.
+1018;9;0;1;Sądzę Light Blue wart jest swej dość wygórowanej ceny
+1018;10;0;1;Sądzę że Light Blue wart jest swej dość wygórowanej ceny .
+1156;0;0;0;użyciu
+1156;1;0;0;tylko
+1156;2;0;0;tylko w użyciu
+1156;3;1;1;dobra
+1156;4;0;0;.
+1156;5;0;0;nie tylko w użyciu
+1156;6;1;1;Woda dobra
+1156;7;0;0;Woda dobra jest nie tylko w użyciu .
+1050;0;0;0;duże
+1050;1;1;1;śliczne
+1050;2;0;0;Wyeksponowany
+1050;3;0;1;duże koronki
+1050;4;1;1;przez śliczne
+1050;5;0;0;kusząco
+1050;6;0;0;Wyeksponowany biust
+1050;7;0;0;.
+1050;8;0;0;dosyć duże koronki
+1050;9;1;1;Wyeksponowany biust kusząco prześwituje przez śliczne
+1050;10;0;0;Wyeksponowany biust kusząco prześwituje przez śliczne , dosyć duże koronki .
+420;0;0;0;tego
+420;1;0;0;tego zapachu
+420;2;0;0;.
+420;3;0;1;do tego zapachu
+420;4;0;0;doskonale
+420;5;0;0;Opakowanie
+420;6;1;1;Opakowanie doskonale pasuje do tego zapachu .
+646;0;0;0;cały
+646;1;0;0;cały dzień
+646;2;0;0;przez cały dzień
+646;3;0;0;mi przez cały dzień
+646;4;0;0;towarzyszy mi przez cały dzień
+646;5;0;0;, towarzyszy mi przez cały dzień
+646;6;0;0;I
+646;7;0;0;.
+646;8;0;0;I czuję , towarzyszy mi przez cały dzień
+646;9;0;0;I czuję , że towarzyszy mi przez cały dzień .
+763;0;1;0;rozumu
+763;1;-1;0;pozbawioną rozumu
+763;2;-1;0;głupią
+763;3;0;-1;głupią albo pozbawioną rozumu
+763;4;0;0;mnie
+763;5;0;0;ś
+763;6;0;0;aby
+763;7;0;0;,
+763;8;0;0;.
+763;9;0;0;, aby ś nazywał mnie głupią albo pozbawioną rozumu
+763;10;0;0;nie
+763;11;0;0;zdecydowanie
+763;12;0;0;Ale
+763;13;0;0;Ale zdecydowanie nie pozwalam , aby ś nazywał mnie głupią albo pozbawioną rozumu .
+353;0;0;0;dość
+353;1;0;0;swą
+353;2;0;0;co
+353;3;0;0;dość natarczywą
+353;4;0;0;swą intensywnością
+353;5;0;0;dzień
+353;6;0;0;Na co
+353;7;0;0;.
+353;8;0;0;dość natarczywą zmysłowością
+353;9;0;1;Na co dzień przytłacza swą intensywnością
+353;10;0;0;Na co dzień przytłacza swą intensywnością i dość natarczywą zmysłowością .
+816;0;0;0;.
+816;1;0;0;swojej
+816;2;1;1;Godny
+816;3;0;0;Godny swojej ceny .
+272;0;0;1;historyczną
+272;1;0;0;sporą
+272;2;0;0;to
+272;3;0;0;.
+272;4;1;0;sporą wartość historyczną
+272;5;0;0;Znalezisko to
+272;6;0;0;Znalezisko to posiada sporą wartość historyczną .
+146;0;-1;0;kwaśny
+146;1;0;0;- kwaśny
+146;2;0;0;słodko - kwaśny
+146;3;0;0;- słodko - kwaśny
+146;4;0;0;dość
+146;5;0;0;.
+146;6;0;0;dość lekki - słodko - kwaśny
+146;7;0;0;Zapach dość lekki - słodko - kwaśny .
+356;0;0;0;taki
+356;1;0;0;zbyt
+356;2;0;0;taki produkt
+356;3;-1;-1;zbyt wysoka
+356;4;0;0;.
+356;5;0;-1;za taki produkt
+356;6;-1;-1;Cena zbyt wysoka
+356;7;0;0;Cena zbyt wysoka jak za taki produkt .
+149;0;0;0;No
+149;1;-1;0;przereklamowany
+149;2;0;-1;No 5
+149;3;0;0;mnie
+149;4;0;0;.
+149;5;-1;-1;przereklamowany zapach
+149;6;0;1;Chanel No 5
+149;7;0;0;dla mnie
+149;8;0;0;Jak
+149;9;0;1;Jak dla mnie Chanel No 5 to przereklamowany zapach .
+716;0;0;0;ciała
+716;1;0;0;do ciała
+716;2;0;0;się
+716;3;1;1;dobrze
+716;4;0;0;Bardzo
+716;5;0;0;.
+716;6;0;0;dopasowuje się do ciała
+716;7;1;1;Bardzo dobrze leży
+716;8;0;0;Bardzo dobrze leży i dopasowuje się do ciała .
+813;0;1;0;wrażliwej
+813;1;0;0;mojej
+813;2;0;0;tym
+813;3;0;0;mojej wrażliwej skóry
+813;4;0;0;nie
+813;5;0;0;przy tym
+813;6;0;0;odpowiednio
+813;7;0;0;się
+813;8;0;0;Sam
+813;9;0;0;.
+813;10;1;1;przy tym nie podrażnia mojej wrażliwej skóry
+813;11;1;0;Sam się odpowiednio układa
+813;12;0;0;Sam się odpowiednio układa a przy tym nie podrażnia mojej wrażliwej skóry .
+307;0;1;0;najmłodszych
+307;1;0;0;tych
+307;2;0;0;tych najmłodszych klientów
+307;3;0;0;oczekiwaniom tych najmłodszych klientów
+307;4;0;0;tradycjami
+307;5;0;1;naprzeciw oczekiwaniom tych najmłodszych klientów
+307;6;0;0;z tradycjami
+307;7;0;0;.
+307;8;0;1;wyjść naprzeciw oczekiwaniom tych najmłodszych klientów
+307;9;0;0;Firma z tradycjami
+307;10;0;0;Firma z tradycjami postanowiła wyjść naprzeciw oczekiwaniom tych najmłodszych klientów .
+120;0;0;0;bardzo
+120;1;0;0;.
+120;2;1;1;bardzo estetyczny
+120;3;0;0;Biustonosz
+120;4;0;0;Biustonosz jest bardzo estetyczny .
+706;0;0;0;przedmurza
+706;1;0;0;wieków
+706;2;0;0;charakterze przedmurza
+706;3;0;0;tyle wieków
+706;4;0;0;.
+706;5;0;0;w charakterze przedmurza
+706;6;0;0;Zachodowi
+706;7;0;0;śmy
+706;8;0;0;Przez tyle wieków
+706;9;1;0;Przez tyle wieków pomagali śmy Zachodowi w charakterze przedmurza .
+705;0;0;0;napastników
+705;1;0;0;.
+705;2;0;0;kilku napastników
+705;3;-1;0;Zabili kilku napastników .
+544;0;0;0;polecenia
+544;1;0;0;ten
+544;2;1;1;wart polecenia
+544;3;0;0;ten stanik
+544;4;0;0;że
+544;5;0;0;,
+544;6;0;0;.
+544;7;1;1;, że ten stanik jest wart polecenia
+544;8;0;0;Uważam , że ten stanik jest wart polecenia .
+170;0;0;0;nie
+170;1;1;1;oryginalne
+170;2;0;1;nie wygórowana
+170;3;0;1;oryginalne perfumy
+170;4;0;0;jak
+170;5;0;0;.
+170;6;0;-1;być nie wygórowana
+170;7;0;0;się
+170;8;0;0;mi
+170;9;0;1;za oryginalne perfumy
+170;10;0;0;Cena jak
+170;11;0;0;Cena jak za oryginalne perfumy wydaję mi się być nie wygórowana .
+269;0;1;1;pomocy
+269;1;0;0;niesienia pomocy
+269;2;0;0;To
+269;3;0;0;.
+269;4;0;0;umiejętnością niesienia pomocy
+269;5;0;0;się
+269;6;0;0;To zwierzę
+269;7;0;1;To zwierzę wyróżnia się umiejętnością niesienia pomocy .
+1108;0;0;0;bardzo
+1108;1;0;0;bardzo
+1108;2;0;0;osobiście
+1108;3;0;0;mnie
+1108;4;0;0;który
+1108;5;0;0;,
+1108;6;1;1;słodki
+1108;7;0;0;kwiatowy
+1108;8;0;0;,
+1108;9;0;0;bardzo specyficzny
+1108;10;1;0;, który mnie osobiście bardzo odpowiada
+1108;11;0;0;bardzo specyficzny , kwiatowy , słodki
+1108;12;0;0;.
+1108;13;1;1;bardzo specyficzny , kwiatowy , słodki zapach , który mnie osobiście bardzo odpowiada
+1108;14;0;0;Ma bardzo specyficzny , kwiatowy , słodki zapach , który mnie osobiście bardzo odpowiada .
+930;0;0;0;aplikacji
+930;1;0;0;której
+930;2;0;0;sposób aplikacji
+930;3;0;0;trudno
+930;4;0;0;na której
+930;5;0;0;,
+930;6;-1;1;, na której trudno znaleźć sposób aplikacji
+930;7;0;0;metalowa
+930;8;-1;0;metalowa kula , na której trudno znaleźć sposób aplikacji
+930;9;0;0;niezwykle
+930;10;0;0;pierwszej
+930;11;-1;0;– metalowa kula , na której trudno znaleźć sposób aplikacji
+930;12;0;1;niezwykle oryginalny
+930;13;0;0;pierwszej kolejności
+930;14;0;0;.
+930;15;0;0;niezwykle oryginalny flakon – metalowa kula , na której trudno znaleźć sposób aplikacji
+930;16;0;0;w pierwszej kolejności
+930;17;0;0;Uwagę
+930;18;0;0;Uwagę zwraca w pierwszej kolejności niezwykle oryginalny flakon – metalowa kula , na której trudno znaleźć sposób aplikacji .
+956;0;0;0;naprawdę
+956;1;1;1;naprawdę przepiękny
+956;2;1;1;to naprawdę przepiękny
+956;3;1;1;J`adore to naprawdę przepiękny
+956;4;0;0;.
+956;5;1;1;J`adore to naprawdę przepiękny zapach
+956;6;0;0;Dior
+956;7;0;1;Christian Dior J`adore to naprawdę przepiękny zapach .
+948;0;1;1;miłość
+948;1;0;0;tak
+948;2;0;1;namiętny
+948;3;0;0;.
+948;4;0;0;tak jak miłość
+948;5;0;1;namiętny zapach
+948;6;0;0;Bardzo
+948;7;0;1;Bardzo gorący namiętny zapach tak jak miłość .
+770;0;0;0;poszukiwanych
+770;1;0;1;poszukiwanych produktów
+770;2;0;1;kupno poszukiwanych produktów
+770;3;0;0;klientów
+770;4;0;1;na kupno poszukiwanych produktów
+770;5;0;1;najkorzystniejsze
+770;6;0;0;zlecenie klientów
+770;7;0;1;najkorzystniejsze oferty na kupno poszukiwanych produktów
+770;8;0;0;na zlecenie klientów
+770;9;0;0;która
+770;10;0;0;,
+770;11;0;1;, która na zlecenie klientów wykorzystuje najkorzystniejsze oferty na kupno poszukiwanych produktów
+770;12;0;0;.
+770;13;0;0;spółka , która na zlecenie klientów wykorzystuje najkorzystniejsze oferty na kupno poszukiwanych produktów
+770;14;0;0;To spółka , która na zlecenie klientów wykorzystuje najkorzystniejsze oferty na kupno poszukiwanych produktów .
+313;0;0;0;tego
+313;1;0;0;tego produktu
+313;2;0;0;z tego produktu
+313;3;1;0;zadowolona z tego produktu
+313;4;1;1;100% zadowolona z tego produktu
+313;5;0;0;mi
+313;6;0;0;koleżanki
+313;7;1;0;w 100% zadowolona z tego produktu
+313;8;0;0;koleżanki mi zazdroszczą
+313;9;0;0;,
+313;10;1;1;Jestem w 100% zadowolona z tego produktu
+313;11;0;0;)
+313;12;1;0;Jestem w 100% zadowolona z tego produktu , a koleżanki mi zazdroszczą
+313;13;0;0;Jestem w 100% zadowolona z tego produktu , a koleżanki mi zazdroszczą : )
+728;0;1;1;ładną
+728;1;0;0;.
+728;2;1;1;ładną buteleczkę
+728;3;0;0;bardzo
+728;4;0;0;Woda
+728;5;0;0;Woda ma bardzo ładną buteleczkę .
+566;0;0;0;skórze
+566;1;0;0;na skórze
+566;2;0;0;się
+566;3;1;1;świetnie
+566;4;0;0;się
+566;5;0;0;mi
+566;6;0;0;strasznie
+566;7;0;0;Zapach
+566;8;0;0;.
+566;9;1;1;świetnie komponuje się na skórze
+566;10;1;1;Zapach strasznie mi się podoba
+566;11;0;0;Zapach strasznie mi się podoba , świetnie komponuje się na skórze .
+764;0;0;0;Pragi
+764;1;0;0;z Pragi
+764;2;0;1;młodych
+764;3;0;0;siebie
+764;4;0;0;stołecznych
+764;5;-1;-1;młodych przestępców z Pragi
+764;6;0;0;wokół siebie
+764;7;0;0;,
+764;8;0;0;stołecznych policjantów
+764;9;0;0;.
+764;10;0;0;zgromadzić wokół siebie młodych przestępców z Pragi
+764;11;0;0;się
+764;12;0;0;mu
+764;13;0;0;Według stołecznych policjantów ,
+764;14;0;0;Według stołecznych policjantów , udało mu się zgromadzić wokół siebie młodych przestępców z Pragi .
+869;0;0;0;nastroszony
+869;1;0;0;nastroszony Buzek
+869;2;0;0;telewizorze
+869;3;0;0;jak nastroszony Buzek
+869;4;0;0;równie
+869;5;0;0;w telewizorze
+869;6;-1;0;Nastroszony
+869;7;0;0;.
+869;8;1;1;równie zabawny jak nastroszony Buzek
+869;9;0;0;Nastroszony w telewizorze Biernacki
+869;10;0;0;Nastroszony w telewizorze Biernacki jest równie zabawny jak nastroszony Buzek .
+182;0;0;0;d&
+182;1;0;0;d& g
+182;2;0;0;od d& g
+182;3;1;1;najlepsze od d& g
+182;4;1;1;, najlepsze od d& g
+182;5;0;1;ulubionych
+182;6;1;1;ulubionych perfum , najlepsze od d& g
+182;7;1;1;z ulubionych perfum , najlepsze od d& g
+182;8;1;1;jedne z ulubionych perfum , najlepsze od d& g
+182;9;0;0;.
+182;10;1;1;moje jedne z ulubionych perfum , najlepsze od d& g
+182;11;0;0;to
+182;12;0;0;Są to moje jedne z ulubionych perfum , najlepsze od d& g .
+953;0;1;0;silny
+953;1;0;0;.
+953;2;0;1;silny zapach
+953;3;0;0;Mają silny zapach .
+1114;0;0;0;różu
+1114;1;1;1;śliczny
+1114;2;0;0;-
+1114;3;1;1;- śliczny odcień różu
+1114;4;0;0;kobiecy
+1114;5;0;0;.
+1114;6;1;1;kobiecy kolor - śliczny odcień różu
+1114;7;0;0;bardzo
+1114;8;0;0;Ma bardzo kobiecy kolor - śliczny odcień różu .
+590;0;0;0;chyba
+590;1;0;0;raz
+590;2;0;0;kto
+590;3;0;0;,
+590;4;0;0;chyba każdemu
+590;5;1;1;znany
+590;6;0;0;perfumerii
+590;7;0;0;chyba każdemu , kto choć raz
+590;8;0;0;pojemnika znany
+590;9;0;0;raczej
+590;10;0;0;w perfumerii
+590;11;0;0;się
+590;12;0;0;raczej design pojemnika znany chyba każdemu , kto choć raz
+590;13;0;0;może
+590;14;0;0;.
+590;15;0;0;może raczej design pojemnika znany chyba każdemu , kto choć raz pojawił się w perfumerii
+590;16;0;0;,
+590;17;0;0;Zapach
+590;18;0;0;Zapach , a może raczej design pojemnika znany chyba każdemu , kto choć raz pojawił się w perfumerii .
+589;0;-1;0;bladymi
+589;1;0;0;naprawdę
+589;2;0;0;ten
+589;3;0;0;bladymi kolorami
+589;4;0;0;prosiaczkowy
+589;5;-1;0;naprawdę tandetnie
+589;6;0;0;ten biustonosz
+589;7;0;0;że
+589;8;0;0;,
+589;9;0;1;z bladymi kolorami
+589;10;-1;0;prosiaczkowy róż
+589;11;0;0;.
+589;12;-1;1;, że ten biustonosz wygląda naprawdę tandetnie
+589;13;-1;1;prosiaczkowy róż z bladymi kolorami sprawiają
+589;14;0;0;Cukierkowy
+589;15;0;0;Cukierkowy , prosiaczkowy róż z bladymi kolorami sprawiają , że ten biustonosz wygląda naprawdę tandetnie .
+732;0;1;1;znany
+732;1;0;0;znany produkt
+732;2;0;0;jest
+732;3;0;0;że
+732;4;0;0;,
+732;5;0;0;.
+732;6;0;0;, że jest to znany produkt
+732;7;0;0;Myślę , że jest to znany produkt .
+862;0;0;0;mocno
+862;1;-1;-1;ciężki
+862;2;0;0;mocno imbirowy
+862;3;0;0;zapach
+862;4;0;0;.
+862;5;0;0;mocno imbirowy , ciężki
+862;6;0;1;- zapach
+862;7;0;0;EDP - zapach mocno imbirowy , ciężki .
+423;0;0;0;Jasieńskiego
+423;1;0;0;sztuki
+423;2;0;0;zbiorów Jasieńskiego
+423;3;0;0;miłośnika sztuki
+423;4;0;0;obywatela
+423;5;0;0;dla zbiorów Jasieńskiego
+423;6;0;0;obywatela , miłośnika sztuki
+423;7;0;1;naturalnym
+423;8;0;0;muzeum dla zbiorów Jasieńskiego
+423;9;0;0;.
+423;10;0;0;naturalnym odruchem obywatela , miłośnika sztuki
+423;11;0;0;Ufundowanie muzeum dla zbiorów Jasieńskiego
+423;12;0;0;Ufundowanie muzeum dla zbiorów Jasieńskiego było naturalnym odruchem obywatela , miłośnika sztuki .
+840;0;0;0;wydekoltowanych
+840;1;0;0;wieczorowych
+840;2;0;0;wieczorowych , wydekoltowanych
+840;3;0;0;wieczorowych , wydekoltowanych sukienkach
+840;4;0;0;.
+840;5;0;0;przy wieczorowych , wydekoltowanych sukienkach
+840;6;0;0;się
+840;7;1;1;Świetnie
+840;8;0;1;Świetnie się sprawdza przy wieczorowych , wydekoltowanych sukienkach .
+1080;0;-1;0;niemęczący
+1080;1;0;0;.
+1080;2;1;0;niemęczący zapach
+1080;3;0;0;Ciekawy,\
+1080;4;0;0;Ciekawy,\ i niemęczący zapach .
+989;0;0;0;gładką
+989;1;0;0;przezroczystą
+989;2;0;0;który
+989;3;0;0;kwiatowy
+989;4;1;1;ładny
+989;5;0;0;letnia
+989;6;0;1;przezroczystą , gładką
+989;7;0;0;ciekawie
+989;8;0;0;ładny kwiatowy motyw który
+989;9;0;0;.
+989;10;0;0;letnia bluzeczką
+989;11;0;0;pod przezroczystą , gładką
+989;12;1;1;Ma ładny kwiatowy motyw który ciekawie
+989;13;0;1;Ma ładny kwiatowy motyw który ciekawie wygląda pod przezroczystą , gładką letnia bluzeczką .
+843;0;0;0;pantofli
+843;1;0;0;koszuli
+843;2;0;0;.
+843;3;0;0;koszuli i pantofli
+843;4;1;1;Idealne
+843;5;0;0;Idealne uzupełnienie koszuli i pantofli .
+51;0;-1;0;ciosu
+51;1;0;0;góry
+51;2;0;0;do ciosu
+51;3;0;0;ołtarza
+51;4;0;0;szczyt góry
+51;5;0;0;sprzeciwu
+51;6;0;0;gotów do ciosu
+51;7;0;0;nóż
+51;8;0;0;do ołtarza
+51;9;0;0;na szczyt góry
+51;10;0;0;Izaaka
+51;11;0;-1;Bez sprzeciwu
+51;12;0;0;.
+51;13;0;0;jest gotów do ciosu
+51;14;0;0;podnosi nóż
+51;15;0;0;,
+51;16;0;0;przywiązuje do ołtarza
+51;17;0;0;,
+51;18;0;0;Bez sprzeciwu zabiera Izaaka na szczyt góry
+51;19;0;0;Bez sprzeciwu zabiera Izaaka na szczyt góry , przywiązuje do ołtarza , podnosi nóż , jest gotów do ciosu .
+531;0;0;0;kobiecy
+531;1;0;0;kobiecy wygląd
+531;2;1;1;elegancki
+531;3;0;0;.
+531;4;1;1;elegancki i kobiecy wygląd
+531;5;0;0;również
+531;6;0;0;Posiada również elegancki i kobiecy wygląd .
+744;0;0;0;tzw
+744;1;0;0;z tzw
+744;2;0;0;kreacjii z tzw
+744;3;0;0;faktycznie
+744;4;0;0;do kreacjii z tzw
+744;5;0;0;faktycznie bardzo
+744;6;0;0;.
+744;7;1;1;faktycznie bardzo przydatny do kreacjii z tzw
+744;8;0;0;Biustonosz
+744;9;0;0;Biustonosz jest faktycznie bardzo przydatny do kreacjii z tzw .
+691;0;0;0;dość
+691;1;0;0;bluzką
+691;2;0;-1;dość cienkie
+691;3;0;0;pod bluzką
+691;4;0;0;się
+691;5;0;0;nie
+691;6;0;0;dość cienkie ramiączka
+691;7;0;0;.
+691;8;0;1;nie odznacza się pod bluzką
+691;9;0;0;Ma dość cienkie ramiączka
+691;10;0;0;Ma dość cienkie ramiączka , nie odznacza się pod bluzką .
+753;0;0;0;Bardzo
+753;1;0;0;.
+753;2;0;0;butelki
+753;3;1;1;Bardzo fajny
+753;4;0;0;Bardzo fajny desing butelki .
+766;0;0;0;parkiecie
+766;1;0;0;na parkiecie
+766;2;0;0;kusząco
+766;3;0;0;się
+766;4;0;0;wyjątkowo
+766;5;0;0;obracająca się kusząco na parkiecie
+766;6;0;0;.
+766;7;1;1;wyjątkowo wyjątkowa
+766;8;0;0;się
+766;9;0;0;mu
+766;10;0;0;Dziewczyna obracająca się kusząco na parkiecie
+766;11;0;0;Dziewczyna obracająca się kusząco na parkiecie wydała mu się wyjątkowo wyjątkowa .
+1021;0;0;0;dzień
+1021;1;0;0;na dzień
+1021;2;1;1;idealne
+1021;3;0;0;mnie
+1021;4;0;0;.
+1021;5;1;1;idealne perfumy na dzień
+1021;6;0;0;Dla mnie
+1021;7;0;1;Dla mnie to idealne perfumy na dzień .
+582;0;0;0;trudno
+582;1;-1;1;trudno dostępny
+582;2;0;0;drogi
+582;3;0;0;.
+582;4;-1;1;drogi i trudno dostępny
+582;5;0;0;Stanik
+582;6;0;0;Stanik jest drogi i trudno dostępny .
+925;0;0;0;wszytsko
+925;1;0;0;bardzo
+925;2;0;0;wszytsko faktycznie
+925;3;0;0;zmysłowy
+925;4;1;1;wszytsko faktycznie bardzo ładny
+925;5;0;0;bardzo
+925;6;0;0;,
+925;7;1;1;wszytsko faktycznie bardzo ładny , zmysłowy
+925;8;0;0;.
+925;9;0;0;kobiecy
+925;10;1;1;bardzo wyrafinowany
+925;11;1;0;Mimo wszytsko faktycznie bardzo ładny , zmysłowy ,
+925;12;0;1;Mimo wszytsko faktycznie bardzo ładny , zmysłowy , bardzo wyrafinowany zapach kobiecy .
+403;0;1;1;świetnych
+403;1;0;0;.
+403;2;1;0;świetnych zapachów
+403;3;0;0;Duża
+403;4;0;0;Duża gama świetnych zapachów .
+407;0;1;1;fenomenalny
+407;1;0;0;.
+407;2;1;1;fenomenalny zapach
+407;3;0;0;Ma fenomenalny zapach .
+933;0;0;0;amarantowa
+933;1;0;0;- amarantowa
+933;2;0;0;biało - amarantowa
+933;3;1;1;wspaniała
+933;4;0;0;piersi
+933;5;0;0;.
+933;6;0;0;wspaniała biało - amarantowa kokarda
+933;7;0;0;się
+933;8;0;0;Na piersi
+933;9;0;0;Na piersi pyszniła się wspaniała biało - amarantowa kokarda .
+171;0;0;0;użytkowania
+171;1;0;0;codziennego
+171;2;0;0;roku codziennego użytkowania
+171;3;0;0;pół roku codziennego użytkowania
+171;4;0;0;.
+171;5;0;0;na pół roku codziennego użytkowania
+171;6;0;0;mi
+171;7;0;0;ml
+171;8;0;0;100
+171;9;1;0;100 ml wystarczyło mi na pół roku codziennego użytkowania .
+799;0;0;0;starszych
+799;1;0;0;bardziej
+799;2;0;0;starszych panów
+799;3;0;0;raczej
+799;4;0;0;bardziej statecznych
+799;5;0;0;raczej dla starszych panów
+799;6;0;0;.
+799;7;0;0;raczej dla starszych panów i bardziej statecznych
+799;8;0;0;toaletowa
+799;9;0;0;Woda toaletowa raczej dla starszych panów i bardziej statecznych .
+350;0;1;1;młodych
+350;1;0;0;ludzi młodych
+350;2;0;0;,
+350;3;0;0;, dla ludzi młodych
+350;4;0;0;"
+350;5;0;0;"
+350;6;1;0;" energią " , dla ludzi młodych
+350;7;0;0;.
+350;8;1;0;z " energią " , dla ludzi młodych
+350;9;0;0;Woda z " energią " , dla ludzi młodych .
+800;0;0;0;bardziej
+800;1;0;0;bardziej pewny
+800;2;0;0;bardziej
+800;3;0;0;bardziej pewny siebie
+800;4;0;0;się
+800;5;0;0;człowiek
+800;6;0;0;,
+800;7;0;0;Długotrwały
+800;8;1;1;bardziej atrakcyjny
+800;9;0;0;człowiek staje się bardziej pewny siebie
+800;10;0;0;Długotrwały efekt ,
+800;11;0;0;.
+800;12;1;1;człowiek staje się bardziej pewny siebie i bardziej atrakcyjny
+800;13;0;0;Długotrwały efekt , zapewnia
+800;14;0;0;Długotrwały efekt , zapewnia iż człowiek staje się bardziej pewny siebie i bardziej atrakcyjny .
+335;0;1;0;najładniejsze
+335;1;0;0;najstarsze
+335;2;0;1;najstarsze i najładniejsze
+335;3;0;0;.
+335;4;0;1;najstarsze i najładniejsze kostiumy
+335;5;0;0;tu
+335;6;0;0;śmy
+335;7;0;0;-
+335;8;0;0;- Zgromadzili śmy tu najstarsze i najładniejsze kostiumy .
+178;0;0;0;odblaskowych
+178;1;0;0;dróg
+178;2;0;0;znaczków odblaskowych
+178;3;0;0;z dróg
+178;4;1;1;bezpiecznego
+178;5;0;0;stosowania znaczków odblaskowych
+178;6;0;0;bezpiecznego korzystania z dróg
+178;7;0;0;bezpiecznego korzystania z dróg i stosowania znaczków odblaskowych
+178;8;0;0;dotyczącymi bezpiecznego korzystania z dróg i stosowania znaczków odblaskowych
+178;9;0;0;pytaniami dotyczącymi bezpiecznego korzystania z dróg i stosowania znaczków odblaskowych
+178;10;0;0;z pytaniami dotyczącymi bezpiecznego korzystania z dróg i stosowania znaczków odblaskowych
+178;11;0;0;.
+178;12;0;0;ankiety z pytaniami dotyczącymi bezpiecznego korzystania z dróg i stosowania znaczków odblaskowych
+178;13;0;0;Dzieci
+178;14;0;0;-
+178;15;0;0;- Dzieci wypełniały ankiety z pytaniami dotyczącymi bezpiecznego korzystania z dróg i stosowania znaczków odblaskowych .
+1142;0;1;1;świeżym
+1142;1;0;0;świeżym powietrzu
+1142;2;0;0;skórze
+1142;3;0;0;ten
+1142;4;0;1;na świeżym powietrzu
+1142;5;0;0;na skórze
+1142;6;0;0;się
+1142;7;0;0;długo
+1142;8;0;0;Zapach ten
+1142;9;0;0;.
+1142;10;0;1;przebywamy na świeżym powietrzu
+1142;11;0;0;nawet
+1142;12;0;0;,
+1142;13;0;0;Zapach ten długo utrzymuje się na skórze
+1142;14;0;0;Zapach ten długo utrzymuje się na skórze , nawet gdy przebywamy na świeżym powietrzu .
+439;0;0;0;kobiet
+439;1;1;1;prawdziwa
+439;2;0;0;dla kobiet
+439;3;-1;-1;prawdziwa trucizna
+439;4;0;0;.
+439;5;-1;0;nie dla kobiet
+439;6;0;0;,
+439;7;-1;-1;To prawdziwa trucizna
+439;8;0;0;To prawdziwa trucizna , ale nie dla kobiet .
+121;0;0;0;mnie
+121;1;0;0;,
+121;2;0;0;każdy
+121;3;0;0;Dla mnie
+121;4;1;0;święto
+121;5;0;0;Dla mnie każdy dzień ,
+121;6;0;0;)
+121;7;0;0;Dla mnie każdy dzień , to święto
+121;8;0;0;Dla mnie każdy dzień , to święto ; )
+1197;0;0;0;lat
+1197;1;0;0;Mladić
+1197;2;0;0;wielu lat
+1197;3;0;0;Ratko Mladić
+1197;4;0;0;.
+1197;5;0;0;od wielu lat
+1197;6;0;0;się
+1197;7;1;1;bezpieczny
+1197;8;0;0;się
+1197;9;0;0;gen . Ratko Mladić
+1197;10;0;0;wojenny
+1197;11;0;1;serbski
+1197;12;0;0;Ukrywający się od wielu lat
+1197;13;0;0;.
+1197;14;0;0;czuć się bezpieczny
+1197;15;0;0;już
+1197;16;0;0;nie
+1197;17;0;0;Ukrywający się od wielu lat serbski zbrodniarz wojenny gen . Ratko Mladić
+1197;18;0;0;Ukrywający się od wielu lat serbski zbrodniarz wojenny gen . Ratko Mladić nie może już czuć się bezpieczny .
+6;0;1;1;znanej
+6;1;0;0;tak
+6;2;0;0;perfumy
+6;3;0;0;wygórowana
+6;4;0;0;nie
+6;5;0;0;tak znanej firmy
+6;6;0;0;na perfumy
+6;7;0;0;.
+6;8;1;1;na perfumy tak znanej firmy nie jest wygórowana
+6;9;0;0;Cena
+6;10;0;0;Cena jak na perfumy tak znanej firmy nie jest wygórowana .
+924;0;1;1;pomocną
+924;1;0;0;nich
+924;2;0;0;pomocną dłoń
+924;3;0;0;do nich
+924;4;0;0;wyciągnąć do nich pomocną dłoń
+924;5;0;0;się
+924;6;0;0;ktoś
+924;7;0;0;ze
+924;8;0;0;,
+924;9;0;0;.
+924;10;0;0;, ze ktoś zdecydował się wyciągnąć do nich pomocną dłoń
+924;11;0;0;się
+924;12;0;0;Cieszą się , ze ktoś zdecydował się wyciągnąć do nich pomocną dłoń .
\ No newline at end of file
diff --git a/results/Predykcje/klasyfikacje_bez_slow.txt b/results/Predykcje/klasyfikacje_bez_slow.txt
new file mode 100644
index 0000000..a2c6da0
--- /dev/null
+++ b/results/Predykcje/klasyfikacje_bez_slow.txt
@@ -0,0 +1,6318 @@
+id_zdania; pozycja_korenia_frazy_w_zdaniu; etykieta; wskazanie_modelu; fraza 
+348;4;0;0;perfumowana Lacoste Pour Femme
+348;6;1;1;śliczny zapach
+348;7;0;0;Woda perfumowana Lacoste Pour Femme
+348;8;0;1;Woda perfumowana Lacoste Pour Femme ma śliczny zapach .
+870;2;0;1;wspaniałe słodkości
+870;5;0;0;Tu też przyrządzał wspaniałe słodkości .
+225;3;0;0;wieczorne wyjście
+225;4;0;0;na dzień
+225;5;1;1;Dobry zarówno
+225;7;0;0;na wieczorne wyjście
+225;8;1;1;Dobry zarówno na dzień jak
+225;9;0;1;Dobry zarówno na dzień jak i na wieczorne wyjście .
+47;1;0;0;młodym mężczyznom
+47;4;1;1;polecić młodym mężczyznom
+47;5;0;0;Ten produkt
+47;6;0;0;Ten produkt mogę polecić młodym mężczyznom .
+777;3;1;1;bardzo fajne
+777;5;0;0;je parę razy
+777;7;1;1;Perfumy bardzo fajne
+777;8;0;0;Perfumy bardzo fajne miała m je parę razy .
+67;3;0;0;w butelce
+67;4;1;0;dość przystępna
+67;6;0;0;w butelce aż 100ml
+67;8;1;0;Cena dość przystępna
+67;9;0;0;Cena dość przystępna , a w butelce aż 100ml .
+216;1;0;0;z najbliższymi
+216;2;0;0;relacji z najbliższymi
+216;4;0;1;z relacji z najbliższymi
+216;6;0;1;dobrą samoocenę
+216;8;0;0;wynikające z relacji z najbliższymi
+216;10;1;1;lubić siebie
+216;11;0;0;jednak mieć dobrą samoocenę
+216;12;0;0;jakieś zasoby wynikające z relacji z najbliższymi
+216;14;0;1;jednak mieć dobrą samoocenę , lubić siebie
+216;16;0;0;mieć jakieś zasoby wynikające z relacji z najbliższymi
+216;18;0;0;Żeby jednak mieć dobrą samoocenę , lubić siebie ,
+216;19;0;0;Żeby jednak mieć dobrą samoocenę , lubić siebie , dziecko musi mieć jakieś zasoby wynikające z relacji z najbliższymi .
+618;2;0;0;nie często sięgała
+618;3;0;0;po nie często sięgała
+618;6;0;0;by m po nie często sięgała
+618;10;0;0;nie wysoka cena sama by m po nie często sięgała .
+618;11;0;0;Gdyby nie wysoka cena sama by m po nie często sięgała .
+470;1;1;1;wyrafinowanych gustach
+470;2;1;1;o wyrafinowanych gustach
+470;3;1;1;kobiet o wyrafinowanych gustach
+470;4;1;1;dla kobiet o wyrafinowanych gustach
+470;9;1;0;, że stosowny tylko dla kobiet o wyrafinowanych gustach
+470;10;0;0;Uważam , że stosowny tylko dla kobiet o wyrafinowanych gustach .
+380;1;0;0;koszulę nocną
+380;3;0;0;pod koszulę nocną
+380;6;0;1;Świetnie nadaje się pod koszulę nocną .
+1009;2;0;0;, zdecydowanej ,
+1009;5;0;0;pewnej swojej kobiecości , zdecydowanej ,
+1009;8;0;0;każdej kobiety pewnej swojej kobiecości , zdecydowanej ,
+1009;10;0;0;dla romantyczki
+1009;11;0;1;Dla każdej kobiety pewnej swojej kobiecości , zdecydowanej ,
+1009;12;0;1;Dla każdej kobiety pewnej swojej kobiecości , zdecydowanej , oraz dla romantyczki .
+1069;3;0;0;cienkie lekkie sukienki
+1069;4;0;1;cienkie lekkie sukienki i bluzeczki
+1069;5;0;0;pod cienkie lekkie sukienki i bluzeczki
+1069;11;0;0;odparzeń Noszę go pod cienkie lekkie sukienki i bluzeczki
+1069;12;1;0;nie ppowoduje podrażnień
+1069;13;0;0;nie ppowoduje podrażnień i odparzeń Noszę go pod cienkie lekkie sukienki i bluzeczki .
+864;1;0;0;do figury
+864;6;1;1;, który świetnie dopasowuje się do figury
+864;8;1;1;miękkiego materiału , który świetnie dopasowuje się do figury
+864;10;1;1;z miękkiego materiału , który świetnie dopasowuje się do figury
+864;12;0;0;Zrobiony jest z miękkiego materiału , który świetnie dopasowuje się do figury .
+1054;4;1;1;zmysłowych , romantycznych i seksownych
+1054;6;1;1;kobiet zmysłowych , romantycznych i seksownych
+1054;7;0;0;Dla kobiet zmysłowych , romantycznych i seksownych .
+481;2;1;1;ładny fason
+481;4;0;0;Ma bardzo ładny fason .
+20;1;1;-1;czarnej magii
+20;2;0;0;uprawianie czarnej magii
+20;3;0;0;o uprawianie czarnej magii
+20;4;-1;-1;oskarżeń o uprawianie czarnej magii
+20;8;0;-1;ofiarą oskarżeń o uprawianie czarnej magii
+20;9;0;0;coraz częściej
+20;10;0;0;Jego wyznawcy
+20;11;0;0;Jego wyznawcy coraz częściej padają ofiarą oskarżeń o uprawianie czarnej magii .
+556;3;0;0;nad głową
+556;4;0;0;przysłowiowy talerz zupy
+556;5;0;0;dach nad głową
+556;6;0;0;dach nad głową i przysłowiowy talerz zupy
+556;10;0;0;, którzy dali nam dach nad głową i przysłowiowy talerz zupy
+556;13;0;0;takich porządnych ludzi , którzy dali nam dach nad głową i przysłowiowy talerz zupy
+556;14;0;0;na takich porządnych ludzi , którzy dali nam dach nad głową i przysłowiowy talerz zupy
+556;20;0;0;, że trafił em na takich porządnych ludzi , którzy dali nam dach nad głową i przysłowiowy talerz zupy
+556;22;0;0;Do dziś
+556;23;0;1;Do dziś dziękuję Bogu , że trafił em na takich porządnych ludzi , którzy dali nam dach nad głową i przysłowiowy talerz zupy .
+1105;2;0;0;słodki i owocowy
+1105;5;0;1;, jednak słodki i owocowy
+1105;7;0;0;zapach lekki , jednak słodki i owocowy .
+611;1;0;0;własnego rozumu
+611;3;0;0;z własnego rozumu
+611;4;0;0;być ograniczona
+611;6;0;0;radość z własnego rozumu
+611;9;0;0;, że radość z własnego rozumu też może być ograniczona
+611;11;0;0;rozumieć , że radość z własnego rozumu też może być ograniczona
+611;13;0;0;Zaczynał em rozumieć , że radość z własnego rozumu też może być ograniczona .
+445;5;0;0;, że go nie ma
+445;7;0;0;pod sukienką
+445;11;0;0;wydaje się , że go nie ma
+445;12;0;1;Nie wyróżnia się pod sukienką
+445;13;0;0;Nie wyróżnia się pod sukienką , wydaje się , że go nie ma .
+563;2;0;0;się przestać wąchać
+563;9;0;0;, którego wręcz nie da się przestać wąchać
+563;10;1;1;przepiękny , zmysłowy
+563;13;1;1;ona przepiękny , zmysłowy zapach , którego wręcz nie da się przestać wąchać
+563;14;0;0;Ma ona przepiękny , zmysłowy zapach , którego wręcz nie da się przestać wąchać .
+830;1;1;0;energicznej dziewczyny
+830;4;0;1;jak i energicznej dziewczyny
+830;6;0;0;Dla romantyczki jak i energicznej dziewczyny .
+419;1;1;1;go uwielbiają
+419;2;1;1;kobiety go uwielbiają
+419;3;1;1;tego kobiety go uwielbiają
+419;5;1;1;do tego kobiety go uwielbiają
+419;6;0;1;A do tego kobiety go uwielbiają .
+228;3;1;0;Świetna butelka
+228;4;0;0;Świetna butelka i opakowanie .
+604;1;0;1;bardziej odważnych
+604;2;0;0;bardziej odważnych kobiet
+604;4;0;0;do bardziej odważnych kobiet
+604;5;0;0;Skierowany do bardziej odważnych kobiet .
+325;2;0;1;cieszących się życiem
+325;4;0;1;kobiet cieszących się życiem
+325;5;0;0;Dla kobiet cieszących się życiem .
+95;3;0;0;na dłużej
+95;6;0;0;pomidora i cytrusy
+95;7;1;0;uczucie świeżości na dłużej
+95;8;1;1;niepowtarzalnego charakteru
+95;10;0;0;Liść pomidora i cytrusy
+95;12;1;0;dają uczucie świeżości na dłużej
+95;13;1;1;Liść pomidora i cytrusy nadają mu niepowtarzalnego charakteru
+95;14;0;0;Liść pomidora i cytrusy nadają mu niepowtarzalnego charakteru i dają uczucie świeżości na dłużej .
+1161;4;1;0;Dobre wrażenie
+1161;5;0;0;Dobre wrażenie robi już flakon .
+882;1;0;0;wysokiej ceny
+882;5;0;0;, mimo wysokiej ceny
+882;7;0;0;z niego
+882;8;0;0;taki biustonosz
+882;10;1;0;jestem z niego zadowolona , mimo wysokiej ceny
+882;11;0;0;Posiadam taki biustonosz
+882;12;0;0;Posiadam taki biustonosz , jestem z niego zadowolona , mimo wysokiej ceny .
+109;1;0;0;każdą sylwetkę
+109;3;0;1;na każdą sylwetkę
+109;5;1;1;Idealnie pasuje na każdą sylwetkę .
+570;4;1;1;romantycznej i eterycznej
+570;6;1;0;kobiety romantycznej i eterycznej , nienachalny
+570;7;0;0;Dla kobiety romantycznej i eterycznej , nienachalny .
+767;8;0;0;swoich myślach , obawach i wyobrażeniach
+767;9;0;0;izolacji , samotności
+767;10;0;0;zbyt silną
+767;11;0;0;w swoich myślach , obawach i wyobrażeniach
+767;13;0;0;zbyt silną potrzebę izolacji , samotności
+767;14;0;0;zamknięcie się w swoich myślach , obawach i wyobrażeniach
+767;16;0;0;odczuwasz zbyt silną potrzebę izolacji , samotności
+767;18;0;0;na zamknięcie się w swoich myślach , obawach i wyobrażeniach
+767;20;0;0;Jeśli odczuwasz zbyt silną potrzebę izolacji , samotności ,
+767;21;0;0;Jeśli odczuwasz zbyt silną potrzebę izolacji , samotności , nie pozwól na zamknięcie się w swoich myślach , obawach i wyobrażeniach .
+167;3;0;0;być bardziej trwała
+167;5;0;0;w sumie
+167;7;0;0;w sumie mogła by być bardziej trwała
+167;9;1;1;fajna woda
+167;11;0;1;całkiem fajna woda , ale w sumie mogła by być bardziej trwała
+540;2;1;1;jedyny , niepowtarzalny
+540;4;1;1;jedyny , niepowtarzalny zapach
+540;5;0;0;To jedyny , niepowtarzalny zapach .
+104;2;0;0;Jeleniej Góry
+104;3;1;0;korzyści majątkowych
+104;6;0;0;do Jeleniej Góry
+104;7;0;0;żądania i przyjęcia korzyści majątkowych
+104;8;0;-1;przewiezieniu do Jeleniej Góry
+104;10;0;0;zarzuty żądania i przyjęcia korzyści majątkowych
+104;13;0;0;Po przewiezieniu do Jeleniej Góry
+104;14;0;0;Po przewiezieniu do Jeleniej Góry prokurator postawił mu zarzuty żądania i przyjęcia korzyści majątkowych .
+923;5;0;0;na nią
+923;7;0;0;tę wodę toaletowa
+923;8;0;0;Mój tata
+923;10;0;0;nigdy na nią nie narzekał
+923;11;0;0;Mój tata posiada tę wodę toaletowa
+923;12;0;0;Mój tata posiada tę wodę toaletowa i nigdy na nią nie narzekał .
+673;6;0;1;druciki wychodzą
+673;8;-1;0;Fiszbiny również są kiepskie
+673;9;-1;0;Fiszbiny również są kiepskie - druciki wychodzą i kłują .
+664;2;0;0;do środka
+664;3;0;0;je powiększając
+664;5;0;0;piersi do środka
+664;9;0;0;zbiera piersi do środka delikatnie je powiększając
+664;10;1;1;Układa się dobrze
+664;11;0;0;Układa się dobrze i zbiera piersi do środka delikatnie je powiększając .
+842;1;0;0;białe bluzki
+842;3;0;0;pod białe bluzki
+842;4;1;1;Polecam pod białe bluzki .
+958;1;0;1;optycznie powiększone
+958;3;0;0;optycznie powiększone piersi
+958;5;0;0;Efektem jest optycznie powiększone piersi .
+966;3;0;0;Super podtrzumuje piersi .
+1180;7;0;0;tył głowy
+1180;9;0;0;, który później okazał się śmiertelny ,
+1180;12;0;0;w tył głowy
+1180;13;0;-1;metalowym krzesłem
+1180;15;0;0;Pierwszy cios , który później okazał się śmiertelny ,
+1180;16;0;0;Pierwszy cios , który później okazał się śmiertelny , został zadany metalowym krzesłem w tył głowy .
+774;4;0;0;bardzo ja
+774;5;0;0;tej wody
+774;7;0;0;Mój chłopak
+774;9;1;0;bardzo ja sobie chwali
+774;10;0;1;Mój chłopak teraz używa tej wody
+774;11;0;1;Mój chłopak teraz używa tej wody i bardzo ja sobie chwali .
+659;3;0;0;Nazwa zapachu myląca .
+772;2;1;1;bardzo dobry
+772;8;1;1;produkt jest bardzo dobry jakościowo
+772;10;1;0;Cena nie jest wygórowana
+772;11;0;0;Cena nie jest wygórowana , a produkt jest bardzo dobry jakościowo .
+935;1;0;0;bardzo ozdobny
+935;4;0;0;bardzo ozdobny biustonosz
+935;5;1;1;Pięknie wykonany
+935;6;0;1;Pięknie wykonany i bardzo ozdobny biustonosz .
+1071;1;0;0;Chanel jakie
+1071;6;1;1;najlepsze perfumy Chanel jakie
+1071;7;0;0;Według mnie
+1071;8;0;0;Według mnie najlepsze perfumy Chanel jakie miała m .
+832;2;1;1;bardzo dobry
+832;4;1;1;bardzo dobry gatunkowo biustonosza
+832;6;0;0;Jest to bardzo dobry gatunkowo biustonosza .
+917;3;-1;0;moim mrocznym świecie
+917;6;0;0;dla niego
+917;8;-1;0;w moim mrocznym świecie
+917;10;0;0;Jednak w moim mrocznym świecie nie ma dla niego miejsca .
+1185;1;0;1;zdrowy rozsądek
+1185;3;0;0;niż zdrowy rozsądek
+1185;5;0;0;poczucie krzywdy
+1185;7;0;1;silniejsze niż zdrowy rozsądek
+1185;8;0;0;poczucie krzywdy i duma
+1185;10;0;0;Ale poczucie krzywdy i duma były silniejsze niż zdrowy rozsądek .
+1151;5;0;0;ml wody
+1151;6;0;0;, który mieści 200
+1151;9;0;0;Ciekawa kolorystyka flakonu , który mieści 200 ml wody .
+568;2;0;0;na zimę
+568;3;1;1;Polecam na zimę .
+657;1;0;0;tego stanika
+657;5;0;0;Cena tego stanika
+657;6;0;0;Cena tego stanika jest bardzo dobra .
+807;3;0;-1;produktem markowym
+807;4;0;0;Woda ta
+807;5;0;0;Woda ta jest produktem markowym .
+1130;3;1;1;dodatkowym plusem
+1130;5;0;0;odpinane ramiączka więc
+1130;7;1;0;odpinane ramiączka więc to jest dodatkowym plusem
+1130;8;0;0;Ma odpinane ramiączka więc to jest dodatkowym plusem .
+92;2;0;0;stacjonarnego używania
+92;3;-1;-1;bardzo ciężki
+92;5;0;0;do stacjonarnego używania
+92;7;-1;-1;flakon bardzo ciężki
+92;8;0;0;pojemność 100ml
+92;10;0;0;, tylko do stacjonarnego używania
+92;11;0;0;pojemność 100ml , flakon bardzo ciężki
+92;12;0;0;Mam pojemność 100ml , flakon bardzo ciężki , tylko do stacjonarnego używania .
+1032;1;0;0;codziennego noszenia
+1032;3;0;0;do codziennego noszenia
+1032;4;0;0;w dotyku
+1032;5;1;1;wygodny do codziennego noszenia
+1032;6;1;1;miękki w dotyku
+1032;8;1;1;miękki w dotyku oraz wygodny do codziennego noszenia
+1032;9;0;0;Jest miękki w dotyku oraz wygodny do codziennego noszenia .
+771;1;0;0;- kwiatowy
+771;3;0;0;owocowo - kwiatowy
+771;5;1;1;pełen życia
+771;7;0;0;owocowo - kwiatowy zapach
+771;8;1;0;owocowo - kwiatowy zapach , pełen życia i energii
+771;13;1;0;Gabbana Light Blue to owocowo - kwiatowy zapach , pełen życia i energii
+771;14;0;0;Dolce& Gabbana Light Blue to owocowo - kwiatowy zapach , pełen życia i energii !
+24;2;0;0;jego męskość
+24;3;0;0;do mężczyzny
+24;5;1;1;podkreśla jego męskość
+24;6;1;0;Pasuje do mężczyzny
+24;7;0;0;Pasuje do mężczyzny i podkreśla jego męskość .
+1154;1;0;0;na prezent
+1154;4;1;1;nowość idealny na prezent
+1154;5;0;0;Jako nowość idealny na prezent .
+0;3;0;0;oszczędny design flakonika
+0;6;0;1;Podoba mi się oszczędny design flakonika .
+769;3;0;1;ten elegancki sposób
+769;6;0;0;Jagodowe wakacje
+769;7;0;0;właśnie w ten elegancki sposób
+769;9;0;1;szanować gości
+769;12;0;0;ja właśnie w ten elegancki sposób uszanuję Jagodowe wakacje
+769;13;0;0;Przyzwoitość każe szanować gości
+769;14;0;0;Przyzwoitość każe szanować gości i ja właśnie w ten elegancki sposób uszanuję Jagodowe wakacje .
+124;4;0;0;bardzo długo
+124;5;0;0;na skórze
+124;7;1;1;świetną perfumą
+124;9;0;0;Jest świetną perfumą utrzymuje się na skórze bardzo długo .
+218;2;0;0;około 10 miesięcy
+218;4;0;0;na około 10 miesięcy
+218;6;1;0;wystarcza spokojnie na około 10 miesięcy .
+1074;1;0;0;wszystkich zapachów
+1074;3;0;1;wśród wszystkich zapachów
+1074;4;0;0;naprawdę świecący
+1074;6;1;1;naprawdę świecący kryształ wśród wszystkich zapachów
+1074;7;0;0;To naprawdę świecący kryształ wśród wszystkich zapachów .
+559;2;1;1;naprawdę super
+559;4;0;1;Stanik jest naprawdę super .
+501;1;0;0;z pewnością
+501;5;0;0;nasz partner z pewnością
+501;7;0;0;, nasz partner z pewnością zainteresuje się nim
+501;9;0;0;taki biustonosz , nasz partner z pewnością zainteresuje się nim
+501;12;0;0;tym zakładając taki biustonosz , nasz partner z pewnością zainteresuje się nim
+501;13;0;0;Poza tym zakładając taki biustonosz , nasz partner z pewnością zainteresuje się nim .
+74;2;0;0;każdym szczególe
+74;3;0;0;bardzo dokładnie
+74;6;0;0;w każdym szczególe
+74;7;0;1;bardzo dokładnie wykończony
+74;10;1;1;w każdym szczególe jest doskonały jakościowo
+74;11;0;1;Biustonosz jest bardzo dokładnie wykończony
+74;12;0;0;Biustonosz jest bardzo dokładnie wykończony , w każdym szczególe jest doskonały jakościowo .
+964;1;0;0;oderwać oczu
+964;4;1;1;nie można oderwać oczu
+964;5;0;0;od którego
+964;7;1;1;, od którego poprostu nie można oderwać oczu
+964;10;1;1;efektownym push upem , od którego poprostu nie można oderwać oczu
+964;12;1;1;z efektownym push upem , od którego poprostu nie można oderwać oczu
+964;13;0;0;na przodzie
+964;15;1;1;tu z efektownym push upem , od którego poprostu nie można oderwać oczu
+964;18;0;0;satynowa kokardka na przodzie
+964;20;1;1;satynowa kokardka na przodzie słodko komponuje się tu z efektownym push upem , od którego poprostu nie można oderwać oczu
+964;22;0;0;Mała , satynowa kokardka na przodzie słodko komponuje się tu z efektownym push upem , od którego poprostu nie można oderwać oczu .
+612;2;0;0;każdej pani
+612;5;0;0;na prezent
+612;7;1;1;napewno spodoba się każdej pani
+612;8;1;1;Polecam na prezent
+612;9;0;0;Polecam na prezent , napewno spodoba się każdej pani .
+1189;3;0;1;wierny pies
+1189;6;0;0;Po ofiarach
+1189;7;0;0;Po ofiarach tylko czasem zawyje wierny pies .
+378;3;0;1;wysoka ale
+378;7;-1;0;Cena wysoka ale ta marka
+378;8;0;0;Cena wysoka ale ta marka jest tego warta !
+727;2;1;0;równocześnie sexowny
+727;3;1;1;bardzo elegancki
+727;5;1;0;bardzo elegancki a równocześnie sexowny
+727;6;0;0;Biustonosz bardzo elegancki a równocześnie sexowny .
+628;1;0;0;cały dzień
+628;4;0;0;na cały dzień
+628;5;0;0;Jedno psiuknięcie
+628;6;1;0;Jedno psiuknięcie wystarczy na cały dzień .
+736;1;0;0;każdego mężczyzny
+736;3;0;0;dla każdego mężczyzny
+736;4;1;1;Polecam dla każdego mężczyzny .
+635;4;0;0;nasze emocje
+635;5;0;0;Matowe szkło flakonu
+635;6;0;0;Matowe szkło flakonu chłodzi nasze emocje .
+633;1;1;1;bardzo dobrze
+633;3;1;1;Założony bardzo dobrze
+633;5;0;0;układa piersi
+633;6;1;1;Założony bardzo dobrze modeluje
+633;7;0;1;Założony bardzo dobrze modeluje i układa piersi .
+658;2;0;0;codziennego użytku
+658;3;1;1;wyjątkowe wieczory
+658;4;0;0;do codziennego użytku
+658;5;1;0;na wyjątkowe wieczory
+658;7;1;1;na wyjątkowe wieczory niż do codziennego użytku
+658;8;0;0;Bardziej na wyjątkowe wieczory niż do codziennego użytku .
+797;2;1;1;godny pozazdroszczenia
+797;3;0;1;Zapach godny pozazdroszczenia .
+698;1;1;0;kobiety nowoczesnej
+698;2;1;0;dla kobiety nowoczesnej
+698;3;1;1;stworzony dla kobiety nowoczesnej
+698;5;1;1;Gabbana stworzony dla kobiety nowoczesnej
+698;6;0;0;bardzo kobiecej
+698;8;1;1;& Gabbana stworzony dla kobiety nowoczesnej
+698;10;1;1;Dolce & Gabbana stworzony dla kobiety nowoczesnej , bardzo kobiecej
+670;1;0;0;do nierządu
+670;2;0;0;przymuszanym do nierządu
+670;6;0;0;zwabionym i przymuszanym do nierządu
+670;8;0;0;z zagranicy
+670;13;0;0;młodym kobietom z zagranicy , zwabionym i przymuszanym do nierządu ,
+670;15;0;0;Zazwyczaj młodym kobietom z zagranicy , zwabionym i przymuszanym do nierządu , sutenerzy odbierają paszporty .
+221;2;0;0;prezent i randki
+221;4;0;1;na prezent i randki
+221;5;1;1;Idealny na prezent i randki .
+1148;1;1;0;najwyższej półki
+1148;4;1;1;z najwyższej półki
+1148;6;1;1;z najwyższej półki nie są najdroższe
+1148;8;0;1;Perfumy choć z najwyższej półki nie są najdroższe .
+1042;1;0;0;dorodnym biuście
+1042;2;0;1;o dorodnym biuście
+1042;3;0;0;pań o dorodnym biuście
+1042;4;0;1;dla pań o dorodnym biuście
+1042;5;0;1;myślą dla pań o dorodnym biuście
+1042;7;0;1;z myślą dla pań o dorodnym biuście
+1042;8;0;1;Przygotowany z myślą dla pań o dorodnym biuście .
+321;2;1;1;zdobione ślicznym haftem
+321;4;1;1;ramiączka zdobione ślicznym haftem
+321;6;0;1;Podobają się ramiączka zdobione ślicznym haftem .
+712;1;0;0;Chanel jakie
+712;6;1;1;najlepsze perfumy Chanel jakie
+712;7;0;0;Według mnie
+712;8;0;0;Według mnie najlepsze perfumy Chanel jakie miała m .
+226;1;0;0;większym biustem
+226;2;0;0;z większym biustem
+226;3;0;0;kobiet z większym biustem
+226;4;0;0;dla kobiet z większym biustem
+226;7;0;1;przeznaczony dla kobiet z większym biustem
+226;8;1;1;Bardzo wygodny
+226;9;0;1;Bardzo wygodny bistonosz przeznaczony dla kobiet z większym biustem .
+667;3;1;1;ładny wygląd
+667;6;1;1;jest solidnie wykonany
+667;7;1;1;Ma bardzo ładny wygląd
+667;8;0;1;Ma bardzo ładny wygląd i jest solidnie wykonany .
+334;1;1;1;dość przystępnej
+334;3;1;1;dość przystępnej cenie
+334;4;1;0;górnej półki
+334;6;1;1;o dość przystępnej cenie
+334;9;1;0;już z górnej półki
+334;12;1;1;, że o dość przystępnej cenie
+334;13;1;0;, które są już z górnej półki ,
+334;15;1;1;uważam , że o dość przystępnej cenie
+334;16;1;0;Perfumy , które są już z górnej półki ,
+334;17;0;1;Perfumy , które są już z górnej półki , ale uważam , że o dość przystępnej cenie .
+1112;2;0;0;chyba najbardziej znanych
+1112;6;0;0;to chyba najbardziej znanych
+1112;7;0;0;di Gio
+1112;8;0;0;tej firmy
+1112;9;1;1;najchętniej używany
+1112;10;0;0;Pour to chyba najbardziej znanych
+1112;11;0;0;Acqua di Gio
+1112;13;1;0;najchętniej używany zapach tej firmy
+1112;15;0;0;Armani Acqua di Gio Pour to chyba najbardziej znanych
+1112;16;0;0;Armani Acqua di Gio Pour to chyba najbardziej znanych , i najchętniej używany zapach tej firmy !
+1011;2;1;1;fajny fason
+1011;4;1;1;fajny fason i kolory
+1011;6;0;0;Ma bardzo fajny fason i kolory .
+750;2;-1;0;jej śmierci
+750;5;0;1;naprawdę niemały
+750;10;0;0;po jej śmierci
+750;13;0;0;swoim kotom
+750;14;0;0;majątek , naprawdę niemały ,
+750;15;0;0;w testamencie
+750;16;0;0;, że po jej śmierci rodzina to zakwestionuje
+750;18;0;0;zapisać w testamencie majątek , naprawdę niemały , swoim kotom
+750;21;0;0;obawia się , że po jej śmierci rodzina to zakwestionuje
+750;22;0;0;Chciała by zapisać w testamencie majątek , naprawdę niemały , swoim kotom
+750;23;0;0;Chciała by zapisać w testamencie majątek , naprawdę niemały , swoim kotom i obawia się , że po jej śmierci rodzina to zakwestionuje .
+346;4;1;1;niezwykle wygodny i wytrzymały
+346;5;0;0;przy tym
+346;10;1;0;jest przy tym niezwykle wygodny i wytrzymały
+346;11;1;1;Krój idealnie trzyma biust
+346;12;0;0;Krój idealnie trzyma biust , jest przy tym niezwykle wygodny i wytrzymały .
+1119;1;0;0;między piersiami
+1119;5;0;0;zmniejsza odstępy między piersiami
+1119;6;0;0;Podkreśla biust
+1119;7;0;0;Podkreśla biust i zmniejsza odstępy między piersiami .
+587;2;0;0;dzikiego zachodu
+587;3;0;0;przypominający whiskey
+587;4;0;0;z dzikiego zachodu
+587;9;0;0;kolor przypominający whiskey
+587;10;0;0;coś z dzikiego zachodu
+587;11;0;0;z drugiej
+587;12;0;0;kolor przypominający whiskey nie jest tu przypadkowy
+587;13;0;0;z drugiej ma coś z dzikiego zachodu
+587;14;0;0;z drugiej ma coś z dzikiego zachodu , kolor przypominający whiskey nie jest tu przypadkowy
+587;18;0;0;- ) , a z drugiej ma coś z dzikiego zachodu , kolor przypominający whiskey nie jest tu przypadkowy
+587;22;0;0;( męskim : - ) , a z drugiej ma coś z dzikiego zachodu , kolor przypominający whiskey nie jest tu przypadkowy
+587;24;0;0;jednej strony
+587;26;0;0;starym klasztorem ( męskim : - ) , a z drugiej ma coś z dzikiego zachodu , kolor przypominający whiskey nie jest tu przypadkowy
+587;27;0;1;Z jednej strony
+587;28;0;0;Z jednej strony pachnie starym klasztorem ( męskim : - ) , a z drugiej ma coś z dzikiego zachodu , kolor przypominający whiskey nie jest tu przypadkowy .
+1169;3;0;1;nie wyróżniający się
+1169;4;0;-1;zwyczajny niczym
+1169;6;0;1;nie wyróżniający się staniczek
+1169;7;0;-1;na zwyczajny niczym
+1169;8;0;0;Wygląda na zwyczajny niczym nie wyróżniający się staniczek .
+919;5;1;1;podtrzymuje je doskonale
+919;6;1;1;idealne układa piersi
+919;7;0;1;idealne układa piersi i podtrzymuje je doskonale .
+780;2;0;0;większym biuście
+780;4;1;1;bardzo udany
+780;7;0;0;przy większym biuście
+780;9;1;1;bardzo udany model ,
+780;11;1;1;świetnie utrzymuje biust
+780;12;1;1;bardzo udany model , sprawdza się przy większym biuście
+780;13;0;1;bardzo udany model , sprawdza się przy większym biuście , świetnie utrzymuje biust .
+68;1;0;-1;dotkniętego nieszczęściem
+68;3;0;0;skrzywdzonego , dotkniętego nieszczęściem
+68;4;0;0;pozycji skrzywdzonego , dotkniętego nieszczęściem
+68;6;0;0;w pozycji skrzywdzonego , dotkniętego nieszczęściem
+68;8;0;0;Zasklepiamy się w pozycji skrzywdzonego , dotkniętego nieszczęściem .
+1135;2;0;1;pełne i jędrne
+1135;4;0;1;na pełne i jędrne
+1135;6;0;1;Piersi wyglądają na pełne i jędrne .
+1086;3;1;1;ten śliczny flakonik
+1086;5;0;1;No i ten śliczny flakonik .
+141;2;0;0;wzajemnego przyciągania siebie
+141;5;0;1;fascynacji i wzajemnego przyciągania siebie
+141;6;0;1;ludzkiej miłości
+141;9;0;1;siłę fascynacji i wzajemnego przyciągania siebie
+141;10;0;1;smaku ludzkiej miłości
+141;11;0;0;tych pierwszych związkach
+141;13;0;1;odkrywają siłę fascynacji i wzajemnego przyciągania siebie
+141;14;0;0;doświadczają smaku ludzkiej miłości
+141;16;0;0;W tych pierwszych związkach
+141;17;0;0;W tych pierwszych związkach nastolatki doświadczają smaku ludzkiej miłości , odkrywają siłę fascynacji i wzajemnego przyciągania siebie .
+1192;2;0;0;umiarkowanych ilościach
+1192;3;-1;0;chorobami serca
+1192;4;0;0;w umiarkowanych ilościach
+1192;5;0;0;przed chorobami serca
+1192;8;0;0;spożywana w umiarkowanych ilościach
+1192;11;0;0;chronić nas przed chorobami serca
+1192;12;0;0;Czekolada , spożywana w umiarkowanych ilościach ,
+1192;13;0;0;Czekolada , spożywana w umiarkowanych ilościach , może chronić nas przed chorobami serca .
+322;1;0;0;całym dniu
+322;3;0;0;po całym dniu
+322;6;-1;0;Nie drażni nawet po całym dniu .
+284;3;1;0;każdej wyjątkowej kobiety
+284;4;0;0;Dla każdej wyjątkowej kobiety .
+783;1;0;0;okres zimowy
+783;2;0;0;na okres zimowy
+783;5;1;1;raczej polecam na okres zimowy
+783;7;0;0;trwały i raczej polecam na okres zimowy .
+278;1;1;1;bardzo ciekawym
+278;2;1;1;bardzo ciekawym kształcie
+278;3;1;0;w bardzo ciekawym kształcie
+278;6;1;0;opakowanie w bardzo ciekawym kształcie
+278;7;1;1;Kolejnym plusem
+278;8;0;1;Kolejnym plusem jest opakowanie w bardzo ciekawym kształcie .
+726;2;0;1;pełen seksu
+726;4;1;1;pełen seksu i wolności
+726;5;0;1;For Men
+726;7;1;1;zapach pełen seksu i wolności
+726;8;0;1;2U For Men
+726;11;0;0;CK In 2U For Men to zapach pełen seksu i wolności .
+26;2;1;1;fajny design
+26;4;0;0;Flakonik ma fajny design .
+740;1;0;0;dla kobiety
+740;2;0;0;prezent dla kobiety
+740;6;0;0;, na prezent dla kobiety
+740;7;0;0;te perfmy
+740;8;1;1;Polecam te perfmy , na prezent dla kobiety .
+1097;1;0;0;młodych dziewczyn
+1097;6;0;0;raczej dla młodych dziewczyn
+1097;7;1;0;Orzeźwiający i kwiatowy
+1097;8;0;0;Orzeźwiający i kwiatowy , raczej dla młodych dziewczyn .
+580;2;0;-1;eskalacji protestów
+580;3;1;1;pewne korzyści
+580;4;0;0;z eskalacji protestów
+580;7;0;0;, że z eskalacji protestów czerpie pewne korzyści
+580;10;0;0;nawet powiedzieć , że z eskalacji protestów czerpie pewne korzyści
+580;11;0;0;Można nawet powiedzieć , że z eskalacji protestów czerpie pewne korzyści .
+733;2;0;0;dla mnie
+733;4;-1;-1;dla mnie odrzucający zupełnie
+733;6;0;0;Zapach jak dla mnie odrzucający zupełnie .
+675;2;0;0;różnych perfum
+675;3;0;0;w zapasie
+675;6;0;0;z różnych perfum
+675;8;0;0;Calvin zawsze jest w zapasie
+675;10;0;0;Korzystam z różnych perfum
+675;11;0;0;Korzystam z różnych perfum , ale Calvin zawsze jest w zapasie .
+550;4;0;0;przypominający mi grejpfruta
+550;5;0;0;, owocowy ,
+550;7;1;0;zapach świeży , owocowy , przypominający mi grejpfruta
+550;9;1;0;, zapach świeży , owocowy , przypominający mi grejpfruta
+550;10;0;0;Dior Cherie
+550;12;1;1;Miss Dior Cherie , zapach świeży , owocowy , przypominający mi grejpfruta
+550;13;0;0;Miss Dior Cherie , to zapach świeży , owocowy , przypominający mi grejpfruta .
+519;3;1;0;prześliczny biustonosz
+519;5;0;0;Według mnie
+519;6;0;0;Według mnie jest to prześliczny biustonosz .
+475;2;0;0;, intensywny ,
+475;3;0;0;zapach , intensywny ,
+475;7;1;0;pieknyi zapach , intensywny ,
+475;9;1;0;Bardzo pieknyi zapach , intensywny , długo utrzymujący się .
+371;1;0;0;kobiety zmysłowej
+371;2;0;1;dla kobiety zmysłowej
+371;3;1;1;idealne dla kobiety zmysłowej
+371;5;1;1;wprost idealne dla kobiety zmysłowej
+371;6;0;1;Perfumy wprost idealne dla kobiety zmysłowej .
+724;2;0;0;wiec i cena
+724;7;0;1;Zróżnicowana pojemność wiec i cena
+724;8;0;0;Zróżnicowana pojemność wiec i cena będzie odpowiadać każdemu .
+1007;1;0;0;polską rzeczywistość
+1007;2;0;0;na polską rzeczywistość
+1007;5;0;0;składające się na polską rzeczywistość
+1007;6;0;0;na nerwy
+1007;8;0;0;fakty składające się na polską rzeczywistość
+1007;11;0;0;fakty składające się na polską rzeczywistość działają nam na nerwy
+1007;13;1;0;Kochamy Polskę
+1007;14;0;0;Kochamy Polskę , lecz fakty składające się na polską rzeczywistość działają nam na nerwy .
+252;2;0;0;nasza placówka
+252;3;0;0;dzięki którym
+252;5;0;1;, dzięki którym powstała nasza placówka
+252;9;0;0;wszystkim tym , dzięki którym powstała nasza placówka
+252;10;0;0;serdeczne podziękowania
+252;11;0;0;Składamy serdeczne podziękowania wszystkim tym , dzięki którym powstała nasza placówka .
+49;2;1;1;zapach idealny
+49;5;0;0;Według mnie - zapach idealny .
+1072;1;1;1;dość ciekawy
+1072;3;1;1;dość ciekawy wygląd
+1072;4;0;1;Posiada dość ciekawy wygląd .
+265;1;0;0;przy kolacji
+265;3;0;0;spędzania czasu przy kolacji
+265;4;0;0;do spędzania czasu przy kolacji
+265;5;0;1;chętny do spędzania czasu przy kolacji
+265;8;0;0;wesolutki , chętny do spędzania czasu przy kolacji
+265;9;0;0;Jest wesolutki , chętny do spędzania czasu przy kolacji .
+22;2;0;0;właśnie tej
+22;3;0;0;właśnie tej wody toaletowej
+22;6;0;0;, które używają właśnie tej wody toaletowej
+22;7;0;0;kobiet , które używają właśnie tej wody toaletowej
+22;9;0;0;wiele kobiet , które używają właśnie tej wody toaletowej
+22;10;1;0;Znam wiele kobiet , które używają właśnie tej wody toaletowej .
+295;1;0;0;tej pory
+295;3;0;0;do tej pory
+295;4;0;0;do czynienia
+295;5;0;1;jakimi do tej pory
+295;6;0;0;jakimi do tej pory miałem do czynienia
+295;7;0;0;z jakimi do tej pory miałem do czynienia
+295;8;0;0;męskich z jakimi do tej pory miałem do czynienia
+295;10;1;1;najlepszych perfum męskich z jakimi do tej pory miałem do czynienia
+295;12;1;1;z najlepszych perfum męskich z jakimi do tej pory miałem do czynienia
+295;13;0;0;Jeden z najlepszych perfum męskich z jakimi do tej pory miałem do czynienia .
+130;3;0;0;Ten biustonosz
+130;4;0;0;Ten biustonosz jest niespotykany .
+605;1;0;0;każdego rodzaju
+605;3;0;0;na każdego rodzaju
+605;7;1;0;świetny wybór na każdego rodzaju prezent
+605;8;0;0;Lacoste Essential
+605;9;0;0;Lacoste Essential to świetny wybór na każdego rodzaju prezent .
+502;2;1;1;prawdziwy zapach
+502;4;0;0;do perfumerii
+502;5;0;1;poczuć prawdziwy zapach
+502;7;0;0;Chcecie poczuć prawdziwy zapach idźcie do perfumerii .
+1187;2;0;0;niekompetencję i prywatę
+1187;9;0;0;, zarzucając mu niekompetencję i prywatę
+1187;10;0;0;na ręce
+1187;13;0;0;Przed awanturą natomiast
+1187;14;0;0;Przed awanturą natomiast wszyscy Zarządowi patrzyli na ręce , zarzucając mu niekompetencję i prywatę .
+40;4;0;0;tak dużo osób
+40;5;0;0;nad którymi
+40;9;1;0;, nad którymi tak dużo osób się zachwyca
+40;10;1;1;Bardzo znane
+40;11;0;0;Bardzo znane perfumy , nad którymi tak dużo osób się zachwyca .
+643;4;0;1;Talent już nie wystarcza .
+235;1;0;0;wszystkich zapachów
+235;3;0;0;wśród wszystkich zapachów
+235;4;0;0;naprawdę świecący
+235;6;1;0;naprawdę świecący kryształ wśród wszystkich zapachów
+235;7;0;0;To naprawdę świecący kryształ wśród wszystkich zapachów .
+268;1;1;1;odpowiedni kształt
+268;6;1;1;nadaje mu odpowiedni kształt
+268;7;1;1;Idealnie unosi biust
+268;8;0;1;Idealnie unosi biust i nadaje mu odpowiedni kształt .
+637;1;0;0;w nim
+637;6;0;0;Piersi w nim
+637;8;0;0;delikatnie podkreślone i pełne
+637;9;0;0;Piersi w nim są okrągłe
+637;10;0;0;Piersi w nim są okrągłe , delikatnie podkreślone i pełne .
+195;3;-1;0;okropny design flakonu
+195;5;0;0;Poza tym okropny design flakonu .
+222;3;0;1;ostry odświeżacz powietrza
+222;5;0;1;Zapachem przypominają ostry odświeżacz powietrza .
+1022;1;0;0;swojej ceny
+1022;3;1;1;wart swojej ceny
+1022;6;-1;0;drogi zapach
+1022;11;1;0;na pewno wart swojej ceny
+1022;12;-1;0;1 Million to drogi zapach , ale
+1022;14;0;0;Paco Rabanne 1 Million to drogi zapach , ale na pewno wart swojej ceny .
+294;2;0;0;na lato
+294;4;0;0;Woda idealna na lato .
+821;3;0;0;eksponuje piersi
+821;4;1;1;Świetnie unosi
+821;5;0;0;Świetnie unosi i eksponuje piersi .
+129;1;1;1;choć efektowna
+129;3;0;1;reklama choć efektowna
+129;7;0;1;, że reklama choć efektowna nie działa
+129;10;0;0;Czasem okazuje się , że reklama choć efektowna nie działa .
+1095;1;1;1;niezwykle trwały
+1095;4;1;1;Zapach niezwykle trwały
+1095;5;0;1;Zapach niezwykle trwały i intrygujący .
+680;1;0;1;dość wysokiej
+680;2;0;0;dość wysokiej ceny
+680;3;0;0;pomimo dość wysokiej ceny
+680;7;0;0;Biustonosz pomimo dość wysokiej ceny
+680;8;0;1;Biustonosz pomimo dość wysokiej ceny wygląda bardzo sexy .
+994;4;0;0;nie podrażniającą nosa
+994;6;0;0;intensywną , kwiatową
+994;8;0;0;, jednak nie podrażniającą nosa
+994;9;0;0;intensywną , kwiatową woń
+994;10;0;0;Mają intensywną , kwiatową woń , jednak nie podrażniającą nosa .
+105;1;0;0;serce Chopina
+105;5;0;0;, gdzie spoczywa serce Chopina
+105;6;0;0;św .
+105;9;0;0;św . Krzyża , gdzie spoczywa serce Chopina
+105;10;0;0;sióstr Wizytek
+105;11;-1;0;śmierci kompozytora
+105;12;0;0;sióstr Wizytek i św . Krzyża , gdzie spoczywa serce Chopina
+105;13;0;0;rocznicy śmierci kompozytora
+105;14;0;0;kościołach sióstr Wizytek i św . Krzyża , gdzie spoczywa serce Chopina
+105;16;0;0;okazji rocznicy śmierci kompozytora
+105;19;0;0;w kościołach sióstr Wizytek i św . Krzyża , gdzie spoczywa serce Chopina
+105;20;0;0;msze święte
+105;21;0;0;z okazji rocznicy śmierci kompozytora
+105;23;0;0;W niedzielę
+105;24;0;0;W niedzielę rano odprawiono z okazji rocznicy śmierci kompozytora msze święte w kościołach sióstr Wizytek i św . Krzyża , gdzie spoczywa serce Chopina .
+741;3;1;1;fajny kształt miseczek
+741;5;0;0;Ma bardzo fajny kształt miseczek .
+632;2;0;0;bitemu policjantowi
+632;5;0;1;, który pomógł bitemu policjantowi ,
+632;9;0;0;Przechodzień , który pomógł bitemu policjantowi ,
+632;10;0;0;Przechodzień , który pomógł bitemu policjantowi , już dostaje pogróżki .
+8;1;0;0;stawianych mu
+8;2;-1;-1;stawianych mu zarzutów
+8;3;0;0;do stawianych mu zarzutów
+8;8;1;0;, czy ksiądz przyznał się do stawianych mu zarzutów
+8;10;0;0;pytanie , czy ksiądz przyznał się do stawianych mu zarzutów
+8;15;0;0;w Łodzi
+8;17;0;0;na pytanie , czy ksiądz przyznał się do stawianych mu zarzutów
+8;18;0;0;tym etapie śledztwa
+8;20;1;1;dobrem postępowania
+8;23;0;0;Krzysztof Kopania
+8;24;0;0;Prokuratury Okręgowej w Łodzi
+8;26;0;0;odpowiedzi na pytanie , czy ksiądz przyznał się do stawianych mu zarzutów
+8;27;0;0;na tym etapie śledztwa
+8;28;0;0;, zasłaniając się dobrem postępowania ,
+8;29;0;0;Rzecznik Prokuratury Okręgowej w Łodzi Krzysztof Kopania
+8;30;0;-1;Rzecznik Prokuratury Okręgowej w Łodzi Krzysztof Kopania , zasłaniając się dobrem postępowania , odmówił na tym etapie śledztwa odpowiedzi na pytanie , czy ksiądz przyznał się do stawianych mu zarzutów .
+273;1;1;1;ładnym kolorze
+273;3;1;1;w ładnym kolorze
+273;5;0;0;Stanik jest w ładnym kolorze .
+392;1;0;0;dla mężczyzny
+392;5;1;0;ponadczasowa woda toaletowa dla mężczyzny
+392;6;0;0;Zdecydowanie ponadczasowa woda toaletowa dla mężczyzny .
+1193;1;0;0;nihilizmie moralnym
+1193;2;0;0;w nihilizmie moralnym
+1193;6;0;0;, które pogrążyły się w nihilizmie moralnym
+1193;8;0;0;kraje , które pogrążyły się w nihilizmie moralnym
+1193;9;0;1;naszych zasad
+1193;13;0;0;małpujemy kraje , które pogrążyły się w nihilizmie moralnym
+1193;14;0;0;Wyrzekli śmy się naszych zasad
+1193;15;0;0;Wyrzekli śmy się naszych zasad i małpujemy kraje , które pogrążyły się w nihilizmie moralnym !
+811;1;0;0;głębokich dekoltów
+811;2;0;0;do głębokich dekoltów
+811;5;0;0;go nosić do głębokich dekoltów
+811;6;0;0;Można go nosić do głębokich dekoltów .
+526;1;0;0;w skórę
+526;6;0;0;, które wbijają się w skórę
+526;7;-1;-1;zbyt twarde
+526;9;-1;0;zbyt twarde fiszbiny , które wbijają się w skórę
+526;10;0;0;Ma zbyt twarde fiszbiny , które wbijają się w skórę .
+629;2;-1;-1;głucha złość
+629;4;0;0;głucha złość i bunt
+629;6;0;0;Chwilami ogarniały głucha złość i bunt .
+671;3;1;0;- śliczny odcień różu
+671;6;1;0;kobiecy kolor - śliczny odcień różu
+671;8;0;0;Ma bardzo kobiecy kolor - śliczny odcień różu .
+330;2;0;0;do ciała
+330;5;0;0;formuje biust
+330;6;1;0;Dobrze przylega do ciała
+330;7;0;0;Dobrze przylega do ciała i formuje biust .
+397;2;0;0;wyjątkowa kobieta
+397;3;0;0;To wyjątkowa kobieta .
+126;3;0;0;Biustonosz jest genialny .
+463;2;1;1;najlepszych modeli jakie
+463;3;1;1;z najlepszych modeli jakie
+463;6;1;1;Jeden z najlepszych modeli jakie
+463;7;0;0;Jeden z najlepszych modeli jakie miała m .
+984;2;0;0;silny katar
+984;6;0;0;, że mam silny katar )
+984;8;0;0;do nich
+984;10;0;0;( chyba , że mam silny katar )
+984;11;0;0;bardzo rzadko do nich
+984;17;0;0;bardzo rzadko do nich sięgam ( chyba , że mam silny katar )
+984;18;0;0;Dostała m je dawno temu
+984;19;0;0;Dostała m je dawno temu i bardzo rzadko do nich sięgam ( chyba , że mam silny katar ) .
+308;1;0;0;młodych duchem
+308;3;0;0;kobiet młodych duchem
+308;4;0;0;Dla kobiet młodych duchem .
+1173;1;0;0;dla kobiety
+1173;4;1;0;doskonały prezent dla kobiety
+1173;6;0;0;Jest to doskonały prezent dla kobiety .
+597;1;0;0;całego zachodu
+597;7;1;0;warta całego zachodu
+597;9;0;0;Może cena nie jest niska
+597;10;0;0;Może cena nie jest niska , ale warta całego zachodu .
+655;1;0;0;wpływem muzyki
+655;5;0;0;, pod wpływem muzyki
+655;6;0;0;na scenie
+655;10;0;0;- Odważna staję się na scenie , pod wpływem muzyki .
+288;2;0;0;wyższej ceny
+288;8;0;0;Szczerze , to spodziewała m się wyższej ceny .
+181;1;0;0;gorąco tą
+181;2;0;0;gorąco tą wodę
+181;4;0;1;wszystkim gorąco tą wodę
+181;5;1;1;Polecam wszystkim gorąco tą wodę .
+5;1;0;0;męskich zapachów
+5;3;0;1;wśród męskich zapachów
+5;4;1;0;Ideał wśród męskich zapachów !
+1139;2;1;0;moje ukochane perfumy
+1139;3;1;0;będą moje ukochane perfumy
+1139;7;1;0;" to na zawsze będą moje ukochane perfumy
+1139;8;1;0;żółta " to na zawsze będą moje ukochane perfumy
+1139;10;1;0;" żółta " to na zawsze będą moje ukochane perfumy
+1139;11;0;0;Lacosta " żółta " to na zawsze będą moje ukochane perfumy .
+1;3;1;1;przepełniony optymizmem
+1;4;0;0;Zapach słodki
+1;5;0;1;Zapach słodki i przepełniony optymizmem .
+361;1;0;0;bardzo długo
+361;2;0;0;przez bardzo długo
+361;6;0;0;aromat utrzymuje się przez bardzo długo
+361;9;0;0;Przepiękny kwiatowy , aromat utrzymuje się przez bardzo długo .
+352;1;0;0;każdej kobiety
+352;3;0;0;dla każdej kobiety
+352;5;0;0;Idealny prezent dla każdej kobiety .
+1117;3;0;0;Ten biustonosz
+1117;4;0;0;Ten biustonosz jest beznadziejny .
+174;1;0;0;małych piersi
+174;2;0;0;dla małych piersi
+174;3;1;1;praktyczny dla małych piersi
+174;7;1;0;jest praktyczny dla małych piersi
+174;8;1;1;Ładnie się prezentuje
+174;9;0;0;Ładnie się prezentuje i jest praktyczny dla małych piersi .
+584;3;1;1;fajny kształt miseczek
+584;5;0;0;Ma bardzo fajny kształt miseczek .
+517;1;0;0;Dino Baggio
+517;4;0;0;włoskiego piłkarza Dino Baggio
+517;5;-1;-1;ciężkiego kalectwa
+517;6;0;0;głowę włoskiego piłkarza Dino Baggio
+517;7;0;0;spowodowania ciężkiego kalectwa
+517;8;0;0;w głowę włoskiego piłkarza Dino Baggio
+517;10;0;0;zamiarem spowodowania ciężkiego kalectwa
+517;12;0;0;rzucając nożem w głowę włoskiego piłkarza Dino Baggio
+517;13;0;0;z zamiarem spowodowania ciężkiego kalectwa
+517;16;0;0;M .
+517;18;0;0;, że działał z zamiarem spowodowania ciężkiego kalectwa rzucając nożem w głowę włoskiego piłkarza Dino Baggio
+517;21;0;0;Pawłowi M .
+517;22;0;0;Pawłowi M . zarzuca się również , że działał z zamiarem spowodowania ciężkiego kalectwa rzucając nożem w głowę włoskiego piłkarza Dino Baggio .
+525;1;1;0;zapach przecudowny
+525;5;1;0;- zapach przecudowny
+525;7;0;0;na ubraniach
+525;8;0;0;na ciele
+525;10;0;0;bardzo długo
+525;11;1;0;100% - zapach przecudowny
+525;12;0;0;na ubraniach jeszcze dłużej
+525;13;0;0;bardzo długo utrzymuje się na ciele
+525;14;1;0;w 100% - zapach przecudowny
+525;16;0;0;bardzo długo utrzymuje się na ciele , na ubraniach jeszcze dłużej
+525;17;1;1;Polecam w 100% - zapach przecudowny
+525;18;0;0;Polecam w 100% - zapach przecudowny , bardzo długo utrzymuje się na ciele , na ubraniach jeszcze dłużej .
+482;1;0;0;ku górze
+482;3;0;0;biust ku górze
+482;5;0;0;kobiece kształty
+482;7;0;0;także podniesie biust ku górze
+482;8;1;0;Uwydatni kobiece kształty
+482;9;0;0;Uwydatni kobiece kształty a także podniesie biust ku górze .
+314;1;0;0;rozmiarów miseczki
+314;4;0;0;pełną gamę rozmiarów miseczki
+314;6;0;0;Stanik ma pełną gamę rozmiarów miseczki .
+200;1;0;0;w modzie
+200;6;0;1;, że takie są teraz w modzie
+200;7;0;1;wiem , że takie są teraz w modzie
+200;9;0;1;, choć wiem , że takie są teraz w modzie
+200;14;0;1;, dziwny kształt , choć wiem , że takie są teraz w modzie
+200;16;0;0;do gustu
+200;19;0;1;Mi osobiście do gustu nie przypadł , dziwny kształt , choć wiem , że takie są teraz w modzie .
+493;1;0;0;jeszcze raz
+493;6;0;0;jedyna woda ktorą kupie jeszcze raz
+493;9;0;0;10 daje
+493;13;1;0;: 10 daje 9 to jest jedyna woda ktorą kupie jeszcze raz
+493;14;0;0;w skali
+493;15;0;0;w skali 1 : 10 daje 9 to jest jedyna woda ktorą kupie jeszcze raz .
+595;1;0;0;1994 rok
+595;2;0;0;za 1994 rok
+595;3;0;-1;zysku za 1994 rok
+595;4;0;0;z zysku za 1994 rok
+595;5;1;0;nagrodach z zysku za 1994 rok
+595;7;0;0;w nagrodach z zysku za 1994 rok
+595;8;0;0;obowiązującym regulaminem
+595;13;0;0;uczestniczyć w nagrodach z zysku za 1994 rok
+595;15;0;0;zgodnie z obowiązującym regulaminem
+595;16;0;0;nawet 12 miesięcy
+595;17;0;0;w telewizorni
+595;21;0;0;zgodnie z obowiązującym regulaminem nie mogła uczestniczyć w nagrodach z zysku za 1994 rok
+595;23;0;0;nie przepracowała w telewizorni nawet 12 miesięcy
+595;24;0;0;Większość pampersów
+595;25;0;0;Większość pampersów nie przepracowała w telewizorni nawet 12 miesięcy , więc zgodnie z obowiązującym regulaminem nie mogła uczestniczyć w nagrodach z zysku za 1994 rok .
+831;1;0;1;wspaniałym Kodaku
+831;4;0;1;we wspaniałym Kodaku
+831;6;0;0;colonel Eddie
+831;8;0;0;Obok colonel Eddie majstruje coś we wspaniałym Kodaku .
+782;1;0;0;kwestii gustów
+782;4;0;0;w kwestii gustów
+782;6;0;1;w kwestii gustów się nie dyskutuje
+782;8;1;1;zapach nieziemski
+782;10;0;0;Niby w kwestii gustów się nie dyskutuje
+782;11;0;0;Niby w kwestii gustów się nie dyskutuje , ale zapach nieziemski .
+1084;4;1;0;nuty lekkie , świeże
+1084;5;0;0;Przeważają nuty lekkie , świeże .
+678;2;0;0;wczesny poranek
+678;5;0;0;. . jak wczesny poranek .
+1017;2;1;1;pełen podziwu
+1017;4;0;0;na Magdę
+1017;5;0;1;pełen podziwu wzrok
+1017;7;0;0;Przeniosła m pełen podziwu wzrok na Magdę .
+1188;2;0;0;co roku
+1188;5;1;0;cud wiosny
+1188;9;0;0;, że cud wiosny zdarza się regularnie co roku
+1188;14;0;0;A przecież poeta świetnie wiedział , że cud wiosny zdarza się regularnie co roku .
+730;1;0;1;oka błękitnej
+730;2;0;0;dla oka błękitnej
+730;3;1;1;przyjemnej dla oka błękitnej
+730;4;1;1;przyjemnej dla oka błękitnej butelce
+730;5;1;1;w przyjemnej dla oka błękitnej butelce
+730;6;1;1;zapakowany w przyjemnej dla oka błękitnej butelce
+730;7;1;1;to zapakowany w przyjemnej dla oka błękitnej butelce
+730;8;1;1;Water to zapakowany w przyjemnej dla oka błękitnej butelce
+730;11;1;1;Davidoff Cool Water to zapakowany w przyjemnej dla oka błękitnej butelce
+730;13;0;0;Woda toaletowa Davidoff Cool Water to zapakowany w przyjemnej dla oka błękitnej butelce .
+993;1;0;0;dla mnie
+993;2;-1;-1;dla mnie okropny
+993;5;-1;1;naprawdę jak dla mnie okropny
+993;6;0;0;Zapach naprawdę jak dla mnie okropny .
+822;3;0;0;Ciekawy design butelki .
+521;1;0;0;Armaniego zawsze
+521;3;0;0;od Armaniego zawsze
+521;4;0;0;do zakupu
+521;6;0;0;Zapach od Armaniego zawsze
+521;8;1;1;zachęcał do zakupu
+521;9;1;1;Zapach od Armaniego zawsze mnie intrygował
+521;10;0;0;Zapach od Armaniego zawsze mnie intrygował i zachęcał do zakupu .
+1079;2;0;0;jakiś czas
+1079;3;0;0;mililitrów perfum
+1079;5;0;0;na jakiś czas
+1079;6;0;0;Sto mililitrów perfum
+1079;7;1;1;Sto mililitrów perfum wystarczy na jakiś czas .
+122;1;0;0;z odwagą
+122;2;0;0;wspólnego z odwagą
+122;6;0;0;nic wspólnego z odwagą
+122;8;0;0;chyba w ogóle
+122;10;0;0;To chyba w ogóle nie miało nic wspólnego z odwagą .
+879;3;0;1;mu uroku
+879;4;1;0;Przecudowny haft
+879;5;0;1;Przecudowny haft dodaję mu uroku .
+921;1;0;0;na co
+921;3;0;0;na co dzień
+921;5;0;0;Świetne perfumy na co dzień .
+208;1;0;0;każdego mężczyzny
+208;2;0;0;dla każdego mężczyzny
+208;4;1;1;odpowiednia dla każdego mężczyzny
+208;6;0;0;Nuta zapachowa odpowiednia dla każdego mężczyzny .
+472;1;0;0;samą Donatellę
+472;4;0;0;przez samą Donatellę
+472;5;1;0;najlepszych domów mody
+472;7;0;0;wylansowanie przez samą Donatellę
+472;8;1;1;z najlepszych domów mody
+472;9;0;0;właścicielkę ww
+472;10;0;0;zostały wylansowanie przez samą Donatellę
+472;12;1;1;jednego z najlepszych domów mody
+472;14;0;0;zostały wylansowanie przez samą Donatellę , właścicielkę ww
+472;15;0;0;mianowicie Versace
+472;16;1;1;z jednego z najlepszych domów mody
+472;17;0;0;w końcu
+472;20;0;0;mianowicie Versace i zostały wylansowanie przez samą Donatellę , właścicielkę ww
+472;22;1;1;Bo w końcu pochodzą z jednego z najlepszych domów mody
+472;23;0;0;Bo w końcu pochodzą z jednego z najlepszych domów mody , a mianowicie Versace i zostały wylansowanie przez samą Donatellę , właścicielkę ww .
+56;1;0;0;każdego faceta
+56;3;0;0;dla każdego faceta
+56;4;1;1;Polecam dla każdego faceta .
+172;3;1;0;- śliczny odcień różu
+172;6;1;0;kobiecy kolor - śliczny odcień różu
+172;8;0;0;Ma bardzo kobiecy kolor - śliczny odcień różu .
+458;2;0;0;świeżą trawą
+458;5;0;0;łąką , świeżą trawą i lasem
+458;7;0;0;z łąką , świeżą trawą i lasem
+458;11;0;0;Zapach kojarzy mi się z łąką , świeżą trawą i lasem .
+819;2;1;1;ciekawy design
+819;4;0;0;Buteleczka ma ciekawy design .
+669;2;1;0;drapieżnej i zmysłowej
+669;4;1;0;pewnej siebie drapieżnej i zmysłowej
+669;5;1;0;kobiety pewnej siebie drapieżnej i zmysłowej
+669;7;1;1;dla kobiety pewnej siebie drapieżnej i zmysłowej
+669;9;0;0;Boski , dla kobiety pewnej siebie drapieżnej i zmysłowej .
+110;5;0;0;Zaden mężczyzna
+110;6;0;0;Zaden mężczyzna nie pozostanie mu obojętny .
+616;1;1;1;kuszące zapachem
+616;4;1;1;kuszące zapachem perfumy
+616;7;1;0;Bardzo kobiece
+616;8;0;0;Bardzo kobiece , luksusowe , kuszące zapachem perfumy .
+962;1;0;0;wiele użyć
+962;3;0;0;na wiele użyć
+962;5;1;1;całkiem fajnie
+962;8;0;1;wystarcza na wiele użyć
+962;9;1;1;Flakonik całkiem fajnie się prezentuje
+962;10;0;0;Flakonik całkiem fajnie się prezentuje i wystarcza na wiele użyć .
+624;3;0;0;do wspomnień
+624;5;0;0;różnymi sytuacjami ,
+624;7;1;0;zpach dobry do wspomnień
+624;8;0;0;z różnymi sytuacjami ,
+624;10;0;0;ten zapach
+624;16;1;0;wiąże go z różnymi sytuacjami , zpach dobry do wspomnień
+624;17;0;0;tak właśnie kojarzy mi się ten zapach
+624;18;0;0;tak właśnie kojarzy mi się ten zapach i wiąże go z różnymi sytuacjami , zpach dobry do wspomnień !
+365;1;0;0;drugiego flakonu
+365;4;0;0;już z drugiego flakonu
+365;6;1;0;Obecnie korzystam już z drugiego flakonu .
+485;2;0;0;do stanika
+485;4;0;0;Cena adekwatna do stanika .
+230;4;0;0;każdej ceny
+230;5;0;0;produkt ten wart
+230;6;0;0;dla mnie
+230;8;1;0;dla mnie produkt ten wart jest każdej ceny
+230;9;0;1;Jak dla mnie produkt ten wart jest każdej ceny .
+436;2;0;0;według osobowości
+436;3;0;0;każdej osoby
+436;4;0;0;dobierać według osobowości
+436;6;0;0;do każdej osoby
+436;8;0;0;perfumy trzeba dobierać według osobowości
+436;9;0;1;Nie do każdej osoby pasuje
+436;10;0;1;Nie do każdej osoby pasuje , perfumy trzeba dobierać według osobowości
+411;2;0;0;firmy Triumph
+411;4;0;0;jego zakupie
+411;5;0;0;innej bieliźnie firmy Triumph
+411;7;0;0;na jego zakupie
+411;12;0;0;na innej bieliźnie firmy Triumph
+411;13;1;1;Nie zawiodła m się na jego zakupie podobnie
+411;14;0;1;Nie zawiodła m się na jego zakupie podobnie jak na innej bieliźnie firmy Triumph .
+264;2;-1;-1;bardzo niewygodny
+264;4;-1;1;nie praktyczny
+264;5;-1;0;Stanik bardzo niewygodny
+264;6;0;0;Stanik bardzo niewygodny i nie praktyczny .
+694;1;0;0;do noszenia
+694;3;1;1;przyjemny do noszenia
+694;6;0;-1;nie uwiera
+694;7;1;1;Biustonosz jest przyjemny do noszenia
+694;8;0;0;Biustonosz jest przyjemny do noszenia i nie uwiera .
+1001;2;0;0;każdej kobiecie
+1001;3;1;0;z pewnością
+1001;7;1;0;, który spodoba się z pewnością każdej kobiecie
+1001;10;1;1;cudowny kolor , który spodoba się z pewnością każdej kobiecie
+1001;11;0;0;Ma cudowny kolor , który spodoba się z pewnością każdej kobiecie .
+965;1;0;0;skrzyżowaniu dróg
+965;2;0;0;na skrzyżowaniu dróg
+965;7;0;0;korzystnemu położeniu na skrzyżowaniu dróg
+965;8;1;0;Swój szybki rozwój
+965;9;0;1;Swój szybki rozwój zawdzięczało korzystnemu położeniu na skrzyżowaniu dróg .
+151;3;1;0;dość pozytywny
+151;4;0;0;Ogólny wygląd
+151;5;0;0;Ogólny wygląd jest dość pozytywny .
+301;1;1;0;silnym charakterem
+301;2;1;0;z silnym charakterem
+301;3;1;1;siebie z silnym charakterem
+301;5;1;0;osobom pewnym siebie z silnym charakterem
+301;7;1;0;go osobom pewnym siebie z silnym charakterem
+301;8;0;0;Polecałym go osobom pewnym siebie z silnym charakterem .
+277;1;0;0;każdego dnia
+277;2;0;0;noszenia każdego dnia
+277;4;0;0;do noszenia każdego dnia
+277;5;1;1;Doskonały do noszenia każdego dnia .
+654;1;0;0;Armaniego zawsze
+654;3;0;0;od Armaniego zawsze
+654;4;0;0;do zakupu
+654;6;0;0;Zapach od Armaniego zawsze
+654;8;1;1;zachęcał do zakupu
+654;9;1;1;Zapach od Armaniego zawsze mnie intrygował
+654;10;0;0;Zapach od Armaniego zawsze mnie intrygował i zachęcał do zakupu .
+1000;1;0;0;innych perfum
+1000;2;0;0;od innych perfum
+1000;7;0;0;, który odróżnia go od innych perfum
+1000;11;1;1;świetny flakonik , który odróżnia go od innych perfum :
+1000;12;0;0;Poza tym
+1000;13;0;0;Poza tym ma świetny flakonik , który odróżnia go od innych perfum : )
+357;2;0;1;dla kobiet
+357;3;-1;-1;prawdziwa trucizna
+357;5;0;-1;nie dla kobiet
+357;7;-1;-1;To prawdziwa trucizna
+357;8;0;1;To prawdziwa trucizna , ale nie dla kobiet .
+593;1;0;0;pana Adama
+593;2;0;0;twarzy pana Adama
+593;5;0;0;na twarzy pana Adama
+593;8;0;1;Radosny uśmiech
+593;9;0;1;Radosny uśmiech nie gościł jednak na twarzy pana Adama .
+532;1;0;0;dużej pojemności
+532;3;0;0;o dużej pojemności
+532;5;0;1;nowoczesnym stylu
+532;7;0;0;dozowany atomizerem o dużej pojemności
+532;9;0;1;w nowoczesnym stylu
+532;10;0;0;Flakonik w nowoczesnym stylu , dozowany atomizerem o dużej pojemności .
+823;1;0;0;tymi perfumami
+823;6;0;0;za tymi perfumami
+823;7;1;0;Mój ukochany zapach ,
+823;8;0;0;Mój ukochany zapach , szaleje za tymi perfumami .
+244;2;1;1;godny uwagi
+244;5;1;1;godny uwagi i polecenia
+244;8;0;0;bardzo skromnie
+244;9;0;0;ten biustonosz
+244;13;1;1;, że ten biustonosz bardzo skromnie się prezentuje jest godny uwagi i polecenia
+244;14;0;0;Pomimo , że ten biustonosz bardzo skromnie się prezentuje jest godny uwagi i polecenia .
+617;2;0;0;ufności i entuzjazmu
+617;3;0;0;do ufności i entuzjazmu
+617;4;0;1;skłonne do ufności i entuzjazmu
+617;7;0;0;wrażliwe , skłonne do ufności i entuzjazmu
+617;9;0;0;wrażliwe , skłonne do ufności i entuzjazmu oblicze eseisty
+617;12;0;0;Tutaj wyraźnie widać wrażliwe , skłonne do ufności i entuzjazmu oblicze eseisty .
+1124;2;1;1;śliczny fason
+1124;4;0;0;Ponadto ma śliczny fason .
+922;1;0;1;słodką nutą
+922;4;0;0;ze słodką nutą
+922;5;0;1;kobiecy zapach
+922;7;0;0;Perfumy mają kobiecy zapach ze słodką nutą .
+846;4;0;0;na ciele
+846;6;1;0;bardzo ładnie
+846;7;0;0;Niespotykany kolor
+846;8;0;1;Niespotykany kolor bardzo ładnie prezentuje się na ciele .
+13;1;1;0;wysmakowanych mężczyzn
+13;3;1;1;dla wysmakowanych mężczyzn
+13;5;1;0;Letnia propozycja dla wysmakowanych mężczyzn .
+642;2;1;0;ludzi energicznych
+642;3;0;0;Dla ludzi energicznych .
+529;4;0;0;kupić mu go ponownie
+529;5;-1;0;wysokiej ceny
+529;7;0;0;dosyć wysokiej ceny zamierzam kupić mu go ponownie
+529;10;0;0;mimo dosyć wysokiej ceny zamierzam kupić mu go ponownie
+529;13;0;0;Mojemu chłopakowi
+529;14;0;1;Mojemu chłopakowi bardzo się podobał mimo dosyć wysokiej ceny zamierzam kupić mu go ponownie .
+115;2;-1;-1;za dużo
+115;6;1;1;bardzo dobrze
+115;9;1;0;nie jest go za dużo
+115;10;1;1;atomizer bardzo dobrze rozpyla perfum
+115;11;1;0;bardzo ładnie
+115;14;1;1;atomizer bardzo dobrze rozpyla perfum , nie jest go za dużo
+115;15;1;1;Perfum bardzo ładnie pachnie
+115;16;0;0;Perfum bardzo ładnie pachnie , atomizer bardzo dobrze rozpyla perfum , nie jest go za dużo .
+131;6;1;1;porządnie wykończony
+131;7;1;0;, dobrze trzyma biust ,
+131;8;1;0;bardzo ładnie
+131;12;1;1;, bardzo ładnie wyprofilowany , dobrze trzyma biust , porządnie wykończony
+131;13;0;0;na urodziny
+131;16;0;0;kupiła m koleżance na urodziny , bardzo ładnie wyprofilowany , dobrze trzyma biust , porządnie wykończony .
+788;1;0;0;cięższych perfum
+788;2;0;0;trochę cięższych perfum
+788;6;0;-1;do trochę cięższych perfum
+788;9;0;0;by m
+788;11;0;0;pociągać i przyciągać
+788;13;0;0;P Zaliczyła by m go raczej do trochę cięższych perfum
+788;14;0;1;Ma pociągać i przyciągać
+788;15;0;0;Ma pociągać i przyciągać ; P Zaliczyła by m go raczej do trochę cięższych perfum .
+932;5;0;0;, który długo się utrzymuje
+932;6;1;1;bardzo fajny
+932;7;1;1;bardzo fajny zapach , który długo się utrzymuje
+932;11;1;0;, że ma bardzo fajny zapach , który długo się utrzymuje
+932;13;0;0;Muszę przyznać , że ma bardzo fajny zapach , który długo się utrzymuje .
+804;2;1;1;elektryzującym zapachem
+804;5;1;1;doskonale zharmonizowanym
+804;6;1;0;Charakteryzuje się elektryzującym zapachem
+804;7;0;0;Charakteryzuje się elektryzującym zapachem , doskonale zharmonizowanym .
+1003;2;0;0;tej linii
+1003;3;0;0;na tyle
+1003;5;0;0;z tej linii
+1003;6;1;1;zachęciła mnie na tyle
+1003;11;0;1;coś z tej linii
+1003;13;1;1;jedynie próbki , która jednak zachęciła mnie na tyle
+1003;14;0;0;sobie sprawić coś z tej linii
+1003;17;1;1;posiadaniu jedynie próbki , która jednak zachęciła mnie na tyle
+1003;20;0;1;, że muszę sobie sprawić coś z tej linii
+1003;21;1;1;w posiadaniu jedynie próbki , która jednak zachęciła mnie na tyle
+1003;22;0;0;Na razie
+1003;23;0;1;Na razie jestem w posiadaniu jedynie próbki , która jednak zachęciła mnie na tyle , że muszę sobie sprawić coś z tej linii .
+469;1;0;0;drogi biustonosz
+469;2;-1;-1;za drogi biustonosz
+469;3;-1;-1;trochę za drogi biustonosz
+469;4;-1;-1;t trochę za drogi biustonosz
+469;8;-1;1;dla mnie t trochę za drogi biustonosz
+469;9;1;0;Śliczny choć
+469;10;0;1;Śliczny choć jak dla mnie t trochę za drogi biustonosz .
+187;2;1;1;fajny fason
+187;4;1;1;fajny fason i kolory
+187;6;0;0;Ma bardzo fajny fason i kolory .
+1101;4;0;-1;nie uczulają
+1101;6;0;0;nie uczulają , prosta , klasyczna
+1101;7;0;0;im oryginalności
+1101;8;0;0;nie uczulają , prosta , klasyczna butelka
+1101;10;0;0;nie uczulają , prosta , klasyczna butelka dodaje im oryginalności
+1101;12;0;0;Wytrzymałe , nie uczulają , prosta , klasyczna butelka dodaje im oryginalności .
+466;3;0;0;każdej kobiety
+466;4;0;0;inne perfumy
+466;5;0;0;na kolana
+466;6;0;0;dla każdej kobiety
+466;9;1;0;powala na kolana inne perfumy
+466;10;1;1;Naprawdę pasuje dla każdej kobiety
+466;11;0;0;Naprawdę pasuje dla każdej kobiety i powala na kolana inne perfumy .
+256;1;0;0;starszych kobiet
+256;4;0;0;dla starszych kobiet
+256;5;1;1;Dobry dla starszych kobiet raczej .
+176;2;1;1;Bardzo ładny
+176;6;1;1;Bardzo ładny flakon ,
+176;7;0;0;Bardzo ładny flakon , co przyciąga wzrok .
+59;2;1;1;bardzo elegancki
+59;4;0;0;Produkt jest bardzo elegancki .
+955;3;0;0;bardzo kobiece
+955;6;1;1;naprawdę godne uwagi
+955;7;0;0;Perfumy są bardzo kobiece
+955;8;0;0;Perfumy są bardzo kobiece i naprawdę godne uwagi .
+981;4;1;0;, który bardzo mi odpowiadał
+981;7;1;1;ciekawy zapach , który bardzo mi odpowiadał
+981;9;0;0;Posiada bardzo ciekawy zapach , który bardzo mi odpowiadał .
+506;1;0;0;na dzień
+506;5;1;1;idealne perfumy na dzień
+506;6;0;0;Dla mnie
+506;7;0;0;Dla mnie to idealne perfumy na dzień .
+457;2;0;0;na świecie
+457;4;0;0;najlepsze perfumy na świecie .
+865;3;0;0;zdolność konwersacji
+865;4;0;1;wesołe usposobienie
+865;10;0;0;Twoja aktywność
+865;13;0;0;Twoja aktywność , inwencja , bystrość , wesołe usposobienie i zdolność konwersacji
+865;14;0;0;Twoja aktywność , inwencja , bystrość , wesołe usposobienie i zdolność konwersacji przyciągają przyjaciół .
+977;4;0;0;ten cielisty kolor biustonosza
+977;6;1;1;Bardzo lubię ten cielisty kolor biustonosza .
+316;2;0;0;po nazwie
+316;3;0;0;perfum miłości
+316;4;0;0;wywnioskować po nazwie
+316;6;0;0;to perfum miłości
+316;7;0;0;wywnioskować po nazwie jest
+316;9;0;0;Jak można wywnioskować po nazwie jest to perfum miłości .
+25;1;0;0;środowiska rodzinnego
+25;3;0;0;głównie ze środowiska rodzinnego
+25;6;0;0;wyniesione głównie ze środowiska rodzinnego
+25;9;0;0;zniechęcenia i depresji
+25;10;0;0;problemy wewnętrzne , wyniesione głównie ze środowiska rodzinnego
+25;13;0;0;stanami zniechęcenia i depresji
+25;15;0;0;głębsze konflikty i problemy wewnętrzne , wyniesione głównie ze środowiska rodzinnego
+25;18;0;0;Za stanami zniechęcenia i depresji
+25;19;0;0;Za stanami zniechęcenia i depresji kryją się zwykle głębsze konflikty i problemy wewnętrzne , wyniesione głównie ze środowiska rodzinnego .
+329;4;0;0;z pewnością
+329;8;0;0;po spryskaniu
+329;9;0;0;każda kobieta
+329;13;1;0;, każda kobieta po spryskaniu się nią poczuje się z pewnością znakomicie
+329;14;1;1;godna polecenia
+329;15;0;0;Woda godna polecenia , każda kobieta po spryskaniu się nią poczuje się z pewnością znakomicie !
+203;3;0;0;pożądaniem i namiętnością
+203;6;0;0;Miłość nie jest pożądaniem i namiętnością .
+207;3;0;-1;winy ludzi
+207;4;0;0;80 procent wypadków
+207;5;0;0;z winy ludzi
+207;6;0;0;do 80 procent wypadków
+207;10;0;0;tymczasem do 80 procent wypadków dochodzi z winy ludzi
+207;11;0;0;To prawda
+207;13;0;0;- To prawda , tymczasem do 80 procent wypadków dochodzi z winy ludzi .
+450;1;1;1;przystępnej cenie
+450;3;1;1;w przystępnej cenie
+450;4;0;0;Jest w przystępnej cenie .
+421;3;0;0;przystojnego młodego mężczyznę
+421;4;0;0;tuż obok
+421;7;0;0;, mając tuż obok przystojnego młodego mężczyznę
+421;11;0;0;Czyżby teraz przepuściła okazję , mając tuż obok przystojnego młodego mężczyznę ?
+957;1;0;0;flakonu perfum
+957;2;0;0;200ml flakonu perfum
+957;5;0;0;kupno 200ml flakonu perfum
+957;7;1;1;najbardziej korzystny
+957;8;0;0;najbardziej korzystny zakup to kupno 200ml flakonu perfum .
+401;2;1;0;mistrz prowincji
+401;6;0;0;, które jednak mistrz prowincji mu wydarł
+401;8;0;-1;wielkie łupy , które jednak mistrz prowincji mu wydarł
+401;12;0;0;zabrał wielkie łupy , które jednak mistrz prowincji mu wydarł
+401;13;0;0;Spustoszył potem Kujawy
+401;14;0;0;Spustoszył potem Kujawy i zabrał wielkie łupy , które jednak mistrz prowincji mu wydarł .
+859;1;0;0;miękkiego materiału
+859;5;0;0;z miękkiego materiału
+859;7;0;0;układa piersi
+859;8;1;1;, dobrze leży
+859;9;0;1;Wykonany z miękkiego materiału
+859;10;0;0;Wykonany z miękkiego materiału , dobrze leży i układa piersi .
+395;2;0;0;w Warszawie
+395;3;0;0;na Powązkach
+395;4;0;0;Cmentarzu na Powązkach w Warszawie
+395;6;0;0;na Cmentarzu na Powązkach w Warszawie
+395;8;0;0;Kilka lat
+395;10;0;0;mogiły na Cmentarzu na Powązkach w Warszawie
+395;11;-1;-1;ofiarą wandali
+395;12;0;0;Kilka lat temu
+395;13;0;0;Kilka lat temu ofiarą wandali padły mogiły na Cmentarzu na Powązkach w Warszawie .
+1062;4;1;1;bardzo dobry
+1062;5;0;0;Stanik ten
+1062;6;0;0;Stanik ten jest bardzo dobry jakościowo .
+1089;4;0;0;do kupna
+1089;6;0;0;Opakowanie i buteleczka
+1089;7;1;1;Opakowanie i buteleczka bardzo zachęcają do kupna .
+1047;1;0;0;czymś świuadczy
+1047;3;0;1;o czymś świuadczy
+1047;5;0;0;już sam
+1047;6;0;0;już sam ten fakt o czymś świuadczy
+1047;8;0;0;- już sam ten fakt o czymś świuadczy
+1047;9;0;0;bardziej popularnego
+1047;11;0;0;bardziej popularnego zapachu - już sam ten fakt o czymś świuadczy
+1047;14;0;0;Chyba nie ma bardziej popularnego zapachu - już sam ten fakt o czymś świuadczy .
+343;3;1;1;nawet poręczna
+343;5;0;0;Buteleczka prosta
+343;6;0;0;Buteleczka prosta , ale nawet poręczna .
+839;1;0;0;mojego męża
+839;4;0;0;Dla mojego męża
+839;5;1;0;Dla mojego męża woda pasowała .
+1041;2;0;0;na rynku
+1041;4;1;1;najlepszych obecnie
+1041;5;1;1;najlepszych obecnie wód toaletowych na rynku
+1041;6;1;1;z najlepszych obecnie wód toaletowych na rynku
+1041;8;1;1;jedna z najlepszych obecnie wód toaletowych na rynku
+1041;10;0;0;Jest to jedna z najlepszych obecnie wód toaletowych na rynku .
+841;4;0;0;na zapachu
+841;6;-1;0;Ale na zapachu nic nie traci .
+389;1;0;0;każdej sylwetki
+389;3;0;0;do każdej sylwetki
+389;6;0;0;Świetnie dopasowuje się do każdej sylwetki .
+681;1;0;0;mocnej nucie
+681;5;0;0;o mocnej nucie
+681;7;1;0;Intrygujący zapach ,
+681;8;0;1;Intrygujący zapach , bardzo trwały o mocnej nucie .
+901;2;1;1;prawdziwego mężczyzny
+901;3;0;0;Woda prawdziwego mężczyzny .
+339;1;0;0;- luzaka
+339;2;0;0;chłopaka - luzaka
+339;4;0;0;do chłopaka - luzaka
+339;6;1;1;Nie pasuje do chłopaka - luzaka .
+912;2;0;0;na zdjęciu
+912;3;0;0;czarną biżuterią
+912;5;0;1;Pani na zdjęciu
+912;6;0;0;z czarną biżuterią
+912;8;1;1;Szczególnie dobrze
+912;10;0;0;u Pani na zdjęciu
+912;12;1;0;Szczególnie dobrze komponuje się z czarną biżuterią
+912;13;0;0;Szczególnie dobrze komponuje się z czarną biżuterią , jak u Pani na zdjęciu .
+959;3;0;0;kilkadziesiąt minut
+959;5;0;0;innej bezwartościowej rzeczy
+959;7;0;0;za kilkadziesiąt minut
+959;9;0;0;w zastaw
+959;10;0;0;obrączki lub innej bezwartościowej rzeczy
+959;11;0;0;zwrot gotówki za kilkadziesiąt minut
+959;12;0;0;pozostawienie obrączki lub innej bezwartościowej rzeczy w zastaw
+959;14;0;0;pozostawienie obrączki lub innej bezwartościowej rzeczy w zastaw i zwrot gotówki za kilkadziesiąt minut
+959;15;-1;0;swym ofiarom
+959;19;0;0;swym ofiarom proponuje pozostawienie obrączki lub innej bezwartościowej rzeczy w zastaw i zwrot gotówki za kilkadziesiąt minut
+959;20;0;0;jest przekonujący
+959;21;0;0;Sprytny oszust
+959;22;0;0;Sprytny oszust jest przekonujący , swym ofiarom proponuje pozostawienie obrączki lub innej bezwartościowej rzeczy w zastaw i zwrot gotówki za kilkadziesiąt minut .
+1177;1;0;0;na prezent
+1177;2;1;1;idealny na prezent
+1177;4;1;1;- idealny na prezent
+1177;5;0;1;Panowie - idealny na prezent !
+844;3;0;0;kilkadziesiąt minut
+844;4;0;0;Zażarta walka
+844;5;0;0;Zażarta walka trwała kilkadziesiąt minut .
+538;3;0;0;pasma nadawania
+538;4;0;0;z tym
+538;5;0;0;dla abonentów
+538;6;0;0;zmianą pasma nadawania
+538;7;0;0;z tym związanych
+538;9;1;1;szacunku dla abonentów
+538;10;0;0;ze zmianą pasma nadawania
+538;13;0;0;technicznych problemach z tym związanych
+538;15;-1;0;brak szacunku dla abonentów
+538;16;0;0;takie ciągłe zabawy ze zmianą pasma nadawania
+538;17;0;0;w technicznych problemach z tym związanych
+538;19;0;0;Ludzie starsi
+538;21;0;0;takie ciągłe zabawy ze zmianą pasma nadawania to brak szacunku dla abonentów
+538;23;0;0;Ludzie starsi gubią się w technicznych problemach z tym związanych
+538;25;0;0;- Ludzie starsi gubią się w technicznych problemach z tym związanych , a takie ciągłe zabawy ze zmianą pasma nadawania to brak szacunku dla abonentów .
+28;3;0;0;Stan rannych
+28;4;0;0;Stan rannych jest stabilny .
+979;3;0;0;taki znany zapach
+979;6;0;0;" Przecież to taki znany zapach "
+979;8;0;0;: " Przecież to taki znany zapach "
+979;9;0;0;Cytuję : " Przecież to taki znany zapach " .
+233;1;0;0;nowe mdłości
+233;2;0;0;o nowe mdłości
+233;4;0;0;przyprawiającego o nowe mdłości
+233;5;0;1;z wolna
+233;7;0;0;obrzydzenia przyprawiającego o nowe mdłości
+233;8;0;1;z wolna zanikać
+233;9;-1;-1;wielki ból
+233;12;0;0;stanie obrzydzenia przyprawiającego o nowe mdłości
+233;14;0;-1;, że wielki ból zaczyna z wolna zanikać
+233;17;0;0;W stanie obrzydzenia przyprawiającego o nowe mdłości
+233;18;0;0;W stanie obrzydzenia przyprawiającego o nowe mdłości nie zauważył nawet , że wielki ból zaczyna z wolna zanikać .
+10;6;1;0;Dobra bielizna ,
+10;7;0;1;Dobra bielizna , ładnie i solidnie uszyta .
+310;2;0;0;w szkołach
+310;4;0;0;sprzątania szkół
+310;5;0;0;kuchni w szkołach
+310;6;0;0;własnego stołka
+310;8;0;0;kuchni w szkołach i sprzątania szkół
+310;9;0;0;utrzymania własnego stołka
+310;10;0;0;przede wszystkim
+310;13;0;0;kwestiach kuchni w szkołach i sprzątania szkół
+310;17;0;0;przede wszystkim chęć utrzymania własnego stołka
+310;19;1;0;dobrem dzieci
+310;20;0;0;, w kwestiach kuchni w szkołach i sprzątania szkół ,
+310;21;0;0;poza tym
+310;23;0;0;A poza tym , w kwestiach kuchni w szkołach i sprzątania szkół , dobrem dzieci zasłania się przede wszystkim chęć utrzymania własnego stołka .
+1183;3;0;0;odpowiedzialni kandydaci
+1183;4;0;0;zachowywać się
+1183;5;0;0;tak właśnie
+1183;9;0;0;, że tak właśnie powinni zachowywać się odpowiedzialni kandydaci
+1183;10;0;0;Myślę , że tak właśnie powinni zachowywać się odpowiedzialni kandydaci .
+1002;2;1;1;bardzo ciekawy
+1002;4;1;1;bardzo ciekawy design flakonika
+1002;7;0;0;Uwagę przyciąga również bardzo ciekawy design flakonika .
+299;5;0;0;Zapach głęboki
+299;6;0;0;Zapach głęboki , aksamitny , kobiecy .
+391;1;0;0;na prezent
+391;4;1;1;dobry pomysł na prezent
+391;6;0;0;To jest dobry pomysł na prezent .
+745;1;0;0;sukienek wieczorowych
+745;3;0;0;do sukienek wieczorowych
+745;4;1;1;Idealny do sukienek wieczorowych .
+143;4;0;0;na Allegro
+143;5;0;-1;cena spora
+143;7;0;0;jako ozdobę-żart )
+143;10;0;0;go używać jako ozdobę-żart ) , cena spora ale na Allegro
+143;12;0;0;( można go używać jako ozdobę-żart ) , cena spora ale na Allegro
+143;17;1;0;) flakonik przeuroczo wygląda ( można go używać jako ozdobę-żart ) , cena spora ale na Allegro
+143;18;0;0;: ) flakonik przeuroczo wygląda ( można go używać jako ozdobę-żart ) , cena spora ale na Allegro .
+688;3;1;0;bardzo ładnie
+688;6;0;0;całym świecie
+688;7;1;0;) Perfum bardzo ładnie pachnie .
+688;8;0;0;na całym świecie
+688;12;1;1;: ) Perfum bardzo ładnie pachnie .
+688;13;0;1;prym na całym świecie
+688;14;1;0;Świetna światowa marka która
+688;15;0;1;Świetna światowa marka która wiedzie prym na całym świecie : ) Perfum bardzo ładnie pachnie .
+835;3;1;1;ładny , ale
+835;5;0;0;nic szczególnego
+835;6;0;-1;niby ładny , ale
+835;7;0;0;Zapach niby ładny , ale nic szczególnego .
+487;5;0;1;subtelnie unosząc
+487;6;0;0;, eksponując go
+487;7;0;0;kobiecego biustu
+487;8;0;0;typu push-up
+487;10;0;0;, eksponując go i subtelnie unosząc
+487;11;1;0;piękno kobiecego biustu
+487;12;0;0;Miseczki typu push-up
+487;13;0;0;Miseczki typu push-up podkreślają piękno kobiecego biustu , eksponując go i subtelnie unosząc .
+685;1;0;0;letnie wakacje
+685;3;0;0;na letnie wakacje
+685;5;1;0;Propozycja czegoś na letnie wakacje .
+775;4;1;0;każdej zmysłowej , seksownej
+775;5;1;0;Dior Cherie-rewelacja
+775;6;1;0;każdej zmysłowej , seksownej kobiety
+775;7;1;1;Miss Dior Cherie-rewelacja
+775;8;1;1;dla każdej zmysłowej , seksownej kobiety
+775;9;1;1;Dior Miss Dior Cherie-rewelacja
+775;11;1;1;Christian Dior Miss Dior Cherie-rewelacja dla każdej zmysłowej , seksownej kobiety
+775;12;1;1;Polecam Christian Dior Miss Dior Cherie-rewelacja dla każdej zmysłowej , seksownej kobiety .
+259;2;0;0;na skórze
+259;5;1;0;Bardzo wydajny
+259;7;0;0;zapach na skórze
+259;9;0;0;bardzo długo
+259;10;1;0;Bardzo wydajny perfum ,
+259;11;0;0;Bardzo wydajny perfum , bardzo długo utrzymuje się zapach na skórze .
+848;2;0;1;wyraźną kwiatową nutą
+848;3;0;0;z wyraźną kwiatową nutą
+848;4;0;0;, z wyraźną kwiatową nutą
+848;9;1;0;bardzo zmysłowy i kobiecy , z wyraźną kwiatową nutą
+848;10;0;0;jest bardzo zmysłowy i kobiecy , z wyraźną kwiatową nutą .
+373;2;0;0;prosty , klasyczny
+373;4;0;0;prosty , klasyczny kształt
+373;8;0;0;Flakon Light Blue ma prosty , klasyczny kształt .
+477;1;0;1;ze zdjęcia
+477;3;0;0;mojego wyobrażenia ze zdjęcia
+477;4;0;0;od mojego wyobrażenia ze zdjęcia
+477;5;-1;1;odbiegającą od mojego wyobrażenia ze zdjęcia
+477;7;-1;1;bieliznę odbiegającą od mojego wyobrażenia ze zdjęcia
+477;9;1;0;ślicznym zdjęciem
+477;10;-1;0;otrzymała m bieliznę odbiegającą od mojego wyobrażenia ze zdjęcia
+477;11;1;0;skuszona ślicznym zdjęciem
+477;13;-1;1;skuszona ślicznym zdjęciem a otrzymała m bieliznę odbiegającą od mojego wyobrażenia ze zdjęcia
+477;16;0;0;Zamówiła m go skuszona ślicznym zdjęciem a otrzymała m bieliznę odbiegającą od mojego wyobrażenia ze zdjęcia .
+649;1;0;0;nastoletnich mężczyzn
+649;3;0;0;dla nastoletnich mężczyzn
+649;4;1;1;Dobry dla nastoletnich mężczyzn .
+553;2;0;1;tej wyższej półki
+553;5;0;1;z tej wyższej półki
+553;6;0;0;Cena perfum
+553;7;0;0;Cena perfum jest z tej wyższej półki .
+496;3;1;1;Ciekawe hafty
+496;4;0;0;Ciekawe hafty i kolory .
+165;4;0;0;na urodziny
+165;7;1;1;najlepszym prezentem urodzinowym jaki
+165;9;1;0;najlepszym prezentem urodzinowym jaki kiedykolwiek otrzymała m na urodziny
+165;12;0;0;Perfumka okazała się najlepszym prezentem urodzinowym jaki kiedykolwiek otrzymała m na urodziny .
+46;1;0;0;po prostu
+46;5;-1;-1;po prostu okropny
+46;6;0;0;Ten samonośny biustonosz
+46;7;0;0;Ten samonośny biustonosz jest po prostu okropny !
+1160;2;0;0;z początku
+1160;3;0;1;bardzo obca
+1160;5;0;0;Herrera z początku
+1160;7;0;0;bardzo obca woda
+1160;8;0;0;dla mnie
+1160;10;0;0;Carolina Herrera z początku
+1160;11;0;0;Carolina Herrera z początku to była dla mnie bardzo obca woda .
+926;2;0;0;europejskiej myśli historycznej
+926;4;0;0;głęboką analizę europejskiej myśli historycznej
+926;5;0;0;o głęboką analizę europejskiej myśli historycznej
+926;8;0;0;opartych o głęboką analizę europejskiej myśli historycznej
+926;9;0;0;zawsze bardzo konkretnych
+926;10;0;0;zawsze bardzo konkretnych , opartych o głęboką analizę europejskiej myśli historycznej
+926;13;0;0;jego wystąpień , zawsze bardzo konkretnych , opartych o głęboką analizę europejskiej myśli historycznej
+926;15;0;0;lektura jego wystąpień , zawsze bardzo konkretnych , opartych o głęboką analizę europejskiej myśli historycznej
+926;17;0;0;Fascynująca jest lektura jego wystąpień , zawsze bardzo konkretnych , opartych o głęboką analizę europejskiej myśli historycznej .
+437;2;0;0;tego biustonosza
+437;4;-1;-1;zbyt wysoka
+437;5;0;0;cena tego biustonosza
+437;7;0;0;Jedynie cena tego biustonosza jest zbyt wysoka .
+874;1;0;0;przynajmniej )
+874;2;0;0;mojej przynajmniej )
+874;3;0;0;( mojej przynajmniej )
+874;4;0;0;skórze ( mojej przynajmniej )
+874;6;0;0;na skórze ( mojej przynajmniej )
+874;11;0;0;Przy tym
+874;13;1;1;ładnie rozwija się na skórze ( mojej przynajmniej )
+874;14;1;1;Przy tym jest niesamowicie trwały
+874;15;0;1;Przy tym jest niesamowicie trwały i ładnie rozwija się na skórze ( mojej przynajmniej ) .
+467;1;0;0;na ustach
+467;5;0;0;czerwoną pomadką na ustach
+467;6;0;0;starszej kobiety takiej
+467;7;0;0;z czerwoną pomadką na ustach
+467;8;0;0;dla starszej kobiety takiej
+467;10;1;1;fajne dla starszej kobiety takiej z czerwoną pomadką na ustach
+467;11;0;1;Może fajne dla starszej kobiety takiej z czerwoną pomadką na ustach .
+878;1;0;0;taka wodę
+878;2;0;0;na taka wodę
+878;4;-1;0;wysoka jak na taka wodę
+878;6;-1;0;za wysoka jak na taka wodę
+878;9;0;0;Jedynie cena jest za wysoka jak na taka wodę .
+1198;1;0;0;przeciwko ludzkości
+1198;2;0;-1;zbrodnie przeciwko ludzkości
+1198;4;0;0;ludobójstwo i zbrodnie przeciwko ludzkości
+1198;5;0;0;o ludobójstwo i zbrodnie przeciwko ludzkości
+1198;6;-1;0;oskarżonego o ludobójstwo i zbrodnie przeciwko ludzkości
+1198;9;0;0;człowieka oskarżonego o ludobójstwo i zbrodnie przeciwko ludzkości
+1198;10;0;0;amerykańscy i brytyjscy
+1198;11;0;0;poszukiwań człowieka oskarżonego o ludobójstwo i zbrodnie przeciwko ludzkości
+1198;13;0;0;amerykańscy i brytyjscy agenci
+1198;15;0;0;Do poszukiwań człowieka oskarżonego o ludobójstwo i zbrodnie przeciwko ludzkości
+1198;16;0;0;Do poszukiwań człowieka oskarżonego o ludobójstwo i zbrodnie przeciwko ludzkości włączyli się amerykańscy i brytyjscy agenci .
+142;2;0;1;wyróżniających się
+142;3;0;1;wyróżniających się młodych Polaków
+142;4;0;1;nagradzanie wyróżniających się młodych Polaków
+142;6;0;0;na nagradzanie wyróżniających się młodych Polaków
+142;8;0;0;Lecha Wałęsy
+142;10;0;0;puli na nagradzanie wyróżniających się młodych Polaków
+142;11;0;0;w nim
+142;13;0;0;Administracja Lecha Wałęsy
+142;14;0;0;Administracja Lecha Wałęsy nie przewidziała w nim puli na nagradzanie wyróżniających się młodych Polaków .
+382;1;0;0;każdej kobiety
+382;2;0;0;dla każdej kobiety
+382;3;0;0;prezent dla każdej kobiety
+382;5;0;0;na prezent dla każdej kobiety
+382;8;0;0;Świetnie nadaje się na prezent dla każdej kobiety .
+231;1;0;0;zmysłowego różu
+231;4;0;1;kolorze zmysłowego różu
+231;6;0;0;nastrój każdej kobiecie
+231;7;0;0;w kolorze zmysłowego różu
+231;10;1;1;Push up w kolorze zmysłowego różu poprawi nastrój każdej kobiecie .
+1023;1;0;0;tych perfum
+1023;2;0;0;kupna tych perfum
+1023;3;0;0;od kupna tych perfum
+1023;6;-1;-1;, który odrzuca od kupna tych perfum
+1023;8;-1;-1;mankament , który odrzuca od kupna tych perfum
+1023;10;0;0;Cena-to jest mankament , który odrzuca od kupna tych perfum .
+459;1;0;0;na gwiazdkę
+459;3;0;0;Fajny prezent na gwiazdkę
+72;1;0;0;najbliższej osoby
+72;2;0;1;zrozumieniem najbliższej osoby
+72;6;0;1;ze zrozumieniem najbliższej osoby
+72;8;0;0;Twoje dalekosiężne projekty
+72;9;0;0;Twoje dalekosiężne projekty spotkają się ze zrozumieniem najbliższej osoby .
+630;2;-1;-1;bardzo niewygodny
+630;4;0;0;tego stanika
+630;7;-1;0;- jest bardzo niewygodny
+630;8;0;1;z tego stanika
+630;9;0;1;nie jestem
+630;12;1;1;Jednak ja nie jestem zadowolona z tego stanika - jest bardzo niewygodny .
+1057;3;1;1;swoja atrakcyjna cenę
+1057;4;0;0;za to
+1057;5;1;1;za swoja atrakcyjna cenę
+1057;9;0;0;dostają za to
+1057;12;1;0;7 za swoja atrakcyjna cenę
+1057;13;1;0;6 dostają za to ze podobają się kobieta
+1057;14;0;0;6 dostają za to ze podobają się kobieta a 7 za swoja atrakcyjna cenę .
+186;1;1;1;zadbanym mężczyzną
+186;5;1;1;seksownym , tajemniczym i zadbanym mężczyzną
+186;6;1;1;z seksownym , tajemniczym i zadbanym mężczyzną
+186;7;1;0;się z seksownym , tajemniczym i zadbanym mężczyzną
+186;9;1;0;mi się z seksownym , tajemniczym i zadbanym mężczyzną
+186;10;0;0;Kolarzy mi się z seksownym , tajemniczym i zadbanym mężczyzną .
+17;2;0;0;na randki
+17;3;1;0;Obowiązkowy na randki .
+266;1;0;0;na lato
+266;4;1;1;jak najbardziej polecam na lato
+852;3;0;0;pozytywny ciąg następstw
+852;4;0;0;naszej firmie
+852;6;0;0;w pozytywny ciąg następstw
+852;9;0;0;W naszej firmie
+852;10;0;1;W naszej firmie wszystko układa się w pozytywny ciąg następstw .
+762;1;0;0;z tzw
+762;2;0;0;kreacjii z tzw
+762;4;0;0;do kreacjii z tzw
+762;5;0;0;faktycznie bardzo
+762;7;1;1;faktycznie bardzo przydatny do kreacjii z tzw
+762;9;0;0;Biustonosz jest faktycznie bardzo przydatny do kreacjii z tzw .
+980;1;0;0;samego biustonosza
+980;3;0;0;do samego biustonosza
+980;5;1;1;bardzo uroczy
+980;6;0;0;wracając do samego biustonosza
+980;8;0;0;Ale wracając do samego biustonosza jest bardzo uroczy .
+202;2;0;0;typu skóry
+202;5;0;0;na lato
+202;7;0;0;od typu skóry
+202;10;0;0;na skórze
+202;13;1;1;, super na lato ,
+202;15;0;0;to zależy też od typu skóry
+202;17;1;0;Orzeźwiający , super na lato , długo się utrzymuje na skórze
+202;19;1;0;Orzeźwiający , super na lato , długo się utrzymuje na skórze ( choć to zależy też od typu skóry
+202;20;0;0;Orzeźwiający , super na lato , długo się utrzymuje na skórze ( choć to zależy też od typu skóry ) .
+623;1;0;1;sprawnych technicznie
+623;3;0;1;dekoracyjnych i sprawnych technicznie
+623;4;0;1;dekoracyjnych i sprawnych technicznie obrazów
+623;7;0;1;tworzeniem dekoracyjnych i sprawnych technicznie obrazów
+623;11;0;0;raczej mizerne
+623;12;0;0;, poza tworzeniem dekoracyjnych i sprawnych technicznie obrazów ,
+623;13;0;0;których zasługi artystyczne
+623;18;1;0;, których zasługi artystyczne , poza tworzeniem dekoracyjnych i sprawnych technicznie obrazów , są raczej mizerne
+623;20;0;0;cenowe szczyty
+623;21;0;0;jej najwybitniejszych przedstawicielach
+623;23;0;0;liczni malarze , których zasługi artystyczne , poza tworzeniem dekoracyjnych i sprawnych technicznie obrazów , są raczej mizerne
+623;25;0;0;na cenowe szczyty
+623;26;0;0;Po jej najwybitniejszych przedstawicielach
+623;27;0;0;Po jej najwybitniejszych przedstawicielach na cenowe szczyty dostali się liczni malarze , których zasługi artystyczne , poza tworzeniem dekoracyjnych i sprawnych technicznie obrazów , są raczej mizerne .
+140;3;1;1;bardzo śliczny i seksowny
+140;6;1;1;naprawdę bardzo śliczny i seksowny
+140;7;0;0;Ten biustonosz
+140;8;0;0;Ten biustonosz jest naprawdę bardzo śliczny i seksowny .
+148;1;0;0;obcisłej bluzce
+148;3;0;0;w obcisłej bluzce
+148;7;0;0;Reszta miseczki
+148;9;1;1;będzie dobrze wyglądać w obcisłej bluzce
+148;11;0;0;Reszta miseczki jest gładka
+148;12;0;0;Reszta miseczki jest gładka , więc będzie dobrze wyglądać w obcisłej bluzce .
+462;3;-1;0;, bez rewelacji
+462;5;0;0;Zwykła butelka , bez rewelacji .
+820;2;0;0;na dzień
+820;3;1;1;Idealny na dzień .
+289;1;0;0;Tadeusza Zwiefkę
+289;2;0;0;na Tadeusza Zwiefkę
+289;3;0;0;głosowania na Tadeusza Zwiefkę
+289;4;0;0;do głosowania na Tadeusza Zwiefkę
+289;5;1;0;zachęcających do głosowania na Tadeusza Zwiefkę
+289;8;0;0;plakatów , zachęcających do głosowania na Tadeusza Zwiefkę
+289;10;0;0;placu Wolności
+289;12;0;0;kilka plakatów , zachęcających do głosowania na Tadeusza Zwiefkę
+289;13;0;0;jeszcze wtedy
+289;14;0;0;Na placu Wolności
+289;15;0;0;Na placu Wolności wisiało jeszcze wtedy kilka plakatów , zachęcających do głosowania na Tadeusza Zwiefkę .
+327;1;0;0;dojrzałych panów
+327;3;0;0;dla dojrzałych panów
+327;6;0;0;Męska woda toaletowa dla dojrzałych panów .
+162;2;1;0;jestcudowny i nietuzinkowy
+162;3;1;0;mnie jestcudowny i nietuzinkowy
+162;5;1;1;wg mnie jestcudowny i nietuzinkowy
+162;6;0;0;Zapach wg mnie jestcudowny i nietuzinkowy .
+927;4;0;0;nasze emocje
+927;5;0;0;Matowe szkło flakonu
+927;6;0;0;Matowe szkło flakonu chłodzi nasze emocje .
+1056;2;0;-1;rosyjskie służby specjalne
+1056;3;0;0;przez rosyjskie służby specjalne
+1056;4;0;0;uwolnione przez rosyjskie służby specjalne
+1056;9;0;0;uwolnione przez rosyjskie służby specjalne Polki
+1056;10;0;0;w sobotę
+1056;11;0;0;Rodzina i przyjaciele
+1056;12;0;0;Rodzina i przyjaciele powitali w sobotę uwolnione przez rosyjskie służby specjalne Polki .
+71;1;1;1;bardzo korzystną
+71;2;0;1;bardzo korzystną ofertą
+71;3;0;0;z bardzo korzystną ofertą
+71;7;0;1;, że przychodzą z bardzo korzystną ofertą
+71;9;0;0;Mężczyźni zakomunikowali , że przychodzą z bardzo korzystną ofertą .
+86;4;1;1;również świetnie
+86;5;0;0;Sam stanik
+86;6;0;1;Sam stanik również świetnie się prezentuje .
+193;1;0;0;bardziej mandarynka
+193;2;0;0;to bardziej mandarynka
+193;6;0;0;główna nuta to bardziej mandarynka
+193;9;0;0;bardzo nie rozwijały
+193;10;0;0;cynamonem choć główna nuta to bardziej mandarynka
+193;11;0;0;za bardzo nie rozwijały ,
+193;14;0;0;się za bardzo nie rozwijały , pachnie cynamonem choć główna nuta to bardziej mandarynka
+193;16;0;0;Nuty jakby się za bardzo nie rozwijały , pachnie cynamonem choć główna nuta to bardziej mandarynka :/
+546;2;1;0;toaletce i poręczny
+546;4;1;0;na toaletce i poręczny
+546;8;0;1;Flakonik ładnie prezentuje się na toaletce i poręczny .
+1039;3;0;0;od razu
+1039;4;0;0;tej wody
+1039;6;1;1;od razu mnie urzekł
+1039;7;0;0;Zapach tej wody
+1039;8;0;1;Zapach tej wody jednak od razu mnie urzekł .
+453;1;0;0;swojej toaletce
+453;2;0;1;w swojej toaletce
+453;8;0;0;go mieć w swojej toaletce
+453;9;0;1;wysokie standardy
+453;10;0;0;ceniąca sobie
+453;11;0;0;Każda kobieta
+453;12;0;0;Każda kobieta ceniąca sobie wysokie standardy powinna go mieć w swojej toaletce .
+720;1;0;-1;złośliwego chłoniaka
+720;4;0;0;w złośliwego chłoniaka
+720;6;0;0;Nieleczona choroba
+720;7;0;0;Nieleczona choroba przerodziła się w złośliwego chłoniaka .
+263;2;0;0;lekkim głębokim zabariwieniem
+263;4;0;0;z lekkim głębokim zabariwieniem
+263;6;0;0;Swiezy zapach z lekkim głębokim zabariwieniem .
+31;1;0;0;lepszego ściśnięcia
+31;4;0;0;dla lepszego ściśnięcia
+31;5;0;0;środka przodu
+31;6;0;0;stronę środka przodu dla lepszego ściśnięcia piersi
+31;7;0;0;w stronę środka przodu dla lepszego ściśnięcia piersi
+31;9;0;0;bardziej ścisnąć w stronę środka przodu dla lepszego ściśnięcia piersi
+31;12;0;0;Fiszbinę środkowo można bardziej ścisnąć w stronę środka przodu dla lepszego ściśnięcia piersi
+786;3;0;0;kolor flakony
+786;4;1;1;Ciekawy kształt
+786;6;0;0;uwagę kupującego
+786;8;1;1;Ciekawy kształt i kolor flakony
+786;9;0;0;Ciekawy kształt i kolor flakony zdecydowanie przyciąga uwagę kupującego .
+748;1;0;0;oderwać oczu
+748;4;1;1;nie można oderwać oczu
+748;5;0;0;od którego
+748;7;1;1;, od którego poprostu nie można oderwać oczu
+748;10;1;1;efektownym push upem , od którego poprostu nie można oderwać oczu
+748;12;1;1;z efektownym push upem , od którego poprostu nie można oderwać oczu
+748;13;0;0;na przodzie
+748;15;1;1;tu z efektownym push upem , od którego poprostu nie można oderwać oczu
+748;18;0;0;satynowa kokardka na przodzie
+748;20;1;1;satynowa kokardka na przodzie słodko komponuje się tu z efektownym push upem , od którego poprostu nie można oderwać oczu
+748;22;0;0;Mała , satynowa kokardka na przodzie słodko komponuje się tu z efektownym push upem , od którego poprostu nie można oderwać oczu .
+808;5;1;0;bardzo kobieca i zmysłowa
+808;6;0;0;Subtelna koronka
+808;7;0;0;Subtelna koronka jest bardzo kobieca i zmysłowa .
+229;1;0;1;z dam
+229;2;0;1;każdej z dam
+229;3;0;1;u każdej z dam
+229;5;0;1;gwarantowany u każdej z dam
+229;6;0;0;Efekt gwarantowany u każdej z dam .
+793;2;0;0;- silny ,
+793;3;0;0;tytule - silny ,
+793;4;0;0;w tytule - silny ,
+793;6;1;0;w tytule - silny , urzekający
+793;8;1;0;w tytule - silny , urzekający , kwiatowy
+793;10;0;0;Jak w tytule - silny , urzekający , kwiatowy zapach .
+615;1;0;0;letnie wieczory
+615;2;0;0;na letnie wieczory
+615;4;0;1;godny na letnie wieczory
+615;5;0;1;Polecenia godny na letnie wieczory .
+946;4;0;0;tej wody toaletowej
+946;5;1;1;Bardzo ciekawy
+946;6;0;0;w prezecie
+946;9;1;0;Bardzo ciekawy wygląd tej wody toaletowej
+946;11;0;0;dostał em ją w prezecie
+946;13;1;1;Bardzo ciekawy wygląd tej wody toaletowej sprawił
+946;14;0;0;Bardzo ciekawy wygląd tej wody toaletowej sprawił , że dostał em ją w prezecie .
+858;2;0;0;wśród biustonoszy
+858;4;0;0;Prawdziwa perła wśród biustonoszy !
+914;2;0;0;na lato
+914;3;1;1;Świetny na lato .
+636;2;0;0;po ziemi
+636;5;1;1;kobiet silnych
+636;6;0;0;, mocno stąpających po ziemi
+636;7;1;1;dla kobiet silnych
+636;9;1;0;tylko stworzony dla kobiet silnych , mocno stąpających po ziemi
+636;12;1;0;, że tylko stworzony dla kobiet silnych , mocno stąpających po ziemi
+636;14;0;0;Uważam jednak , że tylko stworzony dla kobiet silnych , mocno stąpających po ziemi .
+697;2;1;0;bardzo starannie
+697;6;1;1;bardzo starannie i dokładnie
+697;10;1;0;cena nie jest wysoka
+697;11;1;0;Biustonosz jest wykonany bardzo starannie i dokładnie
+697;12;0;0;Biustonosz jest wykonany bardzo starannie i dokładnie , cena nie jest wysoka .
+155;1;0;0;piłką nożną
+155;2;0;0;z piłką nożną
+155;5;0;0;przygody z piłką nożną
+155;6;0;0;pięknej piłkarskiej kariery
+155;8;0;0;końca przygody z piłką nożną
+155;11;0;0;Zakończenie pięknej piłkarskiej kariery
+155;12;0;0;Zakończenie pięknej piłkarskiej kariery wcale nie oznaczało końca przygody z piłką nożną .
+621;3;0;0;swoje lewe interesy
+621;6;0;0;na wolności
+621;10;0;0;dalej prowadzi swoje lewe interesy
+621;11;0;0;sprzedaje majątek
+621;13;0;0;chodzi na wolności
+621;15;0;1;żadnego skutku
+621;17;0;0;jego zeznania
+621;18;0;0;o pomoc
+621;20;0;0;Komor chodzi na wolności , sprzedaje majątek i dalej prowadzi swoje lewe interesy
+621;22;0;1;jego zeznania nie przyniosły żadnego skutku
+621;27;0;0;prośbą o pomoc
+621;28;0;0;, że jego zeznania nie przyniosły żadnego skutku , a Komor chodzi na wolności , sprzedaje majątek i dalej prowadzi swoje lewe interesy ,
+621;29;0;0;P .
+621;31;0;0;do dziennikarzy
+621;32;0;0;z prośbą o pomoc
+621;34;0;0;widząc , że jego zeznania nie przyniosły żadnego skutku , a Komor chodzi na wolności , sprzedaje majątek i dalej prowadzi swoje lewe interesy ,
+621;35;0;0;Darek P .
+621;36;0;0;Darek P . widząc , że jego zeznania nie przyniosły żadnego skutku , a Komor chodzi na wolności , sprzedaje majątek i dalej prowadzi swoje lewe interesy , zwrócił się z prośbą o pomoc do dziennikarzy .
+54;1;0;0;do ciała
+54;3;1;0;przyjemny do ciała
+54;4;0;0;Jest przyjemny do ciała .
+827;2;0;0;prawego płuca
+827;4;0;0;1996 roku
+827;7;0;0;górnym płatem prawego płuca
+827;9;0;0;grudniu 1996 roku
+827;11;0;0;niewielki nowotwór złośliwy
+827;12;0;0;wraz z górnym płatem prawego płuca
+827;14;0;0;W grudniu 1996 roku
+827;15;0;0;W grudniu 1996 roku Havlovi wraz z górnym płatem prawego płuca usunięto niewielki nowotwór złośliwy .
+887;3;1;0;pobudzający zapach
+887;4;1;0;bardzo seksowny
+887;5;0;1;bardzo seksowny i pobudzający zapach .
+895;1;0;0;młodego człowieka
+895;5;0;1;wrażliwą duszę młodego człowieka
+895;7;0;1;piękne synowskie uczucie
+895;10;0;0;mocno poranił wrażliwą duszę młodego człowieka
+895;11;0;0;Bezpowrotnie stracił piękne synowskie uczucie
+895;12;0;0;Bezpowrotnie stracił piękne synowskie uczucie i mocno poranił wrażliwą duszę młodego człowieka .
+717;1;0;0;do gustu
+717;3;0;1;przypaść do gustu
+717;4;0;0;nie każdemu
+717;5;0;0;nie każdemu może przypaść do gustu
+717;9;0;0;, choć nie każdemu może przypaść do gustu
+717;10;1;1;przepiękny zapach
+717;14;0;0;Woda perfumowana J'adore to przepiękny zapach , choć nie każdemu może przypaść do gustu .
+812;1;0;0;dość sporej
+812;2;0;-1;dość sporej ceny
+812;5;0;1;warty swojej dość sporej ceny
+812;7;0;0;Jest on warty swojej dość sporej ceny .
+184;3;0;0;jego ostrą , wibrującą
+184;4;0;1;jego ostrą , wibrującą nutę
+184;5;0;1;na jego ostrą , wibrującą nutę
+184;6;0;1;względu na jego ostrą , wibrującą nutę
+184;7;0;1;ze względu na jego ostrą , wibrującą nutę
+184;10;0;1;ten zapach ze względu na jego ostrą , wibrującą nutę
+184;14;0;1;Nie podoba mi się ten zapach ze względu na jego ostrą , wibrującą nutę .
+398;1;0;0;bardzo drogiej
+398;2;0;0;bardzo drogiej bielizny
+398;5;0;0;od bardzo drogiej bielizny
+398;7;0;1;jakość wykonania
+398;10;0;0;Poza tym
+398;12;1;-1;jakość wykonania nie odbiega od bardzo drogiej bielizny
+398;14;0;0;Poza tym nie był drogi
+398;15;0;0;Poza tym nie był drogi , a jakość wykonania nie odbiega od bardzo drogiej bielizny !
+489;2;1;1;bardzo ciekawy
+489;3;1;0;bardzo ciekawy , zapamiętywalny
+489;6;1;1;zapach bardzo ciekawy , zapamiętywalny
+489;7;0;0;Crystal Noir
+489;8;0;0;Crystal Noir to zapach bardzo ciekawy , zapamiętywalny .
+951;2;0;0;dziesięć lat łagru
+951;3;0;0;na dziesięć lat łagru
+951;4;0;0;zamieniony na dziesięć lat łagru
+951;8;0;0;wyrok śmierci , zamieniony na dziesięć lat łagru
+951;9;0;0;Otrzymuje wyrok śmierci , zamieniony na dziesięć lat łagru .
+620;2;0;0;żadne inne
+620;3;0;0;pod słońcem
+620;6;0;0;na żadne inne
+620;9;1;0;najlepsze perfumy pod słońcem
+620;11;0;0;dla mnie
+620;14;0;0;nie zamienię ich na żadne inne
+620;15;1;1;Jak dla mnie są to najlepsze perfumy pod słońcem
+620;16;0;0;Jak dla mnie są to najlepsze perfumy pod słońcem i nie zamienię ich na żadne inne .
+1059;2;1;1;ciekawy kształt
+1059;4;0;0;Butelka ma ciekawy kształt .
+460;2;1;0;jakiś sposób magiczny
+460;5;1;0;w jakiś sposób magiczny
+460;7;0;1;by uniwersalny
+460;9;1;0;za razem w jakiś sposób magiczny .
+460;10;0;0;Zapach jak by uniwersalny
+460;11;0;1;Zapach jak by uniwersalny a za razem w jakiś sposób magiczny .
+640;2;1;1;- niezwykły
+640;3;0;0;Flakon - niezwykły .
+1028;1;0;0;każdej pani
+1028;2;0;0;dla każdej pani
+1028;3;0;0;prezent dla każdej pani
+1028;5;0;0;na prezent dla każdej pani
+1028;6;1;0;Polecam na prezent dla każdej pani .
+406;2;1;1;godny uwagi
+406;5;1;1;godny uwagi i polecenia
+406;8;0;0;bardzo skromnie
+406;9;0;0;ten biustonosz
+406;13;1;1;, że ten biustonosz bardzo skromnie się prezentuje jest godny uwagi i polecenia
+406;14;0;0;Pomimo , że ten biustonosz bardzo skromnie się prezentuje jest godny uwagi i polecenia .
+885;3;0;0;, zna każdy
+885;4;0;0;ze słyszenia
+885;7;0;0;, chociażby ze słyszenia , zna każdy
+885;9;0;0;Ten zapach , chociażby ze słyszenia , zna każdy .
+204;1;0;-1;mocno zmienione
+204;4;0;0;mocno zmienione oblicza
+204;5;0;0;Hoop i Zepter
+204;8;0;0;, że Hoop i Zepter reprezentują mocno zmienione oblicza
+204;12;0;0;fakt , że Hoop i Zepter reprezentują mocno zmienione oblicza
+204;13;0;0;atrakcyjność potyczki
+204;14;0;0;Tym razem
+204;15;0;0;Tym razem atrakcyjność potyczki podniesie fakt , że Hoop i Zepter reprezentują mocno zmienione oblicza .
+1128;3;0;1;biustonosz jest super !
+967;3;1;0;ten uroczy biustonosz
+967;5;0;0;Sama posiadam ten uroczy biustonosz .
+863;2;0;1;bardzo przenikliwy
+863;3;-1;1;bardzo przenikliwy i przesycony
+863;4;-1;1;za bardzo przenikliwy i przesycony
+863;7;-1;1;zapach za bardzo przenikliwy i przesycony
+863;8;0;0;dla mnie
+863;10;0;1;Jak dla mnie to zapach za bardzo przenikliwy i przesycony .
+1013;3;0;0;kształt flakonika
+1013;4;-1;-1;Jedyny minus
+1013;5;0;0;Jedyny minus to kształt flakonika .
+471;2;-1;-1;przykrą woń
+471;3;0;0;Redukuje przykrą woń .
+586;3;0;0;dla mężczyzn
+586;4;1;1;Bardzo świetny
+586;5;0;0;Bardzo świetny perfum dla mężczyzn !
+969;1;0;0;na urodziny
+969;2;0;0;prezent na urodziny
+969;4;0;0;na prezent na urodziny
+969;6;0;0;pod choinkę
+969;7;1;1;świetny pomysł na prezent na urodziny
+969;9;1;0;świetny pomysł na prezent na urodziny czy pod choinkę
+969;12;0;0;Jest to również świetny pomysł na prezent na urodziny czy pod choinkę .
+9;1;0;0;dość intensywny
+9;3;0;0;dość intensywny zapach
+9;4;0;0;Ma dość intensywny zapach .
+255;1;0;0;tym sezonie
+255;2;0;0;w tym sezonie
+255;6;1;1;bardzo modny w tym sezonie
+255;7;0;0;purpurowego różu
+255;8;0;0;Kolor purpurowego różu bardzo modny w tym sezonie .
+1179;2;0;-1;samobójczej śmierci mężczyzny
+1179;3;0;0;o samobójczej śmierci mężczyzny
+1179;6;0;0;powiadomić rodzinę o samobójczej śmierci mężczyzny
+1179;7;0;0;Chcieli powiadomić rodzinę o samobójczej śmierci mężczyzny .
+849;2;1;1;ładnie pachnę
+849;3;0;0;- )
+849;4;1;1;ze ładnie pachnę
+849;9;1;0;: - )
+849;10;1;1;pochwaliło mnie ze ładnie pachnę
+849;11;0;0;kilka osób
+849;13;0;0;długo się utrzymują
+849;14;0;0;długo się utrzymują i juz kilka osób pochwaliło mnie ze ładnie pachnę : - )
+488;1;0;0;na prezent
+488;4;1;1;dobry pomysł na prezent
+488;6;0;0;To jest dobry pomysł na prezent .
+651;2;0;0;na wieczór
+651;5;1;1;Zdecydowanie polecam go na wieczór .
+795;1;0;0;trzy zatrzaski
+795;2;0;0;na trzy zatrzaski
+795;4;0;0;zapięcie na trzy zatrzaski
+795;5;0;0;szerokie ramiączka
+795;8;0;0;szerokie ramiączka oraz zapięcie na trzy zatrzaski
+795;9;0;0;moje poprzedniczki biustonosz
+795;10;0;0;moje poprzedniczki biustonosz posiada szerokie ramiączka oraz zapięcie na trzy zatrzaski
+795;13;0;0;pisały już moje poprzedniczki biustonosz posiada szerokie ramiączka oraz zapięcie na trzy zatrzaski
+795;15;0;0;Tak jak pisały już moje poprzedniczki biustonosz posiada szerokie ramiączka oraz zapięcie na trzy zatrzaski .
+639;2;0;0;stałego związku
+639;4;0;0;Zawsze chciał stałego związku .
+1036;2;0;0;własną rękę
+1036;4;0;0;Zatrzymani wczoraj
+1036;6;0;0;na własną rękę
+1036;7;0;0;od roku
+1036;8;-1;0;Zatrzymani wczoraj przestępcy
+1036;9;0;0;Zatrzymani wczoraj przestępcy od roku działali na własną rękę .
+549;4;0;0;pomimo skromności
+549;5;0;1;uniwersalny design
+549;8;1;0;pomimo skromności elegancko się prezentuje
+549;9;0;0;Biustonosz ma uniwersalny design
+549;10;0;0;Biustonosz ma uniwersalny design i pomimo skromności elegancko się prezentuje .
+1174;1;0;0;między piersiami
+1174;4;1;0;słodką kokardkę między piersiami
+1174;5;0;0;odpinane ramiączka
+1174;7;1;0;odpinane ramiączka i słodką kokardkę między piersiami
+1174;8;0;0;Ma odpinane ramiączka i słodką kokardkę między piersiami .
+404;2;0;0;więcej 30ml
+404;4;0;0;w sieci
+404;5;0;0;na więcej 30ml
+404;8;1;1;bardzo przyzwoita
+404;9;0;0;Cena w sieci
+404;10;0;0;pewnie skuszę się na więcej 30ml
+404;12;1;0;Cena w sieci jest bardzo przyzwoita
+404;15;1;0;Cena w sieci jest bardzo przyzwoita , więc pewnie skuszę się na więcej 30ml
+404;16;0;0;Cena w sieci jest bardzo przyzwoita , więc pewnie skuszę się na więcej niż 30ml ; )
+434;1;0;0;do gorsetów
+434;5;1;1;bardzo wygodne do gorsetów
+434;7;0;0;odpinane ramiączka
+434;10;0;0;Ma tez odpinane ramiączka co jest bardzo wygodne do gorsetów .
+700;1;0;0;romantyczny spacer
+700;3;0;0;na romantyczny spacer
+700;7;0;0;przytulali się
+700;9;0;0;Potem szli na romantyczny spacer
+700;10;0;0;Potem szli na romantyczny spacer , przytulali się i całowali .
+1143;2;-1;0;perfumy duszące
+1143;6;0;0;wręcz przeciwnie
+1143;7;0;0;Nie są to perfumy duszące
+1143;8;0;0;Nie są to perfumy duszące , wręcz przeciwnie .
+157;1;0;1;radosnym gwarem
+157;4;0;1;, zachłystując radosnym gwarem
+157;8;0;-1;I nagle zrywa się , zachłystując radosnym gwarem .
+1178;1;0;0;tego modelu
+1178;2;0;0;z tego modelu
+1178;3;0;0;lato z tego modelu
+1178;5;0;0;na lato z tego modelu
+1178;8;0;0;dużej miseczce
+1178;10;1;1;jakieś fajne kolorki na lato z tego modelu
+1178;11;0;0;o dużej miseczce
+1178;12;1;1;wypuści jakieś fajne kolorki na lato z tego modelu no
+1178;13;1;1;wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce
+1178;16;0;0;moze gaia wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce
+1178;17;0;0;moze gaia wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce ; p
+65;1;0;0;skórę szyi
+65;3;0;0;na skórę szyi
+65;4;0;0;na ciele
+65;10;0;0;naniesieniu na skórę szyi
+65;11;0;0;, czy nadgarstków długo utrzymuje się na ciele
+65;12;0;0;po naniesieniu na skórę szyi
+65;13;0;0;który po naniesieniu na skórę szyi , czy nadgarstków długo utrzymuje się na ciele
+65;16;0;0;, który po naniesieniu na skórę szyi , czy nadgarstków długo utrzymuje się na ciele
+65;17;1;1;wyrazisty , urokliwy
+65;19;1;1;wyrazisty , urokliwy zapach , który po naniesieniu na skórę szyi , czy nadgarstków długo utrzymuje się na ciele
+65;20;0;0;Ma wyrazisty , urokliwy zapach , który po naniesieniu na skórę szyi , czy nadgarstków długo utrzymuje się na ciele .
+815;4;0;0;mojej przyszłej wspaniałej macochy
+815;6;0;0;Pan Nikt
+815;8;0;0;Zosi , mojej przyszłej wspaniałej macochy
+815;11;0;0;, jako Pan Nikt
+815;12;0;0;u Zosi , mojej przyszłej wspaniałej macochy
+815;13;0;0;na Żoliborzu
+815;16;0;0;Tata ukrywał się na Żoliborzu u Zosi , mojej przyszłej wspaniałej macochy , jako Pan Nikt .
+93;1;0;0;ze znajomymi
+93;2;0;0;wieczór ze znajomymi
+93;6;0;0;kina , dyskotekę czy wieczór ze znajomymi
+93;7;0;0;do kina , dyskotekę czy wieczór ze znajomymi
+93;8;0;0;wypad do kina , dyskotekę czy wieczór ze znajomymi
+93;10;0;0;na wypad do kina , dyskotekę czy wieczór ze znajomymi
+93;13;0;0;Świetnie nadaje się na wypad do kina , dyskotekę czy wieczór ze znajomymi .
+1004;2;0;0;na Sylwestra
+1004;4;0;0;na codzień
+1004;8;1;0;elegancką bluzkę na Sylwestra
+1004;9;1;1;doskonale się sprawdza na codzień
+1004;11;0;0;okazało się
+1004;12;0;0;pod elegancką bluzkę na Sylwestra
+1004;16;1;0;okazało się , że doskonale się sprawdza na codzień
+1004;18;0;0;, że włożę go pod elegancką bluzkę na Sylwestra
+1004;21;1;0;, że włożę go pod elegancką bluzkę na Sylwestra , ale okazało się , że doskonale się sprawdza na codzień
+1004;22;0;0;z myślą
+1004;25;0;0;Kupiła m go z myślą , że włożę go pod elegancką bluzkę na Sylwestra , ale okazało się , że doskonale się sprawdza na codzień .
+721;1;0;-1;dość wysoka
+721;2;-1;-1;dość wysoka cena
+721;5;-1;0;być dość wysoka cena
+721;6;-1;-1;Jedynym mankamentem
+721;7;0;0;Jedynym mankamentem może być dość wysoka cena .
+192;1;1;1;najładniejszych perfum
+192;3;1;1;z najładniejszych perfum
+192;4;0;0;jakie kiedykolwiek
+192;5;1;1;jedne z najładniejszych perfum
+192;7;1;1;jedne z najładniejszych perfum jakie kiedykolwiek miałem
+192;9;0;0;Są to jedne z najładniejszych perfum jakie kiedykolwiek miałem .
+872;2;0;0;wyraźną pieprzową nutą
+872;4;0;0;z wyraźną pieprzową nutą
+872;5;1;1;bardzo świeżo
+872;6;1;0;bardzo świeżo i z wyraźną pieprzową nutą
+872;10;0;0;inaczej , bardzo świeżo i z wyraźną pieprzową nutą
+872;11;0;0;na skórze
+872;13;0;0;wyraźnie cytrusowy
+872;15;0;0;zapach wyraźnie cytrusowy , na skórze inaczej , bardzo świeżo i z wyraźną pieprzową nutą
+872;17;0;0;Na pasku zapach wyraźnie cytrusowy , na skórze inaczej , bardzo świeżo i z wyraźną pieprzową nutą .
+696;1;0;0;do produktu
+696;2;0;0;adekwatna do produktu
+696;5;0;0;cena jest adekwatna do produktu
+696;7;0;0;Uważam że cena jest adekwatna do produktu .
+647;3;0;0;Na dzień
+647;4;1;1;Na dzień bardzo polecam .
+909;1;0;0;pracowników Stoczni
+909;3;0;0;wśród pracowników Stoczni
+909;4;0;0;myśli twórczej
+909;7;0;0;należytemu rozwojowi myśli twórczej wśród pracowników Stoczni
+909;10;0;0;tym samym
+909;11;0;0;sprzyjać należytemu rozwojowi myśli twórczej wśród pracowników Stoczni
+909;15;0;-1;tym samym przynosi straty państwu
+909;17;0;0;nie może sprzyjać należytemu rozwojowi myśli twórczej wśród pracowników Stoczni
+909;18;0;0;Taki stosunek
+909;19;0;0;Taki stosunek nie może sprzyjać należytemu rozwojowi myśli twórczej wśród pracowników Stoczni , a tym samym przynosi straty państwu .
+610;1;0;0;dla kobiety
+610;4;1;0;doskonały prezent dla kobiety
+610;6;0;0;Jest to doskonały prezent dla kobiety .
+34;2;0;0;na wieczór
+34;4;0;0;na codzień
+34;5;1;1;Odpowiedni na wieczór
+34;6;0;0;Odpowiedni na wieczór i na codzień .
+792;1;0;0;każdym wieku
+792;3;0;0;w każdym wieku
+792;4;1;1;Polecam w każdym wieku .
+393;2;0;0;najbliższy wtorek
+393;3;0;0;Orląt Lwowskich
+393;4;0;0;w najbliższy wtorek
+393;5;0;0;Cmentarza Orląt Lwowskich
+393;7;0;0;uroczystego otwarcia Cmentarza Orląt Lwowskich w najbliższy wtorek
+393;8;0;0;dla uroczystego otwarcia Cmentarza Orląt Lwowskich w najbliższy wtorek
+393;9;0;0;warunków dla uroczystego otwarcia Cmentarza Orląt Lwowskich w najbliższy wtorek
+393;14;0;0;, że nie ma warunków dla uroczystego otwarcia Cmentarza Orląt Lwowskich w najbliższy wtorek
+393;15;0;0;Oświadczył , że nie ma warunków dla uroczystego otwarcia Cmentarza Orląt Lwowskich w najbliższy wtorek .
+552;1;0;0;każdego faceta
+552;3;0;0;dla każdego faceta
+552;5;0;1;godny polecenia dla każdego faceta .
+911;3;1;0;Gabana niczego sobie prześliczny
+911;5;1;1;Gabana niczego sobie prześliczny zapach
+911;6;0;0;Dolce& Gabana niczego sobie prześliczny zapach .
+251;2;0;0;wieczorną kolację
+251;4;0;0;we dwoje
+251;5;0;0;na wieczorną kolację
+251;7;1;1;Perfum polecam na wieczorną kolację we dwoje .
+853;1;0;0;kapitału zagranicznego
+853;2;0;0;udziałem kapitału zagranicznego
+853;5;0;0;z udziałem kapitału zagranicznego
+853;6;0;0;zerowy albo ujemny
+853;7;0;0;firm z udziałem kapitału zagranicznego
+853;8;1;0;zerowy albo ujemny zysk
+853;9;0;0;większość firm z udziałem kapitału zagranicznego
+853;13;0;0;większość firm z udziałem kapitału zagranicznego wykazuje zerowy albo ujemny zysk
+853;14;0;0;sprawa jest poważna
+853;16;0;0;A sprawa jest poważna , większość firm z udziałem kapitału zagranicznego wykazuje zerowy albo ujemny zysk .
+524;1;0;0;krajów socjalistycznych
+524;4;0;0;z krajów socjalistycznych
+524;5;0;0;komunistycznych i robotniczych
+524;6;0;0;partii komunistycznych i robotniczych z krajów socjalistycznych
+524;9;0;0;delegacji partii komunistycznych i robotniczych z krajów socjalistycznych
+524;10;0;0;owocnych obrad
+524;11;0;0;tym dniu
+524;13;0;0;przewodniczący delegacji partii komunistycznych i robotniczych z krajów socjalistycznych
+524;15;0;0;życzenia owocnych obrad
+524;16;0;0;W tym dniu
+524;17;0;0;W tym dniu życzenia owocnych obrad przekazali zjazdowi przewodniczący delegacji partii komunistycznych i robotniczych z krajów socjalistycznych .
+253;3;0;1;bardzo skromny
+253;5;1;1;też i seksowny
+253;7;0;0;Stanik bardzo skromny
+253;8;0;0;Stanik bardzo skromny , ale też i seksowny .
+881;2;1;0;niespotykanym zapachem
+881;3;1;1;bardzo intrygującym
+881;8;1;0;bardzo intrygującym i niespotykanym zapachem
+881;9;0;0;Kolejna woda toaletowa która
+881;10;0;1;Kolejna woda toaletowa która urzeka bardzo intrygującym i niespotykanym zapachem .
+1133;2;1;1;godny polecenia
+1133;4;0;0;Stanik jest godny polecenia .
+1038;2;0;0;szczególnosci latem
+1038;4;0;0;każdej brunetce
+1038;9;0;0;w szczególnosci latem
+1038;10;0;0;- )
+1038;11;1;0;- ) napewno spodoba się każdej brunetce
+1038;13;1;1;Polecam w szczególnosci latem
+1038;14;0;0;Polecam w szczególnosci latem ; - ) napewno spodoba się każdej brunetce ; - )
+1144;2;1;1;lepszej wody
+1144;3;0;0;lepszej wody niż ta
+1144;4;0;1;świecie lepszej wody niż ta
+1144;6;0;0;na świecie lepszej wody niż ta
+1144;7;0;0;dla mnie
+1144;9;1;0;juz dla mnie na świecie lepszej wody niż ta
+1144;13;0;0;i chyba nie ma juz dla mnie na świecie lepszej wody niż ta !
+613;3;0;0;na rynku
+613;4;0;0;tego typu
+613;6;0;0;Calvin Klein
+613;7;1;1;najlepszych produktów tego typu na rynku
+613;8;0;0;marki Calvin Klein
+613;10;1;1;z najlepszych produktów tego typu na rynku
+613;11;0;0;perfumowana Euphoria marki Calvin Klein
+613;13;1;0;jednym z najlepszych produktów tego typu na rynku
+613;14;0;0;Woda perfumowana Euphoria marki Calvin Klein
+613;15;0;0;Woda perfumowana Euphoria marki Calvin Klein jest jednym z najlepszych produktów tego typu na rynku .
+58;1;0;0;tych perfum
+58;2;0;0;kupna tych perfum
+58;3;0;0;od kupna tych perfum
+58;6;-1;-1;, który odrzuca od kupna tych perfum
+58;8;-1;-1;mankament , który odrzuca od kupna tych perfum
+58;10;0;0;Cena-to jest mankament , który odrzuca od kupna tych perfum .
+578;2;0;0;tej jakości
+578;5;0;-1;o cenę
+578;8;1;1;ona warta tej jakości
+578;9;0;0;Jeśli chodzi o cenę to
+578;10;0;0;Jeśli chodzi o cenę to jest ona warta tej jakości .
+904;1;0;0;pierwszym ubraniu
+904;4;0;0;po pierwszym ubraniu
+904;7;1;0;nie wychodzą druty
+904;10;1;0;nie pruje się po pierwszym ubraniu
+904;11;1;0;biustonosz jest trwały nie wychodzą druty
+904;16;1;-1;biustonosz jest trwały nie wychodzą druty i nie pruje się po pierwszym ubraniu
+904;17;1;0;Cena nie jest wysoka
+904;18;0;0;Cena nie jest wysoka , biustonosz jest trwały nie wychodzą druty i nie pruje się po pierwszym ubraniu .
+415;2;0;0;faszyzmu czy nazizmu
+415;4;0;0;do faszyzmu czy nazizmu
+415;6;0;0;młodego Johnsona
+415;9;0;0;, co młodego Johnsona tak pchało do faszyzmu czy nazizmu
+415;13;0;0;się oczywiście zastanawiać , co młodego Johnsona tak pchało do faszyzmu czy nazizmu
+415;14;0;0;Można się oczywiście zastanawiać , co młodego Johnsona tak pchało do faszyzmu czy nazizmu .
+112;2;1;1;godny uwagi
+112;5;1;1;godny uwagi i polecenia
+112;8;0;0;bardzo skromnie
+112;9;0;0;ten biustonosz
+112;13;1;1;, że ten biustonosz bardzo skromnie się prezentuje jest godny uwagi i polecenia
+112;14;0;0;Pomimo , że ten biustonosz bardzo skromnie się prezentuje jest godny uwagi i polecenia .
+416;2;1;1;Świetnie wykonany
+416;3;0;0;Świetnie wykonany biustonosz .
+241;1;0;0;typu push
+241;6;0;0;Miseczki typu push
+241;7;0;1;Miseczki typu push up świetnie podtrzymują biust .
+153;2;0;0;chłodne wieczory
+153;3;0;0;raczej okazjonalnie
+153;5;0;0;raczej okazjonalnie na chłodne wieczory
+153;6;0;0;Używany raczej okazjonalnie na chłodne wieczory .
+1181;3;0;0;tę propozycję
+1181;4;0;0;z entuzjazmem
+1181;6;0;-1;Raue z entuzjazmem przyjął tę propozycję .
+877;3;1;0;przeobrażeniem doskonałości
+877;4;0;0;Woda ta
+877;5;0;0;Woda ta jest przeobrażeniem doskonałości .
+3;3;0;1;uwodzicielski zapach
+3;4;1;1;Bardzo ładny
+3;5;0;1;Bardzo ładny , uwodzicielski zapach .
+789;1;0;0;obfitym biuście
+789;2;0;0;o obfitym biuście
+789;3;0;0;kobiet o obfitym biuście
+789;5;0;0;dla kobiet o obfitym biuście
+789;6;1;1;bardzo dobry
+789;8;-1;0;nie dla kobiet o obfitym biuście
+789;10;1;1;Pomysł bardzo dobry
+789;11;0;0;Pomysł bardzo dobry , ale nie dla kobiet o obfitym biuście .
+199;3;0;0;pod bluzeczką
+199;5;1;0;nie tylko ładnie
+199;7;1;1;nie tylko ładnie się prezentuje pod bluzeczką
+199;10;0;0;bez niej
+199;11;1;0;produkt , gdyż nie tylko ładnie się prezentuje pod bluzeczką
+199;12;0;0;także bez niej
+199;14;1;1;Polecam produkt , gdyż nie tylko ładnie się prezentuje pod bluzeczką
+199;16;1;0;Polecam produkt , gdyż nie tylko ładnie się prezentuje pod bluzeczką , ale także bez niej
+199;17;0;1;Polecam produkt , gdyż nie tylko ładnie się prezentuje pod bluzeczką , ale także bez niej ; )
+239;2;1;1;bardzo wygodny
+239;4;0;0;Stanik jest bardzo wygodny .
+709;2;0;0;na randki
+709;3;1;1;Polecam na randki .
+328;1;1;1;swoją oryginalnością
+328;5;1;0;" ten wyróżnia się swoją oryginalnością
+328;6;1;0;adidas " ten wyróżnia się swoją oryginalnością
+328;7;1;0;" adidas " ten wyróżnia się swoją oryginalnością
+328;8;1;0;typu " adidas " ten wyróżnia się swoją oryginalnością
+328;9;1;0;zapachów typu " adidas " ten wyróżnia się swoją oryginalnością
+328;11;1;0;natłoku zapachów typu " adidas " ten wyróżnia się swoją oryginalnością
+328;12;0;0;W natłoku zapachów typu " adidas " ten wyróżnia się swoją oryginalnością .
+372;2;0;-1;piękniejszej śmierci
+372;6;0;0;- Nie wyobrażam sobie piękniejszej śmierci .
+944;1;-1;0;bezpośrednich sprawców
+944;2;0;0;ukaranie bezpośrednich sprawców
+944;3;0;0;na ukaranie bezpośrednich sprawców
+944;5;0;0;szansę na ukaranie bezpośrednich sprawców
+944;8;0;0;To stworzyło by szansę na ukaranie bezpośrednich sprawców .
+676;1;0;0;lekarzy pogotowia
+676;2;0;0;przez lekarzy pogotowia
+676;5;0;0;popełnieniu przestępstwa przez lekarzy pogotowia
+676;6;0;0;po śmierci
+676;8;0;0;o popełnieniu przestępstwa przez lekarzy pogotowia
+676;11;0;0;Dzień po śmierci
+676;12;0;0;Dzień po śmierci matka powiadomiła prokuraturę o popełnieniu przestępstwa przez lekarzy pogotowia .
+166;1;-1;0;żle zszyty
+166;5;0;1;ładny , ale żle zszyty
+166;6;0;0;Konrad NAOMI
+166;8;-1;1;niby ładny , ale żle zszyty
+166;9;0;0;Biustonosz Konrad NAOMI
+166;10;0;0;Biustonosz Konrad NAOMI jest niby ładny , ale żle zszyty .
+261;1;0;0;każdego mężczyzny
+261;2;0;0;dla każdego mężczyzny
+261;4;1;0;polecenia dla każdego mężczyzny
+261;6;0;0;produkt godny polecenia dla każdego mężczyzny .
+227;1;0;1;kobiety zmysłowej
+227;2;0;1;dla kobiety zmysłowej
+227;3;1;1;idealne dla kobiety zmysłowej
+227;5;1;1;wprost idealne dla kobiety zmysłowej
+227;6;0;0;Perfumy wprost idealne dla kobiety zmysłowej .
+995;1;0;0;ująć mordercę
+995;5;0;1;, która pomoże Mühlhausowi ująć mordercę
+995;8;0;0;informację , która pomoże Mühlhausowi ująć mordercę
+995;9;0;0;od pana
+995;11;0;0;On wydobędzie od pana informację , która pomoże Mühlhausowi ująć mordercę .
+237;1;0;0;bardzo kobiecy
+237;3;0;1;bardzo kobiecy zapach
+237;6;1;1;bardzo przyjemny
+237;9;1;1;ona bardzo przyjemny , lekki i bardzo kobiecy zapach
+237;10;0;0;Ma ona bardzo przyjemny , lekki i bardzo kobiecy zapach .
+425;2;1;1;uroczy , dziewczęcy
+425;5;1;1;uroczy , dziewczęcy design
+425;7;0;0;Do tego
+425;8;0;0;Do tego biustonosz ma uroczy , dziewczęcy design .
+32;2;0;0;szkoły czy pracy
+32;6;0;0;, do szkoły czy pracy
+32;7;0;0;na codzien
+32;9;1;1;Bardzo dobry na codzien , do szkoły czy pracy .
+564;7;1;0;Świetna woda toaletowa ,
+564;8;1;0;Świetna woda toaletowa , zapach długo się utrzymuje .
+169;1;0;0;ognistym kolorze
+169;3;0;0;w ognistym kolorze
+169;4;0;0;Buteleczka w ognistym kolorze .
+1100;2;-1;0;podróbki Fahrenhaita
+1100;6;0;0;tymi osiłkami
+1100;8;-1;1;taniej podróbki Fahrenhaita
+1100;12;0;0;zamiast wziąć prysznic
+1100;13;0;0;po ćwiczeniach
+1100;16;0;0;z tymi osiłkami
+1100;17;0;0;przede wszystkim
+1100;19;-1;0;pół butelki taniej podróbki Fahrenhaita
+1100;20;0;0;na siebie
+1100;22;0;0;, co to po ćwiczeniach zamiast wziąć prysznic ,
+1100;23;0;0;się z tymi osiłkami
+1100;25;0;0;przede wszystkim kojaży
+1100;27;0;0;I przede wszystkim kojaży mi się z tymi osiłkami , co to po ćwiczeniach zamiast wziąć prysznic , to wylewają na siebie pół butelki taniej podróbki Fahrenhaita .
+1043;2;1;0;niesamowite wrażenie
+1043;4;0;0;Flakon robi niesamowite wrażenie .
+784;2;0;0;uczynić ją silną
+784;5;0;0;, by uczynić ją silną
+784;6;0;0;do Zachodu
+784;8;0;0;przywiązać Rosję do Zachodu , by uczynić ją silną
+784;12;0;0;, który chciał by przywiązać Rosję do Zachodu , by uczynić ją silną
+784;14;0;0;Piotr II , który chciał by przywiązać Rosję do Zachodu , by uczynić ją silną
+784;19;0;0;, czy Putin to Piotr II , który chciał by przywiązać Rosję do Zachodu , by uczynić ją silną
+784;21;0;0;Nie wiem , czy Putin to Piotr II , który chciał by przywiązać Rosję do Zachodu , by uczynić ją silną .
+39;2;1;0;jej warta
+39;3;0;0;woda ta
+39;7;1;0;, że woda ta jest jej warta
+39;8;0;-1;i wysoka
+39;11;1;0;myślę , że woda ta jest jej warta
+39;13;0;0;Cena może i wysoka
+39;14;0;0;Cena może i wysoka , ale myślę , że woda ta jest jej warta .
+652;2;0;0;dla każdej
+652;3;0;0;nawet najbardziej
+652;4;0;0;prezent dla każdej
+652;5;0;1;nawet najbardziej wymagającej
+652;6;0;0;na prezent dla każdej
+652;10;0;1;nawet najbardziej wymagającej kobiety
+652;11;1;0;Idealnie nadają się na prezent dla każdej
+652;12;0;0;Idealnie nadają się na prezent dla każdej , nawet najbardziej wymagającej kobiety .
+522;1;1;1;pełną aprobatą
+522;4;0;0;z pełną aprobatą
+522;5;0;0;jego patronat
+522;7;0;1;Kołem Młodych
+522;11;0;0;młodzież przyjęła jego patronat z pełną aprobatą
+522;12;0;0;Dlatego zajął się Kołem Młodych
+522;13;0;0;Dlatego zajął się Kołem Młodych i młodzież przyjęła jego patronat z pełną aprobatą .
+1010;2;0;0;na świecie
+1010;4;0;0;najlepsze perfumy na świecie .
+588;7;1;0;, że kobieta czuje się pewniej
+588;8;1;0;Ładniejszy biust
+588;9;0;0;Ładniejszy biust sprawia , że kobieta czuje się pewniej .
+809;2;0;0;na lato
+809;3;1;1;Idealny na lato .
+250;2;1;1;pewnych siebie pań
+250;4;1;1;przebojowych i pewnych siebie pań
+250;5;1;1;dla przebojowych i pewnych siebie pań
+250;8;1;0;sam raz dla przebojowych i pewnych siebie pań
+250;9;0;0;W sam raz dla przebojowych i pewnych siebie pań .
+662;3;0;0;swojego wielkiego poprzednika klasycznego
+662;7;-1;0;nijak do swojego wielkiego poprzednika klasycznego
+662;9;0;0;Ma się nijak do swojego wielkiego poprzednika klasycznego Eternity .
+577;1;0;0;dla mężczyzn
+577;2;0;0;goleniu dla mężczyzn
+577;5;0;0;po goleniu dla mężczyzn
+577;6;1;1;Bardzo oryginalna
+577;7;0;0;Bardzo oryginalna woda po goleniu dla mężczyzn .
+756;1;0;0;bardzo prostą
+756;4;0;0;bardzo prostą butelkę
+756;5;0;0;Mają oryginalną
+756;6;0;0;Mają oryginalną , bardzo prostą butelkę .
+942;2;0;0;słodki i esencjonalny
+942;4;0;1;zapach słodki i esencjonalny
+942;6;0;0;Euphoria to zapach słodki i esencjonalny .
+537;7;-1;-1;żadną rewelacją
+537;9;0;0;Ten samonośny biustonosz
+537;11;0;0;by się można było spodziewać
+537;12;-1;0;Ten samonośny biustonosz nie jest żadną rewelacją
+537;13;0;0;Ten samonośny biustonosz nie jest żadną rewelacją jak by się można było spodziewać .
+847;5;0;0;do figury
+847;6;1;1;Bardzo dobrze
+847;8;1;0;miseczki idealnie modelują biust
+847;10;1;1;Bardzo dobrze dolega do figury
+847;11;0;0;Bardzo dobrze dolega do figury , a miseczki idealnie modelują biust .
+1127;1;0;0;cienką bluzkę
+1127;2;0;0;pod cienką bluzkę
+1127;5;0;0;go ubrać pod cienką bluzkę
+1127;6;0;0;Można go ubrać pod cienką bluzkę .
+333;2;0;1;markowe perfumy
+333;4;0;0;bardzo duża
+333;6;0;1;są to markowe perfumy
+333;9;-1;-1;Cena bardzo duża
+333;10;0;0;Cena bardzo duża , ale jednak są to markowe perfumy .
+409;1;0;0;przede wszystkim
+409;3;0;0;Zapach przede wszystkim
+409;5;1;1;perfum wydajny
+409;6;1;1;Zapach przede wszystkim trwały
+409;7;0;1;Zapach przede wszystkim trwały a perfum wydajny .
+530;1;0;0;zanadrzu gotówki
+530;3;0;0;w zanadrzu gotówki
+530;6;0;0;na prezent
+530;7;0;0;Jeśli ktoś ma w zanadrzu gotówki
+530;8;1;0;Jeśli ktoś ma w zanadrzu gotówki polecam na prezent
+516;2;0;0;do piersi
+516;6;0;0;uwydatnia je
+516;9;1;0;Idealnie dopasowuję się do piersi
+516;10;1;0;Idealnie dopasowuję się do piersi , podnosi i uwydatnia je .
+75;2;-1;-1;bez rewelacji
+75;3;0;1;Flakonik bez rewelacji .
+731;1;0;0;codziennego użytku
+731;3;0;0;do codziennego użytku
+731;6;0;0;wieczorną randkę
+731;8;1;1;Perfumy dobre zarówno do codziennego użytku
+731;10;0;0;na wieczorną randkę
+731;11;1;0;Perfumy dobre zarówno do codziennego użytku , jak
+731;12;0;0;Perfumy dobre zarówno do codziennego użytku , jak i na wieczorną randkę .
+634;2;0;0;. .
+634;3;0;0;KARZEDEGO FACETA
+634;4;0;0;. . .
+634;5;0;1;NA KARZEDEGO FACETA
+634;7;0;0;) . . .
+634;8;0;1;DZIAŁA NA KARZEDEGO FACETA
+634;9;1;0;PODNIECA REWELACYJNIE
+634;10;0;0;- ) . . .
+634;11;1;1;PODNIECA REWELACYJNIE I DZIAŁA NA KARZEDEGO FACETA
+634;12;0;0;PODNIECA REWELACYJNIE I DZIAŁA NA KARZEDEGO FACETA ; - ) . . .
+1111;2;1;1;bardzo przyjemny
+1111;5;1;0;świerzy zapach
+1111;6;1;1;Perfumy mają bardzo przyjemny
+1111;7;0;0;Perfumy mają bardzo przyjemny i świerzy zapach .
+35;2;0;0;w noszeniu
+35;4;0;0;do figury
+35;6;1;1;bardzo wygodny w noszeniu
+35;8;0;0;dopasowuje się do figury
+35;9;1;1;Jest bardzo wygodny w noszeniu
+35;10;0;0;Jest bardzo wygodny w noszeniu i dopasowuje się do figury .
+399;2;0;0;rozpoznawalnych zapachów Armaniego
+399;5;1;0;najbardziej kultowych i rozpoznawalnych zapachów Armaniego
+399;7;1;1;z najbardziej kultowych i rozpoznawalnych zapachów Armaniego
+399;9;0;0;Chyba jeden z najbardziej kultowych i rozpoznawalnych zapachów Armaniego .
+999;1;0;0;typu push
+999;6;0;0;Miseczki typu push
+999;7;0;1;Miseczki typu push up świetnie podtrzymują biust .
+871;3;0;0;o poranku
+871;5;0;0;na skórze
+871;6;1;1;bardzo przyjemny
+871;7;0;0;kropla rosy o poranku
+871;9;1;1;bardzo przyjemny dotyk na skórze
+871;12;0;0;, niczym kropla rosy o poranku
+871;13;1;1;orzeżwiający i bardzo przyjemny dotyk na skórze
+871;14;0;0;Pozostawia orzeżwiający i bardzo przyjemny dotyk na skórze , niczym kropla rosy o poranku .
+134;1;1;1;też świetnym
+134;2;1;1;też świetnym prezentem
+134;5;1;1;być też świetnym prezentem
+134;6;0;0;Woda toaletowa
+134;7;0;0;Woda toaletowa może być też świetnym prezentem .
+267;2;1;1;zmysłowa bielizna
+267;5;0;0;Śliczna sexowna i zmysłowa bielizna .
+974;4;0;0;w dotyku
+974;5;1;1;miękki i przyjemny
+974;6;0;0;Materiał miękki i przyjemny w dotyku .
+723;2;0;0;najpodlejszym , cuchnącym
+723;3;0;0;najpodlejszym , cuchnącym bagnie
+723;6;0;-1;w najpodlejszym , cuchnącym bagnie
+723;8;0;1;Upragnioną miłość
+723;9;0;0;Upragnioną miłość zanurzył eś w najpodlejszym , cuchnącym bagnie .
+1025;2;0;0;młodych facetów
+1025;4;0;0;Raczej dla młodych facetów .
+690;3;0;0;kształt flakonika
+690;4;-1;-1;Jedyny minus
+690;5;0;0;Jedyny minus to kształt flakonika .
+571;2;0;0;w berecie
+571;4;0;0;jakiejś babci w berecie która
+571;7;0;0;do jakiejś babci w berecie która
+571;9;0;0;do kościoła
+571;10;0;0;Pasuje do jakiejś babci w berecie która właśnie
+571;11;0;0;Pasuje do jakiejś babci w berecie która właśnie idzie do kościoła .
+850;3;1;0;dość solidnie
+850;5;1;1;trwały i wytrzymały
+850;6;1;0;dość solidnie wykonany
+850;7;0;0;Stanik ten
+850;9;1;1;jest trwały i wytrzymały
+850;10;1;0;Stanik ten jest dość solidnie wykonany
+850;11;0;0;Stanik ten jest dość solidnie wykonany , jest trwały i wytrzymały .
+168;1;0;0;z niego
+168;2;0;1;z niego dumny
+168;8;0;0;, że ojciec był by z niego dumny
+168;9;0;0;Czuł , że ojciec był by z niego dumny .
+796;2;0;0;zdobień i ażurków
+796;3;0;0;mnóstwem zdobień i ażurków
+796;5;0;0;, z mnóstwem zdobień i ażurków
+796;7;0;0;precyzyjnie wykończony , z mnóstwem zdobień i ażurków
+796;9;0;-1;i precyzyjnie wykończony , z mnóstwem zdobień i ażurków
+796;11;0;1;Bardzo ładnie i precyzyjnie wykończony , z mnóstwem zdobień i ażurków .
+188;2;-1;-1;brutalni przestępcy
+188;3;0;0;z mieszkania
+188;6;0;-1;, które zrabowali z mieszkania brutalni przestępcy
+188;7;0;-1;przedmiotów , które zrabowali z mieszkania brutalni przestępcy
+188;9;0;0;listę przedmiotów , które zrabowali z mieszkania brutalni przestępcy
+188;10;0;0;Sporządzono listę przedmiotów , które zrabowali z mieszkania brutalni przestępcy .
+79;3;1;0;kobieta pożądana
+79;5;0;0;mi dorosnąć
+79;6;0;0;Nuta serca
+79;8;1;0;stać się kobieta pożądana
+79;9;0;1;Nuta serca pozwoliła mi dorosnąć
+79;10;0;0;Nuta serca pozwoliła mi dorosnąć i stać się kobieta pożądana .
+1092;1;0;0;pewnym czasie
+1092;4;0;0;dopiero po pewnym czasie
+1092;6;1;0;urzekły mnie dopiero po pewnym czasie .
+413;3;-1;-1;nieco za ciężki
+413;5;0;0;Na dzień nieco za ciężki .
+1020;3;0;0;uwydatnia biust
+1020;4;0;0;, który podkreśla
+1020;5;0;0;, który podkreśla i uwydatnia biust
+1020;9;1;1;fajny krój , który podkreśla i uwydatnia biust
+1020;10;0;0;Przy tym
+1020;11;0;0;Przy tym ma fajny krój , który podkreśla i uwydatnia biust .
+19;4;1;1;bardzo uroczy i seksowny
+19;6;0;0;Stanik jest bardzo uroczy i seksowny .
+108;2;1;1;najbardziej adekwatna
+108;5;0;0;do zapachu
+108;6;1;0;Energise jak najbardziej adekwatna
+108;7;0;0;Nazwa Energise jak najbardziej adekwatna do zapachu .
+560;1;0;1;nowymi zapachami
+560;2;0;0;z nowymi zapachami
+560;4;0;1;konkurować z nowymi zapachami
+560;6;0;0;Spokojnie mogą konkurować z nowymi zapachami .
+1145;1;0;0;każdej kobiety
+1145;2;0;0;dla każdej kobiety
+1145;4;0;0;prezent dla każdej kobiety
+1145;6;0;0;Idealny jako prezent dla każdej kobiety .
+213;1;1;1;niepowtarzalnym flakonie
+213;2;1;1;w niepowtarzalnym flakonie
+213;4;1;1;umieszczona w niepowtarzalnym flakonie
+213;5;0;1;Całość umieszczona w niepowtarzalnym flakonie .
+158;1;0;0;młodych kobiet
+158;2;0;0;dla młodych kobiet
+158;5;0;0;sam raz dla młodych kobiet
+158;6;0;0;W sam raz dla młodych kobiet .
+2;1;0;0;bardzo kobiecych
+2;2;0;0;bardzo kobiecych kolorach
+2;4;0;0;w bardzo kobiecych kolorach
+2;5;1;1;ładny krój
+2;7;0;0;jest w bardzo kobiecych kolorach
+2;8;1;1;Ma ładny krój
+2;9;0;0;Ma ładny krój i jest w bardzo kobiecych kolorach .
+504;2;0;1;klasyczny perfum
+504;4;1;0;klasyczny perfum bardzo trwała
+504;6;0;0;intesywna woń
+504;7;1;0;to klasyczny perfum bardzo trwała
+504;8;0;0;to klasyczny perfum bardzo trwała , intesywna woń .
+1153;2;0;0;za fiolkę
+1153;4;0;0;za fiolkę 125 ml
+1153;6;0;0;Dobra cena za fiolkę 125 ml .
+761;1;0;0;wzornictwa przemysłowego
+761;2;0;0;centrum wzornictwa przemysłowego
+761;3;0;0;utworzenia centrum wzornictwa przemysłowego
+761;4;0;0;do utworzenia centrum wzornictwa przemysłowego
+761;6;0;1;świetne miejsce do utworzenia centrum wzornictwa przemysłowego
+761;11;0;0;, że będzie to świetne miejsce do utworzenia centrum wzornictwa przemysłowego
+761;13;0;0;Zgodnie ocenili , że będzie to świetne miejsce do utworzenia centrum wzornictwa przemysłowego .
+36;2;0;0;najbardziej chyba znanych
+36;4;0;0;z najbardziej chyba znanych
+36;5;0;0;wszystkich zapachów
+36;6;0;0;jeden z najbardziej chyba znanych
+36;8;0;0;przez wszystkich zapachów
+36;9;0;0;to jeden z najbardziej chyba znanych
+36;10;0;0;5 to jeden z najbardziej chyba znanych przez wszystkich zapachów .
+305;2;0;0;uznanego progu ubóstwa
+305;6;0;0;poniżej uznanego progu ubóstwa
+305;7;0;0;znaczny procent mieszkańców
+305;8;0;0;w którym
+305;10;0;0;, w którym znaczny procent mieszkańców żyje poniżej uznanego progu ubóstwa
+305;11;0;0;kraju , w którym znaczny procent mieszkańców żyje poniżej uznanego progu ubóstwa
+305;16;0;0;rozwój gospodarczy kraju , w którym znaczny procent mieszkańców żyje poniżej uznanego progu ubóstwa
+305;18;0;0;Wysoka liczba urodzeń
+305;19;0;0;Wysoka liczba urodzeń hamuje także rozwój gospodarczy kraju , w którym znaczny procent mieszkańców żyje poniżej uznanego progu ubóstwa .
+302;2;0;0;irlandzkiego i europejskiego
+302;3;0;0;prawa irlandzkiego i europejskiego
+302;4;0;0;harmonizowania prawa irlandzkiego i europejskiego
+302;5;0;0;problemów harmonizowania prawa irlandzkiego i europejskiego
+302;7;1;0;wybitny znawca problemów harmonizowania prawa irlandzkiego i europejskiego
+302;9;0;0;jako wybitny znawca problemów harmonizowania prawa irlandzkiego i europejskiego
+302;10;0;0;tym okresie
+302;13;0;0;uznanie jako wybitny znawca problemów harmonizowania prawa irlandzkiego i europejskiego
+302;14;0;0;w tym okresie
+302;15;0;0;Mary Robinson
+302;16;0;0;Mary Robinson zdobyła w tym okresie uznanie jako wybitny znawca problemów harmonizowania prawa irlandzkiego i europejskiego .
+743;1;0;0;na skórze
+743;6;0;0;, który długo utrzymuje się na skórze
+743;10;1;0;one wyjątkowy zapach , który długo utrzymuje się na skórze
+743;11;0;0;Mają one wyjątkowy zapach , który długo utrzymuje się na skórze .
+147;3;0;0;na świecie
+147;5;0;0;swych egoistycznych interesów
+147;6;0;0;pochód postępu na świecie
+147;7;0;0;imię swych egoistycznych interesów
+147;8;0;0;powstrzymać pochód postępu na świecie
+147;9;0;0;w imię swych egoistycznych interesów
+147;12;0;0;, które w imię swych egoistycznych interesów chcą powstrzymać pochód postępu na świecie
+147;13;0;0;siłami , które w imię swych egoistycznych interesów chcą powstrzymać pochód postępu na świecie
+147;15;0;0;z siłami , które w imię swych egoistycznych interesów chcą powstrzymać pochód postępu na świecie
+147;16;0;0;wielu miejscach
+147;17;-1;-1;walki z siłami , które w imię swych egoistycznych interesów chcą powstrzymać pochód postępu na świecie
+147;19;0;0;w wielu miejscach
+147;23;0;0;, iż w wielu miejscach toczą się walki z siłami , które w imię swych egoistycznych interesów chcą powstrzymać pochód postępu na świecie
+147;25;0;0;Wiecie także , iż w wielu miejscach toczą się walki z siłami , które w imię swych egoistycznych interesów chcą powstrzymać pochód postępu na świecie .
+1068;1;0;0;starszych kobiet
+1068;2;0;0;dla starszych kobiet
+1068;3;1;0;Odpowiednie dla starszych kobiet
+133;1;0;0;krakowskich atelier
+133;2;0;0;z krakowskich atelier
+133;3;0;1;jednym z krakowskich atelier
+133;7;0;1;w jednym z krakowskich atelier
+133;8;0;0;powstańczym stroju
+133;10;0;0;powstańcza prasa
+133;12;0;0;oryginalne dokumenty
+133;13;0;1;wykonana w jednym z krakowskich atelier
+133;15;0;0;w powstańczym stroju
+133;18;0;0;oryginalne dokumenty , powstańcza prasa i ulotki
+133;21;0;1;jego piękna fotografia w powstańczym stroju , wykonana w jednym z krakowskich atelier
+133;23;0;0;jego piękna fotografia w powstańczym stroju , wykonana w jednym z krakowskich atelier , a także oryginalne dokumenty , powstańcza prasa i ulotki
+133;25;0;0;Zachowała się jego piękna fotografia w powstańczym stroju , wykonana w jednym z krakowskich atelier , a także oryginalne dokumenty , powstańcza prasa i ulotki .
+245;2;1;0;idealnymi krągłościami
+245;3;1;0;idealnymi krągłościami i ponętnym
+245;9;1;0;, emanując idealnymi krągłościami i ponętnym
+245;11;0;0;każdy biust
+245;14;1;1;Ślicznie wymodelowany
+245;16;0;0;jędrnym wizerunkiem
+245;17;1;0;, iż każdy biust wygląda zachwycająco , emanując idealnymi krągłościami i ponętnym ,
+245;18;1;1;Ślicznie wymodelowany fasonik
+245;19;0;0;Ślicznie wymodelowany fasonik sprawia , iż każdy biust wygląda zachwycająco , emanując idealnymi krągłościami i ponętnym , jędrnym wizerunkiem .
+943;1;0;1;pierwszego węchu
+943;2;0;1;od pierwszego węchu
+943;4;1;1;zachwyt od pierwszego węchu
+943;6;0;0;coś takiego
+943;9;1;1;coś takiego co powoduje zachwyt od pierwszego węchu
+943;10;0;0;w sobie
+943;11;0;0;Ma w sobie coś takiego co powoduje zachwyt od pierwszego węchu .
+631;1;0;0;w dotyki
+631;3;1;1;miły w dotyki
+631;5;0;1;niezwykle miękki
+631;6;1;1;Jest miły w dotyki
+631;7;0;1;Jest miły w dotyki i niezwykle miękki .
+576;2;0;0;duży biust
+576;4;0;0;każdej pani
+576;5;0;1;mały czy duży biust
+576;6;0;0;do każdej pani
+576;7;0;1;ma mały czy duży biust
+576;8;0;0;dopasowany do każdej pani
+576;10;0;0;dopasowany do każdej pani czy ma mały czy duży biust
+576;11;0;0;Jest dopasowany do każdej pani czy ma mały czy duży biust .
+1163;4;1;0;każdej zmysłowej , seksownej
+1163;5;1;0;Dior Cherie-rewelacja
+1163;6;1;0;każdej zmysłowej , seksownej kobiety
+1163;7;1;1;Miss Dior Cherie-rewelacja
+1163;8;1;0;dla każdej zmysłowej , seksownej kobiety
+1163;9;1;1;Dior Miss Dior Cherie-rewelacja
+1163;11;1;1;Christian Dior Miss Dior Cherie-rewelacja dla każdej zmysłowej , seksownej kobiety
+1163;12;1;1;Polecam Christian Dior Miss Dior Cherie-rewelacja dla każdej zmysłowej , seksownej kobiety .
+899;2;0;0;za co
+899;4;1;0;, za co dodatkowy plus
+899;7;1;0;inną nutę zapachową , za co dodatkowy plus
+899;8;1;0;nieco inną nutę zapachową , za co dodatkowy plus
+899;11;1;0;w nieco inną nutę zapachową , za co dodatkowy plus
+899;12;0;0;Po czasie
+899;13;0;0;Po czasie przechodzi w nieco inną nutę zapachową , za co dodatkowy plus .
+271;3;1;0;zmysłowe , haftowane
+271;4;0;0;biustonosz Gabriella
+271;6;1;0;zmysłowe , haftowane kwiaty
+271;9;1;0;zmysłowe , haftowane kwiaty , czyli biustonosz Gabriella
+271;10;0;0;Jednolity kolor
+271;11;0;0;Jednolity kolor oraz zmysłowe , haftowane kwiaty , czyli biustonosz Gabriella .
+1053;1;1;1;tak świetnej
+1053;3;0;1;tak świetnej kondycji
+1053;4;0;0;do finału
+1053;5;0;1;w tak świetnej kondycji
+1053;9;0;0;, by w tak świetnej kondycji dotańczyć do finału
+1053;12;0;0;- Co robicie , by w tak świetnej kondycji dotańczyć do finału ?
+759;1;1;0;specjalny wieczór
+759;3;1;0;na specjalny wieczór
+759;4;1;0;Pasuje na specjalny wieczór .
+461;3;1;1;Bardzo fajny
+461;4;0;0;Bardzo fajny desing butelki .
+528;1;0;0;w prezencie
+528;5;0;0;przyjaciółki w prezencie
+528;7;1;1;bardzo fajna
+528;8;0;0;& Gabbana
+528;9;0;0;na osiemnastkę
+528;10;0;0;od przyjaciółki w prezencie
+528;13;1;1;bardzo fajna woda perfumowana
+528;14;0;0;Dolce & Gabbana
+528;16;0;0;dostała m ją od przyjaciółki w prezencie na osiemnastkę
+528;17;1;0;Dolce & Gabbana to bardzo fajna woda perfumowana
+528;18;0;0;Dolce & Gabbana to bardzo fajna woda perfumowana , dostała m ją od przyjaciółki w prezencie na osiemnastkę .
+332;3;0;0;Buteleczka klasyczna
+332;4;0;0;Buteleczka klasyczna a cena ?
+939;1;0;0;najbliższym czasie
+939;2;0;0;w najbliższym czasie
+939;6;0;0;na pewno w najbliższym czasie
+939;7;0;0;Te perfumy
+939;8;0;0;Te perfumy zakupię na pewno w najbliższym czasie .
+988;2;0;0;aktywnych ,
+988;3;0;0;nieujarzmionych panów
+988;4;0;0;aktywnych , dzikiech
+988;6;0;0;aktywnych , dzikiech i nieujarzmionych panów
+988;7;0;0;Dla aktywnych , dzikiech i nieujarzmionych panów .
+601;2;1;0;efektywną buteleczkę
+601;3;0;0;Ma efektywną buteleczkę .
+824;1;0;0;kanonu zapachów
+824;3;0;0;do kanonu zapachów
+824;5;0;0;już dawno
+824;9;0;0;, która już dawno wpisała się do kanonu zapachów
+824;11;0;0;Klasyczna woda , która już dawno wpisała się do kanonu zapachów .
+66;2;0;0;własny , indywidualny
+66;4;1;1;kochających własny , indywidualny
+66;5;1;1;kochających własny , indywidualny styl życia
+66;8;1;1;kobiet stylowych , kochających własny , indywidualny styl życia
+66;10;1;0;dla kobiet stylowych , kochających własny , indywidualny styl życia
+66;13;0;0;Woda perfumowana przeznaczona dla kobiet stylowych , kochających własny , indywidualny styl życia .
+596;3;0;0;cały dzień
+596;4;0;0;kropelek perfumu
+596;5;0;0;bardzo długo
+596;6;0;0;przez cały dzień
+596;7;0;0;kilka kropelek perfumu
+596;8;0;0;na bardzo długo
+596;12;0;0;pachnie przez cały dzień
+596;13;0;0;wystarczy kilka kropelek perfumu
+596;15;0;0;Woda perfumowana starcza na bardzo długo
+596;16;0;0;Woda perfumowana starcza na bardzo długo , wystarczy kilka kropelek perfumu a pachnie przez cały dzień .
+873;4;1;1;Najlepszy zapach Versace
+873;5;0;1;Najlepszy zapach Versace jak dotąd .
+408;2;1;1;najlepszych perfum jakie
+408;3;1;1;z najlepszych perfum jakie
+408;6;1;1;Jedne z najlepszych perfum jakie
+408;7;0;0;Jedne z najlepszych perfum jakie miała m .
+449;4;1;0;, który się nie nudzi
+449;6;1;0;Zapach , który się nie nudzi
+449;7;0;0;One -
+449;9;1;0;Gabbana The One - Zapach , który się nie nudzi
+449;11;1;0;Dolce& Gabbana The One - Zapach , który się nie nudzi
+449;12;0;0;Perfumy Dolce& Gabbana The One - Zapach , który się nie nudzi .
+473;1;0;1;dojrzałą kobietą
+473;3;0;0;z dojrzałą kobietą
+473;8;0;0;5 zdecydowanie kojarzy mi się z dojrzałą kobietą .
+918;5;0;1;tak ładnie
+918;6;0;0;ten biustonosz
+918;9;0;0;cena też
+918;10;0;0;do tego
+918;11;1;1;Przepięknie wygląda ten biustonosz tak ładnie się
+918;13;1;0;do tego cena też jest korzystna
+918;14;1;1;Przepięknie wygląda ten biustonosz tak ładnie się prezentuje
+918;15;0;0;Przepięknie wygląda ten biustonosz tak ładnie się prezentuje a do tego cena też jest korzystna .
+985;2;0;0;, jak
+985;4;-1;0;, jak i przeciwniczek
+985;8;0;0;owych perfum
+985;9;0;0;zarówno tak wiele zwolenniczek , jak i przeciwniczek
+985;12;0;0;poprzednikiem owych perfum
+985;13;0;0;, który ma zarówno tak wiele zwolenniczek , jak i przeciwniczek
+985;14;0;0;z poprzednikiem owych perfum
+985;19;0;0;5 , który ma zarówno tak wiele zwolenniczek , jak i przeciwniczek
+985;21;0;1;podobieństwa z poprzednikiem owych perfum
+985;22;0;0;na myśli
+985;24;0;0;specyficzny zapach "
+985;25;0;0;Mówiąc "
+985;27;0;0;kultowym numerze 5 , który ma zarówno tak wiele zwolenniczek , jak i przeciwniczek
+985;29;0;0;Mówiąc " specyficzny zapach " nie mam na myśli podobieństwa z poprzednikiem owych perfum
+985;30;0;0;Mówiąc " specyficzny zapach " nie mam na myśli podobieństwa z poprzednikiem owych perfum , czyli kultowym numerze 5 , który ma zarówno tak wiele zwolenniczek , jak i przeciwniczek .
+541;2;0;0;kobiety jako opinia
+541;4;0;0;oko kobiety jako opinia
+541;6;1;0;Przyda się oko kobiety jako opinia .
+48;2;0;0;taki krój
+48;3;0;1;troszkę wysoka
+48;5;0;0;na taki krój
+48;7;-1;-1;cena troszkę wysoka
+48;9;0;0;Jednak cena troszkę wysoka , jak na taki krój .
+867;1;0;0;tym sezonie
+867;2;0;0;w tym sezonie
+867;6;1;1;bardzo modny w tym sezonie
+867;7;0;0;purpurowego różu
+867;8;0;0;Kolor purpurowego różu bardzo modny w tym sezonie .
+18;1;0;0;sukni wieczorowej
+18;3;0;0;do sukni wieczorowej
+18;6;1;1;Idealnie pasuje również do sukni wieczorowej .
+817;1;0;0;po prostu
+817;4;1;1;po prostu boski
+817;5;0;0;Ten biustonosz
+817;6;0;0;Ten biustonosz jest po prostu boski .
+592;1;0;0;ku górze
+592;2;0;0;nadmierni ku górze
+592;9;0;0;, że biustonosz unosi się nadmierni ku górze
+592;11;0;0;Przez to
+592;12;0;0;Przez to zdarza się , że biustonosz unosi się nadmierni ku górze .
+968;1;0;0;kształtu biustu
+968;3;0;0;do kształtu biustu
+968;6;0;0;Świetnie dopasowuje się do kształtu biustu .
+938;3;1;1;przepiękny , prosty
+938;4;0;1;duży kryształ
+938;6;1;1;przepiękny , prosty flakon
+938;8;0;1;zakrętka przypomina duży kryształ
+938;10;1;0;Mają przepiękny , prosty flakon
+938;11;0;0;Mają przepiękny , prosty flakon , lecz zakrętka przypomina duży kryształ .
+825;2;0;0;Ten zapach
+825;5;1;0;Ten zapach uwiódł mnie
+825;6;0;0;Ten zapach uwiódł mnie i uzależnił !
+833;2;0;0;wspaniałą lekcję historii
+833;4;0;0;za wspaniałą lekcję historii
+833;7;0;0;Obaj uznali je za wspaniałą lekcję historii .
+735;3;1;1;godnym polecenia
+735;4;0;0;perfumowana firmy Chanel
+735;6;1;1;produktem godnym polecenia
+735;9;0;0;Woda perfumowana firmy Chanel
+735;10;0;0;Woda perfumowana firmy Chanel Coco Mademoiselle jest produktem godnym polecenia .
+976;2;-1;0;horrendalna cena
+976;4;0;0;Jest to horrendalna cena .
+274;4;0;0;podkreśla biust
+274;5;1;1;Świetnie opływa ciało
+274;6;0;0;Świetnie opływa ciało i podkreśla biust .
+961;2;1;1;dobre perfumy
+961;5;0;0;szczególnie zapachy
+961;6;1;0;Mają naprawdę dobre perfumy
+961;7;0;0;Mają naprawdę dobre perfumy , szczególnie zapachy .
+1040;2;0;0;powojennej polityki europejskiej
+1040;5;0;0;najwybitniejszych kreatorów powojennej polityki europejskiej
+1040;7;0;0;- Dietrich
+1040;9;0;0;do najwybitniejszych kreatorów powojennej polityki europejskiej
+1040;10;0;0;Hans - Dietrich Genscher
+1040;11;0;0;Hans - Dietrich Genscher należy do najwybitniejszych kreatorów powojennej polityki europejskiej .
+377;2;0;0;ten biustonosz
+377;3;1;1;czystym sumieniem
+377;5;1;0;polecić ten biustonosz
+377;6;1;1;Z czystym sumieniem
+377;7;0;0;Z czystym sumieniem mogę polecić ten biustonosz .
+826;3;1;1;bardzo interesującą
+826;4;0;0;różnych nutek zapachowych
+826;7;1;1;bardzo interesującą mieszankę
+826;8;1;0;Ciekawe zestawienie różnych nutek zapachowych
+826;9;0;1;Ciekawe zestawienie różnych nutek zapachowych daje bardzo interesującą mieszankę .
+456;3;0;0;także papużki
+456;7;0;0;się kąpać
+456;8;0;0;Wszystkie ptaki , także papużki ,
+456;9;1;1;Wszystkie ptaki , także papużki , lubią się kąpać .
+451;3;0;0;zmęczenia i bałaganu
+451;5;0;0;Zbyt szybkie
+451;7;0;0;do zmęczenia i bałaganu
+451;9;0;0;Zbyt szybkie tempo życia
+451;10;0;0;Zbyt szybkie tempo życia doprowadza zwykle do zmęczenia i bałaganu .
+565;1;0;0;na mnie
+565;2;0;-1;napadem na mnie
+565;3;0;-1;z napadem na mnie
+565;4;0;1;wspólnego z napadem na mnie
+565;5;0;1;coś wspólnego z napadem na mnie
+565;6;0;1;mieć coś wspólnego z napadem na mnie
+565;9;0;1;on mógł mieć coś wspólnego z napadem na mnie
+565;11;0;0;Czekaj , on mógł mieć coś wspólnego z napadem na mnie ?
+990;2;1;0;rześkim , ożywczym
+990;3;1;0;rześkim , ożywczym zapachu
+990;5;1;1;o rześkim , ożywczym zapachu
+990;7;0;0;Woda toaletowa o rześkim , ożywczym zapachu .
+136;4;0;0;zachód słońca
+136;5;0;0;przed oczami
+136;7;-1;0;jakieś niepokojące odczucia
+136;9;0;0;ciągle mam przed oczami zachód słońca
+136;10;-1;0;kolor przynosi jakieś niepokojące odczucia
+136;12;-1;0;kolor przynosi jakieś niepokojące odczucia ( ciągle mam przed oczami zachód słońca
+136;14;0;0;Flakon kształtem
+136;16;-1;0;kolor przynosi jakieś niepokojące odczucia ( ciągle mam przed oczami zachód słońca )
+136;18;-1;0;Flakon kształtem nie zachwyca
+136;19;0;0;Flakon kształtem nie zachwyca , ale kolor przynosi jakieś niepokojące odczucia ( ciągle mam przed oczami zachód słońca ) .
+1024;2;0;0;ku sobie
+1024;6;1;0;się uśmiechać ku sobie radośnie
+1024;8;0;0;w oczy
+1024;10;0;0;młode istoty
+1024;12;0;0;nagle zaczęły się uśmiechać ku sobie radośnie
+1024;13;0;0;patrzyły sobie w oczy
+1024;14;0;0;Dwie młode istoty
+1024;15;0;0;Dwie młode istoty patrzyły sobie w oczy i nagle zaczęły się uśmiechać ku sobie radośnie .
+1109;1;0;0;codzień jak
+1109;3;0;0;na codzień jak
+1109;5;0;0;na wieczór
+1109;6;1;1;Idealne na codzień jak
+1109;7;0;0;Idealne na codzień jak i na wieczór .
+1063;3;1;0;szalenie praktyczny
+1063;5;0;0;pokaz "
+1063;7;0;0;ubraniem niż
+1063;8;1;1;" pokaz " , jednak szalenie praktyczny
+1063;9;0;0;pod ubraniem niż
+1063;10;1;1;na " pokaz " , jednak szalenie praktyczny
+1063;11;0;0;noszenia pod ubraniem niż
+1063;13;1;0;raczej do noszenia pod ubraniem niż na " pokaz " , jednak szalenie praktyczny
+1063;16;1;0;najseksowniejszy biustonosz , raczej do noszenia pod ubraniem niż na " pokaz " , jednak szalenie praktyczny
+1063;20;1;0;nie jest to najseksowniejszy biustonosz , raczej do noszenia pod ubraniem niż na " pokaz " , jednak szalenie praktyczny
+1063;22;0;0;Może i nie jest to najseksowniejszy biustonosz , raczej do noszenia pod ubraniem niż na " pokaz " , jednak szalenie praktyczny .
+292;5;1;1;świeży aromat który
+292;7;1;1;świeży aromat który bardzo mi się podoba
+292;9;0;0;Ma niezwykle świeży aromat który bardzo mi się podoba .
+920;2;1;1;najlepszych produktów
+920;3;0;0;rynku Polskim
+920;4;1;1;z najlepszych produktów
+920;5;0;0;na rynku Polskim
+920;6;1;1;jeden z najlepszych produktów
+920;8;1;1;jeden z najlepszych produktów Kleina na rynku Polskim
+920;10;0;0;Jest to jeden z najlepszych produktów Kleina na rynku Polskim .
+982;2;0;1;bardzo ostry
+982;4;-1;1;bardzo ostry nieciekawy zapach
+982;5;0;0;do gustu
+982;10;-1;1;mają bardzo ostry nieciekawy zapach
+982;11;-1;0;Kompletnie nie przypadły mi do gustu
+982;12;0;0;Kompletnie nie przypadły mi do gustu , mają bardzo ostry nieciekawy zapach .
+347;2;0;0;faceci stateczni
+347;4;0;0;Armaniego używali faceci stateczni .
+894;3;-1;-1;trochę duszący
+894;4;0;0;wydawać się
+894;7;0;0;Początkowo zapach może wydawać się trochę duszący .
+941;2;0;1;zdecydowanych kobiet
+941;3;0;0;Dla zdecydowanych kobiet .
+197;1;0;0;własnych możliwości
+197;3;0;0;przecenianie własnych możliwości
+197;8;0;0;przecenianie własnych możliwości i nietrzeźwość
+197;9;0;0;według policji
+197;10;0;0;Najczęstsze przyczyny tragedii
+197;11;0;0;Najczęstsze przyczyny tragedii to według policji przecenianie własnych możliwości i nietrzeźwość .
+1030;2;0;0;letnia nuta zapachowa
+1030;10;0;0;świeża i letnia nuta zapachowa
+1030;13;0;0;kojarzą mi się wakacje
+1030;14;0;0;że kiedy go używam
+1030;16;0;0;Jego świeża i letnia nuta zapachowa sprawia
+1030;17;0;0;Jego świeża i letnia nuta zapachowa sprawia , że kiedy go używam , kojarzą mi się wakacje .
+125;2;1;1;bardzo dobrego jakościowo
+125;3;1;1;bardzo dobrego jakościowo materiału
+125;6;1;1;z bardzo dobrego jakościowo materiału
+125;8;0;0;Biustonosz ten
+125;9;0;1;Biustonosz ten jest wykonany z bardzo dobrego jakościowo materiału .
+338;2;1;1;lepszych prezentów jakie
+338;3;1;1;z lepszych prezentów jakie
+338;7;1;1;Jeden z lepszych prezentów jakie
+338;8;0;0;Jeden z lepszych prezentów jakie kiedykolwiek dostał em !
+88;2;1;0;romantyczny zapach
+88;6;0;0;Zmysłowy , kwiatowy , romantyczny zapach .
+1093;2;1;0;zapach ponadczasowy
+1093;3;0;0;dla mnie
+1093;4;1;0;to dla mnie zapach ponadczasowy
+1093;5;1;0;Blue to dla mnie zapach ponadczasowy
+1093;7;1;1;Light Blue to dla mnie zapach ponadczasowy
+1093;8;0;0;& Gabbana
+1093;10;1;1;Dolce & Gabbana Light Blue to dla mnie zapach ponadczasowy
+1065;1;0;1;znanej marki
+1065;4;0;1;woda toaletowa znanej marki
+1065;6;0;0;Jest to woda toaletowa znanej marki .
+1088;1;0;0;- lekki
+1088;5;0;0;nie duszący - lekki
+1088;7;0;0;Zapach kwiatowy
+1088;8;0;0;Zapach kwiatowy , ale nie duszący - lekki .
+751;2;1;1;bardzo przyjemny
+751;3;1;1;bardzo przyjemny , długotrwały
+751;5;1;1;bardzo przyjemny , długotrwały zapach
+751;6;0;0;Ma bardzo przyjemny , długotrwały zapach .
+1123;1;1;1;zarazem seksowny
+1123;3;1;1;zarazem seksowny stanik
+1123;6;0;1;Niezwykle ładny a zarazem seksowny stanik .
+379;2;0;0;na świecie
+379;4;0;0;Najlepsza perfuma na świecie .
+351;1;0;0;do ciała
+351;5;0;0;przylega do ciała
+351;6;1;1;Dobrze trzyma biust
+351;7;0;0;Dobrze trzyma biust i przylega do ciała .
+183;1;0;0;po prostu
+183;4;-1;-1;po prostu tragiczne
+183;5;0;0;Te wycięcie
+183;6;0;0;Te wycięcie jest po prostu tragiczne .
+276;2;0;0;! !
+276;3;1;0;NIESAMOWITY ZAPACH
+276;4;0;0;MA NIESAMOWITY ZAPACH ! !
+43;3;1;0;, które lubisz
+43;8;0;0;po kieliszku
+43;9;0;0;to hiszpańskie wino , które lubisz
+43;11;0;1;coś dobrego
+43;13;0;0;do kuchni
+43;14;0;0;wypijemy po kieliszku
+43;15;0;0;kupił em to hiszpańskie wino , które lubisz
+43;16;0;1;zrobimy sobie coś dobrego
+43;17;0;0;Chodź do kuchni
+43;19;0;0;kupił em to hiszpańskie wino , które lubisz , wypijemy po kieliszku
+43;20;0;0;Chodź do kuchni , zrobimy sobie coś dobrego
+43;21;0;0;Chodź do kuchni , zrobimy sobie coś dobrego , kupił em to hiszpańskie wino , które lubisz , wypijemy po kieliszku .
+100;1;-1;-1;wysoką cenę
+100;4;-1;-1;za wysoką cenę
+100;5;0;0;na rynku
+100;7;0;0;jakich wiele na rynku za wysoką cenę .
+100;8;0;0;, jakich wiele na rynku za wysoką cenę .
+100;10;0;0;Pospolita woń , jakich wiele na rynku za wysoką cenę .
+1164;1;0;0;mojej skórze
+1164;4;0;0;na mojej skórze
+1164;5;-1;0;sa okropne ale
+1164;10;1;1;rozkwitł na mojej skórze
+1164;13;-1;0;pierwsze nuty sa okropne ale
+1164;14;0;0;na początku
+1164;15;0;0;na początku pierwsze nuty sa okropne ale poniej zapach pięknie rozkwitł na mojej skórze : )
+21;2;0;0;prowokujący flirt
+21;6;0;0;Długotrwały , powabny i prowokujący flirt .
+247;1;0;0;w sumie
+247;4;0;0;wielkimi dekoltami-po to w sumie
+247;5;0;0;z wielkimi dekoltami-po to w sumie
+247;7;0;0;bluzek z wielkimi dekoltami-po to w sumie
+247;9;0;0;jest stworzony
+247;10;0;0;do bluzek z wielkimi dekoltami-po to w sumie
+247;12;1;1;Idealnie pasuje do bluzek z wielkimi dekoltami-po to w sumie jest stworzony .
+625;1;1;1;tak dobrą
+625;2;1;1;tak dobrą firmę
+625;3;1;1;na tak dobrą firmę
+625;6;0;1;powalająca jak na tak dobrą firmę
+625;9;0;0;Cena nie jest powalająca jak na tak dobrą firmę .
+468;2;1;1;- ponoć super
+468;3;1;1;dekoldem - ponoć super
+468;4;1;1;z dekoldem - ponoć super
+468;5;1;1;sukienki z dekoldem - ponoć super
+468;7;1;0;właśnie do sukienki z dekoldem - ponoć super
+468;10;1;0;go zakupić właśnie do sukienki z dekoldem - ponoć super
+468;11;0;0;Planuje go zakupić właśnie do sukienki z dekoldem - ponoć super .
+905;2;0;0;zaniepokojone twarze
+905;5;0;0;Po chwili
+905;7;0;1;uważnie lustrował zaniepokojone twarze
+905;8;0;0;Po chwili odsłonił głowę
+905;9;0;0;Po chwili odsłonił głowę i uważnie lustrował zaniepokojone twarze .
+1082;3;0;0;mocna woń
+1082;4;0;0;Bardzo męska
+1082;5;0;0;Bardzo męska , mocna woń .
+1081;4;0;0;sztandarowych perfum CHANEL
+1081;6;1;1;No5 nowoczesnym zapachem
+1081;7;0;0;od sztandarowych perfum CHANEL
+1081;9;0;0;Różni się od sztandarowych perfum CHANEL No5 nowoczesnym zapachem .
+1075;3;0;0;kibiców i sympatyków Klubu
+1075;4;0;0;oczekiwaniami kibiców i sympatyków Klubu
+1075;5;0;0;z oczekiwaniami kibiców i sympatyków Klubu
+1075;6;0;0;zgodnego z oczekiwaniami kibiców i sympatyków Klubu
+1075;10;1;1;sportowego sukcesu , zgodnego z oczekiwaniami kibiców i sympatyków Klubu
+1075;12;0;0;Brakuje również sportowego sukcesu , zgodnego z oczekiwaniami kibiców i sympatyków Klubu .
+626;1;1;1;dobrej cenie
+626;2;1;1;w dobrej cenie
+626;5;1;1;zakupić go w dobrej cenie
+626;6;0;0;w internecie
+626;7;1;1;w internecie można zakupić go w dobrej cenie
+626;10;0;1;drogi ale w internecie można zakupić go w dobrej cenie
+626;12;0;0;Perfum jest drogi ale w internecie można zakupić go w dobrej cenie .
+1166;1;1;1;dobrych materiałów
+1166;3;1;1;z dobrych materiałów
+1166;6;0;1;Biustonosz jest zrobiony z dobrych materiałów .
+752;1;1;1;najlepszych firm
+752;2;1;1;do najlepszych firm
+752;9;1;1;, że Chanel należy do najlepszych firm
+752;10;0;0;wszystkie kobiety
+752;11;0;0;Z pewnością
+752;12;0;0;Z pewnością wszystkie kobiety wiedzą , że Chanel należy do najlepszych firm .
+429;4;1;0;trwałe perfumy które
+429;6;1;1;trwałe perfumy które nie kosztują dużo
+429;8;0;0;Są to trwałe perfumy które nie kosztują dużo .
+150;1;0;0;bardzo często
+150;5;0;0;używam bardzo często
+150;6;1;1;, który uwielbiam
+150;8;0;0;Pink to
+150;9;1;0;, który uwielbiam i używam bardzo często
+150;10;0;0;dla mnie
+150;11;0;0;of Pink to
+150;13;1;1;dla mnie zapach , który uwielbiam i używam bardzo często
+150;14;0;0;Touch of Pink to
+150;17;0;0;Woda toaletowa Lacoste Touch of Pink to dla mnie zapach , który uwielbiam i używam bardzo często .
+554;4;1;1;wspaniale prezentujący się
+554;5;0;1;bardzo oryginalny
+554;6;0;0;Woda ta
+554;8;1;1;wspaniale prezentujący się flakonik
+554;9;0;0;Woda ta ma bardzo oryginalny
+554;10;0;0;Woda ta ma bardzo oryginalny , wspaniale prezentujący się flakonik .
+293;1;0;0;do ciała
+293;5;0;0;przylega do ciała
+293;6;1;1;Dobrze trzyma biust
+293;7;0;0;Dobrze trzyma biust i przylega do ciała .
+1107;1;0;1;znany nam
+1107;2;0;0;znany nam wszystkim
+1107;4;0;0;zapach znany nam wszystkim
+1107;5;0;0;Oczywiście zapach znany nam wszystkim .
+336;2;0;0;nad i
+336;3;0;0;kropka nad i "
+336;6;0;0;" kropka nad i "
+336;7;0;0;różowy kolor płynu
+336;10;0;0;różowy kolor płynu to " kropka nad i "
+336;11;1;1;Śliczna buteleczka
+336;12;0;0;Śliczna buteleczka i różowy kolor płynu to " kropka nad i " .
+432;2;0;0;także kierowcy
+432;4;-1;0;Zdenerwowani są także kierowcy .
+209;2;0;0;pewnej siebie
+209;3;0;0;pewnej siebie i zdecydowanej
+209;5;0;1;kobiety pewnej siebie i zdecydowanej
+209;7;0;0;Raczej dla kobiety pewnej siebie i zdecydowanej .
+191;2;0;0;Hugo Bossa
+191;3;-1;0;rynku słabego
+191;4;0;0;od Hugo Bossa
+191;6;-1;0;na rynku słabego
+191;10;-1;0;brzydkiego zapachu od Hugo Bossa
+191;12;0;0;Nie ma chyba na rynku słabego
+191;13;0;0;Nie ma chyba na rynku słabego , lub brzydkiego zapachu od Hugo Bossa .
+866;3;0;0;bardzo słodki i wyrazisty
+866;7;1;1;przecudny aromat , bardzo słodki i wyrazisty
+866;8;0;0;To przecudny aromat , bardzo słodki i wyrazisty .
+78;1;0;0;samą Donatellę
+78;4;0;0;przez samą Donatellę
+78;5;1;1;najlepszych domów mody
+78;7;0;0;wylansowanie przez samą Donatellę
+78;8;1;1;z najlepszych domów mody
+78;9;0;0;właścicielkę ww
+78;10;0;0;zostały wylansowanie przez samą Donatellę
+78;12;1;1;jednego z najlepszych domów mody
+78;14;0;0;zostały wylansowanie przez samą Donatellę , właścicielkę ww
+78;15;0;0;mianowicie Versace
+78;16;1;1;z jednego z najlepszych domów mody
+78;17;0;0;w końcu
+78;20;0;0;mianowicie Versace i zostały wylansowanie przez samą Donatellę , właścicielkę ww
+78;22;1;0;Bo w końcu pochodzą z jednego z najlepszych domów mody
+78;23;0;0;Bo w końcu pochodzą z jednego z najlepszych domów mody , a mianowicie Versace i zostały wylansowanie przez samą Donatellę , właścicielkę ww .
+806;1;0;-1;dosyć wysoka
+806;8;-1;0;, iż cena jest dosyć wysoka
+806;10;-1;-1;Jednym jedynym mankamentem
+806;11;0;0;Jednym jedynym mankamentem jest to , iż cena jest dosyć wysoka .
+952;3;1;0;stylu i elegancji
+952;4;1;0;Połączenie stylu i elegancji .
+173;1;0;0;eleganckich metropolii
+173;2;1;1;luksusu eleganckich metropolii
+173;7;0;0;boję się luksusu eleganckich metropolii
+173;8;0;0;Boję się miast
+173;9;0;0;Boję się miast , boję się luksusu eleganckich metropolii .
+945;2;0;0;do stanika
+945;4;0;0;Cena adekwatna do stanika .
+983;3;0;0;w końcu
+983;4;0;0;tej wody toaletowej
+983;7;-1;0;zaszokowani ceną tej wody toaletowej w końcu
+983;9;0;0;od Chanel
+983;10;-1;0;zaszokowani ceną tej wody toaletowej w końcu pochodzi
+983;12;0;0;Nie bądźmy zaszokowani ceną tej wody toaletowej w końcu pochodzi od Chanel .
+223;1;0;1;górnej części
+223;2;0;0;w górnej części
+223;5;1;0;prześliczną koronkę w górnej części
+223;6;0;0;Ma prześliczną koronkę w górnej części .
+185;2;0;0;na mężczyzn
+185;4;1;0;Zdecydowanie działa na mężczyzn .
+606;1;0;0;kreacje wieczorowe
+606;4;0;0;pod kreacje wieczorowe
+606;5;1;0;bardzo serdecznie
+606;6;1;1;Polecam bardzo serdecznie pod kreacje wieczorowe .
+249;2;0;0;fiołka i róży
+249;8;0;0;kwiatowym akcentem fiołka i róży
+249;9;0;0;ananasa , papai i bergamotki
+249;12;0;0;z kwiatowym akcentem fiołka i róży
+249;14;0;0;Słodkie aromaty ananasa , papai i bergamotki
+249;15;0;0;Słodkie aromaty ananasa , papai i bergamotki łączą się z kwiatowym akcentem fiołka i róży .
+344;2;0;0;na to
+344;6;0;0;, który zasługuje na to ,
+344;8;0;0;go mieć
+344;9;1;0;produkt wysokogatunkowy , który zasługuje na to ,
+344;10;1;0;produkt wysokogatunkowy , który zasługuje na to , by go mieć
+344;13;1;0;dla mnie produkt wysokogatunkowy , który zasługuje na to , by go mieć
+344;15;0;1;nie odziera
+344;18;1;0;, nie odziera , jak dla mnie produkt wysokogatunkowy , który zasługuje na to , by go mieć
+344;20;0;0;Nie uwiera , nie odziera , jak dla mnie produkt wysokogatunkowy , który zasługuje na to , by go mieć .
+1078;2;1;0;prawdziwego faceta
+1078;3;0;0;Dla prawdziwego faceta !
+196;5;1;0;ten zapach to cudo
+196;6;0;0;ojjjjjj ten zapach to cudo ! !
+718;2;1;0;biust , ciekawy
+718;3;1;1;biust , ciekawy fason
+718;6;1;1;kształtuje biust , ciekawy fason
+718;7;1;1;Idealnie podtrzymuje
+718;8;0;1;Idealnie podtrzymuje i kształtuje biust , ciekawy fason .
+275;2;0;0;ten markowy produkt
+275;3;0;0;za ten markowy produkt
+275;8;0;-1;Cena za ten markowy produkt
+275;9;0;0;Cena za ten markowy produkt nie jest wcale wygórowana .
+523;3;0;0;flakonika przyciąga
+523;5;0;0;Atrakcyjny wygląda flakonika przyciąga wzrok .
+1147;1;0;0;ze skórą
+1147;6;1;0;idealnie komponuje się ze skórą
+1147;7;1;1;rewelacyjnie pachnie
+1147;8;1;1;świetnym wynalazkiem
+1147;11;1;1;rewelacyjnie pachnie , idealnie komponuje się ze skórą
+1147;12;1;0;Woda jest świetnym wynalazkiem
+1147;13;0;0;Woda jest świetnym wynalazkiem , rewelacyjnie pachnie , idealnie komponuje się ze skórą .
+359;1;0;0;w dresach
+359;2;-1;0;chłystków w dresach
+359;5;-1;0;dla chłystków w dresach
+359;6;1;0;rację-to dostojny zapach
+359;10;0;0;nie dla chłystków w dresach
+359;11;1;0;) I macie rację-to dostojny zapach
+359;13;0;0;: ) I macie rację-to dostojny zapach , nie dla chłystków w dresach .
+893;1;0;0;ciele zapach
+893;3;0;0;ubraniach i ciele zapach
+893;4;0;0;na ubraniach i ciele zapach
+893;7;0;0;długo utrzymujący się na ubraniach i ciele zapach
+893;10;1;1;ładny i długo utrzymujący się na ubraniach i ciele zapach
+893;11;0;0;Ma ładny i długo utrzymujący się na ubraniach i ciele zapach .
+190;1;0;0;w sobie
+190;5;0;0;ma w sobie
+190;8;1;0;ma w sobie coś co przykuwa uwagę
+190;11;0;0;Klasyczny stanik
+190;12;0;0;Klasyczny stanik , a jednak ma w sobie coś co przykuwa uwagę .
+16;2;0;0;fanów i antyfanów
+16;7;0;0;, który zawsze będzie miał fanów i antyfanów
+16;10;0;0;ponadczasowy klasyk , który zawsze będzie miał fanów i antyfanów
+16;11;0;0;To ponadczasowy klasyk , który zawsze będzie miał fanów i antyfanów .
+483;1;0;0;codzień jak
+483;3;0;0;na codzień jak
+483;5;0;0;na wieczór
+483;6;1;1;Idealne na codzień jak
+483;7;0;0;Idealne na codzień jak i na wieczór .
+543;1;0;0;naczyń wieńcowych
+543;4;0;0;serca i naczyń wieńcowych
+543;5;0;0;Buenos Aires
+543;6;0;0;zaburzenia serca i naczyń wieńcowych
+543;8;0;0;w Buenos Aires
+543;9;0;0;na zaburzenia serca i naczyń wieńcowych
+543;10;0;0;we krwi
+543;12;0;0;Uniwersytetu w Buenos Aires
+543;13;-1;0;odporność na zaburzenia serca i naczyń wieńcowych
+543;15;0;0;znajdujące się we krwi
+543;17;0;0;z Uniwersytetu w Buenos Aires
+543;19;1;0;, zwiększając odporność na zaburzenia serca i naczyń wieńcowych
+543;20;0;0;antyutleniacze znajdujące się we krwi
+543;24;0;0;przeprowadzone tam
+543;26;0;0;Cesar Fraga z Uniwersytetu w Buenos Aires
+543;29;0;0;, że czekolada wzmacnia antyutleniacze znajdujące się we krwi , zwiększając odporność na zaburzenia serca i naczyń wieńcowych
+543;30;0;0;przeprowadzone tam badania
+543;31;0;0;Jak poinformował Cesar Fraga z Uniwersytetu w Buenos Aires ,
+543;32;0;0;Jak poinformował Cesar Fraga z Uniwersytetu w Buenos Aires , przeprowadzone tam badania wykazały , że czekolada wzmacnia antyutleniacze znajdujące się we krwi , zwiększając odporność na zaburzenia serca i naczyń wieńcowych .
+452;1;0;0;tej linii
+452;3;0;0;wcześniejszych zapachów tej linii
+452;4;0;1;miłośników wcześniejszych zapachów tej linii
+452;6;0;0;dla miłośników wcześniejszych zapachów tej linii
+452;8;0;0;Na pewno dla miłośników wcześniejszych zapachów tej linii .
+787;2;0;0;oryginalny fason
+787;3;0;0;Ma oryginalny fason .
+23;1;0;0;na sylwetce
+23;8;1;0;niezwykle seksownie się prezentuje na sylwetce
+23;9;1;1;Dobrze podtrzymuje biust
+23;10;0;0;Dobrze podtrzymuje biust i niezwykle seksownie się prezentuje na sylwetce .
+512;1;0;0;długi czas
+512;2;0;0;przez długi czas
+512;4;1;1;będzie służył przez długi czas
+512;6;1;0;praniu i będzie służył przez długi czas
+512;8;1;0;po praniu i będzie służył przez długi czas
+512;11;0;0;Nie rozciąga się po praniu i będzie służył przez długi czas .
+279;1;0;0;XXI wieku
+279;2;0;0;ludzi XXI wieku
+279;4;0;0;dla ludzi XXI wieku
+279;6;0;0;konkurencji katolicyzmu
+279;8;0;0;atrakcyjnej oferty dla ludzi XXI wieku
+279;11;0;0;boją się konkurencji katolicyzmu
+279;14;0;0;Nie mają atrakcyjnej oferty dla ludzi XXI wieku
+279;15;0;0;Nie mają oni atrakcyjnej oferty dla ludzi XXI wieku , więc boją się konkurencji katolicyzmu .
+440;1;0;0;w Lourdes
+440;4;1;0;cudach w Lourdes
+440;5;0;0;ten temat
+440;7;0;0;cudownego uzdrowienia
+440;10;0;0;o cudach w Lourdes
+440;13;0;0;na ten temat
+440;17;0;0;kiedy ktoś dostąpił cudownego uzdrowienia ,
+440;18;0;0;Kiedy mówi się o cudach w Lourdes
+440;20;0;0;, aby wypowiedzieli się na ten temat
+440;23;0;0;Kiedy mówi się o cudach w Lourdes , kiedy ktoś dostąpił cudownego uzdrowienia ,
+440;24;0;0;Kiedy mówi się o cudach w Lourdes , kiedy ktoś dostąpił cudownego uzdrowienia , Kościół prosi lekarzy , aby wypowiedzieli się na ten temat .
+1165;1;1;1;efektowny kształt
+1165;4;1;1;prosty i efektowny kształt
+1165;6;0;0;Flakon ma prosty i efektowny kształt .
+1008;4;0;0;stosunkowo wysoka ale
+1008;6;0;0;ten zapach
+1008;9;0;0;Cena stosunkowo wysoka ale znajomy
+1008;10;0;1;Cena stosunkowo wysoka ale znajomy bardzo zachwala sobie ten zapach .
+1129;1;0;0;każdej figury
+1129;2;0;0;do każdej figury
+1129;7;0;0;jest dopasowany do każdej figury
+1129;8;1;1;Doskonale się układa
+1129;9;0;0;Doskonale się układa i jest dopasowany do każdej figury .
+1026;1;0;0;wszystkich jego
+1026;4;0;0;wszystkich jego uczestnikach
+1026;5;0;0;w urzędzie
+1026;7;0;1;niesamowite wrażenie
+1026;8;0;0;na wszystkich jego uczestnikach
+1026;9;0;0;Spotkanie w urzędzie
+1026;10;0;0;Spotkanie w urzędzie wywarło na wszystkich jego uczestnikach niesamowite wrażenie .
+1033;1;0;0;blaszane koszyczki
+1033;3;0;0;w blaszane koszyczki
+1033;4;0;0;w kwiaty
+1033;6;0;0;oprawionych w blaszane koszyczki
+1033;8;0;0;rżniętych w kwiaty
+1033;9;0;0;rżniętych w kwiaty szklanek , oprawionych w blaszane koszyczki ,
+1033;13;0;0;z rżniętych w kwiaty szklanek , oprawionych w blaszane koszyczki ,
+1033;16;0;0;wiele uroku
+1033;17;0;0;podniebnej kawowej ceremonii
+1033;18;0;0;picie z rżniętych w kwiaty szklanek , oprawionych w blaszane koszyczki ,
+1033;19;0;0;mocny i aromatyczny
+1033;22;0;0;picie z rżniętych w kwiaty szklanek , oprawionych w blaszane koszyczki , odbierało podniebnej kawowej ceremonii wiele uroku
+1033;24;0;0;Napój był mocny i aromatyczny
+1033;25;0;0;Napój był mocny i aromatyczny , ale picie z rżniętych w kwiaty szklanek , oprawionych w blaszane koszyczki , odbierało podniebnej kawowej ceremonii wiele uroku .
+725;3;0;0;owego wspaniałego dnia
+725;4;0;0;w domu
+725;8;0;0;koniec owego wspaniałego dnia
+725;10;0;0;, by odwiedził ich w domu
+725;12;0;0;Na koniec owego wspaniałego dnia
+725;13;0;0;Na koniec owego wspaniałego dnia zaprosili go , by odwiedził ich w domu .
+64;1;0;0;szerokim dekolcie
+64;2;0;0;przy szerokim dekolcie
+64;3;0;0;ich przy szerokim dekolcie
+64;6;0;0;( nie widać ich przy szerokim dekolcie
+64;11;0;0;dość szeroko rozstawione ( nie widać ich przy szerokim dekolcie
+64;12;0;0;Ramiączka są odpinane
+64;14;0;0;Ramiączka są odpinane i dość szeroko rozstawione ( nie widać ich przy szerokim dekolcie
+64;15;0;0;Ramiączka są odpinane i dość szeroko rozstawione ( nie widać ich przy szerokim dekolcie ) .
+1102;1;0;0;jakość perfum
+1102;2;1;0;ceniących jakość perfum
+1102;4;1;0;Kobiet ceniących jakość perfum
+1102;5;0;0;Dla Kobiet ceniących jakość perfum .
+1113;1;0;0;głęboko wyciętej
+1113;2;0;0;głęboko wyciętej sukienki
+1113;4;0;0;do głęboko wyciętej sukienki
+1113;5;0;0;dokładniej do głęboko wyciętej sukienki .
+1113;6;0;0;A dokładniej do głęboko wyciętej sukienki .
+45;1;0;0;2005 roku
+45;2;0;0;w 2005 roku
+45;6;0;1;wydane w 2005 roku
+45;7;0;0;marki Lacoste
+45;8;1;1;Bardzo ładne
+45;9;0;0;Bardzo ładne perfumy marki Lacoste wydane w 2005 roku .
+41;1;0;0;od 20
+41;2;0;0;mężczyzn od 20
+41;3;0;0;dla mężczyzn od 20
+41;4;0;0;prezent dla mężczyzn od 20
+41;5;0;0;na prezent dla mężczyzn od 20
+41;8;0;1;Polecam szczególnie na prezent dla mężczyzn od 20
+41;10;0;0;Polecam szczególnie na prezent dla mężczyzn od 20 i więcej
+41;11;0;0;Polecam szczególnie na prezent dla mężczyzn od 20 i więcej : )
+326;4;-1;1;zapach nie zachwyca
+326;6;1;0;Dobra marka
+326;7;0;0;Dobra marka , aczkolwiek zapach nie zachwyca .
+884;2;0;0;wydania pieniędzy
+884;3;0;0;w powietrze
+884;4;0;0;do wydania pieniędzy
+884;7;0;1;strzałami w powietrze
+884;10;-1;1;zmusił ją do wydania pieniędzy
+884;11;0;0;Później strzałami w powietrze sterroryzował kasjerkę
+884;12;0;0;Później strzałami w powietrze sterroryzował kasjerkę i zmusił ją do wydania pieniędzy .
+1170;2;-1;-1;wysoka cena
+1170;5;0;0;Plusem jest niezbyt wysoka cena .
+319;1;0;0;swych poprzedników
+319;2;0;0;wzorach swych poprzedników
+319;6;0;0;na wzorach swych poprzedników
+319;9;0;0;i najgenialniejsi ludzie
+319;11;0;0;Czyż i najgenialniejsi ludzie nie kształcili się na wzorach swych poprzedników ?
+53;1;0;0;cały dzień
+53;4;0;0;na cały dzień
+53;5;0;0;Kilka kropli
+53;6;1;0;Kilka kropli wystarcza na cały dzień .
+928;1;0;0;już 3
+928;2;0;0;już 3 raz
+928;4;0;0;tą wodę już 3 raz
+928;8;0;0;" Lacoste Essential"Mam tą wodę już 3 raz
+928;9;0;0;wody toaletowej
+928;12;0;0;kupna wody toaletowej " Lacoste Essential"Mam tą wodę już 3 raz
+928;13;1;1;bardzo zadowolony
+928;14;0;0;z niej
+928;15;0;0;do kupna wody toaletowej " Lacoste Essential"Mam tą wodę już 3 raz
+928;17;1;0;jestem z niej bardzo zadowolony
+928;18;1;0;Zachęcam do kupna wody toaletowej " Lacoste Essential"Mam tą wodę już 3 raz
+928;19;0;0;Zachęcam do kupna wody toaletowej " Lacoste Essential"Mam tą wodę już 3 raz i jestem z niej bardzo zadowolony .
+755;1;0;0;kobiety aktywnej
+755;3;0;0;dla kobiety aktywnej
+755;5;0;0;Na pewno dla kobiety aktywnej .
+1167;3;0;0;w ramiona
+1167;6;0;0;odpowiednia grubość ,
+1167;8;0;0;odpowiednia grubość , nie wrzynają się w ramiona
+1167;10;0;0;Ramiączka mają odpowiednia grubość , nie wrzynają się w ramiona .
+539;2;0;0;większe i podniesione
+539;5;0;0;na większe i podniesione
+539;6;0;0;w nim
+539;8;0;0;Piersi wyglądają w nim na większe i podniesione .
+622;3;0;0;w torebce
+622;10;0;0;przy sobie
+622;12;0;0;, która spokojnie zmieści się w torebce ,
+622;13;1;0;małej , poręcznej
+622;14;0;0;ją mieć przy sobie
+622;15;1;0;małej , poręcznej buteleczce , która spokojnie zmieści się w torebce ,
+622;17;0;0;można ją mieć przy sobie
+622;20;1;0;w małej , poręcznej buteleczce , która spokojnie zmieści się w torebce ,
+622;22;0;0;Mieści się w małej , poręcznej buteleczce , która spokojnie zmieści się w torebce , więc zawsze można ją mieć przy sobie .
+180;3;0;0;taki seksowny biustonosz
+180;4;1;1;nawet atrakcyjna
+180;6;0;-1;za taki seksowny biustonosz
+180;7;1;1;Cena nawet atrakcyjna
+180;8;0;0;Cena nawet atrakcyjna jak za taki seksowny biustonosz .
+818;2;0;0;na allegro
+818;6;-1;0;z przykrością
+818;7;0;0;ten stanik na allegro
+818;10;0;0;moich oczekiwań
+818;12;-1;0;z przykrością muszę stwierdzić
+818;13;0;0;Niedawno zakupiła m ten stanik na allegro
+818;15;-1;1;nie spełnił moich oczekiwań
+818;17;-1;0;Niedawno zakupiła m ten stanik na allegro i z przykrością muszę stwierdzić
+818;18;0;0;Niedawno zakupiła m ten stanik na allegro i z przykrością muszę stwierdzić , że nie spełnił moich oczekiwań .
+390;1;1;0;swobodnych rzeczach
+390;2;1;0;o swobodnych rzeczach
+390;4;1;0;myśleć o swobodnych rzeczach
+390;5;1;0;spokojnie usiąść
+390;7;1;0;spokojnie usiąść lub myśleć o swobodnych rzeczach
+390;9;0;0;Wtedy mogę spokojnie usiąść lub myśleć o swobodnych rzeczach .
+494;1;1;1;wygodnym strojem
+494;3;0;0;sportowym lub wygodnym strojem
+494;4;0;0;pod sportowym lub wygodnym strojem
+494;7;0;0;Twój seksapil pod sportowym lub wygodnym strojem
+494;9;0;0;Cudownie podkreśla Twój seksapil pod sportowym lub wygodnym strojem .
+499;3;0;0;do tego
+499;4;1;1;bardzo wygodny
+499;5;0;0;Produkt ten
+499;7;1;1;do tego trwały
+499;8;1;0;Produkt ten jest bardzo wygodny
+499;9;0;0;Produkt ten jest bardzo wygodny a do tego trwały .
+337;1;1;1;gustownie uszyty
+337;2;1;1;gustownie uszyty stanik
+337;5;1;1;elegancki i gustownie uszyty stanik
+337;6;0;0;Bardzo elegancki i gustownie uszyty stanik .
+402;2;0;0;dla użytkowników
+402;5;0;0;jego możliwości
+402;9;1;1;bardziej przyjaznym dla użytkowników
+402;11;0;0;Opla Frontery
+402;13;0;0;, nie zmniejszając jednocześnie jego możliwości
+402;14;0;0;uczynić go bardziej przyjaznym dla użytkowników
+402;15;0;0;Modernizacja Opla Frontery
+402;16;0;0;Modernizacja Opla Frontery miała uczynić go bardziej przyjaznym dla użytkowników , nie zmniejszając jednocześnie jego możliwości .
+913;1;0;0;tej ceny
+913;3;1;0;wart tej ceny
+913;5;0;0;Biustonosz jest wart tej ceny .
+910;1;0;0;Pawła Dorucha
+910;3;0;0;ks . Pawła Dorucha
+910;6;0;0;przez ks . Pawła Dorucha
+910;8;0;0;wspomnieniami przyjaciół
+910;9;0;0;wyrazami bólu
+910;10;0;0;prowadzonej przez ks . Pawła Dorucha
+910;12;0;0;wiązanki kwiatów
+910;13;0;0;wyrazami bólu i wspomnieniami przyjaciół
+910;14;0;0;modlitwy prowadzonej przez ks . Pawła Dorucha
+910;16;0;0;wiązanki kwiatów przykryły mogiłę
+910;18;0;0;z wyrazami bólu i wspomnieniami przyjaciół
+910;20;0;0;słowa modlitwy prowadzonej przez ks . Pawła Dorucha
+910;21;0;0;Zanim wiązanki kwiatów przykryły mogiłę ,
+910;22;0;0;Zanim wiązanki kwiatów przykryły mogiłę , słowa modlitwy prowadzonej przez ks . Pawła Dorucha splatały się z wyrazami bólu i wspomnieniami przyjaciół .
+687;2;1;0;KAŻDEGO WYRAFINOWANEGO PANA
+687;4;1;0;DLA KAŻDEGO WYRAFINOWANEGO PANA
+687;5;1;0;POLECAM DLA KAŻDEGO WYRAFINOWANEGO PANA .
+12;2;0;0;na ciele
+12;8;0;0;nie słabnie
+12;9;0;0;Zapach długo się utrzymuje się na ciele
+12;10;0;0;Zapach długo się utrzymuje się na ciele i nie słabnie .
+1027;3;1;1;bardzo wygodny
+1027;4;1;0;bardzo ładnie
+1027;5;0;0;Biustonosz Carmen
+1027;7;1;1;jest bardzo wygodny
+1027;8;1;0;Biustonosz Carmen bardzo ładnie leży
+1027;9;0;0;Biustonosz Carmen bardzo ładnie leży i jest bardzo wygodny .
+663;1;0;0;do ciała
+663;5;0;0;przylega do ciała
+663;6;1;1;Dobrze się układa
+663;7;0;0;Dobrze się układa , przylega do ciała .
+29;1;0;0;między piersiami
+29;5;0;0;zmniejsza odstępy między piersiami
+29;6;0;0;Podkreśla biust
+29;7;0;0;Podkreśla biust i zmniejsza odstępy między piersiami .
+829;2;0;0;starszej , dojrzałej
+829;3;0;0;osoby starszej , dojrzałej
+829;4;0;0;dla osoby starszej , dojrzałej
+829;8;0;0;najbardziej nadaje się dla osoby starszej , dojrzałej
+829;12;0;0;Uważam , że jak najbardziej nadaje się dla osoby starszej , dojrzałej .
+1045;3;0;0;kwiatowy zapach
+1045;4;0;0;Bardzo oryginalny
+1045;5;0;0;Bardzo oryginalny , kwiatowy zapach .
+386;1;0;0;młodych chłopców
+386;3;0;0;dla młodych chłopców
+386;4;0;0;nie dla młodych chłopców .
+386;5;0;0;Raczej nie dla młodych chłopców .
+430;2;0;0;o prace
+430;4;0;0;jakiejś firmy
+430;5;0;0;np rozmowach o prace
+430;6;0;0;szefa jakiejś firmy
+430;7;0;0;na np rozmowach o prace
+430;11;0;0;dla szefa jakiejś firmy
+430;12;0;0;Szczególnie przyda się na np rozmowach o prace
+430;13;0;0;Szczególnie przyda się na np rozmowach o prace czy dla szefa jakiejś firmy .
+505;1;0;0;ciała materiału
+505;2;0;0;dla ciała materiału
+505;4;1;1;bardzo miłego dla ciała materiału
+505;5;1;0;z bardzo miłego dla ciała materiału
+505;7;1;1;wykonany z bardzo miłego dla ciała materiału
+505;8;0;0;Jest wykonany z bardzo miłego dla ciała materiału .
+791;2;0;0;na świecie
+791;4;0;0;chyba najbardziej
+791;5;0;0;marka perfum-ów na świecie
+791;6;0;0;chyba najbardziej znana
+791;8;0;0;To chyba najbardziej znana marka perfum-ów na świecie
+603;2;1;1;bardzo ciekawa
+603;5;0;0;Kolorystyka jego jest bardzo ciekawa .
+545;3;1;0;całą pewnością
+545;4;1;1;czystym sumieniem
+545;5;0;0;ten produkt
+545;6;1;0;czystym sumieniem i całą pewnością
+545;8;1;1;polecić ten produkt
+545;9;1;0;Z czystym sumieniem i całą pewnością
+545;10;0;0;Z czystym sumieniem i całą pewnością mogę polecić ten produkt .
+106;1;0;0;pod bluzką
+106;2;0;0;widoczny pod bluzką
+106;3;0;0;mało widoczny pod bluzką
+106;6;0;0;gładki i mało widoczny pod bluzką
+106;9;0;0;Ponadto jest dosyć gładki i mało widoczny pod bluzką .
+135;3;0;0;nic szczególnego
+135;7;1;0;ładna i dziewczęca
+135;9;0;0;całe perfumy nic szczególnego
+135;10;1;0;ładna i dziewczęca - ale jak
+135;11;0;0;Buteleczka ładna i dziewczęca - ale jak całe perfumy nic szczególnego .
+672;4;0;0;z zapachów
+672;5;1;0;rozchwytywanej Eternity
+672;6;0;0;nowsza wersja klasycznej
+672;8;0;0;Jeden z zapachów
+672;10;1;0;nowsza wersja klasycznej i rozchwytywanej Eternity
+672;12;0;0;Jeden z zapachów Calvina Kleina
+672;13;0;0;Jeden z zapachów Calvina Kleina , jakby nowsza wersja klasycznej i rozchwytywanej Eternity .
+1016;1;0;0;dla mężczyzny
+1016;2;0;0;prezent dla mężczyzny
+1016;4;0;0;na prezent dla mężczyzny
+1016;6;0;1;Dobra alternatywa na prezent dla mężczyzny .
+42;2;0;0;Słodkiego Jabuszka "
+42;5;0;0;" Słodkiego Jabuszka " ,
+42;8;0;0;na ulicy
+42;11;0;0;Zapach takiego " Słodkiego Jabuszka " ,
+42;12;0;1;Zapach takiego " Słodkiego Jabuszka " , chodź bardzo spotykany na ulicy .
+868;5;0;0;moich oczekiwań
+868;6;1;1;, który nie zawiódł mnie
+868;7;1;1;, który nie zawiódł mnie i moich oczekiwań
+868;8;1;1;Triumph , który nie zawiódł mnie i moich oczekiwań
+868;10;1;0;firmy Triumph , który nie zawiódł mnie i moich oczekiwań
+868;12;0;0;Kolejny biustonosz firmy Triumph , który nie zawiódł mnie i moich oczekiwań .
+160;1;0;1;słodką elegancją
+160;3;0;0;dynamiką i słodką elegancją
+160;5;0;0;z dynamiką i słodką elegancją
+160;8;0;0;Kojarzy mi się z dynamiką i słodką elegancją .
+803;1;0;0;każdą bluzkę
+803;3;0;0;pod każdą bluzkę
+803;4;1;1;Idealny pod każdą bluzkę .
+572;6;0;0;w prezencie
+572;8;1;0;Moje pierwsze lepsze perfumy które
+572;9;0;0;Moje pierwsze lepsze perfumy które dostała m w prezencie .
+1191;3;0;0;wspaniały , rock'n'rollowy
+1191;5;0;0;wbrew pozorom
+1191;6;0;0;wspaniały , rock'n'rollowy zespół
+1191;7;0;0;To wspaniały , rock'n'rollowy zespół wbrew pozorom .
+238;2;0;0;tego zapachu
+238;3;-1;-1;dość wysoka
+238;5;1;1;warta tego zapachu
+238;6;-1;-1;Cena dość wysoka
+238;7;0;0;Cena dość wysoka ale warta tego zapachu .
+114;1;0;0;do ciała
+114;5;0;0;dopasowuje się do ciała
+114;6;1;1;Dobrze leży
+114;7;0;0;Dobrze leży i dopasowuje się do ciała .
+44;1;0;0;do ciała
+44;5;0;0;dopasowuje się do ciała
+44;6;1;1;Świetnie leży
+44;7;0;0;Świetnie leży i dopasowuje się do ciała .
+242;2;-1;-1;prawdziwa katastrofa
+242;5;0;0;Wreszcie zdarzyła się prawdziwa katastrofa .
+217;4;0;0;woda nie jest tania
+217;5;0;0;coś ”
+217;6;0;0;coś ” , woda nie jest tania
+217;11;0;0;„ to coś ” , woda nie jest tania
+217;12;0;0;dla mnie
+217;13;0;0;Mimo to
+217;14;0;0;Mimo to dla mnie ma „ to coś ” , woda nie jest tania .
+1134;2;0;0;bardzo szybko
+1134;5;-1;-1;bardzo szybko się niszczy
+1134;6;0;0;nie trzyma biustu
+1134;11;-1;0;nie trzyma biustu oraz bardzo szybko się niszczy
+1134;12;-1;0;Stanik źle układa się
+1134;13;0;0;Stanik źle układa się i nie trzyma biustu oraz bardzo szybko się niszczy .
+119;1;1;1;też fajnym
+119;2;1;1;też fajnym prezentem
+119;4;1;1;być też fajnym prezentem
+119;5;0;0;Może być też fajnym prezentem .
+215;3;0;0;6 miesięcy
+215;5;0;0;nadal jest czarny
+215;6;0;0;mam go 6 miesięcy
+215;10;0;0;mam go 6 miesięcy i nadal jest czarny
+215;11;1;0;Kolor jest trwały
+215;12;0;0;Kolor jest trwały , mam go 6 miesięcy i nadal jest czarny .
+1019;3;0;0;wspaniałym jesiennym przebarwieniu liści
+1019;5;0;0;o wspaniałym jesiennym przebarwieniu liści
+1019;7;0;0;również obficie
+1019;8;0;1;najpiękniejszych gatunków o wspaniałym jesiennym przebarwieniu liści
+1019;9;0;0;również obficie owocujący
+1019;11;0;0;z najpiękniejszych gatunków o wspaniałym jesiennym przebarwieniu liści
+1019;14;0;0;jeden z najpiękniejszych gatunków o wspaniałym jesiennym przebarwieniu liści , również obficie owocujący
+1019;15;0;0;Irga rozkrzewiona
+1019;16;0;0;Irga rozkrzewiona to jeden z najpiękniejszych gatunków o wspaniałym jesiennym przebarwieniu liści , również obficie owocujący .
+443;2;0;0;na wieczór
+443;4;0;0;do pracy
+443;5;1;1;Dobre na wieczór
+443;6;0;0;Dobre na wieczór i do pracy .
+1120;2;0;0;dla skóry
+1120;3;0;0;z których
+1120;6;1;1;przyjemne dla skóry
+1120;9;0;0;Materiały z których
+1120;11;0;0;nie drapią jej
+1120;12;1;0;Materiały z których jest wykonany są przyjemne dla skóry
+1120;13;0;0;Materiały z których jest wykonany są przyjemne dla skóry , nie drapią jej .
+1066;2;0;0;prosty , klasyczny
+1066;4;0;1;prosty , klasyczny wygląd
+1066;6;0;0;Flakon ma prosty , klasyczny wygląd .
+394;1;0;1;dobrej formie
+394;4;0;0;w dobrej formie
+394;6;0;0;Odrobina zazdrości
+394;7;0;0;Odrobina zazdrości utrzyma miłość w dobrej formie .
+1150;2;0;1;wód toaletowych
+1150;4;0;0;innych perfum
+1150;6;0;1;do wód toaletowych
+1150;7;0;0;bardzo długo
+1150;8;0;0;, czy innych perfum
+1150;9;0;1;przeciwieństwie do wód toaletowych
+1150;10;0;0;na bardzo długo
+1150;12;0;0;w przeciwieństwie do wód toaletowych , czy innych perfum
+1150;13;0;0;flakonik starcza na bardzo długo
+1150;15;0;0;flakonik starcza na bardzo długo , w przeciwieństwie do wód toaletowych , czy innych perfum
+1150;18;0;0;tych perfum
+1150;20;0;0;, ponieważ flakonik starcza na bardzo długo , w przeciwieństwie do wód toaletowych , czy innych perfum
+1150;21;1;1;dobra inwestycja
+1150;22;0;0;Kupno tych perfum
+1150;23;0;0;Kupno tych perfum to dobra inwestycja , ponieważ flakonik starcza na bardzo długo , w przeciwieństwie do wód toaletowych , czy innych perfum .
+746;1;0;0;przeciętnej kobiety
+746;2;0;0;dla przeciętnej kobiety
+746;5;0;1;sam raz dla przeciętnej kobiety
+746;6;0;0;W sam raz dla przeciętnej kobiety .
+426;2;0;0;drogiej firmy Triumph
+426;4;0;0;z drogiej firmy Triumph
+426;6;1;1;bardzo śliczny
+426;7;0;0;Stanik z drogiej firmy Triumph
+426;8;0;0;Stanik z drogiej firmy Triumph jest bardzo śliczny .
+1141;1;0;0;po prostu
+1141;4;1;1;, które po prostu uwielbiam
+1141;6;1;1;perfumy , które po prostu uwielbiam
+1141;8;0;0;Są to perfumy , które po prostu uwielbiam !
+1176;1;0;0;tym sezonie
+1176;2;0;0;w tym sezonie
+1176;6;1;1;bardzo modny w tym sezonie
+1176;7;0;0;purpurowego różu
+1176;8;0;0;Kolor purpurowego różu bardzo modny w tym sezonie .
+260;1;1;1;dobrych materiałów
+260;3;1;1;z dobrych materiałów
+260;6;0;0;Biustonosz jest zrobiony z dobrych materiałów .
+600;2;0;0;niektórych użytkowników
+600;3;0;0;bardzo przeciętny
+600;4;0;0;ekscytacji niektórych użytkowników
+600;5;0;1;bardzo przeciętny zapach
+600;7;0;0;nierozumiem ekscytacji niektórych użytkowników
+600;8;0;-1;To bardzo przeciętny zapach
+600;9;0;0;To bardzo przeciętny zapach , nierozumiem ekscytacji niektórych użytkowników .
+883;2;0;0;słonecznej plaży
+883;3;0;0;kolorach złota
+883;4;0;0;kolorach złota i słonecznej plaży
+883;6;0;0;w kolorach złota i słonecznej plaży
+883;7;0;0;Stanik w kolorach złota i słonecznej plaży .
+708;1;0;0;starszych panów
+708;3;0;0;raczej do starszych panów
+708;8;0;0;, że woda pasuje raczej do starszych panów
+708;11;0;0;Wydaje mi się , że woda pasuje raczej do starszych panów .
+381;1;0;0;dziewczyny np
+381;2;0;0;dla dziewczyny np
+381;3;0;0;prezent dla dziewczyny np
+381;5;0;0;na prezent dla dziewczyny np
+381;6;1;1;Idealny na prezent dla dziewczyny np .
+388;2;0;0;obok perfum
+388;5;-1;0;przejść obok perfum obojętnie
+388;9;0;0;wyrazista nuta zapachu
+388;11;1;0;, iż nie można przejść obok perfum obojętnie
+388;12;0;0;wyrazista nuta zapachu powodują
+388;16;0;0;Słodkawa , romantyczna i wyrazista nuta zapachu powodują , iż nie można przejść obok perfum obojętnie .
+861;2;0;0;transem zakochania
+861;4;0;0;transem zakochania i fascynacją
+861;7;0;0;Miłość nie jest transem zakochania i fascynacją .
+320;4;0;0;profesjonalny sprzęt pożarniczy
+320;5;0;0;wszechstronny , nowoczesny
+320;8;0;0;w profesjonalny sprzęt pożarniczy
+320;10;0;0;Ten wszechstronny , nowoczesny obiekt
+320;11;0;0;Ten wszechstronny , nowoczesny obiekt jest wyposażony w profesjonalny sprzęt pożarniczy .
+364;2;0;0;5 lat
+364;3;0;0;tych perfumach
+364;5;0;0;od 5 lat
+364;8;0;0;O tych perfumach
+364;9;1;1;O tych perfumach marzę już chyba od 5 lat .
+73;2;1;1;śliczne opakowanie
+73;4;1;1;śliczne opakowanie i flakon
+73;6;0;0;bardzo męski
+73;7;1;0;Ma śliczne opakowanie i flakon
+73;8;0;0;Ma śliczne opakowanie i flakon , bardzo męski .
+547;1;1;1;wielki sukces
+547;6;0;0;, żeby odnieść wielki sukces
+547;8;0;0;Każdy twórca
+547;10;0;0;- Każdy twórca marzy chyba , żeby odnieść wielki sukces .
+518;3;1;1;tak dużą
+518;4;1;1;przystępnej cenie
+518;5;1;0;tak dużą pojemność butelki
+518;6;1;1;w przystępnej cenie
+518;8;1;0;na tak dużą pojemność butelki
+518;9;1;1;w przystępnej cenie jak
+518;10;0;0;Woda w przystępnej cenie jak na tak dużą pojemność butelki .
+1031;4;0;0;mój mężczyzna
+1031;9;0;0;Jak mój mężczyzna się nimi psikał to
+1031;10;1;0;Jak mój mężczyzna się nimi psikał to naprawdę pięknie pachniał .
+931;3;1;1;lekkie oraz wygodne
+931;5;0;0;Nakładki są lekkie oraz wygodne .
+998;1;0;0;od Versace
+998;3;0;0;każde perfumy od Versace
+998;7;1;1;wydajne tak jak każde perfumy od Versace
+998;10;0;0;Bardzo długo
+998;12;1;0;podobno są wydajne tak jak każde perfumy od Versace
+998;13;0;0;Bardzo długo utrzymuje się
+998;14;0;0;Bardzo długo utrzymuje się , podobno są wydajne tak jak każde perfumy od Versace .
+598;2;1;1;śliczny , mały
+598;3;1;1;śliczny , mały wazonik
+598;5;1;1;w śliczny , mały wazonik
+598;8;0;0;woda jest zapakowana w śliczny , mały wazonik .
+234;2;0;0;drobnej mistyfikacji
+234;3;0;0;uroczystej chwili
+234;5;0;0;ofiarami drobnej mistyfikacji
+234;6;0;0;obserwatorzy uroczystej chwili
+234;8;0;0;Tu obserwatorzy uroczystej chwili padli ofiarami drobnej mistyfikacji .
+581;1;0;1;je podnosi
+581;4;0;0;piersi i je podnosi
+581;7;0;0;Bardzo fajnie zbiera piersi i je podnosi .
+836;2;0;0;firmy Triumph
+836;4;0;0;jego zakupie
+836;5;0;0;innej bieliźnie firmy Triumph
+836;7;0;0;na jego zakupie
+836;12;0;0;na innej bieliźnie firmy Triumph
+836;13;1;0;Nie zawiodła m się na jego zakupie podobnie
+836;14;0;0;Nie zawiodła m się na jego zakupie podobnie jak na innej bieliźnie firmy Triumph .
+27;1;0;0;spotkania biznesowe
+27;3;0;0;wieczory i spotkania biznesowe
+27;5;0;0;na wieczory i spotkania biznesowe
+27;6;1;1;Idealny na wieczory i spotkania biznesowe .
+1104;2;1;1;świeżym , przyciągającym
+1104;3;1;1;świeżym , przyciągającym zapachu
+1104;5;1;1;o świeżym , przyciągającym zapachu
+1104;6;0;1;Perfumy o świeżym , przyciągającym zapachu .
+857;2;0;0;tak zwanych
+857;3;-1;0;tak zwanych nieudanych prezentów
+857;4;-1;0;z tak zwanych nieudanych prezentów
+857;6;-1;0;jeden z tak zwanych nieudanych prezentów
+857;7;0;-1;moim przypadku
+857;9;-1;0;to jeden z tak zwanych nieudanych prezentów
+857;10;0;0;W moim przypadku
+857;11;0;0;W moim przypadku był to jeden z tak zwanych nieudanych prezentów .
+542;4;0;0;większe i pełniejsze
+542;5;0;0;w nim
+542;8;0;0;Piersi stają się w nim większe i pełniejsze .
+476;4;0;0;chyba każdemu
+476;7;0;0;chyba każdemu , kto choć raz
+476;8;0;0;pojemnika znany
+476;10;0;0;w perfumerii
+476;12;0;0;raczej design pojemnika znany chyba każdemu , kto choć raz
+476;15;0;0;może raczej design pojemnika znany chyba każdemu , kto choć raz pojawił się w perfumerii
+476;18;0;0;Zapach , a może raczej design pojemnika znany chyba każdemu , kto choć raz pojawił się w perfumerii .
+103;2;0;0;na wieczór
+103;6;1;1;Perfum idealny na wieczór ,
+103;7;0;0;Perfum idealny na wieczór , długo pachnie .
+641;1;0;0;w użyciu
+641;2;1;1;wygodna w użyciu
+641;4;1;1;, wygodna w użyciu
+641;6;0;0;Butelka stylowa , wygodna w użyciu .
+527;2;1;1;pomysłowy kształt
+527;4;0;0;Ma bardzo pomysłowy kształt .
+80;3;1;1;Flakonik uroczy ,
+80;4;0;0;Flakonik uroczy , przykuwa wzrok
+368;2;0;0;z ukochanym
+368;4;0;0;codziennego użytku
+368;5;0;0;wieczorne wyjścia z ukochanym
+368;7;0;0;do codziennego użytku
+368;10;0;0;również na wieczorne wyjścia z ukochanym
+368;11;0;0;Nadaje się do codziennego użytku
+368;12;0;0;Nadaje się do codziennego użytku jak również na wieczorne wyjścia z ukochanym .
+1172;1;0;0;w noszeniu
+1172;4;1;1;wygodny w noszeniu
+1172;6;1;0;nie podrażnia skóry
+1172;7;1;1;Jest wygodny w noszeniu
+1172;8;0;0;Jest wygodny w noszeniu i nie podrażnia skóry .
+366;2;0;0;tę okazję
+366;3;0;0;specjalny tort
+366;4;0;0;na tę okazję
+366;7;0;0;, którzy na tę okazję upiekli specjalny tort
+366;11;0;0;sąsiedzi , którzy na tę okazję upiekli specjalny tort
+366;12;0;0;państwa Paleniów
+366;14;0;0;Z radością
+366;15;0;0;Z radością witali również państwa Paleniów sąsiedzi , którzy na tę okazję upiekli specjalny tort .
+638;1;1;1;świat luksusu
+638;3;1;0;w świat luksusu
+638;6;0;0;Bardzo długo
+638;8;1;1;przenosi mnie w świat luksusu
+638;9;0;0;Bardzo długo się utrzymuje
+638;10;0;0;Bardzo długo się utrzymuje i przenosi mnie w świat luksusu .
+674;2;0;0;dla siebie
+674;3;0;1;smacznym obiedzie
+674;5;0;-1;chwilę dla siebie
+674;8;0;0;Po smacznym obiedzie
+674;9;0;0;Po smacznym obiedzie miał em jeszcze chwilę dla siebie .
+702;4;1;-1;nie za drogi
+702;5;1;1;dobry produkt
+702;6;0;0;wodę toaletową
+702;7;1;1;dobry produkt i nie za drogi
+702;9;0;0;Bottled wodę toaletową
+702;11;1;0;jest to dobry produkt i nie za drogi
+702;12;0;0;6 Bottled wodę toaletową
+702;13;0;0;6 Bottled wodę toaletową ponieważ jest to dobry produkt i nie za drogi .
+246;2;0;0;długie , romantyczne
+246;3;0;0;długie , romantyczne wieczory
+246;5;0;0;na długie , romantyczne wieczory
+246;8;0;0;Idealnie nadaje się na długie , romantyczne wieczory .
+515;4;0;0;pewna stara kobieta
+515;6;0;1;Niesamowitą historię
+515;7;0;0;Niesamowitą historię opowiadała mi pewna stara kobieta .
+341;2;0;0;na wieczór
+341;3;1;1;Świetny na wieczór .
+648;1;0;0;większym biuście
+648;2;0;0;o większym biuście
+648;10;0;0;Pań o większym biuście
+648;11;1;1;biust wygląda przepięknie
+648;12;0;0;się go nosi
+648;15;0;0;naprawdę nie czuje się
+648;16;0;0;dla Pań o większym biuście
+648;18;1;0;naprawdę nie czuje się , że się go nosi a biust wygląda przepięknie
+648;20;1;0;Idealny dla Pań o większym biuście
+648;21;0;0;Idealny dla Pań o większym biuście , bo naprawdę nie czuje się , że się go nosi a biust wygląda przepięknie .
+562;3;0;0;, jaki dokonała m
+562;5;1;0;najlepszych zakupów , jaki dokonała m
+562;6;1;1;z najlepszych zakupów , jaki dokonała m
+562;7;1;1;jeden z najlepszych zakupów , jaki dokonała m
+562;9;1;1;to jeden z najlepszych zakupów , jaki dokonała m
+562;11;0;0;Te perfumy to jeden z najlepszych zakupów , jaki dokonała m .
+60;3;0;-1;kobiet chcących
+60;5;1;0;poczuć się wyjątkowo
+60;6;0;0;dla kobiet chcących
+60;7;1;1;Polecam dla kobiet chcących poczuć się wyjątkowo .
+312;1;0;0;między nimi
+312;6;0;0;, seksowne wiązanie między nimi
+312;7;1;1;pięknie zdobione
+312;9;0;0;część biustonosza
+312;11;1;0;pięknie zdobione miseczki , seksowne wiązanie między nimi
+312;12;0;0;Na uwagę
+312;14;0;0;także pozostała część biustonosza
+312;16;1;0;Na uwagę zasługują pięknie zdobione miseczki , seksowne wiązanie między nimi
+312;17;0;0;Na uwagę zasługują pięknie zdobione miseczki , seksowne wiązanie między nimi , ale także pozostała część biustonosza .
+707;3;0;0;ze skórą
+707;7;0;0;O wiele
+707;8;0;1;O wiele lepiej komponuje się wtedy ze skórą .
+291;1;0;0;spory dekolt
+291;2;0;0;mam spory dekolt
+291;5;0;0;zakładać gdy mam spory dekolt
+291;7;0;0;Ten należy zakładać gdy mam spory dekolt .
+424;1;0;0;bujnym biuście
+424;2;0;0;o bujnym biuście
+424;3;0;0;Pań o bujnym biuście
+424;5;0;0;dla Pań o bujnym biuście
+424;7;1;1;Bardzo fajny dla Pań o bujnym biuście .
+947;1;0;0;push upem
+947;3;0;0;aplikacjami oraz push upem
+947;4;1;0;zniewalającymi aplikacjami oraz push upem
+947;8;1;0;ze zniewalającymi aplikacjami oraz push upem
+947;9;1;1;śliczny różowy kolor
+947;10;0;0;Ma śliczny różowy kolor ze zniewalającymi aplikacjami oraz push upem .
+1064;4;0;0;Dobroczynne działanie wina
+1064;5;0;0;Dobroczynne działanie wina potwierdzają plantatorzy .
+714;4;0;0;powiększa piersi
+714;5;1;1;Dobrze podtrzymuje biust
+714;6;0;0;Dobrze podtrzymuje biust i powiększa piersi .
+298;2;0;0;entuzjastyczne oklaski
+298;4;0;0;Witały ich entuzjastyczne oklaski .
+427;2;0;0;rejon działania
+427;6;0;0;Bandyci zmienili więc prawdopodobnie rejon działania .
+739;1;0;0;takim kroju
+739;6;0;0;" w takim kroju
+739;7;0;0;Mały biust "
+739;8;-1;0;Mały biust " zginie " w takim kroju .
+896;4;0;0;nawet mama
+896;9;0;0;, że nawet mama nigdy nie gotowała lepiej
+896;10;0;0;zgodnym chórem
+896;12;0;0;Dzieci zgodnym chórem twierdzą , że nawet mama nigdy nie gotowała lepiej .
+300;5;0;0;. .
+300;6;0;1;świetnym patologiem
+300;8;0;0;mu się nie znudzi
+300;9;0;0;. . .
+300;10;0;1;być świetnym patologiem
+300;11;0;0;Jeżeli mu się nie znudzi ,
+300;13;0;0;- Jeżeli mu się nie znudzi , może być świetnym patologiem . . .
+591;1;0;1;podczas prania
+591;7;1;-1;żadnych problemów podczas prania
+591;8;0;0;, który nie sprawia ,
+591;10;1;1;miękkiego materiału , który nie sprawia , żadnych problemów podczas prania
+591;13;1;1;z miękkiego materiału , który nie sprawia , żadnych problemów podczas prania
+591;15;0;0;Prezentowany produkt
+591;16;0;0;Prezentowany produkt jest wykonany z miękkiego materiału , który nie sprawia , żadnych problemów podczas prania .
+262;3;1;0;pewnej swojego sexapilu kobiety
+262;5;1;0;prawdziwej , pewnej swojego sexapilu kobiety
+262;7;1;0;dla prawdziwej , pewnej swojego sexapilu kobiety
+262;8;0;0;zdecydowanie dla prawdziwej , pewnej swojego sexapilu kobiety .
+903;3;0;0;bardzo kanciaty
+903;7;0;0;bardzo -
+903;11;0;1;tylko opakowanie
+903;13;-1;0;takie nie za bardzo - korek nie wygodny i bardzo kanciaty
+903;14;0;0;to tylko opakowanie
+903;15;0;0;dla mnie
+903;17;-1;0;dla mnie to tylko opakowanie jest takie nie za bardzo - korek nie wygodny i bardzo kanciaty
+903;18;0;0;Jak dla mnie to tylko opakowanie jest takie nie za bardzo - korek nie wygodny i bardzo kanciaty .
+583;2;0;0;silnej osobowości
+583;3;0;0;silnej osobowości i temperamencie
+583;4;0;0;o silnej osobowości i temperamencie
+583;5;0;0;zdecydowanej o silnej osobowości i temperamencie
+583;7;0;0;kobiety zdecydowanej o silnej osobowości i temperamencie
+583;8;0;0;Dla kobiety zdecydowanej o silnej osobowości i temperamencie .
+384;2;0;0;pewnej siebie
+384;3;0;1;pewnej siebie i szalonej
+384;4;0;1;kobiety pewnej siebie i szalonej
+384;7;0;0;raczej dla kobiety pewnej siebie i szalonej
+384;8;0;0;Przeznaczone raczej dla kobiety pewnej siebie i szalonej .
+971;4;0;0;Biustonosz jest naprawdę przepiękny !
+1199;1;0;0;pierwszych żeglarzy
+1199;2;1;0;odwagi pierwszych żeglarzy
+1199;3;0;0;dla odwagi pierwszych żeglarzy
+1199;4;0;0;podziwu dla odwagi pierwszych żeglarzy
+1199;5;0;0;uczucia podziwu dla odwagi pierwszych żeglarzy
+1199;8;0;0;nie żywić uczucia podziwu dla odwagi pierwszych żeglarzy
+1199;10;0;0;Nie sposób nie żywić uczucia podziwu dla odwagi pierwszych żeglarzy .
+802;1;0;0;tej wody
+802;2;0;0;temat tej wody
+802;4;0;0;na temat tej wody
+802;5;1;1;tak pozytywnymi
+802;7;1;0;tak pozytywnymi opiniami na temat tej wody
+802;10;0;-1;troszkę zaskoczona jestem tak pozytywnymi opiniami na temat tej wody .
+240;2;0;0;słonecznej plaży
+240;3;0;0;kolorach złota
+240;4;0;0;kolorach złota i słonecznej plaży
+240;6;0;0;w kolorach złota i słonecznej plaży
+240;7;0;0;Stanik w kolorach złota i słonecznej plaży .
+950;3;0;1;czterdziestolecie Orędzia
+950;4;0;0;polskich i niemieckich
+950;5;0;0;na czterdziestolecie Orędzia
+950;6;0;0;biskupów polskich i niemieckich
+950;8;0;0;wspólnego oświadczenia biskupów polskich i niemieckich na czterdziestolecie Orędzia
+950;10;0;0;ostatecznego brzmienia wspólnego oświadczenia biskupów polskich i niemieckich na czterdziestolecie Orędzia
+950;13;0;0;z ostatecznego brzmienia wspólnego oświadczenia biskupów polskich i niemieckich na czterdziestolecie Orędzia
+950;15;0;0;Ksiądz Arcybiskup
+950;17;0;0;Czy jest Ksiądz Arcybiskup zadowolony z ostatecznego brzmienia wspólnego oświadczenia biskupów polskich i niemieckich na czterdziestolecie Orędzia ?
+1015;2;0;0;do Chojnic
+1015;3;0;0;z Piły
+1015;5;0;0;trasie kolejowej z Piły do Chojnic
+1015;8;0;0;na trasie kolejowej z Piły do Chojnic
+1015;10;0;-1;Tragiczny wypadek
+1015;11;0;0;Tragiczny wypadek zdarzył się na trasie kolejowej z Piły do Chojnic .
+970;2;0;0;sprawach sprzętu
+970;3;0;0;związkami sportowymi
+970;4;0;0;w sprawach sprzętu
+970;5;0;0;ze związkami sportowymi
+970;7;0;0;konfliktach narciarzy ze związkami sportowymi w sprawach sprzętu
+970;9;0;0;o konfliktach narciarzy ze związkami sportowymi w sprawach sprzętu
+970;13;0;0;- Często słyszy się o konfliktach narciarzy ze związkami sportowymi w sprawach sprzętu .
+508;2;0;0;prosty flakon
+508;4;0;0;Przepiękny , prosty flakon .
+660;2;0;0;bardzo orginalnie
+660;4;1;1;ciekawy biustonosz
+660;6;0;0;prezentuje się bardzo orginalnie
+660;7;1;1;To ciekawy biustonosz
+660;8;0;0;To ciekawy biustonosz , prezentuje się bardzo orginalnie .
+949;4;-1;-1;cena odstrasza
+949;5;-1;-1;flakonik nie zachwyca
+949;6;0;0;flakonik nie zachwyca a cena odstrasza .
+396;1;0;0;dla kobiet
+396;2;0;0;perfumowana dla kobiet
+396;5;0;0;świeża woda perfumowana dla kobiet
+396;6;0;0;Orientalno świeża woda perfumowana dla kobiet .
+1046;2;0;1;pracowitych ludzi
+1046;4;0;0;do pracy
+1046;6;0;0;rodziną pracowitych ludzi
+1046;7;0;0;moja rodzina
+1046;8;0;0;zamiłowanie do pracy
+1046;10;0;0;Z domu
+1046;12;0;0;moja rodzina była rodziną pracowitych ludzi
+1046;13;0;0;Z domu wyniosła m zamiłowanie do pracy
+1046;14;0;0;Z domu wyniosła m zamiłowanie do pracy , moja rodzina była rodziną pracowitych ludzi .
+575;4;0;0;pomimo skromności
+575;5;1;0;uniwersalny design
+575;8;1;1;pomimo skromności elegancko się prezentuje
+575;9;1;0;Biustonosz ma uniwersalny design
+575;10;0;0;Biustonosz ma uniwersalny design i pomimo skromności elegancko się prezentuje .
+97;3;0;0;te piękne stworzenia
+97;4;0;0;do rączki
+97;5;0;0;wziąć do rączki te piękne stworzenia
+97;9;0;0;, aby mogły wziąć do rączki te piękne stworzenia
+97;11;0;0;które same
+97;13;0;0;, które same proszą rodziców , aby mogły wziąć do rączki te piękne stworzenia
+97;14;0;0;dzieci , które same proszą rodziców , aby mogły wziąć do rączki te piękne stworzenia
+97;15;0;0;dla dzieci , które same proszą rodziców , aby mogły wziąć do rączki te piękne stworzenia
+97;18;1;1;szczególnie atrakcyjne dla dzieci , które same proszą rodziców , aby mogły wziąć do rączki te piękne stworzenia
+97;20;0;0;Jest to szczególnie atrakcyjne dla dzieci , które same proszą rodziców , aby mogły wziąć do rączki te piękne stworzenia .
+1195;2;0;1;ciekawy efekt dekoracyjny
+1195;9;0;0;, dając jednocześnie ciekawy efekt dekoracyjny
+1195;10;0;0;potrawę pełnowartościową
+1195;11;0;0;razem z rzodkiewką
+1195;13;0;0;Stanowią one razem z rzodkiewką potrawę pełnowartościową , dając jednocześnie ciekawy efekt dekoracyjny .
+417;3;-1;-1;okropny design flakonu
+417;5;0;0;Poza tym okropny design flakonu .
+14;2;1;1;znakomitym dizajnie
+14;3;1;1;znakomitym dizajnie i stylu
+14;4;1;1;o znakomitym dizajnie i stylu
+14;5;1;1;, o znakomitym dizajnie i stylu
+14;9;1;1;coś seksownego , o znakomitym dizajnie i stylu
+14;10;0;0;polska firemka
+14;12;0;0;Tymczasem polska firemka robi coś seksownego , o znakomitym dizajnie i stylu .
+111;1;0;0;innym zapachem
+111;3;0;0;z innym zapachem
+111;6;-1;-1;Trudno go pomylić z innym zapachem .
+438;3;0;0;pudrowego różu
+438;4;0;0;odcienie wiśni
+438;6;1;1;ładne kolory
+438;8;1;0;ładne kolory - odcienie wiśni i pudrowego różu
+438;10;0;0;Ma bardzo ładne kolory - odcienie wiśni i pudrowego różu .
+442;1;0;0;d& g
+442;2;0;0;od d& g
+442;3;1;1;najlepsze od d& g
+442;4;1;1;, najlepsze od d& g
+442;6;1;1;ulubionych perfum , najlepsze od d& g
+442;7;1;1;z ulubionych perfum , najlepsze od d& g
+442;8;1;1;jedne z ulubionych perfum , najlepsze od d& g
+442;10;1;1;moje jedne z ulubionych perfum , najlepsze od d& g
+442;12;0;0;Są to moje jedne z ulubionych perfum , najlepsze od d& g .
+159;6;0;1;pachnie jak mydło
+159;7;1;1;świetne ceny
+159;9;-1;0;gigantyczna cena
+159;11;0;0;Wielka Marka
+159;12;0;0;Wielka Marka , gigantyczna cena , świetne ceny a pachnie jak mydło .
+1077;1;0;0;wieczorne wyjścia
+1077;2;0;0;na wieczorne wyjścia
+1077;3;0;0;stosowania na wieczorne wyjścia
+1077;5;0;0;do stosowania na wieczorne wyjścia
+1077;7;0;0;Produkt idealny do stosowania na wieczorne wyjścia .
+902;2;0;0;cały dzień noszenia
+902;3;0;0;przez cały dzień noszenia
+902;7;1;0;nie przeszkadza przez cały dzień noszenia
+902;8;1;0;Nie uwiera
+902;9;0;0;Nie uwiera ani nie przeszkadza przez cały dzień noszenia .
+661;3;0;0;ze względu
+661;4;0;1;intensywne korzenne nuty
+661;5;0;0;pana ze względu
+661;8;0;0;na intensywne korzenne nuty
+661;9;0;0;dla pana ze względu
+661;11;0;0;dla mnie
+661;12;0;0;dla mnie chyba bardziej dla pana ze względu na intensywne korzenne nuty .
+661;13;0;0;Jak dla mnie chyba bardziej dla pana ze względu na intensywne korzenne nuty .
+282;2;1;1;pomysłowy flakonik
+282;3;0;0;do tego
+282;7;1;0;do tego mają pomysłowy flakonik
+282;8;1;0;Długo się utrzymują
+282;9;0;0;Długo się utrzymują a do tego mają pomysłowy flakonik .
+486;1;0;0;na co
+486;2;1;1;odpowiedni na co
+486;7;1;0;odpowiedni na co dzień
+486;11;0;0;Zupełnie nie narzucający się
+486;12;0;0;Zupełnie nie narzucający się , bardzo dyskretny i odpowiedni na co dzień .
+1049;3;0;0;kierowców tirów
+1049;4;0;0;Piękne dziewczyny
+1049;5;0;0;Piękne dziewczyny zelektryzowały kierowców tirów .
+978;1;0;0;codziennego użytku
+978;3;0;0;do codziennego użytku
+978;6;0;0;wieczorną randkę
+978;8;1;1;Perfumy dobre zarówno do codziennego użytku
+978;10;0;0;na wieczorną randkę
+978;11;1;1;Perfumy dobre zarówno do codziennego użytku , jak
+978;12;0;0;Perfumy dobre zarówno do codziennego użytku , jak i na wieczorną randkę .
+699;2;0;0;na świecie
+699;4;0;0;Najlepsza perfuma na świecie .
+454;1;0;0;do pracy
+454;4;0;0;, czy do pracy
+454;5;1;0;uroczy wieczór
+454;7;0;0;na uroczy wieczór , czy do pracy
+454;8;0;0;czy na uroczy wieczór , czy do pracy .
+139;3;1;1;śliczny kolorek
+139;4;0;0;kobiecy biust
+139;5;1;1;śliczny kolorek pięknie kształduje
+139;8;0;0;eksponuje kobiecy biust
+139;9;1;0;Biustonosz ma śliczny kolorek pięknie kształduje
+139;10;0;0;Biustonosz ma śliczny kolorek pięknie kształduje oraz eksponuje kobiecy biust .
+1196;2;0;0;innymi miastami zachodniopomorskiego
+1196;5;0;0;z innymi miastami zachodniopomorskiego
+1196;6;0;0;porządku i bezpieczeństwa
+1196;7;0;0;porównaniu z innymi miastami zachodniopomorskiego
+1196;9;0;0;oazą porządku i bezpieczeństwa
+1196;11;0;0;W porównaniu z innymi miastami zachodniopomorskiego
+1196;12;0;0;W porównaniu z innymi miastami zachodniopomorskiego Szczecinek jest oazą porządku i bezpieczeństwa .
+963;2;0;0;własny , indywidualny
+963;4;1;1;kochających własny , indywidualny
+963;5;1;1;kochających własny , indywidualny styl życia
+963;8;1;1;kobiet stylowych , kochających własny , indywidualny styl życia
+963;10;1;1;dla kobiet stylowych , kochających własny , indywidualny styl życia
+963;13;0;0;Woda perfumowana przeznaczona dla kobiet stylowych , kochających własny , indywidualny styl życia .
+1162;2;0;0;chyba najbardziej
+1162;3;0;0;na świecie
+1162;4;0;0;chyba najbardziej znany
+1162;6;0;0;chyba najbardziej znany perfum na świecie
+1162;8;0;0;5 to chyba najbardziej znany perfum na świecie .
+768;2;0;0;wymuszania pieniędzy
+768;3;0;0;wymuszania pieniędzy i rabunku
+768;5;0;0;zarzutem wymuszania pieniędzy i rabunku
+768;6;0;0;młodych Polaków
+768;9;0;0;pod zarzutem wymuszania pieniędzy i rabunku
+768;10;0;0;czterech młodych Polaków
+768;11;0;0;Neapolitańska policja
+768;12;0;0;Neapolitańska policja zatrzymała czterech młodych Polaków pod zarzutem wymuszania pieniędzy i rabunku .
+281;1;0;0;dla mnie
+281;4;0;1;dla mnie biustonosz
+281;6;0;0;Jak dla mnie biustonosz jest wygodny .
+81;1;0;0;stylu Chanel
+81;2;0;0;w stylu Chanel
+81;5;0;0;wszystko w stylu Chanel
+81;8;0;0;Zapach klasyczny
+81;9;0;0;Zapach klasyczny , stary jak wszystko w stylu Chanel .
+116;1;0;0;częściej podrabianych
+116;2;0;0;częściej podrabianych zapachów
+116;4;0;0;z częściej podrabianych zapachów
+116;5;0;0;Jeden z częściej podrabianych zapachów .
+1152;1;1;1;najbardziej popularnych
+1152;2;1;1;najbardziej popularnych perfum
+1152;5;1;0;z najbardziej popularnych perfum
+1152;6;0;0;, lacoste )
+1152;9;1;0;jedne z najbardziej popularnych perfum
+1152;11;1;0;jedne z najbardziej popularnych perfum ( hugo boss , lacoste )
+1152;13;0;0;Są to jedne z najbardziej popularnych perfum ( hugo boss , lacoste ) .
+479;1;0;0;na rynku
+479;4;1;1;lepszych marek perfum na rynku
+479;5;1;1;z lepszych marek perfum na rynku
+479;6;1;1;jedna z lepszych marek perfum na rynku
+479;7;1;1;Davidoff jedna z lepszych marek perfum na rynku
+479;10;1;1;, że Davidoff jedna z lepszych marek perfum na rynku
+479;12;0;0;Doszedł em , że Davidoff jedna z lepszych marek perfum na rynku .
+83;2;0;0;do gustu
+83;5;0;0;gładkich biustonoszach
+83;7;1;0;ten przypadł mi do gustu
+83;8;0;0;raczej w gładkich biustonoszach
+83;11;1;0;gustuję raczej w gładkich biustonoszach ten przypadł mi do gustu
+83;12;0;0;Mimo ,
+83;13;0;0;Mimo , że gustuję raczej w gładkich biustonoszach ten przypadł mi do gustu .
+360;2;0;0;prezent bliskiej osobie
+360;6;0;0;dać jako prezent bliskiej osobie
+360;7;0;0;Gucci Rush
+360;8;0;1;Gucci Rush można dać jako prezent bliskiej osobie .
+383;3;1;1;Ciekawe hafty
+383;4;0;0;Ciekawe hafty i kolory .
+585;2;0;1;Krajową Izbę Gospodarczą
+585;5;0;1;poprzez Krajową Izbę Gospodarczą
+585;6;0;0;Jego wiarygodność
+585;7;0;0;Jego wiarygodność sprawdzono poprzez Krajową Izbę Gospodarczą .
+645;1;0;0;mocną świeżość
+645;4;0;1;można mocną świeżość
+645;5;0;0;Poza tym
+645;6;0;0;Poza tym wyczuć można mocną świeżość .
+747;1;0;0;koalicję SLD­PSL
+747;4;0;0;przez koalicję SLD­PSL
+747;5;0;0;krajowych , drapieżnych
+747;7;0;0;przyjętej przez koalicję SLD­PSL
+747;8;0;0;świeżych krajowych , drapieżnych kapitalistów
+747;10;0;0;przyjętej przez koalicję SLD­PSL ustawy
+747;12;0;0;globalistów i świeżych krajowych , drapieżnych kapitalistów
+747;13;-1;0;błędy przyjętej przez koalicję SLD­PSL ustawy
+747;15;0;0;na bruk
+747;16;0;0;na globalistów i świeżych krajowych , drapieżnych kapitalistów
+747;17;0;0;, naprawiając błędy przyjętej przez koalicję SLD­PSL ustawy
+747;18;0;0;eksmitowanych na bruk
+747;20;0;0;grzmiał na globalistów i świeżych krajowych , drapieżnych kapitalistów
+747;21;0;0;Bronił eksmitowanych na bruk , naprawiając błędy przyjętej przez koalicję SLD­PSL ustawy
+747;22;0;0;Bronił eksmitowanych na bruk , naprawiając błędy przyjętej przez koalicję SLD­PSL ustawy , grzmiał na globalistów i świeżych krajowych , drapieżnych kapitalistów .
+677;1;0;0;w tłumie
+677;3;1;0;wyróżniający się w tłumie
+677;5;1;1;zapach wyróżniający się w tłumie
+677;7;0;0;z pewnością zapach wyróżniający się w tłumie .
+754;4;0;-1;już go nie kupie
+754;5;1;0;warty zakupu
+754;7;0;0;produkt warty zakupu już go nie kupie
+754;8;0;0;nie jest
+754;10;-1;0;to nie jest produkt warty zakupu już go nie kupie
+754;12;0;0;o tym
+754;13;-1;0;myślę że to nie jest produkt warty zakupu już go nie kupie
+754;14;0;0;pisać o tym
+754;15;-1;0;pisać o tym bo myślę że to nie jest produkt warty zakupu już go nie kupie
+754;16;-1;0;więcej pisać o tym bo myślę że to nie jest produkt warty zakupu już go nie kupie
+754;18;-1;0;co więcej pisać o tym bo myślę że to nie jest produkt warty zakupu już go nie kupie
+754;20;0;0;Nie ma co więcej pisać o tym bo myślę że to nie jest produkt warty zakupu już go nie kupie !
+1122;3;1;1;bardzo atrakcyjny
+1122;5;0;0;Jego wygląd
+1122;6;0;1;Jego wygląd również jest bardzo atrakcyjny .
+175;1;0;0;towarzystwa ubezpieczeniowego
+175;2;0;0;z towarzystwa ubezpieczeniowego
+175;4;0;0;otrzymania odszkodowania z towarzystwa ubezpieczeniowego
+175;5;0;0;możliwość otrzymania odszkodowania z towarzystwa ubezpieczeniowego
+175;6;0;0;istniała możliwość otrzymania odszkodowania z towarzystwa ubezpieczeniowego
+175;11;0;0;, mimo że istniała możliwość otrzymania odszkodowania z towarzystwa ubezpieczeniowego
+175;13;0;0;Całej imprezie
+175;14;0;-1;Całej imprezie groziła katastrofa , mimo że istniała możliwość otrzymania odszkodowania z towarzystwa ubezpieczeniowego .
+311;5;1;0;flakon już robią wrażenie
+311;6;1;0;Ładne opakowanie
+311;7;0;0;Ładne opakowanie i flakon już robią wrażenie .
+996;2;0;0;klasycznych perfum
+996;5;0;0;nowym wcieleniem klasycznych perfum Coco
+996;9;0;0;Coco Mademoiselle nie jest nowym wcieleniem klasycznych perfum Coco .
+123;5;0;0;moich oczekiwań
+123;6;1;1;, który nie zawiódł mnie
+123;7;1;-1;, który nie zawiódł mnie i moich oczekiwań
+123;8;1;1;Triumph , który nie zawiódł mnie i moich oczekiwań
+123;10;1;1;firmy Triumph , który nie zawiódł mnie i moich oczekiwań
+123;12;0;0;Kolejny biustonosz firmy Triumph , który nie zawiódł mnie i moich oczekiwań .
+285;2;1;0;energicznych mężczyzn
+285;3;0;0;Dla energicznych mężczyzn .
+304;2;0;0;odpadów nuklearnych
+304;3;0;1;przynoszący zysk
+304;4;0;0;przynoszący zysk import odpadów nuklearnych
+304;5;0;0;na przynoszący zysk import odpadów nuklearnych
+304;8;0;0;, która pozwoli na przynoszący zysk import odpadów nuklearnych
+304;9;0;0;ustawy , która pozwoli na przynoszący zysk import odpadów nuklearnych
+304;11;0;0;projektowi ustawy , która pozwoli na przynoszący zysk import odpadów nuklearnych
+304;13;0;0;Sprzeciwili się projektowi ustawy , która pozwoli na przynoszący zysk import odpadów nuklearnych .
+845;2;0;0;dla mężczyzny
+845;4;0;0;Przepiękne perfumy dla mężczyzny .
+729;1;0;0;w pubie
+729;3;0;0;muzyce Jazzowej w pubie
+729;4;0;0;przy muzyce Jazzowej w pubie
+729;5;0;1;spotkania przy muzyce Jazzowej w pubie
+729;7;0;0;na spotkania przy muzyce Jazzowej w pubie
+729;8;1;1;Polecam na spotkania przy muzyce Jazzowej w pubie .
+607;2;0;0;zimową aurę
+607;3;0;0;wieczorne wyjście
+607;4;0;0;wieczorne wyjście lub zimową aurę
+607;6;0;0;na wieczorne wyjście lub zimową aurę
+607;7;1;1;Idealny na wieczorne wyjście lub zimową aurę .
+891;1;0;0;z sephory
+891;2;0;0;tymi z sephory
+891;4;0;0;z tymi z sephory
+891;5;0;0;na ciele
+891;7;0;0;porównaniu z tymi z sephory
+891;8;0;0;swój zapach na ciele
+891;11;0;0;w porównaniu z tymi z sephory
+891;12;0;0;w porównaniu z tymi z sephory te utrzymują krótko swój zapach na ciele
+891;15;0;0;, aczkolwiek w porównaniu z tymi z sephory te utrzymują krótko swój zapach na ciele
+891;17;0;0;perfumki oryginalne , aczkolwiek w porównaniu z tymi z sephory te utrzymują krótko swój zapach na ciele .
+1103;2;0;0;starszych kobiet
+1103;3;0;0;młodych jak
+1103;4;0;0;młodych jak i starszych kobiet
+1103;5;0;0;dla młodych jak i starszych kobiet
+1103;7;0;0;zarówno dla młodych jak i starszych kobiet
+1103;10;0;0;Perfumy nadają się zarówno dla młodych jak i starszych kobiet .
+814;1;1;1;niesamowite perfumy
+814;4;1;1;- niesamowite perfumy
+814;7;0;0;każdej kobiecie
+814;9;1;1;Jednym słowem - niesamowite perfumy ,
+814;10;0;0;Jednym słowem - niesamowite perfumy , spodobają się każdej kobiecie .
+62;2;0;0;na lotnisku
+62;3;1;1;bardzo korzystnej
+62;4;1;1;bardzo korzystnej cenie na lotnisku
+62;7;1;1;w bardzo korzystnej cenie na lotnisku
+62;10;0;0;Zakupiła m je w bardzo korzystnej cenie na lotnisku : )
+1175;1;0;0;pomiędzy miseczkami
+1175;3;1;1;ładną kokardkę pomiędzy miseczkami
+1175;5;1;1;za ładną kokardkę pomiędzy miseczkami
+1175;6;0;1;Plus za ładną kokardkę pomiędzy miseczkami .
+418;4;1;0;te przebijają wszystko
+418;6;0;0;różnych znanych marek
+418;9;1;0;perfum , różnych znanych marek , ale te przebijają wszystko
+418;11;1;0;wielu perfum , różnych znanych marek , ale te przebijają wszystko
+418;14;0;0;Używała m już wielu perfum , różnych znanych marek , ale te przebijają wszystko .
+1067;1;0;0;każdej kobiety
+1067;3;0;0;dla każdej kobiety
+1067;5;0;0;Idealny prezent dla każdej kobiety .
+127;3;0;1;Ciekawy design butelki .
+385;1;0;0;do figury
+385;6;0;0;dopasowuje się do figury
+385;7;1;1;Bardzo dobrze leży
+385;8;0;0;Bardzo dobrze leży i dopasowuje się do figury .
+77;5;0;0;jego cena
+77;6;1;0;godnym polecenia produktem
+77;9;1;-1;jego cena nie jest wygórowana
+77;11;1;0;jest on godnym polecenia produktem
+77;15;0;0;Uważam , że jest on godnym polecenia produktem , a jego cena nie jest wygórowana .
+683;2;0;0;w niedzielę
+683;3;0;0;Gilada Shalita
+683;6;-1;0;porwanego w niedzielę
+683;7;0;0;porwanego w niedzielę swego kolegę , Gilada Shalita
+683;9;0;0;odnaleźć porwanego w niedzielę swego kolegę , Gilada Shalita
+683;12;0;0;po domu
+683;15;0;0;, starając się odnaleźć porwanego w niedzielę swego kolegę , Gilada Shalita
+683;16;0;0;dom po domu
+683;18;0;0;Po bombardowaniach
+683;19;0;0;Po bombardowaniach wojsko przeczesuje dom po domu , starając się odnaleźć porwanego w niedzielę swego kolegę , Gilada Shalita .
+55;1;0;0;po prostu
+55;4;1;1;po prostu śliczny
+55;5;0;0;Ten biustonosz
+55;6;0;0;Ten biustonosz jest po prostu śliczny !
+306;4;0;0;Butelka prosta
+306;5;0;0;Butelka prosta , ale ładna .
+236;1;0;0;każdego dnia
+236;2;0;0;noszenia każdego dnia
+236;4;0;0;do noszenia każdego dnia
+236;5;1;1;Doskonały do noszenia każdego dnia .
+82;1;0;0;co dzień
+82;3;0;0;na co dzień
+82;6;0;1;Świetnie nadaje się na co dzień .
+76;3;-1;0;na wycieczkę
+76;4;0;0;z Ligoty
+76;6;0;0;zorganizowania festynu
+76;7;1;0;pojechać na wycieczkę
+76;9;0;-1;dzieci z Ligoty
+76;10;0;0;dzięki którym
+76;11;0;0;do zorganizowania festynu
+76;15;0;1;dzięki którym dzieci z Ligoty będą mogły pojechać na wycieczkę
+76;16;0;0;, którzy przyczynili się do zorganizowania festynu
+76;18;0;0;, którzy przyczynili się do zorganizowania festynu i dzięki którym dzieci z Ligoty będą mogły pojechać na wycieczkę
+76;21;0;0;Stanisław Kuźnik
+76;24;0;0;wszystkim sponsorom , którzy przyczynili się do zorganizowania festynu i dzięki którym dzieci z Ligoty będą mogły pojechać na wycieczkę
+76;25;0;0;serdeczne podziękowanie
+76;26;0;0;Sołtys Ligoty Stanisław Kuźnik
+76;27;0;0;Sołtys Ligoty Stanisław Kuźnik składa serdeczne podziękowanie wszystkim sponsorom , którzy przyczynili się do zorganizowania festynu i dzięki którym dzieci z Ligoty będą mogły pojechać na wycieczkę .
+855;1;-1;0;dość nijaki
+855;7;-1;0;wydaje się dość nijaki
+855;8;0;0;Zapach nie przyciąga uwagi
+855;9;0;0;Zapach nie przyciąga uwagi , wydaje się dość nijaki .
+212;2;0;0;spokojnego snu
+212;3;-1;0;gestapowskiej policji
+212;6;0;0;do spokojnego snu
+212;7;0;0;oddziały gestapowskiej policji
+212;8;0;0;dla nich
+212;9;0;0;w końcu
+212;12;0;1;prawo do spokojnego snu
+212;14;0;1;, którą w końcu wygrały dla nich oddziały gestapowskiej policji
+212;15;0;0;o prawo do spokojnego snu
+212;16;0;0;rozwydrzoną młodzieżą
+212;17;-1;0;wojnę o prawo do spokojnego snu , którą w końcu wygrały dla nich oddziały gestapowskiej policji
+212;19;0;0;z rozwydrzoną młodzieżą
+212;23;0;0;wojnę z rozwydrzoną młodzieżą , wojnę o prawo do spokojnego snu , którą w końcu wygrały dla nich oddziały gestapowskiej policji
+212;24;0;0;do dzisiaj
+212;25;0;0;Ich mieszkańcy
+212;26;0;0;Ich mieszkańcy do dzisiaj pamiętają wojnę z rozwydrzoną młodzieżą , wojnę o prawo do spokojnego snu , którą w końcu wygrały dla nich oddziały gestapowskiej policji .
+422;1;0;0;przestępczością gospodarczą
+422;3;0;0;z przestępczością gospodarczą
+422;4;0;0;w Olsztynie
+422;6;-1;0;walki z przestępczością gospodarczą
+422;8;0;0;Komendy Wojewódzkiej w Olsztynie
+422;9;0;0;do walki z przestępczością gospodarczą
+422;10;0;0;pracy chronionej
+422;11;0;0;wydziału do walki z przestępczością gospodarczą Komendy Wojewódzkiej w Olsztynie
+422;12;0;0;zakładach pracy chronionej
+422;13;0;0;z wydziału do walki z przestępczością gospodarczą Komendy Wojewódzkiej w Olsztynie
+422;14;0;0;w zakładach pracy chronionej
+422;17;0;-1;policjanci z wydziału do walki z przestępczością gospodarczą Komendy Wojewódzkiej w Olsztynie
+422;18;0;0;Kolejną aferę w zakładach pracy chronionej
+422;19;0;0;Kolejną aferę w zakładach pracy chronionej ujawnili policjanci z wydziału do walki z przestępczością gospodarczą Komendy Wojewódzkiej w Olsztynie .
+254;2;1;1;ładny wygląd
+254;4;0;1;Buteleczka ma ładny wygląd .
+906;2;0;0;dla faceta
+906;4;0;0;Idealny prezent dla faceta .
+679;2;0;1;pewnej siebie kobiety
+679;4;0;1;dojrzałej oraz pewnej siebie kobiety
+679;7;0;1;dla dojrzałej oraz pewnej siebie kobiety
+679;8;0;1;Perfum dla dojrzałej oraz pewnej siebie kobiety ! !
+790;2;0;0;na kobiety
+790;3;1;0;Działa na kobiety !
+137;2;1;0;energiczny zapach
+137;3;0;0;Świerzy energiczny zapach .
+737;2;0;0;energicznym ruchu
+737;5;0;0;rzeczywiście sam
+737;7;0;0;dużym i energicznym ruchu
+737;9;0;0;z czego
+737;11;0;0;Samonośny stanik rzeczywiście sam
+737;14;0;0;przy dużym i energicznym ruchu
+737;16;1;1;bardzo zadowolona
+737;17;0;0;Samonośny stanik rzeczywiście sam się trzyma z czego
+737;19;-1;0;co jest niekomfortowe
+737;21;1;1;Samonośny stanik rzeczywiście sam się trzyma z czego jestem bardzo zadowolona jednak przy dużym i energicznym ruchu
+737;22;0;0;Samonośny stanik rzeczywiście sam się trzyma z czego jestem bardzo zadowolona jednak przy dużym i energicznym ruchu odczepia się co jest niekomfortowe .
+324;1;0;0;ognistym kolorze
+324;3;0;0;w ognistym kolorze
+324;4;0;0;Buteleczka w ognistym kolorze .
+892;3;1;1;rewelacyjny zapach
+892;5;0;1;zawiera wyciągi m
+892;7;1;1;Ma rewelacyjny zapach
+892;8;0;0;Ma rewelacyjny zapach , gdyż zawiera wyciągi m .
+1159;1;0;1;bardzo wysoką
+1159;2;-1;-1;bardzo wysoką cenę
+1159;3;-1;0;na bardzo wysoką cenę
+1159;11;-1;0;, ze względu na bardzo wysoką cenę
+1159;12;0;0;tej wody
+1159;13;0;0;by m
+1159;17;-1;0;nie promocja ,
+1159;19;0;0;Gdyby nie promocja , pewnie nigdy nie kupił by m tej wody , ze względu na bardzo wysoką cenę .
+609;2;0;0;M .
+609;4;0;1;ciekawym przypadkiem
+609;5;0;0;Kazio M .
+609;6;0;1;Kazio M . jest ciekawym przypadkiem .
+1044;2;0;0;od kobiet
+1044;3;1;0;pozytywne opinie
+1044;4;1;0;słyszę pozytywne opinie od kobiet
+1044;9;1;0;PUA , wiec często słyszę pozytywne opinie od kobiet
+1044;11;0;0;Zajmuje się PUA , wiec często słyszę pozytywne opinie od kobiet .
+1090;2;0;0;na wieczór
+1090;4;0;0;na codzień
+1090;5;1;1;Odpowiedni na wieczór
+1090;6;0;0;Odpowiedni na wieczór i na codzień .
+11;1;0;0;na rynku
+11;2;0;-1;lider na rynku
+11;3;0;0;jako lider na rynku
+11;4;0;0;postrzeganym jako lider na rynku
+11;5;0;0;bycia postrzeganym jako lider na rynku
+11;8;0;0;ambicję bycia postrzeganym jako lider na rynku
+11;10;0;0;Firma ta
+11;11;0;0;Firma ta ciągle ma ambicję bycia postrzeganym jako lider na rynku .
+132;2;1;0;lekką dozą świeżości
+132;4;1;0;z lekką dozą świeżości
+132;6;0;0;Klasyczna nuta z lekką dozą świeżości .
+257;3;1;0;intensywną pociągającą wonią
+257;5;0;0;swoim wyglądem
+257;7;1;0;swoim wyglądem jak i intensywną pociągającą wonią
+257;8;0;1;Kusi swoim wyglądem jak i intensywną pociągającą wonią .
+220;4;0;0;podtrzymuje piersi
+220;5;1;1;Bardzo dobrze modeluje
+220;6;0;0;Bardzo dobrze modeluje i podtrzymuje piersi .
+309;1;0;0;ku górze
+309;2;-1;0;nadmierni ku górze
+309;9;-1;0;, że biustonosz unosi się nadmierni ku górze
+309;11;0;0;Przez to
+309;12;0;0;Przez to zdarza się , że biustonosz unosi się nadmierni ku górze .
+991;2;1;0;zmysłowość i tajemniczość
+991;7;1;0;, idealnie podkreśla zmysłowość i tajemniczość
+991;8;0;0;na wieczór
+991;12;0;0;Nadaje się on świetnie na wieczór , idealnie podkreśla zmysłowość i tajemniczość .
+973;2;0;0;tego typu marek
+973;3;0;0;zapachów tego typu marek
+973;4;0;0;do zapachów tego typu marek
+973;6;0;1;porównując do zapachów tego typu marek
+973;8;0;1;Cena przystępna porównując do zapachów tego typu marek .
+614;4;1;1;Najlepszy zapach Versace
+614;5;0;0;Najlepszy zapach Versace jak dotąd .
+1087;1;0;0;młodych osób
+1087;3;0;0;dla młodych osób
+1087;5;0;0;Nadaje się dla młodych osób .
+318;1;0;0;swoim rodziaju
+318;2;0;0;w swoim rodziaju
+318;3;1;0;jedyny w swoim rodziaju
+318;4;1;0;, jedyny w swoim rodziaju
+318;6;1;1;zapach niepowtarzalny , jedyny w swoim rodziaju
+318;7;1;1;to zapach niepowtarzalny , jedyny w swoim rodziaju
+318;9;1;1;, to zapach niepowtarzalny , jedyny w swoim rodziaju
+318;11;0;0;J'adore Diora , to zapach niepowtarzalny , jedyny w swoim rodziaju .
+778;1;1;0;niepospolitym zapachu
+778;3;1;0;o niepospolitym zapachu
+778;4;0;0;Perfumy o niepospolitym zapachu .
+693;1;0;0;którą widać
+693;4;0;0;pod którą widać
+693;5;0;0;w koszulce
+693;6;1;1;główną atrakcję
+693;8;0;0;dyskotekę w koszulce pod którą widać
+693;9;1;0;stanik jako główną atrakcję
+693;10;0;0;na dyskotekę w koszulce pod którą widać
+693;11;1;0;iść na dyskotekę w koszulce pod którą widać stanik jako główną atrakcję
+693;15;1;0;, można iść na dyskotekę w koszulce pod którą widać stanik jako główną atrakcję
+693;16;0;0;na lato
+693;17;1;1;Idealny na lato , można iść na dyskotekę w koszulce pod którą widać stanik jako główną atrakcję .
+1076;1;0;0;na lato
+1076;4;1;1;rewelacyjny na lato
+1076;7;0;0;bardzo specyficzny
+1076;8;0;0;bardzo specyficzny , odświeżający , rewelacyjny na lato .
+117;1;0;0;spędzenie weekendu
+117;2;0;0;na spędzenie weekendu
+117;5;0;1;znakomite miejsce na spędzenie weekendu
+117;7;0;0;- To znakomite miejsce na spędzenie weekendu .
+1061;2;0;0;słodki - owocowy
+1061;4;0;0;słodki - owocowy zapach
+1061;6;0;0;Perfumy mają słodki - owocowy zapach .
+710;1;0;0;osobami aktywnymi
+710;3;0;0;z osobami aktywnymi
+710;7;0;0;Kojarzy mi się raczej z osobami aktywnymi .
+713;1;0;0;do noszenia
+713;3;1;1;przyjemny do noszenia
+713;6;0;-1;nie uwiera
+713;7;1;1;Biustonosz jest przyjemny do noszenia
+713;8;0;0;Biustonosz jest przyjemny do noszenia i nie uwiera .
+1085;1;0;0;dojrzałych mężczyzn
+1085;3;0;0;dla dojrzałych mężczyzn
+1085;4;0;0;Perfumy dla dojrzałych mężczyzn .
+219;2;1;1;wart polecenia
+219;3;0;0;ten produkt
+219;7;1;1;, że ten produkt jest wart polecenia
+219;9;0;0;Naprawdę uważam , że ten produkt jest wart polecenia .
+934;1;-1;0;pewni NIE
+934;2;-1;0;na pewni NIE
+934;5;-1;0;wytrawnych kobiet na pewni NIE
+934;6;0;0;Dla wytrawnych kobiet na pewni NIE .
+916;1;0;1;najbardziej świeża
+916;3;0;0;pierwsza , najbardziej świeża
+916;5;0;0;pierwsza , najbardziej świeża nuta
+916;6;0;0;kwiat dzwonka
+916;9;0;0;kwiat dzwonka to pierwsza , najbardziej świeża nuta
+916;12;0;0;Cytrusowe aromaty
+916;13;0;0;Cytrusowe aromaty , jabłko , kwiat dzwonka to pierwsza , najbardziej świeża nuta .
+781;2;1;1;ulubionego koloru
+781;3;0;0;tego produktu
+781;4;0;1;wyboru ulubionego koloru
+781;5;0;0;rozmiarów tego produktu
+781;8;0;1;opcja wyboru ulubionego koloru
+781;11;0;0;także pełna gama rozmiarów tego produktu
+781;13;0;1;Możliwa jest opcja wyboru ulubionego koloru
+781;14;0;0;Możliwa jest opcja wyboru ulubionego koloru , a także pełna gama rozmiarów tego produktu .
+757;1;1;1;okazyjnej cenie
+757;3;1;1;w okazyjnej cenie
+757;4;0;0;tych perfum
+757;5;1;1;zakup tych perfum w okazyjnej cenie
+757;7;1;1;na zakup tych perfum w okazyjnej cenie
+757;8;1;0;liczne promocje
+757;10;1;1;liczne promocje pozwalają na zakup tych perfum w okazyjnej cenie
+757;13;0;0;nie jest
+757;15;0;0;nie jest zbyt atrakcyjna ale liczne promocje pozwalają na zakup tych perfum w okazyjnej cenie
+757;17;0;0;Cena może nie jest zbyt atrakcyjna ale liczne promocje pozwalają na zakup tych perfum w okazyjnej cenie .
+349;1;1;0;pierwszej jakości
+349;3;1;0;produkt pierwszej jakości
+349;5;0;0;Jest to produkt pierwszej jakości !
+355;1;0;0;zakupy Panowie
+355;3;0;0;na zakupy Panowie
+355;6;0;0;Cena przyzwoita więc na zakupy Panowie .
+898;2;0;0;półautorytarnej republiki prezydenckiej
+898;3;0;0;ramy półautorytarnej republiki prezydenckiej
+898;6;0;0;w ramy półautorytarnej republiki prezydenckiej
+898;9;0;0;Młoda demokracja
+898;10;0;0;Młoda demokracja została siłą wtłoczona w ramy półautorytarnej republiki prezydenckiej .
+561;2;0;0;znaków drogowych
+561;7;-1;-1;niszczenie samochodów
+561;8;0;0;wyrywanie znaków drogowych
+561;10;0;0;okupowanie budynków
+561;12;-1;0;bicie policjantów
+561;14;0;0;innych ludzi
+561;15;0;0;minimalnym stopniu
+561;17;0;0;bicie policjantów , okupowanie budynków , wyrywanie znaków drogowych czy niszczenie samochodów
+561;18;1;0;polską normą
+561;21;0;0;życie innych ludzi
+561;22;0;0;w minimalnym stopniu
+561;24;0;0;w spokoju
+561;29;0;0;żeby nie było polską normą bicie policjantów , okupowanie budynków , wyrywanie znaków drogowych czy niszczenie samochodów
+561;30;-1;0;żeby w minimalnym stopniu zakłócały życie innych ludzi
+561;32;0;0;, żeby demonstracje odbywały się w spokoju
+561;33;0;0;, żeby demonstracje odbywały się w spokoju , żeby w minimalnym stopniu zakłócały życie innych ludzi i żeby nie było polską normą bicie policjantów , okupowanie budynków , wyrywanie znaków drogowych czy niszczenie samochodów
+561;34;0;0;to , żeby demonstracje odbywały się w spokoju , żeby w minimalnym stopniu zakłócały życie innych ludzi i żeby nie było polską normą bicie policjantów , okupowanie budynków , wyrywanie znaków drogowych czy niszczenie samochodów
+561;36;0;0;o to , żeby demonstracje odbywały się w spokoju , żeby w minimalnym stopniu zakłócały życie innych ludzi i żeby nie było polską normą bicie policjantów , okupowanie budynków , wyrywanie znaków drogowych czy niszczenie samochodów
+561;37;0;0;Chodzi o to , żeby demonstracje odbywały się w spokoju , żeby w minimalnym stopniu zakłócały życie innych ludzi i żeby nie było polską normą bicie policjantów , okupowanie budynków , wyrywanie znaków drogowych czy niszczenie samochodów .
+940;2;0;1;szczęśliwi posiadacze wanien
+940;4;0;1;niż szczęśliwi posiadacze wanien
+940;6;0;0;wszelkiej ostrożności
+940;8;0;0;bardziej skąpo niż szczęśliwi posiadacze wanien
+940;11;0;0;zachowaniem wszelkiej ostrożności
+940;12;0;-1;fatalnych brodzików
+940;14;0;0;, używając wody bardziej skąpo niż szczęśliwi posiadacze wanien
+940;15;0;0;z zachowaniem wszelkiej ostrożności
+940;17;0;1;Posiadacze fatalnych brodzików
+940;18;0;0;Posiadacze fatalnych brodzików kąpią się z zachowaniem wszelkiej ostrożności , używając wody bardziej skąpo niż szczęśliwi posiadacze wanien .
+695;1;0;0;swej wiarygodności
+695;6;0;-1;, by nie stracić swej wiarygodności
+695;7;0;0;reżymowym nakazom
+695;13;0;0;, który oparł się reżymowym nakazom , by nie stracić swej wiarygodności
+695;14;0;1;mądry , ciekawy
+695;16;0;0;pisarz mądry , ciekawy , który oparł się reżymowym nakazom , by nie stracić swej wiarygodności
+695;19;0;0;Był to bowiem pisarz mądry , ciekawy , który oparł się reżymowym nakazom , by nie stracić swej wiarygodności .
+464;2;1;1;ulubionego koloru
+464;3;0;0;tego produktu
+464;4;1;1;wyboru ulubionego koloru
+464;5;0;0;rozmiarów tego produktu
+464;8;1;1;opcja wyboru ulubionego koloru
+464;11;0;0;także pełna gama rozmiarów tego produktu
+464;13;1;1;Możliwa jest opcja wyboru ulubionego koloru
+464;14;0;0;Możliwa jest opcja wyboru ulubionego koloru , a także pełna gama rozmiarów tego produktu .
+354;2;0;0;silnej osobowości
+354;3;0;0;silnej osobowości i temperamencie
+354;4;0;0;o silnej osobowości i temperamencie
+354;5;0;0;zdecydowanej o silnej osobowości i temperamencie
+354;7;0;0;kobiety zdecydowanej o silnej osobowości i temperamencie
+354;8;0;0;Dla kobiety zdecydowanej o silnej osobowości i temperamencie .
+63;1;0;0;bardzo zdecydowany
+63;4;0;0;raczej zapach bardzo zdecydowany
+63;8;0;0;Chanel Coco Mademoisella to raczej zapach bardzo zdecydowany .
+1157;2;0;0;dla mężczyzn
+1157;4;1;1;bardzo fajna
+1157;7;1;1;bardzo fajna woda toaletowa dla mężczyzn
+1157;8;0;0;Lacoste Red
+1157;9;0;0;Lacoste Red to bardzo fajna woda toaletowa dla mężczyzn .
+692;2;0;0;starszych , dojrzałych
+692;3;0;0;starszych , dojrzałych kobiet
+692;4;0;0;dla starszych , dojrzałych kobiet
+692;5;0;0;stworzony dla starszych , dojrzałych kobiet
+692;9;0;1;został stworzony dla starszych , dojrzałych kobiet
+692;10;0;0;Wydaje mi się
+692;11;0;0;Wydaje mi się że został stworzony dla starszych , dojrzałych kobiet .
+520;4;0;0;na skórze
+520;6;0;0;bardzo długo
+520;9;0;0;nie ściera się
+520;10;0;0;Zapach bardzo długo utrzymuje się na skórze
+520;11;0;0;Zapach bardzo długo utrzymuje się na skórze i nie ściera się .
+742;1;1;1;ciepły zapach
+742;5;1;1;zmysłowy i ciepły zapach
+742;7;0;0;Ta woda
+742;8;0;0;Ta woda perfumowana ma zmysłowy i ciepły zapach .
+860;2;0;0;świetnego slalomistę
+860;3;0;0;z Norwegii
+860;6;0;0;na świetnego slalomistę
+860;8;0;0;Jarle Halsnes z Norwegii
+860;9;0;0;Jarle Halsnes z Norwegii niepostrzeżenie wyrósł na świetnego slalomistę .
+665;4;0;0;ekipie gości
+665;5;0;-1;końcowym gwizdku arbitra
+665;7;1;-1;zrozumiała euforia
+665;8;0;0;w ekipie gości
+665;9;0;0;Po końcowym gwizdku arbitra
+665;10;0;-1;Po końcowym gwizdku arbitra w ekipie gości zapanowała zrozumiała euforia .
+1083;2;0;0;do garnituru
+1083;5;0;0;do dresu
+1083;6;1;0;Pasuje i do garnituru
+1083;7;0;0;Pasuje i do garnituru i do dresu .
+84;1;0;0;młodych duchem
+84;3;0;0;kobiet młodych duchem
+84;4;0;0;Dla kobiet młodych duchem .
+569;2;0;0;w nim
+569;6;0;1;Piersi świetnie się w nim układają .
+838;2;0;0;silnej aktywności sejsmicznej
+838;3;0;0;strefie silnej aktywności sejsmicznej
+838;5;0;0;w strefie silnej aktywności sejsmicznej
+838;6;0;0;region Molise
+838;9;0;0;, że region Molise leży w strefie silnej aktywności sejsmicznej
+838;12;0;0;wszyscy wiedzą , że region Molise leży w strefie silnej aktywności sejsmicznej
+838;16;0;0;włoskich ekspertów
+838;18;0;0;, ponieważ wszyscy wiedzą , że region Molise leży w strefie silnej aktywności sejsmicznej
+838;19;0;-1;słabe tłumaczenie
+838;21;0;0;Zdaniem włoskich ekspertów ,
+838;22;0;0;Zdaniem włoskich ekspertów , jest to słabe tłumaczenie , ponieważ wszyscy wiedzą , że region Molise leży w strefie silnej aktywności sejsmicznej .
+510;3;0;0;w skórę
+510;7;-1;0;materiał jest gryzący
+510;9;0;0;Fiszbiny wbijają się w skórę
+510;10;0;0;Fiszbiny wbijają się w skórę , a materiał jest gryzący .
+986;2;1;1;śliczne koronki
+986;3;1;1;śliczne koronki i kokardkę
+986;6;1;1;ma śliczne koronki i kokardkę
+986;7;1;1;Ładnie wygląda
+986;8;0;0;Ładnie wygląda i ma śliczne koronki i kokardkę .
+619;2;0;1;spokojna , sympatyczna
+619;3;0;1;spokojna , sympatyczna atmosfera
+619;6;0;1;panowała spokojna , sympatyczna atmosfera
+619;7;0;0;Było przestronnie
+619;8;0;0;Było przestronnie , panowała spokojna , sympatyczna atmosfera .
+107;1;0;0;już 3
+107;2;0;0;już 3 raz
+107;4;0;0;tą wodę już 3 raz
+107;8;0;0;" Lacoste Essential"Mam tą wodę już 3 raz
+107;9;0;0;wody toaletowej
+107;12;0;0;kupna wody toaletowej " Lacoste Essential"Mam tą wodę już 3 raz
+107;13;1;1;bardzo zadowolony
+107;14;0;0;z niej
+107;15;0;0;do kupna wody toaletowej " Lacoste Essential"Mam tą wodę już 3 raz
+107;17;1;1;jestem z niej bardzo zadowolony
+107;18;1;1;Zachęcam do kupna wody toaletowej " Lacoste Essential"Mam tą wodę już 3 raz
+107;19;0;0;Zachęcam do kupna wody toaletowej " Lacoste Essential"Mam tą wodę już 3 raz i jestem z niej bardzo zadowolony .
+704;1;0;1;samej siebie
+704;2;0;1;od samej siebie
+704;4;0;-1;ucieczki od samej siebie
+704;5;0;0;głębi duszy
+704;7;1;1;pragnienie ucieczki od samej siebie
+704;8;0;0;w głębi duszy
+704;9;0;0;w głębi duszy tłumisz pragnienie ucieczki od samej siebie .
+1012;1;0;0;byłych pisowców
+1012;3;0;0;platformersów i byłych pisowców
+1012;4;1;0;z platformersów i byłych pisowców
+1012;6;0;0;złożona z platformersów i byłych pisowców
+1012;8;0;0;to postkomuch
+1012;12;0;0;egzotyczna koalicja złożona z platformersów i byłych pisowców
+1012;14;0;0;, bo to postkomuch
+1012;18;0;0;kłodzkiego starostwa powiatowego
+1012;19;0;0;powiatem rządzi egzotyczna koalicja złożona z platformersów i byłych pisowców
+1012;21;1;1;Średzińskiego nie lubią tu , bo to postkomuch
+1012;24;0;0;siedzibie kłodzkiego starostwa powiatowego
+1012;26;0;0;, że Średzińskiego nie lubią tu , bo to postkomuch , a powiatem rządzi egzotyczna koalicja złożona z platformersów i byłych pisowców
+1012;28;0;0;W siedzibie kłodzkiego starostwa powiatowego
+1012;29;0;0;W siedzibie kłodzkiego starostwa powiatowego dowiaduję się , że Średzińskiego nie lubią tu , bo to postkomuch , a powiatem rządzi egzotyczna koalicja złożona z platformersów i byłych pisowców .
+1125;2;1;1;bardzo fajny
+1125;4;0;1;Biustonosz jest bardzo fajny .
+101;1;1;0;ślicznego wyglądu
+101;3;1;1;biustowi ślicznego wyglądu
+101;4;0;0;Nadaje biustowi ślicznego wyglądu .
+1132;2;0;0;kobiecy biustonosz
+1132;5;0;1;Bardzo ładny i kobiecy biustonosz .
+534;1;0;0;dla dziewczyny
+534;2;0;0;prezent dla dziewczyny
+534;4;0;0;na prezent dla dziewczyny
+534;5;1;1;Polecam na prezent dla dziewczyny .
+258;3;0;1;kuszący biustonosz
+258;4;1;0;bardzo zmysłowy
+258;6;0;1;Niepowtarzalny bardzo zmysłowy i kuszący biustonosz .
+773;3;0;0;mocny , specyficzny
+773;4;0;0;perfumowana ma
+773;6;0;1;perfumowana ma mocny , specyficzny zapach
+773;8;0;0;ta woda perfumowana ma mocny , specyficzny zapach .
+773;9;0;1;że ta woda perfumowana ma mocny , specyficzny zapach .
+773;10;0;1;, że ta woda perfumowana ma mocny , specyficzny zapach .
+773;13;0;0;Napewno mogę powiedzieć , że ta woda perfumowana ma mocny , specyficzny zapach .
+163;2;1;1;odpowiednio podtrzyma
+163;3;0;0;ukryje go
+163;9;1;1;ukryje go i odpowiednio podtrzyma
+163;11;0;0;Stanik raczej nie wyeksponuje biustu
+163;12;0;0;Stanik raczej nie wyeksponuje biustu , a ukryje go i odpowiednio podtrzyma .
+179;1;0;0;innych perfum
+179;2;0;0;dla innych perfum
+179;5;0;0;ciężkim rywalem dla innych perfum
+179;7;0;0;dla mnie
+179;9;0;0;dla mnie to jest ciężkim rywalem dla innych perfum
+179;11;0;0;Lecz jak dla mnie to jest ciężkim rywalem dla innych perfum .
+602;2;0;0;Jędrzejowskiego i Włoszczowskiego
+602;4;0;0;Regionu Jędrzejowskiego i Włoszczowskiego
+602;6;0;0;- Gminnym
+602;7;0;1;Miss Regionu Jędrzejowskiego i Włoszczowskiego
+602;8;0;0;w Małogoszczu
+602;10;0;0;Miejsko - Gminnym
+602;12;0;1;tytuł Miss Regionu Jędrzejowskiego i Włoszczowskiego
+602;13;0;0;Miejsko - Gminnym Ośrodku Kultury w Małogoszczu
+602;14;0;0;pięknych dziewcząt
+602;16;0;1;o tytuł Miss Regionu Jędrzejowskiego i Włoszczowskiego
+602;17;0;0;w Miejsko - Gminnym Ośrodku Kultury w Małogoszczu
+602;18;0;0;Sześć pięknych dziewcząt
+602;19;0;0;Sześć pięknych dziewcząt rywalizowało w Miejsko - Gminnym Ośrodku Kultury w Małogoszczu o tytuł Miss Regionu Jędrzejowskiego i Włoszczowskiego .
+851;1;-1;0;winy kierowców
+851;3;0;0;z winy kierowców
+851;4;0;0;większość wypadków
+851;5;0;0;większość wypadków wynika z winy kierowców
+851;10;0;0;, bo większość wypadków wynika z winy kierowców
+851;11;0;-1;to jednak zmienić
+851;12;0;0;Trudno to jednak zmienić , bo większość wypadków wynika z winy kierowców .
+599;5;0;0;ml wody
+599;6;0;0;, który mieści 200
+599;9;0;0;Ciekawa kolorystyka flakonu , który mieści 200 ml wody .
+118;1;0;0;z Japonią
+118;3;0;0;wojnie z Japonią
+118;4;0;0;Dalekim Wschodzie
+118;5;0;0;w wojnie z Japonią
+118;6;0;0;na Dalekim Wschodzie
+118;10;-1;-1;klęski rosyjskie na Dalekim Wschodzie w wojnie z Japonią
+118;11;-1;0;Walkom rewolucyjnym
+118;12;0;0;Walkom rewolucyjnym towarzyszyły klęski rosyjskie na Dalekim Wschodzie w wojnie z Japonią .
+433;2;-1;-1;za dużo
+433;6;1;1;bardzo dobrze
+433;9;1;0;nie jest go za dużo
+433;10;1;0;atomizer bardzo dobrze rozpyla perfum
+433;11;1;0;bardzo ładnie
+433;14;1;0;atomizer bardzo dobrze rozpyla perfum , nie jest go za dużo
+433;15;1;1;Perfum bardzo ładnie pachnie
+433;16;0;0;Perfum bardzo ładnie pachnie , atomizer bardzo dobrze rozpyla perfum , nie jest go za dużo .
+915;4;1;1;wybitnie zdolny
+915;5;0;1;pełen inwencji
+915;7;0;0;szlachetny i ambitny
+915;13;0;0;szczery , liberalny , szlachetny i ambitny , pełen inwencji , wybitnie zdolny
+915;14;0;0;Jesteś szczery , liberalny , szlachetny i ambitny , pełen inwencji , wybitnie zdolny .
+474;2;1;1;fajny nietypowy kształcik
+474;4;1;1;fajny nietypowy kształcik Robią
+474;7;0;0;flakonik też ma fajny nietypowy kształcik Robią wrażenie
+270;2;0;0;jego późniejsze zabójstwo
+270;3;0;0;o jego późniejsze zabójstwo
+270;5;0;-1;oskarżeni o jego późniejsze zabójstwo
+270;6;0;0;w której
+270;8;0;0;, w której działali oskarżeni o jego późniejsze zabójstwo
+270;10;0;0;grupy przestępczej , w której działali oskarżeni o jego późniejsze zabójstwo
+270;12;0;0;członkiem grupy przestępczej , w której działali oskarżeni o jego późniejsze zabójstwo
+270;14;0;0;Trzynastolatek był członkiem grupy przestępczej , w której działali oskarżeni o jego późniejsze zabójstwo .
+362;2;1;1;bardzo ładny
+362;3;1;1;bardzo ładny , tajemniczy
+362;6;1;1;bardzo ładny , tajemniczy zapach
+362;7;0;0;Perfumy te
+362;8;0;0;Perfumy te mają bardzo ładny , tajemniczy zapach .
+189;2;1;1;atrakcyjny design
+189;4;0;0;Buteleczka posiada atrakcyjny design .
+536;3;0;0;oszczędny design flakonika
+536;6;0;1;Podoba mi się oszczędny design flakonika .
+785;1;0;0;w pamięć
+785;7;0;0;, który zapada w pamięć
+785;8;1;0;bardzo oryginalny i charakterystyczny
+785;11;1;0;bardzo oryginalny i charakterystyczny zapach , który zapada w pamięć
+785;12;0;0;CK Euphoria
+785;13;0;0;CK Euphoria to bardzo oryginalny i charakterystyczny zapach , który zapada w pamięć .
+594;1;0;0;swego gatunku
+594;3;0;0;innych zwierząt swego gatunku
+594;4;0;0;do innych zwierząt swego gatunku
+594;8;0;0;stosunku do innych zwierząt swego gatunku
+594;9;0;0;całymi koloniami
+594;10;0;0;nory wspólne
+594;11;1;0;bardzo towarzyski
+594;12;0;0;w stosunku do innych zwierząt swego gatunku
+594;14;0;1;żyje całymi koloniami
+594;15;0;0;zajmuje nory wspólne
+594;17;0;0;jest w stosunku do innych zwierząt swego gatunku bardzo towarzyski
+594;19;0;0;Królik jest w stosunku do innych zwierząt swego gatunku bardzo towarzyski , zajmuje nory wspólne i żyje całymi koloniami .
+428;2;1;1;estetyczny wygląd
+428;4;0;0;czarny co
+428;5;1;1;czarny co daje mu estetyczny wygląd
+428;10;1;0;biały i czarny co daje mu estetyczny wygląd
+428;12;0;0;w nim
+428;14;0;0;Kolory które
+428;15;0;0;Kolory które zostały w nim użyte to biały i czarny co daje mu estetyczny wygląd .
+1091;1;0;0;na toaletce
+1091;2;0;0;wyeksponowanego na toaletce
+1091;3;0;0;go wyeksponowanego na toaletce
+1091;4;0;0;mieć go wyeksponowanego na toaletce
+1091;8;0;0;się chce mieć go wyeksponowanego na toaletce
+1091;9;1;1;Flakonik przepiękny
+1091;10;0;0;Flakonik przepiękny aż się chce mieć go wyeksponowanego na toaletce .
+987;3;0;0;efekt push
+987;4;0;0;ściąga piersi
+987;5;0;0;zamiast podnosić
+987;8;0;1;tzw efekt push
+987;10;0;0;zamiast podnosić tylko ściąga piersi
+987;11;0;0;tzw efekt push up nie występuje
+987;13;0;0;a tzw efekt push up nie występuje bo zamiast podnosić tylko ściąga piersi .
+1146;3;0;0;& Gabbana
+1146;4;1;0;renomowanej marki jaką
+1146;7;0;1;Dolce & Gabbana
+1146;8;1;0;Woda toaletowa renomowanej marki jaką
+1146;9;0;0;Woda toaletowa renomowanej marki jaką jest Dolce & Gabbana .
+447;1;0;-1;moim mężczyźnie
+447;3;0;0;na moim mężczyźnie
+447;7;1;1;I bardzo lubię go na moim mężczyźnie .
+435;3;1;0;Gabana niczego sobie prześliczny
+435;5;1;1;Gabana niczego sobie prześliczny zapach
+435;6;0;0;Dolce& Gabana niczego sobie prześliczny zapach .
+1058;3;1;-1;przystępna cena
+1058;4;0;0;Duża butelka
+1058;5;0;0;Duża butelka i przystępna cena .
+87;2;1;1;wyjątkowej butelce
+87;3;0;0;W wyjątkowej butelce .
+535;1;0;0;na prezent
+535;5;1;0;również nieźle nadaje się na prezent
+535;9;1;0;, że również nieźle nadaje się na prezent
+535;10;0;0;pudełeczko sprawia
+535;13;0;0;Całkiem fajnie zaprojektowane pudełeczko sprawia , że również nieźle nadaje się na prezent !
+684;1;0;0;naszym rynku
+684;2;0;0;na naszym rynku
+684;5;1;1;najlepszych męskich perfumów na naszym rynku
+684;6;1;1;z najlepszych męskich perfumów na naszym rynku
+684;7;1;1;jeden z najlepszych męskich perfumów na naszym rynku
+684;8;1;-1;to jeden z najlepszych męskich perfumów na naszym rynku
+684;12;1;0;, że jest to jeden z najlepszych męskich perfumów na naszym rynku
+684;13;0;0;Uważam , że jest to jeden z najlepszych męskich perfumów na naszym rynku .
+929;2;0;0;na Sylwestra
+929;4;0;0;na codzień
+929;8;0;1;elegancką bluzkę na Sylwestra
+929;9;1;1;doskonale się sprawdza na codzień
+929;11;0;0;okazało się
+929;12;0;0;pod elegancką bluzkę na Sylwestra
+929;16;1;0;okazało się , że doskonale się sprawdza na codzień
+929;18;0;0;, że włożę go pod elegancką bluzkę na Sylwestra
+929;21;1;1;, że włożę go pod elegancką bluzkę na Sylwestra , ale okazało się , że doskonale się sprawdza na codzień
+929;22;0;0;z myślą
+929;25;0;0;Kupiła m go z myślą , że włożę go pod elegancką bluzkę na Sylwestra , ale okazało się , że doskonale się sprawdza na codzień .
+243;7;0;0;od życia
+243;8;0;0;, która wie czego
+243;9;0;0;uwodzicielską kobietą
+243;10;1;1;stylową zadbaną i
+243;11;1;0;stylową zadbaną i uwodzicielską kobietą , która wie czego chce od życia
+243;13;1;0;ze stylową zadbaną i uwodzicielską kobietą , która wie czego chce od życia
+243;16;0;0;Mi kojarzy się ze stylową zadbaną i uwodzicielską kobietą , która wie czego chce od życia .
+1096;2;0;0;romantyczny wieczór
+1096;3;0;0;na dyskotekę
+1096;5;0;0;na romantyczny wieczór
+1096;8;0;0;zarówno na romantyczny wieczór jak i na dyskotekę
+1096;10;0;0;Nadają się zarówno na romantyczny wieczór jak i na dyskotekę .
+57;1;0;0;taki stanik
+57;3;0;0;mieć taki stanik
+57;4;1;0;ja marzę
+57;5;1;0;ja marzę aby mieć taki stanik
+57;8;1;0;wy ale ja marzę aby mieć taki stanik
+57;11;0;0;Nie wiem jak wy ale ja marzę aby mieć taki stanik .
+907;2;0;0;o siebie nawzajem
+907;6;0;0;troską i lękiem o siebie nawzajem
+907;9;0;0;Miłość nie jest troską i lękiem o siebie nawzajem .
+574;1;-1;0;ją zabić
+574;6;0;0;, że lekarze chcą ją zabić
+574;8;0;0;Uroiła sobie , że lekarze chcą ją zabić .
+703;1;0;-1;gruby błąd
+703;4;-1;-1;błąd , gruby błąd
+703;6;0;0;To był błąd , gruby błąd .
+363;6;0;0;wysokiej ceny
+363;9;0;0;w 100%
+363;11;0;0;owa woda Dolce & Gabbana
+363;12;0;1;Mimo wysokiej ceny
+363;13;0;0;Mimo wysokiej ceny owa woda Dolce & Gabbana jest tego w 100% warta !
+286;1;0;0;tego modelu
+286;2;0;0;z tego modelu
+286;3;0;0;lato z tego modelu
+286;5;0;0;na lato z tego modelu
+286;8;0;0;dużej miseczce
+286;10;1;1;jakieś fajne kolorki na lato z tego modelu
+286;11;0;0;o dużej miseczce
+286;12;1;1;wypuści jakieś fajne kolorki na lato z tego modelu no
+286;13;1;1;wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce
+286;16;0;0;moze gaia wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce
+286;17;0;0;moze gaia wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce ; p
+248;4;0;0;na mnie
+248;7;1;0;pocałowali śmy się
+248;8;0;0;Ariel podniósł na mnie wzrok
+248;9;0;0;Ariel podniósł na mnie wzrok i pocałowali śmy się .
+551;3;0;0;do wspomnień
+551;5;0;0;różnymi sytuacjami ,
+551;7;1;1;zpach dobry do wspomnień
+551;8;0;0;z różnymi sytuacjami ,
+551;10;0;0;ten zapach
+551;16;1;0;wiąże go z różnymi sytuacjami , zpach dobry do wspomnień
+551;17;0;1;tak właśnie kojarzy mi się ten zapach
+551;18;0;0;tak właśnie kojarzy mi się ten zapach i wiąże go z różnymi sytuacjami , zpach dobry do wspomnień !
+358;2;0;1;piękną tradycję
+358;4;0;-1;jacyś ekstremiści
+358;6;0;0;, niszcząc piękną tradycję
+358;7;0;-1;jak jacyś ekstremiści
+358;9;0;0;Zachowują się jak jacyś ekstremiści , niszcząc piękną tradycję .
+954;1;0;0;tego modelu
+954;2;0;0;z tego modelu
+954;3;0;0;lato z tego modelu
+954;5;0;0;na lato z tego modelu
+954;8;0;0;dużej miseczce
+954;10;1;1;jakieś fajne kolorki na lato z tego modelu
+954;11;0;0;o dużej miseczce
+954;12;1;1;wypuści jakieś fajne kolorki na lato z tego modelu no
+954;13;1;1;wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce
+954;16;0;0;moze gaia wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce
+954;17;0;0;moze gaia wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce ; p
+722;2;1;0;miłością Ducha
+722;12;0;0;być wolni
+722;14;0;0;wiarą , modlitwą , ofiarą , krwią , mądrością i miłością Ducha
+722;17;0;0;nie potrafimy być wolni
+722;19;0;0;Jesteśmy wyzwoleni wiarą , modlitwą , ofiarą , krwią , mądrością i miłością Ducha
+722;20;0;0;Jesteśmy wyzwoleni wiarą , modlitwą , ofiarą , krwią , mądrością i miłością Ducha , ale nie potrafimy być wolni .
+975;2;0;0;na wieczór
+975;6;1;1;Perfum idealny na wieczór ,
+975;7;0;0;Perfum idealny na wieczór , długo pachnie .
+960;2;0;0;pod nim
+960;3;1;1;przyjemnego efektu
+960;7;0;0;Skóra pod nim
+960;9;-1;1;nie dawało to przyjemnego efektu
+960;10;0;0;Skóra pod nim pociła się
+960;11;0;0;Skóra pod nim pociła się i nie dawało to przyjemnego efektu .
+1051;2;1;1;ładny haft
+1051;4;0;0;Ma bardzo ładny haft .
+1034;2;1;1;prześliczny zapach
+1034;5;1;0;. i ma prześliczny zapach .
+1034;6;0;0;. . i ma prześliczny zapach .
+810;1;0;0;mojego męża
+810;3;0;0;moje i mojego męża
+810;6;1;1;ukochane perfumy moje i mojego męża
+810;7;0;0;To ukochane perfumy moje i mojego męża .
+908;2;1;1;bardzo ciekawy
+908;4;1;1;bardzo ciekawy design flakonika
+908;7;0;0;Uwagę przyciąga również bardzo ciekawy design flakonika .
+405;1;0;0;z antyperspirantem
+405;2;0;0;zestawach z antyperspirantem
+405;3;0;0;w zestawach z antyperspirantem
+405;7;0;0;często w zestawach z antyperspirantem
+405;8;0;0;ceny ,
+405;9;0;0;Różnorodne pojemności
+405;10;0;0;Różnorodne pojemności i ceny , często w zestawach z antyperspirantem .
+484;1;0;1;pojemny kształt
+484;4;1;1;poręczny i pojemny kształt
+484;6;0;0;Flakonik ma poręczny i pojemny kształt .
+794;2;0;0;skromniejsze kształty
+794;4;0;1;Pięknie podkreśla skromniejsze kształty .
+1014;1;0;0;bardzo wydekoltowanych
+1014;2;0;0;bardzo wydekoltowanych bluzeczek
+1014;4;0;0;założenie bardzo wydekoltowanych bluzeczek
+1014;5;0;1;Bardzo wysokie
+1014;7;0;0;na założenie bardzo wydekoltowanych bluzeczek
+1014;8;0;0;Bardzo wysokie wycięcie
+1014;9;0;0;Bardzo wysokie wycięcie pozwala na założenie bardzo wydekoltowanych bluzeczek .
+1110;2;1;0;pewnych siebie
+1110;3;1;0;pewnych siebie i zdecydowanych
+1110;5;1;1;kobiet pewnych siebie i zdecydowanych
+1110;6;0;0;Dla kobiet pewnych siebie i zdecydowanych .
+798;1;0;0;oryginalnej perfumerii
+798;2;0;0;z oryginalnej perfumerii
+798;5;0;0;prezent z oryginalnej perfumerii
+798;6;0;0;nie podróba
+798;7;0;0;na 100%
+798;8;0;0;na prezent z oryginalnej perfumerii
+798;12;0;0;na 100% to nie podróba
+798;14;0;0;Dostała m je na prezent z oryginalnej perfumerii
+798;15;0;0;Dostała m je na prezent z oryginalnej perfumerii , więc na 100% to nie podróba !
+579;4;1;0;, który jednocześnie pociąga
+579;5;0;0;, który jednocześnie pociąga i odrzuca
+579;7;0;0;zapach , który jednocześnie pociąga i odrzuca
+579;8;0;0;To zapach , który jednocześnie pociąga i odrzuca .
+1186;1;0;0;Jerzego Buzka
+1186;3;0;0;rządu Jerzego Buzka
+1186;7;0;0;interesu narodowego
+1186;11;0;0;błędy i zaniechania rządu Jerzego Buzka
+1186;12;0;0;po imieniu
+1186;13;0;0;realizmu , pragmatyzmu , interesu narodowego
+1186;15;0;0;nazywać po imieniu błędy i zaniechania rządu Jerzego Buzka
+1186;16;0;0;Poczucie realizmu , pragmatyzmu , interesu narodowego
+1186;17;0;0;Poczucie realizmu , pragmatyzmu , interesu narodowego nakazuje nazywać po imieniu błędy i zaniechania rządu Jerzego Buzka .
+303;1;1;1;nowoczesnym flakonie
+303;2;1;1;w nowoczesnym flakonie
+303;4;1;1;umieszczone w nowoczesnym flakonie
+303;5;0;0;Perfumy umieszczone w nowoczesnym flakonie .
+410;1;0;0;do sznurka
+410;3;0;0;przywiązanej do sznurka
+410;4;0;0;skomplikowanych wzorów
+410;6;0;0;deski przywiązanej do sznurka
+410;7;0;0;Do skomplikowanych wzorów
+410;8;0;0;Do skomplikowanych wzorów używamy deski przywiązanej do sznurka .
+1106;2;1;1;śliczny , kobiecy
+1106;3;1;1;śliczny , kobiecy zapach
+1106;6;1;1;o prostu śliczny , kobiecy zapach
+480;4;1;1;zapach zmysłowy
+480;5;0;0;zapach zmysłowy , ale ciężki .
+340;3;0;0;Marka znana
+340;4;0;0;Marka znana jest każdemu .
+888;2;0;0;w nich
+888;5;0;0;bardzo skromne
+888;6;0;0;co się w nich znajduje
+888;10;0;0;flakonik bardzo skromne
+888;13;-1;0;zupełnie nie obrazują tego co się w nich znajduje
+888;14;0;0;Opakowanie i flakonik bardzo skromne
+888;15;0;0;Opakowanie i flakonik bardzo skromne i zupełnie nie obrazują tego co się w nich znajduje .
+889;2;0;0;w Polsce
+889;6;0;0;krakowskiej Wisły
+889;8;0;0;wszystkim sympatykom futbolu w Polsce
+889;9;0;1;wspaniały prezent
+889;10;0;0;Piłkarze krakowskiej Wisły
+889;11;0;0;Piłkarze krakowskiej Wisły sprawili wspaniały prezent wszystkim sympatykom futbolu w Polsce .
+490;1;0;0;ciała materiału
+490;2;0;0;dla ciała materiału
+490;4;1;1;bardzo miłego dla ciała materiału
+490;5;1;1;z bardzo miłego dla ciała materiału
+490;7;1;1;wykonany z bardzo miłego dla ciała materiału
+490;8;0;0;Jest wykonany z bardzo miłego dla ciała materiału .
+608;2;1;1;wygodny flakonik
+608;3;0;0;na skórze
+608;7;1;1;ma wygodny flakonik
+608;8;0;0;Długo utrzymuje się na skórze
+608;9;0;1;Długo utrzymuje się na skórze i ma wygodny flakonik .
+972;1;-1;0;czynną napaść
+972;3;0;0;o czynną napaść
+972;4;0;0;na sprawców
+972;6;0;0;doniesienia na sprawców o czynną napaść
+972;11;0;0;– Dlaczego nie złożył pan doniesienia na sprawców o czynną napaść ?
+369;2;0;0;Wielkiego Czwartku
+369;3;0;0;Niedzieli Palmowej
+369;4;0;0;Niedzieli Palmowej i Wielkiego Czwartku
+369;5;0;0;nabożeństwa Niedzieli Palmowej i Wielkiego Czwartku
+369;9;0;0;, który nie celebrował nabożeństwa Niedzieli Palmowej i Wielkiego Czwartku
+369;11;0;0;Papieża , który nie celebrował nabożeństwa Niedzieli Palmowej i Wielkiego Czwartku
+369;12;0;0;Wielkiego Tygodnia
+369;13;0;0;zdrowie Papieża , który nie celebrował nabożeństwa Niedzieli Palmowej i Wielkiego Czwartku
+369;14;0;1;uroczystości Wielkiego Tygodnia
+369;15;0;0;na zdrowie Papieża , który nie celebrował nabożeństwa Niedzieli Palmowej i Wielkiego Czwartku
+369;16;0;1;czasie uroczystości Wielkiego Tygodnia
+369;18;0;0;uwagę na zdrowie Papieża , który nie celebrował nabożeństwa Niedzieli Palmowej i Wielkiego Czwartku
+369;19;0;0;W czasie uroczystości Wielkiego Tygodnia
+369;20;0;0;W czasie uroczystości Wielkiego Tygodnia zwracano uwagę na zdrowie Papieża , który nie celebrował nabożeństwa Niedzieli Palmowej i Wielkiego Czwartku .
+96;2;0;0;dla skóry
+96;5;0;0;do niej
+96;7;1;1;Bardzo miły dla skóry
+96;8;1;1;Bardzo miły dla skóry idealnie do niej przylega .
+128;2;0;0;na wyjścia
+128;4;1;1;Bardziej polecam na wyjścia .
+765;4;1;1;też jakby urzeczony
+765;6;0;0;ze zdziwieniem
+765;7;0;0;na nią
+765;11;0;1;Gąsowski , też jakby urzeczony
+765;13;0;0;spojrzał na nią ze zdziwieniem
+765;14;0;0;podniósł ją ręką
+765;15;0;0;pań Gąsowski , też jakby urzeczony ,
+765;17;0;0;A pań Gąsowski , też jakby urzeczony , podniósł ją ręką i spojrzał na nią ze zdziwieniem .
+297;1;0;1;cudowne uczucie
+297;6;0;0;, jakie to cudowne uczucie
+297;9;0;0;, Madziu ,
+297;12;0;0;zobaczysz wtedy , jakie to cudowne uczucie
+297;13;0;0;Weź sobie , Madziu , kochankę
+297;15;0;0;- Weź sobie , Madziu , kochankę , zobaczysz wtedy , jakie to cudowne uczucie .
+650;1;1;1;wygodnego materiału
+650;4;1;1;z wygodnego materiału
+650;6;0;0;Ten biustonosz
+650;7;0;0;Ten biustonosz został wykonany z wygodnego materiału .
+573;2;0;1;fajnych rodziców
+573;3;0;0;cztery włosy
+573;5;0;1;cztery włosy i fajnych rodziców
+573;6;0;0;trzy kilo
+573;8;0;0;mam cztery włosy i fajnych rodziców
+573;9;0;0;Ważę trzy kilo
+573;10;0;0;Ważę trzy kilo , mam cztery włosy i fajnych rodziców .
+99;1;0;0;większym dekolcie
+99;3;0;0;przy większym dekolcie
+99;6;0;1;Dobrze spisuje się przy większym dekolcie .
+498;1;0;0;na rynku
+498;4;1;1;lepszych marek perfum na rynku
+498;5;1;1;z lepszych marek perfum na rynku
+498;6;1;1;jedna z lepszych marek perfum na rynku
+498;7;1;1;Davidoff jedna z lepszych marek perfum na rynku
+498;10;1;1;, że Davidoff jedna z lepszych marek perfum na rynku
+498;12;0;0;Doszedł em , że Davidoff jedna z lepszych marek perfum na rynku .
+152;1;0;1;niezwykłym miejscu
+152;2;0;1;w niezwykłym miejscu
+152;6;0;0;się jej oświadczyć w niezwykłym miejscu
+152;8;0;0;Dlatego chciał się jej oświadczyć w niezwykłym miejscu .
+280;2;0;0;5 lat
+280;3;0;0;tych perfumach
+280;5;0;0;od 5 lat
+280;8;0;0;O tych perfumach
+280;9;1;0;O tych perfumach marzę już chyba od 5 lat .
+880;2;0;0;limonki , cytrusów
+880;8;0;0;zdecydowaną woń limonki , cytrusów
+880;9;0;0;Gdy przechodzi opbok mnie
+880;10;0;0;Gdy przechodzi opbok mnie czuję zdecydowaną woń limonki , cytrusów .
+4;1;0;1;pięknie wyszywanego
+4;2;0;1;pięknie wyszywanego fraka
+4;6;0;1;Rękaw pięknie wyszywanego fraka
+4;7;0;0;Rękaw pięknie wyszywanego fraka prędko nasiąkł krwią .
+1005;2;1;1;także bardzo ładny
+1005;3;1;1;kolor także bardzo ładny
+1005;8;1;1;sexsownie , kolor także bardzo ładny
+1005;9;1;0;Piersi wyglądają pięknie
+1005;10;0;1;Piersi wyglądają pięknie i sexsownie , kolor także bardzo ładny .
+834;1;0;0;przemianie białkowej
+834;2;0;0;w przemianie białkowej
+834;7;0;0;aktywny udział w przemianie białkowej
+834;10;0;0;włosów i paznokci
+834;11;0;0;, które biorą aktywny udział w przemianie białkowej ,
+834;13;0;0;schorzenia włosów i paznokci
+834;14;0;0;pozostałych składników , które biorą aktywny udział w przemianie białkowej ,
+834;16;0;0;powodować schorzenia włosów i paznokci
+834;17;0;0;Niedobory pozostałych składników , które biorą aktywny udział w przemianie białkowej ,
+834;18;0;0;Niedobory pozostałych składników , które biorą aktywny udział w przemianie białkowej , mogą powodować schorzenia włosów i paznokci .
+1035;1;0;0;każdego mężczyzny
+1035;3;0;0;dla każdego mężczyzny
+1035;4;1;1;Idealne dla każdego mężczyzny !
+331;2;0;0;pracy i szkoły
+331;4;0;0;do pracy i szkoły
+331;5;1;1;Idealny do pracy i szkoły .
+837;1;0;0;bardzo długi
+837;4;0;0;bardzo długi czas
+837;5;0;0;już jedno
+837;7;1;0;bardzo trwały
+837;9;0;0;na bardzo długi czas
+837;10;0;0;już jedno psiknięcie
+837;11;1;0;Produkt bardzo trwały ,
+837;12;0;1;Produkt bardzo trwały , już jedno psiknięcie starczy na bardzo długi czas .
+719;2;1;1;śliczny , słodkawy
+719;4;1;1;śliczny , słodkawy zapach
+719;5;0;0;Mają śliczny , słodkawy zapach .
+444;2;0;0;chyba najbardziej
+444;3;0;0;na świecie
+444;4;0;1;chyba najbardziej znany
+444;6;0;0;chyba najbardziej znany perfum na świecie
+444;8;0;0;5 to chyba najbardziej znany perfum na świecie .
+514;2;1;1;rewelacyjnie jak
+514;6;1;0;nie działa rewelacyjnie jak ten
+514;7;0;0;Żaden zapach
+514;8;0;0;Żaden zapach tak nie działa rewelacyjnie jak ten .
+50;2;1;1;ulubionego koloru
+50;3;0;0;tego produktu
+50;4;1;1;wyboru ulubionego koloru
+50;5;0;0;rozmiarów tego produktu
+50;8;1;0;opcja wyboru ulubionego koloru
+50;11;0;0;także pełna gama rozmiarów tego produktu
+50;13;1;0;Możliwa jest opcja wyboru ulubionego koloru
+50;14;0;0;Możliwa jest opcja wyboru ulubionego koloru , a także pełna gama rozmiarów tego produktu .
+1121;1;0;0;do produktu
+1121;2;0;1;adekwatna do produktu
+1121;5;0;0;cena jest adekwatna do produktu
+1121;7;0;0;Uważam że cena jest adekwatna do produktu .
+1182;1;0;0;najnowszymi autami
+1182;2;0;0;z najnowszymi autami
+1182;5;0;0;porównaniu z najnowszymi autami
+1182;7;0;0;jego prezentacji
+1182;10;0;0;dość konserwatywnie
+1182;11;0;0;w porównaniu z najnowszymi autami
+1182;13;1;1;dość nowoczesna
+1182;14;0;0;wkrótce po jego prezentacji
+1182;15;0;0;Opla Astry
+1182;17;0;0;teraz w porównaniu z najnowszymi autami wygląda dość konserwatywnie
+1182;19;0;0;wkrótce po jego prezentacji była dość nowoczesna
+1182;20;0;0;Stylistyka Opla Astry
+1182;21;0;0;Stylistyka Opla Astry wkrótce po jego prezentacji była dość nowoczesna , ale teraz w porównaniu z najnowszymi autami wygląda dość konserwatywnie .
+897;2;1;1;jest wygodny
+897;4;0;0;poza tym
+897;6;1;1;biust i jest wygodny
+897;8;0;0;Biustonosz poza tym
+897;9;0;1;Biustonosz poza tym fajnie utrzymuje biust i jest wygodny .
+370;1;0;0;średniej półki
+370;3;0;0;ze średniej półki
+370;4;0;0;markowych wód
+370;5;0;0;perfum ze średniej półki
+370;10;0;0;większość markowych wód
+370;14;0;0;nie jest to perfum ze średniej półki
+370;15;1;1;Cenowo jak większość markowych wód wypada nawet korzystnie
+370;16;0;0;Cenowo jak większość markowych wód wypada nawet korzystnie chociaż nie jest to perfum ze średniej półki .
+89;4;0;0;kolorów i fasonu
+89;6;0;0;Po praniu
+89;7;-1;0;Po praniu nie traci kolorów i fasonu .
+431;1;-1;0;przereklamowanym produktem
+431;2;-1;0;jest przereklamowanym produktem
+431;6;-1;0;No 5 jest przereklamowanym produktem
+431;7;0;0;perfumowana Chanel
+431;8;0;0;Woda perfumowana Chanel No 5 jest przereklamowanym produktem .
+345;3;0;0;prawdziwego samca który
+345;4;0;1;Tak pachnący
+345;7;0;0;wrażenie prawdziwego samca który
+345;8;0;0;Tak pachnący facet
+345;10;0;0;, czego chce
+345;11;0;1;Tak pachnący facet robi wrażenie prawdziwego samca który
+345;12;0;0;Tak pachnący facet robi wrażenie prawdziwego samca który wie , czego chce .
+154;1;0;0;wieczorne wyjścia
+154;3;0;0;na wieczorne wyjścia
+154;6;1;0;Doskonale się sprawdzi na wieczorne wyjścia .
+1190;1;0;0;. .
+1190;4;0;0;. . .
+1190;5;0;1;przyjemnego pobytu
+1190;7;0;0;Tylko współlokatorka
+1190;8;0;1;Tylko współlokatorka nie rokowała przyjemnego pobytu . . .
+1099;2;0;0;nie każdej spasuje
+1099;5;0;0;lubić a więc nie każdej spasuje
+1099;7;0;0;trzeba lubić a więc nie każdej spasuje
+1099;9;0;0;Takie zapachy trzeba lubić a więc nie każdej spasuje .
+495;3;0;0;też Krew
+495;4;0;0;Cena miłości
+495;5;0;0;Cena miłości to też Krew .
+992;2;-1;-1;soczyste przekleństwa
+992;5;0;0;w złości
+992;8;0;-1;rzuca głośno soczyste przekleństwa
+992;9;0;-1;w złości kopie ławkę
+992;10;0;0;Ktoś inny
+992;11;0;0;Ktoś inny w złości kopie ławkę i rzuca głośno soczyste przekleństwa .
+779;2;0;0;złych myśli
+779;3;0;1;grzesznych namiętności
+779;4;0;0;grzesznych namiętności i złych myśli
+779;5;0;0;od grzesznych namiętności i złych myśli
+779;7;0;1;wolny od grzesznych namiętności i złych myśli
+779;9;0;0;Hezychasta jest wolny od grzesznych namiętności i złych myśli .
+738;2;1;1;przystępną cenę
+738;4;0;0;Biustonosz ma przystępną cenę .
+1194;1;0;0;puli niehistonowej
+1194;2;0;0;w puli niehistonowej
+1194;5;0;0;białek cytoplazmatycznych w puli niehistonowej
+1194;8;0;0;aktywności proteolitycznej
+1194;10;0;0;zarówno aktywności proteolitycznej , jak i białek cytoplazmatycznych w puli niehistonowej
+1194;14;0;-1;prawdopodobne źródło zarówno aktywności proteolitycznej , jak i białek cytoplazmatycznych w puli niehistonowej
+1194;16;0;0;cytoplazmatyczne i błonowe
+1194;18;0;0;, stanowiąc prawdopodobne źródło zarówno aktywności proteolitycznej , jak i białek cytoplazmatycznych w puli niehistonowej
+1194;21;0;0;Zanieczyszczenia cytoplazmatyczne i błonowe
+1194;22;0;0;Zanieczyszczenia cytoplazmatyczne i błonowe są również groźne , stanowiąc prawdopodobne źródło zarówno aktywności proteolitycznej , jak i białek cytoplazmatycznych w puli niehistonowej .
+206;2;-1;-1;żadna rewelacja
+206;4;0;0;Zapach to żadna rewelacja .
+1168;1;0;0;trzy zatrzaski
+1168;2;0;0;na trzy zatrzaski
+1168;4;0;0;zapięcie na trzy zatrzaski
+1168;5;0;0;szerokie ramiączka
+1168;8;0;0;szerokie ramiączka oraz zapięcie na trzy zatrzaski
+1168;9;0;0;moje poprzedniczki biustonosz
+1168;10;0;0;moje poprzedniczki biustonosz posiada szerokie ramiączka oraz zapięcie na trzy zatrzaski
+1168;13;0;0;pisały już moje poprzedniczki biustonosz posiada szerokie ramiączka oraz zapięcie na trzy zatrzaski
+1168;15;0;0;Tak jak pisały już moje poprzedniczki biustonosz posiada szerokie ramiączka oraz zapięcie na trzy zatrzaski .
+513;3;1;1;najlepsza perfuma jakiej
+513;8;1;0;najlepsza perfuma jakiej dotąd używał
+513;9;0;0;Lacoste Pour Homme
+513;10;0;0;Lacoste Pour Homme to najlepsza perfuma jakiej dotąd używał em .
+317;2;0;0;agresywnymi liniami Focusa
+317;4;0;0;z agresywnymi liniami Focusa
+317;5;0;1;za ponadczasową
+317;8;0;0;porównaniu z agresywnymi liniami Focusa
+317;10;0;0;być uznana za ponadczasową
+317;11;0;0;jego bryła
+317;13;0;0;w porównaniu z agresywnymi liniami Focusa
+317;14;0;0;Sylwetka Golfa
+317;16;0;0;jego bryła może być uznana za ponadczasową
+317;18;0;1;Sylwetka Golfa w porównaniu z agresywnymi liniami Focusa wygląda spokojnie
+317;19;0;0;Sylwetka Golfa w porównaniu z agresywnymi liniami Focusa wygląda spokojnie , ale jego bryła może być uznana za ponadczasową .
+205;2;1;1;znakomitym dizajnie
+205;3;1;1;znakomitym dizajnie i stylu
+205;4;1;1;o znakomitym dizajnie i stylu
+205;5;1;1;, o znakomitym dizajnie i stylu
+205;9;1;0;coś seksownego , o znakomitym dizajnie i stylu
+205;10;0;0;polska firemka
+205;12;0;0;Tymczasem polska firemka robi coś seksownego , o znakomitym dizajnie i stylu .
+555;6;1;1;, że biust prezentuje się dobrze
+555;7;0;0;bardzo kobiecy
+555;10;1;0;sprawia , że biust prezentuje się dobrze
+555;11;0;0;Krój jest bardzo kobiecy
+555;12;0;0;Krój jest bardzo kobiecy , sprawia , że biust prezentuje się dobrze .
+997;3;0;0;bardzo szybko
+997;6;0;0;, które bardzo szybko się rozciągają ,
+997;10;0;0;tanich biustonoszy , które bardzo szybko się rozciągają ,
+997;11;1;1;bardzo zadowolona
+997;12;0;0;na triumph
+997;13;0;0;z tanich biustonoszy , które bardzo szybko się rozciągają ,
+997;17;1;1;jestem bardzo zadowolona
+997;18;0;0;Przerzuciła m się z tanich biustonoszy , które bardzo szybko się rozciągają , na triumph
+997;19;0;0;Przerzuciła m się z tanich biustonoszy , które bardzo szybko się rozciągają , na triumph i jestem bardzo zadowolona .
+287;2;0;0;na zimę
+287;3;1;1;idealny na zimę .
+7;1;0;0;tym biustonoszu
+7;5;0;0;w tym biustonoszu
+7;8;0;0;jego wkładki push up
+7;9;0;1;najważniejsze w tym biustonoszu
+7;10;0;0;Dla mnie
+7;11;0;0;Dla mnie najważniejsze w tym biustonoszu są jego wkładki push up .
+33;1;0;0;na rynku
+33;3;1;1;najlepszych wód na rynku
+33;5;1;1;z najlepszych wód na rynku
+33;6;0;0;Calvin Clein
+33;8;1;1;jedną z najlepszych wód na rynku
+33;9;0;0;Woda Calvin Clein
+33;10;0;0;Woda Calvin Clein jest jedną z najlepszych wód na rynku .
+936;1;1;0;ślicznego wyglądu
+936;3;1;1;biustowi ślicznego wyglądu
+936;4;0;1;Nadaje biustowi ślicznego wyglądu .
+1094;2;0;0;! !
+1094;3;1;1;warty polecenia
+1094;4;0;0;! ! !
+1094;5;1;1;zapach warty polecenia
+1094;8;0;0;Minimalistyczne opakowanie lecz zapach warty polecenia ! ! !
+210;2;0;0;odsłonić ramiona
+210;4;0;0;wyborze garderoby
+210;5;0;0;chce się odsłonić ramiona
+210;7;0;0;w wyborze garderoby
+210;11;0;0;, gdy chce się odsłonić ramiona
+210;12;1;1;większą swobodę w wyborze garderoby
+210;13;0;0;Regulacja ramiączek
+210;14;0;0;Regulacja ramiączek stwarza większą swobodę w wyborze garderoby , gdy chce się odsłonić ramiona .
+113;2;0;1;miły wieczór
+113;4;0;0;To był miły wieczór .
+465;4;0;0;wspaniałe jezioro
+465;5;0;0;na nas
+465;6;0;0;W Moryniu
+465;8;0;0;- W Moryniu czeka na nas wspaniałe jezioro .
+828;3;0;0;Ten biustonosz
+828;4;0;0;Ten biustonosz jest idealny .
+644;4;0;0;ten biustonosz
+644;5;1;0;bardzo ładny i wyjtakowy
+644;6;0;1;ze ten biustonosz
+644;8;1;0;, ze ten biustonosz jest bardzo ładny i wyjtakowy
+644;10;1;0;Sadze , ze ten biustonosz jest bardzo ładny i wyjtakowy
+414;3;1;1;, wygodny flakon
+414;5;0;0;Perfumy wytrzymałe , wygodny flakon .
+90;2;0;0;wieczorne wyjścia
+90;3;0;0;codziennego użytkowania
+90;4;0;0;na wieczorne wyjścia
+90;6;0;0;do codziennego użytkowania
+90;7;1;1;Dobry na wieczorne wyjścia
+90;8;0;1;Dobry na wieczorne wyjścia i do codziennego użytkowania .
+448;2;1;1;pełen klasy
+448;4;0;0;Słodkawy i pełen klasy .
+296;1;0;1;Pałacu Prezydenckim
+296;3;0;1;w Pałacu Prezydenckim
+296;4;0;0;wręczenia stypendiów
+296;5;1;0;uroczystości wręczenia stypendiów w Pałacu Prezydenckim
+296;9;0;0;na uroczystości wręczenia stypendiów w Pałacu Prezydenckim
+296;10;0;0;swoim synom
+296;11;0;0;Obie też
+296;12;0;0;Obie też towarzyszyły swoim synom na uroczystości wręczenia stypendiów w Pałacu Prezydenckim .
+701;2;0;0;perfumy obowiązkowe
+701;3;0;0;miłośniczki pereł
+701;6;0;0;, dla miłośniczki pereł perfumy obowiązkowe
+701;8;0;0;Butelka zachwycająca , dla miłośniczki pereł perfumy obowiązkowe !
+1029;2;1;0;bardzo ,
+1029;3;1;0;bardzo , bardzo trwały
+1029;5;1;0;kosmetyk bardzo , bardzo trwały
+1029;7;0;0;Jest to kosmetyk bardzo , bardzo trwały .
+161;1;0;1;bardzo klasyczna
+161;3;0;0;bardzo klasyczna co
+161;6;0;0;przyciąga wzrok
+161;7;0;0;buteleczka bardzo klasyczna co sprawia
+161;8;0;0;buteleczka bardzo klasyczna co sprawia że przyciąga wzrok .
+876;3;1;1;fajny kształt
+876;4;0;0;duża buteleczka
+876;6;0;0;Bardzo duża buteleczka i fajny kształt .
+455;2;0;0;kilka dni
+455;3;0;0;na ubraniach
+455;5;0;0;si kilka dni
+455;6;0;0;Trwały na ubraniach
+455;7;0;0;Trwały na ubraniach utrzymuje si kilka dni .
+94;1;0;0;młodego chłopaka
+94;3;0;0;dla młodego chłopaka
+94;4;0;0;Natomiast dla młodego chłopaka ?
+232;1;0;0;swojej słodkości
+232;3;0;0;do swojej słodkości
+232;4;0;0;lekko stonowany
+232;6;0;0;lekko stonowany co do swojej słodkości
+232;7;0;0;Zapach lekko stonowany co do swojej słodkości .
+145;3;0;0;do Gdańska
+145;4;0;0;tamtejszych środowisk żydowskich
+145;5;0;0;wyjazdu do Gdańska
+145;9;1;0;przychylność tamtejszych środowisk żydowskich
+145;10;0;0;podczas wyjazdu do Gdańska
+145;11;0;0;wicestarosta Hrycyna
+145;12;0;0;Przed tygodniem
+145;13;0;0;Przed tygodniem wicestarosta Hrycyna podczas wyjazdu do Gdańska uzyskał przychylność tamtejszych środowisk żydowskich .
+342;3;1;0;najbardziej ulubionych
+342;5;0;0;! !
+342;6;1;0;moich najbardziej ulubionych męskich zapachów
+342;7;0;0;! ! !
+342;8;1;1;z moich najbardziej ulubionych męskich zapachów
+342;9;0;0;Jeden z moich najbardziej ulubionych męskich zapachów ! ! !
+315;1;1;1;odrobinę luksusu
+315;4;1;1;im odrobinę luksusu
+315;6;0;0;osobowości i ubioru
+315;8;1;0;, dodając im odrobinę luksusu
+315;9;0;0;do osobowości i ubioru
+315;11;0;0;Dopasowuje się do osobowości i ubioru , dodając im odrobinę luksusu .
+715;1;0;0;na gwiazdkę
+715;3;0;0;Fajny prezent na gwiazdkę
+177;3;1;1;wspaniale podkreśla
+177;4;0;0;unosi go
+177;5;0;0;biust kobiety
+177;8;1;1;unosi go i wspaniale podkreśla
+177;9;1;1;Świetnie kształtuje biust kobiety
+177;10;0;0;Świetnie kształtuje biust kobiety , unosi go i wspaniale podkreśla .
+30;2;0;0;w Izraelu
+30;3;0;1;stronami konfliktu
+30;4;0;0;mieszkających w Izraelu
+30;5;0;1;między stronami konfliktu
+30;6;0;0;mieszkających w Izraelu Arabów
+30;10;0;1;mediacjach między stronami konfliktu
+30;11;0;0;800 tysięcy mieszkających w Izraelu Arabów
+30;12;0;0;świeccy i religijni
+30;13;0;1;w mediacjach między stronami konfliktu
+30;16;0;0;świeccy i religijni przedstawiciele 800 tysięcy mieszkających w Izraelu Arabów
+30;17;0;0;Aktywną rolę w mediacjach między stronami konfliktu
+30;18;0;0;Aktywną rolę w mediacjach między stronami konfliktu pełnią świeccy i religijni przedstawiciele 800 tysięcy mieszkających w Izraelu Arabów .
+1171;1;1;1;przystępnej cenie
+1171;4;1;1;w przystępnej cenie
+1171;5;0;0;Prezentowany produkt
+1171;6;0;1;Prezentowany produkt jest w przystępnej cenie .
+144;3;1;1;bardzo fajny
+144;4;0;0;Stanik ten
+144;5;0;0;Stanik ten jest bardzo fajny .
+497;1;0;0;- aldehydowy
+497;3;0;0;kwiatowo - aldehydowy
+497;4;0;1;bardzo mocny
+497;5;0;0;bardzo mocny kwiatowo - aldehydowy zapach
+497;6;0;0;to bardzo mocny kwiatowo - aldehydowy zapach
+497;9;0;0;Piątka " to bardzo mocny kwiatowo - aldehydowy zapach
+497;10;0;0;" Piątka " to bardzo mocny kwiatowo - aldehydowy zapach .
+374;3;0;0;ok .
+374;4;0;-1;wypadkach drogowych
+374;9;0;0;ok . 40 mln
+374;10;0;0;w wypadkach drogowych
+374;11;0;0;ponad milion osób
+374;12;0;0;na świecie
+374;15;0;0;ok . 40 mln odnosi rany
+374;17;0;-1;Rocznie na świecie ponad milion osób ginie w wypadkach drogowych
+374;18;0;0;Rocznie na świecie ponad milion osób ginie w wypadkach drogowych , a ok . 40 mln odnosi rany .
+758;2;0;0;dużych , ciężkich
+758;3;0;0;dużych , ciężkich piersiach
+758;5;0;0;przy dużych , ciężkich piersiach
+758;6;0;0;Odpada przy dużych , ciężkich piersiach .
+937;1;0;1;z diabłem
+937;3;-1;0;przyjacielskiej pogawędce z diabłem
+937;4;0;0;w przyjacielskiej pogawędce z diabłem
+937;7;0;1;pogrążonego w przyjacielskiej pogawędce z diabłem
+937;8;0;0;proste , długie
+937;9;0;0;człowieka pogrążonego w przyjacielskiej pogawędce z diabłem
+937;10;0;0;proste , długie szaty
+937;12;0;0;na człowieka pogrążonego w przyjacielskiej pogawędce z diabłem
+937;16;0;0;w proste , długie szaty
+937;17;0;0;lewej stronie
+937;18;0;0;, którzy wskazują palcem na człowieka pogrążonego w przyjacielskiej pogawędce z diabłem
+937;19;0;0;ubranych w proste , długie szaty
+937;20;0;0;po lewej stronie
+937;22;0;0;ludzi ubranych w proste , długie szaty , którzy wskazują palcem na człowieka pogrążonego w przyjacielskiej pogawędce z diabłem
+937;23;0;0;stojącą po lewej stronie
+937;24;0;0;tej rycinie
+937;26;0;0;stojącą po lewej stronie grupkę ludzi ubranych w proste , długie szaty , którzy wskazują palcem na człowieka pogrążonego w przyjacielskiej pogawędce z diabłem
+937;27;0;0;na tej rycinie
+937;28;0;0;Widzę na tej rycinie stojącą po lewej stronie grupkę ludzi ubranych w proste , długie szaty , którzy wskazują palcem na człowieka pogrążonego w przyjacielskiej pogawędce z diabłem .
+511;6;0;0;mamy , żony , córki czy wnuczki
+511;7;0;0;dla mamy , żony , córki czy wnuczki
+511;8;0;0;prezent dla mamy , żony , córki czy wnuczki
+511;10;0;0;na prezent dla mamy , żony , córki czy wnuczki
+511;11;1;1;Polecam na prezent dla mamy , żony , córki czy wnuczki .
+85;1;1;1;naprawdę cudowny
+85;3;1;1;naprawdę cudowny biustonosz
+85;5;0;0;Jest to naprawdę cudowny biustonosz .
+201;2;1;0;pewnej siebie kobiety
+201;4;1;0;dojrzałej oraz pewnej siebie kobiety
+201;7;1;1;dla dojrzałej oraz pewnej siebie kobiety
+201;8;0;0;Perfum dla dojrzałej oraz pewnej siebie kobiety ! !
+900;1;1;1;godny polecenia
+900;4;1;1;zapach godny polecenia
+900;5;0;0;Według mnie
+900;6;0;1;Według mnie to zapach godny polecenia .
+387;1;0;0;projektantów Domenico
+387;3;0;0;włoski zespół projektantów Domenico
+387;5;0;0;przez włoski zespół projektantów Domenico
+387;7;0;1;oczywiście tradycyjnym
+387;9;0;0;stworzony przez włoski zespół projektantów Domenico
+387;10;0;0;oczywiście tradycyjnym śródziemnomorskim stylem
+387;15;0;0;Stefano Gabbana
+387;16;0;0;stworzony przez włoski zespół projektantów Domenico Dolce
+387;17;1;0;przepełniony pożądaniem , luksusem i oczywiście tradycyjnym śródziemnomorskim stylem
+387;19;0;0;stworzony przez włoski zespół projektantów Domenico Dolce i Stefano Gabbana
+387;23;1;0;całkiem nowy zapach stworzony przez włoski zespół projektantów Domenico Dolce i Stefano Gabbana , przepełniony pożądaniem , luksusem i oczywiście tradycyjnym śródziemnomorskim stylem
+387;26;0;0;The One to całkiem nowy zapach stworzony przez włoski zespół projektantów Domenico Dolce i Stefano Gabbana , przepełniony pożądaniem , luksusem i oczywiście tradycyjnym śródziemnomorskim stylem .
+214;2;0;0;do figury
+214;4;0;0;dopasowuje się do figury .
+214;6;0;0;, dopasowuje się do figury .
+214;7;1;1;Bardzo dobrze
+214;8;0;1;Bardzo dobrze leży , dopasowuje się do figury .
+668;2;0;0;młodą koleżankę
+668;3;-1;0;lekkim wyrzutem
+668;5;0;1;na młodą koleżankę
+668;6;0;0;z lekkim wyrzutem
+668;9;0;0;– Joanna z lekkim wyrzutem spojrzała na młodą koleżankę .
+509;2;0;1;kobiet romantycznych
+509;3;0;0;Dla kobiet romantycznych .
+507;4;0;0;gładkie wymagające sukienki wieczorowe
+507;5;0;0;na codzień
+507;6;0;0;pod gładkie wymagające sukienki wieczorowe
+507;10;0;0;i na codzień
+507;12;1;1;Rewelacyjnie sprawdza się pod gładkie wymagające sukienki wieczorowe
+507;13;0;0;Rewelacyjnie sprawdza się pod gładkie wymagające sukienki wieczorowe , ale i na codzień .
+567;2;0;1;bardzo intensywny
+567;3;1;0;bardzo intensywny , zmysłowy
+567;5;1;1;bardzo intensywny , zmysłowy zapach
+567;7;0;0;Perfumy mają bardzo intensywny , zmysłowy zapach .
+1052;1;0;0;przez carat
+1052;4;0;0;podbite i uciemiężone przez carat
+1052;7;0;0;narody podbite i uciemiężone przez carat
+1052;9;0;0;Sztandar bojowy
+1052;10;0;0;Sztandar bojowy podniosły także narody podbite i uciemiężone przez carat .
+1048;1;0;0;ten zapach
+1048;3;0;0;wprost ten zapach
+1048;4;1;1;Uwielbiam wprost ten zapach .
+1098;2;0;0;wszystkim panią
+1098;4;1;1;Polecam je wszystkim panią .
+875;1;0;0;przez co
+875;2;0;0;duża przez co
+875;3;-1;-1;za duża przez co
+875;4;-1;0;trochę za duża przez co
+875;6;-1;-1;zakrętka trochę za duża przez co
+875;10;0;0;do torebki
+875;13;0;0;Ciekawa buteleczka , zakrętka trochę za duża przez co
+875;14;0;0;Ciekawa buteleczka , zakrętka trochę za duża przez co nie mieści się do torebki .
+70;2;0;0;w porządku
+70;6;0;0;. .
+70;7;0;0;, że jest w porządku
+70;9;0;0;ją tknąć
+70;13;0;0;. . .
+70;14;0;0;mnie uspokoiła , że jest w porządku
+70;16;0;0;Nawet bał em się ją tknąć
+70;17;0;0;Nawet bał em się ją tknąć , ale mnie uspokoiła , że jest w porządku . . .
+1138;3;1;0;ergonomiczny kształt flakoniku
+1138;4;1;1;bardzo ładny
+1138;6;1;1;bardzo ładny i ergonomiczny kształt flakoniku
+1138;8;0;0;Mają również bardzo ładny i ergonomiczny kształt flakoniku .
+760;2;0;0;romantyczną kolację
+760;4;0;0;Nawet na romantyczną kolację .
+856;4;0;0;podnosi biust
+856;5;1;1;Biustonosz ładnie wygląda
+856;6;0;0;Biustonosz ładnie wygląda i podnosi biust .
+211;1;0;0;każdego mężczyzny
+211;2;0;0;dla każdego mężczyzny
+211;4;1;1;odpowiednia dla każdego mężczyzny
+211;6;0;0;Nuta zapachowa odpowiednia dla każdego mężczyzny .
+805;2;1;1;dojrzałą klasyką
+805;3;1;1;dojrzałą klasyką i elegancją
+805;5;1;1;z dojrzałą klasyką i elegancją
+805;9;0;0;Dune kojarzy mi się z dojrzałą klasyką i elegancją .
+37;2;0;0;Konrad Cyganeria
+37;4;1;1;bardzo efektowny
+37;5;0;0;Biustonosz Konrad Cyganeria
+37;7;1;0;niesamowicie sexowny
+37;8;1;0;Biustonosz Konrad Cyganeria jest bardzo efektowny
+37;9;0;0;Biustonosz Konrad Cyganeria jest bardzo efektowny i niesamowicie sexowny .
+198;3;0;0;dramatyczną decyzją Beatki
+198;4;-1;-1;doznaną porażką
+198;5;0;0;doznaną porażką i dramatyczną decyzją Beatki
+198;7;0;0;z doznaną porażką i dramatyczną decyzją Beatki
+198;8;0;0;kilka minut
+198;11;0;0;uporać z doznaną porażką i dramatyczną decyzją Beatki
+198;13;0;0;Jeszcze przez kilka minut
+198;14;0;0;Jeszcze przez kilka minut starali się uporać z doznaną porażką i dramatyczną decyzją Beatki .
+156;1;0;0;zamachu terrorystycznym
+156;4;0;0;w zamachu terrorystycznym
+156;7;0;0;życia publicznego
+156;9;0;-1;, który zginął w zamachu terrorystycznym ,
+156;11;0;0;wszystkich dziedzinach życia publicznego
+156;13;0;0;Aleksandra II , który zginął w zamachu terrorystycznym ,
+156;15;0;0;we wszystkich dziedzinach życia publicznego
+156;16;0;0;polityki represyjnej
+156;18;-1;-1;śmierci Aleksandra II , który zginął w zamachu terrorystycznym ,
+156;19;0;0;zaborze rosyjskim
+156;21;0;0;gwałtowne zaostrzenie polityki represyjnej we wszystkich dziedzinach życia publicznego
+156;22;0;0;po śmierci Aleksandra II , który zginął w zamachu terrorystycznym ,
+156;23;0;0;W zaborze rosyjskim
+156;24;0;0;W zaborze rosyjskim po śmierci Aleksandra II , który zginął w zamachu terrorystycznym , nastąpiło gwałtowne zaostrzenie polityki represyjnej we wszystkich dziedzinach życia publicznego .
+1060;2;1;1;Dobrze wyprofilowana
+1060;3;0;0;Dobrze wyprofilowana butelka .
+1149;1;0;0;w błoto
+1149;2;-1;0;wyrzucone w błoto
+1149;4;-1;0;pieniądze wyrzucone w błoto
+1149;7;0;0;Nie były to pieniądze wyrzucone w błoto .
+1137;3;1;1;bardzo dobrze
+1137;4;0;0;Poza tym
+1137;6;0;0;podkreśla piersi
+1137;7;1;1;Poza tym bardzo dobrze leży
+1137;8;0;0;Poza tym bardzo dobrze leży i podkreśla piersi .
+503;1;0;0;rozmiarów miseczki
+503;4;0;0;pełną gamę rozmiarów miseczki
+503;6;0;0;Stanik ma pełną gamę rozmiarów miseczki .
+854;4;0;0;kto je przygarnie
+854;5;0;0;na kogoś
+854;6;0;0;na półeczce
+854;11;0;0;czekają na kogoś kto je przygarnie
+854;12;0;0;Perfumy leżą sobie spokojnie na półeczce
+854;13;0;0;Perfumy leżą sobie spokojnie na półeczce i czekają na kogoś kto je przygarnie .
+367;1;0;0;każdego rodzaju
+367;3;0;0;na każdego rodzaju
+367;7;1;1;świetny wybór na każdego rodzaju prezent
+367;8;0;0;Lacoste Essential
+367;9;0;0;Lacoste Essential to świetny wybór na każdego rodzaju prezent .
+138;3;0;0;w sklepie
+138;5;0;0;by m
+138;7;0;0;by m
+138;8;0;0;zobaczyła by m go w sklepie
+138;10;0;0;zobaczyła by m go w sklepie kupiła by m sobie
+138;11;0;0;na pewno
+138;12;0;0;na pewno jak zobaczyła by m go w sklepie kupiła by m sobie
+138;14;1;1;przepiękny i na pewno jak zobaczyła by m go w sklepie kupiła by m sobie
+138;16;1;0;wyszyty jest przepiękny i na pewno jak zobaczyła by m go w sklepie kupiła by m sobie
+138;20;1;0;, którym jest wyszyty jest przepiękny i na pewno jak zobaczyła by m go w sklepie kupiła by m sobie
+138;21;0;0;Haft , którym jest wyszyty jest przepiękny i na pewno jak zobaczyła by m go w sklepie kupiła by m sobie .
+627;1;0;0;odrobiną słodyczy
+627;4;0;0;, z odrobiną słodyczy
+627;5;0;0;Wyrazisty , z odrobiną słodyczy .
+38;1;0;0;płaskich kobiet
+38;4;0;0;dla płaskich kobiet
+38;6;1;0;Fajna sprawa
+38;7;0;0;Fajna sprawa , ale dla płaskich kobiet .
+412;7;0;0;konkretne , praktyczne i pożyteczne
+412;11;0;0;uznanie i poparcie
+412;12;0;1;Twoje inicjatywy , konkretne , praktyczne i pożyteczne ,
+412;13;0;0;Twoje inicjatywy , konkretne , praktyczne i pożyteczne , zyskają uznanie i poparcie .
+1184;1;0;0;rzadko widywanych
+1184;2;0;1;rzadko widywanych bliskich
+1184;4;0;0;na rzadko widywanych bliskich
+1184;5;0;1;odpowiedniego wrażenia
+1184;6;0;0;zrobić odpowiedniego wrażenia na rzadko widywanych bliskich
+1184;12;0;0;, że nie uda się im zrobić odpowiedniego wrażenia na rzadko widywanych bliskich
+1184;14;0;0;obawa , że nie uda się im zrobić odpowiedniego wrażenia na rzadko widywanych bliskich
+1184;16;0;0;małej wartości
+1184;19;0;0;poczucie małej wartości , obawa , że nie uda się im zrobić odpowiedniego wrażenia na rzadko widywanych bliskich
+1184;21;0;0;Coraz częściej
+1184;22;0;0;Coraz częściej ludzi trapi poczucie małej wartości , obawa , że nie uda się im zrobić odpowiedniego wrażenia na rzadko widywanych bliskich .
+91;2;0;0;na to
+91;3;0;0;cały zakryty
+91;6;0;0;względu na to
+91;7;0;0;, że jest cały zakryty
+91;8;0;0;ze względu na to
+91;10;0;0;duże , ze względu na to , że jest cały zakryty
+91;12;0;0;nawet te duże , ze względu na to , że jest cały zakryty
+91;14;0;0;, nawet te duże , ze względu na to , że jest cały zakryty
+91;18;0;0;Ponadto dobrze podtrzymuje piersi , nawet te duże , ze względu na to , że jest cały zakryty .
+1115;3;0;0;, które dodadzą tajmeniczości
+1115;7;0;1;urocze hafty , które dodadzą tajmeniczości
+1115;9;0;0;Wkoło biustu
+1115;11;1;0;zaintrygują partnera
+1115;12;0;1;Wkoło biustu widnieją także urocze hafty , które dodadzą tajmeniczości
+1115;13;0;0;Wkoło biustu widnieją także urocze hafty , które dodadzą tajmeniczości i zaintrygują partnera .
+1136;2;1;1;warty kupienia
+1136;3;0;0;dość drogi
+1136;6;1;1;naprawdę warty kupienia
+1136;7;0;0;Biustonosz jest dość drogi
+1136;8;0;0;Biustonosz jest dość drogi ale naprawdę warty kupienia .
+689;2;0;0;oryginalny flakonik
+689;3;0;0;Ma oryginalny flakonik .
+801;1;0;0;klasycznej wersji
+801;6;0;0;od klasycznej wersji
+801;9;0;0;Ta wersja zapachu
+801;10;0;-1;Ta wersja zapachu znacznie różni się od klasycznej wersji no .
+500;1;0;0;kurs dolara
+500;5;0;0;, która winduje kurs dolara
+500;6;0;0;gospodarki amerykańskiej
+500;8;0;0;doskonałej kondycji gospodarki amerykańskiej , która winduje kurs dolara
+500;12;0;0;o doskonałej kondycji gospodarki amerykańskiej , która winduje kurs dolara
+500;13;0;0;przede wszystkim
+500;14;0;0;Specjaliści Paribas
+500;15;0;0;Specjaliści Paribas mówią przede wszystkim o doskonałej kondycji gospodarki amerykańskiej , która winduje kurs dolara .
+1118;10;0;0;, że się robi nam chłodno
+1118;11;0;0;nie widzą wszyscy
+1118;12;1;1;Sukienka też lepiej leży
+1118;14;1;0;Sukienka też lepiej leży i nie widzą wszyscy , że się robi nam chłodno
+1118;15;0;0;Sukienka też lepiej leży i nie widzą wszyscy , że się robi nam chłodno ; )
+52;1;0;0;rynku światowym
+52;2;0;0;na rynku światowym
+52;5;1;1;najlepszych wód toaletowych na rynku światowym
+52;7;1;1;z najlepszych wód toaletowych na rynku światowym
+52;8;0;0;dolce Gabbana
+52;10;1;1;jedną z najlepszych wód toaletowych na rynku światowym
+52;11;0;0;Woda dolce Gabbana
+52;12;0;1;Woda dolce Gabbana jest jedną z najlepszych wód toaletowych na rynku światowym .
+441;1;0;0;do zajączka
+441;5;1;1;miłość do zajączka
+441;8;0;0;miłość do zajączka Kamil przypłacił by życiem
+441;10;0;0;Mało brakowało
+441;11;0;0;Mało brakowało , a miłość do zajączka Kamil przypłacił by życiem .
+1070;4;1;0;nie pomagać biednym .
+1070;5;0;0;W Polsce
+1070;6;0;1;W Polsce lepiej nie pomagać biednym .
+749;1;1;1;przyjemnego materiału
+749;4;1;1;, z przyjemnego materiału
+749;8;1;0;) Stanik jest usztywniany , z przyjemnego materiału .
+749;9;1;0;: ) Stanik jest usztywniany , z przyjemnego materiału .
+749;10;1;0;wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;14;1;0;wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;17;0;0;niego gąbeczki
+749;18;1;0;niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;20;1;0;do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;21;0;0;załączone są
+749;22;1;0;push-up załączone są do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;23;1;0;to push-up załączone są do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;24;1;0;że to push-up załączone są do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;25;1;0;, że to push-up załączone są do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;26;0;0;Jako , że to push-up załączone są do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+164;1;0;0;tego modelu
+164;2;0;0;z tego modelu
+164;3;0;0;lato z tego modelu
+164;5;0;0;na lato z tego modelu
+164;8;0;0;dużej miseczce
+164;10;1;1;jakieś fajne kolorki na lato z tego modelu
+164;11;0;0;o dużej miseczce
+164;12;1;1;wypuści jakieś fajne kolorki na lato z tego modelu no
+164;13;1;0;wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce
+164;16;0;0;moze gaia wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce
+164;17;0;0;moze gaia wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce ; p
+446;2;0;0;toalet-wobec tego
+446;6;0;0;podobnym zapachu
+446;7;0;0;do toalet-wobec tego
+446;8;1;0;rewelacyjna , odświeżająca
+446;9;0;0;dla mnie
+446;10;0;1;o podobnym zapachu
+446;12;0;0;odświeżacza do toalet-wobec tego
+446;13;1;1;dla mnie rewelacyjna , odświeżająca woda
+446;16;0;0;stworzenie odświeżacza o podobnym zapachu
+446;17;0;0;do odświeżacza do toalet-wobec tego
+446;19;1;0;stworzenie odświeżacza o podobnym zapachu : ) Jak dla mnie rewelacyjna , odświeżająca woda
+446;20;0;0;te wodę do odświeżacza do toalet-wobec tego
+446;24;1;0;o stworzenie odświeżacza o podobnym zapachu : ) Jak dla mnie rewelacyjna , odświeżająca woda
+446;26;0;0;Opinia poniżej porównuje te wodę do odświeżacza do toalet-wobec tego
+446;27;0;0;Opinia poniżej porównuje te wodę do odświeżacza do toalet-wobec tego ja poproszę o stworzenie odświeżacza o podobnym zapachu : ) Jak dla mnie rewelacyjna , odświeżająca woda .
+492;2;0;0;wakacyjny , letni
+492;3;0;0;wakacyjny , letni zapach
+492;5;0;1;na wakacyjny , letni zapach
+492;7;0;1;Fajny pomysł na wakacyjny , letni zapach .
+375;1;0;0;dla kobiety
+375;2;0;0;prezent dla kobiety
+375;4;0;0;na prezent dla kobiety
+375;6;1;1;Bardzo polecam na prezent dla kobiety .
+1131;2;0;0;z pozoru
+1131;4;-1;0;tragicznie wyglądający
+1131;5;0;0;Taki z pozoru
+1131;7;1;1;bardzo praktyczny
+1131;8;-1;0;Taki z pozoru tragicznie wyglądający biustonosz
+1131;9;0;0;Taki z pozoru tragicznie wyglądający biustonosz jest bardzo praktyczny .
+682;4;0;0;zdecydowanej męskiej nuty
+682;7;1;1;swoistej klasy
+682;8;1;0;swoistej klasy , charakteru , zdecydowanej męskiej nuty .
+682;10;0;0;w nim swoistej klasy , charakteru , zdecydowanej męskiej nuty .
+682;11;-1;0;Brak w nim swoistej klasy , charakteru , zdecydowanej męskiej nuty .
+102;2;0;0;z tiulu
+102;4;0;0;ozdobną tasiemką
+102;5;0;0;wykonany z tiulu
+102;7;0;0;Jest wykonany z tiulu wykończony ozdobną tasiemką .
+557;2;0;0;na wieczór
+557;3;1;1;Idealny na wieczór .
+776;1;0;0;dzięki feminizmowi
+776;2;1;1;dzięki feminizmowi szczęśliwsza
+776;7;0;1;, czy jestem dzięki feminizmowi szczęśliwsza
+776;9;0;0;Kilka osób
+776;10;0;0;Kilka osób spytało mnie , czy jestem dzięki feminizmowi szczęśliwsza .
+1158;1;0;0;z antyperspirantem
+1158;2;0;0;zestawach z antyperspirantem
+1158;3;0;0;w zestawach z antyperspirantem
+1158;7;0;0;często w zestawach z antyperspirantem
+1158;8;0;0;ceny ,
+1158;9;0;0;Różnorodne pojemności
+1158;10;0;0;Różnorodne pojemności i ceny , często w zestawach z antyperspirantem .
+558;3;1;1;wspaniale podkreśla
+558;4;0;0;unosi go
+558;5;0;0;biust kobiety
+558;8;1;1;unosi go i wspaniale podkreśla
+558;9;1;1;Świetnie kształtuje biust kobiety
+558;10;0;0;Świetnie kształtuje biust kobiety , unosi go i wspaniale podkreśla .
+15;2;1;1;wyjątkowy klimat
+15;3;0;0;Ma wyjątkowy klimat .
+400;2;0;0;takim wiosennym porankiem
+400;4;0;0;z takim wiosennym porankiem
+400;8;0;0;Mi osobiście kojarzą się z takim wiosennym porankiem .
+1126;1;1;1;atrakcyjnej kolorystyce
+1126;3;1;1;w atrakcyjnej kolorystyce
+1126;4;0;1;Wykonany w atrakcyjnej kolorystyce .
+533;1;0;0;w dotyku
+533;3;1;1;przyjemny w dotyku
+533;5;0;1;Gładki i przyjemny w dotyku .
+491;1;0;0;całego dnia
+491;2;0;0;ciągu całego dnia
+491;5;0;0;w ciągu całego dnia
+491;6;0;0;również po goleniu
+491;7;0;0;służyć w ciągu całego dnia
+491;9;0;0;służyć w ciągu całego dnia jak również po goleniu
+491;10;0;0;Może służyć w ciągu całego dnia jak również po goleniu .
+734;2;0;0;nie części oszczędności
+734;3;0;0;na nie części oszczędności
+734;5;0;0;wydanie na nie części oszczędności
+734;8;0;0;z pewnością
+734;9;0;0;na wydanie na nie części oszczędności
+734;14;1;1;z pewnością się nie zawiedzie
+734;15;0;0;ktoś już zdecyduje się na wydanie na nie części oszczędności
+734;17;0;0;Jeżeli ktoś już zdecyduje się na wydanie na nie części oszczędności , z pewnością się nie zawiedzie .
+224;1;-1;0;oszpecić suknię
+224;4;-1;0;, które mogły oszpecić suknię
+224;7;-1;0;twarde miseczki , które mogły oszpecić suknię
+224;8;0;0;ze względu
+224;10;-1;0;na twarde miseczki , które mogły oszpecić suknię
+224;11;0;0;jedynie ze względu
+224;16;0;0;Ja nie zdecydowała m się jedynie ze względu na twarde miseczki , które mogły oszpecić suknię .
+666;1;0;0;2008 roku
+666;2;0;0;z 2008 roku
+666;4;1;1;najlepszych produktów z 2008 roku
+666;6;1;1;z najlepszych produktów z 2008 roku
+666;8;0;0;Zdecydowanie jeden z najlepszych produktów z 2008 roku .
+548;1;0;0;na Śląsku
+548;3;0;0;Chorzowie na Śląsku
+548;4;0;0;65-letniego mężczyznę
+548;5;0;0;w Chorzowie na Śląsku
+548;6;0;0;przez 65-letniego mężczyznę
+548;9;-1;0;porwana wczoraj przez 65-letniego mężczyznę w Chorzowie na Śląsku
+548;15;0;0;Pięcioletnia dziewczynka , porwana wczoraj przez 65-letniego mężczyznę w Chorzowie na Śląsku ,
+548;16;0;0;Pięcioletnia dziewczynka , porwana wczoraj przez 65-letniego mężczyznę w Chorzowie na Śląsku , odzyskała wieczorem przytomność .
+323;1;0;0;koszule wizytowe
+323;3;0;0;pod koszule wizytowe
+323;5;1;1;Polecam szczególnie pod koszule wizytowe .
+290;3;0;0;kolor flakony
+290;4;1;1;Ciekawy kształt
+290;6;0;0;uwagę kupującego
+290;8;1;1;Ciekawy kształt i kolor flakony
+290;9;0;0;Ciekawy kształt i kolor flakony zdecydowanie przyciąga uwagę kupującego .
+376;2;0;0;tym wypadku
+376;4;0;1;najczulszym instrumentem
+376;5;0;0;w tym wypadku
+376;7;0;0;Sen w tym wypadku jest najczulszym instrumentem .
+890;1;0;1;pewnych zasad
+890;3;0;1;według pewnych zasad
+890;5;0;0;życia społecznego
+890;7;0;0;organizowania go według pewnych zasad
+890;8;0;0;harmonijnego ułożenia życia społecznego
+890;9;0;1;harmonijnego ułożenia życia społecznego i organizowania go według pewnych zasad
+890;11;0;1;sposób harmonijnego ułożenia życia społecznego i organizowania go według pewnych zasad
+890;13;0;0;Republika to sposób harmonijnego ułożenia życia społecznego i organizowania go według pewnych zasad .
+1155;1;0;0;świecie perfum
+1155;2;0;0;w świecie perfum
+1155;6;1;0;uznaną markę w świecie perfum
+1155;7;0;0;Firma ta
+1155;8;0;0;Firma ta ma uznaną markę w świecie perfum .
+283;1;-1;1;niezbyt ładny
+283;3;-1;1;flakonik niezbyt ładny
+283;4;0;1;Jedynie flakonik niezbyt ładny .
+1073;2;1;1;bardzo fajna
+1073;3;0;0;Biustonosz koktailowy
+1073;5;1;1;bardzo fajna nowość
+1073;6;0;0;Gorsenia Biustonosz koktailowy
+1073;7;0;1;Gorsenia Biustonosz koktailowy to bardzo fajna nowość .
+1116;4;-1;1;najgorszy biustonosz jaki
+1116;5;0;0;mi się nosić
+1116;6;-1;1;najgorszy biustonosz jaki zdarzyło
+1116;7;-1;0;to najgorszy biustonosz jaki zdarzyło mi się nosić
+1116;10;-1;0;, że to najgorszy biustonosz jaki zdarzyło mi się nosić
+1116;11;0;0;Uważam , że to najgorszy biustonosz jaki zdarzyło mi się nosić .
+194;1;1;1;bardzo ekskluzywny
+194;3;1;1;bardzo ekskluzywny produkt
+194;5;0;0;Jest to bardzo ekskluzywny produkt .
+1037;2;0;0;- np
+1037;3;0;0;wieczorne wyjścia
+1037;5;0;0;codzień - np
+1037;7;0;0;na wieczorne wyjścia
+1037;8;0;0;także na codzień - np .
+1037;10;1;1;Idealne na wieczorne wyjścia
+1037;11;0;0;Idealne na wieczorne wyjścia , a także na codzień - np .
+1006;1;0;0;lodowatej wodzie
+1006;2;0;0;w lodowatej wodzie
+1006;5;0;0;przeżycie w lodowatej wodzie
+1006;6;0;0;poszukiwanych osób
+1006;7;0;0;od katastrofy
+1006;10;0;0;na przeżycie w lodowatej wodzie
+1006;11;0;0;z poszukiwanych osób
+1006;12;0;0;ponad 30 godzinach od katastrofy
+1006;14;0;1;szans na przeżycie w lodowatej wodzie
+1006;16;0;0;żadna z poszukiwanych osób
+1006;17;0;0;Po ponad 30 godzinach od katastrofy
+1006;18;0;0;Po ponad 30 godzinach od katastrofy żadna z poszukiwanych osób nie ma szans na przeżycie w lodowatej wodzie .
+886;4;0;0;bardzo lekki
+886;5;1;1;fajny męski
+886;6;0;0;Ta woda toaletowa
+886;8;0;-1;bardzo lekki zapach
+886;10;1;1;Ta woda toaletowa ma fajny męski
+886;11;0;0;Ta woda toaletowa ma fajny męski , ale bardzo lekki zapach .
+1140;3;0;0;Nazwa zapachu myląca .
+69;1;0;0;do gustu
+69;3;1;0;przypaść do gustu
+69;4;-1;0;nie każdemu
+69;7;0;0;, że nie każdemu może przypaść do gustu
+69;8;0;0;wiadomo , że nie każdemu może przypaść do gustu
+69;11;0;1;rewelacyjna , ale wiadomo , że nie każdemu może przypaść do gustu
+69;15;0;0;po prostu rewelacyjna , ale wiadomo , że nie każdemu może przypaść do gustu
+69;16;0;0;Nuta zapachowa
+69;17;0;0;Nuta zapachowa jest po prostu rewelacyjna , ale wiadomo , że nie każdemu może przypaść do gustu .
+98;2;0;0;na lato
+98;6;0;0;lekki , przyjemny , na lato .
+711;1;0;0;wywołuje liczne
+711;3;0;0;otoczeniu i wywołuje liczne
+711;4;0;0;w otoczeniu i wywołuje liczne
+711;5;0;0;ludzi w otoczeniu i wywołuje liczne
+711;7;0;0;uwagę ludzi w otoczeniu i wywołuje liczne
+711;8;1;1;przyjemne komentarze
+711;10;0;0;Zwraca uwagę ludzi w otoczeniu i wywołuje liczne
+711;12;1;0;Zwraca uwagę ludzi w otoczeniu i wywołuje liczne , choć przyjemne komentarze
+711;13;0;0;Zwraca uwagę ludzi w otoczeniu i wywołuje liczne , choć przyjemne komentarze : )
+478;1;0;0;cały dzień
+478;4;0;0;na cały dzień
+478;5;0;0;Kilka kropli
+478;6;1;1;Kilka kropli wystarcza na cały dzień .
+656;1;0;0;obrocie gospodarczym
+656;4;0;0;w obrocie gospodarczym
+656;7;0;0;z Barda
+656;9;0;0;, że w obrocie gospodarczym brakuje pieniędzy
+656;10;0;0;Przedsiębiorcę z Barda
+656;11;-1;-1;Przedsiębiorcę z Barda niepokoi , że w obrocie gospodarczym brakuje pieniędzy .
+653;2;0;0;z kokardką
+653;3;1;1;też niepowtarzalny
+653;7;1;1;flakonik też niepowtarzalny z kokardką
+653;9;1;0;. flakonik też niepowtarzalny z kokardką kojarzy się bardzo dziwczęco
+653;10;0;0;. . flakonik też niepowtarzalny z kokardką kojarzy się bardzo dziwczęco
+686;1;0;0;w wozowni
+686;3;0;0;kuchni i w wozowni
+686;7;0;0;jedynie w kuchni i w wozowni
+686;8;0;0;to modne urządzenie
+686;11;0;1;zainstalować to modne urządzenie jedynie w kuchni i w wozowni
+686;12;0;1;U siebie
+686;13;0;1;U siebie pozwolił zainstalować to modne urządzenie jedynie w kuchni i w wozowni .
+1055;3;0;0;nie każdemu
+1055;4;0;0;bardzo mocny
+1055;6;0;0;Klein Eternity
+1055;8;0;0;bardzo mocny , nie każdemu
+1055;9;0;1;zapach kwiatowy
+1055;10;0;0;Calvin Klein Eternity
+1055;12;0;1;bardzo mocny , nie każdemu spodoba się
+1055;14;0;0;Calvin Klein Eternity to zapach kwiatowy
+1055;15;0;0;Calvin Klein Eternity to zapach kwiatowy , ale bardzo mocny , nie każdemu spodoba się .
+61;2;0;0;w nim
+61;8;0;0;wcale nie czuć w nim alkoholu
+61;10;0;0;do tego
+61;13;1;0;Zapach super ,
+61;15;0;0;do tego wcale a wcale nie czuć w nim alkoholu
+61;17;0;0;mega owocowy
+61;19;1;1;) Zapach super , baaardzo trwały
+61;24;1;0;) Zapach super , baaardzo trwały , mega owocowy , a do tego wcale a wcale nie czuć w nim alkoholu
+61;25;0;0;Tytuł chyba mówi wszystko
+61;26;0;0;Tytuł chyba mówi wszystko ; ) Zapach super , baaardzo trwały , mega owocowy , a do tego wcale a wcale nie czuć w nim alkoholu .
+1018;1;-1;0;dość wygórowanej
+1018;4;-1;0;swej dość wygórowanej ceny
+1018;5;0;1;Blue wart
+1018;6;0;1;Blue wart jest swej dość wygórowanej ceny
+1018;7;0;1;Light Blue wart jest swej dość wygórowanej ceny
+1018;9;0;1;Sądzę Light Blue wart jest swej dość wygórowanej ceny
+1018;10;0;1;Sądzę że Light Blue wart jest swej dość wygórowanej ceny .
+1156;2;0;0;tylko w użyciu
+1156;5;0;0;nie tylko w użyciu
+1156;6;1;1;Woda dobra
+1156;7;0;0;Woda dobra jest nie tylko w użyciu .
+1050;3;0;1;duże koronki
+1050;4;1;1;przez śliczne
+1050;6;0;0;Wyeksponowany biust
+1050;8;0;0;dosyć duże koronki
+1050;9;1;1;Wyeksponowany biust kusząco prześwituje przez śliczne
+1050;10;0;0;Wyeksponowany biust kusząco prześwituje przez śliczne , dosyć duże koronki .
+420;1;0;0;tego zapachu
+420;3;0;1;do tego zapachu
+420;6;1;1;Opakowanie doskonale pasuje do tego zapachu .
+646;1;0;0;cały dzień
+646;2;0;0;przez cały dzień
+646;3;0;0;mi przez cały dzień
+646;4;0;0;towarzyszy mi przez cały dzień
+646;5;0;0;, towarzyszy mi przez cały dzień
+646;8;0;0;I czuję , towarzyszy mi przez cały dzień
+646;9;0;0;I czuję , że towarzyszy mi przez cały dzień .
+763;1;-1;0;pozbawioną rozumu
+763;3;0;-1;głupią albo pozbawioną rozumu
+763;9;0;0;, aby ś nazywał mnie głupią albo pozbawioną rozumu
+763;13;0;0;Ale zdecydowanie nie pozwalam , aby ś nazywał mnie głupią albo pozbawioną rozumu .
+353;3;0;0;dość natarczywą
+353;4;0;0;swą intensywnością
+353;6;0;0;Na co
+353;8;0;0;dość natarczywą zmysłowością
+353;9;0;1;Na co dzień przytłacza swą intensywnością
+353;10;0;0;Na co dzień przytłacza swą intensywnością i dość natarczywą zmysłowością .
+816;3;0;0;Godny swojej ceny .
+272;4;1;0;sporą wartość historyczną
+272;5;0;0;Znalezisko to
+272;6;0;0;Znalezisko to posiada sporą wartość historyczną .
+146;1;0;0;- kwaśny
+146;2;0;0;słodko - kwaśny
+146;3;0;0;- słodko - kwaśny
+146;6;0;0;dość lekki - słodko - kwaśny
+146;7;0;0;Zapach dość lekki - słodko - kwaśny .
+356;2;0;0;taki produkt
+356;3;-1;-1;zbyt wysoka
+356;5;0;-1;za taki produkt
+356;6;-1;-1;Cena zbyt wysoka
+356;7;0;0;Cena zbyt wysoka jak za taki produkt .
+149;2;0;-1;No 5
+149;5;-1;-1;przereklamowany zapach
+149;6;0;1;Chanel No 5
+149;7;0;0;dla mnie
+149;9;0;1;Jak dla mnie Chanel No 5 to przereklamowany zapach .
+716;1;0;0;do ciała
+716;6;0;0;dopasowuje się do ciała
+716;7;1;1;Bardzo dobrze leży
+716;8;0;0;Bardzo dobrze leży i dopasowuje się do ciała .
+813;3;0;0;mojej wrażliwej skóry
+813;5;0;0;przy tym
+813;10;1;1;przy tym nie podrażnia mojej wrażliwej skóry
+813;11;1;0;Sam się odpowiednio układa
+813;12;0;0;Sam się odpowiednio układa a przy tym nie podrażnia mojej wrażliwej skóry .
+307;2;0;0;tych najmłodszych klientów
+307;3;0;0;oczekiwaniom tych najmłodszych klientów
+307;5;0;1;naprzeciw oczekiwaniom tych najmłodszych klientów
+307;6;0;0;z tradycjami
+307;8;0;1;wyjść naprzeciw oczekiwaniom tych najmłodszych klientów
+307;9;0;0;Firma z tradycjami
+307;10;0;0;Firma z tradycjami postanowiła wyjść naprzeciw oczekiwaniom tych najmłodszych klientów .
+120;2;1;1;bardzo estetyczny
+120;4;0;0;Biustonosz jest bardzo estetyczny .
+706;2;0;0;charakterze przedmurza
+706;3;0;0;tyle wieków
+706;5;0;0;w charakterze przedmurza
+706;8;0;0;Przez tyle wieków
+706;9;1;0;Przez tyle wieków pomagali śmy Zachodowi w charakterze przedmurza .
+705;2;0;0;kilku napastników
+705;3;-1;0;Zabili kilku napastników .
+544;2;1;1;wart polecenia
+544;3;0;0;ten stanik
+544;7;1;1;, że ten stanik jest wart polecenia
+544;8;0;0;Uważam , że ten stanik jest wart polecenia .
+170;2;0;1;nie wygórowana
+170;3;0;1;oryginalne perfumy
+170;6;0;-1;być nie wygórowana
+170;9;0;1;za oryginalne perfumy
+170;10;0;0;Cena jak
+170;11;0;0;Cena jak za oryginalne perfumy wydaję mi się być nie wygórowana .
+269;1;0;0;niesienia pomocy
+269;4;0;0;umiejętnością niesienia pomocy
+269;6;0;0;To zwierzę
+269;7;0;1;To zwierzę wyróżnia się umiejętnością niesienia pomocy .
+1108;9;0;0;bardzo specyficzny
+1108;10;1;0;, który mnie osobiście bardzo odpowiada
+1108;11;0;0;bardzo specyficzny , kwiatowy , słodki
+1108;13;1;1;bardzo specyficzny , kwiatowy , słodki zapach , który mnie osobiście bardzo odpowiada
+1108;14;0;0;Ma bardzo specyficzny , kwiatowy , słodki zapach , który mnie osobiście bardzo odpowiada .
+930;2;0;0;sposób aplikacji
+930;4;0;0;na której
+930;6;-1;1;, na której trudno znaleźć sposób aplikacji
+930;8;-1;0;metalowa kula , na której trudno znaleźć sposób aplikacji
+930;11;-1;0;– metalowa kula , na której trudno znaleźć sposób aplikacji
+930;12;0;1;niezwykle oryginalny
+930;13;0;0;pierwszej kolejności
+930;15;0;0;niezwykle oryginalny flakon – metalowa kula , na której trudno znaleźć sposób aplikacji
+930;16;0;0;w pierwszej kolejności
+930;18;0;0;Uwagę zwraca w pierwszej kolejności niezwykle oryginalny flakon – metalowa kula , na której trudno znaleźć sposób aplikacji .
+956;1;1;1;naprawdę przepiękny
+956;2;1;1;to naprawdę przepiękny
+956;3;1;1;J`adore to naprawdę przepiękny
+956;5;1;1;J`adore to naprawdę przepiękny zapach
+956;7;0;1;Christian Dior J`adore to naprawdę przepiękny zapach .
+948;4;0;0;tak jak miłość
+948;5;0;1;namiętny zapach
+948;7;0;1;Bardzo gorący namiętny zapach tak jak miłość .
+770;1;0;1;poszukiwanych produktów
+770;2;0;1;kupno poszukiwanych produktów
+770;4;0;1;na kupno poszukiwanych produktów
+770;6;0;0;zlecenie klientów
+770;7;0;1;najkorzystniejsze oferty na kupno poszukiwanych produktów
+770;8;0;0;na zlecenie klientów
+770;11;0;1;, która na zlecenie klientów wykorzystuje najkorzystniejsze oferty na kupno poszukiwanych produktów
+770;13;0;0;spółka , która na zlecenie klientów wykorzystuje najkorzystniejsze oferty na kupno poszukiwanych produktów
+770;14;0;0;To spółka , która na zlecenie klientów wykorzystuje najkorzystniejsze oferty na kupno poszukiwanych produktów .
+313;1;0;0;tego produktu
+313;2;0;0;z tego produktu
+313;3;1;0;zadowolona z tego produktu
+313;4;1;1;100% zadowolona z tego produktu
+313;7;1;0;w 100% zadowolona z tego produktu
+313;8;0;0;koleżanki mi zazdroszczą
+313;10;1;1;Jestem w 100% zadowolona z tego produktu
+313;12;1;0;Jestem w 100% zadowolona z tego produktu , a koleżanki mi zazdroszczą
+313;13;0;0;Jestem w 100% zadowolona z tego produktu , a koleżanki mi zazdroszczą : )
+728;2;1;1;ładną buteleczkę
+728;5;0;0;Woda ma bardzo ładną buteleczkę .
+566;1;0;0;na skórze
+566;9;1;1;świetnie komponuje się na skórze
+566;10;1;1;Zapach strasznie mi się podoba
+566;11;0;0;Zapach strasznie mi się podoba , świetnie komponuje się na skórze .
+764;1;0;0;z Pragi
+764;5;-1;-1;młodych przestępców z Pragi
+764;6;0;0;wokół siebie
+764;8;0;0;stołecznych policjantów
+764;10;0;0;zgromadzić wokół siebie młodych przestępców z Pragi
+764;13;0;0;Według stołecznych policjantów ,
+764;14;0;0;Według stołecznych policjantów , udało mu się zgromadzić wokół siebie młodych przestępców z Pragi .
+869;1;0;0;nastroszony Buzek
+869;3;0;0;jak nastroszony Buzek
+869;5;0;0;w telewizorze
+869;8;1;1;równie zabawny jak nastroszony Buzek
+869;9;0;0;Nastroszony w telewizorze Biernacki
+869;10;0;0;Nastroszony w telewizorze Biernacki jest równie zabawny jak nastroszony Buzek .
+182;1;0;0;d& g
+182;2;0;0;od d& g
+182;3;1;1;najlepsze od d& g
+182;4;1;1;, najlepsze od d& g
+182;6;1;1;ulubionych perfum , najlepsze od d& g
+182;7;1;1;z ulubionych perfum , najlepsze od d& g
+182;8;1;1;jedne z ulubionych perfum , najlepsze od d& g
+182;10;1;1;moje jedne z ulubionych perfum , najlepsze od d& g
+182;12;0;0;Są to moje jedne z ulubionych perfum , najlepsze od d& g .
+953;2;0;1;silny zapach
+953;3;0;0;Mają silny zapach .
+1114;3;1;1;- śliczny odcień różu
+1114;6;1;1;kobiecy kolor - śliczny odcień różu
+1114;8;0;0;Ma bardzo kobiecy kolor - śliczny odcień różu .
+590;4;0;0;chyba każdemu
+590;7;0;0;chyba każdemu , kto choć raz
+590;8;0;0;pojemnika znany
+590;10;0;0;w perfumerii
+590;12;0;0;raczej design pojemnika znany chyba każdemu , kto choć raz
+590;15;0;0;może raczej design pojemnika znany chyba każdemu , kto choć raz pojawił się w perfumerii
+590;18;0;0;Zapach , a może raczej design pojemnika znany chyba każdemu , kto choć raz pojawił się w perfumerii .
+589;3;0;0;bladymi kolorami
+589;5;-1;0;naprawdę tandetnie
+589;6;0;0;ten biustonosz
+589;9;0;1;z bladymi kolorami
+589;10;-1;0;prosiaczkowy róż
+589;12;-1;1;, że ten biustonosz wygląda naprawdę tandetnie
+589;13;-1;1;prosiaczkowy róż z bladymi kolorami sprawiają
+589;15;0;0;Cukierkowy , prosiaczkowy róż z bladymi kolorami sprawiają , że ten biustonosz wygląda naprawdę tandetnie .
+732;1;0;0;znany produkt
+732;6;0;0;, że jest to znany produkt
+732;7;0;0;Myślę , że jest to znany produkt .
+862;2;0;0;mocno imbirowy
+862;5;0;0;mocno imbirowy , ciężki
+862;6;0;1;- zapach
+862;7;0;0;EDP - zapach mocno imbirowy , ciężki .
+423;2;0;0;zbiorów Jasieńskiego
+423;3;0;0;miłośnika sztuki
+423;5;0;0;dla zbiorów Jasieńskiego
+423;6;0;0;obywatela , miłośnika sztuki
+423;8;0;0;muzeum dla zbiorów Jasieńskiego
+423;10;0;0;naturalnym odruchem obywatela , miłośnika sztuki
+423;11;0;0;Ufundowanie muzeum dla zbiorów Jasieńskiego
+423;12;0;0;Ufundowanie muzeum dla zbiorów Jasieńskiego było naturalnym odruchem obywatela , miłośnika sztuki .
+840;2;0;0;wieczorowych , wydekoltowanych
+840;3;0;0;wieczorowych , wydekoltowanych sukienkach
+840;5;0;0;przy wieczorowych , wydekoltowanych sukienkach
+840;8;0;1;Świetnie się sprawdza przy wieczorowych , wydekoltowanych sukienkach .
+1080;2;1;0;niemęczący zapach
+1080;4;0;0;Ciekawy,\ i niemęczący zapach .
+989;6;0;1;przezroczystą , gładką
+989;8;0;0;ładny kwiatowy motyw który
+989;10;0;0;letnia bluzeczką
+989;11;0;0;pod przezroczystą , gładką
+989;12;1;1;Ma ładny kwiatowy motyw który ciekawie
+989;13;0;1;Ma ładny kwiatowy motyw który ciekawie wygląda pod przezroczystą , gładką letnia bluzeczką .
+843;3;0;0;koszuli i pantofli
+843;5;0;0;Idealne uzupełnienie koszuli i pantofli .
+51;2;0;0;do ciosu
+51;4;0;0;szczyt góry
+51;6;0;0;gotów do ciosu
+51;8;0;0;do ołtarza
+51;9;0;0;na szczyt góry
+51;11;0;-1;Bez sprzeciwu
+51;13;0;0;jest gotów do ciosu
+51;14;0;0;podnosi nóż
+51;16;0;0;przywiązuje do ołtarza
+51;18;0;0;Bez sprzeciwu zabiera Izaaka na szczyt góry
+51;19;0;0;Bez sprzeciwu zabiera Izaaka na szczyt góry , przywiązuje do ołtarza , podnosi nóż , jest gotów do ciosu .
+531;1;0;0;kobiecy wygląd
+531;4;1;1;elegancki i kobiecy wygląd
+531;6;0;0;Posiada również elegancki i kobiecy wygląd .
+744;1;0;0;z tzw
+744;2;0;0;kreacjii z tzw
+744;4;0;0;do kreacjii z tzw
+744;5;0;0;faktycznie bardzo
+744;7;1;1;faktycznie bardzo przydatny do kreacjii z tzw
+744;9;0;0;Biustonosz jest faktycznie bardzo przydatny do kreacjii z tzw .
+691;2;0;-1;dość cienkie
+691;3;0;0;pod bluzką
+691;6;0;0;dość cienkie ramiączka
+691;8;0;1;nie odznacza się pod bluzką
+691;9;0;0;Ma dość cienkie ramiączka
+691;10;0;0;Ma dość cienkie ramiączka , nie odznacza się pod bluzką .
+753;3;1;1;Bardzo fajny
+753;4;0;0;Bardzo fajny desing butelki .
+766;1;0;0;na parkiecie
+766;5;0;0;obracająca się kusząco na parkiecie
+766;7;1;1;wyjątkowo wyjątkowa
+766;10;0;0;Dziewczyna obracająca się kusząco na parkiecie
+766;11;0;0;Dziewczyna obracająca się kusząco na parkiecie wydała mu się wyjątkowo wyjątkowa .
+1021;1;0;0;na dzień
+1021;5;1;1;idealne perfumy na dzień
+1021;6;0;0;Dla mnie
+1021;7;0;1;Dla mnie to idealne perfumy na dzień .
+582;1;-1;1;trudno dostępny
+582;4;-1;1;drogi i trudno dostępny
+582;6;0;0;Stanik jest drogi i trudno dostępny .
+925;2;0;0;wszytsko faktycznie
+925;4;1;1;wszytsko faktycznie bardzo ładny
+925;7;1;1;wszytsko faktycznie bardzo ładny , zmysłowy
+925;10;1;1;bardzo wyrafinowany
+925;11;1;0;Mimo wszytsko faktycznie bardzo ładny , zmysłowy ,
+925;12;0;1;Mimo wszytsko faktycznie bardzo ładny , zmysłowy , bardzo wyrafinowany zapach kobiecy .
+403;2;1;0;świetnych zapachów
+403;4;0;0;Duża gama świetnych zapachów .
+407;2;1;1;fenomenalny zapach
+407;3;0;0;Ma fenomenalny zapach .
+933;1;0;0;- amarantowa
+933;2;0;0;biało - amarantowa
+933;6;0;0;wspaniała biało - amarantowa kokarda
+933;8;0;0;Na piersi
+933;9;0;0;Na piersi pyszniła się wspaniała biało - amarantowa kokarda .
+171;2;0;0;roku codziennego użytkowania
+171;3;0;0;pół roku codziennego użytkowania
+171;5;0;0;na pół roku codziennego użytkowania
+171;9;1;0;100 ml wystarczyło mi na pół roku codziennego użytkowania .
+799;2;0;0;starszych panów
+799;4;0;0;bardziej statecznych
+799;5;0;0;raczej dla starszych panów
+799;7;0;0;raczej dla starszych panów i bardziej statecznych
+799;9;0;0;Woda toaletowa raczej dla starszych panów i bardziej statecznych .
+350;1;0;0;ludzi młodych
+350;3;0;0;, dla ludzi młodych
+350;6;1;0;" energią " , dla ludzi młodych
+350;8;1;0;z " energią " , dla ludzi młodych
+350;9;0;0;Woda z " energią " , dla ludzi młodych .
+800;1;0;0;bardziej pewny
+800;3;0;0;bardziej pewny siebie
+800;8;1;1;bardziej atrakcyjny
+800;9;0;0;człowiek staje się bardziej pewny siebie
+800;10;0;0;Długotrwały efekt ,
+800;12;1;1;człowiek staje się bardziej pewny siebie i bardziej atrakcyjny
+800;13;0;0;Długotrwały efekt , zapewnia
+800;14;0;0;Długotrwały efekt , zapewnia iż człowiek staje się bardziej pewny siebie i bardziej atrakcyjny .
+335;2;0;1;najstarsze i najładniejsze
+335;4;0;1;najstarsze i najładniejsze kostiumy
+335;8;0;0;- Zgromadzili śmy tu najstarsze i najładniejsze kostiumy .
+178;2;0;0;znaczków odblaskowych
+178;3;0;0;z dróg
+178;5;0;0;stosowania znaczków odblaskowych
+178;6;0;0;bezpiecznego korzystania z dróg
+178;7;0;0;bezpiecznego korzystania z dróg i stosowania znaczków odblaskowych
+178;8;0;0;dotyczącymi bezpiecznego korzystania z dróg i stosowania znaczków odblaskowych
+178;9;0;0;pytaniami dotyczącymi bezpiecznego korzystania z dróg i stosowania znaczków odblaskowych
+178;10;0;0;z pytaniami dotyczącymi bezpiecznego korzystania z dróg i stosowania znaczków odblaskowych
+178;12;0;0;ankiety z pytaniami dotyczącymi bezpiecznego korzystania z dróg i stosowania znaczków odblaskowych
+178;15;0;0;- Dzieci wypełniały ankiety z pytaniami dotyczącymi bezpiecznego korzystania z dróg i stosowania znaczków odblaskowych .
+1142;1;0;0;świeżym powietrzu
+1142;4;0;1;na świeżym powietrzu
+1142;5;0;0;na skórze
+1142;8;0;0;Zapach ten
+1142;10;0;1;przebywamy na świeżym powietrzu
+1142;13;0;0;Zapach ten długo utrzymuje się na skórze
+1142;14;0;0;Zapach ten długo utrzymuje się na skórze , nawet gdy przebywamy na świeżym powietrzu .
+439;2;0;0;dla kobiet
+439;3;-1;-1;prawdziwa trucizna
+439;5;-1;0;nie dla kobiet
+439;7;-1;-1;To prawdziwa trucizna
+439;8;0;0;To prawdziwa trucizna , ale nie dla kobiet .
+121;3;0;0;Dla mnie
+121;5;0;0;Dla mnie każdy dzień ,
+121;7;0;0;Dla mnie każdy dzień , to święto
+121;8;0;0;Dla mnie każdy dzień , to święto ; )
+1197;2;0;0;wielu lat
+1197;3;0;0;Ratko Mladić
+1197;5;0;0;od wielu lat
+1197;9;0;0;gen . Ratko Mladić
+1197;12;0;0;Ukrywający się od wielu lat
+1197;14;0;0;czuć się bezpieczny
+1197;17;0;0;Ukrywający się od wielu lat serbski zbrodniarz wojenny gen . Ratko Mladić
+1197;18;0;0;Ukrywający się od wielu lat serbski zbrodniarz wojenny gen . Ratko Mladić nie może już czuć się bezpieczny .
+6;5;0;0;tak znanej firmy
+6;6;0;0;na perfumy
+6;8;1;1;na perfumy tak znanej firmy nie jest wygórowana
+6;10;0;0;Cena jak na perfumy tak znanej firmy nie jest wygórowana .
+924;2;0;0;pomocną dłoń
+924;3;0;0;do nich
+924;4;0;0;wyciągnąć do nich pomocną dłoń
+924;10;0;0;, ze ktoś zdecydował się wyciągnąć do nich pomocną dłoń
+924;12;0;0;Cieszą się , ze ktoś zdecydował się wyciągnąć do nich pomocną dłoń .
\ No newline at end of file
diff --git a/results/Predykcje/klasyfikacje_bledne.txt b/results/Predykcje/klasyfikacje_bledne.txt
new file mode 100644
index 0000000..d95e071
--- /dev/null
+++ b/results/Predykcje/klasyfikacje_bledne.txt
@@ -0,0 +1,1541 @@
+id_zdania; pozycja_korenia_frazy_w_zdaniu; etykieta; wskazanie_modelu; fraza 
+348;8;0;1;Woda perfumowana Lacoste Pour Femme ma śliczny zapach .
+870;2;0;1;wspaniałe słodkości
+225;9;0;1;Dobry zarówno na dzień jak i na wieczorne wyjście .
+67;4;1;0;dość przystępna
+67;8;1;0;Cena dość przystępna
+216;3;0;1;dobrą
+216;4;0;1;z relacji z najbliższymi
+216;6;0;1;dobrą samoocenę
+216;14;0;1;jednak mieć dobrą samoocenę , lubić siebie
+618;8;1;0;wysoka
+470;0;0;1;wyrafinowanych
+470;5;1;0;stosowny
+470;9;1;0;, że stosowny tylko dla kobiet o wyrafinowanych gustach
+380;6;0;1;Świetnie nadaje się pod koszulę nocną .
+1009;0;1;0;zdecydowanej
+1009;11;0;1;Dla każdej kobiety pewnej swojej kobiecości , zdecydowanej ,
+1009;12;0;1;Dla każdej kobiety pewnej swojej kobiecości , zdecydowanej , oraz dla romantyczki .
+1069;1;-1;0;cienkie
+1069;4;0;1;cienkie lekkie sukienki i bluzeczki
+1069;12;1;0;nie ppowoduje podrażnień
+20;0;0;-1;czarnej
+20;1;1;-1;czarnej magii
+20;8;0;-1;ofiarą oskarżeń o uprawianie czarnej magii
+556;23;0;1;Do dziś dziękuję Bogu , że trafił em na takich porządnych ludzi , którzy dali nam dach nad głową i przysłowiowy talerz zupy .
+1105;5;0;1;, jednak słodki i owocowy
+445;12;0;1;Nie wyróżnia się pod sukienką
+830;1;1;0;energicznej dziewczyny
+830;4;0;1;jak i energicznej dziewczyny
+419;6;0;1;A do tego kobiety go uwielbiają .
+228;3;1;0;Świetna butelka
+604;1;0;1;bardziej odważnych
+325;2;0;1;cieszących się życiem
+325;4;0;1;kobiet cieszących się życiem
+95;7;1;0;uczucie świeżości na dłużej
+95;12;1;0;dają uczucie świeżości na dłużej
+1161;4;1;0;Dobre wrażenie
+882;6;0;1;zadowolona
+882;10;1;0;jestem z niego zadowolona , mimo wysokiej ceny
+109;3;0;1;na każdą sylwetkę
+570;1;1;0;romantycznej
+570;6;1;0;kobiety romantycznej i eterycznej , nienachalny
+767;1;-1;0;obawach
+167;11;0;1;całkiem fajna woda , ale w sumie mogła by być bardziej trwała
+104;3;1;0;korzyści majątkowych
+104;8;0;-1;przewiezieniu do Jeleniej Góry
+673;6;0;1;druciki wychodzą
+673;8;-1;0;Fiszbiny również są kiepskie
+673;9;-1;0;Fiszbiny również są kiepskie - druciki wychodzą i kłują .
+958;1;0;1;optycznie powiększone
+966;2;1;0;Super
+1180;13;0;-1;metalowym krzesłem
+774;9;1;0;bardzo ja sobie chwali
+774;10;0;1;Mój chłopak teraz używa tej wody
+774;11;0;1;Mój chłopak teraz używa tej wody i bardzo ja sobie chwali .
+772;10;1;0;Cena nie jest wygórowana
+935;6;0;1;Pięknie wykonany i bardzo ozdobny biustonosz .
+917;0;-1;0;mrocznym
+917;3;-1;0;moim mrocznym świecie
+917;8;-1;0;w moim mrocznym świecie
+1185;0;0;1;zdrowy
+1185;1;0;1;zdrowy rozsądek
+1185;2;-1;0;krzywdy
+1185;7;0;1;silniejsze niż zdrowy rozsądek
+807;0;1;0;markowym
+807;3;0;-1;produktem markowym
+1130;0;1;0;dodatkowym
+1130;7;1;0;odpinane ramiączka więc to jest dodatkowym plusem
+771;8;1;0;owocowo - kwiatowy zapach , pełen życia i energii
+771;13;1;0;Gabbana Light Blue to owocowo - kwiatowy zapach , pełen życia i energii
+24;6;1;0;Pasuje do mężczyzny
+0;6;0;1;Podoba mi się oszczędny design flakonika .
+769;3;0;1;ten elegancki sposób
+769;9;0;1;szanować gości
+218;6;1;0;wystarcza spokojnie na około 10 miesięcy .
+1074;3;0;1;wśród wszystkich zapachów
+559;4;0;1;Stanik jest naprawdę super .
+501;2;0;1;nasz
+74;7;0;1;bardzo dokładnie wykończony
+74;11;0;1;Biustonosz jest bardzo dokładnie wykończony
+1189;0;0;1;wierny
+1189;3;0;1;wierny pies
+378;0;1;0;wysoka
+378;3;0;1;wysoka ale
+378;7;-1;0;Cena wysoka ale ta marka
+727;2;1;0;równocześnie sexowny
+727;5;1;0;bardzo elegancki a równocześnie sexowny
+628;6;1;0;Jedno psiuknięcie wystarczy na cały dzień .
+635;2;-1;0;Matowe
+633;7;0;1;Założony bardzo dobrze modeluje i układa piersi .
+658;5;1;0;na wyjątkowe wieczory
+797;3;0;1;Zapach godny pozazdroszczenia .
+698;1;1;0;kobiety nowoczesnej
+698;2;1;0;dla kobiety nowoczesnej
+670;9;0;1;młodym
+221;4;0;1;na prezent i randki
+1148;1;1;0;najwyższej półki
+1148;2;0;1;najdroższe
+1148;8;0;1;Perfumy choć z najwyższej półki nie są najdroższe .
+1042;2;0;1;o dorodnym biuście
+1042;4;0;1;dla pań o dorodnym biuście
+1042;5;0;1;myślą dla pań o dorodnym biuście
+1042;7;0;1;z myślą dla pań o dorodnym biuście
+1042;8;0;1;Przygotowany z myślą dla pań o dorodnym biuście .
+321;6;0;1;Podobają się ramiączka zdobione ślicznym haftem .
+226;7;0;1;przeznaczony dla kobiet z większym biustem
+226;9;0;1;Bardzo wygodny bistonosz przeznaczony dla kobiet z większym biustem .
+667;1;0;1;solidnie
+667;8;0;1;Ma bardzo ładny wygląd i jest solidnie wykonany .
+334;4;1;0;górnej półki
+334;9;1;0;już z górnej półki
+334;13;1;0;, które są już z górnej półki ,
+334;16;1;0;Perfumy , które są już z górnej półki ,
+334;17;0;1;Perfumy , które są już z górnej półki , ale uważam , że o dość przystępnej cenie .
+1112;13;1;0;najchętniej używany zapach tej firmy
+750;2;-1;0;jej śmierci
+750;5;0;1;naprawdę niemały
+346;10;1;0;jest przy tym niezwykle wygodny i wytrzymały
+587;6;-1;0;przypadkowy
+587;27;0;1;Z jednej strony
+1169;3;0;1;nie wyróżniający się
+1169;4;0;-1;zwyczajny niczym
+1169;6;0;1;nie wyróżniający się staniczek
+1169;7;0;-1;na zwyczajny niczym
+919;7;0;1;idealne układa piersi i podtrzymuje je doskonale .
+780;13;0;1;bardzo udany model , sprawdza się przy większym biuście , świetnie utrzymuje biust .
+68;0;-1;0;nieszczęściem
+68;1;0;-1;dotkniętego nieszczęściem
+1135;2;0;1;pełne i jędrne
+1135;4;0;1;na pełne i jędrne
+1135;6;0;1;Piersi wyglądają na pełne i jędrne .
+1086;5;0;1;No i ten śliczny flakonik .
+141;3;1;0;fascynacji
+141;5;0;1;fascynacji i wzajemnego przyciągania siebie
+141;6;0;1;ludzkiej miłości
+141;9;0;1;siłę fascynacji i wzajemnego przyciągania siebie
+141;10;0;1;smaku ludzkiej miłości
+141;13;0;1;odkrywają siłę fascynacji i wzajemnego przyciągania siebie
+1192;0;0;1;umiarkowanych
+1192;3;-1;0;chorobami serca
+322;6;-1;0;Nie drażni nawet po całym dniu .
+284;3;1;0;każdej wyjątkowej kobiety
+783;6;0;1;trwały
+278;3;1;0;w bardzo ciekawym kształcie
+278;6;1;0;opakowanie w bardzo ciekawym kształcie
+278;8;0;1;Kolejnym plusem jest opakowanie w bardzo ciekawym kształcie .
+726;2;0;1;pełen seksu
+726;5;0;1;For Men
+726;8;0;1;2U For Men
+1097;7;1;0;Orzeźwiający i kwiatowy
+580;2;0;-1;eskalacji protestów
+550;6;1;0;świeży
+550;7;1;0;zapach świeży , owocowy , przypominający mi grejpfruta
+550;9;1;0;, zapach świeży , owocowy , przypominający mi grejpfruta
+519;0;1;0;prześliczny
+519;3;1;0;prześliczny biustonosz
+475;0;1;0;intensywny
+475;7;1;0;pieknyi zapach , intensywny ,
+475;9;1;0;Bardzo pieknyi zapach , intensywny , długo utrzymujący się .
+371;2;0;1;dla kobiety zmysłowej
+371;6;0;1;Perfumy wprost idealne dla kobiety zmysłowej .
+724;3;1;0;Zróżnicowana
+724;7;0;1;Zróżnicowana pojemność wiec i cena
+1007;13;1;0;Kochamy Polskę
+252;5;0;1;, dzięki którym powstała nasza placówka
+252;7;0;1;serdeczne
+1072;4;0;1;Posiada dość ciekawy wygląd .
+265;5;0;1;chętny do spędzania czasu przy kolacji
+22;10;1;0;Znam wiele kobiet , które używają właśnie tej wody toaletowej .
+295;5;0;1;jakimi do tej pory
+130;2;1;0;niespotykany
+605;7;1;0;świetny wybór na każdego rodzaju prezent
+502;5;0;1;poczuć prawdziwy zapach
+1187;1;0;-1;niekompetencję
+40;9;1;0;, nad którymi tak dużo osób się zachwyca
+643;3;1;0;Talent
+643;4;0;1;Talent już nie wystarcza .
+235;6;1;0;naprawdę świecący kryształ wśród wszystkich zapachów
+268;8;0;1;Idealnie unosi biust i nadaje mu odpowiedni kształt .
+195;3;-1;0;okropny design flakonu
+222;1;-1;0;ostry
+222;3;0;1;ostry odświeżacz powietrza
+222;5;0;1;Zapachem przypominają ostry odświeżacz powietrza .
+1022;6;-1;0;drogi zapach
+1022;11;1;0;na pewno wart swojej ceny
+1022;12;-1;0;1 Million to drogi zapach , ale
+129;3;0;1;reklama choć efektowna
+129;7;0;1;, że reklama choć efektowna nie działa
+1095;3;0;1;intrygujący
+1095;5;0;1;Zapach niezwykle trwały i intrygujący .
+680;1;0;1;dość wysokiej
+680;5;0;1;sexy
+680;8;0;1;Biustonosz pomimo dość wysokiej ceny wygląda bardzo sexy .
+105;11;-1;0;śmierci kompozytora
+105;18;1;0;.
+632;0;-1;0;bitemu
+632;5;0;1;, który pomógł bitemu policjantowi ,
+8;4;-1;0;się
+8;8;1;0;, czy ksiądz przyznał się do stawianych mu zarzutów
+8;30;0;-1;Rzecznik Prokuratury Okręgowej w Łodzi Krzysztof Kopania , zasłaniając się dobrem postępowania , odmówił na tym etapie śledztwa odpowiedzi na pytanie , czy ksiądz przyznał się do stawianych mu zarzutów .
+392;3;1;0;ponadczasowa
+392;5;1;0;ponadczasowa woda toaletowa dla mężczyzny
+1193;9;0;1;naszych zasad
+811;0;1;0;głębokich
+526;9;-1;0;zbyt twarde fiszbiny , które wbijają się w skórę
+671;3;1;0;- śliczny odcień różu
+671;6;1;0;kobiecy kolor - śliczny odcień różu
+330;6;1;0;Dobrze przylega do ciała
+397;0;0;1;wyjątkowa
+984;0;1;0;silny
+1173;4;1;0;doskonały prezent dla kobiety
+597;2;-1;0;niska
+597;7;1;0;warta całego zachodu
+181;4;0;1;wszystkim gorąco tą wodę
+5;3;0;1;wśród męskich zapachów
+5;4;1;0;Ideał wśród męskich zapachów !
+1139;0;1;0;ukochane
+1139;2;1;0;moje ukochane perfumy
+1139;3;1;0;będą moje ukochane perfumy
+1139;7;1;0;" to na zawsze będą moje ukochane perfumy
+1139;8;1;0;żółta " to na zawsze będą moje ukochane perfumy
+1139;10;1;0;" żółta " to na zawsze będą moje ukochane perfumy
+1;0;0;1;przepełniony
+1;1;1;0;słodki
+1;5;0;1;Zapach słodki i przepełniony optymizmem .
+361;8;1;0;Przepiękny
+174;7;1;0;jest praktyczny dla małych piersi
+517;3;0;-1;ciężkiego
+525;1;1;0;zapach przecudowny
+525;5;1;0;- zapach przecudowny
+525;11;1;0;100% - zapach przecudowny
+525;14;1;0;w 100% - zapach przecudowny
+482;8;1;0;Uwydatni kobiece kształty
+200;6;0;1;, że takie są teraz w modzie
+200;7;0;1;wiem , że takie są teraz w modzie
+200;9;0;1;, choć wiem , że takie są teraz w modzie
+200;14;0;1;, dziwny kształt , choć wiem , że takie są teraz w modzie
+200;19;0;1;Mi osobiście do gustu nie przypadł , dziwny kształt , choć wiem , że takie są teraz w modzie .
+493;2;-1;0;kupie
+493;13;1;0;: 10 daje 9 to jest jedyna woda ktorą kupie jeszcze raz
+595;0;1;0;rok
+595;3;0;-1;zysku za 1994 rok
+595;5;1;0;nagrodach z zysku za 1994 rok
+595;20;-1;0;.
+831;1;0;1;wspaniałym Kodaku
+831;4;0;1;we wspaniałym Kodaku
+782;5;1;0;nieziemski
+782;6;0;1;w kwestii gustów się nie dyskutuje
+1084;0;1;0;świeże
+1084;4;1;0;nuty lekkie , świeże
+678;0;1;0;wczesny
+1017;5;0;1;pełen podziwu wzrok
+1188;5;1;0;cud wiosny
+1188;10;0;1;świetnie
+730;1;0;1;oka błękitnej
+993;5;-1;1;naprawdę jak dla mnie okropny
+879;3;0;1;mu uroku
+879;4;1;0;Przecudowny haft
+879;5;0;1;Przecudowny haft dodaję mu uroku .
+472;5;1;0;najlepszych domów mody
+172;3;1;0;- śliczny odcień różu
+172;6;1;0;kobiecy kolor - śliczny odcień różu
+458;0;1;0;świeżą
+669;2;1;0;drapieżnej i zmysłowej
+669;4;1;0;pewnej siebie drapieżnej i zmysłowej
+669;5;1;0;kobiety pewnej siebie drapieżnej i zmysłowej
+669;8;1;0;Boski
+110;2;-1;0;obojętny
+616;7;1;0;Bardzo kobiece
+962;8;0;1;wystarcza na wiele użyć
+624;7;1;0;zpach dobry do wspomnień
+624;16;1;0;wiąże go z różnymi sytuacjami , zpach dobry do wspomnień
+365;6;1;0;Obecnie korzystam już z drugiego flakonu .
+485;3;1;0;adekwatna
+230;8;1;0;dla mnie produkt ten wart jest każdej ceny
+230;9;0;1;Jak dla mnie produkt ten wart jest każdej ceny .
+436;9;0;1;Nie do każdej osoby pasuje
+436;10;0;1;Nie do każdej osoby pasuje , perfumy trzeba dobierać według osobowości
+411;14;0;1;Nie zawiodła m się na jego zakupie podobnie jak na innej bieliźnie firmy Triumph .
+264;4;-1;1;nie praktyczny
+264;5;-1;0;Stanik bardzo niewygodny
+694;6;0;-1;nie uwiera
+1001;3;1;0;z pewnością
+1001;7;1;0;, który spodoba się z pewnością każdej kobiecie
+1001;8;1;0;cudowny
+965;3;1;0;korzystnemu
+965;8;1;0;Swój szybki rozwój
+965;9;0;1;Swój szybki rozwój zawdzięczało korzystnemu położeniu na skrzyżowaniu dróg .
+151;3;1;0;dość pozytywny
+301;0;1;0;silnym
+301;1;1;0;silnym charakterem
+301;2;1;0;z silnym charakterem
+301;5;1;0;osobom pewnym siebie z silnym charakterem
+301;7;1;0;go osobom pewnym siebie z silnym charakterem
+357;2;0;1;dla kobiet
+357;5;0;-1;nie dla kobiet
+357;8;0;1;To prawdziwa trucizna , ale nie dla kobiet .
+593;8;0;1;Radosny uśmiech
+593;9;0;1;Radosny uśmiech nie gościł jednak na twarzy pana Adama .
+532;5;0;1;nowoczesnym stylu
+532;9;0;1;w nowoczesnym stylu
+823;3;1;0;ukochany
+823;7;1;0;Mój ukochany zapach ,
+617;4;0;1;skłonne do ufności i entuzjazmu
+922;0;1;0;słodką
+922;1;0;1;słodką nutą
+922;5;0;1;kobiecy zapach
+846;2;1;0;Niespotykany
+846;6;1;0;bardzo ładnie
+846;8;0;1;Niespotykany kolor bardzo ładnie prezentuje się na ciele .
+13;1;1;0;wysmakowanych mężczyzn
+13;5;1;0;Letnia propozycja dla wysmakowanych mężczyzn .
+642;2;1;0;ludzi energicznych
+529;5;-1;0;wysokiej ceny
+529;14;0;1;Mojemu chłopakowi bardzo się podobał mimo dosyć wysokiej ceny zamierzam kupić mu go ponownie .
+115;9;1;0;nie jest go za dużo
+115;11;1;0;bardzo ładnie
+131;7;1;0;, dobrze trzyma biust ,
+131;8;1;0;bardzo ładnie
+788;6;0;-1;do trochę cięższych perfum
+788;14;0;1;Ma pociągać i przyciągać
+932;11;1;0;, że ma bardzo fajny zapach , który długo się utrzymuje
+804;6;1;0;Charakteryzuje się elektryzującym zapachem
+1003;11;0;1;coś z tej linii
+1003;20;0;1;, że muszę sobie sprawić coś z tej linii
+1003;23;0;1;Na razie jestem w posiadaniu jedynie próbki , która jednak zachęciła mnie na tyle , że muszę sobie sprawić coś z tej linii .
+469;8;-1;1;dla mnie t trochę za drogi biustonosz
+469;9;1;0;Śliczny choć
+469;10;0;1;Śliczny choć jak dla mnie t trochę za drogi biustonosz .
+1101;4;0;-1;nie uczulają
+466;9;1;0;powala na kolana inne perfumy
+981;4;1;0;, który bardzo mi odpowiadał
+865;4;0;1;wesołe usposobienie
+865;6;0;1;bystrość
+316;1;1;0;miłości
+25;4;-1;0;depresji
+329;3;0;1;znakomicie
+329;13;1;0;, każda kobieta po spryskaniu się nią poczuje się z pewnością znakomicie
+207;1;0;-1;wypadków
+207;3;0;-1;winy ludzi
+421;8;0;1;okazję
+401;2;1;0;mistrz prowincji
+401;8;0;-1;wielkie łupy , które jednak mistrz prowincji mu wydarł
+859;9;0;1;Wykonany z miękkiego materiału
+1047;3;0;1;o czymś świuadczy
+839;5;1;0;Dla mojego męża woda pasowała .
+841;6;-1;0;Ale na zapachu nic nie traci .
+681;7;1;0;Intrygujący zapach ,
+681;8;0;1;Intrygujący zapach , bardzo trwały o mocnej nucie .
+912;5;0;1;Pani na zdjęciu
+912;12;1;0;Szczególnie dobrze komponuje się z czarną biżuterią
+959;15;-1;0;swym ofiarom
+1177;5;0;1;Panowie - idealny na prezent !
+844;1;-1;0;Zażarta
+538;2;1;0;abonentów
+538;15;-1;0;brak szacunku dla abonentów
+538;20;-1;0;.
+28;2;1;0;stabilny
+233;0;0;1;nowe
+233;3;0;1;wolna
+233;5;0;1;z wolna
+233;8;0;1;z wolna zanikać
+233;14;0;-1;, że wielki ból zaczyna z wolna zanikać
+10;6;1;0;Dobra bielizna ,
+10;7;0;1;Dobra bielizna , ładnie i solidnie uszyta .
+310;0;0;-1;szkołach
+310;19;1;0;dobrem dzieci
+299;0;1;0;głęboki
+143;1;1;0;spora
+143;5;0;-1;cena spora
+143;17;1;0;) flakonik przeuroczo wygląda ( można go używać jako ozdobę-żart ) , cena spora ale na Allegro
+688;3;1;0;bardzo ładnie
+688;7;1;0;) Perfum bardzo ładnie pachnie .
+688;13;0;1;prym na całym świecie
+688;14;1;0;Świetna światowa marka która
+688;15;0;1;Świetna światowa marka która wiedzie prym na całym świecie : ) Perfum bardzo ładnie pachnie .
+835;6;0;-1;niby ładny , ale
+487;5;0;1;subtelnie unosząc
+487;11;1;0;piękno kobiecego biustu
+685;5;1;0;Propozycja czegoś na letnie wakacje .
+775;4;1;0;każdej zmysłowej , seksownej
+775;5;1;0;Dior Cherie-rewelacja
+775;6;1;0;każdej zmysłowej , seksownej kobiety
+259;5;1;0;Bardzo wydajny
+259;10;1;0;Bardzo wydajny perfum ,
+848;2;0;1;wyraźną kwiatową nutą
+848;9;1;0;bardzo zmysłowy i kobiecy , z wyraźną kwiatową nutą
+477;1;0;1;ze zdjęcia
+477;5;-1;1;odbiegającą od mojego wyobrażenia ze zdjęcia
+477;7;-1;1;bieliznę odbiegającą od mojego wyobrażenia ze zdjęcia
+477;9;1;0;ślicznym zdjęciem
+477;10;-1;0;otrzymała m bieliznę odbiegającą od mojego wyobrażenia ze zdjęcia
+477;11;1;0;skuszona ślicznym zdjęciem
+477;13;-1;1;skuszona ślicznym zdjęciem a otrzymała m bieliznę odbiegającą od mojego wyobrażenia ze zdjęcia
+553;2;0;1;tej wyższej półki
+553;5;0;1;z tej wyższej półki
+165;9;1;0;najlepszym prezentem urodzinowym jaki kiedykolwiek otrzymała m na urodziny
+1160;3;0;1;bardzo obca
+926;3;0;1;głęboką
+874;15;0;1;Przy tym jest niesamowicie trwały i ładnie rozwija się na skórze ( mojej przynajmniej ) .
+467;11;0;1;Może fajne dla starszej kobiety takiej z czerwoną pomadką na ustach .
+878;4;-1;0;wysoka jak na taka wodę
+878;6;-1;0;za wysoka jak na taka wodę
+1198;2;0;-1;zbrodnie przeciwko ludzkości
+1198;6;-1;0;oskarżonego o ludobójstwo i zbrodnie przeciwko ludzkości
+142;2;0;1;wyróżniających się
+142;3;0;1;wyróżniających się młodych Polaków
+142;4;0;1;nagradzanie wyróżniających się młodych Polaków
+231;4;0;1;kolorze zmysłowego różu
+72;0;1;0;najbliższej
+72;2;0;1;zrozumieniem najbliższej osoby
+72;6;0;1;ze zrozumieniem najbliższej osoby
+630;7;-1;0;- jest bardzo niewygodny
+630;8;0;1;z tego stanika
+630;9;0;1;nie jestem
+1057;12;1;0;7 za swoja atrakcyjna cenę
+1057;13;1;0;6 dostają za to ze podobają się kobieta
+186;0;1;0;zadbanym
+186;2;0;-1;tajemniczym
+186;7;1;0;się z seksownym , tajemniczym i zadbanym mężczyzną
+186;9;1;0;mi się z seksownym , tajemniczym i zadbanym mężczyzną
+17;3;1;0;Obowiązkowy na randki .
+852;10;0;1;W naszej firmie wszystko układa się w pozytywny ciąg następstw .
+202;17;1;0;Orzeźwiający , super na lato , długo się utrzymuje na skórze
+202;19;1;0;Orzeźwiający , super na lato , długo się utrzymuje na skórze ( choć to zależy też od typu skóry
+623;1;0;1;sprawnych technicznie
+623;3;0;1;dekoracyjnych i sprawnych technicznie
+623;4;0;1;dekoracyjnych i sprawnych technicznie obrazów
+623;5;-1;0;raczej
+623;7;0;1;tworzeniem dekoracyjnych i sprawnych technicznie obrazów
+623;18;1;0;, których zasługi artystyczne , poza tworzeniem dekoracyjnych i sprawnych technicznie obrazów , są raczej mizerne
+462;3;-1;0;, bez rewelacji
+289;5;1;0;zachęcających do głosowania na Tadeusza Zwiefkę
+162;2;1;0;jestcudowny i nietuzinkowy
+162;3;1;0;mnie jestcudowny i nietuzinkowy
+927;2;-1;0;Matowe
+1056;2;0;-1;rosyjskie służby specjalne
+71;2;0;1;bardzo korzystną ofertą
+71;7;0;1;, że przychodzą z bardzo korzystną ofertą
+86;6;0;1;Sam stanik również świetnie się prezentuje .
+546;0;1;0;poręczny
+546;2;1;0;toaletce i poręczny
+546;4;1;0;na toaletce i poręczny
+546;8;0;1;Flakonik ładnie prezentuje się na toaletce i poręczny .
+1039;8;0;1;Zapach tej wody jednak od razu mnie urzekł .
+453;2;0;1;w swojej toaletce
+453;4;1;0;wysokie
+453;9;0;1;wysokie standardy
+720;0;0;-1;złośliwego
+720;1;0;-1;złośliwego chłoniaka
+263;0;1;0;głębokim
+808;3;1;0;Subtelna
+808;5;1;0;bardzo kobieca i zmysłowa
+229;1;0;1;z dam
+229;2;0;1;każdej z dam
+229;3;0;1;u każdej z dam
+229;5;0;1;gwarantowany u każdej z dam
+793;6;1;0;w tytule - silny , urzekający
+793;8;1;0;w tytule - silny , urzekający , kwiatowy
+615;4;0;1;godny na letnie wieczory
+615;5;0;1;Polecenia godny na letnie wieczory .
+946;9;1;0;Bardzo ciekawy wygląd tej wody toaletowej
+636;9;1;0;tylko stworzony dla kobiet silnych , mocno stąpających po ziemi
+636;12;1;0;, że tylko stworzony dla kobiet silnych , mocno stąpających po ziemi
+697;2;1;0;bardzo starannie
+697;10;1;0;cena nie jest wysoka
+697;11;1;0;Biustonosz jest wykonany bardzo starannie i dokładnie
+155;4;0;1;pięknej
+621;0;-1;0;lewe
+621;1;1;0;swoje
+621;9;0;1;pomoc
+621;15;0;1;żadnego skutku
+621;22;0;1;jego zeznania nie przyniosły żadnego skutku
+54;3;1;0;przyjemny do ciała
+827;5;0;-1;złośliwy
+887;0;1;0;pobudzający
+887;3;1;0;pobudzający zapach
+887;4;1;0;bardzo seksowny
+887;5;0;1;bardzo seksowny i pobudzający zapach .
+895;5;0;1;wrażliwą duszę młodego człowieka
+895;7;0;1;piękne synowskie uczucie
+717;3;0;1;przypaść do gustu
+812;2;0;-1;dość sporej ceny
+812;5;0;1;warty swojej dość sporej ceny
+184;1;-1;1;ostrą
+184;4;0;1;jego ostrą , wibrującą nutę
+184;5;0;1;na jego ostrą , wibrującą nutę
+184;6;0;1;względu na jego ostrą , wibrującą nutę
+184;7;0;1;ze względu na jego ostrą , wibrującą nutę
+184;10;0;1;ten zapach ze względu na jego ostrą , wibrującą nutę
+184;14;0;1;Nie podoba mi się ten zapach ze względu na jego ostrą , wibrującą nutę .
+398;7;0;1;jakość wykonania
+398;12;1;-1;jakość wykonania nie odbiega od bardzo drogiej bielizny
+489;3;1;0;bardzo ciekawy , zapamiętywalny
+620;9;1;0;najlepsze perfumy pod słońcem
+460;0;0;1;magiczny
+460;2;1;0;jakiś sposób magiczny
+460;5;1;0;w jakiś sposób magiczny
+460;7;0;1;by uniwersalny
+460;9;1;0;za razem w jakiś sposób magiczny .
+460;11;0;1;Zapach jak by uniwersalny a za razem w jakiś sposób magiczny .
+1028;6;1;0;Polecam na prezent dla każdej pani .
+204;1;0;-1;mocno zmienione
+1128;3;0;1;biustonosz jest super !
+967;3;1;0;ten uroczy biustonosz
+863;1;0;1;przesycony
+863;2;0;1;bardzo przenikliwy
+863;3;-1;1;bardzo przenikliwy i przesycony
+863;4;-1;1;za bardzo przenikliwy i przesycony
+863;7;-1;1;zapach za bardzo przenikliwy i przesycony
+863;10;0;1;Jak dla mnie to zapach za bardzo przenikliwy i przesycony .
+969;9;1;0;świetny pomysł na prezent na urodziny czy pod choinkę
+1179;1;-1;0;samobójczej
+1179;2;0;-1;samobójczej śmierci mężczyzny
+849;9;1;0;: - )
+1036;8;-1;0;Zatrzymani wczoraj przestępcy
+549;5;0;1;uniwersalny design
+549;8;1;0;pomimo skromności elegancko się prezentuje
+1174;4;1;0;słodką kokardkę między piersiami
+1174;7;1;0;odpinane ramiączka i słodką kokardkę między piersiami
+404;12;1;0;Cena w sieci jest bardzo przyzwoita
+404;15;1;0;Cena w sieci jest bardzo przyzwoita , więc pewnie skuszę się na więcej 30ml
+1143;0;-1;0;duszące
+1143;2;-1;0;perfumy duszące
+157;1;0;1;radosnym gwarem
+157;4;0;1;, zachłystując radosnym gwarem
+157;8;0;-1;I nagle zrywa się , zachłystując radosnym gwarem .
+1004;8;1;0;elegancką bluzkę na Sylwestra
+1004;16;1;0;okazało się , że doskonale się sprawdza na codzień
+1004;21;1;0;, że włożę go pod elegancką bluzkę na Sylwestra , ale okazało się , że doskonale się sprawdza na codzień
+721;1;0;-1;dość wysoka
+721;5;-1;0;być dość wysoka cena
+192;0;1;0;najładniejszych
+872;1;1;0;wyraźną
+872;6;1;0;bardzo świeżo i z wyraźną pieprzową nutą
+909;15;0;-1;tym samym przynosi straty państwu
+610;4;1;0;doskonały prezent dla kobiety
+393;6;1;0;uroczystego
+552;5;0;1;godny polecenia dla każdego faceta .
+911;3;1;0;Gabana niczego sobie prześliczny
+853;8;1;0;zerowy albo ujemny zysk
+253;3;0;1;bardzo skromny
+881;2;1;0;niespotykanym zapachem
+881;8;1;0;bardzo intrygującym i niespotykanym zapachem
+881;10;0;1;Kolejna woda toaletowa która urzeka bardzo intrygującym i niespotykanym zapachem .
+1038;11;1;0;- ) napewno spodoba się każdej brunetce
+1144;4;0;1;świecie lepszej wody niż ta
+1144;9;1;0;juz dla mnie na świecie lepszej wody niż ta
+613;13;1;0;jednym z najlepszych produktów tego typu na rynku
+578;1;0;-1;cenę
+578;5;0;-1;o cenę
+904;7;1;0;nie wychodzą druty
+904;8;0;1;trwały
+904;10;1;0;nie pruje się po pierwszym ubraniu
+904;11;1;0;biustonosz jest trwały nie wychodzą druty
+904;16;1;-1;biustonosz jest trwały nie wychodzą druty i nie pruje się po pierwszym ubraniu
+904;17;1;0;Cena nie jest wysoka
+241;7;0;1;Miseczki typu push up świetnie podtrzymują biust .
+153;0;-1;0;chłodne
+1181;1;1;0;entuzjazmem
+1181;6;0;-1;Raue z entuzjazmem przyjął tę propozycję .
+877;3;1;0;przeobrażeniem doskonałości
+3;3;0;1;uwodzicielski zapach
+3;5;0;1;Bardzo ładny , uwodzicielski zapach .
+789;8;-1;0;nie dla kobiet o obfitym biuście
+199;5;1;0;nie tylko ładnie
+199;11;1;0;produkt , gdyż nie tylko ładnie się prezentuje pod bluzeczką
+199;16;1;0;Polecam produkt , gdyż nie tylko ładnie się prezentuje pod bluzeczką , ale także bez niej
+199;17;0;1;Polecam produkt , gdyż nie tylko ładnie się prezentuje pod bluzeczką , ale także bez niej ; )
+328;5;1;0;" ten wyróżnia się swoją oryginalnością
+328;6;1;0;adidas " ten wyróżnia się swoją oryginalnością
+328;7;1;0;" adidas " ten wyróżnia się swoją oryginalnością
+328;8;1;0;typu " adidas " ten wyróżnia się swoją oryginalnością
+328;9;1;0;zapachów typu " adidas " ten wyróżnia się swoją oryginalnością
+328;11;1;0;natłoku zapachów typu " adidas " ten wyróżnia się swoją oryginalnością
+372;0;1;0;piękniejszej
+372;2;0;-1;piękniejszej śmierci
+944;1;-1;0;bezpośrednich sprawców
+166;1;-1;0;żle zszyty
+166;5;0;1;ładny , ale żle zszyty
+166;8;-1;1;niby ładny , ale żle zszyty
+261;4;1;0;polecenia dla każdego mężczyzny
+227;1;0;1;kobiety zmysłowej
+227;2;0;1;dla kobiety zmysłowej
+995;5;0;1;, która pomoże Mühlhausowi ująć mordercę
+237;3;0;1;bardzo kobiecy zapach
+564;7;1;0;Świetna woda toaletowa ,
+564;8;1;0;Świetna woda toaletowa , zapach długo się utrzymuje .
+169;0;1;0;ognistym
+1100;2;-1;0;podróbki Fahrenhaita
+1100;8;-1;1;taniej podróbki Fahrenhaita
+1100;19;-1;0;pół butelki taniej podróbki Fahrenhaita
+1043;0;1;0;niesamowite
+1043;2;1;0;niesamowite wrażenie
+39;2;1;0;jej warta
+39;7;1;0;, że woda ta jest jej warta
+39;8;0;-1;i wysoka
+39;11;1;0;myślę , że woda ta jest jej warta
+652;5;0;1;nawet najbardziej wymagającej
+652;10;0;1;nawet najbardziej wymagającej kobiety
+652;11;1;0;Idealnie nadają się na prezent dla każdej
+522;7;0;1;Kołem Młodych
+588;0;0;1;pewniej
+588;5;1;0;Ładniejszy
+588;7;1;0;, że kobieta czuje się pewniej
+588;8;1;0;Ładniejszy biust
+250;8;1;0;sam raz dla przebojowych i pewnych siebie pań
+662;0;1;0;klasycznego
+662;7;-1;0;nijak do swojego wielkiego poprzednika klasycznego
+756;2;1;0;oryginalną
+942;4;0;1;zapach słodki i esencjonalny
+537;12;-1;0;Ten samonośny biustonosz nie jest żadną rewelacją
+847;8;1;0;miseczki idealnie modelują biust
+1127;0;-1;0;cienką
+333;0;1;0;markowe
+333;2;0;1;markowe perfumy
+333;6;0;1;są to markowe perfumy
+409;7;0;1;Zapach przede wszystkim trwały a perfum wydajny .
+530;8;1;0;Jeśli ktoś ma w zanadrzu gotówki polecam na prezent
+516;7;1;0;podnosi
+516;9;1;0;Idealnie dopasowuję się do piersi
+516;10;1;0;Idealnie dopasowuję się do piersi , podnosi i uwydatnia je .
+75;3;0;1;Flakonik bez rewelacji .
+731;11;1;0;Perfumy dobre zarówno do codziennego użytku , jak
+634;5;0;1;NA KARZEDEGO FACETA
+634;8;0;1;DZIAŁA NA KARZEDEGO FACETA
+634;9;1;0;PODNIECA REWELACYJNIE
+1111;5;1;0;świerzy zapach
+399;3;1;0;kultowych
+399;5;1;0;najbardziej kultowych i rozpoznawalnych zapachów Armaniego
+999;7;0;1;Miseczki typu push up świetnie podtrzymują biust .
+723;6;0;-1;w najpodlejszym , cuchnącym bagnie
+723;8;0;1;Upragnioną miłość
+850;3;1;0;dość solidnie
+850;6;1;0;dość solidnie wykonany
+850;10;1;0;Stanik ten jest dość solidnie wykonany
+168;2;0;1;z niego dumny
+796;9;0;-1;i precyzyjnie wykończony , z mnóstwem zdobień i ażurków
+796;11;0;1;Bardzo ładnie i precyzyjnie wykończony , z mnóstwem zdobień i ażurków .
+188;0;0;-1;brutalni
+188;6;0;-1;, które zrabowali z mieszkania brutalni przestępcy
+188;7;0;-1;przedmiotów , które zrabowali z mieszkania brutalni przestępcy
+79;3;1;0;kobieta pożądana
+79;8;1;0;stać się kobieta pożądana
+79;9;0;1;Nuta serca pozwoliła mi dorosnąć
+1092;6;1;0;urzekły mnie dopiero po pewnym czasie .
+108;6;1;0;Energise jak najbardziej adekwatna
+560;1;0;1;nowymi zapachami
+560;4;0;1;konkurować z nowymi zapachami
+213;5;0;1;Całość umieszczona w niepowtarzalnym flakonie .
+158;0;1;0;młodych
+504;2;0;1;klasyczny perfum
+504;4;1;0;klasyczny perfum bardzo trwała
+504;7;1;0;to klasyczny perfum bardzo trwała
+761;6;0;1;świetne miejsce do utworzenia centrum wzornictwa przemysłowego
+305;0;-1;0;ubóstwa
+305;14;0;1;Wysoka
+302;7;1;0;wybitny znawca problemów harmonizowania prawa irlandzkiego i europejskiego
+743;10;1;0;one wyjątkowy zapach , który długo utrzymuje się na skórze
+147;0;1;0;świecie
+147;22;-1;0;.
+1068;3;1;0;Odpowiednie dla starszych kobiet
+133;3;0;1;jednym z krakowskich atelier
+133;6;0;1;oryginalne
+133;7;0;1;w jednym z krakowskich atelier
+133;9;1;0;ulotki
+133;13;0;1;wykonana w jednym z krakowskich atelier
+133;21;0;1;jego piękna fotografia w powstańczym stroju , wykonana w jednym z krakowskich atelier
+133;22;-1;0;.
+245;0;1;0;idealnymi
+245;2;1;0;idealnymi krągłościami
+245;3;1;0;idealnymi krągłościami i ponętnym
+245;9;1;0;, emanując idealnymi krągłościami i ponętnym
+245;17;1;0;, iż każdy biust wygląda zachwycająco , emanując idealnymi krągłościami i ponętnym ,
+943;1;0;1;pierwszego węchu
+943;2;0;1;od pierwszego węchu
+631;5;0;1;niezwykle miękki
+631;7;0;1;Jest miły w dotyki i niezwykle miękki .
+576;5;0;1;mały czy duży biust
+576;7;0;1;ma mały czy duży biust
+1163;4;1;0;każdej zmysłowej , seksownej
+1163;5;1;0;Dior Cherie-rewelacja
+1163;6;1;0;każdej zmysłowej , seksownej kobiety
+1163;8;1;0;dla każdej zmysłowej , seksownej kobiety
+899;1;1;0;dodatkowy
+899;4;1;0;, za co dodatkowy plus
+899;7;1;0;inną nutę zapachową , za co dodatkowy plus
+899;8;1;0;nieco inną nutę zapachową , za co dodatkowy plus
+899;11;1;0;w nieco inną nutę zapachową , za co dodatkowy plus
+271;3;1;0;zmysłowe , haftowane
+271;6;1;0;zmysłowe , haftowane kwiaty
+271;9;1;0;zmysłowe , haftowane kwiaty , czyli biustonosz Gabriella
+1053;3;0;1;tak świetnej kondycji
+1053;5;0;1;w tak świetnej kondycji
+759;1;1;0;specjalny wieczór
+759;3;1;0;na specjalny wieczór
+759;4;1;0;Pasuje na specjalny wieczór .
+528;17;1;0;Dolce & Gabbana to bardzo fajna woda perfumowana
+939;0;1;0;najbliższym
+601;2;1;0;efektywną buteleczkę
+824;10;1;0;Klasyczna
+66;10;1;0;dla kobiet stylowych , kochających własny , indywidualny styl życia
+873;5;0;1;Najlepszy zapach Versace jak dotąd .
+449;4;1;0;, który się nie nudzi
+449;6;1;0;Zapach , który się nie nudzi
+449;9;1;0;Gabbana The One - Zapach , który się nie nudzi
+449;11;1;0;Dolce& Gabbana The One - Zapach , który się nie nudzi
+473;1;0;1;dojrzałą kobietą
+918;5;0;1;tak ładnie
+918;13;1;0;do tego cena też jest korzystna
+985;4;-1;0;, jak i przeciwniczek
+985;21;0;1;podobieństwa z poprzednikiem owych perfum
+541;6;1;0;Przyda się oko kobiety jako opinia .
+48;3;0;1;troszkę wysoka
+938;4;0;1;duży kryształ
+938;8;0;1;zakrętka przypomina duży kryształ
+938;10;1;0;Mają przepiękny , prosty flakon
+825;5;1;0;Ten zapach uwiódł mnie
+976;0;-1;0;horrendalna
+976;2;-1;0;horrendalna cena
+961;6;1;0;Mają naprawdę dobre perfumy
+377;5;1;0;polecić ten biustonosz
+826;8;1;0;Ciekawe zestawienie różnych nutek zapachowych
+826;9;0;1;Ciekawe zestawienie różnych nutek zapachowych daje bardzo interesującą mieszankę .
+565;2;0;-1;napadem na mnie
+565;3;0;-1;z napadem na mnie
+565;4;0;1;wspólnego z napadem na mnie
+565;5;0;1;coś wspólnego z napadem na mnie
+565;6;0;1;mieć coś wspólnego z napadem na mnie
+565;9;0;1;on mógł mieć coś wspólnego z napadem na mnie
+990;1;1;0;rześkim
+990;2;1;0;rześkim , ożywczym
+990;3;1;0;rześkim , ożywczym zapachu
+136;2;-1;0;niepokojące
+136;7;-1;0;jakieś niepokojące odczucia
+136;10;-1;0;kolor przynosi jakieś niepokojące odczucia
+136;12;-1;0;kolor przynosi jakieś niepokojące odczucia ( ciągle mam przed oczami zachód słońca
+136;16;-1;0;kolor przynosi jakieś niepokojące odczucia ( ciągle mam przed oczami zachód słońca )
+136;18;-1;0;Flakon kształtem nie zachwyca
+1024;6;1;0;się uśmiechać ku sobie radośnie
+1063;3;1;0;szalenie praktyczny
+1063;13;1;0;raczej do noszenia pod ubraniem niż na " pokaz " , jednak szalenie praktyczny
+1063;16;1;0;najseksowniejszy biustonosz , raczej do noszenia pod ubraniem niż na " pokaz " , jednak szalenie praktyczny
+1063;20;1;0;nie jest to najseksowniejszy biustonosz , raczej do noszenia pod ubraniem niż na " pokaz " , jednak szalenie praktyczny
+982;1;0;-1;nieciekawy
+982;2;0;1;bardzo ostry
+982;4;-1;1;bardzo ostry nieciekawy zapach
+982;10;-1;1;mają bardzo ostry nieciekawy zapach
+982;11;-1;0;Kompletnie nie przypadły mi do gustu
+347;0;1;0;stateczni
+894;0;-1;0;duszący
+941;2;0;1;zdecydowanych kobiet
+1030;3;1;0;świeża
+125;9;0;1;Biustonosz ten jest wykonany z bardzo dobrego jakościowo materiału .
+88;2;1;0;romantyczny zapach
+1093;0;1;0;ponadczasowy
+1093;2;1;0;zapach ponadczasowy
+1093;4;1;0;to dla mnie zapach ponadczasowy
+1093;5;1;0;Blue to dla mnie zapach ponadczasowy
+1065;1;0;1;znanej marki
+1065;4;0;1;woda toaletowa znanej marki
+1123;6;0;1;Niezwykle ładny a zarazem seksowny stanik .
+276;1;1;0;NIESAMOWITY
+276;3;1;0;NIESAMOWITY ZAPACH
+43;3;1;0;, które lubisz
+43;11;0;1;coś dobrego
+43;16;0;1;zrobimy sobie coś dobrego
+1164;5;-1;0;sa okropne ale
+1164;13;-1;0;pierwsze nuty sa okropne ale
+21;0;-1;0;prowokujący
+625;6;0;1;powalająca jak na tak dobrą firmę
+468;7;1;0;właśnie do sukienki z dekoldem - ponoć super
+468;10;1;0;go zakupić właśnie do sukienki z dekoldem - ponoć super
+905;0;-1;0;zaniepokojone
+905;7;0;1;uważnie lustrował zaniepokojone twarze
+1082;0;1;0;mocna
+626;10;0;1;drogi ale w internecie można zakupić go w dobrej cenie
+1166;6;0;1;Biustonosz jest zrobiony z dobrych materiałów .
+429;1;1;0;trwałe
+429;4;1;0;trwałe perfumy które
+150;9;1;0;, który uwielbiam i używam bardzo często
+554;5;0;1;bardzo oryginalny
+1107;1;0;1;znany nam
+432;4;-1;0;Zdenerwowani są także kierowcy .
+209;1;1;0;zdecydowanej
+209;5;0;1;kobiety pewnej siebie i zdecydowanej
+191;3;-1;0;rynku słabego
+191;6;-1;0;na rynku słabego
+191;10;-1;0;brzydkiego zapachu od Hugo Bossa
+866;1;1;0;słodki
+78;22;1;0;Bo w końcu pochodzą z jednego z najlepszych domów mody
+806;1;0;-1;dosyć wysoka
+806;8;-1;0;, iż cena jest dosyć wysoka
+952;3;1;0;stylu i elegancji
+952;4;1;0;Połączenie stylu i elegancji .
+173;0;1;0;eleganckich
+945;3;1;0;adekwatna
+983;7;-1;0;zaszokowani ceną tej wody toaletowej w końcu
+983;10;-1;0;zaszokowani ceną tej wody toaletowej w końcu pochodzi
+223;1;0;1;górnej części
+223;3;1;0;prześliczną
+223;5;1;0;prześliczną koronkę w górnej części
+185;4;1;0;Zdecydowanie działa na mężczyzn .
+606;5;1;0;bardzo serdecznie
+249;10;1;0;Słodkie
+344;9;1;0;produkt wysokogatunkowy , który zasługuje na to ,
+344;10;1;0;produkt wysokogatunkowy , który zasługuje na to , by go mieć
+344;13;1;0;dla mnie produkt wysokogatunkowy , który zasługuje na to , by go mieć
+344;15;0;1;nie odziera
+344;18;1;0;, nie odziera , jak dla mnie produkt wysokogatunkowy , który zasługuje na to , by go mieć
+1078;2;1;0;prawdziwego faceta
+196;0;1;0;cudo
+196;5;1;0;ten zapach to cudo
+718;2;1;0;biust , ciekawy
+718;8;0;1;Idealnie podtrzymuje i kształtuje biust , ciekawy fason .
+275;8;0;-1;Cena za ten markowy produkt
+1147;4;0;1;rewelacyjnie
+1147;6;1;0;idealnie komponuje się ze skórą
+1147;12;1;0;Woda jest świetnym wynalazkiem
+359;2;-1;0;chłystków w dresach
+359;4;1;0;dostojny
+359;5;-1;0;dla chłystków w dresach
+359;6;1;0;rację-to dostojny zapach
+359;11;1;0;) I macie rację-to dostojny zapach
+190;6;1;0;Klasyczny
+190;8;1;0;ma w sobie coś co przykuwa uwagę
+16;8;1;0;ponadczasowy
+543;13;-1;0;odporność na zaburzenia serca i naczyń wieńcowych
+543;19;1;0;, zwiększając odporność na zaburzenia serca i naczyń wieńcowych
+452;2;1;0;wcześniejszych
+452;4;0;1;miłośników wcześniejszych zapachów tej linii
+787;0;1;0;oryginalny
+23;8;1;0;niezwykle seksownie się prezentuje na sylwetce
+512;6;1;0;praniu i będzie służył przez długi czas
+512;8;1;0;po praniu i będzie służył przez długi czas
+440;4;1;0;cudach w Lourdes
+440;19;1;0;.
+1008;10;0;1;Cena stosunkowo wysoka ale znajomy bardzo zachwala sobie ten zapach .
+1026;3;0;1;niesamowite
+1026;7;0;1;niesamowite wrażenie
+1033;10;1;0;uroku
+1033;21;-1;0;.
+1102;2;1;0;ceniących jakość perfum
+1102;4;1;0;Kobiet ceniących jakość perfum
+45;6;0;1;wydane w 2005 roku
+41;8;0;1;Polecam szczególnie na prezent dla mężczyzn od 20
+326;4;-1;1;zapach nie zachwyca
+326;6;1;0;Dobra marka
+884;7;0;1;strzałami w powietrze
+884;10;-1;1;zmusił ją do wydania pieniędzy
+319;3;1;0;najgenialniejsi
+53;6;1;0;Kilka kropli wystarcza na cały dzień .
+928;17;1;0;jestem z niej bardzo zadowolony
+928;18;1;0;Zachęcam do kupna wody toaletowej " Lacoste Essential"Mam tą wodę już 3 raz
+755;0;1;0;aktywnej
+539;0;1;0;podniesione
+622;8;1;0;poręcznej
+622;13;1;0;małej , poręcznej
+622;15;1;0;małej , poręcznej buteleczce , która spokojnie zmieści się w torebce ,
+622;20;1;0;w małej , poręcznej buteleczce , która spokojnie zmieści się w torebce ,
+180;0;0;1;seksowny
+180;6;0;-1;za taki seksowny biustonosz
+818;6;-1;0;z przykrością
+818;12;-1;0;z przykrością muszę stwierdzić
+818;15;-1;1;nie spełnił moich oczekiwań
+818;17;-1;0;Niedawno zakupiła m ten stanik na allegro i z przykrością muszę stwierdzić
+390;0;1;0;swobodnych
+390;1;1;0;swobodnych rzeczach
+390;2;1;0;o swobodnych rzeczach
+390;4;1;0;myśleć o swobodnych rzeczach
+390;5;1;0;spokojnie usiąść
+390;7;1;0;spokojnie usiąść lub myśleć o swobodnych rzeczach
+499;8;1;0;Produkt ten jest bardzo wygodny
+913;3;1;0;wart tej ceny
+910;4;1;0;przyjaciół
+687;2;1;0;KAŻDEGO WYRAFINOWANEGO PANA
+687;4;1;0;DLA KAŻDEGO WYRAFINOWANEGO PANA
+687;5;1;0;POLECAM DLA KAŻDEGO WYRAFINOWANEGO PANA .
+1027;4;1;0;bardzo ładnie
+1027;8;1;0;Biustonosz Carmen bardzo ładnie leży
+505;5;1;0;z bardzo miłego dla ciała materiału
+545;1;1;0;czystym
+545;3;1;0;całą pewnością
+545;6;1;0;czystym sumieniem i całą pewnością
+545;9;1;0;Z czystym sumieniem i całą pewnością
+135;7;1;0;ładna i dziewczęca
+135;10;1;0;ładna i dziewczęca - ale jak
+672;2;1;0;klasycznej
+672;5;1;0;rozchwytywanej Eternity
+672;10;1;0;nowsza wersja klasycznej i rozchwytywanej Eternity
+1016;6;0;1;Dobra alternatywa na prezent dla mężczyzny .
+42;1;1;0;Słodkiego
+42;12;0;1;Zapach takiego " Słodkiego Jabuszka " , chodź bardzo spotykany na ulicy .
+868;10;1;0;firmy Triumph , który nie zawiódł mnie i moich oczekiwań
+160;0;1;0;słodką
+160;1;0;1;słodką elegancją
+572;8;1;0;Moje pierwsze lepsze perfumy które
+1191;1;0;1;wspaniały
+242;0;0;1;prawdziwa
+217;0;1;0;tania
+1134;11;-1;0;nie trzyma biustu oraz bardzo szybko się niszczy
+1134;12;-1;0;Stanik źle układa się
+215;11;1;0;Kolor jest trwały
+1019;2;0;1;wspaniałym
+1019;6;0;1;najpiękniejszych
+1019;8;0;1;najpiękniejszych gatunków o wspaniałym jesiennym przebarwieniu liści
+1120;12;1;0;Materiały z których jest wykonany są przyjemne dla skóry
+1066;0;1;0;klasyczny
+1066;4;0;1;prosty , klasyczny wygląd
+394;0;0;1;dobrej
+394;1;0;1;dobrej formie
+394;2;0;-1;zazdrości
+1150;2;0;1;wód toaletowych
+1150;6;0;1;do wód toaletowych
+1150;9;0;1;przeciwieństwie do wód toaletowych
+746;5;0;1;sam raz dla przeciętnej kobiety
+600;5;0;1;bardzo przeciętny zapach
+600;8;0;-1;To bardzo przeciętny zapach
+883;0;1;0;słonecznej
+388;5;-1;0;przejść obok perfum obojętnie
+388;11;1;0;, iż nie można przejść obok perfum obojętnie
+861;1;1;0;fascynacją
+320;1;0;1;profesjonalny
+320;3;0;1;wszechstronny
+73;7;1;0;Ma śliczne opakowanie i flakon
+518;5;1;0;tak dużą pojemność butelki
+518;8;1;0;na tak dużą pojemność butelki
+1031;10;1;0;Jak mój mężczyzna się nimi psikał to naprawdę pięknie pachniał .
+998;12;1;0;podobno są wydajne tak jak każde perfumy od Versace
+234;1;1;0;uroczystej
+581;1;0;1;je podnosi
+836;13;1;0;Nie zawiodła m się na jego zakupie podobnie
+1104;0;0;1;przyciągającym
+1104;6;0;1;Perfumy o świeżym , przyciągającym zapachu .
+857;1;-1;0;nieudanych
+857;3;-1;0;tak zwanych nieudanych prezentów
+857;4;-1;0;z tak zwanych nieudanych prezentów
+857;6;-1;0;jeden z tak zwanych nieudanych prezentów
+857;7;0;-1;moim przypadku
+857;9;-1;0;to jeden z tak zwanych nieudanych prezentów
+368;0;1;0;ukochanym
+1172;6;1;0;nie podrażnia skóry
+366;9;0;1;radością
+638;3;1;0;w świat luksusu
+674;1;0;1;smacznym
+674;3;0;1;smacznym obiedzie
+674;5;0;-1;chwilę dla siebie
+702;4;1;-1;nie za drogi
+702;11;1;0;jest to dobry produkt i nie za drogi
+515;2;1;0;Niesamowitą
+515;6;0;1;Niesamowitą historię
+648;18;1;0;naprawdę nie czuje się , że się go nosi a biust wygląda przepięknie
+648;20;1;0;Idealny dla Pań o większym biuście
+562;5;1;0;najlepszych zakupów , jaki dokonała m
+60;3;0;-1;kobiet chcących
+60;5;1;0;poczuć się wyjątkowo
+312;11;1;0;pięknie zdobione miseczki , seksowne wiązanie między nimi
+312;16;1;0;Na uwagę zasługują pięknie zdobione miseczki , seksowne wiązanie między nimi
+707;8;0;1;O wiele lepiej komponuje się wtedy ze skórą .
+291;0;1;0;spory
+947;4;1;0;zniewalającymi aplikacjami oraz push upem
+947;8;1;0;ze zniewalającymi aplikacjami oraz push upem
+1064;1;1;0;Dobroczynne
+427;5;-1;0;Bandyci
+739;8;-1;0;Mały biust " zginie " w takim kroju .
+896;11;0;1;Dzieci
+300;6;0;1;świetnym patologiem
+300;10;0;1;być świetnym patologiem
+591;1;0;1;podczas prania
+591;7;1;-1;żadnych problemów podczas prania
+262;3;1;0;pewnej swojego sexapilu kobiety
+262;5;1;0;prawdziwej , pewnej swojego sexapilu kobiety
+262;7;1;0;dla prawdziwej , pewnej swojego sexapilu kobiety
+903;11;0;1;tylko opakowanie
+903;13;-1;0;takie nie za bardzo - korek nie wygodny i bardzo kanciaty
+903;17;-1;0;dla mnie to tylko opakowanie jest takie nie za bardzo - korek nie wygodny i bardzo kanciaty
+384;1;-1;1;szalonej
+384;3;0;1;pewnej siebie i szalonej
+384;4;0;1;kobiety pewnej siebie i szalonej
+1199;2;1;0;odwagi pierwszych żeglarzy
+802;7;1;0;tak pozytywnymi opiniami na temat tej wody
+802;10;0;-1;troszkę zaskoczona jestem tak pozytywnymi opiniami na temat tej wody .
+240;0;1;0;słonecznej
+950;3;0;1;czterdziestolecie Orędzia
+1015;6;0;-1;Tragiczny
+1015;10;0;-1;Tragiczny wypadek
+396;3;1;0;świeża
+1046;2;0;1;pracowitych ludzi
+575;5;1;0;uniwersalny design
+575;9;1;0;Biustonosz ma uniwersalny design
+1195;2;0;1;ciekawy efekt dekoracyjny
+438;8;1;0;ładne kolory - odcienie wiśni i pudrowego różu
+159;6;0;1;pachnie jak mydło
+159;9;-1;0;gigantyczna cena
+902;7;1;0;nie przeszkadza przez cały dzień noszenia
+902;8;1;0;Nie uwiera
+661;4;0;1;intensywne korzenne nuty
+282;7;1;0;do tego mają pomysłowy flakonik
+282;8;1;0;Długo się utrzymują
+486;7;1;0;odpowiedni na co dzień
+454;5;1;0;uroczy wieczór
+139;9;1;0;Biustonosz ma śliczny kolorek pięknie kształduje
+1196;3;1;0;bezpieczeństwa
+768;1;-1;0;rabunku
+768;4;0;1;młodych
+281;4;0;1;dla mnie biustonosz
+1152;5;1;0;z najbardziej popularnych perfum
+1152;9;1;0;jedne z najbardziej popularnych perfum
+1152;11;1;0;jedne z najbardziej popularnych perfum ( hugo boss , lacoste )
+83;7;1;0;ten przypadł mi do gustu
+83;11;1;0;gustuję raczej w gładkich biustonoszach ten przypadł mi do gustu
+360;8;0;1;Gucci Rush można dać jako prezent bliskiej osobie .
+585;0;0;1;Gospodarczą
+585;1;0;1;Krajową
+585;2;0;1;Krajową Izbę Gospodarczą
+585;5;0;1;poprzez Krajową Izbę Gospodarczą
+645;4;0;1;można mocną świeżość
+747;13;-1;0;błędy przyjętej przez koalicję SLD­PSL ustawy
+677;3;1;0;wyróżniający się w tłumie
+754;4;0;-1;już go nie kupie
+754;5;1;0;warty zakupu
+754;10;-1;0;to nie jest produkt warty zakupu już go nie kupie
+754;13;-1;0;myślę że to nie jest produkt warty zakupu już go nie kupie
+754;15;-1;0;pisać o tym bo myślę że to nie jest produkt warty zakupu już go nie kupie
+754;16;-1;0;więcej pisać o tym bo myślę że to nie jest produkt warty zakupu już go nie kupie
+754;18;-1;0;co więcej pisać o tym bo myślę że to nie jest produkt warty zakupu już go nie kupie
+1122;6;0;1;Jego wygląd również jest bardzo atrakcyjny .
+175;14;0;-1;Całej imprezie groziła katastrofa , mimo że istniała możliwość otrzymania odszkodowania z towarzystwa ubezpieczeniowego .
+311;5;1;0;flakon już robią wrażenie
+311;6;1;0;Ładne opakowanie
+996;0;1;0;klasycznych
+123;7;1;-1;, który nie zawiódł mnie i moich oczekiwań
+285;0;1;0;energicznych
+285;2;1;0;energicznych mężczyzn
+304;3;0;1;przynoszący zysk
+845;3;1;0;Przepiękne
+729;5;0;1;spotkania przy muzyce Jazzowej w pubie
+1175;6;0;1;Plus za ładną kokardkę pomiędzy miseczkami .
+418;2;1;0;znanych
+418;4;1;0;te przebijają wszystko
+418;9;1;0;perfum , różnych znanych marek , ale te przebijają wszystko
+418;11;1;0;wielu perfum , różnych znanych marek , ale te przebijają wszystko
+127;3;0;1;Ciekawy design butelki .
+77;6;1;0;godnym polecenia produktem
+77;9;1;-1;jego cena nie jest wygórowana
+77;11;1;0;jest on godnym polecenia produktem
+683;6;-1;0;porwanego w niedzielę
+82;6;0;1;Świetnie nadaje się na co dzień .
+76;3;-1;0;na wycieczkę
+76;7;1;0;pojechać na wycieczkę
+76;9;0;-1;dzieci z Ligoty
+76;15;0;1;dzięki którym dzieci z Ligoty będą mogły pojechać na wycieczkę
+855;1;-1;0;dość nijaki
+855;7;-1;0;wydaje się dość nijaki
+212;0;0;1;spokojnego
+212;1;1;0;gestapowskiej
+212;3;-1;0;gestapowskiej policji
+212;12;0;1;prawo do spokojnego snu
+212;14;0;1;, którą w końcu wygrały dla nich oddziały gestapowskiej policji
+212;17;-1;0;wojnę o prawo do spokojnego snu , którą w końcu wygrały dla nich oddziały gestapowskiej policji
+422;6;-1;0;walki z przestępczością gospodarczą
+422;17;0;-1;policjanci z wydziału do walki z przestępczością gospodarczą Komendy Wojewódzkiej w Olsztynie
+254;4;0;1;Buteleczka ma ładny wygląd .
+679;2;0;1;pewnej siebie kobiety
+679;4;0;1;dojrzałej oraz pewnej siebie kobiety
+679;7;0;1;dla dojrzałej oraz pewnej siebie kobiety
+679;8;0;1;Perfum dla dojrzałej oraz pewnej siebie kobiety ! !
+790;3;1;0;Działa na kobiety !
+137;0;1;0;energiczny
+137;2;1;0;energiczny zapach
+737;3;0;1;dużym
+737;19;-1;0;co jest niekomfortowe
+324;0;1;0;ognistym
+892;5;0;1;zawiera wyciągi m
+1159;1;0;1;bardzo wysoką
+1159;3;-1;0;na bardzo wysoką cenę
+1159;11;-1;0;, ze względu na bardzo wysoką cenę
+1159;17;-1;0;nie promocja ,
+609;4;0;1;ciekawym przypadkiem
+609;6;0;1;Kazio M . jest ciekawym przypadkiem .
+1044;3;1;0;pozytywne opinie
+1044;4;1;0;słyszę pozytywne opinie od kobiet
+1044;9;1;0;PUA , wiec często słyszę pozytywne opinie od kobiet
+11;2;0;-1;lider na rynku
+132;2;1;0;lekką dozą świeżości
+132;4;1;0;z lekką dozą świeżości
+257;3;1;0;intensywną pociągającą wonią
+257;7;1;0;swoim wyglądem jak i intensywną pociągającą wonią
+257;8;0;1;Kusi swoim wyglądem jak i intensywną pociągającą wonią .
+309;2;-1;0;nadmierni ku górze
+309;9;-1;0;, że biustonosz unosi się nadmierni ku górze
+991;2;1;0;zmysłowość i tajemniczość
+991;7;1;0;, idealnie podkreśla zmysłowość i tajemniczość
+973;6;0;1;porównując do zapachów tego typu marek
+973;8;0;1;Cena przystępna porównując do zapachów tego typu marek .
+318;3;1;0;jedyny w swoim rodziaju
+318;4;1;0;, jedyny w swoim rodziaju
+778;1;1;0;niepospolitym zapachu
+778;3;1;0;o niepospolitym zapachu
+693;9;1;0;stanik jako główną atrakcję
+693;11;1;0;iść na dyskotekę w koszulce pod którą widać stanik jako główną atrakcję
+693;15;1;0;, można iść na dyskotekę w koszulce pod którą widać stanik jako główną atrakcję
+117;5;0;1;znakomite miejsce na spędzenie weekendu
+710;0;1;0;aktywnymi
+713;6;0;-1;nie uwiera
+934;1;-1;0;pewni NIE
+934;2;-1;0;na pewni NIE
+934;5;-1;0;wytrawnych kobiet na pewni NIE
+916;1;0;1;najbardziej świeża
+781;4;0;1;wyboru ulubionego koloru
+781;8;0;1;opcja wyboru ulubionego koloru
+781;13;0;1;Możliwa jest opcja wyboru ulubionego koloru
+757;0;0;1;okazyjnej
+757;8;1;0;liczne promocje
+349;1;1;0;pierwszej jakości
+349;3;1;0;produkt pierwszej jakości
+898;4;0;1;Młoda
+898;7;1;0;siłą
+898;8;0;1;została
+561;12;-1;0;bicie policjantów
+561;18;1;0;polską normą
+561;30;-1;0;żeby w minimalnym stopniu zakłócały życie innych ludzi
+940;2;0;1;szczęśliwi posiadacze wanien
+940;4;0;1;niż szczęśliwi posiadacze wanien
+940;7;0;-1;fatalnych
+940;12;0;-1;fatalnych brodzików
+940;17;0;1;Posiadacze fatalnych brodzików
+695;6;0;-1;, by nie stracić swej wiarygodności
+695;14;0;1;mądry , ciekawy
+692;9;0;1;został stworzony dla starszych , dojrzałych kobiet
+665;2;0;-1;końcowym
+665;5;0;-1;końcowym gwizdku arbitra
+665;7;1;-1;zrozumiała euforia
+665;10;0;-1;Po końcowym gwizdku arbitra w ekipie gości zapanowała zrozumiała euforia .
+1083;6;1;0;Pasuje i do garnituru
+569;6;0;1;Piersi świetnie się w nim układają .
+838;14;0;-1;słabe
+838;19;0;-1;słabe tłumaczenie
+510;7;-1;0;materiał jest gryzący
+619;1;0;1;spokojna
+619;2;0;1;spokojna , sympatyczna
+619;3;0;1;spokojna , sympatyczna atmosfera
+619;6;0;1;panowała spokojna , sympatyczna atmosfera
+704;1;0;1;samej siebie
+704;2;0;1;od samej siebie
+704;4;0;-1;ucieczki od samej siebie
+1012;2;-1;0;platformersów
+1012;4;1;0;z platformersów i byłych pisowców
+1125;4;0;1;Biustonosz jest bardzo fajny .
+101;0;1;0;ślicznego
+101;1;1;0;ślicznego wyglądu
+1132;5;0;1;Bardzo ładny i kobiecy biustonosz .
+258;0;0;1;kuszący
+258;3;0;1;kuszący biustonosz
+258;4;1;0;bardzo zmysłowy
+258;6;0;1;Niepowtarzalny bardzo zmysłowy i kuszący biustonosz .
+773;0;0;1;specyficzny
+773;1;1;0;mocny
+773;6;0;1;perfumowana ma mocny , specyficzny zapach
+773;9;0;1;że ta woda perfumowana ma mocny , specyficzny zapach .
+773;10;0;1;, że ta woda perfumowana ma mocny , specyficzny zapach .
+602;7;0;1;Miss Regionu Jędrzejowskiego i Włoszczowskiego
+602;11;0;1;pięknych
+602;12;0;1;tytuł Miss Regionu Jędrzejowskiego i Włoszczowskiego
+602;16;0;1;o tytuł Miss Regionu Jędrzejowskiego i Włoszczowskiego
+851;1;-1;0;winy kierowców
+851;2;-1;0;wypadków
+851;11;0;-1;to jednak zmienić
+118;11;-1;0;Walkom rewolucyjnym
+433;9;1;0;nie jest go za dużo
+433;10;1;0;atomizer bardzo dobrze rozpyla perfum
+433;11;1;0;bardzo ładnie
+433;14;1;0;atomizer bardzo dobrze rozpyla perfum , nie jest go za dużo
+915;2;0;1;ambitny
+915;3;0;1;szlachetny
+915;5;0;1;pełen inwencji
+915;9;0;1;liberalny
+474;0;0;1;nietypowy
+270;0;0;1;późniejsze
+270;5;0;-1;oskarżeni o jego późniejsze zabójstwo
+536;6;0;1;Podoba mi się oszczędny design flakonika .
+785;4;0;1;charakterystyczny
+785;5;1;0;oryginalny
+785;8;1;0;bardzo oryginalny i charakterystyczny
+785;11;1;0;bardzo oryginalny i charakterystyczny zapach , który zapada w pamięć
+594;11;1;0;bardzo towarzyski
+594;14;0;1;żyje całymi koloniami
+428;10;1;0;biały i czarny co daje mu estetyczny wygląd
+987;2;1;0;podnosić
+987;8;0;1;tzw efekt push
+1146;4;1;0;renomowanej marki jaką
+1146;7;0;1;Dolce & Gabbana
+1146;8;1;0;Woda toaletowa renomowanej marki jaką
+447;1;0;-1;moim mężczyźnie
+435;3;1;0;Gabana niczego sobie prześliczny
+1058;3;1;-1;przystępna cena
+535;5;1;0;również nieźle nadaje się na prezent
+535;9;1;0;, że również nieźle nadaje się na prezent
+684;8;1;-1;to jeden z najlepszych męskich perfumów na naszym rynku
+684;12;1;0;, że jest to jeden z najlepszych męskich perfumów na naszym rynku
+929;8;0;1;elegancką bluzkę na Sylwestra
+929;16;1;0;okazało się , że doskonale się sprawdza na codzień
+243;11;1;0;stylową zadbaną i uwodzicielską kobietą , która wie czego chce od życia
+243;13;1;0;ze stylową zadbaną i uwodzicielską kobietą , która wie czego chce od życia
+57;4;1;0;ja marzę
+57;5;1;0;ja marzę aby mieć taki stanik
+57;8;1;0;wy ale ja marzę aby mieć taki stanik
+574;1;-1;0;ją zabić
+703;1;0;-1;gruby błąd
+363;8;0;1;warta
+363;12;0;1;Mimo wysokiej ceny
+248;7;1;0;pocałowali śmy się
+551;16;1;0;wiąże go z różnymi sytuacjami , zpach dobry do wspomnień
+551;17;0;1;tak właśnie kojarzy mi się ten zapach
+358;2;0;1;piękną tradycję
+358;4;0;-1;jacyś ekstremiści
+358;7;0;-1;jak jacyś ekstremiści
+722;2;1;0;miłością Ducha
+722;3;0;1;mądrością
+960;9;-1;1;nie dawało to przyjemnego efektu
+1034;5;1;0;. i ma prześliczny zapach .
+810;4;1;0;ukochane
+405;5;1;0;Różnorodne
+484;0;0;1;pojemny
+484;1;0;1;pojemny kształt
+484;2;1;0;poręczny
+794;0;1;0;skromniejsze
+794;4;0;1;Pięknie podkreśla skromniejsze kształty .
+1014;5;0;1;Bardzo wysokie
+1110;2;1;0;pewnych siebie
+1110;3;1;0;pewnych siebie i zdecydowanych
+798;0;1;0;oryginalnej
+579;4;1;0;, który jednocześnie pociąga
+1186;4;0;-1;zaniechania
+1186;5;-1;0;błędy
+888;13;-1;0;zupełnie nie obrazują tego co się w nich znajduje
+889;9;0;1;wspaniały prezent
+608;9;0;1;Długo utrzymuje się na skórze i ma wygodny flakonik .
+972;1;-1;0;czynną napaść
+972;2;0;-1;sprawców
+369;14;0;1;uroczystości Wielkiego Tygodnia
+369;16;0;1;czasie uroczystości Wielkiego Tygodnia
+765;11;0;1;Gąsowski , też jakby urzeczony
+297;1;0;1;cudowne uczucie
+573;0;0;1;fajnych
+573;2;0;1;fajnych rodziców
+573;5;0;1;cztery włosy i fajnych rodziców
+99;6;0;1;Dobrze spisuje się przy większym dekolcie .
+152;1;0;1;niezwykłym miejscu
+152;2;0;1;w niezwykłym miejscu
+280;9;1;0;O tych perfumach marzę już chyba od 5 lat .
+880;3;1;0;zdecydowaną
+4;1;0;1;pięknie wyszywanego
+4;2;0;1;pięknie wyszywanego fraka
+4;6;0;1;Rękaw pięknie wyszywanego fraka
+1005;9;1;0;Piersi wyglądają pięknie
+1005;10;0;1;Piersi wyglądają pięknie i sexsownie , kolor także bardzo ładny .
+834;3;0;1;aktywny
+837;7;1;0;bardzo trwały
+837;11;1;0;Produkt bardzo trwały ,
+837;12;0;1;Produkt bardzo trwały , już jedno psiknięcie starczy na bardzo długi czas .
+444;4;0;1;chyba najbardziej znany
+514;0;0;1;rewelacyjnie
+514;6;1;0;nie działa rewelacyjnie jak ten
+50;8;1;0;opcja wyboru ulubionego koloru
+50;13;1;0;Możliwa jest opcja wyboru ulubionego koloru
+1121;2;0;1;adekwatna do produktu
+897;9;0;1;Biustonosz poza tym fajnie utrzymuje biust i jest wygodny .
+370;2;1;0;markowych
+89;7;-1;0;Po praniu nie traci kolorów i fasonu .
+431;0;-1;0;przereklamowanym
+431;1;-1;0;przereklamowanym produktem
+431;2;-1;0;jest przereklamowanym produktem
+431;6;-1;0;No 5 jest przereklamowanym produktem
+345;1;1;0;prawdziwego
+345;4;0;1;Tak pachnący
+345;11;0;1;Tak pachnący facet robi wrażenie prawdziwego samca który
+154;6;1;0;Doskonale się sprawdzi na wieczorne wyjścia .
+1190;5;0;1;przyjemnego pobytu
+1190;8;0;1;Tylko współlokatorka nie rokowała przyjemnego pobytu . . .
+1099;4;1;0;lubić
+495;1;0;1;miłości
+992;1;-1;0;złości
+992;8;0;-1;rzuca głośno soczyste przekleństwa
+992;9;0;-1;w złości kopie ławkę
+779;0;-1;1;złych
+779;3;0;1;grzesznych namiętności
+779;7;0;1;wolny od grzesznych namiętności i złych myśli
+1194;11;0;-1;prawdopodobne
+1194;14;0;-1;prawdopodobne źródło zarówno aktywności proteolitycznej , jak i białek cytoplazmatycznych w puli niehistonowej
+513;8;1;0;najlepsza perfuma jakiej dotąd używał
+317;3;0;1;ponadczasową
+317;5;0;1;za ponadczasową
+317;18;0;1;Sylwetka Golfa w porównaniu z agresywnymi liniami Focusa wygląda spokojnie
+205;6;0;1;seksownego
+205;9;1;0;coś seksownego , o znakomitym dizajnie i stylu
+555;10;1;0;sprawia , że biust prezentuje się dobrze
+997;7;1;0;tanich
+7;9;0;1;najważniejsze w tym biustonoszu
+936;0;1;0;ślicznego
+936;1;1;0;ślicznego wyglądu
+936;4;0;1;Nadaje biustowi ślicznego wyglądu .
+113;2;0;1;miły wieczór
+644;5;1;0;bardzo ładny i wyjtakowy
+644;6;0;1;ze ten biustonosz
+644;8;1;0;, ze ten biustonosz jest bardzo ładny i wyjtakowy
+644;10;1;0;Sadze , ze ten biustonosz jest bardzo ładny i wyjtakowy
+414;4;0;-1;wytrzymałe
+90;8;0;1;Dobry na wieczorne wyjścia i do codziennego użytkowania .
+296;1;0;1;Pałacu Prezydenckim
+296;3;0;1;w Pałacu Prezydenckim
+296;5;1;0;uroczystości wręczenia stypendiów w Pałacu Prezydenckim
+701;0;1;0;obowiązkowe
+701;7;0;1;zachwycająca
+1029;2;1;0;bardzo ,
+1029;3;1;0;bardzo , bardzo trwały
+1029;5;1;0;kosmetyk bardzo , bardzo trwały
+161;1;0;1;bardzo klasyczna
+94;0;1;0;młodego
+145;9;1;0;przychylność tamtejszych środowisk żydowskich
+342;3;1;0;najbardziej ulubionych
+342;6;1;0;moich najbardziej ulubionych męskich zapachów
+315;8;1;0;, dodając im odrobinę luksusu
+30;1;-1;0;konfliktu
+30;3;0;1;stronami konfliktu
+30;5;0;1;między stronami konfliktu
+30;10;0;1;mediacjach między stronami konfliktu
+30;13;0;1;w mediacjach między stronami konfliktu
+1171;6;0;1;Prezentowany produkt jest w przystępnej cenie .
+497;4;0;1;bardzo mocny
+374;4;0;-1;wypadkach drogowych
+374;8;-1;0;rany
+374;17;0;-1;Rocznie na świecie ponad milion osób ginie w wypadkach drogowych
+937;0;0;1;diabłem
+937;1;0;1;z diabłem
+937;3;-1;0;przyjacielskiej pogawędce z diabłem
+937;7;0;1;pogrążonego w przyjacielskiej pogawędce z diabłem
+201;2;1;0;pewnej siebie kobiety
+201;4;1;0;dojrzałej oraz pewnej siebie kobiety
+900;6;0;1;Według mnie to zapach godny polecenia .
+387;7;0;1;oczywiście tradycyjnym
+387;14;0;1;przepełniony
+387;17;1;0;przepełniony pożądaniem , luksusem i oczywiście tradycyjnym śródziemnomorskim stylem
+387;20;0;1;nowy
+387;23;1;0;całkiem nowy zapach stworzony przez włoski zespół projektantów Domenico Dolce i Stefano Gabbana , przepełniony pożądaniem , luksusem i oczywiście tradycyjnym śródziemnomorskim stylem
+214;8;0;1;Bardzo dobrze leży , dopasowuje się do figury .
+668;0;0;1;młodą
+668;1;0;1;lekkim
+668;3;-1;0;lekkim wyrzutem
+668;5;0;1;na młodą koleżankę
+509;2;0;1;kobiet romantycznych
+507;1;-1;0;wymagające
+567;1;0;1;zmysłowy
+567;2;0;1;bardzo intensywny
+567;3;1;0;bardzo intensywny , zmysłowy
+875;4;-1;0;trochę za duża przez co
+1138;3;1;0;ergonomiczny kształt flakoniku
+37;7;1;0;niesamowicie sexowny
+37;8;1;0;Biustonosz Konrad Cyganeria jest bardzo efektowny
+198;1;-1;1;dramatyczną
+156;9;0;-1;, który zginął w zamachu terrorystycznym ,
+156;20;1;0;.
+1149;2;-1;0;wyrzucone w błoto
+1149;4;-1;0;pieniądze wyrzucone w błoto
+138;16;1;0;wyszyty jest przepiękny i na pewno jak zobaczyła by m go w sklepie kupiła by m sobie
+138;20;1;0;, którym jest wyszyty jest przepiękny i na pewno jak zobaczyła by m go w sklepie kupiła by m sobie
+627;0;1;0;słodyczy
+38;6;1;0;Fajna sprawa
+412;1;0;1;praktyczne
+412;3;0;1;konkretne
+412;4;1;0;poparcie
+412;5;1;0;uznanie
+412;12;0;1;Twoje inicjatywy , konkretne , praktyczne i pożyteczne ,
+1184;2;0;1;rzadko widywanych bliskich
+1184;3;0;1;odpowiedniego
+1184;5;0;1;odpowiedniego wrażenia
+1115;7;0;1;urocze hafty , które dodadzą tajmeniczości
+1115;11;1;0;zaintrygują partnera
+1115;12;0;1;Wkoło biustu widnieją także urocze hafty , które dodadzą tajmeniczości
+689;0;1;0;oryginalny
+801;10;0;-1;Ta wersja zapachu znacznie różni się od klasycznej wersji no .
+1118;14;1;0;Sukienka też lepiej leży i nie widzą wszyscy , że się robi nam chłodno
+52;12;0;1;Woda dolce Gabbana jest jedną z najlepszych wód toaletowych na rynku światowym .
+1070;4;1;0;nie pomagać biednym .
+1070;6;0;1;W Polsce lepiej nie pomagać biednym .
+749;8;1;0;) Stanik jest usztywniany , z przyjemnego materiału .
+749;9;1;0;: ) Stanik jest usztywniany , z przyjemnego materiału .
+749;10;1;0;wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;14;1;0;wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;18;1;0;niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;20;1;0;do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;22;1;0;push-up załączone są do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;23;1;0;to push-up załączone są do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;24;1;0;że to push-up załączone są do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;25;1;0;, że to push-up załączone są do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+164;13;1;0;wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce
+446;8;1;0;rewelacyjna , odświeżająca
+446;10;0;1;o podobnym zapachu
+446;19;1;0;stworzenie odświeżacza o podobnym zapachu : ) Jak dla mnie rewelacyjna , odświeżająca woda
+446;24;1;0;o stworzenie odświeżacza o podobnym zapachu : ) Jak dla mnie rewelacyjna , odświeżająca woda
+492;5;0;1;na wakacyjny , letni zapach
+492;7;0;1;Fajny pomysł na wakacyjny , letni zapach .
+1131;4;-1;0;tragicznie wyglądający
+1131;8;-1;0;Taki z pozoru tragicznie wyglądający biustonosz
+682;8;1;0;swoistej klasy , charakteru , zdecydowanej męskiej nuty .
+682;11;-1;0;Brak w nim swoistej klasy , charakteru , zdecydowanej męskiej nuty .
+102;1;1;0;ozdobną
+776;7;0;1;, czy jestem dzięki feminizmowi szczęśliwsza
+1158;5;1;0;Różnorodne
+400;0;1;0;wiosennym
+1126;4;0;1;Wykonany w atrakcyjnej kolorystyce .
+533;5;0;1;Gładki i przyjemny w dotyku .
+224;1;-1;0;oszpecić suknię
+224;4;-1;0;, które mogły oszpecić suknię
+224;5;1;-1;twarde
+224;7;-1;0;twarde miseczki , które mogły oszpecić suknię
+224;10;-1;0;na twarde miseczki , które mogły oszpecić suknię
+548;9;-1;0;porwana wczoraj przez 65-letniego mężczyznę w Chorzowie na Śląsku
+376;4;0;1;najczulszym instrumentem
+890;1;0;1;pewnych zasad
+890;3;0;1;według pewnych zasad
+890;9;0;1;harmonijnego ułożenia życia społecznego i organizowania go według pewnych zasad
+890;11;0;1;sposób harmonijnego ułożenia życia społecznego i organizowania go według pewnych zasad
+1155;3;1;0;uznaną
+1155;6;1;0;uznaną markę w świecie perfum
+283;1;-1;1;niezbyt ładny
+283;3;-1;1;flakonik niezbyt ładny
+283;4;0;1;Jedynie flakonik niezbyt ładny .
+1073;7;0;1;Gorsenia Biustonosz koktailowy to bardzo fajna nowość .
+1116;1;-1;1;najgorszy
+1116;4;-1;1;najgorszy biustonosz jaki
+1116;6;-1;1;najgorszy biustonosz jaki zdarzyło
+1116;7;-1;0;to najgorszy biustonosz jaki zdarzyło mi się nosić
+1116;10;-1;0;, że to najgorszy biustonosz jaki zdarzyło mi się nosić
+1006;4;0;-1;katastrofy
+1006;14;0;1;szans na przeżycie w lodowatej wodzie
+886;8;0;-1;bardzo lekki zapach
+69;3;1;0;przypaść do gustu
+69;4;-1;0;nie każdemu
+69;11;0;1;rewelacyjna , ale wiadomo , że nie każdemu może przypaść do gustu
+711;12;1;0;Zwraca uwagę ludzi w otoczeniu i wywołuje liczne , choć przyjemne komentarze
+653;9;1;0;. flakonik też niepowtarzalny z kokardką kojarzy się bardzo dziwczęco
+686;5;0;1;modne
+686;11;0;1;zainstalować to modne urządzenie jedynie w kuchni i w wozowni
+686;12;0;1;U siebie
+686;13;0;1;U siebie pozwolił zainstalować to modne urządzenie jedynie w kuchni i w wozowni .
+1055;9;0;1;zapach kwiatowy
+1055;12;0;1;bardzo mocny , nie każdemu spodoba się
+61;13;1;0;Zapach super ,
+61;24;1;0;) Zapach super , baaardzo trwały , mega owocowy , a do tego wcale a wcale nie czuć w nim alkoholu
+1018;1;-1;0;dość wygórowanej
+1018;4;-1;0;swej dość wygórowanej ceny
+1018;5;0;1;Blue wart
+1018;6;0;1;Blue wart jest swej dość wygórowanej ceny
+1018;7;0;1;Light Blue wart jest swej dość wygórowanej ceny
+1018;9;0;1;Sądzę Light Blue wart jest swej dość wygórowanej ceny
+1018;10;0;1;Sądzę że Light Blue wart jest swej dość wygórowanej ceny .
+1050;3;0;1;duże koronki
+420;3;0;1;do tego zapachu
+763;0;1;0;rozumu
+763;1;-1;0;pozbawioną rozumu
+763;2;-1;0;głupią
+763;3;0;-1;głupią albo pozbawioną rozumu
+353;9;0;1;Na co dzień przytłacza swą intensywnością
+272;0;0;1;historyczną
+272;4;1;0;sporą wartość historyczną
+146;0;-1;0;kwaśny
+356;5;0;-1;za taki produkt
+149;1;-1;0;przereklamowany
+149;2;0;-1;No 5
+149;6;0;1;Chanel No 5
+149;9;0;1;Jak dla mnie Chanel No 5 to przereklamowany zapach .
+813;0;1;0;wrażliwej
+813;11;1;0;Sam się odpowiednio układa
+307;0;1;0;najmłodszych
+307;5;0;1;naprzeciw oczekiwaniom tych najmłodszych klientów
+307;8;0;1;wyjść naprzeciw oczekiwaniom tych najmłodszych klientów
+706;9;1;0;Przez tyle wieków pomagali śmy Zachodowi w charakterze przedmurza .
+705;3;-1;0;Zabili kilku napastników .
+170;2;0;1;nie wygórowana
+170;3;0;1;oryginalne perfumy
+170;6;0;-1;być nie wygórowana
+170;9;0;1;za oryginalne perfumy
+269;7;0;1;To zwierzę wyróżnia się umiejętnością niesienia pomocy .
+1108;10;1;0;, który mnie osobiście bardzo odpowiada
+930;6;-1;1;, na której trudno znaleźć sposób aplikacji
+930;8;-1;0;metalowa kula , na której trudno znaleźć sposób aplikacji
+930;11;-1;0;– metalowa kula , na której trudno znaleźć sposób aplikacji
+930;12;0;1;niezwykle oryginalny
+956;7;0;1;Christian Dior J`adore to naprawdę przepiękny zapach .
+948;2;0;1;namiętny
+948;5;0;1;namiętny zapach
+948;7;0;1;Bardzo gorący namiętny zapach tak jak miłość .
+770;1;0;1;poszukiwanych produktów
+770;2;0;1;kupno poszukiwanych produktów
+770;4;0;1;na kupno poszukiwanych produktów
+770;5;0;1;najkorzystniejsze
+770;7;0;1;najkorzystniejsze oferty na kupno poszukiwanych produktów
+770;11;0;1;, która na zlecenie klientów wykorzystuje najkorzystniejsze oferty na kupno poszukiwanych produktów
+313;3;1;0;zadowolona z tego produktu
+313;7;1;0;w 100% zadowolona z tego produktu
+313;12;1;0;Jestem w 100% zadowolona z tego produktu , a koleżanki mi zazdroszczą
+764;2;0;1;młodych
+869;6;-1;0;Nastroszony
+182;5;0;1;ulubionych
+953;0;1;0;silny
+953;2;0;1;silny zapach
+589;0;-1;0;bladymi
+589;5;-1;0;naprawdę tandetnie
+589;9;0;1;z bladymi kolorami
+589;10;-1;0;prosiaczkowy róż
+589;12;-1;1;, że ten biustonosz wygląda naprawdę tandetnie
+589;13;-1;1;prosiaczkowy róż z bladymi kolorami sprawiają
+862;6;0;1;- zapach
+423;7;0;1;naturalnym
+840;8;0;1;Świetnie się sprawdza przy wieczorowych , wydekoltowanych sukienkach .
+1080;0;-1;0;niemęczący
+1080;2;1;0;niemęczący zapach
+989;6;0;1;przezroczystą , gładką
+989;13;0;1;Ma ładny kwiatowy motyw który ciekawie wygląda pod przezroczystą , gładką letnia bluzeczką .
+51;0;-1;0;ciosu
+51;11;0;-1;Bez sprzeciwu
+691;2;0;-1;dość cienkie
+691;8;0;1;nie odznacza się pod bluzką
+1021;7;0;1;Dla mnie to idealne perfumy na dzień .
+582;1;-1;1;trudno dostępny
+582;4;-1;1;drogi i trudno dostępny
+925;11;1;0;Mimo wszytsko faktycznie bardzo ładny , zmysłowy ,
+925;12;0;1;Mimo wszytsko faktycznie bardzo ładny , zmysłowy , bardzo wyrafinowany zapach kobiecy .
+403;2;1;0;świetnych zapachów
+171;9;1;0;100 ml wystarczyło mi na pół roku codziennego użytkowania .
+350;6;1;0;" energią " , dla ludzi młodych
+350;8;1;0;z " energią " , dla ludzi młodych
+335;0;1;0;najładniejsze
+335;2;0;1;najstarsze i najładniejsze
+335;4;0;1;najstarsze i najładniejsze kostiumy
+1142;4;0;1;na świeżym powietrzu
+1142;10;0;1;przebywamy na świeżym powietrzu
+439;5;-1;0;nie dla kobiet
+121;4;1;0;święto
+1197;11;0;1;serbski
\ No newline at end of file
diff --git a/results/Predykcje/klasyfikacje_bledne_bez_slow.txt b/results/Predykcje/klasyfikacje_bledne_bez_slow.txt
new file mode 100644
index 0000000..cd0e368
--- /dev/null
+++ b/results/Predykcje/klasyfikacje_bledne_bez_slow.txt
@@ -0,0 +1,1221 @@
+id_zdania; pozycja_korenia_frazy_w_zdaniu; etykieta; wskazanie_modelu; fraza 
+348;8;0;1;Woda perfumowana Lacoste Pour Femme ma śliczny zapach .
+870;2;0;1;wspaniałe słodkości
+225;9;0;1;Dobry zarówno na dzień jak i na wieczorne wyjście .
+67;4;1;0;dość przystępna
+67;8;1;0;Cena dość przystępna
+216;4;0;1;z relacji z najbliższymi
+216;6;0;1;dobrą samoocenę
+216;14;0;1;jednak mieć dobrą samoocenę , lubić siebie
+470;9;1;0;, że stosowny tylko dla kobiet o wyrafinowanych gustach
+380;6;0;1;Świetnie nadaje się pod koszulę nocną .
+1009;11;0;1;Dla każdej kobiety pewnej swojej kobiecości , zdecydowanej ,
+1009;12;0;1;Dla każdej kobiety pewnej swojej kobiecości , zdecydowanej , oraz dla romantyczki .
+1069;4;0;1;cienkie lekkie sukienki i bluzeczki
+1069;12;1;0;nie ppowoduje podrażnień
+20;1;1;-1;czarnej magii
+20;8;0;-1;ofiarą oskarżeń o uprawianie czarnej magii
+556;23;0;1;Do dziś dziękuję Bogu , że trafił em na takich porządnych ludzi , którzy dali nam dach nad głową i przysłowiowy talerz zupy .
+1105;5;0;1;, jednak słodki i owocowy
+445;12;0;1;Nie wyróżnia się pod sukienką
+830;1;1;0;energicznej dziewczyny
+830;4;0;1;jak i energicznej dziewczyny
+419;6;0;1;A do tego kobiety go uwielbiają .
+228;3;1;0;Świetna butelka
+604;1;0;1;bardziej odważnych
+325;2;0;1;cieszących się życiem
+325;4;0;1;kobiet cieszących się życiem
+95;7;1;0;uczucie świeżości na dłużej
+95;12;1;0;dają uczucie świeżości na dłużej
+1161;4;1;0;Dobre wrażenie
+882;10;1;0;jestem z niego zadowolona , mimo wysokiej ceny
+109;3;0;1;na każdą sylwetkę
+570;6;1;0;kobiety romantycznej i eterycznej , nienachalny
+167;11;0;1;całkiem fajna woda , ale w sumie mogła by być bardziej trwała
+104;3;1;0;korzyści majątkowych
+104;8;0;-1;przewiezieniu do Jeleniej Góry
+673;6;0;1;druciki wychodzą
+673;8;-1;0;Fiszbiny również są kiepskie
+673;9;-1;0;Fiszbiny również są kiepskie - druciki wychodzą i kłują .
+958;1;0;1;optycznie powiększone
+1180;13;0;-1;metalowym krzesłem
+774;9;1;0;bardzo ja sobie chwali
+774;10;0;1;Mój chłopak teraz używa tej wody
+774;11;0;1;Mój chłopak teraz używa tej wody i bardzo ja sobie chwali .
+772;10;1;0;Cena nie jest wygórowana
+935;6;0;1;Pięknie wykonany i bardzo ozdobny biustonosz .
+917;3;-1;0;moim mrocznym świecie
+917;8;-1;0;w moim mrocznym świecie
+1185;1;0;1;zdrowy rozsądek
+1185;7;0;1;silniejsze niż zdrowy rozsądek
+807;3;0;-1;produktem markowym
+1130;7;1;0;odpinane ramiączka więc to jest dodatkowym plusem
+771;8;1;0;owocowo - kwiatowy zapach , pełen życia i energii
+771;13;1;0;Gabbana Light Blue to owocowo - kwiatowy zapach , pełen życia i energii
+24;6;1;0;Pasuje do mężczyzny
+0;6;0;1;Podoba mi się oszczędny design flakonika .
+769;3;0;1;ten elegancki sposób
+769;9;0;1;szanować gości
+218;6;1;0;wystarcza spokojnie na około 10 miesięcy .
+1074;3;0;1;wśród wszystkich zapachów
+559;4;0;1;Stanik jest naprawdę super .
+74;7;0;1;bardzo dokładnie wykończony
+74;11;0;1;Biustonosz jest bardzo dokładnie wykończony
+1189;3;0;1;wierny pies
+378;3;0;1;wysoka ale
+378;7;-1;0;Cena wysoka ale ta marka
+727;2;1;0;równocześnie sexowny
+727;5;1;0;bardzo elegancki a równocześnie sexowny
+628;6;1;0;Jedno psiuknięcie wystarczy na cały dzień .
+633;7;0;1;Założony bardzo dobrze modeluje i układa piersi .
+658;5;1;0;na wyjątkowe wieczory
+797;3;0;1;Zapach godny pozazdroszczenia .
+698;1;1;0;kobiety nowoczesnej
+698;2;1;0;dla kobiety nowoczesnej
+221;4;0;1;na prezent i randki
+1148;1;1;0;najwyższej półki
+1148;8;0;1;Perfumy choć z najwyższej półki nie są najdroższe .
+1042;2;0;1;o dorodnym biuście
+1042;4;0;1;dla pań o dorodnym biuście
+1042;5;0;1;myślą dla pań o dorodnym biuście
+1042;7;0;1;z myślą dla pań o dorodnym biuście
+1042;8;0;1;Przygotowany z myślą dla pań o dorodnym biuście .
+321;6;0;1;Podobają się ramiączka zdobione ślicznym haftem .
+226;7;0;1;przeznaczony dla kobiet z większym biustem
+226;9;0;1;Bardzo wygodny bistonosz przeznaczony dla kobiet z większym biustem .
+667;8;0;1;Ma bardzo ładny wygląd i jest solidnie wykonany .
+334;4;1;0;górnej półki
+334;9;1;0;już z górnej półki
+334;13;1;0;, które są już z górnej półki ,
+334;16;1;0;Perfumy , które są już z górnej półki ,
+334;17;0;1;Perfumy , które są już z górnej półki , ale uważam , że o dość przystępnej cenie .
+1112;13;1;0;najchętniej używany zapach tej firmy
+750;2;-1;0;jej śmierci
+750;5;0;1;naprawdę niemały
+346;10;1;0;jest przy tym niezwykle wygodny i wytrzymały
+587;27;0;1;Z jednej strony
+1169;3;0;1;nie wyróżniający się
+1169;4;0;-1;zwyczajny niczym
+1169;6;0;1;nie wyróżniający się staniczek
+1169;7;0;-1;na zwyczajny niczym
+919;7;0;1;idealne układa piersi i podtrzymuje je doskonale .
+780;13;0;1;bardzo udany model , sprawdza się przy większym biuście , świetnie utrzymuje biust .
+68;1;0;-1;dotkniętego nieszczęściem
+1135;2;0;1;pełne i jędrne
+1135;4;0;1;na pełne i jędrne
+1135;6;0;1;Piersi wyglądają na pełne i jędrne .
+1086;5;0;1;No i ten śliczny flakonik .
+141;5;0;1;fascynacji i wzajemnego przyciągania siebie
+141;6;0;1;ludzkiej miłości
+141;9;0;1;siłę fascynacji i wzajemnego przyciągania siebie
+141;10;0;1;smaku ludzkiej miłości
+141;13;0;1;odkrywają siłę fascynacji i wzajemnego przyciągania siebie
+1192;3;-1;0;chorobami serca
+322;6;-1;0;Nie drażni nawet po całym dniu .
+284;3;1;0;każdej wyjątkowej kobiety
+278;3;1;0;w bardzo ciekawym kształcie
+278;6;1;0;opakowanie w bardzo ciekawym kształcie
+278;8;0;1;Kolejnym plusem jest opakowanie w bardzo ciekawym kształcie .
+726;2;0;1;pełen seksu
+726;5;0;1;For Men
+726;8;0;1;2U For Men
+1097;7;1;0;Orzeźwiający i kwiatowy
+580;2;0;-1;eskalacji protestów
+550;7;1;0;zapach świeży , owocowy , przypominający mi grejpfruta
+550;9;1;0;, zapach świeży , owocowy , przypominający mi grejpfruta
+519;3;1;0;prześliczny biustonosz
+475;7;1;0;pieknyi zapach , intensywny ,
+475;9;1;0;Bardzo pieknyi zapach , intensywny , długo utrzymujący się .
+371;2;0;1;dla kobiety zmysłowej
+371;6;0;1;Perfumy wprost idealne dla kobiety zmysłowej .
+724;7;0;1;Zróżnicowana pojemność wiec i cena
+1007;13;1;0;Kochamy Polskę
+252;5;0;1;, dzięki którym powstała nasza placówka
+1072;4;0;1;Posiada dość ciekawy wygląd .
+265;5;0;1;chętny do spędzania czasu przy kolacji
+22;10;1;0;Znam wiele kobiet , które używają właśnie tej wody toaletowej .
+295;5;0;1;jakimi do tej pory
+605;7;1;0;świetny wybór na każdego rodzaju prezent
+502;5;0;1;poczuć prawdziwy zapach
+40;9;1;0;, nad którymi tak dużo osób się zachwyca
+643;4;0;1;Talent już nie wystarcza .
+235;6;1;0;naprawdę świecący kryształ wśród wszystkich zapachów
+268;8;0;1;Idealnie unosi biust i nadaje mu odpowiedni kształt .
+195;3;-1;0;okropny design flakonu
+222;3;0;1;ostry odświeżacz powietrza
+222;5;0;1;Zapachem przypominają ostry odświeżacz powietrza .
+1022;6;-1;0;drogi zapach
+1022;11;1;0;na pewno wart swojej ceny
+1022;12;-1;0;1 Million to drogi zapach , ale
+129;3;0;1;reklama choć efektowna
+129;7;0;1;, że reklama choć efektowna nie działa
+1095;5;0;1;Zapach niezwykle trwały i intrygujący .
+680;1;0;1;dość wysokiej
+680;8;0;1;Biustonosz pomimo dość wysokiej ceny wygląda bardzo sexy .
+105;11;-1;0;śmierci kompozytora
+632;5;0;1;, który pomógł bitemu policjantowi ,
+8;8;1;0;, czy ksiądz przyznał się do stawianych mu zarzutów
+8;30;0;-1;Rzecznik Prokuratury Okręgowej w Łodzi Krzysztof Kopania , zasłaniając się dobrem postępowania , odmówił na tym etapie śledztwa odpowiedzi na pytanie , czy ksiądz przyznał się do stawianych mu zarzutów .
+392;5;1;0;ponadczasowa woda toaletowa dla mężczyzny
+1193;9;0;1;naszych zasad
+526;9;-1;0;zbyt twarde fiszbiny , które wbijają się w skórę
+671;3;1;0;- śliczny odcień różu
+671;6;1;0;kobiecy kolor - śliczny odcień różu
+330;6;1;0;Dobrze przylega do ciała
+1173;4;1;0;doskonały prezent dla kobiety
+597;7;1;0;warta całego zachodu
+181;4;0;1;wszystkim gorąco tą wodę
+5;3;0;1;wśród męskich zapachów
+5;4;1;0;Ideał wśród męskich zapachów !
+1139;2;1;0;moje ukochane perfumy
+1139;3;1;0;będą moje ukochane perfumy
+1139;7;1;0;" to na zawsze będą moje ukochane perfumy
+1139;8;1;0;żółta " to na zawsze będą moje ukochane perfumy
+1139;10;1;0;" żółta " to na zawsze będą moje ukochane perfumy
+1;5;0;1;Zapach słodki i przepełniony optymizmem .
+174;7;1;0;jest praktyczny dla małych piersi
+525;1;1;0;zapach przecudowny
+525;5;1;0;- zapach przecudowny
+525;11;1;0;100% - zapach przecudowny
+525;14;1;0;w 100% - zapach przecudowny
+482;8;1;0;Uwydatni kobiece kształty
+200;6;0;1;, że takie są teraz w modzie
+200;7;0;1;wiem , że takie są teraz w modzie
+200;9;0;1;, choć wiem , że takie są teraz w modzie
+200;14;0;1;, dziwny kształt , choć wiem , że takie są teraz w modzie
+200;19;0;1;Mi osobiście do gustu nie przypadł , dziwny kształt , choć wiem , że takie są teraz w modzie .
+493;13;1;0;: 10 daje 9 to jest jedyna woda ktorą kupie jeszcze raz
+595;3;0;-1;zysku za 1994 rok
+595;5;1;0;nagrodach z zysku za 1994 rok
+831;1;0;1;wspaniałym Kodaku
+831;4;0;1;we wspaniałym Kodaku
+782;6;0;1;w kwestii gustów się nie dyskutuje
+1084;4;1;0;nuty lekkie , świeże
+1017;5;0;1;pełen podziwu wzrok
+1188;5;1;0;cud wiosny
+730;1;0;1;oka błękitnej
+993;5;-1;1;naprawdę jak dla mnie okropny
+879;3;0;1;mu uroku
+879;4;1;0;Przecudowny haft
+879;5;0;1;Przecudowny haft dodaję mu uroku .
+472;5;1;0;najlepszych domów mody
+172;3;1;0;- śliczny odcień różu
+172;6;1;0;kobiecy kolor - śliczny odcień różu
+669;2;1;0;drapieżnej i zmysłowej
+669;4;1;0;pewnej siebie drapieżnej i zmysłowej
+669;5;1;0;kobiety pewnej siebie drapieżnej i zmysłowej
+616;7;1;0;Bardzo kobiece
+962;8;0;1;wystarcza na wiele użyć
+624;7;1;0;zpach dobry do wspomnień
+624;16;1;0;wiąże go z różnymi sytuacjami , zpach dobry do wspomnień
+365;6;1;0;Obecnie korzystam już z drugiego flakonu .
+230;8;1;0;dla mnie produkt ten wart jest każdej ceny
+230;9;0;1;Jak dla mnie produkt ten wart jest każdej ceny .
+436;9;0;1;Nie do każdej osoby pasuje
+436;10;0;1;Nie do każdej osoby pasuje , perfumy trzeba dobierać według osobowości
+411;14;0;1;Nie zawiodła m się na jego zakupie podobnie jak na innej bieliźnie firmy Triumph .
+264;4;-1;1;nie praktyczny
+264;5;-1;0;Stanik bardzo niewygodny
+694;6;0;-1;nie uwiera
+1001;3;1;0;z pewnością
+1001;7;1;0;, który spodoba się z pewnością każdej kobiecie
+965;8;1;0;Swój szybki rozwój
+965;9;0;1;Swój szybki rozwój zawdzięczało korzystnemu położeniu na skrzyżowaniu dróg .
+151;3;1;0;dość pozytywny
+301;1;1;0;silnym charakterem
+301;2;1;0;z silnym charakterem
+301;5;1;0;osobom pewnym siebie z silnym charakterem
+301;7;1;0;go osobom pewnym siebie z silnym charakterem
+357;2;0;1;dla kobiet
+357;5;0;-1;nie dla kobiet
+357;8;0;1;To prawdziwa trucizna , ale nie dla kobiet .
+593;8;0;1;Radosny uśmiech
+593;9;0;1;Radosny uśmiech nie gościł jednak na twarzy pana Adama .
+532;5;0;1;nowoczesnym stylu
+532;9;0;1;w nowoczesnym stylu
+823;7;1;0;Mój ukochany zapach ,
+617;4;0;1;skłonne do ufności i entuzjazmu
+922;1;0;1;słodką nutą
+922;5;0;1;kobiecy zapach
+846;6;1;0;bardzo ładnie
+846;8;0;1;Niespotykany kolor bardzo ładnie prezentuje się na ciele .
+13;1;1;0;wysmakowanych mężczyzn
+13;5;1;0;Letnia propozycja dla wysmakowanych mężczyzn .
+642;2;1;0;ludzi energicznych
+529;5;-1;0;wysokiej ceny
+529;14;0;1;Mojemu chłopakowi bardzo się podobał mimo dosyć wysokiej ceny zamierzam kupić mu go ponownie .
+115;9;1;0;nie jest go za dużo
+115;11;1;0;bardzo ładnie
+131;7;1;0;, dobrze trzyma biust ,
+131;8;1;0;bardzo ładnie
+788;6;0;-1;do trochę cięższych perfum
+788;14;0;1;Ma pociągać i przyciągać
+932;11;1;0;, że ma bardzo fajny zapach , który długo się utrzymuje
+804;6;1;0;Charakteryzuje się elektryzującym zapachem
+1003;11;0;1;coś z tej linii
+1003;20;0;1;, że muszę sobie sprawić coś z tej linii
+1003;23;0;1;Na razie jestem w posiadaniu jedynie próbki , która jednak zachęciła mnie na tyle , że muszę sobie sprawić coś z tej linii .
+469;8;-1;1;dla mnie t trochę za drogi biustonosz
+469;9;1;0;Śliczny choć
+469;10;0;1;Śliczny choć jak dla mnie t trochę za drogi biustonosz .
+1101;4;0;-1;nie uczulają
+466;9;1;0;powala na kolana inne perfumy
+981;4;1;0;, który bardzo mi odpowiadał
+865;4;0;1;wesołe usposobienie
+329;13;1;0;, każda kobieta po spryskaniu się nią poczuje się z pewnością znakomicie
+207;3;0;-1;winy ludzi
+401;2;1;0;mistrz prowincji
+401;8;0;-1;wielkie łupy , które jednak mistrz prowincji mu wydarł
+859;9;0;1;Wykonany z miękkiego materiału
+1047;3;0;1;o czymś świuadczy
+839;5;1;0;Dla mojego męża woda pasowała .
+841;6;-1;0;Ale na zapachu nic nie traci .
+681;7;1;0;Intrygujący zapach ,
+681;8;0;1;Intrygujący zapach , bardzo trwały o mocnej nucie .
+912;5;0;1;Pani na zdjęciu
+912;12;1;0;Szczególnie dobrze komponuje się z czarną biżuterią
+959;15;-1;0;swym ofiarom
+1177;5;0;1;Panowie - idealny na prezent !
+538;15;-1;0;brak szacunku dla abonentów
+233;5;0;1;z wolna
+233;8;0;1;z wolna zanikać
+233;14;0;-1;, że wielki ból zaczyna z wolna zanikać
+10;6;1;0;Dobra bielizna ,
+10;7;0;1;Dobra bielizna , ładnie i solidnie uszyta .
+310;19;1;0;dobrem dzieci
+143;5;0;-1;cena spora
+143;17;1;0;) flakonik przeuroczo wygląda ( można go używać jako ozdobę-żart ) , cena spora ale na Allegro
+688;3;1;0;bardzo ładnie
+688;7;1;0;) Perfum bardzo ładnie pachnie .
+688;13;0;1;prym na całym świecie
+688;14;1;0;Świetna światowa marka która
+688;15;0;1;Świetna światowa marka która wiedzie prym na całym świecie : ) Perfum bardzo ładnie pachnie .
+835;6;0;-1;niby ładny , ale
+487;5;0;1;subtelnie unosząc
+487;11;1;0;piękno kobiecego biustu
+685;5;1;0;Propozycja czegoś na letnie wakacje .
+775;4;1;0;każdej zmysłowej , seksownej
+775;5;1;0;Dior Cherie-rewelacja
+775;6;1;0;każdej zmysłowej , seksownej kobiety
+259;5;1;0;Bardzo wydajny
+259;10;1;0;Bardzo wydajny perfum ,
+848;2;0;1;wyraźną kwiatową nutą
+848;9;1;0;bardzo zmysłowy i kobiecy , z wyraźną kwiatową nutą
+477;1;0;1;ze zdjęcia
+477;5;-1;1;odbiegającą od mojego wyobrażenia ze zdjęcia
+477;7;-1;1;bieliznę odbiegającą od mojego wyobrażenia ze zdjęcia
+477;9;1;0;ślicznym zdjęciem
+477;10;-1;0;otrzymała m bieliznę odbiegającą od mojego wyobrażenia ze zdjęcia
+477;11;1;0;skuszona ślicznym zdjęciem
+477;13;-1;1;skuszona ślicznym zdjęciem a otrzymała m bieliznę odbiegającą od mojego wyobrażenia ze zdjęcia
+553;2;0;1;tej wyższej półki
+553;5;0;1;z tej wyższej półki
+165;9;1;0;najlepszym prezentem urodzinowym jaki kiedykolwiek otrzymała m na urodziny
+1160;3;0;1;bardzo obca
+874;15;0;1;Przy tym jest niesamowicie trwały i ładnie rozwija się na skórze ( mojej przynajmniej ) .
+467;11;0;1;Może fajne dla starszej kobiety takiej z czerwoną pomadką na ustach .
+878;4;-1;0;wysoka jak na taka wodę
+878;6;-1;0;za wysoka jak na taka wodę
+1198;2;0;-1;zbrodnie przeciwko ludzkości
+1198;6;-1;0;oskarżonego o ludobójstwo i zbrodnie przeciwko ludzkości
+142;2;0;1;wyróżniających się
+142;3;0;1;wyróżniających się młodych Polaków
+142;4;0;1;nagradzanie wyróżniających się młodych Polaków
+231;4;0;1;kolorze zmysłowego różu
+72;2;0;1;zrozumieniem najbliższej osoby
+72;6;0;1;ze zrozumieniem najbliższej osoby
+630;7;-1;0;- jest bardzo niewygodny
+630;8;0;1;z tego stanika
+630;9;0;1;nie jestem
+1057;12;1;0;7 za swoja atrakcyjna cenę
+1057;13;1;0;6 dostają za to ze podobają się kobieta
+186;7;1;0;się z seksownym , tajemniczym i zadbanym mężczyzną
+186;9;1;0;mi się z seksownym , tajemniczym i zadbanym mężczyzną
+17;3;1;0;Obowiązkowy na randki .
+852;10;0;1;W naszej firmie wszystko układa się w pozytywny ciąg następstw .
+202;17;1;0;Orzeźwiający , super na lato , długo się utrzymuje na skórze
+202;19;1;0;Orzeźwiający , super na lato , długo się utrzymuje na skórze ( choć to zależy też od typu skóry
+623;1;0;1;sprawnych technicznie
+623;3;0;1;dekoracyjnych i sprawnych technicznie
+623;4;0;1;dekoracyjnych i sprawnych technicznie obrazów
+623;7;0;1;tworzeniem dekoracyjnych i sprawnych technicznie obrazów
+623;18;1;0;, których zasługi artystyczne , poza tworzeniem dekoracyjnych i sprawnych technicznie obrazów , są raczej mizerne
+462;3;-1;0;, bez rewelacji
+289;5;1;0;zachęcających do głosowania na Tadeusza Zwiefkę
+162;2;1;0;jestcudowny i nietuzinkowy
+162;3;1;0;mnie jestcudowny i nietuzinkowy
+1056;2;0;-1;rosyjskie służby specjalne
+71;2;0;1;bardzo korzystną ofertą
+71;7;0;1;, że przychodzą z bardzo korzystną ofertą
+86;6;0;1;Sam stanik również świetnie się prezentuje .
+546;2;1;0;toaletce i poręczny
+546;4;1;0;na toaletce i poręczny
+546;8;0;1;Flakonik ładnie prezentuje się na toaletce i poręczny .
+1039;8;0;1;Zapach tej wody jednak od razu mnie urzekł .
+453;2;0;1;w swojej toaletce
+453;9;0;1;wysokie standardy
+720;1;0;-1;złośliwego chłoniaka
+808;5;1;0;bardzo kobieca i zmysłowa
+229;1;0;1;z dam
+229;2;0;1;każdej z dam
+229;3;0;1;u każdej z dam
+229;5;0;1;gwarantowany u każdej z dam
+793;6;1;0;w tytule - silny , urzekający
+793;8;1;0;w tytule - silny , urzekający , kwiatowy
+615;4;0;1;godny na letnie wieczory
+615;5;0;1;Polecenia godny na letnie wieczory .
+946;9;1;0;Bardzo ciekawy wygląd tej wody toaletowej
+636;9;1;0;tylko stworzony dla kobiet silnych , mocno stąpających po ziemi
+636;12;1;0;, że tylko stworzony dla kobiet silnych , mocno stąpających po ziemi
+697;2;1;0;bardzo starannie
+697;10;1;0;cena nie jest wysoka
+697;11;1;0;Biustonosz jest wykonany bardzo starannie i dokładnie
+621;15;0;1;żadnego skutku
+621;22;0;1;jego zeznania nie przyniosły żadnego skutku
+54;3;1;0;przyjemny do ciała
+887;3;1;0;pobudzający zapach
+887;4;1;0;bardzo seksowny
+887;5;0;1;bardzo seksowny i pobudzający zapach .
+895;5;0;1;wrażliwą duszę młodego człowieka
+895;7;0;1;piękne synowskie uczucie
+717;3;0;1;przypaść do gustu
+812;2;0;-1;dość sporej ceny
+812;5;0;1;warty swojej dość sporej ceny
+184;4;0;1;jego ostrą , wibrującą nutę
+184;5;0;1;na jego ostrą , wibrującą nutę
+184;6;0;1;względu na jego ostrą , wibrującą nutę
+184;7;0;1;ze względu na jego ostrą , wibrującą nutę
+184;10;0;1;ten zapach ze względu na jego ostrą , wibrującą nutę
+184;14;0;1;Nie podoba mi się ten zapach ze względu na jego ostrą , wibrującą nutę .
+398;7;0;1;jakość wykonania
+398;12;1;-1;jakość wykonania nie odbiega od bardzo drogiej bielizny
+489;3;1;0;bardzo ciekawy , zapamiętywalny
+620;9;1;0;najlepsze perfumy pod słońcem
+460;2;1;0;jakiś sposób magiczny
+460;5;1;0;w jakiś sposób magiczny
+460;7;0;1;by uniwersalny
+460;9;1;0;za razem w jakiś sposób magiczny .
+460;11;0;1;Zapach jak by uniwersalny a za razem w jakiś sposób magiczny .
+1028;6;1;0;Polecam na prezent dla każdej pani .
+204;1;0;-1;mocno zmienione
+1128;3;0;1;biustonosz jest super !
+967;3;1;0;ten uroczy biustonosz
+863;2;0;1;bardzo przenikliwy
+863;3;-1;1;bardzo przenikliwy i przesycony
+863;4;-1;1;za bardzo przenikliwy i przesycony
+863;7;-1;1;zapach za bardzo przenikliwy i przesycony
+863;10;0;1;Jak dla mnie to zapach za bardzo przenikliwy i przesycony .
+969;9;1;0;świetny pomysł na prezent na urodziny czy pod choinkę
+1179;2;0;-1;samobójczej śmierci mężczyzny
+849;9;1;0;: - )
+1036;8;-1;0;Zatrzymani wczoraj przestępcy
+549;5;0;1;uniwersalny design
+549;8;1;0;pomimo skromności elegancko się prezentuje
+1174;4;1;0;słodką kokardkę między piersiami
+1174;7;1;0;odpinane ramiączka i słodką kokardkę między piersiami
+404;12;1;0;Cena w sieci jest bardzo przyzwoita
+404;15;1;0;Cena w sieci jest bardzo przyzwoita , więc pewnie skuszę się na więcej 30ml
+1143;2;-1;0;perfumy duszące
+157;1;0;1;radosnym gwarem
+157;4;0;1;, zachłystując radosnym gwarem
+157;8;0;-1;I nagle zrywa się , zachłystując radosnym gwarem .
+1004;8;1;0;elegancką bluzkę na Sylwestra
+1004;16;1;0;okazało się , że doskonale się sprawdza na codzień
+1004;21;1;0;, że włożę go pod elegancką bluzkę na Sylwestra , ale okazało się , że doskonale się sprawdza na codzień
+721;1;0;-1;dość wysoka
+721;5;-1;0;być dość wysoka cena
+872;6;1;0;bardzo świeżo i z wyraźną pieprzową nutą
+909;15;0;-1;tym samym przynosi straty państwu
+610;4;1;0;doskonały prezent dla kobiety
+552;5;0;1;godny polecenia dla każdego faceta .
+911;3;1;0;Gabana niczego sobie prześliczny
+853;8;1;0;zerowy albo ujemny zysk
+253;3;0;1;bardzo skromny
+881;2;1;0;niespotykanym zapachem
+881;8;1;0;bardzo intrygującym i niespotykanym zapachem
+881;10;0;1;Kolejna woda toaletowa która urzeka bardzo intrygującym i niespotykanym zapachem .
+1038;11;1;0;- ) napewno spodoba się każdej brunetce
+1144;4;0;1;świecie lepszej wody niż ta
+1144;9;1;0;juz dla mnie na świecie lepszej wody niż ta
+613;13;1;0;jednym z najlepszych produktów tego typu na rynku
+578;5;0;-1;o cenę
+904;7;1;0;nie wychodzą druty
+904;10;1;0;nie pruje się po pierwszym ubraniu
+904;11;1;0;biustonosz jest trwały nie wychodzą druty
+904;16;1;-1;biustonosz jest trwały nie wychodzą druty i nie pruje się po pierwszym ubraniu
+904;17;1;0;Cena nie jest wysoka
+241;7;0;1;Miseczki typu push up świetnie podtrzymują biust .
+1181;6;0;-1;Raue z entuzjazmem przyjął tę propozycję .
+877;3;1;0;przeobrażeniem doskonałości
+3;3;0;1;uwodzicielski zapach
+3;5;0;1;Bardzo ładny , uwodzicielski zapach .
+789;8;-1;0;nie dla kobiet o obfitym biuście
+199;5;1;0;nie tylko ładnie
+199;11;1;0;produkt , gdyż nie tylko ładnie się prezentuje pod bluzeczką
+199;16;1;0;Polecam produkt , gdyż nie tylko ładnie się prezentuje pod bluzeczką , ale także bez niej
+199;17;0;1;Polecam produkt , gdyż nie tylko ładnie się prezentuje pod bluzeczką , ale także bez niej ; )
+328;5;1;0;" ten wyróżnia się swoją oryginalnością
+328;6;1;0;adidas " ten wyróżnia się swoją oryginalnością
+328;7;1;0;" adidas " ten wyróżnia się swoją oryginalnością
+328;8;1;0;typu " adidas " ten wyróżnia się swoją oryginalnością
+328;9;1;0;zapachów typu " adidas " ten wyróżnia się swoją oryginalnością
+328;11;1;0;natłoku zapachów typu " adidas " ten wyróżnia się swoją oryginalnością
+372;2;0;-1;piękniejszej śmierci
+944;1;-1;0;bezpośrednich sprawców
+166;1;-1;0;żle zszyty
+166;5;0;1;ładny , ale żle zszyty
+166;8;-1;1;niby ładny , ale żle zszyty
+261;4;1;0;polecenia dla każdego mężczyzny
+227;1;0;1;kobiety zmysłowej
+227;2;0;1;dla kobiety zmysłowej
+995;5;0;1;, która pomoże Mühlhausowi ująć mordercę
+237;3;0;1;bardzo kobiecy zapach
+564;7;1;0;Świetna woda toaletowa ,
+564;8;1;0;Świetna woda toaletowa , zapach długo się utrzymuje .
+1100;2;-1;0;podróbki Fahrenhaita
+1100;8;-1;1;taniej podróbki Fahrenhaita
+1100;19;-1;0;pół butelki taniej podróbki Fahrenhaita
+1043;2;1;0;niesamowite wrażenie
+39;2;1;0;jej warta
+39;7;1;0;, że woda ta jest jej warta
+39;8;0;-1;i wysoka
+39;11;1;0;myślę , że woda ta jest jej warta
+652;5;0;1;nawet najbardziej wymagającej
+652;10;0;1;nawet najbardziej wymagającej kobiety
+652;11;1;0;Idealnie nadają się na prezent dla każdej
+522;7;0;1;Kołem Młodych
+588;7;1;0;, że kobieta czuje się pewniej
+588;8;1;0;Ładniejszy biust
+250;8;1;0;sam raz dla przebojowych i pewnych siebie pań
+662;7;-1;0;nijak do swojego wielkiego poprzednika klasycznego
+942;4;0;1;zapach słodki i esencjonalny
+537;12;-1;0;Ten samonośny biustonosz nie jest żadną rewelacją
+847;8;1;0;miseczki idealnie modelują biust
+333;2;0;1;markowe perfumy
+333;6;0;1;są to markowe perfumy
+409;7;0;1;Zapach przede wszystkim trwały a perfum wydajny .
+530;8;1;0;Jeśli ktoś ma w zanadrzu gotówki polecam na prezent
+516;9;1;0;Idealnie dopasowuję się do piersi
+516;10;1;0;Idealnie dopasowuję się do piersi , podnosi i uwydatnia je .
+75;3;0;1;Flakonik bez rewelacji .
+731;11;1;0;Perfumy dobre zarówno do codziennego użytku , jak
+634;5;0;1;NA KARZEDEGO FACETA
+634;8;0;1;DZIAŁA NA KARZEDEGO FACETA
+634;9;1;0;PODNIECA REWELACYJNIE
+1111;5;1;0;świerzy zapach
+399;5;1;0;najbardziej kultowych i rozpoznawalnych zapachów Armaniego
+999;7;0;1;Miseczki typu push up świetnie podtrzymują biust .
+723;6;0;-1;w najpodlejszym , cuchnącym bagnie
+723;8;0;1;Upragnioną miłość
+850;3;1;0;dość solidnie
+850;6;1;0;dość solidnie wykonany
+850;10;1;0;Stanik ten jest dość solidnie wykonany
+168;2;0;1;z niego dumny
+796;9;0;-1;i precyzyjnie wykończony , z mnóstwem zdobień i ażurków
+796;11;0;1;Bardzo ładnie i precyzyjnie wykończony , z mnóstwem zdobień i ażurków .
+188;6;0;-1;, które zrabowali z mieszkania brutalni przestępcy
+188;7;0;-1;przedmiotów , które zrabowali z mieszkania brutalni przestępcy
+79;3;1;0;kobieta pożądana
+79;8;1;0;stać się kobieta pożądana
+79;9;0;1;Nuta serca pozwoliła mi dorosnąć
+1092;6;1;0;urzekły mnie dopiero po pewnym czasie .
+108;6;1;0;Energise jak najbardziej adekwatna
+560;1;0;1;nowymi zapachami
+560;4;0;1;konkurować z nowymi zapachami
+213;5;0;1;Całość umieszczona w niepowtarzalnym flakonie .
+504;2;0;1;klasyczny perfum
+504;4;1;0;klasyczny perfum bardzo trwała
+504;7;1;0;to klasyczny perfum bardzo trwała
+761;6;0;1;świetne miejsce do utworzenia centrum wzornictwa przemysłowego
+302;7;1;0;wybitny znawca problemów harmonizowania prawa irlandzkiego i europejskiego
+743;10;1;0;one wyjątkowy zapach , który długo utrzymuje się na skórze
+1068;3;1;0;Odpowiednie dla starszych kobiet
+133;3;0;1;jednym z krakowskich atelier
+133;7;0;1;w jednym z krakowskich atelier
+133;13;0;1;wykonana w jednym z krakowskich atelier
+133;21;0;1;jego piękna fotografia w powstańczym stroju , wykonana w jednym z krakowskich atelier
+245;2;1;0;idealnymi krągłościami
+245;3;1;0;idealnymi krągłościami i ponętnym
+245;9;1;0;, emanując idealnymi krągłościami i ponętnym
+245;17;1;0;, iż każdy biust wygląda zachwycająco , emanując idealnymi krągłościami i ponętnym ,
+943;1;0;1;pierwszego węchu
+943;2;0;1;od pierwszego węchu
+631;5;0;1;niezwykle miękki
+631;7;0;1;Jest miły w dotyki i niezwykle miękki .
+576;5;0;1;mały czy duży biust
+576;7;0;1;ma mały czy duży biust
+1163;4;1;0;każdej zmysłowej , seksownej
+1163;5;1;0;Dior Cherie-rewelacja
+1163;6;1;0;każdej zmysłowej , seksownej kobiety
+1163;8;1;0;dla każdej zmysłowej , seksownej kobiety
+899;4;1;0;, za co dodatkowy plus
+899;7;1;0;inną nutę zapachową , za co dodatkowy plus
+899;8;1;0;nieco inną nutę zapachową , za co dodatkowy plus
+899;11;1;0;w nieco inną nutę zapachową , za co dodatkowy plus
+271;3;1;0;zmysłowe , haftowane
+271;6;1;0;zmysłowe , haftowane kwiaty
+271;9;1;0;zmysłowe , haftowane kwiaty , czyli biustonosz Gabriella
+1053;3;0;1;tak świetnej kondycji
+1053;5;0;1;w tak świetnej kondycji
+759;1;1;0;specjalny wieczór
+759;3;1;0;na specjalny wieczór
+759;4;1;0;Pasuje na specjalny wieczór .
+528;17;1;0;Dolce & Gabbana to bardzo fajna woda perfumowana
+601;2;1;0;efektywną buteleczkę
+66;10;1;0;dla kobiet stylowych , kochających własny , indywidualny styl życia
+873;5;0;1;Najlepszy zapach Versace jak dotąd .
+449;4;1;0;, który się nie nudzi
+449;6;1;0;Zapach , który się nie nudzi
+449;9;1;0;Gabbana The One - Zapach , który się nie nudzi
+449;11;1;0;Dolce& Gabbana The One - Zapach , który się nie nudzi
+473;1;0;1;dojrzałą kobietą
+918;5;0;1;tak ładnie
+918;13;1;0;do tego cena też jest korzystna
+985;4;-1;0;, jak i przeciwniczek
+985;21;0;1;podobieństwa z poprzednikiem owych perfum
+541;6;1;0;Przyda się oko kobiety jako opinia .
+48;3;0;1;troszkę wysoka
+938;4;0;1;duży kryształ
+938;8;0;1;zakrętka przypomina duży kryształ
+938;10;1;0;Mają przepiękny , prosty flakon
+825;5;1;0;Ten zapach uwiódł mnie
+976;2;-1;0;horrendalna cena
+961;6;1;0;Mają naprawdę dobre perfumy
+377;5;1;0;polecić ten biustonosz
+826;8;1;0;Ciekawe zestawienie różnych nutek zapachowych
+826;9;0;1;Ciekawe zestawienie różnych nutek zapachowych daje bardzo interesującą mieszankę .
+565;2;0;-1;napadem na mnie
+565;3;0;-1;z napadem na mnie
+565;4;0;1;wspólnego z napadem na mnie
+565;5;0;1;coś wspólnego z napadem na mnie
+565;6;0;1;mieć coś wspólnego z napadem na mnie
+565;9;0;1;on mógł mieć coś wspólnego z napadem na mnie
+990;2;1;0;rześkim , ożywczym
+990;3;1;0;rześkim , ożywczym zapachu
+136;7;-1;0;jakieś niepokojące odczucia
+136;10;-1;0;kolor przynosi jakieś niepokojące odczucia
+136;12;-1;0;kolor przynosi jakieś niepokojące odczucia ( ciągle mam przed oczami zachód słońca
+136;16;-1;0;kolor przynosi jakieś niepokojące odczucia ( ciągle mam przed oczami zachód słońca )
+136;18;-1;0;Flakon kształtem nie zachwyca
+1024;6;1;0;się uśmiechać ku sobie radośnie
+1063;3;1;0;szalenie praktyczny
+1063;13;1;0;raczej do noszenia pod ubraniem niż na " pokaz " , jednak szalenie praktyczny
+1063;16;1;0;najseksowniejszy biustonosz , raczej do noszenia pod ubraniem niż na " pokaz " , jednak szalenie praktyczny
+1063;20;1;0;nie jest to najseksowniejszy biustonosz , raczej do noszenia pod ubraniem niż na " pokaz " , jednak szalenie praktyczny
+982;2;0;1;bardzo ostry
+982;4;-1;1;bardzo ostry nieciekawy zapach
+982;10;-1;1;mają bardzo ostry nieciekawy zapach
+982;11;-1;0;Kompletnie nie przypadły mi do gustu
+941;2;0;1;zdecydowanych kobiet
+125;9;0;1;Biustonosz ten jest wykonany z bardzo dobrego jakościowo materiału .
+88;2;1;0;romantyczny zapach
+1093;2;1;0;zapach ponadczasowy
+1093;4;1;0;to dla mnie zapach ponadczasowy
+1093;5;1;0;Blue to dla mnie zapach ponadczasowy
+1065;1;0;1;znanej marki
+1065;4;0;1;woda toaletowa znanej marki
+1123;6;0;1;Niezwykle ładny a zarazem seksowny stanik .
+276;3;1;0;NIESAMOWITY ZAPACH
+43;3;1;0;, które lubisz
+43;11;0;1;coś dobrego
+43;16;0;1;zrobimy sobie coś dobrego
+1164;5;-1;0;sa okropne ale
+1164;13;-1;0;pierwsze nuty sa okropne ale
+625;6;0;1;powalająca jak na tak dobrą firmę
+468;7;1;0;właśnie do sukienki z dekoldem - ponoć super
+468;10;1;0;go zakupić właśnie do sukienki z dekoldem - ponoć super
+905;7;0;1;uważnie lustrował zaniepokojone twarze
+626;10;0;1;drogi ale w internecie można zakupić go w dobrej cenie
+1166;6;0;1;Biustonosz jest zrobiony z dobrych materiałów .
+429;4;1;0;trwałe perfumy które
+150;9;1;0;, który uwielbiam i używam bardzo często
+554;5;0;1;bardzo oryginalny
+1107;1;0;1;znany nam
+432;4;-1;0;Zdenerwowani są także kierowcy .
+209;5;0;1;kobiety pewnej siebie i zdecydowanej
+191;3;-1;0;rynku słabego
+191;6;-1;0;na rynku słabego
+191;10;-1;0;brzydkiego zapachu od Hugo Bossa
+78;22;1;0;Bo w końcu pochodzą z jednego z najlepszych domów mody
+806;1;0;-1;dosyć wysoka
+806;8;-1;0;, iż cena jest dosyć wysoka
+952;3;1;0;stylu i elegancji
+952;4;1;0;Połączenie stylu i elegancji .
+983;7;-1;0;zaszokowani ceną tej wody toaletowej w końcu
+983;10;-1;0;zaszokowani ceną tej wody toaletowej w końcu pochodzi
+223;1;0;1;górnej części
+223;5;1;0;prześliczną koronkę w górnej części
+185;4;1;0;Zdecydowanie działa na mężczyzn .
+606;5;1;0;bardzo serdecznie
+344;9;1;0;produkt wysokogatunkowy , który zasługuje na to ,
+344;10;1;0;produkt wysokogatunkowy , który zasługuje na to , by go mieć
+344;13;1;0;dla mnie produkt wysokogatunkowy , który zasługuje na to , by go mieć
+344;15;0;1;nie odziera
+344;18;1;0;, nie odziera , jak dla mnie produkt wysokogatunkowy , który zasługuje na to , by go mieć
+1078;2;1;0;prawdziwego faceta
+196;5;1;0;ten zapach to cudo
+718;2;1;0;biust , ciekawy
+718;8;0;1;Idealnie podtrzymuje i kształtuje biust , ciekawy fason .
+275;8;0;-1;Cena za ten markowy produkt
+1147;6;1;0;idealnie komponuje się ze skórą
+1147;12;1;0;Woda jest świetnym wynalazkiem
+359;2;-1;0;chłystków w dresach
+359;5;-1;0;dla chłystków w dresach
+359;6;1;0;rację-to dostojny zapach
+359;11;1;0;) I macie rację-to dostojny zapach
+190;8;1;0;ma w sobie coś co przykuwa uwagę
+543;13;-1;0;odporność na zaburzenia serca i naczyń wieńcowych
+543;19;1;0;, zwiększając odporność na zaburzenia serca i naczyń wieńcowych
+452;4;0;1;miłośników wcześniejszych zapachów tej linii
+23;8;1;0;niezwykle seksownie się prezentuje na sylwetce
+512;6;1;0;praniu i będzie służył przez długi czas
+512;8;1;0;po praniu i będzie służył przez długi czas
+440;4;1;0;cudach w Lourdes
+1008;10;0;1;Cena stosunkowo wysoka ale znajomy bardzo zachwala sobie ten zapach .
+1026;7;0;1;niesamowite wrażenie
+1102;2;1;0;ceniących jakość perfum
+1102;4;1;0;Kobiet ceniących jakość perfum
+45;6;0;1;wydane w 2005 roku
+41;8;0;1;Polecam szczególnie na prezent dla mężczyzn od 20
+326;4;-1;1;zapach nie zachwyca
+326;6;1;0;Dobra marka
+884;7;0;1;strzałami w powietrze
+884;10;-1;1;zmusił ją do wydania pieniędzy
+53;6;1;0;Kilka kropli wystarcza na cały dzień .
+928;17;1;0;jestem z niej bardzo zadowolony
+928;18;1;0;Zachęcam do kupna wody toaletowej " Lacoste Essential"Mam tą wodę już 3 raz
+622;13;1;0;małej , poręcznej
+622;15;1;0;małej , poręcznej buteleczce , która spokojnie zmieści się w torebce ,
+622;20;1;0;w małej , poręcznej buteleczce , która spokojnie zmieści się w torebce ,
+180;6;0;-1;za taki seksowny biustonosz
+818;6;-1;0;z przykrością
+818;12;-1;0;z przykrością muszę stwierdzić
+818;15;-1;1;nie spełnił moich oczekiwań
+818;17;-1;0;Niedawno zakupiła m ten stanik na allegro i z przykrością muszę stwierdzić
+390;1;1;0;swobodnych rzeczach
+390;2;1;0;o swobodnych rzeczach
+390;4;1;0;myśleć o swobodnych rzeczach
+390;5;1;0;spokojnie usiąść
+390;7;1;0;spokojnie usiąść lub myśleć o swobodnych rzeczach
+499;8;1;0;Produkt ten jest bardzo wygodny
+913;3;1;0;wart tej ceny
+687;2;1;0;KAŻDEGO WYRAFINOWANEGO PANA
+687;4;1;0;DLA KAŻDEGO WYRAFINOWANEGO PANA
+687;5;1;0;POLECAM DLA KAŻDEGO WYRAFINOWANEGO PANA .
+1027;4;1;0;bardzo ładnie
+1027;8;1;0;Biustonosz Carmen bardzo ładnie leży
+505;5;1;0;z bardzo miłego dla ciała materiału
+545;3;1;0;całą pewnością
+545;6;1;0;czystym sumieniem i całą pewnością
+545;9;1;0;Z czystym sumieniem i całą pewnością
+135;7;1;0;ładna i dziewczęca
+135;10;1;0;ładna i dziewczęca - ale jak
+672;5;1;0;rozchwytywanej Eternity
+672;10;1;0;nowsza wersja klasycznej i rozchwytywanej Eternity
+1016;6;0;1;Dobra alternatywa na prezent dla mężczyzny .
+42;12;0;1;Zapach takiego " Słodkiego Jabuszka " , chodź bardzo spotykany na ulicy .
+868;10;1;0;firmy Triumph , który nie zawiódł mnie i moich oczekiwań
+160;1;0;1;słodką elegancją
+572;8;1;0;Moje pierwsze lepsze perfumy które
+1134;11;-1;0;nie trzyma biustu oraz bardzo szybko się niszczy
+1134;12;-1;0;Stanik źle układa się
+215;11;1;0;Kolor jest trwały
+1019;8;0;1;najpiękniejszych gatunków o wspaniałym jesiennym przebarwieniu liści
+1120;12;1;0;Materiały z których jest wykonany są przyjemne dla skóry
+1066;4;0;1;prosty , klasyczny wygląd
+394;1;0;1;dobrej formie
+1150;2;0;1;wód toaletowych
+1150;6;0;1;do wód toaletowych
+1150;9;0;1;przeciwieństwie do wód toaletowych
+746;5;0;1;sam raz dla przeciętnej kobiety
+600;5;0;1;bardzo przeciętny zapach
+600;8;0;-1;To bardzo przeciętny zapach
+388;5;-1;0;przejść obok perfum obojętnie
+388;11;1;0;, iż nie można przejść obok perfum obojętnie
+73;7;1;0;Ma śliczne opakowanie i flakon
+518;5;1;0;tak dużą pojemność butelki
+518;8;1;0;na tak dużą pojemność butelki
+1031;10;1;0;Jak mój mężczyzna się nimi psikał to naprawdę pięknie pachniał .
+998;12;1;0;podobno są wydajne tak jak każde perfumy od Versace
+581;1;0;1;je podnosi
+836;13;1;0;Nie zawiodła m się na jego zakupie podobnie
+1104;6;0;1;Perfumy o świeżym , przyciągającym zapachu .
+857;3;-1;0;tak zwanych nieudanych prezentów
+857;4;-1;0;z tak zwanych nieudanych prezentów
+857;6;-1;0;jeden z tak zwanych nieudanych prezentów
+857;7;0;-1;moim przypadku
+857;9;-1;0;to jeden z tak zwanych nieudanych prezentów
+1172;6;1;0;nie podrażnia skóry
+638;3;1;0;w świat luksusu
+674;3;0;1;smacznym obiedzie
+674;5;0;-1;chwilę dla siebie
+702;4;1;-1;nie za drogi
+702;11;1;0;jest to dobry produkt i nie za drogi
+515;6;0;1;Niesamowitą historię
+648;18;1;0;naprawdę nie czuje się , że się go nosi a biust wygląda przepięknie
+648;20;1;0;Idealny dla Pań o większym biuście
+562;5;1;0;najlepszych zakupów , jaki dokonała m
+60;3;0;-1;kobiet chcących
+60;5;1;0;poczuć się wyjątkowo
+312;11;1;0;pięknie zdobione miseczki , seksowne wiązanie między nimi
+312;16;1;0;Na uwagę zasługują pięknie zdobione miseczki , seksowne wiązanie między nimi
+707;8;0;1;O wiele lepiej komponuje się wtedy ze skórą .
+947;4;1;0;zniewalającymi aplikacjami oraz push upem
+947;8;1;0;ze zniewalającymi aplikacjami oraz push upem
+739;8;-1;0;Mały biust " zginie " w takim kroju .
+300;6;0;1;świetnym patologiem
+300;10;0;1;być świetnym patologiem
+591;1;0;1;podczas prania
+591;7;1;-1;żadnych problemów podczas prania
+262;3;1;0;pewnej swojego sexapilu kobiety
+262;5;1;0;prawdziwej , pewnej swojego sexapilu kobiety
+262;7;1;0;dla prawdziwej , pewnej swojego sexapilu kobiety
+903;11;0;1;tylko opakowanie
+903;13;-1;0;takie nie za bardzo - korek nie wygodny i bardzo kanciaty
+903;17;-1;0;dla mnie to tylko opakowanie jest takie nie za bardzo - korek nie wygodny i bardzo kanciaty
+384;3;0;1;pewnej siebie i szalonej
+384;4;0;1;kobiety pewnej siebie i szalonej
+1199;2;1;0;odwagi pierwszych żeglarzy
+802;7;1;0;tak pozytywnymi opiniami na temat tej wody
+802;10;0;-1;troszkę zaskoczona jestem tak pozytywnymi opiniami na temat tej wody .
+950;3;0;1;czterdziestolecie Orędzia
+1015;10;0;-1;Tragiczny wypadek
+1046;2;0;1;pracowitych ludzi
+575;5;1;0;uniwersalny design
+575;9;1;0;Biustonosz ma uniwersalny design
+1195;2;0;1;ciekawy efekt dekoracyjny
+438;8;1;0;ładne kolory - odcienie wiśni i pudrowego różu
+159;6;0;1;pachnie jak mydło
+159;9;-1;0;gigantyczna cena
+902;7;1;0;nie przeszkadza przez cały dzień noszenia
+902;8;1;0;Nie uwiera
+661;4;0;1;intensywne korzenne nuty
+282;7;1;0;do tego mają pomysłowy flakonik
+282;8;1;0;Długo się utrzymują
+486;7;1;0;odpowiedni na co dzień
+454;5;1;0;uroczy wieczór
+139;9;1;0;Biustonosz ma śliczny kolorek pięknie kształduje
+281;4;0;1;dla mnie biustonosz
+1152;5;1;0;z najbardziej popularnych perfum
+1152;9;1;0;jedne z najbardziej popularnych perfum
+1152;11;1;0;jedne z najbardziej popularnych perfum ( hugo boss , lacoste )
+83;7;1;0;ten przypadł mi do gustu
+83;11;1;0;gustuję raczej w gładkich biustonoszach ten przypadł mi do gustu
+360;8;0;1;Gucci Rush można dać jako prezent bliskiej osobie .
+585;2;0;1;Krajową Izbę Gospodarczą
+585;5;0;1;poprzez Krajową Izbę Gospodarczą
+645;4;0;1;można mocną świeżość
+747;13;-1;0;błędy przyjętej przez koalicję SLD­PSL ustawy
+677;3;1;0;wyróżniający się w tłumie
+754;4;0;-1;już go nie kupie
+754;5;1;0;warty zakupu
+754;10;-1;0;to nie jest produkt warty zakupu już go nie kupie
+754;13;-1;0;myślę że to nie jest produkt warty zakupu już go nie kupie
+754;15;-1;0;pisać o tym bo myślę że to nie jest produkt warty zakupu już go nie kupie
+754;16;-1;0;więcej pisać o tym bo myślę że to nie jest produkt warty zakupu już go nie kupie
+754;18;-1;0;co więcej pisać o tym bo myślę że to nie jest produkt warty zakupu już go nie kupie
+1122;6;0;1;Jego wygląd również jest bardzo atrakcyjny .
+175;14;0;-1;Całej imprezie groziła katastrofa , mimo że istniała możliwość otrzymania odszkodowania z towarzystwa ubezpieczeniowego .
+311;5;1;0;flakon już robią wrażenie
+311;6;1;0;Ładne opakowanie
+123;7;1;-1;, który nie zawiódł mnie i moich oczekiwań
+285;2;1;0;energicznych mężczyzn
+304;3;0;1;przynoszący zysk
+729;5;0;1;spotkania przy muzyce Jazzowej w pubie
+1175;6;0;1;Plus za ładną kokardkę pomiędzy miseczkami .
+418;4;1;0;te przebijają wszystko
+418;9;1;0;perfum , różnych znanych marek , ale te przebijają wszystko
+418;11;1;0;wielu perfum , różnych znanych marek , ale te przebijają wszystko
+127;3;0;1;Ciekawy design butelki .
+77;6;1;0;godnym polecenia produktem
+77;9;1;-1;jego cena nie jest wygórowana
+77;11;1;0;jest on godnym polecenia produktem
+683;6;-1;0;porwanego w niedzielę
+82;6;0;1;Świetnie nadaje się na co dzień .
+76;3;-1;0;na wycieczkę
+76;7;1;0;pojechać na wycieczkę
+76;9;0;-1;dzieci z Ligoty
+76;15;0;1;dzięki którym dzieci z Ligoty będą mogły pojechać na wycieczkę
+855;1;-1;0;dość nijaki
+855;7;-1;0;wydaje się dość nijaki
+212;3;-1;0;gestapowskiej policji
+212;12;0;1;prawo do spokojnego snu
+212;14;0;1;, którą w końcu wygrały dla nich oddziały gestapowskiej policji
+212;17;-1;0;wojnę o prawo do spokojnego snu , którą w końcu wygrały dla nich oddziały gestapowskiej policji
+422;6;-1;0;walki z przestępczością gospodarczą
+422;17;0;-1;policjanci z wydziału do walki z przestępczością gospodarczą Komendy Wojewódzkiej w Olsztynie
+254;4;0;1;Buteleczka ma ładny wygląd .
+679;2;0;1;pewnej siebie kobiety
+679;4;0;1;dojrzałej oraz pewnej siebie kobiety
+679;7;0;1;dla dojrzałej oraz pewnej siebie kobiety
+679;8;0;1;Perfum dla dojrzałej oraz pewnej siebie kobiety ! !
+790;3;1;0;Działa na kobiety !
+137;2;1;0;energiczny zapach
+737;19;-1;0;co jest niekomfortowe
+892;5;0;1;zawiera wyciągi m
+1159;1;0;1;bardzo wysoką
+1159;3;-1;0;na bardzo wysoką cenę
+1159;11;-1;0;, ze względu na bardzo wysoką cenę
+1159;17;-1;0;nie promocja ,
+609;4;0;1;ciekawym przypadkiem
+609;6;0;1;Kazio M . jest ciekawym przypadkiem .
+1044;3;1;0;pozytywne opinie
+1044;4;1;0;słyszę pozytywne opinie od kobiet
+1044;9;1;0;PUA , wiec często słyszę pozytywne opinie od kobiet
+11;2;0;-1;lider na rynku
+132;2;1;0;lekką dozą świeżości
+132;4;1;0;z lekką dozą świeżości
+257;3;1;0;intensywną pociągającą wonią
+257;7;1;0;swoim wyglądem jak i intensywną pociągającą wonią
+257;8;0;1;Kusi swoim wyglądem jak i intensywną pociągającą wonią .
+309;2;-1;0;nadmierni ku górze
+309;9;-1;0;, że biustonosz unosi się nadmierni ku górze
+991;2;1;0;zmysłowość i tajemniczość
+991;7;1;0;, idealnie podkreśla zmysłowość i tajemniczość
+973;6;0;1;porównując do zapachów tego typu marek
+973;8;0;1;Cena przystępna porównując do zapachów tego typu marek .
+318;3;1;0;jedyny w swoim rodziaju
+318;4;1;0;, jedyny w swoim rodziaju
+778;1;1;0;niepospolitym zapachu
+778;3;1;0;o niepospolitym zapachu
+693;9;1;0;stanik jako główną atrakcję
+693;11;1;0;iść na dyskotekę w koszulce pod którą widać stanik jako główną atrakcję
+693;15;1;0;, można iść na dyskotekę w koszulce pod którą widać stanik jako główną atrakcję
+117;5;0;1;znakomite miejsce na spędzenie weekendu
+713;6;0;-1;nie uwiera
+934;1;-1;0;pewni NIE
+934;2;-1;0;na pewni NIE
+934;5;-1;0;wytrawnych kobiet na pewni NIE
+916;1;0;1;najbardziej świeża
+781;4;0;1;wyboru ulubionego koloru
+781;8;0;1;opcja wyboru ulubionego koloru
+781;13;0;1;Możliwa jest opcja wyboru ulubionego koloru
+757;8;1;0;liczne promocje
+349;1;1;0;pierwszej jakości
+349;3;1;0;produkt pierwszej jakości
+561;12;-1;0;bicie policjantów
+561;18;1;0;polską normą
+561;30;-1;0;żeby w minimalnym stopniu zakłócały życie innych ludzi
+940;2;0;1;szczęśliwi posiadacze wanien
+940;4;0;1;niż szczęśliwi posiadacze wanien
+940;12;0;-1;fatalnych brodzików
+940;17;0;1;Posiadacze fatalnych brodzików
+695;6;0;-1;, by nie stracić swej wiarygodności
+695;14;0;1;mądry , ciekawy
+692;9;0;1;został stworzony dla starszych , dojrzałych kobiet
+665;5;0;-1;końcowym gwizdku arbitra
+665;7;1;-1;zrozumiała euforia
+665;10;0;-1;Po końcowym gwizdku arbitra w ekipie gości zapanowała zrozumiała euforia .
+1083;6;1;0;Pasuje i do garnituru
+569;6;0;1;Piersi świetnie się w nim układają .
+838;19;0;-1;słabe tłumaczenie
+510;7;-1;0;materiał jest gryzący
+619;2;0;1;spokojna , sympatyczna
+619;3;0;1;spokojna , sympatyczna atmosfera
+619;6;0;1;panowała spokojna , sympatyczna atmosfera
+704;1;0;1;samej siebie
+704;2;0;1;od samej siebie
+704;4;0;-1;ucieczki od samej siebie
+1012;4;1;0;z platformersów i byłych pisowców
+1125;4;0;1;Biustonosz jest bardzo fajny .
+101;1;1;0;ślicznego wyglądu
+1132;5;0;1;Bardzo ładny i kobiecy biustonosz .
+258;3;0;1;kuszący biustonosz
+258;4;1;0;bardzo zmysłowy
+258;6;0;1;Niepowtarzalny bardzo zmysłowy i kuszący biustonosz .
+773;6;0;1;perfumowana ma mocny , specyficzny zapach
+773;9;0;1;że ta woda perfumowana ma mocny , specyficzny zapach .
+773;10;0;1;, że ta woda perfumowana ma mocny , specyficzny zapach .
+602;7;0;1;Miss Regionu Jędrzejowskiego i Włoszczowskiego
+602;12;0;1;tytuł Miss Regionu Jędrzejowskiego i Włoszczowskiego
+602;16;0;1;o tytuł Miss Regionu Jędrzejowskiego i Włoszczowskiego
+851;1;-1;0;winy kierowców
+851;11;0;-1;to jednak zmienić
+118;11;-1;0;Walkom rewolucyjnym
+433;9;1;0;nie jest go za dużo
+433;10;1;0;atomizer bardzo dobrze rozpyla perfum
+433;11;1;0;bardzo ładnie
+433;14;1;0;atomizer bardzo dobrze rozpyla perfum , nie jest go za dużo
+915;5;0;1;pełen inwencji
+270;5;0;-1;oskarżeni o jego późniejsze zabójstwo
+536;6;0;1;Podoba mi się oszczędny design flakonika .
+785;8;1;0;bardzo oryginalny i charakterystyczny
+785;11;1;0;bardzo oryginalny i charakterystyczny zapach , który zapada w pamięć
+594;11;1;0;bardzo towarzyski
+594;14;0;1;żyje całymi koloniami
+428;10;1;0;biały i czarny co daje mu estetyczny wygląd
+987;8;0;1;tzw efekt push
+1146;4;1;0;renomowanej marki jaką
+1146;7;0;1;Dolce & Gabbana
+1146;8;1;0;Woda toaletowa renomowanej marki jaką
+447;1;0;-1;moim mężczyźnie
+435;3;1;0;Gabana niczego sobie prześliczny
+1058;3;1;-1;przystępna cena
+535;5;1;0;również nieźle nadaje się na prezent
+535;9;1;0;, że również nieźle nadaje się na prezent
+684;8;1;-1;to jeden z najlepszych męskich perfumów na naszym rynku
+684;12;1;0;, że jest to jeden z najlepszych męskich perfumów na naszym rynku
+929;8;0;1;elegancką bluzkę na Sylwestra
+929;16;1;0;okazało się , że doskonale się sprawdza na codzień
+243;11;1;0;stylową zadbaną i uwodzicielską kobietą , która wie czego chce od życia
+243;13;1;0;ze stylową zadbaną i uwodzicielską kobietą , która wie czego chce od życia
+57;4;1;0;ja marzę
+57;5;1;0;ja marzę aby mieć taki stanik
+57;8;1;0;wy ale ja marzę aby mieć taki stanik
+574;1;-1;0;ją zabić
+703;1;0;-1;gruby błąd
+363;12;0;1;Mimo wysokiej ceny
+248;7;1;0;pocałowali śmy się
+551;16;1;0;wiąże go z różnymi sytuacjami , zpach dobry do wspomnień
+551;17;0;1;tak właśnie kojarzy mi się ten zapach
+358;2;0;1;piękną tradycję
+358;4;0;-1;jacyś ekstremiści
+358;7;0;-1;jak jacyś ekstremiści
+722;2;1;0;miłością Ducha
+960;9;-1;1;nie dawało to przyjemnego efektu
+1034;5;1;0;. i ma prześliczny zapach .
+484;1;0;1;pojemny kształt
+794;4;0;1;Pięknie podkreśla skromniejsze kształty .
+1014;5;0;1;Bardzo wysokie
+1110;2;1;0;pewnych siebie
+1110;3;1;0;pewnych siebie i zdecydowanych
+579;4;1;0;, który jednocześnie pociąga
+888;13;-1;0;zupełnie nie obrazują tego co się w nich znajduje
+889;9;0;1;wspaniały prezent
+608;9;0;1;Długo utrzymuje się na skórze i ma wygodny flakonik .
+972;1;-1;0;czynną napaść
+369;14;0;1;uroczystości Wielkiego Tygodnia
+369;16;0;1;czasie uroczystości Wielkiego Tygodnia
+765;11;0;1;Gąsowski , też jakby urzeczony
+297;1;0;1;cudowne uczucie
+573;2;0;1;fajnych rodziców
+573;5;0;1;cztery włosy i fajnych rodziców
+99;6;0;1;Dobrze spisuje się przy większym dekolcie .
+152;1;0;1;niezwykłym miejscu
+152;2;0;1;w niezwykłym miejscu
+280;9;1;0;O tych perfumach marzę już chyba od 5 lat .
+4;1;0;1;pięknie wyszywanego
+4;2;0;1;pięknie wyszywanego fraka
+4;6;0;1;Rękaw pięknie wyszywanego fraka
+1005;9;1;0;Piersi wyglądają pięknie
+1005;10;0;1;Piersi wyglądają pięknie i sexsownie , kolor także bardzo ładny .
+837;7;1;0;bardzo trwały
+837;11;1;0;Produkt bardzo trwały ,
+837;12;0;1;Produkt bardzo trwały , już jedno psiknięcie starczy na bardzo długi czas .
+444;4;0;1;chyba najbardziej znany
+514;6;1;0;nie działa rewelacyjnie jak ten
+50;8;1;0;opcja wyboru ulubionego koloru
+50;13;1;0;Możliwa jest opcja wyboru ulubionego koloru
+1121;2;0;1;adekwatna do produktu
+897;9;0;1;Biustonosz poza tym fajnie utrzymuje biust i jest wygodny .
+89;7;-1;0;Po praniu nie traci kolorów i fasonu .
+431;1;-1;0;przereklamowanym produktem
+431;2;-1;0;jest przereklamowanym produktem
+431;6;-1;0;No 5 jest przereklamowanym produktem
+345;4;0;1;Tak pachnący
+345;11;0;1;Tak pachnący facet robi wrażenie prawdziwego samca który
+154;6;1;0;Doskonale się sprawdzi na wieczorne wyjścia .
+1190;5;0;1;przyjemnego pobytu
+1190;8;0;1;Tylko współlokatorka nie rokowała przyjemnego pobytu . . .
+992;8;0;-1;rzuca głośno soczyste przekleństwa
+992;9;0;-1;w złości kopie ławkę
+779;3;0;1;grzesznych namiętności
+779;7;0;1;wolny od grzesznych namiętności i złych myśli
+1194;14;0;-1;prawdopodobne źródło zarówno aktywności proteolitycznej , jak i białek cytoplazmatycznych w puli niehistonowej
+513;8;1;0;najlepsza perfuma jakiej dotąd używał
+317;5;0;1;za ponadczasową
+317;18;0;1;Sylwetka Golfa w porównaniu z agresywnymi liniami Focusa wygląda spokojnie
+205;9;1;0;coś seksownego , o znakomitym dizajnie i stylu
+555;10;1;0;sprawia , że biust prezentuje się dobrze
+7;9;0;1;najważniejsze w tym biustonoszu
+936;1;1;0;ślicznego wyglądu
+936;4;0;1;Nadaje biustowi ślicznego wyglądu .
+113;2;0;1;miły wieczór
+644;5;1;0;bardzo ładny i wyjtakowy
+644;6;0;1;ze ten biustonosz
+644;8;1;0;, ze ten biustonosz jest bardzo ładny i wyjtakowy
+644;10;1;0;Sadze , ze ten biustonosz jest bardzo ładny i wyjtakowy
+90;8;0;1;Dobry na wieczorne wyjścia i do codziennego użytkowania .
+296;1;0;1;Pałacu Prezydenckim
+296;3;0;1;w Pałacu Prezydenckim
+296;5;1;0;uroczystości wręczenia stypendiów w Pałacu Prezydenckim
+1029;2;1;0;bardzo ,
+1029;3;1;0;bardzo , bardzo trwały
+1029;5;1;0;kosmetyk bardzo , bardzo trwały
+161;1;0;1;bardzo klasyczna
+145;9;1;0;przychylność tamtejszych środowisk żydowskich
+342;3;1;0;najbardziej ulubionych
+342;6;1;0;moich najbardziej ulubionych męskich zapachów
+315;8;1;0;, dodając im odrobinę luksusu
+30;3;0;1;stronami konfliktu
+30;5;0;1;między stronami konfliktu
+30;10;0;1;mediacjach między stronami konfliktu
+30;13;0;1;w mediacjach między stronami konfliktu
+1171;6;0;1;Prezentowany produkt jest w przystępnej cenie .
+497;4;0;1;bardzo mocny
+374;4;0;-1;wypadkach drogowych
+374;17;0;-1;Rocznie na świecie ponad milion osób ginie w wypadkach drogowych
+937;1;0;1;z diabłem
+937;3;-1;0;przyjacielskiej pogawędce z diabłem
+937;7;0;1;pogrążonego w przyjacielskiej pogawędce z diabłem
+201;2;1;0;pewnej siebie kobiety
+201;4;1;0;dojrzałej oraz pewnej siebie kobiety
+900;6;0;1;Według mnie to zapach godny polecenia .
+387;7;0;1;oczywiście tradycyjnym
+387;17;1;0;przepełniony pożądaniem , luksusem i oczywiście tradycyjnym śródziemnomorskim stylem
+387;23;1;0;całkiem nowy zapach stworzony przez włoski zespół projektantów Domenico Dolce i Stefano Gabbana , przepełniony pożądaniem , luksusem i oczywiście tradycyjnym śródziemnomorskim stylem
+214;8;0;1;Bardzo dobrze leży , dopasowuje się do figury .
+668;3;-1;0;lekkim wyrzutem
+668;5;0;1;na młodą koleżankę
+509;2;0;1;kobiet romantycznych
+567;2;0;1;bardzo intensywny
+567;3;1;0;bardzo intensywny , zmysłowy
+875;4;-1;0;trochę za duża przez co
+1138;3;1;0;ergonomiczny kształt flakoniku
+37;7;1;0;niesamowicie sexowny
+37;8;1;0;Biustonosz Konrad Cyganeria jest bardzo efektowny
+156;9;0;-1;, który zginął w zamachu terrorystycznym ,
+1149;2;-1;0;wyrzucone w błoto
+1149;4;-1;0;pieniądze wyrzucone w błoto
+138;16;1;0;wyszyty jest przepiękny i na pewno jak zobaczyła by m go w sklepie kupiła by m sobie
+138;20;1;0;, którym jest wyszyty jest przepiękny i na pewno jak zobaczyła by m go w sklepie kupiła by m sobie
+38;6;1;0;Fajna sprawa
+412;12;0;1;Twoje inicjatywy , konkretne , praktyczne i pożyteczne ,
+1184;2;0;1;rzadko widywanych bliskich
+1184;5;0;1;odpowiedniego wrażenia
+1115;7;0;1;urocze hafty , które dodadzą tajmeniczości
+1115;11;1;0;zaintrygują partnera
+1115;12;0;1;Wkoło biustu widnieją także urocze hafty , które dodadzą tajmeniczości
+801;10;0;-1;Ta wersja zapachu znacznie różni się od klasycznej wersji no .
+1118;14;1;0;Sukienka też lepiej leży i nie widzą wszyscy , że się robi nam chłodno
+52;12;0;1;Woda dolce Gabbana jest jedną z najlepszych wód toaletowych na rynku światowym .
+1070;4;1;0;nie pomagać biednym .
+1070;6;0;1;W Polsce lepiej nie pomagać biednym .
+749;8;1;0;) Stanik jest usztywniany , z przyjemnego materiału .
+749;9;1;0;: ) Stanik jest usztywniany , z przyjemnego materiału .
+749;10;1;0;wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;14;1;0;wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;18;1;0;niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;20;1;0;do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;22;1;0;push-up załączone są do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;23;1;0;to push-up załączone są do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;24;1;0;że to push-up załączone są do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+749;25;1;0;, że to push-up załączone są do niego gąbeczki , których jednak wcale nie trzeba wkładać : ) Stanik jest usztywniany , z przyjemnego materiału .
+164;13;1;0;wypuści jakieś fajne kolorki na lato z tego modelu no i o dużej miseczce
+446;8;1;0;rewelacyjna , odświeżająca
+446;10;0;1;o podobnym zapachu
+446;19;1;0;stworzenie odświeżacza o podobnym zapachu : ) Jak dla mnie rewelacyjna , odświeżająca woda
+446;24;1;0;o stworzenie odświeżacza o podobnym zapachu : ) Jak dla mnie rewelacyjna , odświeżająca woda
+492;5;0;1;na wakacyjny , letni zapach
+492;7;0;1;Fajny pomysł na wakacyjny , letni zapach .
+1131;4;-1;0;tragicznie wyglądający
+1131;8;-1;0;Taki z pozoru tragicznie wyglądający biustonosz
+682;8;1;0;swoistej klasy , charakteru , zdecydowanej męskiej nuty .
+682;11;-1;0;Brak w nim swoistej klasy , charakteru , zdecydowanej męskiej nuty .
+776;7;0;1;, czy jestem dzięki feminizmowi szczęśliwsza
+1126;4;0;1;Wykonany w atrakcyjnej kolorystyce .
+533;5;0;1;Gładki i przyjemny w dotyku .
+224;1;-1;0;oszpecić suknię
+224;4;-1;0;, które mogły oszpecić suknię
+224;7;-1;0;twarde miseczki , które mogły oszpecić suknię
+224;10;-1;0;na twarde miseczki , które mogły oszpecić suknię
+548;9;-1;0;porwana wczoraj przez 65-letniego mężczyznę w Chorzowie na Śląsku
+376;4;0;1;najczulszym instrumentem
+890;1;0;1;pewnych zasad
+890;3;0;1;według pewnych zasad
+890;9;0;1;harmonijnego ułożenia życia społecznego i organizowania go według pewnych zasad
+890;11;0;1;sposób harmonijnego ułożenia życia społecznego i organizowania go według pewnych zasad
+1155;6;1;0;uznaną markę w świecie perfum
+283;1;-1;1;niezbyt ładny
+283;3;-1;1;flakonik niezbyt ładny
+283;4;0;1;Jedynie flakonik niezbyt ładny .
+1073;7;0;1;Gorsenia Biustonosz koktailowy to bardzo fajna nowość .
+1116;4;-1;1;najgorszy biustonosz jaki
+1116;6;-1;1;najgorszy biustonosz jaki zdarzyło
+1116;7;-1;0;to najgorszy biustonosz jaki zdarzyło mi się nosić
+1116;10;-1;0;, że to najgorszy biustonosz jaki zdarzyło mi się nosić
+1006;14;0;1;szans na przeżycie w lodowatej wodzie
+886;8;0;-1;bardzo lekki zapach
+69;3;1;0;przypaść do gustu
+69;4;-1;0;nie każdemu
+69;11;0;1;rewelacyjna , ale wiadomo , że nie każdemu może przypaść do gustu
+711;12;1;0;Zwraca uwagę ludzi w otoczeniu i wywołuje liczne , choć przyjemne komentarze
+653;9;1;0;. flakonik też niepowtarzalny z kokardką kojarzy się bardzo dziwczęco
+686;11;0;1;zainstalować to modne urządzenie jedynie w kuchni i w wozowni
+686;12;0;1;U siebie
+686;13;0;1;U siebie pozwolił zainstalować to modne urządzenie jedynie w kuchni i w wozowni .
+1055;9;0;1;zapach kwiatowy
+1055;12;0;1;bardzo mocny , nie każdemu spodoba się
+61;13;1;0;Zapach super ,
+61;24;1;0;) Zapach super , baaardzo trwały , mega owocowy , a do tego wcale a wcale nie czuć w nim alkoholu
+1018;1;-1;0;dość wygórowanej
+1018;4;-1;0;swej dość wygórowanej ceny
+1018;5;0;1;Blue wart
+1018;6;0;1;Blue wart jest swej dość wygórowanej ceny
+1018;7;0;1;Light Blue wart jest swej dość wygórowanej ceny
+1018;9;0;1;Sądzę Light Blue wart jest swej dość wygórowanej ceny
+1018;10;0;1;Sądzę że Light Blue wart jest swej dość wygórowanej ceny .
+1050;3;0;1;duże koronki
+420;3;0;1;do tego zapachu
+763;1;-1;0;pozbawioną rozumu
+763;3;0;-1;głupią albo pozbawioną rozumu
+353;9;0;1;Na co dzień przytłacza swą intensywnością
+272;4;1;0;sporą wartość historyczną
+356;5;0;-1;za taki produkt
+149;2;0;-1;No 5
+149;6;0;1;Chanel No 5
+149;9;0;1;Jak dla mnie Chanel No 5 to przereklamowany zapach .
+813;11;1;0;Sam się odpowiednio układa
+307;5;0;1;naprzeciw oczekiwaniom tych najmłodszych klientów
+307;8;0;1;wyjść naprzeciw oczekiwaniom tych najmłodszych klientów
+706;9;1;0;Przez tyle wieków pomagali śmy Zachodowi w charakterze przedmurza .
+705;3;-1;0;Zabili kilku napastników .
+170;2;0;1;nie wygórowana
+170;3;0;1;oryginalne perfumy
+170;6;0;-1;być nie wygórowana
+170;9;0;1;za oryginalne perfumy
+269;7;0;1;To zwierzę wyróżnia się umiejętnością niesienia pomocy .
+1108;10;1;0;, który mnie osobiście bardzo odpowiada
+930;6;-1;1;, na której trudno znaleźć sposób aplikacji
+930;8;-1;0;metalowa kula , na której trudno znaleźć sposób aplikacji
+930;11;-1;0;– metalowa kula , na której trudno znaleźć sposób aplikacji
+930;12;0;1;niezwykle oryginalny
+956;7;0;1;Christian Dior J`adore to naprawdę przepiękny zapach .
+948;5;0;1;namiętny zapach
+948;7;0;1;Bardzo gorący namiętny zapach tak jak miłość .
+770;1;0;1;poszukiwanych produktów
+770;2;0;1;kupno poszukiwanych produktów
+770;4;0;1;na kupno poszukiwanych produktów
+770;7;0;1;najkorzystniejsze oferty na kupno poszukiwanych produktów
+770;11;0;1;, która na zlecenie klientów wykorzystuje najkorzystniejsze oferty na kupno poszukiwanych produktów
+313;3;1;0;zadowolona z tego produktu
+313;7;1;0;w 100% zadowolona z tego produktu
+313;12;1;0;Jestem w 100% zadowolona z tego produktu , a koleżanki mi zazdroszczą
+953;2;0;1;silny zapach
+589;5;-1;0;naprawdę tandetnie
+589;9;0;1;z bladymi kolorami
+589;10;-1;0;prosiaczkowy róż
+589;12;-1;1;, że ten biustonosz wygląda naprawdę tandetnie
+589;13;-1;1;prosiaczkowy róż z bladymi kolorami sprawiają
+862;6;0;1;- zapach
+840;8;0;1;Świetnie się sprawdza przy wieczorowych , wydekoltowanych sukienkach .
+1080;2;1;0;niemęczący zapach
+989;6;0;1;przezroczystą , gładką
+989;13;0;1;Ma ładny kwiatowy motyw który ciekawie wygląda pod przezroczystą , gładką letnia bluzeczką .
+51;11;0;-1;Bez sprzeciwu
+691;2;0;-1;dość cienkie
+691;8;0;1;nie odznacza się pod bluzką
+1021;7;0;1;Dla mnie to idealne perfumy na dzień .
+582;1;-1;1;trudno dostępny
+582;4;-1;1;drogi i trudno dostępny
+925;11;1;0;Mimo wszytsko faktycznie bardzo ładny , zmysłowy ,
+925;12;0;1;Mimo wszytsko faktycznie bardzo ładny , zmysłowy , bardzo wyrafinowany zapach kobiecy .
+403;2;1;0;świetnych zapachów
+171;9;1;0;100 ml wystarczyło mi na pół roku codziennego użytkowania .
+350;6;1;0;" energią " , dla ludzi młodych
+350;8;1;0;z " energią " , dla ludzi młodych
+335;2;0;1;najstarsze i najładniejsze
+335;4;0;1;najstarsze i najładniejsze kostiumy
+1142;4;0;1;na świeżym powietrzu
+1142;10;0;1;przebywamy na świeżym powietrzu
+439;5;-1;0;nie dla kobiet
diff --git a/results/wyniki_model_pf_na_sst.txt b/results/wyniki_model_pf_na_sst.txt
index 8f46d99..6a4faf1 100644
--- a/results/wyniki_model_pf_na_sst.txt
+++ b/results/wyniki_model_pf_na_sst.txt
@@ -813,3 +813,289 @@ model 55_pf3 :  ne_dim =  200 nchd_dim =  200 nh2_dim =  200 nh3_dim =  200
 
 
 
+
+
+
+
+
+
+
+
+******************************************************************************************************************************
+
+
+  DRUGI TYP MODELI - ZAMIAST H PRZEKAZUJEMY H2 ALBO H3
+
+
+******************************************************************************************************************************
+
+
+
+
+
+
+lr =  0.002
+model 55_pf2_1 :  nchd_dim =  50 ne_dim =  50 nh2_dim =  50
+
+('Valid: ', '80.41', 'Valid root: ', '32.06', ' Test all: ', '80.31', 'Test root: ', '31.13', ' Train all: ', '80.64', 'Train root: ', '31.58', '   time: ', 604.3709659576416)
+('Valid: ', '81.62', 'Valid root: ', '34.06', ' Test all: ', '81.69', 'Test root: ', '31.13', ' Train all: ', '82.31', 'Train root: ', '35.20', '   time: ', 1208.346853017807)
+('Valid: ', '82.88', 'Valid root: ', '39.15', ' Test all: ', '82.94', 'Test root: ', '37.83', ' Train all: ', '83.59', 'Train root: ', '36.61', '   time: ', 1820.0407049655914)
+('Valid: ', '83.62', 'Valid root: ', '35.51', ' Test all: ', '83.73', 'Test root: ', '34.07', ' Train all: ', '85.25', 'Train root: ', '38.13', '   time: ', 2435.6849761009216)
+('Valid: ', '84.34', 'Valid root: ', '40.96', ' Test all: ', '84.02', 'Test root: ', '39.37', ' Train all: ', '84.97', 'Train root: ', '40.70', '   time: ', 3039.968960046768)
+('Valid: ', '84.62', 'Valid root: ', '40.96', ' Test all: ', '84.61', 'Test root: ', '39.64', ' Train all: ', '86.43', 'Train root: ', '42.46', '   time: ', 3645.147395133972)
+('Valid: ', '85.15', 'Valid root: ', '42.14', ' Test all: ', '85.09', 'Test root: ', '39.46', ' Train all: ', '86.37', 'Train root: ', '42.57', '   time: ', 4253.213072061539)
+('Valid: ', '85.33', 'Valid root: ', '42.60', ' Test all: ', '85.18', 'Test root: ', '41.00', ' Train all: ', '86.78', 'Train root: ', '42.34', '   time: ', 4851.313337087631)
+('Valid: ', '85.36', 'Valid root: ', '42.96', ' Test all: ', '85.28', 'Test root: ', '40.90', ' Train all: ', '86.95', 'Train root: ', '43.27', '   time: ', 5451.434175014496)
+('Valid: ', '85.46', 'Valid root: ', '41.24', ' Test all: ', '85.45', 'Test root: ', '40.23', ' Train all: ', '86.89', 'Train root: ', '38.95', '   time: ', 6043.084296941757)
+('Valid: ', '85.65', 'Valid root: ', '40.51', ' Test all: ', '85.43', 'Test root: ', '35.75', ' Train all: ', '87.22', 'Train root: ', '42.11', '   time: ', 6634.529029130936)
+('Valid: ', '85.78', 'Valid root: ', '43.60', ' Test all: ', '85.90', 'Test root: ', '42.76', ' Train all: ', '87.53', 'Train root: ', '46.78', '   time: ', 7235.956845998764)
+('Valid: ', '85.42', 'Valid root: ', '42.23', ' Test all: ', '85.37', 'Test root: ', '41.00', ' Train all: ', '88.10', 'Train root: ', '45.61', '   time: ', 7845.199487924576)
+('Valid: ', '85.45', 'Valid root: ', '41.69', ' Test all: ', '85.41', 'Test root: ', '40.68', ' Train all: ', '87.92', 'Train root: ', '49.01', '   time: ', 8448.025918960571)
+('Valid: ', '84.84', 'Valid root: ', '44.23', ' Test all: ', '84.51', 'Test root: ', '42.40', ' Train all: ', '87.22', 'Train root: ', '47.25', '   time: ', 9053.23993396759)
+('Valid: ', '85.70', 'Valid root: ', '41.69', ' Test all: ', '85.74', 'Test root: ', '39.82', ' Train all: ', '88.60', 'Train root: ', '48.89', '   time: ', 9661.15848994255)
+('Valid: ', '85.64', 'Valid root: ', '37.60', ' Test all: ', '85.69', 'Test root: ', '36.97', ' Train all: ', '88.21', 'Train root: ', '45.50', '   time: ', 10268.5545129776)
+('Best valid: ', '85.78', ' Test all: ', '85.90', 'Test root: ', '42.76', '   time: ', 10268.554579019547)
+
+
+
+lr =  0.002
+model 55_pf2_1 :  nchd_dim =  100 ne_dim =  100 nh2_dim =  100
+
+('Valid: ', '80.73', 'Valid root: ', '34.42', ' Test all: ', '80.61', 'Test root: ', '32.85', ' Train all: ', '81.15', 'Train root: ', '33.57', '   time: ', 613.0122771263123)
+('Valid: ', '81.69', 'Valid root: ', '37.15', ' Test all: ', '81.84', 'Test root: ', '35.88', ' Train all: ', '82.19', 'Train root: ', '38.13', '   time: ', 1229.7736010551453)
+('Valid: ', '82.95', 'Valid root: ', '37.69', ' Test all: ', '83.24', 'Test root: ', '39.50', ' Train all: ', '83.77', 'Train root: ', '37.54', '   time: ', 1837.246770143509)
+('Valid: ', '83.86', 'Valid root: ', '37.15', ' Test all: ', '83.85', 'Test root: ', '35.38', ' Train all: ', '85.40', 'Train root: ', '38.01', '   time: ', 2435.9298441410065)
+('Valid: ', '84.37', 'Valid root: ', '40.78', ' Test all: ', '84.30', 'Test root: ', '40.59', ' Train all: ', '85.08', 'Train root: ', '39.77', '   time: ', 3035.7160749435425)
+('Valid: ', '84.66', 'Valid root: ', '41.14', ' Test all: ', '84.73', 'Test root: ', '40.45', ' Train all: ', '86.77', 'Train root: ', '43.39', '   time: ', 3636.3467950820923)
+('Valid: ', '85.23', 'Valid root: ', '40.60', ' Test all: ', '85.20', 'Test root: ', '40.45', ' Train all: ', '86.32', 'Train root: ', '42.11', '   time: ', 4239.402029037476)
+('Valid: ', '85.16', 'Valid root: ', '41.78', ' Test all: ', '85.15', 'Test root: ', '42.04', ' Train all: ', '86.77', 'Train root: ', '43.74', '   time: ', 4841.357847929001)
+('Valid: ', '85.50', 'Valid root: ', '41.14', ' Test all: ', '85.41', 'Test root: ', '41.00', ' Train all: ', '86.88', 'Train root: ', '43.51', '   time: ', 5444.025829076767)
+('Valid: ', '85.34', 'Valid root: ', '39.69', ' Test all: ', '85.49', 'Test root: ', '40.00', ' Train all: ', '87.01', 'Train root: ', '41.17', '   time: ', 6047.297534942627)
+('Valid: ', '85.58', 'Valid root: ', '39.51', ' Test all: ', '85.60', 'Test root: ', '39.73', ' Train all: ', '87.26', 'Train root: ', '45.73', '   time: ', 6652.604265928268)
+('Valid: ', '85.61', 'Valid root: ', '42.14', ' Test all: ', '85.76', 'Test root: ', '42.71', ' Train all: ', '87.68', 'Train root: ', '45.85', '   time: ', 7257.981904029846)
+('Valid: ', '85.58', 'Valid root: ', '40.60', ' Test all: ', '85.49', 'Test root: ', '39.91', ' Train all: ', '88.18', 'Train root: ', '45.38', '   time: ', 7863.385022163391)
+('Valid: ', '85.19', 'Valid root: ', '40.87', ' Test all: ', '85.04', 'Test root: ', '39.00', ' Train all: ', '87.91', 'Train root: ', '47.84', '   time: ', 8468.756366968155)
+('Valid: ', '84.85', 'Valid root: ', '43.14', ' Test all: ', '84.62', 'Test root: ', '42.62', ' Train all: ', '87.43', 'Train root: ', '48.77', '   time: ', 9074.20829296112)
+('Valid: ', '85.63', 'Valid root: ', '40.33', ' Test all: ', '85.55', 'Test root: ', '39.86', ' Train all: ', '88.94', 'Train root: ', '48.19', '   time: ', 9680.516492128372)
+('Valid: ', '85.60', 'Valid root: ', '38.33', ' Test all: ', '85.66', 'Test root: ', '37.15', ' Train all: ', '88.32', 'Train root: ', '45.50', '   time: ', 10286.068093061447)
+('Valid: ', '85.50', 'Valid root: ', '42.14', ' Test all: ', '85.33', 'Test root: ', '40.54', ' Train all: ', '88.97', 'Train root: ', '49.12', '   time: ', 10891.21998000145)
+('Valid: ', '85.09', 'Valid root: ', '37.78', ' Test all: ', '85.35', 'Test root: ', '39.41', ' Train all: ', '88.86', 'Train root: ', '48.19', '   time: ', 11496.361768007278)
+('Valid: ', '85.78', 'Valid root: ', '40.15', ' Test all: ', '85.70', 'Test root: ', '38.28', ' Train all: ', '89.40', 'Train root: ', '49.12', '   time: ', 12101.77792596817)
+('Valid: ', '85.69', 'Valid root: ', '40.78', ' Test all: ', '85.77', 'Test root: ', '40.09', ' Train all: ', '89.81', 'Train root: ', '52.51', '   time: ', 12707.333884000778)
+('Valid: ', '85.42', 'Valid root: ', '41.96', ' Test all: ', '85.48', 'Test root: ', '41.18', ' Train all: ', '89.94', 'Train root: ', '51.93', '   time: ', 13312.843941926956)
+('Valid: ', '85.23', 'Valid root: ', '42.05', ' Test all: ', '85.01', 'Test root: ', '40.32', ' Train all: ', '90.13', 'Train root: ', '51.46', '   time: ', 13918.219017982483)
+('Valid: ', '85.58', 'Valid root: ', '40.33', ' Test all: ', '85.69', 'Test root: ', '40.18', ' Train all: ', '89.80', 'Train root: ', '52.63', '   time: ', 14524.579090118408)
+('Valid: ', '85.29', 'Valid root: ', '40.78', ' Test all: ', '85.52', 'Test root: ', '42.13', ' Train all: ', '90.47', 'Train root: ', '57.66', '   time: ', 15129.74944615364)
+('Best valid: ', '85.78', ' Test all: ', '85.70', 'Test root: ', '38.28', '   time: ', 15129.749511003494)
+
+lr =  0.002
+model 55_pf2_1 :  nchd_dim =  200 ne_dim =  200 nh2_dim =  200
+
+('Valid: ', '80.90', 'Valid root: ', '36.97', ' Test all: ', '80.79', 'Test root: ', '34.84', ' Train all: ', '81.28', 'Train root: ', '34.62', '   time: ', 612.2642500400543)
+('Valid: ', '81.96', 'Valid root: ', '36.51', ' Test all: ', '81.83', 'Test root: ', '34.43', ' Train all: ', '82.43', 'Train root: ', '35.91', '   time: ', 1224.4671680927277)
+('Valid: ', '83.20', 'Valid root: ', '38.60', ' Test all: ', '83.38', 'Test root: ', '39.28', ' Train all: ', '84.22', 'Train root: ', '38.60', '   time: ', 1836.8696699142456)
+('Valid: ', '84.00', 'Valid root: ', '38.15', ' Test all: ', '83.87', 'Test root: ', '36.83', ' Train all: ', '85.56', 'Train root: ', '40.47', '   time: ', 2449.359435081482)
+('Valid: ', '84.56', 'Valid root: ', '40.05', ' Test all: ', '84.25', 'Test root: ', '40.18', ' Train all: ', '85.32', 'Train root: ', '41.64', '   time: ', 3061.80175614357)
+('Valid: ', '84.76', 'Valid root: ', '42.23', ' Test all: ', '84.57', 'Test root: ', '40.50', ' Train all: ', '86.79', 'Train root: ', '44.68', '   time: ', 3674.1519889831543)
+('Valid: ', '85.29', 'Valid root: ', '42.23', ' Test all: ', '85.23', 'Test root: ', '40.36', ' Train all: ', '86.68', 'Train root: ', '45.38', '   time: ', 4287.867959976196)
+('Valid: ', '85.52', 'Valid root: ', '42.96', ' Test all: ', '85.34', 'Test root: ', '41.90', ' Train all: ', '86.98', 'Train root: ', '44.68', '   time: ', 4897.34024810791)
+('Valid: ', '85.49', 'Valid root: ', '40.96', ' Test all: ', '85.42', 'Test root: ', '43.71', ' Train all: ', '86.97', 'Train root: ', '45.15', '   time: ', 5506.690658092499)
+('Valid: ', '85.48', 'Valid root: ', '41.05', ' Test all: ', '85.61', 'Test root: ', '41.67', ' Train all: ', '87.18', 'Train root: ', '42.11', '   time: ', 6116.25124502182)
+('Valid: ', '85.63', 'Valid root: ', '39.96', ' Test all: ', '85.59', 'Test root: ', '40.77', ' Train all: ', '87.30', 'Train root: ', '46.32', '   time: ', 6725.796977043152)
+('Valid: ', '85.60', 'Valid root: ', '42.42', ' Test all: ', '85.79', 'Test root: ', '43.48', ' Train all: ', '87.87', 'Train root: ', '49.01', '   time: ', 7333.711240053177)
+('Valid: ', '85.71', 'Valid root: ', '40.87', ' Test all: ', '85.63', 'Test root: ', '42.53', ' Train all: ', '88.53', 'Train root: ', '48.42', '   time: ', 7936.500128030777)
+('Valid: ', '85.10', 'Valid root: ', '39.96', ' Test all: ', '84.95', 'Test root: ', '40.05', ' Train all: ', '87.77', 'Train root: ', '49.71', '   time: ', 8539.378247022629)
+('Valid: ', '85.29', 'Valid root: ', '44.32', ' Test all: ', '85.09', 'Test root: ', '43.89', ' Train all: ', '87.94', 'Train root: ', '48.89', '   time: ', 9142.119313001633)
+('Valid: ', '85.55', 'Valid root: ', '39.42', ' Test all: ', '85.58', 'Test root: ', '40.14', ' Train all: ', '88.98', 'Train root: ', '48.54', '   time: ', 9744.70216012001)
+('Valid: ', '85.73', 'Valid root: ', '37.97', ' Test all: ', '85.72', 'Test root: ', '38.14', ' Train all: ', '88.58', 'Train root: ', '45.26', '   time: ', 10347.455017089844)
+('Valid: ', '85.83', 'Valid root: ', '41.14', ' Test all: ', '85.69', 'Test root: ', '41.67', ' Train all: ', '89.23', 'Train root: ', '49.36', '   time: ', 10949.975691080093)
+('Valid: ', '85.42', 'Valid root: ', '38.33', ' Test all: ', '85.31', 'Test root: ', '40.23', ' Train all: ', '88.99', 'Train root: ', '51.46', '   time: ', 11552.54940700531)
+('Valid: ', '85.98', 'Valid root: ', '41.42', ' Test all: ', '85.57', 'Test root: ', '39.37', ' Train all: ', '89.72', 'Train root: ', '50.76', '   time: ', 12156.693604946136)
+
+
+
+lr =  0.002
+model 55_pf2_1 :  nchd_dim =  300 ne_dim =  300 nh2_dim =  300
+
+('Valid: ', '80.89', 'Valid root: ', '36.24', ' Test all: ', '80.80', 'Test root: ', '35.25', ' Train all: ', '81.15', 'Train root: ', '36.26', '   time: ', 645.86323595047)
+('Valid: ', '82.05', 'Valid root: ', '35.69', ' Test all: ', '81.99', 'Test root: ', '33.12', ' Train all: ', '82.65', 'Train root: ', '34.85', '   time: ', 1284.2908148765564)
+('Valid: ', '83.41', 'Valid root: ', '40.15', ' Test all: ', '83.52', 'Test root: ', '39.55', ' Train all: ', '84.38', 'Train root: ', '39.30', '   time: ', 1926.5076670646667)
+('Valid: ', '84.23', 'Valid root: ', '39.69', ' Test all: ', '83.97', 'Test root: ', '37.24', ' Train all: ', '85.62', 'Train root: ', '40.47', '   time: ', 2575.724758863449)
+('Valid: ', '84.53', 'Valid root: ', '40.96', ' Test all: ', '84.37', 'Test root: ', '41.18', ' Train all: ', '85.42', 'Train root: ', '41.05', '   time: ', 3220.894973039627)
+('Valid: ', '84.70', 'Valid root: ', '42.05', ' Test all: ', '84.41', 'Test root: ', '40.14', ' Train all: ', '86.97', 'Train root: ', '45.38', '   time: ', 3857.7015738487244)
+('Valid: ', '85.26', 'Valid root: ', '41.51', ' Test all: ', '85.07', 'Test root: ', '39.10', ' Train all: ', '86.55', 'Train root: ', '44.44', '   time: ', 4494.303256034851)
+('Valid: ', '85.42', 'Valid root: ', '41.78', ' Test all: ', '85.07', 'Test root: ', '41.09', ' Train all: ', '87.23', 'Train root: ', '45.50', '   time: ', 5134.18670797348)
+('Valid: ', '85.40', 'Valid root: ', '41.14', ' Test all: ', '85.13', 'Test root: ', '42.49', ' Train all: ', '86.98', 'Train root: ', '45.38', '   time: ', 5768.242791891098)
+('Valid: ', '85.55', 'Valid root: ', '40.33', ' Test all: ', '85.44', 'Test root: ', '39.64', ' Train all: ', '87.28', 'Train root: ', '42.11', '   time: ', 6411.911000967026)
+('Valid: ', '85.62', 'Valid root: ', '40.51', ' Test all: ', '85.65', 'Test root: ', '39.55', ' Train all: ', '87.49', 'Train root: ', '45.15', '   time: ', 7055.552459001541)
+('Valid: ', '85.67', 'Valid root: ', '40.78', ' Test all: ', '85.61', 'Test root: ', '42.44', ' Train all: ', '87.77', 'Train root: ', '48.89', '   time: ', 7695.737693071365)
+('Valid: ', '85.44', 'Valid root: ', '42.96', ' Test all: ', '85.19', 'Test root: ', '42.13', ' Train all: ', '88.21', 'Train root: ', '48.19', '   time: ', 8331.80659198761)
+('Valid: ', '85.31', 'Valid root: ', '40.87', ' Test all: ', '85.05', 'Test root: ', '40.05', ' Train all: ', '88.09', 'Train root: ', '51.11', '   time: ', 8974.369945049286)
+('Valid: ', '84.63', 'Valid root: ', '42.96', ' Test all: ', '84.46', 'Test root: ', '42.90', ' Train all: ', '87.52', 'Train root: ', '49.59', '   time: ', 9618.322505950928)
+('Valid: ', '85.35', 'Valid root: ', '42.51', ' Test all: ', '85.23', 'Test root: ', '39.73', ' Train all: ', '88.95', 'Train root: ', '48.65', '   time: ', 10259.590050935745)
+('Valid: ', '85.62', 'Valid root: ', '37.42', ' Test all: ', '85.54', 'Test root: ', '36.47', ' Train all: ', '88.56', 'Train root: ', '46.67', '   time: ', 10903.349323034286)
+('Best valid: ', '85.67', ' Test all: ', '85.61', 'Test root: ', '42.44', '   time: ', 10903.349374055862)
+
+lr =  0.002
+model 55_pf2_1 :  nchd_dim =  300 ne_dim =  100 nh2_dim =  300
+
+('Valid: ', '80.77', 'Valid root: ', '36.88', ' Test all: ', '80.52', 'Test root: ', '34.39', ' Train all: ', '80.73', 'Train root: ', '32.98', '   time: ', 638.2584629058838)
+('Valid: ', '81.32', 'Valid root: ', '35.60', ' Test all: ', '81.31', 'Test root: ', '33.62', ' Train all: ', '81.76', 'Train root: ', '35.79', '   time: ', 1282.302810907364)
+('Valid: ', '83.13', 'Valid root: ', '38.06', ' Test all: ', '83.19', 'Test root: ', '38.87', ' Train all: ', '83.88', 'Train root: ', '38.25', '   time: ', 1922.9805219173431)
+('Valid: ', '83.90', 'Valid root: ', '37.78', ' Test all: ', '83.89', 'Test root: ', '37.29', ' Train all: ', '85.44', 'Train root: ', '39.65', '   time: ', 2559.171528816223)
+('Valid: ', '84.47', 'Valid root: ', '39.42', ' Test all: ', '84.30', 'Test root: ', '40.09', ' Train all: ', '85.28', 'Train root: ', '40.58', '   time: ', 3195.2548990249634)
+('Valid: ', '84.52', 'Valid root: ', '40.24', ' Test all: ', '84.54', 'Test root: ', '41.31', ' Train all: ', '86.62', 'Train root: ', '43.86', '   time: ', 3830.097865819931)
+('Valid: ', '85.17', 'Valid root: ', '42.14', ' Test all: ', '85.20', 'Test root: ', '39.95', ' Train all: ', '86.57', 'Train root: ', '43.16', '   time: ', 4467.01327085495)
+('Valid: ', '85.27', 'Valid root: ', '42.87', ' Test all: ', '85.19', 'Test root: ', '41.36', ' Train all: ', '86.78', 'Train root: ', '44.56', '   time: ', 5108.602201938629)
+('Valid: ', '85.34', 'Valid root: ', '41.42', ' Test all: ', '85.30', 'Test root: ', '42.31', ' Train all: ', '86.97', 'Train root: ', '44.91', '   time: ', 5729.648022890091)
+('Valid: ', '85.60', 'Valid root: ', '42.33', ' Test all: ', '85.63', 'Test root: ', '41.09', ' Train all: ', '87.29', 'Train root: ', '42.34', '   time: ', 6350.487063884735)
+('Valid: ', '85.64', 'Valid root: ', '40.05', ' Test all: ', '85.70', 'Test root: ', '40.00', ' Train all: ', '87.48', 'Train root: ', '44.33', '   time: ', 6973.995728969574)
+('Valid: ', '85.47', 'Valid root: ', '41.33', ' Test all: ', '85.47', 'Test root: ', '40.68', ' Train all: ', '87.82', 'Train root: ', '47.84', '   time: ', 7596.520707845688)
+('Valid: ', '85.28', 'Valid root: ', '42.05', ' Test all: ', '85.54', 'Test root: ', '42.08', ' Train all: ', '88.32', 'Train root: ', '46.78', '   time: ', 8224.7651720047)
+('Valid: ', '85.28', 'Valid root: ', '41.05', ' Test all: ', '85.10', 'Test root: ', '39.32', ' Train all: ', '87.99', 'Train root: ', '49.01', '   time: ', 8847.087299823761)
+('Valid: ', '85.00', 'Valid root: ', '43.23', ' Test all: ', '85.05', 'Test root: ', '43.39', ' Train all: ', '87.95', 'Train root: ', '49.12', '   time: ', 9469.388356924057)
+('Valid: ', '85.60', 'Valid root: ', '40.87', ' Test all: ', '85.61', 'Test root: ', '38.96', ' Train all: ', '89.14', 'Train root: ', '48.89', '   time: ', 10091.704804897308)
+('Best valid: ', '85.64', ' Test all: ', '85.70', 'Test root: ', '40.00', '   time: ', 10091.704855918884)
+
+lr =  0.002
+model 55_pf7_1 :  neh_dim =  50 ne_dim =  50 nshh_dim =  50 nchd_dim =  50 nh2_dim =  50
+
+('Valid: ', '80.38', 'Valid root: ', '23.71', ' Test all: ', '80.22', 'Test root: ', '22.31', ' Train all: ', '80.53', 'Train root: ', '23.39', '   time: ', 564.2672789096832)
+('Valid: ', '80.69', 'Valid root: ', '25.61', ' Test all: ', '80.61', 'Test root: ', '24.21', ' Train all: ', '81.21', 'Train root: ', '24.56', '   time: ', 1128.4576878547668)
+('Valid: ', '81.63', 'Valid root: ', '25.25', ' Test all: ', '81.58', 'Test root: ', '23.71', ' Train all: ', '82.41', 'Train root: ', '25.38', '   time: ', 1693.1341128349304)
+('Valid: ', '81.69', 'Valid root: ', '21.53', ' Test all: ', '81.46', 'Test root: ', '18.51', ' Train all: ', '82.92', 'Train root: ', '22.57', '   time: ', 2257.5812668800354)
+('Valid: ', '82.31', 'Valid root: ', '24.98', ' Test all: ', '82.28', 'Test root: ', '22.31', ' Train all: ', '83.27', 'Train root: ', '23.27', '   time: ', 2821.867630958557)
+('Valid: ', '83.03', 'Valid root: ', '26.88', ' Test all: ', '83.08', 'Test root: ', '23.03', ' Train all: ', '84.53', 'Train root: ', '22.92', '   time: ', 3386.1459279060364)
+('Valid: ', '83.38', 'Valid root: ', '23.71', ' Test all: ', '83.32', 'Test root: ', '20.86', ' Train all: ', '84.23', 'Train root: ', '21.64', '   time: ', 3950.5062029361725)
+('Valid: ', '83.54', 'Valid root: ', '29.16', ' Test all: ', '83.47', 'Test root: ', '27.24', ' Train all: ', '85.07', 'Train root: ', '29.47', '   time: ', 4514.844529867172)
+('Valid: ', '83.37', 'Valid root: ', '31.15', ' Test all: ', '83.04', 'Test root: ', '28.91', ' Train all: ', '84.17', 'Train root: ', '32.51', '   time: ', 5079.057432889938)
+('Valid: ', '84.34', 'Valid root: ', '28.70', ' Test all: ', '84.25', 'Test root: ', '25.02', ' Train all: ', '85.39', 'Train root: ', '24.68', '   time: ', 5645.028675794601)
+('Valid: ', '84.39', 'Valid root: ', '26.98', ' Test all: ', '84.24', 'Test root: ', '23.35', ' Train all: ', '85.18', 'Train root: ', '25.15', '   time: ', 6210.835155963898)
+('Valid: ', '84.54', 'Valid root: ', '37.15', ' Test all: ', '84.63', 'Test root: ', '35.38', ' Train all: ', '85.83', 'Train root: ', '36.84', '   time: ', 6776.459669828415)
+('Valid: ', '84.98', 'Valid root: ', '37.51', ' Test all: ', '84.52', 'Test root: ', '36.06', ' Train all: ', '86.71', 'Train root: ', '38.13', '   time: ', 7342.592258930206)
+('Valid: ', '84.47', 'Valid root: ', '37.15', ' Test all: ', '84.44', 'Test root: ', '37.47', ' Train all: ', '86.15', 'Train root: ', '42.46', '   time: ', 7908.357467889786)
+('Valid: ', '83.76', 'Valid root: ', '39.33', ' Test all: ', '83.45', 'Test root: ', '38.64', ' Train all: ', '85.52', 'Train root: ', '44.09', '   time: ', 8474.221194982529)
+('Valid: ', '85.22', 'Valid root: ', '39.87', ' Test all: ', '85.16', 'Test root: ', '38.24', ' Train all: ', '87.22', 'Train root: ', '40.70', '   time: ', 9039.951131820679)
+('Valid: ', '85.20', 'Valid root: ', '34.51', ' Test all: ', '85.10', 'Test root: ', '32.08', ' Train all: ', '86.93', 'Train root: ', '36.14', '   time: ', 9605.697765827179)
+('Valid: ', '85.42', 'Valid root: ', '40.24', ' Test all: ', '85.25', 'Test root: ', '37.19', ' Train all: ', '87.25', 'Train root: ', '40.12', '   time: ', 10171.347483873367)
+('Valid: ', '85.00', 'Valid root: ', '36.78', ' Test all: ', '85.04', 'Test root: ', '37.24', ' Train all: ', '86.82', 'Train root: ', '37.43', '   time: ', 10737.150427818298)
+('Valid: ', '85.57', 'Valid root: ', '39.42', ' Test all: ', '85.08', 'Test root: ', '34.84', ' Train all: ', '87.55', 'Train root: ', '40.35', '   time: ', 11303.058693885803)
+('Valid: ', '85.45', 'Valid root: ', '41.60', ' Test all: ', '85.32', 'Test root: ', '39.73', ' Train all: ', '87.87', 'Train root: ', '43.16', '   time: ', 11869.031131029129)
+('Valid: ', '85.64', 'Valid root: ', '42.78', ' Test all: ', '85.40', 'Test root: ', '39.73', ' Train all: ', '87.93', 'Train root: ', '43.74', '   time: ', 12434.95144200325)
+('Valid: ', '84.63', 'Valid root: ', '38.69', ' Test all: ', '84.59', 'Test root: ', '37.96', ' Train all: ', '87.36', 'Train root: ', '43.63', '   time: ', 13000.888789892197)
+('Valid: ', '85.34', 'Valid root: ', '37.69', ' Test all: ', '85.34', 'Test root: ', '36.24', ' Train all: ', '87.78', 'Train root: ', '43.86', '   time: ', 13566.766036987305)
+('Valid: ', '85.40', 'Valid root: ', '41.24', ' Test all: ', '85.31', 'Test root: ', '40.14', ' Train all: ', '87.66', 'Train root: ', '49.01', '   time: ', 14134.258266925812)
+('Valid: ', '85.27', 'Valid root: ', '42.05', ' Test all: ', '85.31', 'Test root: ', '40.32', ' Train all: ', '87.56', 'Train root: ', '43.74', '   time: ', 14700.669888973236)
+('Valid: ', '85.25', 'Valid root: ', '40.15', ' Test all: ', '85.46', 'Test root: ', '40.68', ' Train all: ', '88.34', 'Train root: ', '47.25', '   time: ', 15266.947016000748)
+('Best valid: ', '85.64', ' Test all: ', '85.40', 'Test root: ', '39.73', '   time: ', 15266.947067022324)
+
+lr =  0.002
+model 55_pf7_1 :  neh_dim =  100 ne_dim =  100 nshh_dim =  100 nchd_dim =  100 nh2_dim =  100
+
+('Valid: ', '80.32', 'Valid root: ', '27.07', ' Test all: ', '80.28', 'Test root: ', '25.38', ' Train all: ', '80.46', 'Train root: ', '25.26', '   time: ', 552.2435348033905)
+('Valid: ', '81.00', 'Valid root: ', '31.61', ' Test all: ', '80.87', 'Test root: ', '30.72', ' Train all: ', '81.65', 'Train root: ', '32.98', '   time: ', 1104.4234910011292)
+('Valid: ', '81.77', 'Valid root: ', '25.70', ' Test all: ', '81.62', 'Test root: ', '24.93', ' Train all: ', '82.34', 'Train root: ', '25.61', '   time: ', 1656.800057888031)
+('Valid: ', '82.68', 'Valid root: ', '29.79', ' Test all: ', '82.61', 'Test root: ', '29.05', ' Train all: ', '84.29', 'Train root: ', '32.63', '   time: ', 2209.1964337825775)
+('Valid: ', '82.50', 'Valid root: ', '34.24', ' Test all: ', '82.33', 'Test root: ', '31.99', ' Train all: ', '83.22', 'Train root: ', '32.28', '   time: ', 2761.6306948661804)
+('Valid: ', '82.32', 'Valid root: ', '32.88', ' Test all: ', '82.78', 'Test root: ', '34.93', ' Train all: ', '84.59', 'Train root: ', '35.56', '   time: ', 3313.9350719451904)
+('Valid: ', '84.07', 'Valid root: ', '33.61', ' Test all: ', '84.05', 'Test root: ', '32.58', ' Train all: ', '85.09', 'Train root: ', '35.09', '   time: ', 3866.305163860321)
+('Valid: ', '84.77', 'Valid root: ', '39.69', ' Test all: ', '84.68', 'Test root: ', '38.96', ' Train all: ', '86.04', 'Train root: ', '41.52', '   time: ', 4418.58726477623)
+('Valid: ', '84.85', 'Valid root: ', '41.05', ' Test all: ', '84.46', 'Test root: ', '39.86', ' Train all: ', '86.05', 'Train root: ', '42.81', '   time: ', 4970.929024934769)
+('Valid: ', '85.13', 'Valid root: ', '39.60', ' Test all: ', '84.90', 'Test root: ', '37.15', ' Train all: ', '86.24', 'Train root: ', '37.31', '   time: ', 5522.878082990646)
+('Valid: ', '84.94', 'Valid root: ', '34.51', ' Test all: ', '84.65', 'Test root: ', '30.27', ' Train all: ', '85.77', 'Train root: ', '29.12', '   time: ', 6074.653908967972)
+('Valid: ', '85.47', 'Valid root: ', '41.24', ' Test all: ', '85.32', 'Test root: ', '39.32', ' Train all: ', '86.92', 'Train root: ', '43.27', '   time: ', 6626.384911775589)
+('Valid: ', '85.29', 'Valid root: ', '40.05', ' Test all: ', '85.06', 'Test root: ', '38.33', ' Train all: ', '87.44', 'Train root: ', '42.69', '   time: ', 7179.339271783829)
+('Valid: ', '85.39', 'Valid root: ', '41.51', ' Test all: ', '85.23', 'Test root: ', '38.51', ' Train all: ', '87.49', 'Train root: ', '46.67', '   time: ', 7729.370741844177)
+('Valid: ', '84.20', 'Valid root: ', '41.78', ' Test all: ', '83.77', 'Test root: ', '39.05', ' Train all: ', '86.05', 'Train root: ', '43.39', '   time: ', 8279.3805539608)
+('Valid: ', '85.54', 'Valid root: ', '40.51', ' Test all: ', '85.38', 'Test root: ', '37.33', ' Train all: ', '87.72', 'Train root: ', '42.81', '   time: ', 8829.47950387001)
+('Valid: ', '85.39', 'Valid root: ', '35.79', ' Test all: ', '85.26', 'Test root: ', '34.39', ' Train all: ', '87.41', 'Train root: ', '40.82', '   time: ', 9379.580118894577)
+('Valid: ', '85.88', 'Valid root: ', '42.87', ' Test all: ', '85.40', 'Test root: ', '39.50', ' Train all: ', '87.89', 'Train root: ', '43.27', '   time: ', 9929.696020841599)
+('Valid: ', '85.17', 'Valid root: ', '38.96', ' Test all: ', '84.97', 'Test root: ', '38.51', ' Train all: ', '87.58', 'Train root: ', '45.61', '   time: ', 10479.948515892029)
+('Valid: ', '85.57', 'Valid root: ', '41.14', ' Test all: ', '85.39', 'Test root: ', '38.51', ' Train all: ', '88.41', 'Train root: ', '46.67', '   time: ', 11030.209080934525)
+('Valid: ', '85.61', 'Valid root: ', '42.96', ' Test all: ', '85.50', 'Test root: ', '38.96', ' Train all: ', '88.23', 'Train root: ', '46.08', '   time: ', 11580.237161874771)
+('Valid: ', '85.86', 'Valid root: ', '41.96', ' Test all: ', '85.57', 'Test root: ', '40.59', ' Train all: ', '88.88', 'Train root: ', '49.24', '   time: ', 12130.336062908173)
+('Valid: ', '85.18', 'Valid root: ', '40.33', ' Test all: ', '85.07', 'Test root: ', '38.87', ' Train all: ', '88.49', 'Train root: ', '45.85', '   time: ', 12680.401663780212)
+('Best valid: ', '85.88', ' Test all: ', '85.40', 'Test root: ', '39.50', '   time: ', 12680.401719808578)
+
+
+lr =  0.002
+model 55_pf7_1 :  neh_dim =  200 ne_dim =  200 nshh_dim =  200 nchd_dim =  200 nh2_dim =  200
+
+('Valid: ', '80.34', 'Valid root: ', '33.97', ' Test all: ', '80.14', 'Test root: ', '33.30', ' Train all: ', '80.38', 'Train root: ', '32.63', '   time: ', 625.0324120521545)
+('Valid: ', '80.30', 'Valid root: ', '31.43', ' Test all: ', '80.27', 'Test root: ', '30.45', ' Train all: ', '80.84', 'Train root: ', '32.40', '   time: ', 1250.027526140213)
+('Valid: ', '82.65', 'Valid root: ', '37.78', ' Test all: ', '82.83', 'Test root: ', '36.56', ' Train all: ', '83.56', 'Train root: ', '36.37', '   time: ', 1875.1485722064972)
+('Valid: ', '83.81', 'Valid root: ', '36.06', ' Test all: ', '83.77', 'Test root: ', '36.33', ' Train all: ', '85.34', 'Train root: ', '39.77', '   time: ', 2511.2600350379944)
+('Valid: ', '84.32', 'Valid root: ', '41.33', ' Test all: ', '84.21', 'Test root: ', '40.50', ' Train all: ', '85.03', 'Train root: ', '40.12', '   time: ', 3152.8963351249695)
+('Valid: ', '84.21', 'Valid root: ', '39.87', ' Test all: ', '84.23', 'Test root: ', '37.87', ' Train all: ', '86.25', 'Train root: ', '42.57', '   time: ', 3794.72248005867)
+('Valid: ', '85.02', 'Valid root: ', '40.78', ' Test all: ', '84.91', 'Test root: ', '38.60', ' Train all: ', '86.04', 'Train root: ', '40.58', '   time: ', 4446.84010720253)
+('Valid: ', '85.21', 'Valid root: ', '42.60', ' Test all: ', '85.17', 'Test root: ', '41.76', ' Train all: ', '86.61', 'Train root: ', '42.34', '   time: ', 5100.8738260269165)
+('Valid: ', '85.35', 'Valid root: ', '40.51', ' Test all: ', '85.21', 'Test root: ', '41.67', ' Train all: ', '86.66', 'Train root: ', '43.16', '   time: ', 5748.541650056839)
+('Valid: ', '85.39', 'Valid root: ', '41.69', ' Test all: ', '85.43', 'Test root: ', '40.54', ' Train all: ', '86.93', 'Train root: ', '40.23', '   time: ', 6390.178795099258)
+('Valid: ', '85.43', 'Valid root: ', '39.06', ' Test all: ', '85.38', 'Test root: ', '37.33', ' Train all: ', '86.62', 'Train root: ', '40.12', '   time: ', 7030.316021203995)
+('Valid: ', '85.56', 'Valid root: ', '43.14', ' Test all: ', '85.74', 'Test root: ', '42.90', ' Train all: ', '87.25', 'Train root: ', '44.33', '   time: ', 7669.129991054535)
+('Valid: ', '85.50', 'Valid root: ', '40.69', ' Test all: ', '85.41', 'Test root: ', '39.05', ' Train all: ', '87.94', 'Train root: ', '43.98', '   time: ', 8295.584135055542)
+('Valid: ', '85.41', 'Valid root: ', '39.78', ' Test all: ', '85.51', 'Test root: ', '39.46', ' Train all: ', '87.74', 'Train root: ', '46.43', '   time: ', 8921.99415898323)
+('Valid: ', '84.95', 'Valid root: ', '43.87', ' Test all: ', '84.53', 'Test root: ', '41.90', ' Train all: ', '87.02', 'Train root: ', '46.55', '   time: ', 9551.110087156296)
+('Valid: ', '85.64', 'Valid root: ', '41.51', ' Test all: ', '85.61', 'Test root: ', '39.86', ' Train all: ', '88.29', 'Train root: ', '46.32', '   time: ', 10203.231799125671)
+('Valid: ', '85.50', 'Valid root: ', '35.79', ' Test all: ', '85.50', 'Test root: ', '34.71', ' Train all: ', '87.59', 'Train root: ', '39.65', '   time: ', 10847.27900314331)
+('Valid: ', '85.79', 'Valid root: ', '43.42', ' Test all: ', '85.60', 'Test root: ', '41.81', ' Train all: ', '88.45', 'Train root: ', '46.43', '   time: ', 11493.120635032654)
+('Valid: ', '85.24', 'Valid root: ', '39.60', ' Test all: ', '85.32', 'Test root: ', '41.27', ' Train all: ', '87.91', 'Train root: ', '44.91', '   time: ', 12139.657875061035)
+('Valid: ', '85.92', 'Valid root: ', '42.69', ' Test all: ', '85.47', 'Test root: ', '40.41', ' Train all: ', '88.95', 'Train root: ', '49.24', '   time: ', 12787.039348125458)
+('Valid: ', '85.91', 'Valid root: ', '42.14', ' Test all: ', '85.70', 'Test root: ', '39.37', ' Train all: ', '88.69', 'Train root: ', '48.30', '   time: ', 13435.09098315239)
+('Valid: ', '85.68', 'Valid root: ', '42.05', ' Test all: ', '85.73', 'Test root: ', '40.09', ' Train all: ', '89.25', 'Train root: ', '50.06', '   time: ', 14082.98662519455)
+('Valid: ', '85.27', 'Valid root: ', '41.78', ' Test all: ', '85.04', 'Test root: ', '40.05', ' Train all: ', '89.28', 'Train root: ', '47.95', '   time: ', 14735.354485034943)
+('Valid: ', '85.73', 'Valid root: ', '40.87', ' Test all: ', '85.61', 'Test root: ', '39.00', ' Train all: ', '89.00', 'Train root: ', '51.35', '   time: ', 15379.509752988815)
+('Valid: ', '85.53', 'Valid root: ', '41.69', ' Test all: ', '85.65', 'Test root: ', '41.76', ' Train all: ', '89.46', 'Train root: ', '54.15', '   time: ', 16028.895664215088)
+('Best valid: ', '85.92', ' Test all: ', '85.47', 'Test root: ', '40.41', '   time: ', 16028.895716190338)
+
+lr =  0.002
+model 55_pf7_1 :  neh_dim =  300 ne_dim =  200 nshh_dim =  300 nchd_dim =  200 nh2_dim =  200
+
+('Valid: ', '80.47', 'Valid root: ', '33.97', ' Test all: ', '80.24', 'Test root: ', '33.17', ' Train all: ', '80.62', 'Train root: ', '33.80', '   time: ', 649.1485121250153)
+('Valid: ', '80.47', 'Valid root: ', '32.33', ' Test all: ', '80.44', 'Test root: ', '31.18', ' Train all: ', '80.92', 'Train root: ', '33.10', '   time: ', 1299.3161220550537)
+('Valid: ', '82.87', 'Valid root: ', '38.69', ' Test all: ', '83.10', 'Test root: ', '38.01', ' Train all: ', '83.80', 'Train root: ', '36.73', '   time: ', 1945.2383680343628)
+('Valid: ', '83.90', 'Valid root: ', '37.42', ' Test all: ', '83.91', 'Test root: ', '36.15', ' Train all: ', '85.39', 'Train root: ', '39.53', '   time: ', 2598.7982840538025)
+('Valid: ', '84.39', 'Valid root: ', '41.24', ' Test all: ', '84.24', 'Test root: ', '40.18', ' Train all: ', '85.06', 'Train root: ', '40.00', '   time: ', 3232.891741991043)
+('Valid: ', '84.69', 'Valid root: ', '40.96', ' Test all: ', '84.61', 'Test root: ', '39.64', ' Train all: ', '86.63', 'Train root: ', '43.39', '   time: ', 3861.1432690620422)
+('Valid: ', '85.13', 'Valid root: ', '42.42', ' Test all: ', '85.05', 'Test root: ', '39.73', ' Train all: ', '86.03', 'Train root: ', '41.17', '   time: ', 4489.202955961227)
+('Valid: ', '85.24', 'Valid root: ', '43.32', ' Test all: ', '85.09', 'Test root: ', '41.63', ' Train all: ', '86.69', 'Train root: ', '43.63', '   time: ', 5117.460530996323)
+('Valid: ', '85.38', 'Valid root: ', '41.60', ' Test all: ', '85.11', 'Test root: ', '41.58', ' Train all: ', '86.68', 'Train root: ', '43.63', '   time: ', 5745.588077068329)
+('Valid: ', '85.38', 'Valid root: ', '40.96', ' Test all: ', '85.40', 'Test root: ', '39.59', ' Train all: ', '86.83', 'Train root: ', '40.23', '   time: ', 6373.730889081955)
+('Valid: ', '85.60', 'Valid root: ', '38.78', ' Test all: ', '85.37', 'Test root: ', '36.24', ' Train all: ', '86.78', 'Train root: ', '41.05', '   time: ', 7002.059184074402)
+('Valid: ', '85.75', 'Valid root: ', '42.96', ' Test all: ', '85.77', 'Test root: ', '41.90', ' Train all: ', '87.21', 'Train root: ', '46.08', '   time: ', 7630.25333404541)
+('Valid: ', '85.67', 'Valid root: ', '41.60', ' Test all: ', '85.58', 'Test root: ', '39.00', ' Train all: ', '88.21', 'Train root: ', '45.15', '   time: ', 8258.47223496437)
+('Valid: ', '85.23', 'Valid root: ', '40.33', ' Test all: ', '85.13', 'Test root: ', '38.46', ' Train all: ', '87.46', 'Train root: ', '46.78', '   time: ', 8886.500918149948)
+('Valid: ', '84.59', 'Valid root: ', '44.05', ' Test all: ', '84.36', 'Test root: ', '42.13', ' Train all: ', '86.76', 'Train root: ', '46.43', '   time: ', 9514.679700136185)
+('Valid: ', '85.64', 'Valid root: ', '43.23', ' Test all: ', '85.48', 'Test root: ', '39.82', ' Train all: ', '88.45', 'Train root: ', '48.65', '   time: ', 10142.70224905014)
+('Valid: ', '85.69', 'Valid root: ', '38.24', ' Test all: ', '85.69', 'Test root: ', '36.88', ' Train all: ', '87.94', 'Train root: ', '42.92', '   time: ', 10770.952471017838)
+('Best valid: ', '85.75', ' Test all: ', '85.77', 'Test root: ', '41.90', '   time: ', 10770.952522039413)
+
+lr =  0.002
+model 55_pf7_1 :  neh_dim =  200 ne_dim =  100 nshh_dim =  200 nchd_dim =  200 nh2_dim =  300
+
+('Valid: ', '80.36', 'Valid root: ', '33.79', ' Test all: ', '80.15', 'Test root: ', '33.08', ' Train all: ', '80.50', 'Train root: ', '33.57', '   time: ', 582.5763900279999)
+('Valid: ', '80.56', 'Valid root: ', '31.52', ' Test all: ', '80.66', 'Test root: ', '31.31', ' Train all: ', '81.24', 'Train root: ', '32.87', '   time: ', 1180.7343850135803)
+('Valid: ', '82.56', 'Valid root: ', '36.78', ' Test all: ', '82.66', 'Test root: ', '36.43', ' Train all: ', '83.26', 'Train root: ', '35.56', '   time: ', 1780.4620881080627)
+('Valid: ', '83.57', 'Valid root: ', '36.51', ' Test all: ', '83.58', 'Test root: ', '34.07', ' Train all: ', '85.16', 'Train root: ', '38.71', '   time: ', 2375.5168409347534)
+('Valid: ', '84.16', 'Valid root: ', '41.05', ' Test all: ', '84.03', 'Test root: ', '39.00', ' Train all: ', '84.90', 'Train root: ', '40.23', '   time: ', 2969.0948741436005)
+('Valid: ', '84.43', 'Valid root: ', '41.60', ' Test all: ', '84.34', 'Test root: ', '37.60', ' Train all: ', '86.45', 'Train root: ', '42.92', '   time: ', 3571.134271144867)
+('Valid: ', '84.91', 'Valid root: ', '40.15', ' Test all: ', '84.86', 'Test root: ', '37.96', ' Train all: ', '85.83', 'Train root: ', '41.40', '   time: ', 4167.472471952438)
+('Valid: ', '85.09', 'Valid root: ', '43.51', ' Test all: ', '85.03', 'Test root: ', '40.27', ' Train all: ', '86.45', 'Train root: ', '41.40', '   time: ', 4766.147953987122)
+('Valid: ', '85.27', 'Valid root: ', '40.05', ' Test all: ', '85.16', 'Test root: ', '41.22', ' Train all: ', '86.44', 'Train root: ', '42.46', '   time: ', 5360.989228963852)
+('Valid: ', '85.39', 'Valid root: ', '41.96', ' Test all: ', '85.27', 'Test root: ', '39.73', ' Train all: ', '86.57', 'Train root: ', '40.58', '   time: ', 5959.334602117538)
+('Valid: ', '85.31', 'Valid root: ', '38.06', ' Test all: ', '85.24', 'Test root: ', '35.70', ' Train all: ', '86.48', 'Train root: ', '40.00', '   time: ', 6558.087121009827)
+('Valid: ', '85.43', 'Valid root: ', '43.23', ' Test all: ', '85.34', 'Test root: ', '42.26', ' Train all: ', '86.97', 'Train root: ', '45.15', '   time: ', 7152.64220905304)
+('Valid: ', '85.35', 'Valid root: ', '40.15', ' Test all: ', '85.33', 'Test root: ', '39.64', ' Train all: ', '88.03', 'Train root: ', '44.56', '   time: ', 7751.8905301094055)
+('Valid: ', '85.18', 'Valid root: ', '38.87', ' Test all: ', '85.35', 'Test root: ', '38.10', ' Train all: ', '87.41', 'Train root: ', '45.73', '   time: ', 8344.525442123413)
+('Valid: ', '84.55', 'Valid root: ', '43.51', ' Test all: ', '84.33', 'Test root: ', '42.13', ' Train all: ', '86.68', 'Train root: ', '45.96', '   time: ', 8943.984890937805)
+('Valid: ', '85.53', 'Valid root: ', '41.51', ' Test all: ', '85.52', 'Test root: ', '39.64', ' Train all: ', '88.19', 'Train root: ', '46.20', '   time: ', 9538.358632087708)
+('Valid: ', '85.52', 'Valid root: ', '35.97', ' Test all: ', '85.61', 'Test root: ', '36.24', ' Train all: ', '87.75', 'Train root: ', '44.09', '   time: ', 10132.284461975098)
+('Valid: ', '85.60', 'Valid root: ', '40.60', ' Test all: ', '85.43', 'Test root: ', '39.37', ' Train all: ', '88.23', 'Train root: ', '45.96', '   time: ', 10725.928841114044)
+('Valid: ', '85.29', 'Valid root: ', '38.51', ' Test all: ', '85.35', 'Test root: ', '39.59', ' Train all: ', '87.76', 'Train root: ', '45.15', '   time: ', 11327.645630121231)
+('Valid: ', '85.81', 'Valid root: ', '41.14', ' Test all: ', '85.64', 'Test root: ', '38.87', ' Train all: ', '88.77', 'Train root: ', '47.60', '   time: ', 11914.161189079285)
+('Valid: ', '85.80', 'Valid root: ', '42.60', ' Test all: ', '85.62', 'Test root: ', '39.23', ' Train all: ', '88.94', 'Train root: ', '48.30', '   time: ', 12513.859575986862)
+('Valid: ', '83.71', 'Valid root: ', '24.61', ' Test all: ', '83.47', 'Test root: ', '22.85', ' Train all: ', '85.44', 'Train root: ', '22.34', '   time: ', 13110.296144008636)
+('Valid: ', '83.72', 'Valid root: ', '33.06', ' Test all: ', '83.83', 'Test root: ', '30.63', ' Train all: ', '86.18', 'Train root: ', '36.26', '   time: ', 13702.855381011963)
+('Valid: ', '84.89', 'Valid root: ', '33.88', ' Test all: ', '85.11', 'Test root: ', '35.38', ' Train all: ', '87.15', 'Train root: ', '40.94', '   time: ', 14292.948629140854)
+('Valid: ', '84.85', 'Valid root: ', '38.51', ' Test all: ', '84.96', 'Test root: ', '39.46', ' Train all: ', '87.38', 'Train root: ', '46.67', '   time: ', 14885.026821136475)
+('Best valid: ', '85.81', ' Test all: ', '85.64', 'Test root: ', '38.87', '   time: ', 14885.02687716484)
diff --git a/results/wyniki_polskie_LSTM.txt b/results/wyniki_polskie_LSTM.txt
index af9eeb3..bc95cfc 100644
--- a/results/wyniki_polskie_LSTM.txt
+++ b/results/wyniki_polskie_LSTM.txt
@@ -1,4 +1,4 @@
-model LSTM_` :  h_dim =  50
+model LSTM_1 :  h_dim =  50
 
 ('epoch: ', 0, 'V all: ', '86.72', '   Test all: ', '84.96', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '85.41', '   Train root: ', '89.79')
 ('epoch: ', 1, 'V all: ', '88.09', '   Test all: ', '86.18', 'V root: ', '86.67', '   Test root: ', '93.33', '   Train: ', '87.33', '   Train root: ', '91.56')
@@ -42,8 +42,30 @@ model LSTM_` :  h_dim =  50
 ('epoch: ', 39, 'V all: ', '91.37', '   Test all: ', '89.84', 'V root: ', '84.17', '   Test root: ', '90.00', '   Train: ', '99.35', '   Train root: ', '100.00')
 ('Best valid: ', '91.53', ' Test all: ', '89.76', 'Test root: ', '90.00', '   time: ', 994.7734930515289)
 
+model LSTM_1 :  h_dim =  75  learning rate =  0.01  batch_size =  1
 
-model LSTM_` :  h_dim =  100
+('epoch: ', 0, 'V all: ', '88.55', '   Test all: ', '86.75', 'V root: ', '90.83', '   Test root: ', '90.83', '   Train: ', '88.43', '   Train root: ', '90.42')
+('epoch: ', 1, 'V all: ', '88.32', '   Test all: ', '89.02', 'V root: ', '84.17', '   Test root: ', '89.17', '   Train: ', '91.58', '   Train root: ', '89.38')
+('epoch: ', 2, 'V all: ', '90.00', '   Test all: ', '88.78', 'V root: ', '85.83', '   Test root: ', '90.00', '   Train: ', '93.06', '   Train root: ', '95.21')
+('epoch: ', 3, 'V all: ', '90.53', '   Test all: ', '88.54', 'V root: ', '85.83', '   Test root: ', '86.67', '   Train: ', '95.65', '   Train root: ', '96.25')
+('epoch: ', 4, 'V all: ', '91.45', '   Test all: ', '89.84', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '97.06', '   Train root: ', '97.71')
+('epoch: ', 5, 'V all: ', '91.15', '   Test all: ', '89.27', 'V root: ', '85.83', '   Test root: ', '86.67', '   Train: ', '97.95', '   Train root: ', '97.60')
+('epoch: ', 6, 'V all: ', '91.37', '   Test all: ', '89.84', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '98.29', '   Train root: ', '98.02')
+('epoch: ', 7, 'V all: ', '91.68', '   Test all: ', '89.27', 'V root: ', '85.83', '   Test root: ', '88.33', '   Train: ', '98.60', '   Train root: ', '97.71')
+('epoch: ', 8, 'V all: ', '91.53', '   Test all: ', '90.00', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '98.98', '   Train root: ', '99.48')
+('epoch: ', 9, 'V all: ', '91.83', '   Test all: ', '90.00', 'V root: ', '88.33', '   Test root: ', '89.17', '   Train: ', '99.21', '   Train root: ', '99.38')
+('epoch: ', 10, 'V all: ', '91.60', '   Test all: ', '89.27', 'V root: ', '87.50', '   Test root: ', '86.67', '   Train: ', '99.23', '   Train root: ', '100.00')
+('epoch: ', 11, 'V all: ', '91.83', '   Test all: ', '89.35', 'V root: ', '90.00', '   Test root: ', '86.67', '   Train: ', '99.32', '   Train root: ', '99.79')
+('epoch: ', 12, 'V all: ', '91.91', '   Test all: ', '89.67', 'V root: ', '90.00', '   Test root: ', '90.00', '   Train: ', '99.36', '   Train root: ', '100.00')
+('epoch: ', 13, 'V all: ', '91.68', '   Test all: ', '90.00', 'V root: ', '88.33', '   Test root: ', '88.33', '   Train: ', '99.45', '   Train root: ', '99.90')
+('epoch: ', 14, 'V all: ', '91.91', '   Test all: ', '89.67', 'V root: ', '90.83', '   Test root: ', '90.83', '   Train: ', '99.41', '   Train root: ', '100.00')
+('epoch: ', 15, 'V all: ', '91.53', '   Test all: ', '90.41', 'V root: ', '87.50', '   Test root: ', '89.17', '   Train: ', '99.49', '   Train root: ', '99.90')
+('epoch: ', 16, 'V all: ', '91.68', '   Test all: ', '89.92', 'V root: ', '87.50', '   Test root: ', '88.33', '   Train: ', '99.53', '   Train root: ', '100.00')
+('epoch: ', 17, 'V all: ', '91.45', '   Test all: ', '89.84', 'V root: ', '87.50', '   Test root: ', '87.50', '   Train: ', '99.51', '   Train root: ', '100.00')
+('Best valid: ', '91.91', ' Test all: ', '89.67', 'Test root: ', '90.00', '   time: ', 396.0824830532074)
+
+
+model LSTM_1 :  h_dim =  100
 
 ('epoch: ', 0, 'V all: ', '86.87', '   Test all: ', '85.12', 'V root: ', '86.67', '   Test root: ', '89.17', '   Train: ', '86.00', '   Train root: ', '89.17')
 ('epoch: ', 1, 'V all: ', '88.17', '   Test all: ', '86.02', 'V root: ', '85.00', '   Test root: ', '93.33', '   Train: ', '87.39', '   Train root: ', '90.94')
@@ -69,7 +91,7 @@ model LSTM_` :  h_dim =  100
 ('epoch: ', 21, 'V all: ', '91.15', '   Test all: ', '88.29', 'V root: ', '82.50', '   Test root: ', '85.83', '   Train: ', '98.91', '   Train root: ', '99.69')
 ('Best valid: ', '91.53', ' Test all: ', '88.70', 'Test root: ', '85.83', '   time: ', 563.8133380413055)
 
-model LSTM_` :  h_dim =  150
+model LSTM_1 :  h_dim =  150
 
 ('epoch: ', 0, 'V all: ', '86.87', '   Test all: ', '85.37', 'V root: ', '85.00', '   Test root: ', '89.17', '   Train: ', '86.18', '   Train root: ', '88.12')
 ('epoch: ', 1, 'V all: ', '88.02', '   Test all: ', '86.42', 'V root: ', '85.83', '   Test root: ', '92.50', '   Train: ', '87.47', '   Train root: ', '90.00')
@@ -96,3 +118,2289 @@ model LSTM_` :  h_dim =  150
 ('epoch: ', 22, 'V all: ', '90.99', '   Test all: ', '88.62', 'V root: ', '86.67', '   Test root: ', '84.17', '   Train: ', '98.81', '   Train root: ', '99.17')
 ('Best valid: ', '91.53', ' Test all: ', '89.19', 'Test root: ', '85.00', '   time: ', 643.6852860450745)
 
+
+model LSTM_1_2 :  h_dim =  30  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '86.64', '   Test all: ', '85.28', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '85.55', '   Train root: ', '92.50')
+('epoch: ', 2, 'V all: ', '87.18', '   Test all: ', '86.02', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '86.27', '   Train root: ', '92.29')
+('epoch: ', 3, 'V all: ', '87.48', '   Test all: ', '86.18', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '87.20', '   Train root: ', '90.73')
+('epoch: ', 4, 'V all: ', '88.17', '   Test all: ', '87.07', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '88.01', '   Train root: ', '92.81')
+('epoch: ', 5, 'V all: ', '88.32', '   Test all: ', '87.15', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '88.82', '   Train root: ', '92.08')
+('epoch: ', 6, 'V all: ', '88.93', '   Test all: ', '87.32', 'V root: ', '87.50', '   Test root: ', '90.00', '   Train: ', '89.66', '   Train root: ', '91.98')
+('epoch: ', 7, 'V all: ', '89.39', '   Test all: ', '88.21', 'V root: ', '90.83', '   Test root: ', '95.83', '   Train: ', '90.00', '   Train root: ', '93.85')
+('epoch: ', 8, 'V all: ', '89.39', '   Test all: ', '88.13', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '90.57', '   Train root: ', '93.44')
+('epoch: ', 9, 'V all: ', '89.54', '   Test all: ', '88.78', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '91.09', '   Train root: ', '94.69')
+('epoch: ', 10, 'V all: ', '89.62', '   Test all: ', '88.94', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '91.58', '   Train root: ', '94.38')
+('epoch: ', 11, 'V all: ', '89.69', '   Test all: ', '89.92', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '92.26', '   Train root: ', '94.69')
+('epoch: ', 12, 'V all: ', '90.15', '   Test all: ', '89.92', 'V root: ', '90.83', '   Test root: ', '91.67', '   Train: ', '92.76', '   Train root: ', '95.21')
+('epoch: ', 13, 'V all: ', '90.00', '   Test all: ', '90.00', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '93.02', '   Train root: ', '95.73')
+('epoch: ', 14, 'V all: ', '90.31', '   Test all: ', '89.92', 'V root: ', '92.50', '   Test root: ', '94.17', '   Train: ', '93.14', '   Train root: ', '96.67')
+('epoch: ', 15, 'V all: ', '90.61', '   Test all: ', '89.59', 'V root: ', '93.33', '   Test root: ', '92.50', '   Train: ', '93.83', '   Train root: ', '95.83')
+('epoch: ', 16, 'V all: ', '90.31', '   Test all: ', '89.35', 'V root: ', '90.00', '   Test root: ', '90.00', '   Train: ', '94.36', '   Train root: ', '96.56')
+('epoch: ', 17, 'V all: ', '90.38', '   Test all: ', '89.59', 'V root: ', '87.50', '   Test root: ', '90.00', '   Train: ', '94.80', '   Train root: ', '96.35')
+('epoch: ', 18, 'V all: ', '91.07', '   Test all: ', '89.67', 'V root: ', '91.67', '   Test root: ', '88.33', '   Train: ', '94.95', '   Train root: ', '96.67')
+('epoch: ', 19, 'V all: ', '90.53', '   Test all: ', '89.11', 'V root: ', '86.67', '   Test root: ', '88.33', '   Train: ', '95.44', '   Train root: ', '97.19')
+('epoch: ', 20, 'V all: ', '90.84', '   Test all: ', '89.51', 'V root: ', '87.50', '   Test root: ', '87.50', '   Train: ', '95.71', '   Train root: ', '96.67')
+('epoch: ', 21, 'V all: ', '90.99', '   Test all: ', '89.35', 'V root: ', '87.50', '   Test root: ', '89.17', '   Train: ', '95.98', '   Train root: ', '97.08')
+('epoch: ', 22, 'V all: ', '91.15', '   Test all: ', '89.27', 'V root: ', '89.17', '   Test root: ', '89.17', '   Train: ', '95.99', '   Train root: ', '97.60')
+('epoch: ', 23, 'V all: ', '91.45', '   Test all: ', '89.35', 'V root: ', '89.17', '   Test root: ', '88.33', '   Train: ', '96.49', '   Train root: ', '97.92')
+('epoch: ', 24, 'V all: ', '91.22', '   Test all: ', '89.19', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '96.48', '   Train root: ', '98.85')
+('epoch: ', 25, 'V all: ', '91.45', '   Test all: ', '89.35', 'V root: ', '89.17', '   Test root: ', '90.00', '   Train: ', '96.76', '   Train root: ', '98.54')
+('epoch: ', 26, 'V all: ', '91.30', '   Test all: ', '89.59', 'V root: ', '87.50', '   Test root: ', '89.17', '   Train: ', '97.02', '   Train root: ', '98.23')
+('epoch: ', 27, 'V all: ', '91.15', '   Test all: ', '88.86', 'V root: ', '90.00', '   Test root: ', '86.67', '   Train: ', '97.15', '   Train root: ', '98.65')
+('epoch: ', 28, 'V all: ', '91.07', '   Test all: ', '89.11', 'V root: ', '87.50', '   Test root: ', '86.67', '   Train: ', '97.37', '   Train root: ', '98.44')
+('Best valid: ', '91.45', ' Test all: ', '89.35', 'Test root: ', '88.33', '   time: ', 685.1132519245148)
+
+
+model LSTM_1_2 :  h_dim =  50  learning rate =  0.01  batch_size = 1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '86.95', '   Test all: ', '84.80', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '85.64', '   Train root: ', '91.67')
+('epoch: ', 2, 'V all: ', '87.56', '   Test all: ', '86.42', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '86.73', '   Train root: ', '91.77')
+('epoch: ', 3, 'V all: ', '88.02', '   Test all: ', '86.75', 'V root: ', '90.00', '   Test root: ', '93.33', '   Train: ', '87.56', '   Train root: ', '91.46')
+('epoch: ', 4, 'V all: ', '88.47', '   Test all: ', '86.42', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '88.14', '   Train root: ', '93.33')
+('epoch: ', 5, 'V all: ', '88.17', '   Test all: ', '86.59', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '88.69', '   Train root: ', '92.40')
+('epoch: ', 6, 'V all: ', '88.70', '   Test all: ', '87.56', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '89.50', '   Train root: ', '92.50')
+('epoch: ', 7, 'V all: ', '89.47', '   Test all: ', '87.40', 'V root: ', '90.83', '   Test root: ', '91.67', '   Train: ', '89.95', '   Train root: ', '93.85')
+('epoch: ', 8, 'V all: ', '89.08', '   Test all: ', '88.05', 'V root: ', '85.83', '   Test root: ', '92.50', '   Train: ', '90.64', '   Train root: ', '93.02')
+('epoch: ', 9, 'V all: ', '89.31', '   Test all: ', '88.46', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '91.12', '   Train root: ', '93.96')
+('epoch: ', 10, 'V all: ', '89.39', '   Test all: ', '88.54', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '91.63', '   Train root: ', '94.38')
+('epoch: ', 11, 'V all: ', '89.85', '   Test all: ', '89.27', 'V root: ', '85.00', '   Test root: ', '92.50', '   Train: ', '92.20', '   Train root: ', '95.31')
+('epoch: ', 12, 'V all: ', '89.62', '   Test all: ', '89.27', 'V root: ', '85.83', '   Test root: ', '90.83', '   Train: ', '92.47', '   Train root: ', '95.21')
+('epoch: ', 13, 'V all: ', '89.69', '   Test all: ', '89.59', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '92.99', '   Train root: ', '95.94')
+('epoch: ', 14, 'V all: ', '89.92', '   Test all: ', '89.76', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '93.02', '   Train root: ', '97.08')
+('epoch: ', 15, 'V all: ', '90.31', '   Test all: ', '89.92', 'V root: ', '86.67', '   Test root: ', '95.00', '   Train: ', '93.67', '   Train root: ', '95.83')
+('epoch: ', 16, 'V all: ', '89.85', '   Test all: ', '90.08', 'V root: ', '83.33', '   Test root: ', '93.33', '   Train: ', '94.22', '   Train root: ', '96.88')
+('epoch: ', 17, 'V all: ', '90.38', '   Test all: ', '89.92', 'V root: ', '84.17', '   Test root: ', '90.83', '   Train: ', '94.62', '   Train root: ', '96.98')
+('epoch: ', 18, 'V all: ', '90.08', '   Test all: ', '90.49', 'V root: ', '82.50', '   Test root: ', '91.67', '   Train: ', '94.78', '   Train root: ', '97.08')
+('epoch: ', 19, 'V all: ', '90.31', '   Test all: ', '90.08', 'V root: ', '81.67', '   Test root: ', '91.67', '   Train: ', '95.34', '   Train root: ', '97.50')
+('epoch: ', 20, 'V all: ', '90.31', '   Test all: ', '90.16', 'V root: ', '81.67', '   Test root: ', '90.83', '   Train: ', '95.81', '   Train root: ', '96.56')
+('epoch: ', 21, 'V all: ', '90.53', '   Test all: ', '89.51', 'V root: ', '80.83', '   Test root: ', '90.00', '   Train: ', '96.05', '   Train root: ', '97.60')
+('epoch: ', 22, 'V all: ', '90.23', '   Test all: ', '89.51', 'V root: ', '80.83', '   Test root: ', '90.83', '   Train: ', '96.11', '   Train root: ', '97.71')
+('epoch: ', 23, 'V all: ', '90.53', '   Test all: ', '89.67', 'V root: ', '81.67', '   Test root: ', '90.83', '   Train: ', '96.60', '   Train root: ', '98.02')
+('epoch: ', 24, 'V all: ', '90.92', '   Test all: ', '89.84', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '96.38', '   Train root: ', '98.75')
+('epoch: ', 25, 'V all: ', '91.15', '   Test all: ', '89.92', 'V root: ', '84.17', '   Test root: ', '90.83', '   Train: ', '96.78', '   Train root: ', '98.85')
+('epoch: ', 26, 'V all: ', '90.92', '   Test all: ', '89.84', 'V root: ', '82.50', '   Test root: ', '91.67', '   Train: ', '97.09', '   Train root: ', '98.33')
+('epoch: ', 27, 'V all: ', '90.76', '   Test all: ', '89.84', 'V root: ', '82.50', '   Test root: ', '90.83', '   Train: ', '97.14', '   Train root: ', '98.54')
+('epoch: ', 28, 'V all: ', '90.23', '   Test all: ', '89.43', 'V root: ', '80.83', '   Test root: ', '89.17', '   Train: ', '97.38', '   Train root: ', '98.23')
+('epoch: ', 29, 'V all: ', '90.92', '   Test all: ', '89.59', 'V root: ', '83.33', '   Test root: ', '90.83', '   Train: ', '97.46', '   Train root: ', '98.44')
+('epoch: ', 30, 'V all: ', '90.92', '   Test all: ', '90.00', 'V root: ', '81.67', '   Test root: ', '90.83', '   Train: ', '97.56', '   Train root: ', '98.75')
+('Best valid: ', '91.15', ' Test all: ', '89.92', 'Test root: ', '90.83', '   time: ', 662.4402878284454)
+
+
+model LSTM_1_2 :  h_dim =  75  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '87.18', '   Test all: ', '84.88', 'V root: ', '90.83', '   Test root: ', '92.50', '   Train: ', '85.48', '   Train root: ', '91.35')
+('epoch: ', 2, 'V all: ', '87.79', '   Test all: ', '85.69', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '86.39', '   Train root: ', '91.04')
+('epoch: ', 3, 'V all: ', '88.40', '   Test all: ', '86.10', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '87.05', '   Train root: ', '92.81')
+('epoch: ', 4, 'V all: ', '87.63', '   Test all: ', '86.67', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '88.12', '   Train root: ', '93.23')
+('epoch: ', 5, 'V all: ', '88.17', '   Test all: ', '87.24', 'V root: ', '86.67', '   Test root: ', '90.00', '   Train: ', '88.80', '   Train root: ', '90.94')
+('epoch: ', 6, 'V all: ', '88.55', '   Test all: ', '87.56', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '89.39', '   Train root: ', '92.92')
+('epoch: ', 7, 'V all: ', '88.85', '   Test all: ', '88.05', 'V root: ', '90.00', '   Test root: ', '93.33', '   Train: ', '89.93', '   Train root: ', '92.92')
+('epoch: ', 8, 'V all: ', '89.01', '   Test all: ', '88.54', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '90.64', '   Train root: ', '93.96')
+('epoch: ', 9, 'V all: ', '89.08', '   Test all: ', '87.97', 'V root: ', '84.17', '   Test root: ', '90.00', '   Train: ', '91.29', '   Train root: ', '92.50')
+('epoch: ', 10, 'V all: ', '89.62', '   Test all: ', '88.70', 'V root: ', '90.00', '   Test root: ', '91.67', '   Train: ', '91.86', '   Train root: ', '94.58')
+('epoch: ', 11, 'V all: ', '89.62', '   Test all: ', '88.86', 'V root: ', '90.00', '   Test root: ', '91.67', '   Train: ', '92.22', '   Train root: ', '95.42')
+('epoch: ', 12, 'V all: ', '90.31', '   Test all: ', '88.78', 'V root: ', '90.83', '   Test root: ', '91.67', '   Train: ', '92.47', '   Train root: ', '97.08')
+('epoch: ', 13, 'V all: ', '89.92', '   Test all: ', '88.94', 'V root: ', '90.83', '   Test root: ', '91.67', '   Train: ', '93.21', '   Train root: ', '96.15')
+('epoch: ', 14, 'V all: ', '89.92', '   Test all: ', '89.11', 'V root: ', '91.67', '   Test root: ', '90.83', '   Train: ', '93.64', '   Train root: ', '96.46')
+('epoch: ', 15, 'V all: ', '90.69', '   Test all: ', '88.94', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '93.48', '   Train root: ', '98.23')
+('epoch: ', 16, 'V all: ', '90.15', '   Test all: ', '88.94', 'V root: ', '88.33', '   Test root: ', '86.67', '   Train: ', '94.33', '   Train root: ', '96.46')
+('epoch: ', 17, 'V all: ', '90.08', '   Test all: ', '89.27', 'V root: ', '87.50', '   Test root: ', '87.50', '   Train: ', '94.95', '   Train root: ', '95.94')
+('epoch: ', 18, 'V all: ', '90.92', '   Test all: ', '88.78', 'V root: ', '90.00', '   Test root: ', '90.83', '   Train: ', '94.87', '   Train root: ', '98.33')
+('epoch: ', 19, 'V all: ', '90.99', '   Test all: ', '89.19', 'V root: ', '90.00', '   Test root: ', '92.50', '   Train: ', '95.00', '   Train root: ', '98.54')
+('epoch: ', 20, 'V all: ', '90.99', '   Test all: ', '89.02', 'V root: ', '90.00', '   Test root: ', '88.33', '   Train: ', '95.63', '   Train root: ', '98.44')
+('epoch: ', 21, 'V all: ', '91.15', '   Test all: ', '88.86', 'V root: ', '90.00', '   Test root: ', '86.67', '   Train: ', '96.07', '   Train root: ', '98.02')
+('epoch: ', 22, 'V all: ', '90.99', '   Test all: ', '88.86', 'V root: ', '89.17', '   Test root: ', '86.67', '   Train: ', '96.28', '   Train root: ', '98.44')
+('epoch: ', 23, 'V all: ', '91.30', '   Test all: ', '89.19', 'V root: ', '89.17', '   Test root: ', '88.33', '   Train: ', '96.50', '   Train root: ', '98.85')
+('epoch: ', 24, 'V all: ', '90.69', '   Test all: ', '88.78', 'V root: ', '88.33', '   Test root: ', '86.67', '   Train: ', '96.86', '   Train root: ', '98.75')
+('epoch: ', 25, 'V all: ', '91.30', '   Test all: ', '89.11', 'V root: ', '88.33', '   Test root: ', '86.67', '   Train: ', '97.03', '   Train root: ', '98.96')
+('epoch: ', 26, 'V all: ', '91.07', '   Test all: ', '89.11', 'V root: ', '89.17', '   Test root: ', '87.50', '   Train: ', '97.19', '   Train root: ', '99.06')
+('epoch: ', 27, 'V all: ', '90.99', '   Test all: ', '89.11', 'V root: ', '89.17', '   Test root: ', '87.50', '   Train: ', '97.28', '   Train root: ', '99.27')
+('epoch: ', 28, 'V all: ', '91.22', '   Test all: ', '88.86', 'V root: ', '87.50', '   Test root: ', '86.67', '   Train: ', '97.43', '   Train root: ', '99.27')
+('Best valid: ', '91.30', ' Test all: ', '89.19', 'Test root: ', '88.33', '   time: ', 731.9850740432739)
+
+
+model LSTM_1_2 :  h_dim =  50  learning rate =  0.01  batch_size =  25
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '94.87')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '94.87')
+('epoch: ', 2, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '94.87')
+('epoch: ', 3, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '94.87')
+('epoch: ', 4, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '94.87')
+('epoch: ', 5, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '94.87')
+('Best valid: ', '82.98', ' Test all: ', '81.87', 'Test root: ', '95.00', '   time: ', 108.65796899795532)
+
+
+model LSTM_1_2 :  h_dim =  50  learning rate =  0.01  batch_size =  5
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '91.15')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '91.15')
+('epoch: ', 2, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '91.15')
+('epoch: ', 3, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '91.15')
+('epoch: ', 4, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '91.15')
+('epoch: ', 5, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '91.15')
+('Best valid: ', '82.98', ' Test all: ', '81.87', 'Test root: ', '95.00', '   time: ', 124.40897393226624)
+
+
+model LSTM_1_2 :  h_dim =  50  learning rate =  0.1  batch_size =  5
+
+('epoch: ', 0, 'V all: ', '86.64', '   Test all: ', '84.63', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '78.96', '   Train root: ', '86.46')
+('epoch: ', 1, 'V all: ', '88.09', '   Test all: ', '86.50', 'V root: ', '91.67', '   Test root: ', '94.17', '   Train: ', '78.10', '   Train root: ', '84.38')
+('epoch: ', 2, 'V all: ', '88.17', '   Test all: ', '86.67', 'V root: ', '82.50', '   Test root: ', '90.83', '   Train: ', '76.20', '   Train root: ', '81.25')
+('epoch: ', 3, 'V all: ', '88.24', '   Test all: ', '86.83', 'V root: ', '81.67', '   Test root: ', '88.33', '   Train: ', '76.51', '   Train root: ', '81.25')
+('epoch: ', 4, 'V all: ', '89.62', '   Test all: ', '87.56', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '77.39', '   Train root: ', '83.33')
+('epoch: ', 5, 'V all: ', '90.23', '   Test all: ', '88.29', 'V root: ', '85.00', '   Test root: ', '93.33', '   Train: ', '77.17', '   Train root: ', '81.77')
+('epoch: ', 6, 'V all: ', '89.01', '   Test all: ', '89.19', 'V root: ', '80.83', '   Test root: ', '90.00', '   Train: ', '76.41', '   Train root: ', '80.21')
+('epoch: ', 7, 'V all: ', '89.92', '   Test all: ', '89.84', 'V root: ', '84.17', '   Test root: ', '93.33', '   Train: ', '76.60', '   Train root: ', '79.69')
+('epoch: ', 8, 'V all: ', '90.15', '   Test all: ', '89.02', 'V root: ', '75.83', '   Test root: ', '86.67', '   Train: ', '75.92', '   Train root: ', '76.56')
+('epoch: ', 9, 'V all: ', '89.92', '   Test all: ', '89.67', 'V root: ', '78.33', '   Test root: ', '90.00', '   Train: ', '75.98', '   Train root: ', '76.04')
+('epoch: ', 10, 'V all: ', '90.84', '   Test all: ', '89.35', 'V root: ', '81.67', '   Test root: ', '86.67', '   Train: ', '75.82', '   Train root: ', '76.04')
+('epoch: ', 11, 'V all: ', '90.15', '   Test all: ', '89.35', 'V root: ', '81.67', '   Test root: ', '86.67', '   Train: ', '75.62', '   Train root: ', '76.04')
+('epoch: ', 12, 'V all: ', '90.76', '   Test all: ', '89.92', 'V root: ', '84.17', '   Test root: ', '89.17', '   Train: ', '75.93', '   Train root: ', '76.04')
+('epoch: ', 13, 'V all: ', '90.08', '   Test all: ', '88.86', 'V root: ', '78.33', '   Test root: ', '84.17', '   Train: ', '75.87', '   Train root: ', '75.00')
+('epoch: ', 14, 'V all: ', '90.99', '   Test all: ', '89.67', 'V root: ', '85.00', '   Test root: ', '90.83', '   Train: ', '76.00', '   Train root: ', '75.00')
+('epoch: ', 15, 'V all: ', '90.84', '   Test all: ', '89.51', 'V root: ', '81.67', '   Test root: ', '88.33', '   Train: ', '75.95', '   Train root: ', '75.52')
+('epoch: ', 16, 'V all: ', '90.00', '   Test all: ', '89.35', 'V root: ', '80.00', '   Test root: ', '85.83', '   Train: ', '75.80', '   Train root: ', '75.52')
+('epoch: ', 17, 'V all: ', '90.31', '   Test all: ', '89.59', 'V root: ', '82.50', '   Test root: ', '86.67', '   Train: ', '75.72', '   Train root: ', '75.00')
+('epoch: ', 18, 'V all: ', '90.38', '   Test all: ', '89.84', 'V root: ', '81.67', '   Test root: ', '88.33', '   Train: ', '75.62', '   Train root: ', '75.00')
+('epoch: ', 19, 'V all: ', '90.69', '   Test all: ', '90.16', 'V root: ', '83.33', '   Test root: ', '90.00', '   Train: ', '75.79', '   Train root: ', '75.00')
+('Best valid: ', '90.99', ' Test all: ', '89.67', 'Test root: ', '90.83', '   time: ', 376.9944369792938)
+
+model LSTM_1_2 :  h_dim =  50  learning rate =  0.1  batch_size =  25
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '94.87')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '94.87')
+('epoch: ', 2, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '94.87')
+('epoch: ', 3, 'V all: ', '84.89', '   Test all: ', '83.90', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '79.80', '   Train root: ', '89.74')
+('epoch: ', 4, 'V all: ', '86.56', '   Test all: ', '84.88', 'V root: ', '90.00', '   Test root: ', '92.50', '   Train: ', '77.23', '   Train root: ', '89.74')
+('epoch: ', 5, 'V all: ', '86.87', '   Test all: ', '85.37', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '76.85', '   Train root: ', '89.74')
+('epoch: ', 6, 'V all: ', '87.18', '   Test all: ', '85.69', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '76.66', '   Train root: ', '89.74')
+('epoch: ', 7, 'V all: ', '87.48', '   Test all: ', '86.42', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '76.26', '   Train root: ', '87.18')
+('epoch: ', 8, 'V all: ', '87.33', '   Test all: ', '86.42', 'V root: ', '85.83', '   Test root: ', '91.67', '   Train: ', '75.60', '   Train root: ', '87.18')
+('epoch: ', 9, 'V all: ', '87.79', '   Test all: ', '86.75', 'V root: ', '85.83', '   Test root: ', '91.67', '   Train: ', '75.16', '   Train root: ', '84.62')
+('epoch: ', 10, 'V all: ', '88.02', '   Test all: ', '86.67', 'V root: ', '87.50', '   Test root: ', '90.83', '   Train: ', '74.54', '   Train root: ', '84.62')
+('epoch: ', 11, 'V all: ', '88.40', '   Test all: ', '86.75', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '74.51', '   Train root: ', '84.62')
+('epoch: ', 12, 'V all: ', '88.70', '   Test all: ', '86.83', 'V root: ', '88.33', '   Test root: ', '91.67', '   Train: ', '74.32', '   Train root: ', '84.62')
+('epoch: ', 13, 'V all: ', '88.55', '   Test all: ', '87.15', 'V root: ', '84.17', '   Test root: ', '90.00', '   Train: ', '73.90', '   Train root: ', '84.62')
+('epoch: ', 14, 'V all: ', '88.70', '   Test all: ', '87.07', 'V root: ', '82.50', '   Test root: ', '92.50', '   Train: ', '74.20', '   Train root: ', '84.62')
+('epoch: ', 15, 'V all: ', '88.70', '   Test all: ', '86.99', 'V root: ', '83.33', '   Test root: ', '90.83', '   Train: ', '74.35', '   Train root: ', '84.62')
+('epoch: ', 16, 'V all: ', '89.01', '   Test all: ', '87.15', 'V root: ', '81.67', '   Test root: ', '91.67', '   Train: ', '73.99', '   Train root: ', '84.62')
+('epoch: ', 17, 'V all: ', '88.93', '   Test all: ', '87.32', 'V root: ', '83.33', '   Test root: ', '90.83', '   Train: ', '73.96', '   Train root: ', '84.62')
+('epoch: ', 18, 'V all: ', '88.78', '   Test all: ', '87.40', 'V root: ', '84.17', '   Test root: ', '89.17', '   Train: ', '73.68', '   Train root: ', '84.62')
+('epoch: ', 19, 'V all: ', '89.08', '   Test all: ', '87.80', 'V root: ', '85.83', '   Test root: ', '91.67', '   Train: ', '73.76', '   Train root: ', '84.62')
+('epoch: ', 20, 'V all: ', '89.16', '   Test all: ', '87.64', 'V root: ', '81.67', '   Test root: ', '90.83', '   Train: ', '73.54', '   Train root: ', '84.62')
+('epoch: ', 21, 'V all: ', '89.16', '   Test all: ', '87.56', 'V root: ', '83.33', '   Test root: ', '90.83', '   Train: ', '73.57', '   Train root: ', '84.62')
+('epoch: ', 22, 'V all: ', '89.16', '   Test all: ', '88.13', 'V root: ', '81.67', '   Test root: ', '90.00', '   Train: ', '73.10', '   Train root: ', '84.62')
+('epoch: ', 23, 'V all: ', '89.24', '   Test all: ', '87.89', 'V root: ', '81.67', '   Test root: ', '90.00', '   Train: ', '73.25', '   Train root: ', '84.62')
+('epoch: ', 24, 'V all: ', '89.31', '   Test all: ', '88.29', 'V root: ', '79.17', '   Test root: ', '87.50', '   Train: ', '72.73', '   Train root: ', '84.62')
+('epoch: ', 25, 'V all: ', '89.31', '   Test all: ', '88.54', 'V root: ', '80.83', '   Test root: ', '90.00', '   Train: ', '73.22', '   Train root: ', '84.62')
+('epoch: ', 26, 'V all: ', '89.39', '   Test all: ', '88.54', 'V root: ', '81.67', '   Test root: ', '86.67', '   Train: ', '72.72', '   Train root: ', '84.62')
+('epoch: ', 27, 'V all: ', '89.54', '   Test all: ', '88.78', 'V root: ', '81.67', '   Test root: ', '86.67', '   Train: ', '72.58', '   Train root: ', '82.05')
+('epoch: ', 28, 'V all: ', '89.62', '   Test all: ', '89.11', 'V root: ', '82.50', '   Test root: ', '89.17', '   Train: ', '73.05', '   Train root: ', '84.62')
+('epoch: ', 29, 'V all: ', '89.62', '   Test all: ', '89.27', 'V root: ', '82.50', '   Test root: ', '89.17', '   Train: ', '72.78', '   Train root: ', '84.62')
+('epoch: ', 30, 'V all: ', '89.69', '   Test all: ', '88.78', 'V root: ', '81.67', '   Test root: ', '88.33', '   Train: ', '72.73', '   Train root: ', '84.62')
+('epoch: ', 31, 'V all: ', '89.62', '   Test all: ', '88.94', 'V root: ', '80.83', '   Test root: ', '88.33', '   Train: ', '72.16', '   Train root: ', '84.62')
+('epoch: ', 32, 'V all: ', '89.92', '   Test all: ', '88.78', 'V root: ', '80.00', '   Test root: ', '85.83', '   Train: ', '71.82', '   Train root: ', '82.05')
+('epoch: ', 33, 'V all: ', '89.62', '   Test all: ', '88.86', 'V root: ', '78.33', '   Test root: ', '85.00', '   Train: ', '71.28', '   Train root: ', '82.05')
+('epoch: ', 34, 'V all: ', '89.92', '   Test all: ', '89.11', 'V root: ', '80.83', '   Test root: ', '86.67', '   Train: ', '71.72', '   Train root: ', '82.05')
+('epoch: ', 35, 'V all: ', '90.08', '   Test all: ', '89.27', 'V root: ', '81.67', '   Test root: ', '89.17', '   Train: ', '71.82', '   Train root: ', '82.05')
+('epoch: ', 36, 'V all: ', '89.92', '   Test all: ', '89.02', 'V root: ', '80.83', '   Test root: ', '88.33', '   Train: ', '70.76', '   Train root: ', '82.05')
+('epoch: ', 37, 'V all: ', '89.62', '   Test all: ', '89.27', 'V root: ', '83.33', '   Test root: ', '88.33', '   Train: ', '70.87', '   Train root: ', '82.05')
+('epoch: ', 38, 'V all: ', '89.77', '   Test all: ', '89.19', 'V root: ', '80.00', '   Test root: ', '86.67', '   Train: ', '70.89', '   Train root: ', '82.05')
+('epoch: ', 39, 'V all: ', '89.92', '   Test all: ', '89.27', 'V root: ', '82.50', '   Test root: ', '87.50', '   Train: ', '70.67', '   Train root: ', '82.05')
+('epoch: ', 40, 'V all: ', '89.85', '   Test all: ', '89.51', 'V root: ', '81.67', '   Test root: ', '87.50', '   Train: ', '71.06', '   Train root: ', '82.05')
+('Best valid: ', '90.08', ' Test all: ', '89.27', 'Test root: ', '89.17', '   time: ', 787.5470111370087)
+
+model LSTM_1_2 :  h_dim =  100  learning rate =  0.1  batch_size =  25
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '94.87')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '94.87')
+('epoch: ', 2, 'V all: ', '84.12', '   Test all: ', '82.52', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '81.22', '   Train root: ', '92.31')
+('epoch: ', 3, 'V all: ', '85.50', '   Test all: ', '84.63', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '78.36', '   Train root: ', '89.74')
+('epoch: ', 4, 'V all: ', '86.49', '   Test all: ', '85.45', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '76.58', '   Train root: ', '89.74')
+('epoch: ', 5, 'V all: ', '86.64', '   Test all: ', '85.61', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '76.71', '   Train root: ', '89.74')
+('epoch: ', 6, 'V all: ', '87.33', '   Test all: ', '85.93', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '76.48', '   Train root: ', '89.74')
+('epoch: ', 7, 'V all: ', '87.79', '   Test all: ', '86.18', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '75.86', '   Train root: ', '87.18')
+('epoch: ', 8, 'V all: ', '87.71', '   Test all: ', '86.26', 'V root: ', '85.00', '   Test root: ', '91.67', '   Train: ', '76.02', '   Train root: ', '87.18')
+('epoch: ', 9, 'V all: ', '87.94', '   Test all: ', '86.02', 'V root: ', '84.17', '   Test root: ', '90.83', '   Train: ', '75.59', '   Train root: ', '87.18')
+('epoch: ', 10, 'V all: ', '87.94', '   Test all: ', '86.10', 'V root: ', '84.17', '   Test root: ', '90.83', '   Train: ', '75.09', '   Train root: ', '82.05')
+('epoch: ', 11, 'V all: ', '88.24', '   Test all: ', '86.99', 'V root: ', '85.83', '   Test root: ', '92.50', '   Train: ', '74.79', '   Train root: ', '84.62')
+('epoch: ', 12, 'V all: ', '88.40', '   Test all: ', '86.75', 'V root: ', '85.00', '   Test root: ', '92.50', '   Train: ', '75.10', '   Train root: ', '82.05')
+('epoch: ', 13, 'V all: ', '88.32', '   Test all: ', '87.24', 'V root: ', '82.50', '   Test root: ', '92.50', '   Train: ', '74.60', '   Train root: ', '82.05')
+('epoch: ', 14, 'V all: ', '88.55', '   Test all: ', '87.32', 'V root: ', '84.17', '   Test root: ', '92.50', '   Train: ', '74.21', '   Train root: ', '82.05')
+('epoch: ', 15, 'V all: ', '88.93', '   Test all: ', '87.24', 'V root: ', '85.00', '   Test root: ', '91.67', '   Train: ', '74.29', '   Train root: ', '82.05')
+('epoch: ', 16, 'V all: ', '89.01', '   Test all: ', '87.64', 'V root: ', '85.00', '   Test root: ', '91.67', '   Train: ', '74.11', '   Train root: ', '82.05')
+('epoch: ', 17, 'V all: ', '88.93', '   Test all: ', '87.80', 'V root: ', '85.00', '   Test root: ', '90.83', '   Train: ', '74.16', '   Train root: ', '82.05')
+('epoch: ', 18, 'V all: ', '88.85', '   Test all: ', '87.72', 'V root: ', '85.83', '   Test root: ', '90.83', '   Train: ', '74.28', '   Train root: ', '87.18')
+('epoch: ', 19, 'V all: ', '89.24', '   Test all: ', '88.21', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '74.61', '   Train root: ', '87.18')
+('epoch: ', 20, 'V all: ', '89.39', '   Test all: ', '87.89', 'V root: ', '85.83', '   Test root: ', '90.00', '   Train: ', '74.40', '   Train root: ', '87.18')
+('epoch: ', 21, 'V all: ', '89.24', '   Test all: ', '87.72', 'V root: ', '85.83', '   Test root: ', '89.17', '   Train: ', '74.26', '   Train root: ', '87.18')
+('epoch: ', 22, 'V all: ', '88.93', '   Test all: ', '87.80', 'V root: ', '85.00', '   Test root: ', '90.00', '   Train: ', '73.76', '   Train root: ', '87.18')
+('epoch: ', 23, 'V all: ', '89.54', '   Test all: ', '87.89', 'V root: ', '85.00', '   Test root: ', '90.83', '   Train: ', '73.96', '   Train root: ', '87.18')
+('epoch: ', 24, 'V all: ', '89.54', '   Test all: ', '88.37', 'V root: ', '84.17', '   Test root: ', '86.67', '   Train: ', '73.18', '   Train root: ', '84.62')
+('epoch: ', 25, 'V all: ', '89.31', '   Test all: ', '88.54', 'V root: ', '85.00', '   Test root: ', '90.00', '   Train: ', '73.24', '   Train root: ', '87.18')
+('epoch: ', 26, 'V all: ', '89.39', '   Test all: ', '88.78', 'V root: ', '85.00', '   Test root: ', '89.17', '   Train: ', '73.21', '   Train root: ', '87.18')
+('epoch: ', 27, 'V all: ', '89.54', '   Test all: ', '88.54', 'V root: ', '85.00', '   Test root: ', '87.50', '   Train: ', '73.10', '   Train root: ', '87.18')
+('epoch: ', 28, 'V all: ', '90.00', '   Test all: ', '88.54', 'V root: ', '85.83', '   Test root: ', '89.17', '   Train: ', '73.01', '   Train root: ', '84.62')
+('epoch: ', 29, 'V all: ', '89.54', '   Test all: ', '88.78', 'V root: ', '85.83', '   Test root: ', '88.33', '   Train: ', '72.47', '   Train root: ', '84.62')
+('epoch: ', 30, 'V all: ', '89.77', '   Test all: ', '88.86', 'V root: ', '86.67', '   Test root: ', '89.17', '   Train: ', '72.69', '   Train root: ', '84.62')
+('epoch: ', 31, 'V all: ', '89.77', '   Test all: ', '88.46', 'V root: ', '85.00', '   Test root: ', '87.50', '   Train: ', '72.28', '   Train root: ', '84.62')
+('epoch: ', 32, 'V all: ', '89.77', '   Test all: ', '88.86', 'V root: ', '85.00', '   Test root: ', '87.50', '   Train: ', '71.94', '   Train root: ', '84.62')
+('epoch: ', 33, 'V all: ', '89.39', '   Test all: ', '88.62', 'V root: ', '82.50', '   Test root: ', '86.67', '   Train: ', '71.70', '   Train root: ', '84.62')
+('Best valid: ', '90.00', ' Test all: ', '88.54', 'Test root: ', '89.17', '   time: ', 695.4865169525146)
+
+model LSTM_1_2 :  h_dim =  100  learning rate =  0.1  batch_size =  5
+
+('epoch: ', 0, 'V all: ', '87.02', '   Test all: ', '85.20', 'V root: ', '90.00', '   Test root: ', '93.33', '   Train: ', '78.48', '   Train root: ', '84.38')
+('epoch: ', 1, 'V all: ', '87.79', '   Test all: ', '86.34', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '77.88', '   Train root: ', '84.38')
+('epoch: ', 2, 'V all: ', '88.24', '   Test all: ', '87.15', 'V root: ', '83.33', '   Test root: ', '90.83', '   Train: ', '76.13', '   Train root: ', '81.25')
+('epoch: ', 3, 'V all: ', '88.40', '   Test all: ', '88.05', 'V root: ', '82.50', '   Test root: ', '88.33', '   Train: ', '76.38', '   Train root: ', '81.25')
+('epoch: ', 4, 'V all: ', '88.78', '   Test all: ', '88.05', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '77.41', '   Train root: ', '83.33')
+('epoch: ', 5, 'V all: ', '89.39', '   Test all: ', '88.62', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '77.64', '   Train root: ', '82.81')
+('epoch: ', 6, 'V all: ', '88.78', '   Test all: ', '89.67', 'V root: ', '85.83', '   Test root: ', '89.17', '   Train: ', '76.39', '   Train root: ', '80.73')
+('epoch: ', 7, 'V all: ', '89.92', '   Test all: ', '89.59', 'V root: ', '88.33', '   Test root: ', '91.67', '   Train: ', '77.05', '   Train root: ', '79.69')
+('epoch: ', 8, 'V all: ', '89.16', '   Test all: ', '88.62', 'V root: ', '77.50', '   Test root: ', '82.50', '   Train: ', '76.11', '   Train root: ', '76.56')
+('epoch: ', 9, 'V all: ', '89.92', '   Test all: ', '89.19', 'V root: ', '83.33', '   Test root: ', '89.17', '   Train: ', '76.08', '   Train root: ', '76.56')
+('epoch: ', 10, 'V all: ', '89.54', '   Test all: ', '89.35', 'V root: ', '82.50', '   Test root: ', '88.33', '   Train: ', '75.86', '   Train root: ', '76.56')
+('epoch: ', 11, 'V all: ', '90.38', '   Test all: ', '88.78', 'V root: ', '84.17', '   Test root: ', '87.50', '   Train: ', '76.10', '   Train root: ', '77.08')
+('epoch: ', 12, 'V all: ', '90.69', '   Test all: ', '89.51', 'V root: ', '85.83', '   Test root: ', '90.83', '   Train: ', '76.12', '   Train root: ', '76.56')
+('epoch: ', 13, 'V all: ', '90.15', '   Test all: ', '88.54', 'V root: ', '81.67', '   Test root: ', '84.17', '   Train: ', '75.88', '   Train root: ', '75.00')
+('epoch: ', 14, 'V all: ', '91.07', '   Test all: ', '89.59', 'V root: ', '85.00', '   Test root: ', '87.50', '   Train: ', '76.28', '   Train root: ', '77.08')
+('epoch: ', 15, 'V all: ', '90.84', '   Test all: ', '89.43', 'V root: ', '82.50', '   Test root: ', '89.17', '   Train: ', '76.31', '   Train root: ', '76.04')
+('epoch: ', 16, 'V all: ', '90.76', '   Test all: ', '88.94', 'V root: ', '84.17', '   Test root: ', '85.00', '   Train: ', '75.87', '   Train root: ', '76.04')
+('epoch: ', 17, 'V all: ', '91.07', '   Test all: ', '89.59', 'V root: ', '85.83', '   Test root: ', '89.17', '   Train: ', '76.02', '   Train root: ', '75.00')
+('epoch: ', 18, 'V all: ', '90.99', '   Test all: ', '89.27', 'V root: ', '85.83', '   Test root: ', '88.33', '   Train: ', '75.77', '   Train root: ', '74.48')
+('epoch: ', 19, 'V all: ', '91.30', '   Test all: ', '89.84', 'V root: ', '85.00', '   Test root: ', '90.00', '   Train: ', '75.89', '   Train root: ', '76.56')
+('epoch: ', 20, 'V all: ', '91.22', '   Test all: ', '88.94', 'V root: ', '85.00', '   Test root: ', '87.50', '   Train: ', '75.94', '   Train root: ', '75.52')
+('epoch: ', 21, 'V all: ', '91.45', '   Test all: ', '89.02', 'V root: ', '85.83', '   Test root: ', '87.50', '   Train: ', '75.74', '   Train root: ', '75.00')
+('epoch: ', 22, 'V all: ', '91.37', '   Test all: ', '89.59', 'V root: ', '85.83', '   Test root: ', '90.83', '   Train: ', '75.89', '   Train root: ', '75.00')
+('epoch: ', 23, 'V all: ', '90.84', '   Test all: ', '88.78', 'V root: ', '82.50', '   Test root: ', '86.67', '   Train: ', '75.39', '   Train root: ', '74.48')
+('epoch: ', 24, 'V all: ', '90.99', '   Test all: ', '88.78', 'V root: ', '82.50', '   Test root: ', '85.00', '   Train: ', '75.72', '   Train root: ', '74.48')
+('epoch: ', 25, 'V all: ', '91.60', '   Test all: ', '89.51', 'V root: ', '86.67', '   Test root: ', '88.33', '   Train: ', '75.71', '   Train root: ', '75.00')
+('epoch: ', 26, 'V all: ', '90.99', '   Test all: ', '88.86', 'V root: ', '82.50', '   Test root: ', '86.67', '   Train: ', '75.69', '   Train root: ', '73.44')
+('epoch: ', 27, 'V all: ', '91.68', '   Test all: ', '89.67', 'V root: ', '86.67', '   Test root: ', '88.33', '   Train: ', '75.64', '   Train root: ', '73.96')
+('epoch: ', 28, 'V all: ', '91.15', '   Test all: ', '89.27', 'V root: ', '84.17', '   Test root: ', '88.33', '   Train: ', '75.75', '   Train root: ', '74.48')
+('epoch: ', 29, 'V all: ', '91.37', '   Test all: ', '89.11', 'V root: ', '85.83', '   Test root: ', '87.50', '   Train: ', '75.72', '   Train root: ', '74.48')
+('epoch: ', 30, 'V all: ', '91.45', '   Test all: ', '89.43', 'V root: ', '85.00', '   Test root: ', '90.00', '   Train: ', '75.68', '   Train root: ', '74.48')
+('epoch: ', 31, 'V all: ', '91.60', '   Test all: ', '89.19', 'V root: ', '86.67', '   Test root: ', '89.17', '   Train: ', '75.68', '   Train root: ', '74.48')
+('epoch: ', 32, 'V all: ', '91.37', '   Test all: ', '88.86', 'V root: ', '84.17', '   Test root: ', '86.67', '   Train: ', '75.59', '   Train root: ', '74.48')
+('Best valid: ', '91.68', ' Test all: ', '89.67', 'Test root: ', '88.33', '   time: ', 684.1967821121216)
+
+
+model LSTM_1_3 :  h_dim =  50  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '84.35', '   Test all: ', '82.85', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '82.84', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '86.18', '   Test all: ', '84.88', 'V root: ', '93.33', '   Test root: ', '95.83', '   Train: ', '84.73', '   Train root: ', '94.06')
+('epoch: ', 4, 'V all: ', '87.25', '   Test all: ', '85.37', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '85.79', '   Train root: ', '92.92')
+('epoch: ', 5, 'V all: ', '87.40', '   Test all: ', '86.02', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '86.42', '   Train root: ', '91.88')
+('epoch: ', 6, 'V all: ', '87.94', '   Test all: ', '85.85', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '86.63', '   Train root: ', '93.23')
+('epoch: ', 7, 'V all: ', '88.02', '   Test all: ', '86.02', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '87.18', '   Train root: ', '93.02')
+('epoch: ', 8, 'V all: ', '88.32', '   Test all: ', '86.59', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '87.71', '   Train root: ', '93.12')
+('epoch: ', 9, 'V all: ', '88.47', '   Test all: ', '86.83', 'V root: ', '90.00', '   Test root: ', '93.33', '   Train: ', '88.22', '   Train root: ', '92.29')
+('epoch: ', 10, 'V all: ', '88.70', '   Test all: ', '86.91', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '88.37', '   Train root: ', '93.44')
+('epoch: ', 11, 'V all: ', '88.93', '   Test all: ', '87.07', 'V root: ', '94.17', '   Test root: ', '96.67', '   Train: ', '88.67', '   Train root: ', '93.85')
+('epoch: ', 12, 'V all: ', '88.70', '   Test all: ', '86.83', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '88.86', '   Train root: ', '94.38')
+('epoch: ', 13, 'V all: ', '88.55', '   Test all: ', '87.48', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '89.47', '   Train root: ', '92.60')
+('epoch: ', 14, 'V all: ', '88.85', '   Test all: ', '87.56', 'V root: ', '89.17', '   Test root: ', '90.83', '   Train: ', '89.77', '   Train root: ', '93.12')
+('epoch: ', 15, 'V all: ', '88.93', '   Test all: ', '87.64', 'V root: ', '91.67', '   Test root: ', '96.67', '   Train: ', '89.72', '   Train root: ', '94.27')
+('epoch: ', 16, 'V all: ', '88.78', '   Test all: ', '88.29', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '90.10', '   Train root: ', '94.17')
+('Best valid: ', '88.93', ' Test all: ', '87.07', 'Test root: ', '96.67', '   time: ', 388.2977120876312)
+
+
+model LSTM_1_3 :  h_dim =  100  learning rate =  0.01  batch_size =  1  dropout_rate =  0.5
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '85.19', '   Test all: ', '83.98', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '84.05', '   Train root: ', '91.77')
+('epoch: ', 3, 'V all: ', '86.56', '   Test all: ', '84.80', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '85.12', '   Train root: ', '93.02')
+('epoch: ', 4, 'V all: ', '87.56', '   Test all: ', '85.28', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '85.89', '   Train root: ', '91.35')
+('epoch: ', 5, 'V all: ', '86.95', '   Test all: ', '86.42', 'V root: ', '85.83', '   Test root: ', '92.50', '   Train: ', '86.57', '   Train root: ', '90.21')
+('epoch: ', 6, 'V all: ', '87.94', '   Test all: ', '86.10', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '86.80', '   Train root: ', '92.60')
+('epoch: ', 7, 'V all: ', '88.02', '   Test all: ', '86.42', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '87.34', '   Train root: ', '91.67')
+('epoch: ', 8, 'V all: ', '88.02', '   Test all: ', '86.83', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '87.61', '   Train root: ', '91.77')
+('epoch: ', 9, 'V all: ', '88.24', '   Test all: ', '87.15', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '88.06', '   Train root: ', '90.83')
+('epoch: ', 10, 'V all: ', '88.32', '   Test all: ', '87.48', 'V root: ', '90.00', '   Test root: ', '95.83', '   Train: ', '88.34', '   Train root: ', '92.92')
+('epoch: ', 11, 'V all: ', '88.63', '   Test all: ', '86.99', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '88.79', '   Train root: ', '93.33')
+('epoch: ', 12, 'V all: ', '88.55', '   Test all: ', '87.32', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '89.11', '   Train root: ', '93.85')
+('epoch: ', 13, 'V all: ', '88.85', '   Test all: ', '87.97', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '89.40', '   Train root: ', '92.40')
+('epoch: ', 14, 'V all: ', '88.63', '   Test all: ', '87.48', 'V root: ', '87.50', '   Test root: ', '91.67', '   Train: ', '89.64', '   Train root: ', '92.92')
+('epoch: ', 15, 'V all: ', '88.85', '   Test all: ', '87.40', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '89.88', '   Train root: ', '94.90')
+('epoch: ', 16, 'V all: ', '89.39', '   Test all: ', '87.97', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '90.29', '   Train root: ', '93.44')
+('epoch: ', 17, 'V all: ', '89.54', '   Test all: ', '88.21', 'V root: ', '87.50', '   Test root: ', '91.67', '   Train: ', '90.53', '   Train root: ', '92.40')
+('epoch: ', 18, 'V all: ', '89.31', '   Test all: ', '87.80', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '90.57', '   Train root: ', '94.38')
+('epoch: ', 19, 'V all: ', '89.31', '   Test all: ', '88.05', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '90.79', '   Train root: ', '94.38')
+('epoch: ', 20, 'V all: ', '89.31', '   Test all: ', '88.37', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '91.09', '   Train root: ', '94.27')
+('epoch: ', 21, 'V all: ', '89.54', '   Test all: ', '88.70', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '91.47', '   Train root: ', '94.38')
+('epoch: ', 22, 'V all: ', '89.24', '   Test all: ', '88.78', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '91.59', '   Train root: ', '94.58')
+('Best valid: ', '89.54', ' Test all: ', '88.21', 'Test root: ', '91.67', '   time: ', 570.6633660793304)
+
+
+model LSTM_1_3 :  h_dim =  100  learning rate =  0.05  batch_size =  1  dropout_rate =  0.5
+
+('epoch: ', 0, 'V all: ', '87.10', '   Test all: ', '85.61', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '85.89', '   Train root: ', '90.62')
+('epoch: ', 1, 'V all: ', '87.48', '   Test all: ', '87.07', 'V root: ', '85.83', '   Test root: ', '95.00', '   Train: ', '87.58', '   Train root: ', '89.79')
+('epoch: ', 2, 'V all: ', '88.24', '   Test all: ', '86.59', 'V root: ', '85.00', '   Test root: ', '93.33', '   Train: ', '88.84', '   Train root: ', '92.40')
+('epoch: ', 3, 'V all: ', '89.01', '   Test all: ', '87.15', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '89.78', '   Train root: ', '93.85')
+('epoch: ', 4, 'V all: ', '88.93', '   Test all: ', '88.05', 'V root: ', '90.00', '   Test root: ', '96.67', '   Train: ', '90.87', '   Train root: ', '94.38')
+('epoch: ', 5, 'V all: ', '89.01', '   Test all: ', '88.37', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '92.10', '   Train root: ', '93.96')
+('epoch: ', 6, 'V all: ', '89.62', '   Test all: ', '89.35', 'V root: ', '90.00', '   Test root: ', '95.83', '   Train: ', '92.47', '   Train root: ', '95.94')
+('epoch: ', 7, 'V all: ', '89.47', '   Test all: ', '89.27', 'V root: ', '85.00', '   Test root: ', '91.67', '   Train: ', '93.15', '   Train root: ', '94.79')
+('epoch: ', 8, 'V all: ', '89.54', '   Test all: ', '89.67', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '93.75', '   Train root: ', '95.94')
+('epoch: ', 9, 'V all: ', '89.85', '   Test all: ', '89.11', 'V root: ', '82.50', '   Test root: ', '86.67', '   Train: ', '94.37', '   Train root: ', '95.83')
+('epoch: ', 10, 'V all: ', '90.53', '   Test all: ', '89.59', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '94.87', '   Train root: ', '97.71')
+('epoch: ', 11, 'V all: ', '90.46', '   Test all: ', '89.84', 'V root: ', '84.17', '   Test root: ', '90.83', '   Train: ', '95.30', '   Train root: ', '96.46')
+('epoch: ', 12, 'V all: ', '90.69', '   Test all: ', '89.59', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '95.48', '   Train root: ', '98.12')
+('epoch: ', 13, 'V all: ', '91.07', '   Test all: ', '90.08', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '96.21', '   Train root: ', '98.12')
+
+w epoce 18 jest taki sam score na validacyjnym - przy starej regule w tym miejscu bysmy zakonczyli
+
+('epoch: ', 14, 'V all: ', '90.84', '   Test all: ', '89.84', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '96.32', '   Train root: ', '98.54')
+('epoch: ', 15, 'V all: ', '90.84', '   Test all: ', '89.84', 'V root: ', '87.50', '   Test root: ', '91.67', '   Train: ', '96.73', '   Train root: ', '98.96')
+('epoch: ', 16, 'V all: ', '90.53', '   Test all: ', '89.35', 'V root: ', '82.50', '   Test root: ', '89.17', '   Train: ', '97.09', '   Train root: ', '98.54')
+('epoch: ', 17, 'V all: ', '90.53', '   Test all: ', '89.51', 'V root: ', '84.17', '   Test root: ', '92.50', '   Train: ', '97.32', '   Train root: ', '98.54')
+('epoch: ', 18, 'V all: ', '91.07', '   Test all: ', '90.00', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '97.31', '   Train root: ', '99.27')
+('epoch: ', 19, 'V all: ', '90.84', '   Test all: ', '89.43', 'V root: ', '85.83', '   Test root: ', '91.67', '   Train: ', '97.64', '   Train root: ', '99.06')
+('epoch: ', 20, 'V all: ', '90.92', '   Test all: ', '89.19', 'V root: ', '86.67', '   Test root: ', '88.33', '   Train: ', '97.76', '   Train root: ', '98.75')
+('epoch: ', 21, 'V all: ', '90.99', '   Test all: ', '89.84', 'V root: ', '85.00', '   Test root: ', '90.00', '   Train: ', '98.11', '   Train root: ', '99.58')
+('epoch: ', 22, 'V all: ', '90.76', '   Test all: ', '89.84', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '98.04', '   Train root: ', '99.69')
+('epoch: ', 23, 'V all: ', '91.15', '   Test all: ', '89.76', 'V root: ', '85.83', '   Test root: ', '91.67', '   Train: ', '98.26', '   Train root: ', '99.79')
+('epoch: ', 24, 'V all: ', '91.07', '   Test all: ', '89.59', 'V root: ', '85.00', '   Test root: ', '88.33', '   Train: ', '98.60', '   Train root: ', '99.38')
+('epoch: ', 25, 'V all: ', '91.15', '   Test all: ', '90.00', 'V root: ', '88.33', '   Test root: ', '90.83', '   Train: ', '98.42', '   Train root: ', '99.58')
+('epoch: ', 26, 'V all: ', '90.92', '   Test all: ', '90.08', 'V root: ', '86.67', '   Test root: ', '90.83', '   Train: ', '98.60', '   Train root: ', '99.48')
+('epoch: ', 27, 'V all: ', '90.84', '   Test all: ', '89.92', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '98.51', '   Train root: ', '99.90')
+('epoch: ', 28, 'V all: ', '90.92', '   Test all: ', '89.84', 'V root: ', '88.33', '   Test root: ', '91.67', '   Train: ', '98.72', '   Train root: ', '99.90')
+('epoch: ', 29, 'V all: ', '91.22', '   Test all: ', '90.24', 'V root: ', '88.33', '   Test root: ', '91.67', '   Train: ', '98.79', '   Train root: ', '99.69')
+('epoch: ', 30, 'V all: ', '91.45', '   Test all: ', '90.00', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '98.80', '   Train root: ', '99.69')
+('epoch: ', 31, 'V all: ', '91.07', '   Test all: ', '89.67', 'V root: ', '86.67', '   Test root: ', '90.00', '   Train: ', '98.91', '   Train root: ', '99.90')
+('epoch: ', 32, 'V all: ', '91.68', '   Test all: ', '89.76', 'V root: ', '86.67', '   Test root: ', '89.17', '   Train: ', '99.03', '   Train root: ', '99.90')
+('epoch: ', 33, 'V all: ', '91.22', '   Test all: ', '89.59', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '98.98', '   Train root: ', '99.90')
+('epoch: ', 34, 'V all: ', '91.30', '   Test all: ', '89.67', 'V root: ', '86.67', '   Test root: ', '89.17', '   Train: ', '98.97', '   Train root: ', '99.90')
+('epoch: ', 35, 'V all: ', '91.37', '   Test all: ', '89.76', 'V root: ', '85.83', '   Test root: ', '94.17', '   Train: ', '99.08', '   Train root: ', '99.79')
+('epoch: ', 36, 'V all: ', '91.60', '   Test all: ', '89.76', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '99.13', '   Train root: ', '99.58')
+('epoch: ', 37, 'V all: ', '91.30', '   Test all: ', '89.92', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '99.11', '   Train root: ', '99.90')
+('Best valid: ', '91.68', ' Test all: ', '89.76', 'Test root: ', '89.17', '   time: ', 975.294823884964)
+
+
+
+
+model LSTM_1_4 :  h_dim =  30  learning rate =  0.01  lambda = 0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '84.66', '   Test all: ', '83.33', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '83.33', '   Train root: ', '91.25')
+('epoch: ', 4, 'V all: ', '86.41', '   Test all: ', '85.04', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '84.85', '   Train root: ', '92.92')
+('epoch: ', 5, 'V all: ', '86.87', '   Test all: ', '85.20', 'V root: ', '91.67', '   Test root: ', '92.50', '   Train: ', '85.77', '   Train root: ', '91.88')
+('epoch: ', 6, 'V all: ', '87.48', '   Test all: ', '85.53', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '86.03', '   Train root: ', '93.44')
+('epoch: ', 7, 'V all: ', '87.56', '   Test all: ', '85.77', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '86.28', '   Train root: ', '92.71')
+('epoch: ', 8, 'V all: ', '87.63', '   Test all: ', '85.61', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '86.44', '   Train root: ', '93.02')
+('epoch: ', 9, 'V all: ', '87.71', '   Test all: ', '86.18', 'V root: ', '89.17', '   Test root: ', '92.50', '   Train: ', '86.69', '   Train root: ', '91.56')
+('epoch: ', 10, 'V all: ', '88.24', '   Test all: ', '86.18', 'V root: ', '92.50', '   Test root: ', '94.17', '   Train: ', '86.87', '   Train root: ', '93.23')
+('epoch: ', 11, 'V all: ', '88.40', '   Test all: ', '86.10', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '86.95', '   Train root: ', '93.85')
+('epoch: ', 12, 'V all: ', '88.32', '   Test all: ', '85.93', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '86.98', '   Train root: ', '94.17')
+('epoch: ', 13, 'V all: ', '87.94', '   Test all: ', '86.26', 'V root: ', '90.00', '   Test root: ', '92.50', '   Train: ', '87.34', '   Train root: ', '92.60')
+('epoch: ', 14, 'V all: ', '87.79', '   Test all: ', '85.93', 'V root: ', '90.83', '   Test root: ', '92.50', '   Train: ', '87.31', '   Train root: ', '92.71')
+('epoch: ', 15, 'V all: ', '87.79', '   Test all: ', '86.42', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '87.26', '   Train root: ', '94.06')
+('epoch: ', 16, 'V all: ', '88.09', '   Test all: ', '86.26', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '87.42', '   Train root: ', '93.02')
+('Best valid: ', '88.40', ' Test all: ', '86.10', 'Test root: ', '95.00', '   time: ', 478.4410319328308)
+
+model LSTM_1_4 :  h_dim =  30  learning rate =  0.01  lambda =  0.001  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '83.28', '   Test all: ', '82.20', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '82.00', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '85.19', '   Test all: ', '84.31', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '84.19', '   Train root: ', '92.40')
+('epoch: ', 4, 'V all: ', '86.72', '   Test all: ', '85.20', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '85.73', '   Train root: ', '92.60')
+('epoch: ', 5, 'V all: ', '87.10', '   Test all: ', '85.45', 'V root: ', '91.67', '   Test root: ', '92.50', '   Train: ', '85.99', '   Train root: ', '92.29')
+('epoch: ', 6, 'V all: ', '88.09', '   Test all: ', '85.53', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '86.35', '   Train root: ', '93.33')
+('epoch: ', 7, 'V all: ', '88.02', '   Test all: ', '86.02', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '86.86', '   Train root: ', '92.71')
+('epoch: ', 8, 'V all: ', '88.32', '   Test all: ', '86.18', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '87.21', '   Train root: ', '93.44')
+('epoch: ', 9, 'V all: ', '88.09', '   Test all: ', '86.26', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '87.80', '   Train root: ', '91.67')
+('epoch: ', 10, 'V all: ', '88.63', '   Test all: ', '86.50', 'V root: ', '90.00', '   Test root: ', '95.83', '   Train: ', '88.11', '   Train root: ', '93.54')
+('epoch: ', 11, 'V all: ', '88.24', '   Test all: ', '87.07', 'V root: ', '90.00', '   Test root: ', '96.67', '   Train: ', '88.38', '   Train root: ', '93.75')
+('epoch: ', 12, 'V all: ', '88.55', '   Test all: ', '87.15', 'V root: ', '90.83', '   Test root: ', '96.67', '   Train: ', '88.58', '   Train root: ', '94.69')
+('epoch: ', 13, 'V all: ', '88.55', '   Test all: ', '87.64', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '89.32', '   Train root: ', '92.71')
+('epoch: ', 14, 'V all: ', '88.32', '   Test all: ', '87.24', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '89.18', '   Train root: ', '92.81')
+('epoch: ', 15, 'V all: ', '89.16', '   Test all: ', '87.80', 'V root: ', '90.83', '   Test root: ', '97.50', '   Train: ', '89.45', '   Train root: ', '94.90')
+('epoch: ', 16, 'V all: ', '88.78', '   Test all: ', '87.80', 'V root: ', '87.50', '   Test root: ', '96.67', '   Train: ', '89.73', '   Train root: ', '93.85')
+('epoch: ', 17, 'V all: ', '89.08', '   Test all: ', '87.80', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '89.94', '   Train root: ', '92.40')
+('epoch: ', 18, 'V all: ', '89.24', '   Test all: ', '87.97', 'V root: ', '89.17', '   Test root: ', '97.50', '   Train: ', '90.18', '   Train root: ', '94.69')
+('epoch: ', 19, 'V all: ', '89.24', '   Test all: ', '87.89', 'V root: ', '90.00', '   Test root: ', '97.50', '   Train: ', '90.20', '   Train root: ', '95.10')
+('epoch: ', 20, 'V all: ', '89.31', '   Test all: ', '87.89', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '90.57', '   Train root: ', '94.48')
+('epoch: ', 21, 'V all: ', '89.39', '   Test all: ', '88.46', 'V root: ', '88.33', '   Test root: ', '95.83', '   Train: ', '90.73', '   Train root: ', '94.48')
+('epoch: ', 22, 'V all: ', '89.31', '   Test all: ', '88.29', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '90.76', '   Train root: ', '94.06')
+('epoch: ', 23, 'V all: ', '89.24', '   Test all: ', '88.62', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '91.02', '   Train root: ', '94.48')
+('epoch: ', 24, 'V all: ', '89.47', '   Test all: ', '88.37', 'V root: ', '85.00', '   Test root: ', '91.67', '   Train: ', '91.24', '   Train root: ', '93.12')
+('epoch: ', 25, 'V all: ', '89.62', '   Test all: ', '88.37', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '91.19', '   Train root: ', '94.17')
+('epoch: ', 26, 'V all: ', '89.31', '   Test all: ', '88.70', 'V root: ', '85.83', '   Test root: ', '92.50', '   Train: ', '91.41', '   Train root: ', '93.65')
+('epoch: ', 27, 'V all: ', '89.54', '   Test all: ', '88.78', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '91.31', '   Train root: ', '95.73')
+('epoch: ', 28, 'V all: ', '89.31', '   Test all: ', '88.94', 'V root: ', '85.00', '   Test root: ', '92.50', '   Train: ', '91.74', '   Train root: ', '94.58')
+('epoch: ', 29, 'V all: ', '89.31', '   Test all: ', '89.27', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '91.81', '   Train root: ', '95.42')
+('epoch: ', 30, 'V all: ', '89.69', '   Test all: ', '89.02', 'V root: ', '89.17', '   Test root: ', '95.83', '   Train: ', '91.92', '   Train root: ', '95.94')
+('epoch: ', 31, 'V all: ', '89.62', '   Test all: ', '88.54', 'V root: ', '88.33', '   Test root: ', '95.83', '   Train: ', '91.94', '   Train root: ', '95.83')
+('epoch: ', 32, 'V all: ', '90.00', '   Test all: ', '88.86', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '92.37', '   Train root: ', '95.00')
+('epoch: ', 33, 'V all: ', '90.00', '   Test all: ', '88.94', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '92.20', '   Train root: ', '96.15')
+('epoch: ', 34, 'V all: ', '89.77', '   Test all: ', '88.94', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '92.65', '   Train root: ', '95.52')
+('epoch: ', 35, 'V all: ', '89.69', '   Test all: ', '89.02', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '92.80', '   Train root: ', '95.62')
+('epoch: ', 36, 'V all: ', '89.77', '   Test all: ', '89.35', 'V root: ', '89.17', '   Test root: ', '95.83', '   Train: ', '92.83', '   Train root: ', '96.25')
+('epoch: ', 37, 'V all: ', '90.00', '   Test all: ', '89.19', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '92.98', '   Train root: ', '95.83')
+('epoch: ', 38, 'V all: ', '90.15', '   Test all: ', '89.51', 'V root: ', '89.17', '   Test root: ', '95.83', '   Train: ', '93.04', '   Train root: ', '96.56')
+('epoch: ', 39, 'V all: ', '90.00', '   Test all: ', '89.92', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '93.24', '   Train root: ', '96.77')
+('epoch: ', 40, 'V all: ', '90.00', '   Test all: ', '89.76', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '93.33', '   Train root: ', '96.56')
+('epoch: ', 41, 'V all: ', '90.00', '   Test all: ', '89.67', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '93.53', '   Train root: ', '96.77')
+('epoch: ', 42, 'V all: ', '90.46', '   Test all: ', '90.16', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '93.78', '   Train root: ', '96.56')
+('epoch: ', 43, 'V all: ', '90.23', '   Test all: ', '89.84', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '93.81', '   Train root: ', '96.98')
+('epoch: ', 44, 'V all: ', '90.23', '   Test all: ', '90.00', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '94.08', '   Train root: ', '96.77')
+('epoch: ', 45, 'V all: ', '90.23', '   Test all: ', '89.67', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '93.97', '   Train root: ', '96.15')
+('epoch: ', 46, 'V all: ', '90.46', '   Test all: ', '90.16', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '94.26', '   Train root: ', '96.25')
+('epoch: ', 47, 'V all: ', '90.31', '   Test all: ', '89.84', 'V root: ', '83.33', '   Test root: ', '90.83', '   Train: ', '94.43', '   Train root: ', '95.94')
+('epoch: ', 48, 'V all: ', '90.15', '   Test all: ', '89.92', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '94.31', '   Train root: ', '97.19')
+('epoch: ', 49, 'V all: ', '90.00', '   Test all: ', '90.00', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '94.55', '   Train root: ', '97.19')
+('epoch: ', 50, 'V all: ', '90.00', '   Test all: ', '90.16', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '94.50', '   Train root: ', '97.08')
+('epoch: ', 51, 'V all: ', '90.23', '   Test all: ', '90.08', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '94.48', '   Train root: ', '97.81')
+('Best valid: ', '90.46', ' Test all: ', '90.16', 'Test root: ', '94.17', '   time: ', 1839.6728270053864)
+
+
+model LSTM_1_4 :  h_dim =  30  learning rate =  0.01  lambda =  0.0005  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '83.28', '   Test all: ', '82.20', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '82.01', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '85.19', '   Test all: ', '84.31', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '84.25', '   Train root: ', '92.81')
+('epoch: ', 4, 'V all: ', '86.72', '   Test all: ', '85.20', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '85.75', '   Train root: ', '92.60')
+('epoch: ', 5, 'V all: ', '87.10', '   Test all: ', '85.53', 'V root: ', '91.67', '   Test root: ', '92.50', '   Train: ', '85.99', '   Train root: ', '92.19')
+('epoch: ', 6, 'V all: ', '88.09', '   Test all: ', '85.53', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '86.35', '   Train root: ', '93.33')
+('epoch: ', 7, 'V all: ', '88.02', '   Test all: ', '86.10', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '86.92', '   Train root: ', '92.71')
+('epoch: ', 8, 'V all: ', '88.24', '   Test all: ', '86.18', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '87.28', '   Train root: ', '93.44')
+('epoch: ', 9, 'V all: ', '88.09', '   Test all: ', '86.42', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '87.88', '   Train root: ', '91.56')
+('epoch: ', 10, 'V all: ', '88.70', '   Test all: ', '86.75', 'V root: ', '90.00', '   Test root: ', '95.83', '   Train: ', '88.17', '   Train root: ', '93.44')
+('epoch: ', 11, 'V all: ', '88.09', '   Test all: ', '87.15', 'V root: ', '88.33', '   Test root: ', '96.67', '   Train: ', '88.54', '   Train root: ', '93.96')
+('epoch: ', 12, 'V all: ', '88.40', '   Test all: ', '87.24', 'V root: ', '89.17', '   Test root: ', '97.50', '   Train: ', '88.66', '   Train root: ', '94.48')
+('epoch: ', 13, 'V all: ', '88.70', '   Test all: ', '87.56', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '89.38', '   Train root: ', '92.71')
+('epoch: ', 14, 'V all: ', '88.32', '   Test all: ', '87.32', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '89.31', '   Train root: ', '93.02')
+('epoch: ', 15, 'V all: ', '89.39', '   Test all: ', '87.97', 'V root: ', '90.83', '   Test root: ', '97.50', '   Train: ', '89.53', '   Train root: ', '94.58')
+('epoch: ', 16, 'V all: ', '88.78', '   Test all: ', '88.05', 'V root: ', '87.50', '   Test root: ', '97.50', '   Train: ', '89.81', '   Train root: ', '93.85')
+('epoch: ', 17, 'V all: ', '89.08', '   Test all: ', '87.64', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '90.10', '   Train root: ', '92.29')
+('epoch: ', 18, 'V all: ', '89.31', '   Test all: ', '88.05', 'V root: ', '88.33', '   Test root: ', '97.50', '   Train: ', '90.42', '   Train root: ', '94.69')
+('epoch: ', 19, 'V all: ', '89.39', '   Test all: ', '88.13', 'V root: ', '90.00', '   Test root: ', '97.50', '   Train: ', '90.45', '   Train root: ', '95.31')
+('epoch: ', 20, 'V all: ', '89.47', '   Test all: ', '88.13', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '90.71', '   Train root: ', '94.69')
+('epoch: ', 21, 'V all: ', '89.39', '   Test all: ', '88.29', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '90.92', '   Train root: ', '95.00')
+('epoch: ', 22, 'V all: ', '89.31', '   Test all: ', '88.21', 'V root: ', '89.17', '   Test root: ', '92.50', '   Train: ', '90.98', '   Train root: ', '94.27')
+('epoch: ', 23, 'V all: ', '89.47', '   Test all: ', '88.70', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '91.20', '   Train root: ', '94.90')
+('epoch: ', 24, 'V all: ', '89.69', '   Test all: ', '88.62', 'V root: ', '85.83', '   Test root: ', '91.67', '   Train: ', '91.51', '   Train root: ', '93.02')
+('epoch: ', 25, 'V all: ', '89.47', '   Test all: ', '88.46', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '91.61', '   Train root: ', '94.06')
+('epoch: ', 26, 'V all: ', '89.31', '   Test all: ', '88.94', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '91.62', '   Train root: ', '93.96')
+('epoch: ', 27, 'V all: ', '89.54', '   Test all: ', '88.70', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '91.60', '   Train root: ', '95.62')
+('epoch: ', 28, 'V all: ', '89.54', '   Test all: ', '88.94', 'V root: ', '85.83', '   Test root: ', '92.50', '   Train: ', '92.00', '   Train root: ', '94.69')
+('epoch: ', 29, 'V all: ', '89.69', '   Test all: ', '88.78', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '92.12', '   Train root: ', '95.31')
+('epoch: ', 30, 'V all: ', '89.92', '   Test all: ', '89.11', 'V root: ', '89.17', '   Test root: ', '95.83', '   Train: ', '92.34', '   Train root: ', '96.04')
+('epoch: ', 31, 'V all: ', '89.77', '   Test all: ', '88.94', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '92.32', '   Train root: ', '95.94')
+('epoch: ', 32, 'V all: ', '90.08', '   Test all: ', '88.70', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '92.74', '   Train root: ', '95.42')
+('epoch: ', 33, 'V all: ', '90.00', '   Test all: ', '89.11', 'V root: ', '90.83', '   Test root: ', '95.83', '   Train: ', '92.50', '   Train root: ', '96.56')
+('epoch: ', 34, 'V all: ', '89.85', '   Test all: ', '89.11', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '92.91', '   Train root: ', '95.62')
+('epoch: ', 35, 'V all: ', '89.77', '   Test all: ', '89.11', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '93.16', '   Train root: ', '95.83')
+('epoch: ', 36, 'V all: ', '90.00', '   Test all: ', '89.59', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '93.22', '   Train root: ', '96.25')
+('epoch: ', 37, 'V all: ', '90.15', '   Test all: ', '89.51', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '93.40', '   Train root: ', '96.04')
+('epoch: ', 38, 'V all: ', '90.08', '   Test all: ', '89.43', 'V root: ', '89.17', '   Test root: ', '95.83', '   Train: ', '93.48', '   Train root: ', '96.56')
+('epoch: ', 39, 'V all: ', '90.00', '   Test all: ', '90.08', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '93.58', '   Train root: ', '96.77')
+('epoch: ', 40, 'V all: ', '89.92', '   Test all: ', '89.67', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '93.74', '   Train root: ', '96.67')
+('epoch: ', 41, 'V all: ', '90.00', '   Test all: ', '89.76', 'V root: ', '85.83', '   Test root: ', '94.17', '   Train: ', '93.94', '   Train root: ', '97.08')
+('epoch: ', 42, 'V all: ', '90.53', '   Test all: ', '90.00', 'V root: ', '86.67', '   Test root: ', '93.33', '   Train: ', '94.22', '   Train root: ', '96.88')
+('epoch: ', 43, 'V all: ', '90.31', '   Test all: ', '89.84', 'V root: ', '86.67', '   Test root: ', '93.33', '   Train: ', '94.18', '   Train root: ', '96.98')
+('epoch: ', 44, 'V all: ', '90.23', '   Test all: ', '90.33', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '94.52', '   Train root: ', '96.98')
+('epoch: ', 45, 'V all: ', '90.00', '   Test all: ', '89.84', 'V root: ', '85.83', '   Test root: ', '91.67', '   Train: ', '94.49', '   Train root: ', '96.46')
+('epoch: ', 46, 'V all: ', '90.31', '   Test all: ', '90.41', 'V root: ', '86.67', '   Test root: ', '93.33', '   Train: ', '94.63', '   Train root: ', '96.35')
+('epoch: ', 47, 'V all: ', '90.08', '   Test all: ', '89.76', 'V root: ', '83.33', '   Test root: ', '90.00', '   Train: ', '94.82', '   Train root: ', '96.15')
+('Best valid: ', '90.53', ' Test all: ', '90.00', 'Test root: ', '93.33', '   time: ', 1306.691143989563)
+
+model LSTM_1_4 :  h_dim =  30  learning rate =  0.01  lambda =  0.0001  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '83.44', '   Test all: ', '82.20', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '82.08', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '85.27', '   Test all: ', '84.39', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '84.30', '   Train root: ', '92.92')
+('epoch: ', 4, 'V all: ', '86.72', '   Test all: ', '85.20', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '85.75', '   Train root: ', '92.50')
+('epoch: ', 5, 'V all: ', '87.10', '   Test all: ', '85.61', 'V root: ', '91.67', '   Test root: ', '92.50', '   Train: ', '85.99', '   Train root: ', '92.19')
+('epoch: ', 6, 'V all: ', '88.17', '   Test all: ', '85.53', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '86.37', '   Train root: ', '93.33')
+('epoch: ', 7, 'V all: ', '88.02', '   Test all: ', '86.10', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '86.96', '   Train root: ', '92.60')
+('epoch: ', 8, 'V all: ', '88.24', '   Test all: ', '86.10', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '87.38', '   Train root: ', '93.33')
+('epoch: ', 9, 'V all: ', '88.17', '   Test all: ', '86.59', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '87.96', '   Train root: ', '91.56')
+('epoch: ', 10, 'V all: ', '88.70', '   Test all: ', '86.67', 'V root: ', '89.17', '   Test root: ', '95.83', '   Train: ', '88.23', '   Train root: ', '93.44')
+('epoch: ', 11, 'V all: ', '88.17', '   Test all: ', '87.07', 'V root: ', '88.33', '   Test root: ', '96.67', '   Train: ', '88.61', '   Train root: ', '93.96')
+('epoch: ', 12, 'V all: ', '88.40', '   Test all: ', '87.32', 'V root: ', '89.17', '   Test root: ', '97.50', '   Train: ', '88.74', '   Train root: ', '94.58')
+('epoch: ', 13, 'V all: ', '88.78', '   Test all: ', '87.72', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '89.52', '   Train root: ', '93.23')
+('epoch: ', 14, 'V all: ', '88.55', '   Test all: ', '87.32', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '89.45', '   Train root: ', '93.02')
+('epoch: ', 15, 'V all: ', '89.39', '   Test all: ', '87.97', 'V root: ', '90.83', '   Test root: ', '97.50', '   Train: ', '89.66', '   Train root: ', '94.58')
+('epoch: ', 16, 'V all: ', '88.78', '   Test all: ', '88.05', 'V root: ', '87.50', '   Test root: ', '97.50', '   Train: ', '89.99', '   Train root: ', '93.75')
+('epoch: ', 17, 'V all: ', '89.08', '   Test all: ', '87.64', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '90.24', '   Train root: ', '92.40')
+('epoch: ', 18, 'V all: ', '89.39', '   Test all: ', '88.29', 'V root: ', '88.33', '   Test root: ', '97.50', '   Train: ', '90.50', '   Train root: ', '94.58')
+('epoch: ', 19, 'V all: ', '89.39', '   Test all: ', '88.05', 'V root: ', '90.00', '   Test root: ', '97.50', '   Train: ', '90.57', '   Train root: ', '95.31')
+('epoch: ', 20, 'V all: ', '89.39', '   Test all: ', '88.37', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '90.79', '   Train root: ', '94.79')
+('epoch: ', 21, 'V all: ', '89.47', '   Test all: ', '88.46', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '91.16', '   Train root: ', '94.90')
+('epoch: ', 22, 'V all: ', '89.39', '   Test all: ', '88.13', 'V root: ', '89.17', '   Test root: ', '92.50', '   Train: ', '91.14', '   Train root: ', '94.48')
+('epoch: ', 23, 'V all: ', '89.47', '   Test all: ', '88.86', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '91.37', '   Train root: ', '94.90')
+('epoch: ', 24, 'V all: ', '89.77', '   Test all: ', '88.86', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '91.70', '   Train root: ', '93.23')
+('epoch: ', 25, 'V all: ', '89.39', '   Test all: ', '88.37', 'V root: ', '86.67', '   Test root: ', '93.33', '   Train: ', '91.82', '   Train root: ', '94.48')
+('epoch: ', 26, 'V all: ', '89.47', '   Test all: ', '89.19', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '91.84', '   Train root: ', '94.27')
+('epoch: ', 27, 'V all: ', '89.62', '   Test all: ', '88.70', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '91.82', '   Train root: ', '95.83')
+('epoch: ', 28, 'V all: ', '89.62', '   Test all: ', '89.02', 'V root: ', '85.83', '   Test root: ', '92.50', '   Train: ', '92.31', '   Train root: ', '94.90')
+('epoch: ', 29, 'V all: ', '89.69', '   Test all: ', '88.94', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '92.39', '   Train root: ', '95.62')
+('Best valid: ', '89.77', ' Test all: ', '88.86', 'Test root: ', '93.33', '   time: ', 960.2973389625549)
+
+
+model LSTM_1_4 :  h_dim =  30  learning rate =  0.01  lambda =  1e-05  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '83.51', '   Test all: ', '82.20', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '82.08', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '85.27', '   Test all: ', '84.39', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '84.30', '   Train root: ', '92.92')
+('epoch: ', 4, 'V all: ', '86.64', '   Test all: ', '85.20', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '85.72', '   Train root: ', '92.50')
+('epoch: ', 5, 'V all: ', '87.18', '   Test all: ', '85.61', 'V root: ', '91.67', '   Test root: ', '92.50', '   Train: ', '85.99', '   Train root: ', '92.19')
+('epoch: ', 6, 'V all: ', '88.17', '   Test all: ', '85.53', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '86.36', '   Train root: ', '93.33')
+('epoch: ', 7, 'V all: ', '88.02', '   Test all: ', '86.10', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '86.92', '   Train root: ', '92.60')
+('epoch: ', 8, 'V all: ', '88.24', '   Test all: ', '86.10', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '87.40', '   Train root: ', '93.23')
+('epoch: ', 9, 'V all: ', '88.09', '   Test all: ', '86.67', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '87.99', '   Train root: ', '91.56')
+('epoch: ', 10, 'V all: ', '88.70', '   Test all: ', '86.67', 'V root: ', '89.17', '   Test root: ', '95.83', '   Train: ', '88.23', '   Train root: ', '93.44')
+('epoch: ', 11, 'V all: ', '88.17', '   Test all: ', '87.07', 'V root: ', '88.33', '   Test root: ', '96.67', '   Train: ', '88.63', '   Train root: ', '93.96')
+('epoch: ', 12, 'V all: ', '88.32', '   Test all: ', '87.32', 'V root: ', '89.17', '   Test root: ', '97.50', '   Train: ', '88.78', '   Train root: ', '94.58')
+('epoch: ', 13, 'V all: ', '88.85', '   Test all: ', '87.72', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '89.56', '   Train root: ', '93.23')
+('epoch: ', 14, 'V all: ', '88.55', '   Test all: ', '87.32', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '89.49', '   Train root: ', '93.12')
+('epoch: ', 15, 'V all: ', '89.39', '   Test all: ', '87.97', 'V root: ', '90.83', '   Test root: ', '97.50', '   Train: ', '89.69', '   Train root: ', '94.58')
+('epoch: ', 16, 'V all: ', '88.85', '   Test all: ', '88.05', 'V root: ', '87.50', '   Test root: ', '97.50', '   Train: ', '89.99', '   Train root: ', '93.75')
+('epoch: ', 17, 'V all: ', '89.08', '   Test all: ', '87.64', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '90.27', '   Train root: ', '92.40')
+('epoch: ', 18, 'V all: ', '89.39', '   Test all: ', '88.29', 'V root: ', '88.33', '   Test root: ', '97.50', '   Train: ', '90.50', '   Train root: ', '94.58')
+('epoch: ', 19, 'V all: ', '89.39', '   Test all: ', '88.05', 'V root: ', '90.00', '   Test root: ', '97.50', '   Train: ', '90.57', '   Train root: ', '95.31')
+('epoch: ', 20, 'V all: ', '89.39', '   Test all: ', '88.37', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '90.81', '   Train root: ', '94.79')
+('epoch: ', 21, 'V all: ', '89.39', '   Test all: ', '88.46', 'V root: ', '86.67', '   Test root: ', '95.00', '   Train: ', '91.18', '   Train root: ', '94.90')
+('epoch: ', 22, 'V all: ', '89.39', '   Test all: ', '88.13', 'V root: ', '89.17', '   Test root: ', '92.50', '   Train: ', '91.17', '   Train root: ', '94.58')
+('epoch: ', 23, 'V all: ', '89.47', '   Test all: ', '88.78', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '91.43', '   Train root: ', '94.90')
+('epoch: ', 24, 'V all: ', '89.85', '   Test all: ', '88.94', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '91.73', '   Train root: ', '93.23')
+('epoch: ', 25, 'V all: ', '89.39', '   Test all: ', '88.46', 'V root: ', '86.67', '   Test root: ', '93.33', '   Train: ', '91.86', '   Train root: ', '94.58')
+('epoch: ', 26, 'V all: ', '89.47', '   Test all: ', '89.19', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '91.88', '   Train root: ', '94.27')
+('epoch: ', 27, 'V all: ', '89.62', '   Test all: ', '88.70', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '91.89', '   Train root: ', '95.83')
+('epoch: ', 28, 'V all: ', '89.62', '   Test all: ', '88.94', 'V root: ', '85.83', '   Test root: ', '91.67', '   Train: ', '92.37', '   Train root: ', '94.90')
+('epoch: ', 29, 'V all: ', '89.77', '   Test all: ', '88.94', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '92.49', '   Train root: ', '95.73')
+('Best valid: ', '89.85', ' Test all: ', '88.94', 'Test root: ', '93.33', '   time: ', 1262.7602128982544)
+
+LSTM_LSTM_chain_1
+
+do dupy
+
+
+model LSTM_3_1 :  h_dim =  10  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.87', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '86.56', '   Test all: ', '85.28', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '85.56', '   Train root: ', '91.88')
+('epoch: ', 3, 'V all: ', '87.48', '   Test all: ', '85.69', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '86.44', '   Train root: ', '92.50')
+('epoch: ', 4, 'V all: ', '87.86', '   Test all: ', '86.26', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '87.29', '   Train root: ', '92.92')
+('epoch: ', 5, 'V all: ', '87.94', '   Test all: ', '87.24', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '88.55', '   Train root: ', '90.83')
+('epoch: ', 6, 'V all: ', '87.94', '   Test all: ', '87.40', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '88.87', '   Train root: ', '93.54')
+('epoch: ', 7, 'V all: ', '88.55', '   Test all: ', '87.89', 'V root: ', '89.17', '   Test root: ', '95.83', '   Train: ', '89.69', '   Train root: ', '93.23')
+('epoch: ', 8, 'V all: ', '89.39', '   Test all: ', '88.21', 'V root: ', '90.83', '   Test root: ', '96.67', '   Train: ', '90.13', '   Train root: ', '94.90')
+('epoch: ', 9, 'V all: ', '88.93', '   Test all: ', '87.80', 'V root: ', '81.67', '   Test root: ', '91.67', '   Train: ', '90.75', '   Train root: ', '92.81')
+('epoch: ', 10, 'V all: ', '88.93', '   Test all: ', '88.05', 'V root: ', '85.00', '   Test root: ', '94.17', '   Train: ', '90.96', '   Train root: ', '94.79')
+('epoch: ', 11, 'V all: ', '89.16', '   Test all: ', '87.97', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '91.46', '   Train root: ', '95.52')
+('epoch: ', 12, 'V all: ', '89.69', '   Test all: ', '87.89', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '91.60', '   Train root: ', '96.35')
+('epoch: ', 13, 'V all: ', '89.24', '   Test all: ', '88.05', 'V root: ', '85.00', '   Test root: ', '92.50', '   Train: ', '92.32', '   Train root: ', '95.83')
+('epoch: ', 14, 'V all: ', '89.47', '   Test all: ', '88.29', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '92.79', '   Train root: ', '96.35')
+('epoch: ', 15, 'V all: ', '89.85', '   Test all: ', '88.54', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '93.12', '   Train root: ', '97.29')
+('epoch: ', 16, 'V all: ', '89.31', '   Test all: ', '88.62', 'V root: ', '83.33', '   Test root: ', '92.50', '   Train: ', '93.47', '   Train root: ', '96.04')
+('epoch: ', 17, 'V all: ', '89.24', '   Test all: ', '88.78', 'V root: ', '84.17', '   Test root: ', '91.67', '   Train: ', '94.13', '   Train root: ', '96.25')
+('epoch: ', 18, 'V all: ', '90.08', '   Test all: ', '88.62', 'V root: ', '85.83', '   Test root: ', '92.50', '   Train: ', '94.12', '   Train root: ', '97.71')
+('epoch: ', 19, 'V all: ', '89.85', '   Test all: ', '88.62', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '94.25', '   Train root: ', '97.71')
+('epoch: ', 20, 'V all: ', '89.69', '   Test all: ', '88.78', 'V root: ', '85.00', '   Test root: ', '93.33', '   Train: ', '94.88', '   Train root: ', '97.71')
+('epoch: ', 21, 'V all: ', '90.15', '   Test all: ', '89.27', 'V root: ', '85.00', '   Test root: ', '90.00', '   Train: ', '95.17', '   Train root: ', '96.77')
+('epoch: ', 22, 'V all: ', '89.62', '   Test all: ', '88.86', 'V root: ', '84.17', '   Test root: ', '90.00', '   Train: ', '95.29', '   Train root: ', '97.19')
+('epoch: ', 23, 'V all: ', '90.23', '   Test all: ', '89.11', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '95.51', '   Train root: ', '97.71')
+('epoch: ', 24, 'V all: ', '89.77', '   Test all: ', '88.78', 'V root: ', '85.00', '   Test root: ', '91.67', '   Train: ', '95.91', '   Train root: ', '97.40')
+('epoch: ', 25, 'V all: ', '89.69', '   Test all: ', '88.62', 'V root: ', '85.00', '   Test root: ', '90.00', '   Train: ', '96.08', '   Train root: ', '97.60')
+('epoch: ', 26, 'V all: ', '89.85', '   Test all: ', '88.46', 'V root: ', '85.00', '   Test root: ', '91.67', '   Train: ', '96.14', '   Train root: ', '97.92')
+('epoch: ', 27, 'V all: ', '90.31', '   Test all: ', '88.62', 'V root: ', '87.50', '   Test root: ', '91.67', '   Train: ', '96.20', '   Train root: ', '98.44')
+('epoch: ', 28, 'V all: ', '90.08', '   Test all: ', '88.46', 'V root: ', '85.00', '   Test root: ', '89.17', '   Train: ', '96.68', '   Train root: ', '98.75')
+('epoch: ', 29, 'V all: ', '89.92', '   Test all: ', '88.29', 'V root: ', '84.17', '   Test root: ', '89.17', '   Train: ', '96.74', '   Train root: ', '98.23')
+('epoch: ', 30, 'V all: ', '90.38', '   Test all: ', '88.94', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '96.76', '   Train root: ', '98.75')
+('epoch: ', 31, 'V all: ', '89.92', '   Test all: ', '88.78', 'V root: ', '85.83', '   Test root: ', '90.00', '   Train: ', '96.98', '   Train root: ', '98.96')
+('epoch: ', 32, 'V all: ', '90.38', '   Test all: ', '88.46', 'V root: ', '84.17', '   Test root: ', '89.17', '   Train: ', '97.22', '   Train root: ', '98.65')
+('epoch: ', 33, 'V all: ', '90.15', '   Test all: ', '88.54', 'V root: ', '85.00', '   Test root: ', '90.83', '   Train: ', '97.31', '   Train root: ', '99.48')
+('epoch: ', 34, 'V all: ', '90.23', '   Test all: ', '88.62', 'V root: ', '85.83', '   Test root: ', '89.17', '   Train: ', '97.44', '   Train root: ', '99.48')
+('epoch: ', 35, 'V all: ', '90.15', '   Test all: ', '88.46', 'V root: ', '85.00', '   Test root: ', '86.67', '   Train: ', '97.63', '   Train root: ', '98.23')
+('epoch: ', 36, 'V all: ', '90.38', '   Test all: ', '88.29', 'V root: ', '85.00', '   Test root: ', '88.33', '   Train: ', '97.67', '   Train root: ', '99.38')
+('epoch: ', 37, 'V all: ', '90.53', '   Test all: ', '88.62', 'V root: ', '84.17', '   Test root: ', '90.00', '   Train: ', '97.83', '   Train root: ', '99.69')
+('epoch: ', 38, 'V all: ', '90.46', '   Test all: ', '88.62', 'V root: ', '85.00', '   Test root: ', '89.17', '   Train: ', '97.88', '   Train root: ', '99.48')
+('epoch: ', 39, 'V all: ', '90.92', '   Test all: ', '88.78', 'V root: ', '85.83', '   Test root: ', '91.67', '   Train: ', '97.91', '   Train root: ', '99.48')
+('epoch: ', 40, 'V all: ', '90.84', '   Test all: ', '88.70', 'V root: ', '85.00', '   Test root: ', '89.17', '   Train: ', '97.96', '   Train root: ', '99.17')
+('epoch: ', 41, 'V all: ', '90.46', '   Test all: ', '88.94', 'V root: ', '84.17', '   Test root: ', '90.83', '   Train: ', '98.05', '   Train root: ', '99.58')
+('epoch: ', 42, 'V all: ', '90.92', '   Test all: ', '88.86', 'V root: ', '86.67', '   Test root: ', '90.00', '   Train: ', '98.11', '   Train root: ', '99.79')
+('epoch: ', 43, 'V all: ', '90.46', '   Test all: ', '88.86', 'V root: ', '85.00', '   Test root: ', '90.83', '   Train: ', '98.21', '   Train root: ', '99.69')
+('epoch: ', 44, 'V all: ', '90.61', '   Test all: ', '89.02', 'V root: ', '83.33', '   Test root: ', '90.83', '   Train: ', '98.35', '   Train root: ', '99.38')
+('epoch: ', 45, 'V all: ', '90.23', '   Test all: ', '88.94', 'V root: ', '83.33', '   Test root: ', '90.00', '   Train: ', '98.39', '   Train root: ', '99.17')
+('epoch: ', 46, 'V all: ', '90.69', '   Test all: ', '89.02', 'V root: ', '85.00', '   Test root: ', '90.83', '   Train: ', '98.48', '   Train root: ', '99.27')
+('epoch: ', 47, 'V all: ', '90.92', '   Test all: ', '88.86', 'V root: ', '86.67', '   Test root: ', '90.00', '   Train: ', '98.57', '   Train root: ', '99.58')
+('epoch: ', 48, 'V all: ', '90.84', '   Test all: ', '88.78', 'V root: ', '88.33', '   Test root: ', '90.00', '   Train: ', '98.56', '   Train root: ', '99.58')
+('epoch: ', 49, 'V all: ', '90.92', '   Test all: ', '88.78', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '98.55', '   Train root: ', '99.58')
+('epoch: ', 50, 'V all: ', '91.07', '   Test all: ', '88.86', 'V root: ', '85.83', '   Test root: ', '90.83', '   Train: ', '98.56', '   Train root: ', '99.48')
+('epoch: ', 51, 'V all: ', '90.84', '   Test all: ', '88.70', 'V root: ', '85.00', '   Test root: ', '89.17', '   Train: ', '98.63', '   Train root: ', '99.69')
+('epoch: ', 52, 'V all: ', '91.07', '   Test all: ', '88.78', 'V root: ', '85.83', '   Test root: ', '90.83', '   Train: ', '98.66', '   Train root: ', '99.79')
+('epoch: ', 53, 'V all: ', '91.07', '   Test all: ', '88.86', 'V root: ', '85.00', '   Test root: ', '89.17', '   Train: ', '98.63', '   Train root: ', '99.69')
+('epoch: ', 54, 'V all: ', '90.76', '   Test all: ', '88.70', 'V root: ', '85.83', '   Test root: ', '89.17', '   Train: ', '98.73', '   Train root: ', '99.79')
+('epoch: ', 55, 'V all: ', '91.07', '   Test all: ', '88.86', 'V root: ', '85.83', '   Test root: ', '90.00', '   Train: ', '98.76', '   Train root: ', '99.69')
+('epoch: ', 56, 'V all: ', '91.15', '   Test all: ', '88.70', 'V root: ', '85.83', '   Test root: ', '89.17', '   Train: ', '98.78', '   Train root: ', '99.79')
+('epoch: ', 57, 'V all: ', '91.22', '   Test all: ', '88.78', 'V root: ', '85.83', '   Test root: ', '90.00', '   Train: ', '98.85', '   Train root: ', '99.79')
+('epoch: ', 58, 'V all: ', '90.84', '   Test all: ', '88.78', 'V root: ', '85.83', '   Test root: ', '89.17', '   Train: ', '98.91', '   Train root: ', '99.90')
+('epoch: ', 59, 'V all: ', '91.37', '   Test all: ', '88.62', 'V root: ', '85.83', '   Test root: ', '90.00', '   Train: ', '98.89', '   Train root: ', '99.90')
+('Best valid: ', '91.37', ' Test all: ', '88.62', 'Test root: ', '90.00', '   time: ', 1455.3346920013428)
+
+model LSTM_3_1 :  h_dim =  30  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '86.72', '   Test all: ', '85.28', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '85.52', '   Train root: ', '92.19')
+('epoch: ', 2, 'V all: ', '87.10', '   Test all: ', '85.53', 'V root: ', '86.67', '   Test root: ', '95.00', '   Train: ', '86.10', '   Train root: ', '91.77')
+('epoch: ', 3, 'V all: ', '88.32', '   Test all: ', '86.02', 'V root: ', '90.83', '   Test root: ', '95.83', '   Train: ', '87.10', '   Train root: ', '93.02')
+('epoch: ', 4, 'V all: ', '88.24', '   Test all: ', '87.24', 'V root: ', '90.00', '   Test root: ', '95.83', '   Train: ', '88.12', '   Train root: ', '93.12')
+('epoch: ', 5, 'V all: ', '88.32', '   Test all: ', '87.40', 'V root: ', '87.50', '   Test root: ', '91.67', '   Train: ', '88.94', '   Train root: ', '90.94')
+('epoch: ', 6, 'V all: ', '89.16', '   Test all: ', '87.80', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '89.57', '   Train root: ', '93.33')
+('epoch: ', 7, 'V all: ', '89.16', '   Test all: ', '87.72', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '90.08', '   Train root: ', '92.71')
+('epoch: ', 8, 'V all: ', '89.69', '   Test all: ', '88.21', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '90.50', '   Train root: ', '93.85')
+('epoch: ', 9, 'V all: ', '89.08', '   Test all: ', '88.78', 'V root: ', '84.17', '   Test root: ', '90.00', '   Train: ', '91.10', '   Train root: ', '92.08')
+('epoch: ', 10, 'V all: ', '89.69', '   Test all: ', '88.70', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '91.61', '   Train root: ', '93.96')
+('epoch: ', 11, 'V all: ', '89.85', '   Test all: ', '89.51', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '91.99', '   Train root: ', '94.38')
+('epoch: ', 12, 'V all: ', '90.00', '   Test all: ', '89.35', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '92.47', '   Train root: ', '96.04')
+('epoch: ', 13, 'V all: ', '90.61', '   Test all: ', '89.76', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '93.04', '   Train root: ', '95.10')
+('epoch: ', 14, 'V all: ', '89.85', '   Test all: ', '89.59', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '93.56', '   Train root: ', '95.83')
+('epoch: ', 15, 'V all: ', '90.69', '   Test all: ', '90.16', 'V root: ', '91.67', '   Test root: ', '94.17', '   Train: ', '93.48', '   Train root: ', '96.77')
+('epoch: ', 16, 'V all: ', '90.08', '   Test all: ', '88.78', 'V root: ', '85.83', '   Test root: ', '87.50', '   Train: ', '94.02', '   Train root: ', '95.31')
+('epoch: ', 17, 'V all: ', '90.08', '   Test all: ', '89.27', 'V root: ', '84.17', '   Test root: ', '89.17', '   Train: ', '94.74', '   Train root: ', '95.00')
+('epoch: ', 18, 'V all: ', '91.45', '   Test all: ', '89.67', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '94.84', '   Train root: ', '97.71')
+('epoch: ', 19, 'V all: ', '90.92', '   Test all: ', '89.59', 'V root: ', '90.00', '   Test root: ', '93.33', '   Train: ', '95.07', '   Train root: ', '98.12')
+('epoch: ', 20, 'V all: ', '91.15', '   Test all: ', '89.27', 'V root: ', '90.00', '   Test root: ', '91.67', '   Train: ', '95.58', '   Train root: ', '97.81')
+('epoch: ', 21, 'V all: ', '90.99', '   Test all: ', '89.02', 'V root: ', '89.17', '   Test root: ', '87.50', '   Train: ', '96.03', '   Train root: ', '97.08')
+('epoch: ', 22, 'V all: ', '91.07', '   Test all: ', '88.86', 'V root: ', '89.17', '   Test root: ', '88.33', '   Train: ', '96.30', '   Train root: ', '98.02')
+('epoch: ', 23, 'V all: ', '91.30', '   Test all: ', '88.94', 'V root: ', '89.17', '   Test root: ', '88.33', '   Train: ', '96.55', '   Train root: ', '98.02')
+('Best valid: ', '91.45', ' Test all: ', '89.67', 'Test root: ', '93.33', '   time: ', 594.7678887844086)
+
+model LSTM_3_1 :  h_dim =  50  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '86.56', '   Test all: ', '85.12', 'V root: ', '90.00', '   Test root: ', '91.67', '   Train: ', '85.65', '   Train root: ', '90.94')
+('epoch: ', 2, 'V all: ', '87.94', '   Test all: ', '86.02', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '86.60', '   Train root: ', '91.88')
+('epoch: ', 3, 'V all: ', '88.24', '   Test all: ', '86.26', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '87.44', '   Train root: ', '93.33')
+('epoch: ', 4, 'V all: ', '88.09', '   Test all: ', '86.83', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '88.03', '   Train root: ', '93.12')
+('epoch: ', 5, 'V all: ', '88.17', '   Test all: ', '86.83', 'V root: ', '86.67', '   Test root: ', '90.00', '   Train: ', '88.79', '   Train root: ', '91.67')
+('epoch: ', 6, 'V all: ', '89.08', '   Test all: ', '87.48', 'V root: ', '89.17', '   Test root: ', '92.50', '   Train: ', '89.43', '   Train root: ', '93.23')
+('epoch: ', 7, 'V all: ', '89.16', '   Test all: ', '87.48', 'V root: ', '89.17', '   Test root: ', '90.83', '   Train: ', '90.14', '   Train root: ', '92.40')
+('epoch: ', 8, 'V all: ', '89.31', '   Test all: ', '88.05', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '90.55', '   Train root: ', '93.85')
+('epoch: ', 9, 'V all: ', '89.47', '   Test all: ', '88.54', 'V root: ', '83.33', '   Test root: ', '90.83', '   Train: ', '91.24', '   Train root: ', '92.08')
+('epoch: ', 10, 'V all: ', '89.54', '   Test all: ', '88.37', 'V root: ', '85.00', '   Test root: ', '92.50', '   Train: ', '91.59', '   Train root: ', '93.85')
+('epoch: ', 11, 'V all: ', '89.69', '   Test all: ', '89.35', 'V root: ', '85.00', '   Test root: ', '93.33', '   Train: ', '92.08', '   Train root: ', '94.69')
+('epoch: ', 12, 'V all: ', '89.77', '   Test all: ', '88.46', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '92.33', '   Train root: ', '96.25')
+('epoch: ', 13, 'V all: ', '89.77', '   Test all: ', '89.11', 'V root: ', '85.00', '   Test root: ', '92.50', '   Train: ', '93.08', '   Train root: ', '95.21')
+('epoch: ', 14, 'V all: ', '89.62', '   Test all: ', '89.51', 'V root: ', '85.00', '   Test root: ', '92.50', '   Train: ', '93.40', '   Train root: ', '96.25')
+('epoch: ', 15, 'V all: ', '90.15', '   Test all: ', '89.67', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '93.50', '   Train root: ', '97.50')
+('epoch: ', 16, 'V all: ', '89.92', '   Test all: ', '89.59', 'V root: ', '82.50', '   Test root: ', '91.67', '   Train: ', '94.11', '   Train root: ', '95.94')
+('epoch: ', 17, 'V all: ', '90.23', '   Test all: ', '89.76', 'V root: ', '81.67', '   Test root: ', '90.83', '   Train: ', '94.59', '   Train root: ', '95.52')
+('epoch: ', 18, 'V all: ', '90.23', '   Test all: ', '89.27', 'V root: ', '85.00', '   Test root: ', '91.67', '   Train: ', '94.74', '   Train root: ', '97.92')
+('epoch: ', 19, 'V all: ', '90.31', '   Test all: ', '89.92', 'V root: ', '86.67', '   Test root: ', '93.33', '   Train: ', '94.95', '   Train root: ', '98.02')
+('epoch: ', 20, 'V all: ', '90.31', '   Test all: ', '89.27', 'V root: ', '84.17', '   Test root: ', '92.50', '   Train: ', '95.48', '   Train root: ', '97.71')
+('epoch: ', 21, 'V all: ', '90.38', '   Test all: ', '89.43', 'V root: ', '82.50', '   Test root: ', '90.00', '   Train: ', '95.80', '   Train root: ', '97.71')
+('epoch: ', 22, 'V all: ', '90.61', '   Test all: ', '89.35', 'V root: ', '83.33', '   Test root: ', '90.83', '   Train: ', '95.97', '   Train root: ', '98.12')
+('epoch: ', 23, 'V all: ', '90.76', '   Test all: ', '89.59', 'V root: ', '83.33', '   Test root: ', '90.83', '   Train: ', '96.44', '   Train root: ', '98.54')
+('epoch: ', 24, 'V all: ', '90.53', '   Test all: ', '89.67', 'V root: ', '81.67', '   Test root: ', '90.00', '   Train: ', '96.66', '   Train root: ', '97.71')
+('epoch: ', 25, 'V all: ', '90.76', '   Test all: ', '89.51', 'V root: ', '83.33', '   Test root: ', '90.83', '   Train: ', '96.76', '   Train root: ', '98.33')
+('epoch: ', 26, 'V all: ', '90.69', '   Test all: ', '89.43', 'V root: ', '81.67', '   Test root: ', '90.00', '   Train: ', '96.89', '   Train root: ', '97.81')
+('epoch: ', 27, 'V all: ', '90.38', '   Test all: ', '89.59', 'V root: ', '84.17', '   Test root: ', '90.00', '   Train: ', '97.14', '   Train root: ', '98.65')
+('epoch: ', 28, 'V all: ', '90.69', '   Test all: ', '89.19', 'V root: ', '83.33', '   Test root: ', '89.17', '   Train: ', '97.44', '   Train root: ', '98.75')
+('epoch: ', 29, 'V all: ', '90.61', '   Test all: ', '89.51', 'V root: ', '82.50', '   Test root: ', '90.00', '   Train: ', '97.47', '   Train root: ', '98.75')
+('epoch: ', 30, 'V all: ', '90.76', '   Test all: ', '89.43', 'V root: ', '83.33', '   Test root: ', '89.17', '   Train: ', '97.53', '   Train root: ', '99.38')
+('epoch: ', 31, 'V all: ', '90.61', '   Test all: ', '89.43', 'V root: ', '82.50', '   Test root: ', '87.50', '   Train: ', '97.70', '   Train root: ', '98.85')
+('epoch: ', 32, 'V all: ', '90.46', '   Test all: ', '89.02', 'V root: ', '81.67', '   Test root: ', '87.50', '   Train: ', '97.90', '   Train root: ', '98.54')
+('epoch: ', 33, 'V all: ', '90.92', '   Test all: ', '89.51', 'V root: ', '81.67', '   Test root: ', '87.50', '   Train: ', '98.00', '   Train root: ', '99.06')
+('epoch: ', 34, 'V all: ', '90.53', '   Test all: ', '89.11', 'V root: ', '83.33', '   Test root: ', '87.50', '   Train: ', '98.10', '   Train root: ', '99.38')
+('epoch: ', 35, 'V all: ', '90.15', '   Test all: ', '89.19', 'V root: ', '81.67', '   Test root: ', '86.67', '   Train: ', '98.29', '   Train root: ', '99.06')
+('epoch: ', 36, 'V all: ', '90.23', '   Test all: ', '88.86', 'V root: ', '81.67', '   Test root: ', '88.33', '   Train: ', '98.33', '   Train root: ', '99.48')
+('epoch: ', 37, 'V all: ', '90.76', '   Test all: ', '89.19', 'V root: ', '82.50', '   Test root: ', '87.50', '   Train: ', '98.45', '   Train root: ', '99.69')
+('epoch: ', 38, 'V all: ', '90.46', '   Test all: ', '89.19', 'V root: ', '83.33', '   Test root: ', '88.33', '   Train: ', '98.44', '   Train root: ', '99.69')
+('Best valid: ', '90.92', ' Test all: ', '89.51', 'Test root: ', '87.50', '   time: ', 891.9300169944763)
+
+model LSTM_3_1 :  h_dim =  75  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '87.18', '   Test all: ', '84.88', 'V root: ', '90.83', '   Test root: ', '92.50', '   Train: ', '85.46', '   Train root: ', '91.35')
+('epoch: ', 2, 'V all: ', '87.56', '   Test all: ', '85.69', 'V root: ', '86.67', '   Test root: ', '93.33', '   Train: ', '86.38', '   Train root: ', '91.04')
+('epoch: ', 3, 'V all: ', '88.40', '   Test all: ', '85.93', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '87.03', '   Train root: ', '92.81')
+('epoch: ', 4, 'V all: ', '87.63', '   Test all: ', '86.67', 'V root: ', '90.00', '   Test root: ', '93.33', '   Train: ', '88.01', '   Train root: ', '93.33')
+('epoch: ', 5, 'V all: ', '88.02', '   Test all: ', '87.07', 'V root: ', '86.67', '   Test root: ', '90.00', '   Train: ', '88.68', '   Train root: ', '90.73')
+('epoch: ', 6, 'V all: ', '88.32', '   Test all: ', '87.48', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '89.38', '   Train root: ', '93.02')
+('epoch: ', 7, 'V all: ', '88.85', '   Test all: ', '88.21', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '89.86', '   Train root: ', '93.12')
+('epoch: ', 8, 'V all: ', '88.93', '   Test all: ', '88.37', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '90.56', '   Train root: ', '94.27')
+('epoch: ', 9, 'V all: ', '89.01', '   Test all: ', '88.05', 'V root: ', '84.17', '   Test root: ', '89.17', '   Train: ', '91.23', '   Train root: ', '92.29')
+('epoch: ', 10, 'V all: ', '89.54', '   Test all: ', '88.62', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '91.76', '   Train root: ', '94.79')
+('epoch: ', 11, 'V all: ', '89.85', '   Test all: ', '88.62', 'V root: ', '90.83', '   Test root: ', '91.67', '   Train: ', '92.17', '   Train root: ', '95.31')
+('epoch: ', 12, 'V all: ', '90.23', '   Test all: ', '88.78', 'V root: ', '90.00', '   Test root: ', '93.33', '   Train: ', '92.38', '   Train root: ', '97.08')
+('epoch: ', 13, 'V all: ', '89.85', '   Test all: ', '89.02', 'V root: ', '90.00', '   Test root: ', '90.83', '   Train: ', '93.18', '   Train root: ', '96.04')
+('epoch: ', 14, 'V all: ', '89.69', '   Test all: ', '88.94', 'V root: ', '90.83', '   Test root: ', '90.00', '   Train: ', '93.58', '   Train root: ', '96.25')
+('epoch: ', 15, 'V all: ', '90.61', '   Test all: ', '88.70', 'V root: ', '90.00', '   Test root: ', '92.50', '   Train: ', '93.34', '   Train root: ', '98.02')
+('epoch: ', 16, 'V all: ', '90.00', '   Test all: ', '88.86', 'V root: ', '86.67', '   Test root: ', '86.67', '   Train: ', '94.28', '   Train root: ', '96.46')
+('epoch: ', 17, 'V all: ', '90.23', '   Test all: ', '89.19', 'V root: ', '87.50', '   Test root: ', '87.50', '   Train: ', '94.84', '   Train root: ', '96.46')
+('epoch: ', 18, 'V all: ', '90.92', '   Test all: ', '88.78', 'V root: ', '89.17', '   Test root: ', '90.83', '   Train: ', '94.89', '   Train root: ', '98.33')
+('epoch: ', 19, 'V all: ', '90.84', '   Test all: ', '88.86', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '94.89', '   Train root: ', '98.54')
+('epoch: ', 20, 'V all: ', '90.84', '   Test all: ', '89.11', 'V root: ', '87.50', '   Test root: ', '89.17', '   Train: ', '95.56', '   Train root: ', '98.12')
+('epoch: ', 21, 'V all: ', '90.99', '   Test all: ', '88.78', 'V root: ', '88.33', '   Test root: ', '86.67', '   Train: ', '96.04', '   Train root: ', '98.33')
+('epoch: ', 22, 'V all: ', '90.76', '   Test all: ', '88.62', 'V root: ', '87.50', '   Test root: ', '86.67', '   Train: ', '96.11', '   Train root: ', '98.23')
+('epoch: ', 23, 'V all: ', '91.15', '   Test all: ', '88.94', 'V root: ', '87.50', '   Test root: ', '88.33', '   Train: ', '96.50', '   Train root: ', '98.96')
+('epoch: ', 24, 'V all: ', '90.46', '   Test all: ', '88.86', 'V root: ', '87.50', '   Test root: ', '85.83', '   Train: ', '96.85', '   Train root: ', '98.85')
+('epoch: ', 25, 'V all: ', '91.22', '   Test all: ', '89.02', 'V root: ', '86.67', '   Test root: ', '85.83', '   Train: ', '96.96', '   Train root: ', '98.75')
+('epoch: ', 26, 'V all: ', '90.92', '   Test all: ', '89.19', 'V root: ', '88.33', '   Test root: ', '85.83', '   Train: ', '97.16', '   Train root: ', '98.96')
+('epoch: ', 27, 'V all: ', '90.69', '   Test all: ', '88.78', 'V root: ', '88.33', '   Test root: ', '88.33', '   Train: ', '97.23', '   Train root: ', '99.17')
+('epoch: ', 28, 'V all: ', '91.22', '   Test all: ', '88.78', 'V root: ', '88.33', '   Test root: ', '85.00', '   Train: ', '97.40', '   Train root: ', '99.38')
+('epoch: ', 29, 'V all: ', '91.15', '   Test all: ', '89.02', 'V root: ', '88.33', '   Test root: ', '85.83', '   Train: ', '97.51', '   Train root: ', '98.96')
+('epoch: ', 30, 'V all: ', '91.15', '   Test all: ', '89.02', 'V root: ', '87.50', '   Test root: ', '89.17', '   Train: ', '97.44', '   Train root: ', '99.38')
+('epoch: ', 31, 'V all: ', '90.99', '   Test all: ', '88.94', 'V root: ', '87.50', '   Test root: ', '85.83', '   Train: ', '97.75', '   Train root: ', '99.27')
+('epoch: ', 32, 'V all: ', '91.22', '   Test all: ', '89.02', 'V root: ', '87.50', '   Test root: ', '85.83', '   Train: ', '97.90', '   Train root: ', '99.06')
+('epoch: ', 33, 'V all: ', '91.07', '   Test all: ', '88.94', 'V root: ', '85.00', '   Test root: ', '86.67', '   Train: ', '98.03', '   Train root: ', '99.58')
+('epoch: ', 34, 'V all: ', '91.15', '   Test all: ', '89.19', 'V root: ', '88.33', '   Test root: ', '86.67', '   Train: ', '98.14', '   Train root: ', '99.48')
+('epoch: ', 35, 'V all: ', '91.30', '   Test all: ', '88.62', 'V root: ', '87.50', '   Test root: ', '84.17', '   Train: ', '98.26', '   Train root: ', '99.38')
+('epoch: ', 36, 'V all: ', '91.15', '   Test all: ', '88.70', 'V root: ', '87.50', '   Test root: ', '85.00', '   Train: ', '98.35', '   Train root: ', '99.38')
+('epoch: ', 37, 'V all: ', '91.22', '   Test all: ', '88.86', 'V root: ', '87.50', '   Test root: ', '85.00', '   Train: ', '98.48', '   Train root: ', '99.69')
+('epoch: ', 38, 'V all: ', '91.37', '   Test all: ', '89.11', 'V root: ', '89.17', '   Test root: ', '87.50', '   Train: ', '98.46', '   Train root: ', '99.48')
+('epoch: ', 39, 'V all: ', '91.45', '   Test all: ', '89.11', 'V root: ', '88.33', '   Test root: ', '86.67', '   Train: ', '98.59', '   Train root: ', '99.69')
+('epoch: ', 40, 'V all: ', '91.60', '   Test all: ', '88.94', 'V root: ', '90.00', '   Test root: ', '87.50', '   Train: ', '98.56', '   Train root: ', '99.69')
+('epoch: ', 41, 'V all: ', '91.30', '   Test all: ', '88.94', 'V root: ', '88.33', '   Test root: ', '86.67', '   Train: ', '98.62', '   Train root: ', '99.69')
+('epoch: ', 42, 'V all: ', '91.22', '   Test all: ', '89.02', 'V root: ', '86.67', '   Test root: ', '85.83', '   Train: ', '98.68', '   Train root: ', '99.69')
+('epoch: ', 43, 'V all: ', '91.30', '   Test all: ', '89.02', 'V root: ', '85.83', '   Test root: ', '87.50', '   Train: ', '98.68', '   Train root: ', '99.69')
+('epoch: ', 44, 'V all: ', '91.15', '   Test all: ', '89.02', 'V root: ', '86.67', '   Test root: ', '85.83', '   Train: ', '98.77', '   Train root: ', '99.58')
+('epoch: ', 45, 'V all: ', '91.30', '   Test all: ', '89.27', 'V root: ', '86.67', '   Test root: ', '85.83', '   Train: ', '98.83', '   Train root: ', '99.38')
+('Best valid: ', '91.60', ' Test all: ', '88.94', 'Test root: ', '87.50', '   time: ', 1077.073359966278)
+
+model LSTM_3_1 :  h_dim =  100  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '83.74', '   Test all: ', '82.52', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '82.29', '   Train root: ', '90.83')
+('epoch: ', 1, 'V all: ', '86.56', '   Test all: ', '85.20', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '85.89', '   Train root: ', '90.52')
+('epoch: ', 2, 'V all: ', '87.33', '   Test all: ', '86.10', 'V root: ', '85.83', '   Test root: ', '94.17', '   Train: ', '86.76', '   Train root: ', '91.25')
+('epoch: ', 3, 'V all: ', '87.86', '   Test all: ', '86.10', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '87.42', '   Train root: ', '92.92')
+('epoch: ', 4, 'V all: ', '88.17', '   Test all: ', '86.67', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '88.04', '   Train root: ', '93.12')
+('epoch: ', 5, 'V all: ', '88.17', '   Test all: ', '87.64', 'V root: ', '87.50', '   Test root: ', '91.67', '   Train: ', '88.91', '   Train root: ', '90.73')
+('epoch: ', 6, 'V all: ', '88.17', '   Test all: ', '87.89', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '89.48', '   Train root: ', '93.85')
+('epoch: ', 7, 'V all: ', '88.70', '   Test all: ', '88.05', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '90.23', '   Train root: ', '92.71')
+('epoch: ', 8, 'V all: ', '89.01', '   Test all: ', '88.70', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '90.75', '   Train root: ', '93.75')
+('epoch: ', 9, 'V all: ', '88.70', '   Test all: ', '88.70', 'V root: ', '82.50', '   Test root: ', '90.83', '   Train: ', '91.39', '   Train root: ', '92.19')
+('epoch: ', 10, 'V all: ', '89.16', '   Test all: ', '89.11', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '91.83', '   Train root: ', '95.10')
+('epoch: ', 11, 'V all: ', '89.47', '   Test all: ', '88.94', 'V root: ', '85.00', '   Test root: ', '93.33', '   Train: ', '92.19', '   Train root: ', '95.62')
+('epoch: ', 12, 'V all: ', '89.39', '   Test all: ', '89.11', 'V root: ', '85.83', '   Test root: ', '95.00', '   Train: ', '92.58', '   Train root: ', '96.88')
+('epoch: ', 13, 'V all: ', '89.47', '   Test all: ', '89.02', 'V root: ', '85.00', '   Test root: ', '91.67', '   Train: ', '92.98', '   Train root: ', '95.42')
+('epoch: ', 14, 'V all: ', '89.39', '   Test all: ', '88.70', 'V root: ', '83.33', '   Test root: ', '90.83', '   Train: ', '93.47', '   Train root: ', '96.88')
+('epoch: ', 15, 'V all: ', '90.15', '   Test all: ', '89.11', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '93.30', '   Train root: ', '97.50')
+('epoch: ', 16, 'V all: ', '89.77', '   Test all: ', '88.78', 'V root: ', '84.17', '   Test root: ', '90.00', '   Train: ', '94.22', '   Train root: ', '97.29')
+('epoch: ', 17, 'V all: ', '89.69', '   Test all: ', '88.70', 'V root: ', '81.67', '   Test root: ', '89.17', '   Train: ', '94.77', '   Train root: ', '95.31')
+('epoch: ', 18, 'V all: ', '90.15', '   Test all: ', '88.94', 'V root: ', '85.00', '   Test root: ', '91.67', '   Train: ', '94.75', '   Train root: ', '98.12')
+('epoch: ', 19, 'V all: ', '90.38', '   Test all: ', '89.67', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '94.96', '   Train root: ', '98.33')
+('epoch: ', 20, 'V all: ', '90.15', '   Test all: ', '89.43', 'V root: ', '82.50', '   Test root: ', '91.67', '   Train: ', '95.58', '   Train root: ', '97.92')
+('epoch: ', 21, 'V all: ', '90.23', '   Test all: ', '88.86', 'V root: ', '83.33', '   Test root: ', '88.33', '   Train: ', '96.07', '   Train root: ', '97.92')
+('epoch: ', 22, 'V all: ', '89.92', '   Test all: ', '89.19', 'V root: ', '84.17', '   Test root: ', '90.00', '   Train: ', '96.11', '   Train root: ', '98.12')
+('epoch: ', 23, 'V all: ', '90.38', '   Test all: ', '89.19', 'V root: ', '84.17', '   Test root: ', '89.17', '   Train: ', '96.39', '   Train root: ', '98.54')
+('epoch: ', 24, 'V all: ', '90.46', '   Test all: ', '88.86', 'V root: ', '81.67', '   Test root: ', '90.00', '   Train: ', '96.79', '   Train root: ', '98.23')
+('epoch: ', 25, 'V all: ', '90.61', '   Test all: ', '88.70', 'V root: ', '83.33', '   Test root: ', '90.00', '   Train: ', '96.75', '   Train root: ', '98.23')
+('epoch: ', 26, 'V all: ', '90.38', '   Test all: ', '88.94', 'V root: ', '81.67', '   Test root: ', '90.00', '   Train: ', '96.97', '   Train root: ', '98.33')
+('epoch: ', 27, 'V all: ', '90.69', '   Test all: ', '89.27', 'V root: ', '84.17', '   Test root: ', '91.67', '   Train: ', '97.13', '   Train root: ', '99.27')
+('epoch: ', 28, 'V all: ', '90.76', '   Test all: ', '88.94', 'V root: ', '84.17', '   Test root: ', '90.83', '   Train: ', '97.41', '   Train root: ', '99.17')
+('epoch: ', 29, 'V all: ', '90.99', '   Test all: ', '89.02', 'V root: ', '82.50', '   Test root: ', '90.00', '   Train: ', '97.37', '   Train root: ', '99.17')
+('epoch: ', 30, 'V all: ', '90.92', '   Test all: ', '89.59', 'V root: ', '85.00', '   Test root: ', '92.50', '   Train: ', '97.52', '   Train root: ', '99.38')
+('epoch: ', 31, 'V all: ', '90.46', '   Test all: ', '88.46', 'V root: ', '81.67', '   Test root: ', '87.50', '   Train: ', '97.70', '   Train root: ', '99.27')
+('epoch: ', 32, 'V all: ', '90.69', '   Test all: ', '88.94', 'V root: ', '80.00', '   Test root: ', '88.33', '   Train: ', '97.90', '   Train root: ', '98.85')
+('epoch: ', 33, 'V all: ', '90.76', '   Test all: ', '89.11', 'V root: ', '82.50', '   Test root: ', '89.17', '   Train: ', '97.99', '   Train root: ', '99.48')
+('epoch: ', 34, 'V all: ', '90.99', '   Test all: ', '88.94', 'V root: ', '83.33', '   Test root: ', '88.33', '   Train: ', '98.18', '   Train root: ', '99.48')
+('epoch: ', 35, 'V all: ', '90.84', '   Test all: ', '88.86', 'V root: ', '80.83', '   Test root: ', '87.50', '   Train: ', '98.26', '   Train root: ', '99.27')
+('epoch: ', 36, 'V all: ', '90.61', '   Test all: ', '89.19', 'V root: ', '81.67', '   Test root: ', '88.33', '   Train: ', '98.28', '   Train root: ', '99.27')
+('epoch: ', 37, 'V all: ', '90.84', '   Test all: ', '89.19', 'V root: ', '83.33', '   Test root: ', '88.33', '   Train: ', '98.37', '   Train root: ', '99.38')
+('epoch: ', 38, 'V all: ', '91.22', '   Test all: ', '89.27', 'V root: ', '83.33', '   Test root: ', '90.83', '   Train: ', '98.36', '   Train root: ', '99.58')
+('epoch: ', 39, 'V all: ', '91.45', '   Test all: ', '89.35', 'V root: ', '85.00', '   Test root: ', '91.67', '   Train: ', '98.42', '   Train root: ', '99.58')
+('epoch: ', 40, 'V all: ', '91.37', '   Test all: ', '89.35', 'V root: ', '85.00', '   Test root: ', '92.50', '   Train: ', '98.48', '   Train root: ', '99.58')
+('epoch: ', 41, 'V all: ', '91.07', '   Test all: ', '89.27', 'V root: ', '84.17', '   Test root: ', '90.00', '   Train: ', '98.63', '   Train root: ', '99.69')
+('epoch: ', 42, 'V all: ', '91.07', '   Test all: ', '89.27', 'V root: ', '83.33', '   Test root: ', '90.00', '   Train: ', '98.69', '   Train root: ', '99.69')
+('epoch: ', 43, 'V all: ', '91.07', '   Test all: ', '89.35', 'V root: ', '83.33', '   Test root: ', '91.67', '   Train: ', '98.71', '   Train root: ', '99.69')
+('epoch: ', 44, 'V all: ', '91.22', '   Test all: ', '89.51', 'V root: ', '84.17', '   Test root: ', '90.00', '   Train: ', '98.79', '   Train root: ', '99.69')
+('Best valid: ', '91.45', ' Test all: ', '89.35', 'Test root: ', '91.67', '   time: ', 1150.725282907486)
+
+model LSTM_4 :  h_dim =  10  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '88.17', '   Test all: ', '86.91', 'V root: ', '88.33', '   Test root: ', '90.83', '   Train: ', '87.98', '   Train root: ', '90.62')
+('epoch: ', 1, 'V all: ', '89.01', '   Test all: ', '88.05', 'V root: ', '85.00', '   Test root: ', '89.17', '   Train: ', '90.38', '   Train root: ', '88.85')
+('epoch: ', 2, 'V all: ', '89.54', '   Test all: ', '88.29', 'V root: ', '82.50', '   Test root: ', '92.50', '   Train: ', '92.35', '   Train root: ', '94.17')
+('epoch: ', 3, 'V all: ', '90.69', '   Test all: ', '88.78', 'V root: ', '90.00', '   Test root: ', '88.33', '   Train: ', '94.20', '   Train root: ', '95.62')
+('epoch: ', 4, 'V all: ', '91.07', '   Test all: ', '88.37', 'V root: ', '87.50', '   Test root: ', '82.50', '   Train: ', '95.86', '   Train root: ', '95.52')
+('epoch: ', 5, 'V all: ', '91.15', '   Test all: ', '88.21', 'V root: ', '86.67', '   Test root: ', '81.67', '   Train: ', '97.00', '   Train root: ', '96.88')
+('epoch: ', 6, 'V all: ', '90.69', '   Test all: ', '88.21', 'V root: ', '85.00', '   Test root: ', '85.00', '   Train: ', '97.34', '   Train root: ', '96.88')
+('epoch: ', 7, 'V all: ', '90.76', '   Test all: ', '87.40', 'V root: ', '82.50', '   Test root: ', '81.67', '   Train: ', '97.93', '   Train root: ', '96.77')
+('epoch: ', 8, 'V all: ', '91.30', '   Test all: ', '87.80', 'V root: ', '89.17', '   Test root: ', '86.67', '   Train: ', '98.32', '   Train root: ', '99.48')
+('epoch: ', 9, 'V all: ', '90.53', '   Test all: ', '88.21', 'V root: ', '83.33', '   Test root: ', '84.17', '   Train: ', '98.75', '   Train root: ', '98.23')
+('epoch: ', 10, 'V all: ', '90.69', '   Test all: ', '88.37', 'V root: ', '85.00', '   Test root: ', '87.50', '   Train: ', '98.87', '   Train root: ', '99.79')
+('epoch: ', 11, 'V all: ', '90.23', '   Test all: ', '87.56', 'V root: ', '82.50', '   Test root: ', '83.33', '   Train: ', '99.00', '   Train root: ', '99.17')
+('epoch: ', 12, 'V all: ', '90.38', '   Test all: ', '87.97', 'V root: ', '85.83', '   Test root: ', '85.83', '   Train: ', '99.07', '   Train root: ', '99.90')
+('epoch: ', 13, 'V all: ', '90.46', '   Test all: ', '88.13', 'V root: ', '85.83', '   Test root: ', '86.67', '   Train: ', '99.20', '   Train root: ', '99.48')
+('Best valid: ', '91.30', ' Test all: ', '87.80', 'Test root: ', '86.67', '   time: ', 315.6855812072754)
+
+model LSTM_4 :  h_dim =  30  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '88.47', '   Test all: ', '86.99', 'V root: ', '88.33', '   Test root: ', '91.67', '   Train: ', '88.44', '   Train root: ', '89.90')
+('epoch: ', 1, 'V all: ', '88.93', '   Test all: ', '88.21', 'V root: ', '85.83', '   Test root: ', '88.33', '   Train: ', '91.62', '   Train root: ', '89.69')
+('epoch: ', 2, 'V all: ', '90.31', '   Test all: ', '88.94', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '92.99', '   Train root: ', '93.85')
+('epoch: ', 3, 'V all: ', '90.23', '   Test all: ', '89.51', 'V root: ', '85.83', '   Test root: ', '90.83', '   Train: ', '95.18', '   Train root: ', '96.15')
+('epoch: ', 4, 'V all: ', '90.99', '   Test all: ', '90.41', 'V root: ', '91.67', '   Test root: ', '90.83', '   Train: ', '96.82', '   Train root: ', '96.35')
+('epoch: ', 5, 'V all: ', '91.60', '   Test all: ', '88.86', 'V root: ', '90.00', '   Test root: ', '88.33', '   Train: ', '97.80', '   Train root: ', '98.33')
+('epoch: ', 6, 'V all: ', '91.07', '   Test all: ', '88.78', 'V root: ', '87.50', '   Test root: ', '90.00', '   Train: ', '98.24', '   Train root: ', '98.65')
+('epoch: ', 7, 'V all: ', '91.45', '   Test all: ', '88.62', 'V root: ', '85.83', '   Test root: ', '86.67', '   Train: ', '98.66', '   Train root: ', '98.12')
+('epoch: ', 8, 'V all: ', '91.68', '   Test all: ', '89.59', 'V root: ', '90.83', '   Test root: ', '90.00', '   Train: ', '98.93', '   Train root: ', '99.48')
+('epoch: ', 9, 'V all: ', '91.15', '   Test all: ', '89.35', 'V root: ', '90.83', '   Test root: ', '89.17', '   Train: ', '99.22', '   Train root: ', '99.58')
+('epoch: ', 10, 'V all: ', '91.68', '   Test all: ', '89.43', 'V root: ', '90.00', '   Test root: ', '90.00', '   Train: ', '99.27', '   Train root: ', '99.90')
+('epoch: ', 11, 'V all: ', '91.45', '   Test all: ', '89.19', 'V root: ', '89.17', '   Test root: ', '89.17', '   Train: ', '99.37', '   Train root: ', '99.69')
+('epoch: ', 12, 'V all: ', '91.68', '   Test all: ', '89.35', 'V root: ', '91.67', '   Test root: ', '92.50', '   Train: ', '99.38', '   Train root: ', '100.00')
+('epoch: ', 13, 'V all: ', '91.53', '   Test all: ', '90.08', 'V root: ', '91.67', '   Test root: ', '92.50', '   Train: ', '99.44', '   Train root: ', '99.79')
+('epoch: ', 14, 'V all: ', '91.83', '   Test all: ', '90.33', 'V root: ', '91.67', '   Test root: ', '92.50', '   Train: ', '99.42', '   Train root: ', '100.00')
+('epoch: ', 15, 'V all: ', '91.60', '   Test all: ', '90.00', 'V root: ', '90.00', '   Test root: ', '91.67', '   Train: ', '99.49', '   Train root: ', '99.79')
+('epoch: ', 16, 'V all: ', '91.60', '   Test all: ', '90.16', 'V root: ', '90.00', '   Test root: ', '91.67', '   Train: ', '99.53', '   Train root: ', '100.00')
+('epoch: ', 17, 'V all: ', '91.45', '   Test all: ', '89.67', 'V root: ', '90.00', '   Test root: ', '91.67', '   Train: ', '99.53', '   Train root: ', '100.00')
+('epoch: ', 18, 'V all: ', '91.83', '   Test all: ', '90.00', 'V root: ', '92.50', '   Test root: ', '93.33', '   Train: ', '99.52', '   Train root: ', '100.00')
+('epoch: ', 19, 'V all: ', '91.53', '   Test all: ', '90.00', 'V root: ', '90.83', '   Test root: ', '91.67', '   Train: ', '99.53', '   Train root: ', '100.00')
+('epoch: ', 20, 'V all: ', '91.53', '   Test all: ', '89.92', 'V root: ', '90.00', '   Test root: ', '90.00', '   Train: ', '99.58', '   Train root: ', '100.00')
+('epoch: ', 21, 'V all: ', '91.53', '   Test all: ', '89.84', 'V root: ', '90.83', '   Test root: ', '90.83', '   Train: ', '99.56', '   Train root: ', '100.00')
+('epoch: ', 22, 'V all: ', '91.37', '   Test all: ', '89.92', 'V root: ', '90.00', '   Test root: ', '90.83', '   Train: ', '99.56', '   Train root: ', '100.00')
+('epoch: ', 23, 'V all: ', '91.68', '   Test all: ', '90.08', 'V root: ', '91.67', '   Test root: ', '91.67', '   Train: ', '99.57', '   Train root: ', '100.00')
+('Best valid: ', '91.83', ' Test all: ', '90.00', 'Test root: ', '93.33', '   time: ', 609.1696078777313)
+
+model LSTM_4 :  h_dim =  50  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '87.94', '   Test all: ', '86.59', 'V root: ', '83.33', '   Test root: ', '89.17', '   Train: ', '88.42', '   Train root: ', '89.06')
+('epoch: ', 1, 'V all: ', '88.40', '   Test all: ', '88.70', 'V root: ', '85.83', '   Test root: ', '90.83', '   Train: ', '91.49', '   Train root: ', '89.17')
+('epoch: ', 2, 'V all: ', '90.08', '   Test all: ', '89.67', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '93.23', '   Train root: ', '94.38')
+('epoch: ', 3, 'V all: ', '90.53', '   Test all: ', '89.02', 'V root: ', '87.50', '   Test root: ', '90.00', '   Train: ', '95.70', '   Train root: ', '96.15')
+('epoch: ', 4, 'V all: ', '91.15', '   Test all: ', '89.51', 'V root: ', '85.83', '   Test root: ', '88.33', '   Train: ', '97.01', '   Train root: ', '96.35')
+('epoch: ', 5, 'V all: ', '90.92', '   Test all: ', '89.19', 'V root: ', '82.50', '   Test root: ', '86.67', '   Train: ', '97.91', '   Train root: ', '97.50')
+('epoch: ', 6, 'V all: ', '91.76', '   Test all: ', '88.78', 'V root: ', '90.83', '   Test root: ', '88.33', '   Train: ', '98.15', '   Train root: ', '98.54')
+('epoch: ', 7, 'V all: ', '91.15', '   Test all: ', '88.94', 'V root: ', '83.33', '   Test root: ', '82.50', '   Train: ', '98.71', '   Train root: ', '98.12')
+('epoch: ', 8, 'V all: ', '91.07', '   Test all: ', '89.27', 'V root: ', '83.33', '   Test root: ', '85.83', '   Train: ', '99.04', '   Train root: ', '99.69')
+('epoch: ', 9, 'V all: ', '90.76', '   Test all: ', '89.67', 'V root: ', '81.67', '   Test root: ', '84.17', '   Train: ', '99.16', '   Train root: ', '99.06')
+('epoch: ', 10, 'V all: ', '91.30', '   Test all: ', '89.59', 'V root: ', '86.67', '   Test root: ', '85.00', '   Train: ', '99.29', '   Train root: ', '100.00')
+('epoch: ', 11, 'V all: ', '90.69', '   Test all: ', '89.59', 'V root: ', '84.17', '   Test root: ', '86.67', '   Train: ', '99.33', '   Train root: ', '100.00')
+('Best valid: ', '91.76', ' Test all: ', '88.78', 'Test root: ', '88.33', '   time: ', 298.85792303085327)
+
+model LSTM_4 :  h_dim =  75  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '88.40', '   Test all: ', '86.59', 'V root: ', '90.00', '   Test root: ', '90.83', '   Train: ', '88.39', '   Train root: ', '90.21')
+('epoch: ', 1, 'V all: ', '88.55', '   Test all: ', '88.94', 'V root: ', '83.33', '   Test root: ', '89.17', '   Train: ', '91.55', '   Train root: ', '89.58')
+('epoch: ', 2, 'V all: ', '90.00', '   Test all: ', '88.78', 'V root: ', '87.50', '   Test root: ', '90.00', '   Train: ', '93.12', '   Train root: ', '95.31')
+('epoch: ', 3, 'V all: ', '90.46', '   Test all: ', '88.70', 'V root: ', '85.83', '   Test root: ', '87.50', '   Train: ', '95.66', '   Train root: ', '95.83')
+('epoch: ', 4, 'V all: ', '90.92', '   Test all: ', '89.51', 'V root: ', '87.50', '   Test root: ', '90.83', '   Train: ', '97.19', '   Train root: ', '97.08')
+('epoch: ', 5, 'V all: ', '91.45', '   Test all: ', '89.43', 'V root: ', '87.50', '   Test root: ', '89.17', '   Train: ', '97.91', '   Train root: ', '98.23')
+('epoch: ', 6, 'V all: ', '91.68', '   Test all: ', '89.43', 'V root: ', '90.00', '   Test root: ', '90.83', '   Train: ', '98.20', '   Train root: ', '98.02')
+('epoch: ', 7, 'V all: ', '91.30', '   Test all: ', '89.51', 'V root: ', '85.00', '   Test root: ', '87.50', '   Train: ', '98.67', '   Train root: ', '97.71')
+('epoch: ', 8, 'V all: ', '92.06', '   Test all: ', '89.67', 'V root: ', '87.50', '   Test root: ', '90.00', '   Train: ', '99.03', '   Train root: ', '99.79')
+('epoch: ', 9, 'V all: ', '91.53', '   Test all: ', '90.24', 'V root: ', '86.67', '   Test root: ', '87.50', '   Train: ', '99.22', '   Train root: ', '99.27')
+('epoch: ', 10, 'V all: ', '91.91', '   Test all: ', '89.67', 'V root: ', '85.83', '   Test root: ', '87.50', '   Train: ', '99.23', '   Train root: ', '100.00')
+('epoch: ', 11, 'V all: ', '91.60', '   Test all: ', '89.59', 'V root: ', '85.00', '   Test root: ', '87.50', '   Train: ', '99.29', '   Train root: ', '99.69')
+('epoch: ', 12, 'V all: ', '91.83', '   Test all: ', '89.92', 'V root: ', '89.17', '   Test root: ', '90.00', '   Train: ', '99.36', '   Train root: ', '100.00')
+('epoch: ', 13, 'V all: ', '91.60', '   Test all: ', '90.24', 'V root: ', '86.67', '   Test root: ', '87.50', '   Train: ', '99.44', '   Train root: ', '99.90')
+('Best valid: ', '92.06', ' Test all: ', '89.67', 'Test root: ', '90.00', '   time: ', 360.6535530090332)
+
+model LSTM_4 :  h_dim =  100  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '88.40', '   Test all: ', '86.67', 'V root: ', '85.83', '   Test root: ', '89.17', '   Train: ', '88.53', '   Train root: ', '89.27')
+('epoch: ', 1, 'V all: ', '88.47', '   Test all: ', '89.02', 'V root: ', '82.50', '   Test root: ', '90.00', '   Train: ', '91.46', '   Train root: ', '88.33')
+('epoch: ', 2, 'V all: ', '89.92', '   Test all: ', '88.94', 'V root: ', '86.67', '   Test root: ', '93.33', '   Train: ', '92.85', '   Train root: ', '94.69')
+('epoch: ', 3, 'V all: ', '90.46', '   Test all: ', '88.46', 'V root: ', '85.83', '   Test root: ', '89.17', '   Train: ', '95.33', '   Train root: ', '95.73')
+('epoch: ', 4, 'V all: ', '90.38', '   Test all: ', '88.78', 'V root: ', '81.67', '   Test root: ', '86.67', '   Train: ', '97.00', '   Train root: ', '94.69')
+('epoch: ', 5, 'V all: ', '90.92', '   Test all: ', '89.27', 'V root: ', '82.50', '   Test root: ', '90.00', '   Train: ', '97.70', '   Train root: ', '95.73')
+('epoch: ', 6, 'V all: ', '90.92', '   Test all: ', '89.43', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '98.21', '   Train root: ', '98.65')
+('epoch: ', 7, 'V all: ', '90.76', '   Test all: ', '88.94', 'V root: ', '83.33', '   Test root: ', '87.50', '   Train: ', '98.59', '   Train root: ', '97.60')
+('epoch: ', 8, 'V all: ', '91.30', '   Test all: ', '89.35', 'V root: ', '84.17', '   Test root: ', '91.67', '   Train: ', '98.91', '   Train root: ', '99.38')
+('epoch: ', 9, 'V all: ', '91.68', '   Test all: ', '89.11', 'V root: ', '85.00', '   Test root: ', '87.50', '   Train: ', '99.16', '   Train root: ', '99.48')
+('epoch: ', 10, 'V all: ', '91.68', '   Test all: ', '88.62', 'V root: ', '87.50', '   Test root: ', '90.83', '   Train: ', '99.25', '   Train root: ', '99.79')
+('epoch: ', 11, 'V all: ', '91.68', '   Test all: ', '89.76', 'V root: ', '86.67', '   Test root: ', '90.83', '   Train: ', '99.26', '   Train root: ', '100.00')
+	('epoch: ', 12, 'V all: ', '91.68', '   Test all: ', '89.27', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '99.33', '   Train root: ', '100.00')
+('epoch: ', 13, 'V all: ', '91.68', '   Test all: ', '89.92', 'V root: ', '86.67', '   Test root: ', '90.83', '   Train: ', '99.41', '   Train root: ', '99.90')
+('epoch: ', 14, 'V all: ', '91.91', '   Test all: ', '89.92', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '99.42', '   Train root: ', '100.00')
+('epoch: ', 15, 'V all: ', '91.60', '   Test all: ', '90.49', 'V root: ', '86.67', '   Test root: ', '93.33', '   Train: ', '99.48', '   Train root: ', '99.90')
+('epoch: ', 16, 'V all: ', '91.45', '   Test all: ', '90.00', 'V root: ', '85.00', '   Test root: ', '91.67', '   Train: ', '99.52', '   Train root: ', '100.00')
+('epoch: ', 17, 'V all: ', '91.30', '   Test all: ', '89.92', 'V root: ', '85.00', '   Test root: ', '89.17', '   Train: ', '99.52', '   Train root: ', '100.00')
+('epoch: ', 18, 'V all: ', '92.14', '   Test all: ', '90.08', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '99.49', '   Train root: ', '100.00')
+('epoch: ', 19, 'V all: ', '91.76', '   Test all: ', '89.92', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '99.53', '   Train root: ', '100.00')
+('epoch: ', 20, 'V all: ', '91.60', '   Test all: ', '90.08', 'V root: ', '85.00', '   Test root: ', '90.00', '   Train: ', '99.58', '   Train root: ', '100.00')
+('epoch: ', 21, 'V all: ', '91.60', '   Test all: ', '89.67', 'V root: ', '85.83', '   Test root: ', '91.67', '   Train: ', '99.53', '   Train root: ', '100.00')
+('epoch: ', 22, 'V all: ', '91.76', '   Test all: ', '89.92', 'V root: ', '85.83', '   Test root: ', '90.83', '   Train: ', '99.55', '   Train root: ', '100.00')
+('epoch: ', 23, 'V all: ', '91.53', '   Test all: ', '89.92', 'V root: ', '85.83', '   Test root: ', '92.50', '   Train: ', '99.57', '   Train root: ', '100.00')
+('Best valid: ', '92.14', ' Test all: ', '90.08', 'Test root: ', '94.17', '   time: ', 602.9363598823547)
+
+model LSTM_6_2 :  h_dim =  10  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.87', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '86.49', '   Test all: ', '85.28', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '85.55', '   Train root: ', '91.88')
+('epoch: ', 3, 'V all: ', '87.33', '   Test all: ', '85.53', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '86.46', '   Train root: ', '92.71')
+('epoch: ', 4, 'V all: ', '87.40', '   Test all: ', '86.18', 'V root: ', '90.83', '   Test root: ', '95.83', '   Train: ', '87.08', '   Train root: ', '92.81')
+('epoch: ', 5, 'V all: ', '87.71', '   Test all: ', '87.07', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '88.37', '   Train root: ', '90.21')
+('epoch: ', 6, 'V all: ', '87.86', '   Test all: ', '87.56', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '88.69', '   Train root: ', '93.33')
+('epoch: ', 7, 'V all: ', '88.40', '   Test all: ', '87.56', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '89.36', '   Train root: ', '92.81')
+('epoch: ', 8, 'V all: ', '89.16', '   Test all: ', '88.21', 'V root: ', '90.00', '   Test root: ', '96.67', '   Train: ', '89.92', '   Train root: ', '94.48')
+('epoch: ', 9, 'V all: ', '89.08', '   Test all: ', '87.48', 'V root: ', '80.83', '   Test root: ', '91.67', '   Train: ', '90.64', '   Train root: ', '92.60')
+('epoch: ', 10, 'V all: ', '89.08', '   Test all: ', '87.80', 'V root: ', '85.83', '   Test root: ', '94.17', '   Train: ', '90.87', '   Train root: ', '94.38')
+('epoch: ', 11, 'V all: ', '89.24', '   Test all: ', '87.80', 'V root: ', '85.83', '   Test root: ', '94.17', '   Train: ', '91.22', '   Train root: ', '94.38')
+('epoch: ', 12, 'V all: ', '89.47', '   Test all: ', '87.97', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '91.43', '   Train root: ', '96.04')
+('epoch: ', 13, 'V all: ', '89.47', '   Test all: ', '88.21', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '92.14', '   Train root: ', '94.90')
+('epoch: ', 14, 'V all: ', '89.39', '   Test all: ', '88.05', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '92.62', '   Train root: ', '95.52')
+('epoch: ', 15, 'V all: ', '89.24', '   Test all: ', '88.54', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '92.87', '   Train root: ', '96.25')
+('epoch: ', 16, 'V all: ', '89.01', '   Test all: ', '88.29', 'V root: ', '82.50', '   Test root: ', '89.17', '   Train: ', '93.23', '   Train root: ', '95.42')
+('epoch: ', 17, 'V all: ', '89.47', '   Test all: ', '88.62', 'V root: ', '83.33', '   Test root: ', '90.83', '   Train: ', '93.91', '   Train root: ', '95.73')
+('epoch: ', 18, 'V all: ', '90.00', '   Test all: ', '88.62', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '93.91', '   Train root: ', '97.40')
+('epoch: ', 19, 'V all: ', '89.92', '   Test all: ', '88.70', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '94.18', '   Train root: ', '97.40')
+('epoch: ', 20, 'V all: ', '89.77', '   Test all: ', '88.46', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '94.70', '   Train root: ', '97.50')
+('epoch: ', 21, 'V all: ', '89.77', '   Test all: ', '88.54', 'V root: ', '84.17', '   Test root: ', '90.00', '   Train: ', '95.01', '   Train root: ', '96.77')
+('epoch: ', 22, 'V all: ', '89.85', '   Test all: ', '88.54', 'V root: ', '85.00', '   Test root: ', '91.67', '   Train: ', '95.19', '   Train root: ', '97.29')
+('epoch: ', 23, 'V all: ', '90.23', '   Test all: ', '88.70', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '95.42', '   Train root: ', '97.60')
+('epoch: ', 24, 'V all: ', '89.77', '   Test all: ', '88.21', 'V root: ', '84.17', '   Test root: ', '88.33', '   Train: ', '95.70', '   Train root: ', '97.50')
+('epoch: ', 25, 'V all: ', '89.62', '   Test all: ', '88.29', 'V root: ', '82.50', '   Test root: ', '88.33', '   Train: ', '95.89', '   Train root: ', '97.81')
+('epoch: ', 26, 'V all: ', '89.92', '   Test all: ', '88.13', 'V root: ', '84.17', '   Test root: ', '87.50', '   Train: ', '96.08', '   Train root: ', '97.29')
+('epoch: ', 27, 'V all: ', '90.38', '   Test all: ', '88.21', 'V root: ', '86.67', '   Test root: ', '90.00', '   Train: ', '96.14', '   Train root: ', '98.75')
+('epoch: ', 28, 'V all: ', '90.23', '   Test all: ', '88.13', 'V root: ', '85.83', '   Test root: ', '88.33', '   Train: ', '96.49', '   Train root: ', '98.54')
+('epoch: ', 29, 'V all: ', '90.15', '   Test all: ', '88.46', 'V root: ', '85.00', '   Test root: ', '90.00', '   Train: ', '96.50', '   Train root: ', '98.33')
+('epoch: ', 30, 'V all: ', '89.92', '   Test all: ', '88.62', 'V root: ', '85.00', '   Test root: ', '89.17', '   Train: ', '96.52', '   Train root: ', '98.65')
+('epoch: ', 31, 'V all: ', '89.85', '   Test all: ', '88.21', 'V root: ', '85.83', '   Test root: ', '89.17', '   Train: ', '96.79', '   Train root: ', '99.06')
+('epoch: ', 32, 'V all: ', '90.31', '   Test all: ', '88.62', 'V root: ', '85.00', '   Test root: ', '90.00', '   Train: ', '96.99', '   Train root: ', '98.65')
+('Best valid: ', '90.38', ' Test all: ', '88.21', 'Test root: ', '90.00', '   time: ', 1729.6843469142914)
+
+model LSTM_6_2 :  h_dim =  30  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '86.64', '   Test all: ', '85.28', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '85.48', '   Train root: ', '91.88')
+('epoch: ', 2, 'V all: ', '87.10', '   Test all: ', '85.61', 'V root: ', '86.67', '   Test root: ', '95.00', '   Train: ', '86.10', '   Train root: ', '91.67')
+('epoch: ', 3, 'V all: ', '88.17', '   Test all: ', '86.10', 'V root: ', '90.00', '   Test root: ', '95.83', '   Train: ', '87.07', '   Train root: ', '92.71')
+('epoch: ', 4, 'V all: ', '87.94', '   Test all: ', '87.07', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '88.04', '   Train root: ', '92.81')
+('epoch: ', 5, 'V all: ', '87.94', '   Test all: ', '87.15', 'V root: ', '85.83', '   Test root: ', '91.67', '   Train: ', '88.86', '   Train root: ', '90.52')
+('epoch: ', 6, 'V all: ', '88.55', '   Test all: ', '87.56', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '89.42', '   Train root: ', '92.60')
+('epoch: ', 7, 'V all: ', '88.93', '   Test all: ', '87.64', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '90.06', '   Train root: ', '92.08')
+('epoch: ', 8, 'V all: ', '89.31', '   Test all: ', '88.05', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '90.41', '   Train root: ', '93.44')
+('epoch: ', 9, 'V all: ', '89.16', '   Test all: ', '88.05', 'V root: ', '84.17', '   Test root: ', '89.17', '   Train: ', '91.02', '   Train root: ', '91.67')
+('epoch: ', 10, 'V all: ', '89.69', '   Test all: ', '88.37', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '91.46', '   Train root: ', '93.12')
+('epoch: ', 11, 'V all: ', '89.92', '   Test all: ', '89.11', 'V root: ', '85.00', '   Test root: ', '93.33', '   Train: ', '91.95', '   Train root: ', '94.06')
+('epoch: ', 12, 'V all: ', '90.00', '   Test all: ', '88.62', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '92.37', '   Train root: ', '95.31')
+('epoch: ', 13, 'V all: ', '90.61', '   Test all: ', '89.43', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '92.99', '   Train root: ', '94.48')
+('epoch: ', 14, 'V all: ', '89.62', '   Test all: ', '89.43', 'V root: ', '85.83', '   Test root: ', '90.00', '   Train: ', '93.45', '   Train root: ', '95.21')
+('epoch: ', 15, 'V all: ', '90.38', '   Test all: ', '90.24', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '93.34', '   Train root: ', '96.67')
+('epoch: ', 16, 'V all: ', '90.23', '   Test all: ', '88.70', 'V root: ', '85.00', '   Test root: ', '87.50', '   Train: ', '93.99', '   Train root: ', '94.69')
+('epoch: ', 17, 'V all: ', '90.08', '   Test all: ', '89.11', 'V root: ', '82.50', '   Test root: ', '89.17', '   Train: ', '94.60', '   Train root: ', '94.06')
+('epoch: ', 18, 'V all: ', '91.22', '   Test all: ', '89.76', 'V root: ', '90.00', '   Test root: ', '92.50', '   Train: ', '94.71', '   Train root: ', '97.60')
+('epoch: ', 19, 'V all: ', '90.84', '   Test all: ', '89.84', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '94.97', '   Train root: ', '98.02')
+('epoch: ', 20, 'V all: ', '91.07', '   Test all: ', '89.27', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '95.41', '   Train root: ', '97.19')
+('epoch: ', 21, 'V all: ', '91.15', '   Test all: ', '89.11', 'V root: ', '89.17', '   Test root: ', '88.33', '   Train: ', '96.02', '   Train root: ', '96.67')
+('epoch: ', 22, 'V all: ', '91.07', '   Test all: ', '88.70', 'V root: ', '90.00', '   Test root: ', '88.33', '   Train: ', '96.06', '   Train root: ', '97.29')
+('epoch: ', 23, 'V all: ', '91.30', '   Test all: ', '88.70', 'V root: ', '88.33', '   Test root: ', '87.50', '   Train: ', '96.49', '   Train root: ', '97.71')
+('epoch: ', 24, 'V all: ', '91.22', '   Test all: ', '89.19', 'V root: ', '87.50', '   Test root: ', '89.17', '   Train: ', '96.64', '   Train root: ', '97.60')
+('epoch: ', 25, 'V all: ', '91.37', '   Test all: ', '88.78', 'V root: ', '87.50', '   Test root: ', '87.50', '   Train: ', '96.64', '   Train root: ', '98.23')
+('epoch: ', 26, 'V all: ', '91.15', '   Test all: ', '88.78', 'V root: ', '86.67', '   Test root: ', '85.83', '   Train: ', '96.92', '   Train root: ', '97.50')
+('epoch: ', 27, 'V all: ', '91.07', '   Test all: ', '89.02', 'V root: ', '87.50', '   Test root: ', '89.17', '   Train: ', '96.94', '   Train root: ', '98.75')
+('epoch: ', 28, 'V all: ', '90.99', '   Test all: ', '88.62', 'V root: ', '86.67', '   Test root: ', '86.67', '   Train: ', '97.36', '   Train root: ', '98.75')
+('epoch: ', 29, 'V all: ', '91.45', '   Test all: ', '88.78', 'V root: ', '89.17', '   Test root: ', '87.50', '   Train: ', '97.39', '   Train root: ', '98.85')
+('epoch: ', 30, 'V all: ', '91.30', '   Test all: ', '89.35', 'V root: ', '89.17', '   Test root: ', '90.00', '   Train: ', '97.33', '   Train root: ', '99.06')
+('epoch: ', 31, 'V all: ', '90.92', '   Test all: ', '88.62', 'V root: ', '87.50', '   Test root: ', '87.50', '   Train: ', '97.36', '   Train root: ', '98.96')
+('epoch: ', 32, 'V all: ', '91.07', '   Test all: ', '88.37', 'V root: ', '85.00', '   Test root: ', '84.17', '   Train: ', '97.71', '   Train root: ', '98.23')
+('epoch: ', 33, 'V all: ', '91.30', '   Test all: ', '88.70', 'V root: ', '85.83', '   Test root: ', '86.67', '   Train: ', '97.78', '   Train root: ', '99.27')
+('epoch: ', 34, 'V all: ', '91.30', '   Test all: ', '89.02', 'V root: ', '86.67', '   Test root: ', '87.50', '   Train: ', '97.92', '   Train root: ', '99.27')
+('Best valid: ', '91.45', ' Test all: ', '88.78', 'Test root: ', '87.50', '   time: ', 1449.5331530570984)
+
+model LSTM_6_2 :  h_dim =  50  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '86.56', '   Test all: ', '85.12', 'V root: ', '90.00', '   Test root: ', '91.67', '   Train: ', '85.64', '   Train root: ', '90.94')
+('epoch: ', 2, 'V all: ', '87.71', '   Test all: ', '86.10', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '86.55', '   Train root: ', '91.67')
+('epoch: ', 3, 'V all: ', '88.02', '   Test all: ', '86.26', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '87.31', '   Train root: ', '93.02')
+('epoch: ', 4, 'V all: ', '88.17', '   Test all: ', '86.83', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '87.97', '   Train root: ', '92.92')
+('epoch: ', 5, 'V all: ', '87.86', '   Test all: ', '86.50', 'V root: ', '85.83', '   Test root: ', '89.17', '   Train: ', '88.66', '   Train root: ', '91.04')
+('epoch: ', 6, 'V all: ', '88.55', '   Test all: ', '86.91', 'V root: ', '88.33', '   Test root: ', '91.67', '   Train: ', '89.28', '   Train root: ', '92.71')
+('epoch: ', 7, 'V all: ', '88.40', '   Test all: ', '87.48', 'V root: ', '85.83', '   Test root: ', '90.83', '   Train: ', '89.99', '   Train root: ', '91.88')
+('epoch: ', 8, 'V all: ', '88.85', '   Test all: ', '88.05', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '90.45', '   Train root: ', '93.12')
+('epoch: ', 9, 'V all: ', '89.31', '   Test all: ', '88.05', 'V root: ', '80.83', '   Test root: ', '90.00', '   Train: ', '91.05', '   Train root: ', '91.25')
+('epoch: ', 10, 'V all: ', '89.47', '   Test all: ', '88.46', 'V root: ', '84.17', '   Test root: ', '93.33', '   Train: ', '91.39', '   Train root: ', '92.92')
+('epoch: ', 11, 'V all: ', '89.62', '   Test all: ', '89.19', 'V root: ', '84.17', '   Test root: ', '92.50', '   Train: ', '92.02', '   Train root: ', '94.48')
+('epoch: ', 12, 'V all: ', '90.08', '   Test all: ', '87.97', 'V root: ', '89.17', '   Test root: ', '90.83', '   Train: ', '92.08', '   Train root: ', '95.94')
+('epoch: ', 13, 'V all: ', '89.39', '   Test all: ', '89.19', 'V root: ', '83.33', '   Test root: ', '92.50', '   Train: ', '92.80', '   Train root: ', '94.27')
+('epoch: ', 14, 'V all: ', '89.39', '   Test all: ', '89.43', 'V root: ', '84.17', '   Test root: ', '91.67', '   Train: ', '93.28', '   Train root: ', '95.52')
+('epoch: ', 15, 'V all: ', '89.92', '   Test all: ', '89.43', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '93.28', '   Train root: ', '97.19')
+('epoch: ', 16, 'V all: ', '89.77', '   Test all: ', '89.19', 'V root: ', '81.67', '   Test root: ', '89.17', '   Train: ', '94.01', '   Train root: ', '95.31')
+('epoch: ', 17, 'V all: ', '90.00', '   Test all: ', '89.43', 'V root: ', '79.17', '   Test root: ', '91.67', '   Train: ', '94.45', '   Train root: ', '94.06')
+('Best valid: ', '90.08', ' Test all: ', '87.97', 'Test root: ', '90.83', '   time: ', 678.6966648101807)
+
+
+model LSTM_6_2 :  h_dim =  75  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '87.18', '   Test all: ', '84.88', 'V root: ', '90.83', '   Test root: ', '92.50', '   Train: ', '85.44', '   Train root: ', '91.15')
+('epoch: ', 2, 'V all: ', '87.63', '   Test all: ', '85.69', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '86.38', '   Train root: ', '91.25')
+('epoch: ', 3, 'V all: ', '88.24', '   Test all: ', '85.85', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '86.95', '   Train root: ', '92.60')
+('epoch: ', 4, 'V all: ', '87.71', '   Test all: ', '86.83', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '88.01', '   Train root: ', '93.02')
+('epoch: ', 5, 'V all: ', '87.94', '   Test all: ', '87.24', 'V root: ', '85.83', '   Test root: ', '90.00', '   Train: ', '88.62', '   Train root: ', '90.21')
+('epoch: ', 6, 'V all: ', '88.24', '   Test all: ', '87.15', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '89.22', '   Train root: ', '92.60')
+('epoch: ', 7, 'V all: ', '88.78', '   Test all: ', '87.48', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '89.62', '   Train root: ', '92.50')
+('epoch: ', 8, 'V all: ', '88.63', '   Test all: ', '88.05', 'V root: ', '90.00', '   Test root: ', '93.33', '   Train: ', '90.25', '   Train root: ', '93.23')
+('epoch: ', 9, 'V all: ', '89.01', '   Test all: ', '87.97', 'V root: ', '83.33', '   Test root: ', '88.33', '   Train: ', '91.04', '   Train root: ', '91.46')
+('epoch: ', 10, 'V all: ', '89.31', '   Test all: ', '88.29', 'V root: ', '86.67', '   Test root: ', '90.83', '   Train: ', '91.64', '   Train root: ', '93.96')
+('epoch: ', 11, 'V all: ', '90.08', '   Test all: ', '88.21', 'V root: ', '90.83', '   Test root: ', '90.83', '   Train: ', '92.06', '   Train root: ', '95.10')
+('epoch: ', 12, 'V all: ', '90.15', '   Test all: ', '88.62', 'V root: ', '90.00', '   Test root: ', '91.67', '   Train: ', '92.26', '   Train root: ', '96.77')
+('epoch: ', 13, 'V all: ', '89.69', '   Test all: ', '89.11', 'V root: ', '89.17', '   Test root: ', '90.83', '   Train: ', '92.89', '   Train root: ', '94.90')
+('epoch: ', 14, 'V all: ', '89.92', '   Test all: ', '89.11', 'V root: ', '90.00', '   Test root: ', '89.17', '   Train: ', '93.37', '   Train root: ', '95.52')
+('epoch: ', 15, 'V all: ', '90.61', '   Test all: ', '88.70', 'V root: ', '89.17', '   Test root: ', '92.50', '   Train: ', '93.28', '   Train root: ', '97.81')
+('epoch: ', 16, 'V all: ', '90.38', '   Test all: ', '88.86', 'V root: ', '86.67', '   Test root: ', '86.67', '   Train: ', '94.09', '   Train root: ', '95.62')
+('epoch: ', 17, 'V all: ', '90.46', '   Test all: ', '88.86', 'V root: ', '85.83', '   Test root: ', '85.00', '   Train: ', '94.71', '   Train root: ', '95.62')
+('epoch: ', 18, 'V all: ', '90.92', '   Test all: ', '88.86', 'V root: ', '88.33', '   Test root: ', '90.83', '   Train: ', '94.64', '   Train root: ', '98.12')
+('epoch: ', 19, 'V all: ', '91.15', '   Test all: ', '89.35', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '94.89', '   Train root: ', '98.54')
+('epoch: ', 20, 'V all: ', '90.92', '   Test all: ', '89.11', 'V root: ', '88.33', '   Test root: ', '89.17', '   Train: ', '95.42', '   Train root: ', '97.92')
+('epoch: ', 21, 'V all: ', '90.99', '   Test all: ', '88.78', 'V root: ', '88.33', '   Test root: ', '85.83', '   Train: ', '95.95', '   Train root: ', '97.60')
+('epoch: ', 22, 'V all: ', '90.99', '   Test all: ', '88.54', 'V root: ', '88.33', '   Test root: ', '85.83', '   Train: ', '96.10', '   Train root: ', '98.12')
+('epoch: ', 23, 'V all: ', '91.37', '   Test all: ', '88.86', 'V root: ', '87.50', '   Test root: ', '85.83', '   Train: ', '96.34', '   Train root: ', '98.44')
+('epoch: ', 24, 'V all: ', '90.61', '   Test all: ', '88.86', 'V root: ', '88.33', '   Test root: ', '85.00', '   Train: ', '96.70', '   Train root: ', '98.54')
+('epoch: ', 25, 'V all: ', '91.53', '   Test all: ', '89.02', 'V root: ', '88.33', '   Test root: ', '85.00', '   Train: ', '96.88', '   Train root: ', '98.33')
+('epoch: ', 26, 'V all: ', '90.92', '   Test all: ', '89.19', 'V root: ', '88.33', '   Test root: ', '85.00', '   Train: ', '97.04', '   Train root: ', '98.65')
+('epoch: ', 27, 'V all: ', '90.76', '   Test all: ', '88.62', 'V root: ', '87.50', '   Test root: ', '86.67', '   Train: ', '97.20', '   Train root: ', '98.96')
+('epoch: ', 28, 'V all: ', '90.99', '   Test all: ', '88.78', 'V root: ', '87.50', '   Test root: ', '85.00', '   Train: ', '97.32', '   Train root: ', '99.17')
+('epoch: ', 29, 'V all: ', '90.99', '   Test all: ', '88.94', 'V root: ', '87.50', '   Test root: ', '85.00', '   Train: ', '97.43', '   Train root: ', '98.65')
+('epoch: ', 30, 'V all: ', '91.15', '   Test all: ', '89.27', 'V root: ', '87.50', '   Test root: ', '89.17', '   Train: ', '97.30', '   Train root: ', '99.27')
+('Best valid: ', '91.53', ' Test all: ', '89.02', 'Test root: ', '85.00', '   time: ', 1075.7184150218964)
+
+model LSTM_6_2 :  h_dim =  100  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '83.74', '   Test all: ', '82.52', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '82.29', '   Train root: ', '90.83')
+('epoch: ', 1, 'V all: ', '86.34', '   Test all: ', '85.20', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '85.85', '   Train root: ', '90.31')
+('epoch: ', 2, 'V all: ', '87.25', '   Test all: ', '86.02', 'V root: ', '85.00', '   Test root: ', '94.17', '   Train: ', '86.69', '   Train root: ', '91.25')
+('epoch: ', 3, 'V all: ', '87.86', '   Test all: ', '85.93', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '87.37', '   Train root: ', '92.71')
+('epoch: ', 4, 'V all: ', '87.86', '   Test all: ', '86.67', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '87.90', '   Train root: ', '92.40')
+('epoch: ', 5, 'V all: ', '87.94', '   Test all: ', '87.64', 'V root: ', '85.00', '   Test root: ', '90.83', '   Train: ', '88.84', '   Train root: ', '89.79')
+('epoch: ', 6, 'V all: ', '88.17', '   Test all: ', '87.32', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '89.31', '   Train root: ', '93.12')
+('epoch: ', 7, 'V all: ', '88.32', '   Test all: ', '87.72', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '90.05', '   Train root: ', '91.77')
+('epoch: ', 8, 'V all: ', '88.85', '   Test all: ', '88.29', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '90.69', '   Train root: ', '93.33')
+('epoch: ', 9, 'V all: ', '88.63', '   Test all: ', '88.70', 'V root: ', '80.00', '   Test root: ', '90.00', '   Train: ', '91.25', '   Train root: ', '91.25')
+('epoch: ', 10, 'V all: ', '88.93', '   Test all: ', '88.70', 'V root: ', '83.33', '   Test root: ', '92.50', '   Train: ', '91.63', '   Train root: ', '94.38')
+('epoch: ', 11, 'V all: ', '89.47', '   Test all: ', '88.37', 'V root: ', '84.17', '   Test root: ', '90.83', '   Train: ', '92.10', '   Train root: ', '94.90')
+('epoch: ', 12, 'V all: ', '89.62', '   Test all: ', '88.94', 'V root: ', '85.83', '   Test root: ', '94.17', '   Train: ', '92.37', '   Train root: ', '96.56')
+('epoch: ', 13, 'V all: ', '89.31', '   Test all: ', '89.02', 'V root: ', '84.17', '   Test root: ', '90.00', '   Train: ', '92.99', '   Train root: ', '94.79')
+('epoch: ', 14, 'V all: ', '89.24', '   Test all: ', '89.11', 'V root: ', '83.33', '   Test root: ', '91.67', '   Train: ', '93.34', '   Train root: ', '96.15')
+('epoch: ', 15, 'V all: ', '90.00', '   Test all: ', '89.11', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '93.20', '   Train root: ', '97.40')
+('epoch: ', 16, 'V all: ', '89.54', '   Test all: ', '88.70', 'V root: ', '82.50', '   Test root: ', '90.00', '   Train: ', '94.12', '   Train root: ', '96.88')
+('epoch: ', 17, 'V all: ', '89.77', '   Test all: ', '88.70', 'V root: ', '79.17', '   Test root: ', '88.33', '   Train: ', '94.71', '   Train root: ', '94.17')
+('epoch: ', 18, 'V all: ', '90.15', '   Test all: ', '88.70', 'V root: ', '85.00', '   Test root: ', '90.83', '   Train: ', '94.62', '   Train root: ', '97.92')
+('epoch: ', 19, 'V all: ', '90.61', '   Test all: ', '89.59', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '94.81', '   Train root: ', '98.12')
+('epoch: ', 20, 'V all: ', '90.69', '   Test all: ', '89.59', 'V root: ', '82.50', '   Test root: ', '90.83', '   Train: ', '95.52', '   Train root: ', '97.81')
+('epoch: ', 21, 'V all: ', '90.15', '   Test all: ', '88.94', 'V root: ', '82.50', '   Test root: ', '90.00', '   Train: ', '96.09', '   Train root: ', '97.71')
+('epoch: ', 22, 'V all: ', '90.08', '   Test all: ', '89.19', 'V root: ', '82.50', '   Test root: ', '90.00', '   Train: ', '96.07', '   Train root: ', '98.02')
+('epoch: ', 23, 'V all: ', '90.69', '   Test all: ', '88.86', 'V root: ', '82.50', '   Test root: ', '90.00', '   Train: ', '96.30', '   Train root: ', '98.33')
+('epoch: ', 24, 'V all: ', '90.38', '   Test all: ', '88.78', 'V root: ', '80.83', '   Test root: ', '90.00', '   Train: ', '96.66', '   Train root: ', '98.12')
+('epoch: ', 25, 'V all: ', '90.53', '   Test all: ', '88.86', 'V root: ', '80.83', '   Test root: ', '90.83', '   Train: ', '96.76', '   Train root: ', '98.23')
+('epoch: ', 26, 'V all: ', '90.15', '   Test all: ', '89.11', 'V root: ', '79.17', '   Test root: ', '89.17', '   Train: ', '96.89', '   Train root: ', '98.12')
+('epoch: ', 27, 'V all: ', '90.84', '   Test all: ', '89.27', 'V root: ', '83.33', '   Test root: ', '90.83', '   Train: ', '97.09', '   Train root: ', '99.27')
+('epoch: ', 28, 'V all: ', '90.99', '   Test all: ', '88.86', 'V root: ', '81.67', '   Test root: ', '90.00', '   Train: ', '97.31', '   Train root: ', '98.96')
+('epoch: ', 29, 'V all: ', '90.92', '   Test all: ', '88.86', 'V root: ', '81.67', '   Test root: ', '90.00', '   Train: ', '97.38', '   Train root: ', '99.27')
+('epoch: ', 30, 'V all: ', '91.22', '   Test all: ', '89.51', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '97.47', '   Train root: ', '99.27')
+('epoch: ', 31, 'V all: ', '90.53', '   Test all: ', '88.86', 'V root: ', '80.00', '   Test root: ', '89.17', '   Train: ', '97.61', '   Train root: ', '99.17')
+('epoch: ', 32, 'V all: ', '90.76', '   Test all: ', '88.62', 'V root: ', '79.17', '   Test root: ', '88.33', '   Train: ', '97.85', '   Train root: ', '98.96')
+('epoch: ', 33, 'V all: ', '91.07', '   Test all: ', '89.19', 'V root: ', '81.67', '   Test root: ', '90.00', '   Train: ', '97.97', '   Train root: ', '99.48')
+('epoch: ', 34, 'V all: ', '90.92', '   Test all: ', '88.94', 'V root: ', '81.67', '   Test root: ', '90.00', '   Train: ', '98.04', '   Train root: ', '99.38')
+('epoch: ', 35, 'V all: ', '90.69', '   Test all: ', '88.78', 'V root: ', '78.33', '   Test root: ', '88.33', '   Train: ', '98.17', '   Train root: ', '99.06')
+('Best valid: ', '91.22', ' Test all: ', '89.51', 'Test root: ', '91.67', '   time: ', 1694.9895040988922)
+
+model LSTM_7 :  h_dim =  10  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '84.27', '   Test all: ', '83.09', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '82.89', '   Train root: ', '91.15')
+('epoch: ', 4, 'V all: ', '86.87', '   Test all: ', '85.20', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '85.13', '   Train root: ', '91.56')
+('epoch: ', 5, 'V all: ', '87.02', '   Test all: ', '85.69', 'V root: ', '87.50', '   Test root: ', '91.67', '   Train: ', '85.79', '   Train root: ', '89.48')
+('epoch: ', 6, 'V all: ', '87.02', '   Test all: ', '85.61', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '86.28', '   Train root: ', '91.98')
+('epoch: ', 7, 'V all: ', '87.18', '   Test all: ', '86.10', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '86.73', '   Train root: ', '91.04')
+('epoch: ', 8, 'V all: ', '87.79', '   Test all: ', '85.69', 'V root: ', '90.83', '   Test root: ', '95.83', '   Train: ', '87.14', '   Train root: ', '93.44')
+('epoch: ', 9, 'V all: ', '87.02', '   Test all: ', '86.91', 'V root: ', '85.00', '   Test root: ', '95.00', '   Train: ', '87.69', '   Train root: ', '90.21')
+('epoch: ', 10, 'V all: ', '87.56', '   Test all: ', '86.91', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '88.09', '   Train root: ', '91.98')
+('epoch: ', 11, 'V all: ', '87.79', '   Test all: ', '87.15', 'V root: ', '89.17', '   Test root: ', '96.67', '   Train: ', '88.47', '   Train root: ', '92.81')
+('epoch: ', 12, 'V all: ', '87.63', '   Test all: ', '87.07', 'V root: ', '90.00', '   Test root: ', '97.50', '   Train: ', '88.55', '   Train root: ', '93.96')
+('epoch: ', 13, 'V all: ', '88.09', '   Test all: ', '87.24', 'V root: ', '86.67', '   Test root: ', '95.00', '   Train: ', '89.28', '   Train root: ', '92.40')
+('epoch: ', 14, 'V all: ', '88.09', '   Test all: ', '87.24', 'V root: ', '85.83', '   Test root: ', '92.50', '   Train: ', '89.41', '   Train root: ', '92.29')
+('epoch: ', 15, 'V all: ', '88.24', '   Test all: ', '86.99', 'V root: ', '90.83', '   Test root: ', '95.83', '   Train: ', '89.47', '   Train root: ', '94.06')
+('epoch: ', 16, 'V all: ', '88.32', '   Test all: ', '86.91', 'V root: ', '85.83', '   Test root: ', '90.83', '   Train: ', '89.90', '   Train root: ', '92.81')
+('epoch: ', 17, 'V all: ', '88.24', '   Test all: ', '87.56', 'V root: ', '82.50', '   Test root: ', '89.17', '   Train: ', '90.21', '   Train root: ', '91.98')
+('epoch: ', 18, 'V all: ', '88.32', '   Test all: ', '87.07', 'V root: ', '85.83', '   Test root: ', '94.17', '   Train: ', '90.31', '   Train root: ', '94.38')
+('epoch: ', 19, 'V all: ', '89.01', '   Test all: ', '87.32', 'V root: ', '90.00', '   Test root: ', '92.50', '   Train: ', '90.45', '   Train root: ', '94.27')
+('epoch: ', 20, 'V all: ', '88.32', '   Test all: ', '87.72', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '90.63', '   Train root: ', '94.27')
+('epoch: ', 21, 'V all: ', '88.17', '   Test all: ', '87.64', 'V root: ', '84.17', '   Test root: ', '90.00', '   Train: ', '91.01', '   Train root: ', '93.96')
+('epoch: ', 22, 'V all: ', '88.17', '   Test all: ', '87.64', 'V root: ', '84.17', '   Test root: ', '90.00', '   Train: ', '91.03', '   Train root: ', '94.69')
+('epoch: ', 23, 'V all: ', '88.55', '   Test all: ', '87.72', 'V root: ', '85.00', '   Test root: ', '90.00', '   Train: ', '91.44', '   Train root: ', '95.10')
+('epoch: ', 24, 'V all: ', '88.09', '   Test all: ', '87.56', 'V root: ', '81.67', '   Test root: ', '89.17', '   Train: ', '91.74', '   Train root: ', '94.38')
+('Best valid: ', '89.01', ' Test all: ', '87.32', 'Test root: ', '92.50', '   time: ', 808.1746711730957)
+
+model LSTM_7 :  h_dim =  30  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '85.65', '   Test all: ', '84.07', 'V root: ', '92.50', '   Test root: ', '94.17', '   Train: ', '84.28', '   Train root: ', '90.42')
+('epoch: ', 3, 'V all: ', '87.18', '   Test all: ', '85.04', 'V root: ', '93.33', '   Test root: ', '95.83', '   Train: ', '85.43', '   Train root: ', '92.19')
+('epoch: ', 4, 'V all: ', '87.25', '   Test all: ', '85.37', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '85.84', '   Train root: ', '90.83')
+('epoch: ', 5, 'V all: ', '86.56', '   Test all: ', '85.77', 'V root: ', '82.50', '   Test root: ', '90.00', '   Train: ', '86.03', '   Train root: ', '88.65')
+('epoch: ', 6, 'V all: ', '87.63', '   Test all: ', '86.02', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '86.60', '   Train root: ', '92.40')
+('epoch: ', 7, 'V all: ', '87.25', '   Test all: ', '86.10', 'V root: ', '85.00', '   Test root: ', '92.50', '   Train: ', '86.87', '   Train root: ', '90.31')
+('epoch: ', 8, 'V all: ', '88.09', '   Test all: ', '86.42', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '87.39', '   Train root: ', '91.46')
+('epoch: ', 9, 'V all: ', '87.25', '   Test all: ', '86.50', 'V root: ', '84.17', '   Test root: ', '90.00', '   Train: ', '87.64', '   Train root: ', '88.33')
+('epoch: ', 10, 'V all: ', '87.63', '   Test all: ', '86.42', 'V root: ', '86.67', '   Test root: ', '90.00', '   Train: ', '87.92', '   Train root: ', '91.15')
+('epoch: ', 11, 'V all: ', '87.94', '   Test all: ', '86.67', 'V root: ', '90.00', '   Test root: ', '90.00', '   Train: ', '88.06', '   Train root: ', '91.56')
+('epoch: ', 12, 'V all: ', '88.02', '   Test all: ', '86.42', 'V root: ', '90.00', '   Test root: ', '91.67', '   Train: ', '88.67', '   Train root: ', '92.71')
+('epoch: ', 13, 'V all: ', '88.02', '   Test all: ', '86.99', 'V root: ', '85.00', '   Test root: ', '90.00', '   Train: ', '88.86', '   Train root: ', '90.42')
+('Best valid: ', '88.09', ' Test all: ', '86.42', 'Test root: ', '95.00', '   time: ', 398.81010818481445)
+
+model LSTM_7 :  h_dim =  50  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.85', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '86.49', '   Test all: ', '84.63', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '84.68', '   Train root: ', '90.94')
+('epoch: ', 3, 'V all: ', '87.25', '   Test all: ', '85.04', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '85.35', '   Train root: ', '90.73')
+('epoch: ', 4, 'V all: ', '87.25', '   Test all: ', '85.85', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '85.85', '   Train root: ', '90.52')
+('epoch: ', 5, 'V all: ', '86.87', '   Test all: ', '85.93', 'V root: ', '85.00', '   Test root: ', '90.83', '   Train: ', '86.47', '   Train root: ', '88.96')
+('epoch: ', 6, 'V all: ', '87.71', '   Test all: ', '86.26', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '86.89', '   Train root: ', '92.40')
+('epoch: ', 7, 'V all: ', '87.71', '   Test all: ', '86.26', 'V root: ', '88.33', '   Test root: ', '91.67', '   Train: ', '87.16', '   Train root: ', '91.04')
+('epoch: ', 8, 'V all: ', '88.32', '   Test all: ', '86.10', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '87.57', '   Train root: ', '92.50')
+('epoch: ', 9, 'V all: ', '87.40', '   Test all: ', '86.34', 'V root: ', '85.83', '   Test root: ', '90.00', '   Train: ', '87.69', '   Train root: ', '88.85')
+('epoch: ', 10, 'V all: ', '87.86', '   Test all: ', '86.10', 'V root: ', '89.17', '   Test root: ', '90.83', '   Train: ', '88.00', '   Train root: ', '91.46')
+('epoch: ', 11, 'V all: ', '88.09', '   Test all: ', '85.93', 'V root: ', '90.00', '   Test root: ', '90.83', '   Train: ', '88.25', '   Train root: ', '91.88')
+('epoch: ', 12, 'V all: ', '88.32', '   Test all: ', '86.10', 'V root: ', '90.00', '   Test root: ', '91.67', '   Train: ', '88.56', '   Train root: ', '93.12')
+('epoch: ', 13, 'V all: ', '87.86', '   Test all: ', '86.50', 'V root: ', '85.83', '   Test root: ', '89.17', '   Train: ', '88.79', '   Train root: ', '90.42')
+('epoch: ', 14, 'V all: ', '87.40', '   Test all: ', '86.18', 'V root: ', '85.00', '   Test root: ', '86.67', '   Train: ', '88.98', '   Train root: ', '91.15')
+('epoch: ', 15, 'V all: ', '88.78', '   Test all: ', '86.18', 'V root: ', '90.83', '   Test root: ', '91.67', '   Train: ', '89.13', '   Train root: ', '93.75')
+('epoch: ', 16, 'V all: ', '88.32', '   Test all: ', '87.07', 'V root: ', '85.83', '   Test root: ', '89.17', '   Train: ', '89.54', '   Train root: ', '91.67')
+('epoch: ', 17, 'V all: ', '87.94', '   Test all: ', '87.64', 'V root: ', '81.67', '   Test root: ', '87.50', '   Train: ', '89.84', '   Train root: ', '90.52')
+('epoch: ', 18, 'V all: ', '88.78', '   Test all: ', '87.56', 'V root: ', '90.83', '   Test root: ', '92.50', '   Train: ', '89.99', '   Train root: ', '93.54')
+('epoch: ', 19, 'V all: ', '88.63', '   Test all: ', '87.15', 'V root: ', '89.17', '   Test root: ', '90.83', '   Train: ', '90.08', '   Train root: ', '93.65')
+('epoch: ', 20, 'V all: ', '88.78', '   Test all: ', '87.56', 'V root: ', '86.67', '   Test root: ', '89.17', '   Train: ', '90.52', '   Train root: ', '92.60')
+('epoch: ', 21, 'V all: ', '88.47', '   Test all: ', '87.89', 'V root: ', '83.33', '   Test root: ', '88.33', '   Train: ', '90.89', '   Train root: ', '92.60')
+('epoch: ', 22, 'V all: ', '88.47', '   Test all: ', '87.72', 'V root: ', '84.17', '   Test root: ', '87.50', '   Train: ', '90.93', '   Train root: ', '92.81')
+('epoch: ', 23, 'V all: ', '89.01', '   Test all: ', '87.72', 'V root: ', '85.00', '   Test root: ', '88.33', '   Train: ', '91.29', '   Train root: ', '93.54')
+('epoch: ', 24, 'V all: ', '88.55', '   Test all: ', '88.37', 'V root: ', '80.83', '   Test root: ', '86.67', '   Train: ', '91.54', '   Train root: ', '91.88')
+('epoch: ', 25, 'V all: ', '88.85', '   Test all: ', '88.21', 'V root: ', '85.00', '   Test root: ', '90.83', '   Train: ', '91.63', '   Train root: ', '94.58')
+('epoch: ', 26, 'V all: ', '88.47', '   Test all: ', '88.54', 'V root: ', '81.67', '   Test root: ', '85.83', '   Train: ', '91.84', '   Train root: ', '91.98')
+('epoch: ', 27, 'V all: ', '89.01', '   Test all: ', '88.78', 'V root: ', '85.83', '   Test root: ', '90.83', '   Train: ', '92.11', '   Train root: ', '94.79')
+('epoch: ', 28, 'V all: ', '88.93', '   Test all: ', '88.62', 'V root: ', '85.00', '   Test root: ', '87.50', '   Train: ', '92.26', '   Train root: ', '94.69')
+('epoch: ', 29, 'V all: ', '89.24', '   Test all: ', '88.62', 'V root: ', '86.67', '   Test root: ', '89.17', '   Train: ', '92.50', '   Train root: ', '95.10')
+('epoch: ', 30, 'V all: ', '89.54', '   Test all: ', '88.70', 'V root: ', '92.50', '   Test root: ', '94.17', '   Train: ', '92.55', '   Train root: ', '96.25')
+('epoch: ', 31, 'V all: ', '89.24', '   Test all: ', '88.37', 'V root: ', '85.83', '   Test root: ', '89.17', '   Train: ', '92.53', '   Train root: ', '95.94')
+('epoch: ', 32, 'V all: ', '89.31', '   Test all: ', '88.46', 'V root: ', '85.00', '   Test root: ', '87.50', '   Train: ', '92.96', '   Train root: ', '94.90')
+('epoch: ', 33, 'V all: ', '89.62', '   Test all: ', '88.70', 'V root: ', '88.33', '   Test root: ', '90.00', '   Train: ', '93.06', '   Train root: ', '96.77')
+('epoch: ', 34, 'V all: ', '89.77', '   Test all: ', '88.94', 'V root: ', '86.67', '   Test root: ', '89.17', '   Train: ', '93.31', '   Train root: ', '96.04')
+('epoch: ', 35, 'V all: ', '89.85', '   Test all: ', '89.02', 'V root: ', '85.83', '   Test root: ', '88.33', '   Train: ', '93.64', '   Train root: ', '95.00')
+('epoch: ', 36, 'V all: ', '89.85', '   Test all: ', '88.70', 'V root: ', '85.83', '   Test root: ', '89.17', '   Train: ', '93.78', '   Train root: ', '95.21')
+('epoch: ', 37, 'V all: ', '89.54', '   Test all: ', '89.11', 'V root: ', '86.67', '   Test root: ', '88.33', '   Train: ', '93.92', '   Train root: ', '96.77')
+('epoch: ', 38, 'V all: ', '90.31', '   Test all: ', '88.86', 'V root: ', '88.33', '   Test root: ', '89.17', '   Train: ', '94.07', '   Train root: ', '96.67')
+('epoch: ', 39, 'V all: ', '90.00', '   Test all: ', '89.27', 'V root: ', '86.67', '   Test root: ', '90.83', '   Train: ', '94.12', '   Train root: ', '96.98')
+('epoch: ', 40, 'V all: ', '90.15', '   Test all: ', '89.02', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '94.18', '   Train root: ', '97.29')
+('epoch: ', 41, 'V all: ', '90.31', '   Test all: ', '89.27', 'V root: ', '88.33', '   Test root: ', '90.83', '   Train: ', '94.42', '   Train root: ', '97.29')
+('epoch: ', 42, 'V all: ', '90.15', '   Test all: ', '89.11', 'V root: ', '87.50', '   Test root: ', '90.83', '   Train: ', '94.81', '   Train root: ', '97.19')
+('epoch: ', 43, 'V all: ', '90.61', '   Test all: ', '88.78', 'V root: ', '87.50', '   Test root: ', '88.33', '   Train: ', '94.95', '   Train root: ', '97.29')
+('epoch: ', 44, 'V all: ', '90.61', '   Test all: ', '88.62', 'V root: ', '87.50', '   Test root: ', '88.33', '   Train: ', '95.15', '   Train root: ', '97.50')
+('epoch: ', 45, 'V all: ', '90.46', '   Test all: ', '88.62', 'V root: ', '86.67', '   Test root: ', '86.67', '   Train: ', '95.22', '   Train root: ', '97.19')
+('epoch: ', 46, 'V all: ', '90.15', '   Test all: ', '88.70', 'V root: ', '85.83', '   Test root: ', '85.00', '   Train: ', '95.52', '   Train root: ', '97.08')
+('epoch: ', 47, 'V all: ', '90.23', '   Test all: ', '88.46', 'V root: ', '85.00', '   Test root: ', '84.17', '   Train: ', '95.78', '   Train root: ', '97.19')
+('epoch: ', 48, 'V all: ', '90.84', '   Test all: ', '88.70', 'V root: ', '88.33', '   Test root: ', '88.33', '   Train: ', '95.80', '   Train root: ', '97.81')
+('epoch: ', 49, 'V all: ', '90.61', '   Test all: ', '88.94', 'V root: ', '87.50', '   Test root: ', '89.17', '   Train: ', '95.80', '   Train root: ', '97.92')
+('epoch: ', 50, 'V all: ', '90.46', '   Test all: ', '89.27', 'V root: ', '88.33', '   Test root: ', '90.00', '   Train: ', '96.03', '   Train root: ', '97.60')
+('epoch: ', 51, 'V all: ', '90.84', '   Test all: ', '88.86', 'V root: ', '88.33', '   Test root: ', '86.67', '   Train: ', '96.26', '   Train root: ', '98.02')
+('epoch: ', 52, 'V all: ', '90.46', '   Test all: ', '89.11', 'V root: ', '87.50', '   Test root: ', '89.17', '   Train: ', '96.26', '   Train root: ', '98.33')
+('epoch: ', 53, 'V all: ', '90.69', '   Test all: ', '88.21', 'V root: ', '86.67', '   Test root: ', '83.33', '   Train: ', '96.43', '   Train root: ', '98.12')
+('epoch: ', 54, 'V all: ', '90.76', '   Test all: ', '88.37', 'V root: ', '86.67', '   Test root: ', '83.33', '   Train: ', '96.78', '   Train root: ', '98.23')
+('epoch: ', 55, 'V all: ', '90.38', '   Test all: ', '88.62', 'V root: ', '87.50', '   Test root: ', '86.67', '   Train: ', '96.71', '   Train root: ', '98.12')
+('epoch: ', 56, 'V all: ', '90.76', '   Test all: ', '88.70', 'V root: ', '88.33', '   Test root: ', '88.33', '   Train: ', '96.76', '   Train root: ', '98.65')
+('Best valid: ', '90.84', ' Test all: ', '88.86', 'Test root: ', '86.67', '   time: ', 1929.0709722042084)
+
+model LSTM_7 :  h_dim =  75  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.85', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '86.26', '   Test all: ', '84.31', 'V root: ', '91.67', '   Test root: ', '91.67', '   Train: ', '84.44', '   Train root: ', '89.38')
+('epoch: ', 3, 'V all: ', '87.33', '   Test all: ', '84.80', 'V root: ', '91.67', '   Test root: ', '93.33', '   Train: ', '85.44', '   Train root: ', '91.46')
+('epoch: ', 4, 'V all: ', '86.95', '   Test all: ', '85.28', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '85.89', '   Train root: ', '90.73')
+('epoch: ', 5, 'V all: ', '87.18', '   Test all: ', '86.10', 'V root: ', '84.17', '   Test root: ', '91.67', '   Train: ', '86.27', '   Train root: ', '88.65')
+('epoch: ', 6, 'V all: ', '88.02', '   Test all: ', '85.85', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '86.61', '   Train root: ', '91.67')
+('epoch: ', 7, 'V all: ', '87.56', '   Test all: ', '85.85', 'V root: ', '88.33', '   Test root: ', '91.67', '   Train: ', '86.79', '   Train root: ', '90.21')
+('epoch: ', 8, 'V all: ', '88.32', '   Test all: ', '86.18', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '87.44', '   Train root: ', '91.98')
+('epoch: ', 9, 'V all: ', '87.79', '   Test all: ', '86.26', 'V root: ', '85.00', '   Test root: ', '90.00', '   Train: ', '87.58', '   Train root: ', '88.54')
+('epoch: ', 10, 'V all: ', '88.32', '   Test all: ', '86.34', 'V root: ', '89.17', '   Test root: ', '90.83', '   Train: ', '87.78', '   Train root: ', '91.15')
+('epoch: ', 11, 'V all: ', '88.32', '   Test all: ', '86.34', 'V root: ', '89.17', '   Test root: ', '90.83', '   Train: ', '88.18', '   Train root: ', '91.46')
+('epoch: ', 12, 'V all: ', '87.94', '   Test all: ', '85.93', 'V root: ', '88.33', '   Test root: ', '90.83', '   Train: ', '88.40', '   Train root: ', '92.19')
+('epoch: ', 13, 'V all: ', '87.94', '   Test all: ', '87.15', 'V root: ', '85.83', '   Test root: ', '90.00', '   Train: ', '88.90', '   Train root: ', '90.62')
+('epoch: ', 14, 'V all: ', '87.48', '   Test all: ', '86.75', 'V root: ', '85.83', '   Test root: ', '89.17', '   Train: ', '88.95', '   Train root: ', '90.62')
+('epoch: ', 15, 'V all: ', '88.47', '   Test all: ', '86.50', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '89.01', '   Train root: ', '93.44')
+('epoch: ', 16, 'V all: ', '88.24', '   Test all: ', '87.32', 'V root: ', '88.33', '   Test root: ', '90.83', '   Train: ', '89.51', '   Train root: ', '91.35')
+('epoch: ', 17, 'V all: ', '88.02', '   Test all: ', '87.40', 'V root: ', '86.67', '   Test root: ', '88.33', '   Train: ', '89.90', '   Train root: ', '91.15')
+('epoch: ', 18, 'V all: ', '88.70', '   Test all: ', '87.24', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '89.89', '   Train root: ', '93.65')
+('epoch: ', 19, 'V all: ', '88.78', '   Test all: ', '86.99', 'V root: ', '90.00', '   Test root: ', '91.67', '   Train: ', '90.05', '   Train root: ', '93.54')
+('epoch: ', 20, 'V all: ', '88.63', '   Test all: ', '87.89', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '90.39', '   Train root: ', '93.33')
+('epoch: ', 21, 'V all: ', '88.47', '   Test all: ', '87.97', 'V root: ', '86.67', '   Test root: ', '88.33', '   Train: ', '90.77', '   Train root: ', '92.50')
+('epoch: ', 22, 'V all: ', '88.47', '   Test all: ', '88.05', 'V root: ', '88.33', '   Test root: ', '89.17', '   Train: ', '91.02', '   Train root: ', '93.65')
+('epoch: ', 23, 'V all: ', '89.24', '   Test all: ', '88.13', 'V root: ', '89.17', '   Test root: ', '90.00', '   Train: ', '91.26', '   Train root: ', '93.85')
+('epoch: ', 24, 'V all: ', '88.63', '   Test all: ', '88.13', 'V root: ', '82.50', '   Test root: ', '88.33', '   Train: ', '91.40', '   Train root: ', '92.08')
+('epoch: ', 25, 'V all: ', '89.39', '   Test all: ', '88.46', 'V root: ', '90.83', '   Test root: ', '90.00', '   Train: ', '91.60', '   Train root: ', '94.48')
+('epoch: ', 26, 'V all: ', '89.08', '   Test all: ', '88.54', 'V root: ', '87.50', '   Test root: ', '86.67', '   Train: ', '91.79', '   Train root: ', '92.40')
+('epoch: ', 27, 'V all: ', '89.24', '   Test all: ', '88.37', 'V root: ', '90.00', '   Test root: ', '88.33', '   Train: ', '92.14', '   Train root: ', '94.79')
+('epoch: ', 28, 'V all: ', '89.54', '   Test all: ', '88.21', 'V root: ', '91.67', '   Test root: ', '87.50', '   Train: ', '92.31', '   Train root: ', '94.79')
+('epoch: ', 29, 'V all: ', '89.69', '   Test all: ', '88.05', 'V root: ', '90.83', '   Test root: ', '88.33', '   Train: ', '92.54', '   Train root: ', '95.62')
+('epoch: ', 30, 'V all: ', '89.85', '   Test all: ', '88.70', 'V root: ', '93.33', '   Test root: ', '92.50', '   Train: ', '92.43', '   Train root: ', '96.88')
+('epoch: ', 31, 'V all: ', '89.69', '   Test all: ', '88.37', 'V root: ', '90.83', '   Test root: ', '89.17', '   Train: ', '92.79', '   Train root: ', '96.46')
+('epoch: ', 32, 'V all: ', '89.92', '   Test all: ', '87.89', 'V root: ', '89.17', '   Test root: ', '85.83', '   Train: ', '93.31', '   Train root: ', '95.42')
+('epoch: ', 33, 'V all: ', '89.85', '   Test all: ', '88.29', 'V root: ', '90.83', '   Test root: ', '88.33', '   Train: ', '93.24', '   Train root: ', '96.98')
+('epoch: ', 34, 'V all: ', '90.23', '   Test all: ', '88.21', 'V root: ', '91.67', '   Test root: ', '85.83', '   Train: ', '93.38', '   Train root: ', '96.56')
+('epoch: ', 35, 'V all: ', '89.77', '   Test all: ', '87.89', 'V root: ', '88.33', '   Test root: ', '85.00', '   Train: ', '93.76', '   Train root: ', '95.52')
+('epoch: ', 36, 'V all: ', '90.23', '   Test all: ', '87.97', 'V root: ', '88.33', '   Test root: ', '84.17', '   Train: ', '94.04', '   Train root: ', '95.83')
+('epoch: ', 37, 'V all: ', '90.23', '   Test all: ', '88.62', 'V root: ', '92.50', '   Test root: ', '86.67', '   Train: ', '94.04', '   Train root: ', '96.88')
+('epoch: ', 38, 'V all: ', '91.07', '   Test all: ', '88.21', 'V root: ', '93.33', '   Test root: ', '87.50', '   Train: ', '94.25', '   Train root: ', '97.19')
+('epoch: ', 39, 'V all: ', '90.61', '   Test all: ', '88.29', 'V root: ', '92.50', '   Test root: ', '87.50', '   Train: ', '94.28', '   Train root: ', '97.29')
+('epoch: ', 40, 'V all: ', '90.84', '   Test all: ', '88.29', 'V root: ', '92.50', '   Test root: ', '88.33', '   Train: ', '94.44', '   Train root: ', '97.19')
+('epoch: ', 41, 'V all: ', '90.69', '   Test all: ', '88.78', 'V root: ', '93.33', '   Test root: ', '87.50', '   Train: ', '94.63', '   Train root: ', '97.60')
+('epoch: ', 42, 'V all: ', '90.92', '   Test all: ', '88.86', 'V root: ', '92.50', '   Test root: ', '86.67', '   Train: ', '94.88', '   Train root: ', '97.50')
+('epoch: ', 43, 'V all: ', '90.84', '   Test all: ', '88.70', 'V root: ', '90.00', '   Test root: ', '87.50', '   Train: ', '95.00', '   Train root: ', '97.50')
+('Best valid: ', '91.07', ' Test all: ', '88.21', 'Test root: ', '87.50', '   time: ', 1742.0749549865723)
+
+model LSTM_7 :  h_dim =  100  learning rate =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '84.35', '   Test all: ', '83.01', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '82.80', '   Train root: ', '90.42')
+('epoch: ', 2, 'V all: ', '86.79', '   Test all: ', '84.88', 'V root: ', '90.00', '   Test root: ', '92.50', '   Train: ', '85.09', '   Train root: ', '90.10')
+('epoch: ', 3, 'V all: ', '86.87', '   Test all: ', '84.96', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '85.60', '   Train root: ', '90.83')
+('epoch: ', 4, 'V all: ', '86.95', '   Test all: ', '86.02', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '86.04', '   Train root: ', '90.52')
+('epoch: ', 5, 'V all: ', '86.64', '   Test all: ', '85.77', 'V root: ', '82.50', '   Test root: ', '89.17', '   Train: ', '86.48', '   Train root: ', '88.85')
+('epoch: ', 6, 'V all: ', '87.25', '   Test all: ', '85.77', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '86.83', '   Train root: ', '91.46')
+('epoch: ', 7, 'V all: ', '87.63', '   Test all: ', '86.18', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '87.25', '   Train root: ', '90.73')
+('epoch: ', 8, 'V all: ', '88.09', '   Test all: ', '86.02', 'V root: ', '88.33', '   Test root: ', '91.67', '   Train: ', '87.39', '   Train root: ', '91.25')
+('epoch: ', 9, 'V all: ', '87.71', '   Test all: ', '86.75', 'V root: ', '85.83', '   Test root: ', '89.17', '   Train: ', '87.69', '   Train root: ', '88.44')
+('epoch: ', 10, 'V all: ', '88.17', '   Test all: ', '86.67', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '87.84', '   Train root: ', '90.73')
+('epoch: ', 11, 'V all: ', '88.32', '   Test all: ', '86.91', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '88.18', '   Train root: ', '91.15')
+('epoch: ', 12, 'V all: ', '88.02', '   Test all: ', '86.42', 'V root: ', '90.00', '   Test root: ', '92.50', '   Train: ', '88.32', '   Train root: ', '92.29')
+('epoch: ', 13, 'V all: ', '88.17', '   Test all: ', '87.32', 'V root: ', '86.67', '   Test root: ', '89.17', '   Train: ', '88.76', '   Train root: ', '89.79')
+('epoch: ', 14, 'V all: ', '88.02', '   Test all: ', '87.48', 'V root: ', '86.67', '   Test root: ', '90.83', '   Train: ', '88.94', '   Train root: ', '90.10')
+('epoch: ', 15, 'V all: ', '88.24', '   Test all: ', '86.83', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '89.09', '   Train root: ', '93.33')
+('epoch: ', 16, 'V all: ', '88.24', '   Test all: ', '87.56', 'V root: ', '90.00', '   Test root: ', '90.83', '   Train: ', '89.39', '   Train root: ', '90.73')
+('Best valid: ', '88.32', ' Test all: ', '86.91', 'Test root: ', '91.67', '   time: ', 466.12750792503357)
+
+model LSTM_1_3 :  h_dim =  10  learning rate =  0.01  batch_size =  1  dropout_rate =  0.5
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 4, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 5, 'V all: ', '85.42', '   Test all: ', '84.39', 'V root: ', '94.17', '   Test root: ', '94.17', '   Train: ', '84.51', '   Train root: ', '92.19')
+('epoch: ', 6, 'V all: ', '86.79', '   Test all: ', '85.04', 'V root: ', '94.17', '   Test root: ', '95.83', '   Train: ', '85.22', '   Train root: ', '93.44')
+('epoch: ', 7, 'V all: ', '87.56', '   Test all: ', '85.77', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '86.30', '   Train root: ', '93.75')
+('epoch: ', 8, 'V all: ', '87.94', '   Test all: ', '85.45', 'V root: ', '93.33', '   Test root: ', '95.83', '   Train: ', '86.64', '   Train root: ', '93.75')
+('epoch: ', 9, 'V all: ', '88.02', '   Test all: ', '86.10', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '87.19', '   Train root: ', '92.92')
+('epoch: ', 10, 'V all: ', '88.32', '   Test all: ', '86.59', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '87.34', '   Train root: ', '92.71')
+('epoch: ', 11, 'V all: ', '88.85', '   Test all: ', '86.59', 'V root: ', '93.33', '   Test root: ', '95.83', '   Train: ', '87.78', '   Train root: ', '93.65')
+('epoch: ', 12, 'V all: ', '88.47', '   Test all: ', '86.67', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '87.92', '   Train root: ', '94.06')
+('epoch: ', 13, 'V all: ', '88.40', '   Test all: ', '86.67', 'V root: ', '91.67', '   Test root: ', '96.67', '   Train: ', '88.68', '   Train root: ', '94.27')
+('epoch: ', 14, 'V all: ', '88.78', '   Test all: ', '86.91', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '88.88', '   Train root: ', '93.65')
+('epoch: ', 15, 'V all: ', '88.70', '   Test all: ', '86.50', 'V root: ', '93.33', '   Test root: ', '96.67', '   Train: ', '88.74', '   Train root: ', '95.10')
+('epoch: ', 16, 'V all: ', '89.01', '   Test all: ', '87.48', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '89.36', '   Train root: ', '95.10')
+('epoch: ', 17, 'V all: ', '89.24', '   Test all: ', '87.32', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '89.76', '   Train root: ', '94.58')
+('epoch: ', 18, 'V all: ', '89.69', '   Test all: ', '87.15', 'V root: ', '94.17', '   Test root: ', '96.67', '   Train: ', '89.80', '   Train root: ', '95.10')
+('epoch: ', 19, 'V all: ', '89.01', '   Test all: ', '87.07', 'V root: ', '93.33', '   Test root: ', '96.67', '   Train: ', '89.98', '   Train root: ', '95.42')
+('epoch: ', 20, 'V all: ', '89.54', '   Test all: ', '87.97', 'V root: ', '92.50', '   Test root: ', '96.67', '   Train: ', '90.49', '   Train root: ', '94.69')
+('epoch: ', 21, 'V all: ', '89.47', '   Test all: ', '87.32', 'V root: ', '91.67', '   Test root: ', '96.67', '   Train: ', '90.52', '   Train root: ', '94.79')
+('epoch: ', 22, 'V all: ', '89.39', '   Test all: ', '87.64', 'V root: ', '90.83', '   Test root: ', '96.67', '   Train: ', '90.79', '   Train root: ', '95.10')
+('epoch: ', 23, 'V all: ', '89.47', '   Test all: ', '87.64', 'V root: ', '91.67', '   Test root: ', '96.67', '   Train: ', '90.96', '   Train root: ', '95.21')
+('Best valid: ', '89.69', ' Test all: ', '87.15', 'Test root: ', '96.67', '   time: ', 627.1903591156006)
+
+model LSTM_1_3 :  h_dim =  30  learning rate =  0.01  batch_size =  1  dropout_rate =  0.5
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '83.66', '   Test all: ', '82.36', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '82.15', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '85.27', '   Test all: ', '84.39', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '84.30', '   Train root: ', '92.92')
+('epoch: ', 4, 'V all: ', '86.64', '   Test all: ', '85.20', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '85.72', '   Train root: ', '92.50')
+('epoch: ', 5, 'V all: ', '87.18', '   Test all: ', '85.53', 'V root: ', '91.67', '   Test root: ', '92.50', '   Train: ', '85.99', '   Train root: ', '92.19')
+('epoch: ', 6, 'V all: ', '88.17', '   Test all: ', '85.53', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '86.36', '   Train root: ', '93.33')
+('epoch: ', 7, 'V all: ', '88.02', '   Test all: ', '86.10', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '86.92', '   Train root: ', '92.60')
+('epoch: ', 8, 'V all: ', '88.24', '   Test all: ', '86.10', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '87.40', '   Train root: ', '93.23')
+('epoch: ', 9, 'V all: ', '88.09', '   Test all: ', '86.67', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '87.99', '   Train root: ', '91.56')
+('epoch: ', 10, 'V all: ', '88.70', '   Test all: ', '86.75', 'V root: ', '89.17', '   Test root: ', '95.83', '   Train: ', '88.26', '   Train root: ', '93.44')
+('epoch: ', 11, 'V all: ', '88.17', '   Test all: ', '87.07', 'V root: ', '88.33', '   Test root: ', '96.67', '   Train: ', '88.62', '   Train root: ', '93.96')
+('epoch: ', 12, 'V all: ', '88.32', '   Test all: ', '87.32', 'V root: ', '89.17', '   Test root: ', '97.50', '   Train: ', '88.79', '   Train root: ', '94.58')
+('epoch: ', 13, 'V all: ', '88.85', '   Test all: ', '87.72', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '89.56', '   Train root: ', '93.23')
+('epoch: ', 14, 'V all: ', '88.55', '   Test all: ', '87.32', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '89.49', '   Train root: ', '93.12')
+('epoch: ', 15, 'V all: ', '89.39', '   Test all: ', '87.97', 'V root: ', '90.83', '   Test root: ', '97.50', '   Train: ', '89.69', '   Train root: ', '94.58')
+('epoch: ', 16, 'V all: ', '88.85', '   Test all: ', '88.05', 'V root: ', '87.50', '   Test root: ', '97.50', '   Train: ', '90.01', '   Train root: ', '93.75')
+('epoch: ', 17, 'V all: ', '89.08', '   Test all: ', '87.72', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '90.27', '   Train root: ', '92.40')
+('epoch: ', 18, 'V all: ', '89.39', '   Test all: ', '88.29', 'V root: ', '88.33', '   Test root: ', '97.50', '   Train: ', '90.50', '   Train root: ', '94.58')
+('epoch: ', 19, 'V all: ', '89.39', '   Test all: ', '88.05', 'V root: ', '90.00', '   Test root: ', '97.50', '   Train: ', '90.57', '   Train root: ', '95.31')
+('epoch: ', 20, 'V all: ', '89.39', '   Test all: ', '88.37', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '90.81', '   Train root: ', '94.79')
+('epoch: ', 21, 'V all: ', '89.39', '   Test all: ', '88.46', 'V root: ', '86.67', '   Test root: ', '95.00', '   Train: ', '91.19', '   Train root: ', '94.90')
+('epoch: ', 22, 'V all: ', '89.39', '   Test all: ', '88.13', 'V root: ', '89.17', '   Test root: ', '92.50', '   Train: ', '91.18', '   Train root: ', '94.69')
+('epoch: ', 23, 'V all: ', '89.47', '   Test all: ', '88.78', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '91.43', '   Train root: ', '94.90')
+('epoch: ', 24, 'V all: ', '89.85', '   Test all: ', '88.86', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '91.73', '   Train root: ', '93.23')
+('epoch: ', 25, 'V all: ', '89.39', '   Test all: ', '88.46', 'V root: ', '86.67', '   Test root: ', '93.33', '   Train: ', '91.86', '   Train root: ', '94.58')
+('epoch: ', 26, 'V all: ', '89.47', '   Test all: ', '89.27', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '91.90', '   Train root: ', '94.27')
+('epoch: ', 27, 'V all: ', '89.62', '   Test all: ', '88.70', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '91.89', '   Train root: ', '95.83')
+('epoch: ', 28, 'V all: ', '89.62', '   Test all: ', '88.86', 'V root: ', '85.83', '   Test root: ', '91.67', '   Train: ', '92.37', '   Train root: ', '94.90')
+('epoch: ', 29, 'V all: ', '89.77', '   Test all: ', '88.94', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '92.49', '   Train root: ', '95.73')
+('Best valid: ', '89.85', ' Test all: ', '88.86', 'Test root: ', '93.33', '   time: ', 1183.024235010147)
+
+model LSTM_1_3 :  h_dim =  50  learning rate =  0.01  batch_size =  1  dropout_rate =  0.5
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '84.35', '   Test all: ', '82.85', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '82.84', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '86.18', '   Test all: ', '84.88', 'V root: ', '93.33', '   Test root: ', '95.83', '   Train: ', '84.73', '   Train root: ', '94.06')
+('epoch: ', 4, 'V all: ', '87.25', '   Test all: ', '85.37', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '85.79', '   Train root: ', '92.92')
+('epoch: ', 5, 'V all: ', '87.40', '   Test all: ', '86.02', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '86.42', '   Train root: ', '91.88')
+('epoch: ', 6, 'V all: ', '87.94', '   Test all: ', '85.85', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '86.63', '   Train root: ', '93.23')
+('epoch: ', 7, 'V all: ', '88.02', '   Test all: ', '86.02', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '87.18', '   Train root: ', '93.02')
+('epoch: ', 8, 'V all: ', '88.32', '   Test all: ', '86.59', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '87.71', '   Train root: ', '93.12')
+('epoch: ', 9, 'V all: ', '88.47', '   Test all: ', '86.83', 'V root: ', '90.00', '   Test root: ', '93.33', '   Train: ', '88.22', '   Train root: ', '92.29')
+('epoch: ', 10, 'V all: ', '88.70', '   Test all: ', '86.91', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '88.37', '   Train root: ', '93.44')
+('epoch: ', 11, 'V all: ', '88.93', '   Test all: ', '87.07', 'V root: ', '94.17', '   Test root: ', '96.67', '   Train: ', '88.67', '   Train root: ', '93.85')
+('epoch: ', 12, 'V all: ', '88.70', '   Test all: ', '86.83', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '88.86', '   Train root: ', '94.38')
+('epoch: ', 13, 'V all: ', '88.55', '   Test all: ', '87.48', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '89.47', '   Train root: ', '92.60')
+('epoch: ', 14, 'V all: ', '88.85', '   Test all: ', '87.56', 'V root: ', '89.17', '   Test root: ', '90.83', '   Train: ', '89.77', '   Train root: ', '93.12')
+('epoch: ', 15, 'V all: ', '88.93', '   Test all: ', '87.64', 'V root: ', '91.67', '   Test root: ', '96.67', '   Train: ', '89.72', '   Train root: ', '94.27')
+('epoch: ', 16, 'V all: ', '88.78', '   Test all: ', '88.29', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '90.10', '   Train root: ', '94.17')
+('epoch: ', 17, 'V all: ', '88.55', '   Test all: ', '87.97', 'V root: ', '86.67', '   Test root: ', '90.83', '   Train: ', '90.27', '   Train root: ', '92.92')
+('epoch: ', 18, 'V all: ', '89.62', '   Test all: ', '87.72', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '90.45', '   Train root: ', '94.48')
+('epoch: ', 19, 'V all: ', '89.31', '   Test all: ', '88.29', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '90.60', '   Train root: ', '94.27')
+('epoch: ', 20, 'V all: ', '89.31', '   Test all: ', '88.54', 'V root: ', '89.17', '   Test root: ', '92.50', '   Train: ', '90.87', '   Train root: ', '94.06')
+('epoch: ', 21, 'V all: ', '89.01', '   Test all: ', '88.62', 'V root: ', '86.67', '   Test root: ', '93.33', '   Train: ', '91.05', '   Train root: ', '93.65')
+('epoch: ', 22, 'V all: ', '89.31', '   Test all: ', '88.29', 'V root: ', '88.33', '   Test root: ', '91.67', '   Train: ', '91.23', '   Train root: ', '93.96')
+('epoch: ', 23, 'V all: ', '89.47', '   Test all: ', '88.70', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '91.50', '   Train root: ', '94.58')
+('Best valid: ', '89.62', ' Test all: ', '87.72', 'Test root: ', '95.00', '   time: ', 896.3351101875305)
+
+model LSTM_1_3 :  h_dim =  75  learning rate =  0.01  batch_size =  1  dropout_rate =  0.5
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '84.43', '   Test all: ', '82.85', 'V root: ', '95.00', '   Test root: ', '95.00', '   Train: ', '82.72', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '86.26', '   Test all: ', '84.55', 'V root: ', '95.00', '   Test root: ', '94.17', '   Train: ', '84.57', '   Train root: ', '92.60')
+('epoch: ', 4, 'V all: ', '87.25', '   Test all: ', '84.96', 'V root: ', '91.67', '   Test root: ', '94.17', '   Train: ', '85.57', '   Train root: ', '92.50')
+('epoch: ', 5, 'V all: ', '87.33', '   Test all: ', '86.10', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '86.13', '   Train root: ', '90.42')
+('epoch: ', 6, 'V all: ', '88.24', '   Test all: ', '85.53', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '86.55', '   Train root: ', '93.12')
+('epoch: ', 7, 'V all: ', '88.09', '   Test all: ', '86.50', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '86.89', '   Train root: ', '92.50')
+('epoch: ', 8, 'V all: ', '88.40', '   Test all: ', '86.91', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '87.66', '   Train root: ', '92.81')
+('epoch: ', 9, 'V all: ', '88.17', '   Test all: ', '86.67', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '88.03', '   Train root: ', '91.56')
+('epoch: ', 10, 'V all: ', '88.17', '   Test all: ', '86.75', 'V root: ', '90.00', '   Test root: ', '93.33', '   Train: ', '88.37', '   Train root: ', '93.23')
+('epoch: ', 11, 'V all: ', '88.40', '   Test all: ', '86.42', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '88.63', '   Train root: ', '93.23')
+('epoch: ', 12, 'V all: ', '88.55', '   Test all: ', '86.67', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '88.94', '   Train root: ', '93.85')
+('epoch: ', 13, 'V all: ', '88.24', '   Test all: ', '87.64', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '89.36', '   Train root: ', '92.50')
+('epoch: ', 14, 'V all: ', '88.78', '   Test all: ', '87.32', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '89.54', '   Train root: ', '93.12')
+('epoch: ', 15, 'V all: ', '88.70', '   Test all: ', '87.72', 'V root: ', '89.17', '   Test root: ', '96.67', '   Train: ', '89.74', '   Train root: ', '94.58')
+('epoch: ', 16, 'V all: ', '89.39', '   Test all: ', '88.05', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '90.02', '   Train root: ', '93.65')
+('epoch: ', 17, 'V all: ', '89.01', '   Test all: ', '87.97', 'V root: ', '88.33', '   Test root: ', '91.67', '   Train: ', '90.42', '   Train root: ', '92.71')
+('epoch: ', 18, 'V all: ', '89.62', '   Test all: ', '87.89', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '90.38', '   Train root: ', '94.38')
+('epoch: ', 19, 'V all: ', '89.69', '   Test all: ', '88.21', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '90.57', '   Train root: ', '94.90')
+('epoch: ', 20, 'V all: ', '89.62', '   Test all: ', '88.21', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '91.03', '   Train root: ', '94.58')
+('epoch: ', 21, 'V all: ', '89.39', '   Test all: ', '88.54', 'V root: ', '90.83', '   Test root: ', '95.83', '   Train: ', '91.37', '   Train root: ', '94.27')
+('epoch: ', 22, 'V all: ', '89.69', '   Test all: ', '88.21', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '91.36', '   Train root: ', '94.27')
+('epoch: ', 23, 'V all: ', '89.92', '   Test all: ', '88.37', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '91.63', '   Train root: ', '94.48')
+('epoch: ', 24, 'V all: ', '89.77', '   Test all: ', '88.29', 'V root: ', '87.50', '   Test root: ', '91.67', '   Train: ', '92.16', '   Train root: ', '94.48')
+('epoch: ', 25, 'V all: ', '89.92', '   Test all: ', '88.62', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '92.17', '   Train root: ', '95.62')
+('epoch: ', 26, 'V all: ', '89.92', '   Test all: ', '89.02', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '92.46', '   Train root: ', '94.58')
+('epoch: ', 27, 'V all: ', '90.15', '   Test all: ', '88.86', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '92.34', '   Train root: ', '95.52')
+('epoch: ', 28, 'V all: ', '89.92', '   Test all: ', '89.11', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '92.61', '   Train root: ', '95.62')
+('epoch: ', 29, 'V all: ', '90.31', '   Test all: ', '89.11', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '92.98', '   Train root: ', '95.73')
+('epoch: ', 30, 'V all: ', '90.38', '   Test all: ', '89.59', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '92.71', '   Train root: ', '96.46')
+('epoch: ', 31, 'V all: ', '90.23', '   Test all: ', '89.19', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '92.88', '   Train root: ', '96.35')
+('epoch: ', 32, 'V all: ', '90.38', '   Test all: ', '89.11', 'V root: ', '88.33', '   Test root: ', '91.67', '   Train: ', '93.43', '   Train root: ', '96.46')
+('epoch: ', 33, 'V all: ', '90.38', '   Test all: ', '89.27', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '93.42', '   Train root: ', '96.98')
+('epoch: ', 34, 'V all: ', '90.23', '   Test all: ', '89.11', 'V root: ', '90.00', '   Test root: ', '90.00', '   Train: ', '93.52', '   Train root: ', '97.08')
+('epoch: ', 35, 'V all: ', '90.23', '   Test all: ', '89.19', 'V root: ', '88.33', '   Test root: ', '90.83', '   Train: ', '93.97', '   Train root: ', '96.77')
+('epoch: ', 36, 'V all: ', '90.23', '   Test all: ', '89.02', 'V root: ', '90.83', '   Test root: ', '91.67', '   Train: ', '93.75', '   Train root: ', '96.77')
+('epoch: ', 37, 'V all: ', '90.23', '   Test all: ', '89.43', 'V root: ', '90.00', '   Test root: ', '92.50', '   Train: ', '94.23', '   Train root: ', '97.08')
+('epoch: ', 38, 'V all: ', '90.53', '   Test all: ', '89.67', 'V root: ', '90.00', '   Test root: ', '90.83', '   Train: ', '94.30', '   Train root: ', '97.81')
+('epoch: ', 39, 'V all: ', '90.53', '   Test all: ', '89.43', 'V root: ', '89.17', '   Test root: ', '90.83', '   Train: ', '94.34', '   Train root: ', '97.50')
+('epoch: ', 40, 'V all: ', '90.69', '   Test all: ', '89.51', 'V root: ', '90.83', '   Test root: ', '92.50', '   Train: ', '94.59', '   Train root: ', '96.98')
+('epoch: ', 41, 'V all: ', '90.53', '   Test all: ', '89.59', 'V root: ', '90.00', '   Test root: ', '93.33', '   Train: ', '94.63', '   Train root: ', '97.60')
+('epoch: ', 42, 'V all: ', '90.69', '   Test all: ', '89.76', 'V root: ', '90.00', '   Test root: ', '90.00', '   Train: ', '94.89', '   Train root: ', '97.40')
+('epoch: ', 43, 'V all: ', '90.69', '   Test all: ', '89.59', 'V root: ', '90.00', '   Test root: ', '91.67', '   Train: ', '94.86', '   Train root: ', '97.81')
+('epoch: ', 44, 'V all: ', '90.46', '   Test all: ', '89.84', 'V root: ', '88.33', '   Test root: ', '90.00', '   Train: ', '95.29', '   Train root: ', '96.77')
+('epoch: ', 45, 'V all: ', '90.69', '   Test all: ', '89.27', 'V root: ', '89.17', '   Test root: ', '90.00', '   Train: ', '95.35', '   Train root: ', '97.92')
+('epoch: ', 46, 'V all: ', '90.61', '   Test all: ', '89.19', 'V root: ', '90.00', '   Test root: ', '89.17', '   Train: ', '95.53', '   Train root: ', '97.71')
+('epoch: ', 47, 'V all: ', '90.53', '   Test all: ', '89.27', 'V root: ', '88.33', '   Test root: ', '88.33', '   Train: ', '95.60', '   Train root: ', '96.67')
+('epoch: ', 48, 'V all: ', '90.46', '   Test all: ', '89.43', 'V root: ', '90.00', '   Test root: ', '91.67', '   Train: ', '95.53', '   Train root: ', '98.33')
+('epoch: ', 49, 'V all: ', '90.84', '   Test all: ', '89.84', 'V root: ', '90.00', '   Test root: ', '90.00', '   Train: ', '95.72', '   Train root: ', '97.92')
+('epoch: ', 50, 'V all: ', '90.38', '   Test all: ', '89.51', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '95.60', '   Train root: ', '98.33')
+('epoch: ', 51, 'V all: ', '90.76', '   Test all: ', '89.67', 'V root: ', '88.33', '   Test root: ', '90.00', '   Train: ', '95.69', '   Train root: ', '98.33')
+('epoch: ', 52, 'V all: ', '90.92', '   Test all: ', '89.51', 'V root: ', '89.17', '   Test root: ', '90.83', '   Train: ', '95.92', '   Train root: ', '98.44')
+('epoch: ', 53, 'V all: ', '90.69', '   Test all: ', '89.59', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '96.02', '   Train root: ', '98.44')
+('epoch: ', 54, 'V all: ', '90.76', '   Test all: ', '89.02', 'V root: ', '89.17', '   Test root: ', '87.50', '   Train: ', '96.24', '   Train root: ', '97.92')
+('epoch: ', 55, 'V all: ', '90.76', '   Test all: ', '89.35', 'V root: ', '89.17', '   Test root: ', '90.00', '   Train: ', '96.34', '   Train root: ', '98.33')
+('epoch: ', 56, 'V all: ', '90.84', '   Test all: ', '88.86', 'V root: ', '88.33', '   Test root: ', '88.33', '   Train: ', '96.39', '   Train root: ', '98.02')
+('epoch: ', 57, 'V all: ', '90.92', '   Test all: ', '89.43', 'V root: ', '89.17', '   Test root: ', '90.00', '   Train: ', '96.34', '   Train root: ', '98.02')
+('epoch: ', 58, 'V all: ', '90.84', '   Test all: ', '89.11', 'V root: ', '88.33', '   Test root: ', '88.33', '   Train: ', '96.50', '   Train root: ', '98.54')
+('epoch: ', 59, 'V all: ', '90.92', '   Test all: ', '88.94', 'V root: ', '88.33', '   Test root: ', '88.33', '   Train: ', '96.55', '   Train root: ', '98.12')
+('Best valid: ', '90.92', ' Test all: ', '88.94', 'Test root: ', '88.33', '   time: ', 2346.142298936844)
+
+model LSTM_1_3 :  h_dim =  100  learning rate =  0.01  batch_size =  1  dropout_rate =  0.5
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '85.19', '   Test all: ', '83.98', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '84.05', '   Train root: ', '91.77')
+('epoch: ', 3, 'V all: ', '86.56', '   Test all: ', '84.80', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '85.12', '   Train root: ', '93.02')
+('epoch: ', 4, 'V all: ', '87.56', '   Test all: ', '85.28', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '85.89', '   Train root: ', '91.35')
+('epoch: ', 5, 'V all: ', '86.95', '   Test all: ', '86.42', 'V root: ', '85.83', '   Test root: ', '92.50', '   Train: ', '86.57', '   Train root: ', '90.21')
+('epoch: ', 6, 'V all: ', '87.94', '   Test all: ', '86.10', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '86.80', '   Train root: ', '92.60')
+('epoch: ', 7, 'V all: ', '88.02', '   Test all: ', '86.42', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '87.34', '   Train root: ', '91.67')
+('epoch: ', 8, 'V all: ', '88.02', '   Test all: ', '86.83', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '87.61', '   Train root: ', '91.77')
+('epoch: ', 9, 'V all: ', '88.24', '   Test all: ', '87.15', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '88.06', '   Train root: ', '90.83')
+('epoch: ', 10, 'V all: ', '88.32', '   Test all: ', '87.48', 'V root: ', '90.00', '   Test root: ', '95.83', '   Train: ', '88.34', '   Train root: ', '92.92')
+('epoch: ', 11, 'V all: ', '88.63', '   Test all: ', '86.99', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '88.79', '   Train root: ', '93.33')
+('epoch: ', 12, 'V all: ', '88.55', '   Test all: ', '87.32', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '89.11', '   Train root: ', '93.85')
+('epoch: ', 13, 'V all: ', '88.85', '   Test all: ', '87.97', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '89.40', '   Train root: ', '92.40')
+('epoch: ', 14, 'V all: ', '88.63', '   Test all: ', '87.48', 'V root: ', '87.50', '   Test root: ', '91.67', '   Train: ', '89.64', '   Train root: ', '92.92')
+('epoch: ', 15, 'V all: ', '88.85', '   Test all: ', '87.40', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '89.88', '   Train root: ', '94.90')
+('epoch: ', 16, 'V all: ', '89.39', '   Test all: ', '87.97', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '90.29', '   Train root: ', '93.44')
+('epoch: ', 17, 'V all: ', '89.54', '   Test all: ', '88.21', 'V root: ', '87.50', '   Test root: ', '91.67', '   Train: ', '90.53', '   Train root: ', '92.40')
+('epoch: ', 18, 'V all: ', '89.31', '   Test all: ', '87.80', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '90.57', '   Train root: ', '94.38')
+('epoch: ', 19, 'V all: ', '89.31', '   Test all: ', '88.05', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '90.79', '   Train root: ', '94.38')
+('epoch: ', 20, 'V all: ', '89.31', '   Test all: ', '88.37', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '91.09', '   Train root: ', '94.27')
+('epoch: ', 21, 'V all: ', '89.54', '   Test all: ', '88.70', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '91.47', '   Train root: ', '94.38')
+('epoch: ', 22, 'V all: ', '89.24', '   Test all: ', '88.78', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '91.59', '   Train root: ', '94.58')
+('epoch: ', 23, 'V all: ', '89.69', '   Test all: ', '88.94', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '91.78', '   Train root: ', '95.10')
+('epoch: ', 24, 'V all: ', '89.01', '   Test all: ', '88.46', 'V root: ', '84.17', '   Test root: ', '92.50', '   Train: ', '92.08', '   Train root: ', '94.17')
+('epoch: ', 25, 'V all: ', '89.85', '   Test all: ', '88.78', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '92.11', '   Train root: ', '95.42')
+('epoch: ', 26, 'V all: ', '89.24', '   Test all: ', '88.94', 'V root: ', '85.83', '   Test root: ', '92.50', '   Train: ', '92.36', '   Train root: ', '94.79')
+('epoch: ', 27, 'V all: ', '89.85', '   Test all: ', '89.02', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '92.40', '   Train root: ', '95.73')
+('epoch: ', 28, 'V all: ', '89.77', '   Test all: ', '89.11', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '92.77', '   Train root: ', '95.94')
+('epoch: ', 29, 'V all: ', '89.31', '   Test all: ', '89.43', 'V root: ', '85.83', '   Test root: ', '92.50', '   Train: ', '92.98', '   Train root: ', '95.52')
+('epoch: ', 30, 'V all: ', '89.69', '   Test all: ', '88.94', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '92.96', '   Train root: ', '96.98')
+('epoch: ', 31, 'V all: ', '89.24', '   Test all: ', '88.86', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '93.18', '   Train root: ', '96.15')
+('epoch: ', 32, 'V all: ', '89.69', '   Test all: ', '89.02', 'V root: ', '85.83', '   Test root: ', '90.83', '   Train: ', '93.41', '   Train root: ', '96.15')
+('Best valid: ', '89.85', ' Test all: ', '89.02', 'Test root: ', '93.33', '   time: ', 1224.2084040641785)
+
+
+
+
+model LSTM_1_6 :  h_dim =  30  learning rate =  0.01  noise_rate = 0.3  noise_std = 0.05 lambda =  0.001
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '83.21', '   Test all: ', '82.20', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.98', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '85.19', '   Test all: ', '84.39', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '84.25', '   Train root: ', '92.50')
+('epoch: ', 4, 'V all: ', '86.87', '   Test all: ', '84.88', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '85.69', '   Train root: ', '92.60')
+('epoch: ', 5, 'V all: ', '86.72', '   Test all: ', '85.12', 'V root: ', '90.00', '   Test root: ', '92.50', '   Train: ', '85.89', '   Train root: ', '90.83')
+('epoch: ', 6, 'V all: ', '87.86', '   Test all: ', '85.61', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '86.51', '   Train root: ', '93.23')
+('epoch: ', 7, 'V all: ', '87.86', '   Test all: ', '85.85', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '86.91', '   Train root: ', '93.23')
+('epoch: ', 8, 'V all: ', '88.63', '   Test all: ', '86.18', 'V root: ', '94.17', '   Test root: ', '95.83', '   Train: ', '87.30', '   Train root: ', '93.85')
+('epoch: ', 9, 'V all: ', '87.71', '   Test all: ', '86.67', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '87.73', '   Train root: ', '91.56')
+('epoch: ', 10, 'V all: ', '88.17', '   Test all: ', '87.07', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '88.03', '   Train root: ', '92.81')
+('epoch: ', 11, 'V all: ', '88.40', '   Test all: ', '86.99', 'V root: ', '89.17', '   Test root: ', '95.83', '   Train: ', '88.48', '   Train root: ', '93.96')
+('epoch: ', 12, 'V all: ', '88.78', '   Test all: ', '87.15', 'V root: ', '90.83', '   Test root: ', '97.50', '   Train: ', '88.77', '   Train root: ', '94.38')
+('epoch: ', 13, 'V all: ', '88.40', '   Test all: ', '87.24', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '89.18', '   Train root: ', '92.81')
+('epoch: ', 14, 'V all: ', '88.40', '   Test all: ', '87.15', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '89.40', '   Train root: ', '92.92')
+('epoch: ', 15, 'V all: ', '88.93', '   Test all: ', '87.40', 'V root: ', '90.83', '   Test root: ', '97.50', '   Train: ', '89.38', '   Train root: ', '95.21')
+('epoch: ', 16, 'V all: ', '88.93', '   Test all: ', '87.40', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '89.72', '   Train root: ', '93.54')
+('epoch: ', 17, 'V all: ', '89.08', '   Test all: ', '87.80', 'V root: ', '86.67', '   Test root: ', '90.83', '   Train: ', '90.03', '   Train root: ', '91.98')
+('epoch: ', 18, 'V all: ', '89.47', '   Test all: ', '87.48', 'V root: ', '91.67', '   Test root: ', '96.67', '   Train: ', '90.02', '   Train root: ', '95.21')
+('epoch: ', 19, 'V all: ', '89.16', '   Test all: ', '87.56', 'V root: ', '90.83', '   Test root: ', '95.83', '   Train: ', '90.22', '   Train root: ', '94.79')
+('epoch: ', 20, 'V all: ', '89.16', '   Test all: ', '87.72', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '90.47', '   Train root: ', '93.75')
+('epoch: ', 21, 'V all: ', '89.16', '   Test all: ', '88.37', 'V root: ', '88.33', '   Test root: ', '95.83', '   Train: ', '90.81', '   Train root: ', '94.38')
+('epoch: ', 22, 'V all: ', '89.16', '   Test all: ', '88.21', 'V root: ', '86.67', '   Test root: ', '95.00', '   Train: ', '90.87', '   Train root: ', '94.17')
+('epoch: ', 23, 'V all: ', '89.39', '   Test all: ', '88.46', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '90.95', '   Train root: ', '94.27')
+('Best valid: ', '89.47', ' Test all: ', '87.48', 'Test root: ', '96.67', '   time: ', 657.3402750492096)
+
+
+
+model LSTM_1_6 :  h_dim =  30  learning rate =  0.01  noise_rate = 0.3  noise_std = 0.02 lambda =  0.001
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '83.21', '   Test all: ', '82.20', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.98', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '85.19', '   Test all: ', '84.39', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '84.26', '   Train root: ', '92.50')
+('epoch: ', 4, 'V all: ', '86.95', '   Test all: ', '84.88', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '85.71', '   Train root: ', '92.50')
+('epoch: ', 5, 'V all: ', '86.64', '   Test all: ', '85.12', 'V root: ', '90.00', '   Test root: ', '92.50', '   Train: ', '85.89', '   Train root: ', '90.73')
+('epoch: ', 6, 'V all: ', '87.86', '   Test all: ', '85.53', 'V root: ', '93.33', '   Test root: ', '94.17', '   Train: ', '86.47', '   Train root: ', '93.23')
+('epoch: ', 7, 'V all: ', '87.79', '   Test all: ', '86.02', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '86.93', '   Train root: ', '93.23')
+('epoch: ', 8, 'V all: ', '88.63', '   Test all: ', '86.26', 'V root: ', '94.17', '   Test root: ', '95.83', '   Train: ', '87.31', '   Train root: ', '93.85')
+('epoch: ', 9, 'V all: ', '87.56', '   Test all: ', '86.67', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '87.74', '   Train root: ', '91.56')
+('epoch: ', 10, 'V all: ', '88.17', '   Test all: ', '87.24', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '88.04', '   Train root: ', '92.71')
+('epoch: ', 11, 'V all: ', '88.40', '   Test all: ', '86.99', 'V root: ', '89.17', '   Test root: ', '95.83', '   Train: ', '88.51', '   Train root: ', '93.96')
+('epoch: ', 12, 'V all: ', '88.78', '   Test all: ', '87.15', 'V root: ', '90.83', '   Test root: ', '97.50', '   Train: ', '88.77', '   Train root: ', '94.38')
+('epoch: ', 13, 'V all: ', '88.47', '   Test all: ', '87.32', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '89.17', '   Train root: ', '92.92')
+('epoch: ', 14, 'V all: ', '88.40', '   Test all: ', '87.07', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '89.42', '   Train root: ', '92.92')
+('epoch: ', 15, 'V all: ', '88.85', '   Test all: ', '87.40', 'V root: ', '90.00', '   Test root: ', '97.50', '   Train: ', '89.37', '   Train root: ', '95.21')
+('epoch: ', 16, 'V all: ', '88.93', '   Test all: ', '87.24', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '89.74', '   Train root: ', '93.54')
+('epoch: ', 17, 'V all: ', '89.16', '   Test all: ', '87.72', 'V root: ', '86.67', '   Test root: ', '90.83', '   Train: ', '90.01', '   Train root: ', '91.88')
+('epoch: ', 18, 'V all: ', '89.54', '   Test all: ', '87.32', 'V root: ', '91.67', '   Test root: ', '96.67', '   Train: ', '90.04', '   Train root: ', '95.31')
+('epoch: ', 19, 'V all: ', '89.08', '   Test all: ', '87.56', 'V root: ', '90.00', '   Test root: ', '95.83', '   Train: ', '90.24', '   Train root: ', '94.69')
+('epoch: ', 20, 'V all: ', '89.24', '   Test all: ', '87.56', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '90.47', '   Train root: ', '93.75')
+('epoch: ', 21, 'V all: ', '89.24', '   Test all: ', '88.29', 'V root: ', '88.33', '   Test root: ', '95.83', '   Train: ', '90.82', '   Train root: ', '94.38')
+('epoch: ', 22, 'V all: ', '89.31', '   Test all: ', '88.21', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '90.90', '   Train root: ', '94.27')
+('epoch: ', 23, 'V all: ', '89.39', '   Test all: ', '88.54', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '90.99', '   Train root: ', '94.38')
+('Best valid: ', '89.54', ' Test all: ', '87.32', 'Test root: ', '96.67', '   time: ', 848.8418920040131)
+
+
+model LSTM_1_6 :  h_dim =  30  learning rate =  0.01  lambda =  0.001  noise_rate =  0.1  noise_std =  0.05  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '83.21', '   Test all: ', '82.20', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.98', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '85.19', '   Test all: ', '84.39', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '84.24', '   Train root: ', '92.50')
+('epoch: ', 4, 'V all: ', '86.95', '   Test all: ', '84.88', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '85.73', '   Train root: ', '92.60')
+('epoch: ', 5, 'V all: ', '86.72', '   Test all: ', '85.12', 'V root: ', '90.83', '   Test root: ', '92.50', '   Train: ', '85.90', '   Train root: ', '90.83')
+('epoch: ', 6, 'V all: ', '88.02', '   Test all: ', '85.53', 'V root: ', '95.00', '   Test root: ', '95.00', '   Train: ', '86.50', '   Train root: ', '93.23')
+('epoch: ', 7, 'V all: ', '87.79', '   Test all: ', '85.85', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '86.90', '   Train root: ', '93.12')
+('epoch: ', 8, 'V all: ', '88.63', '   Test all: ', '86.26', 'V root: ', '94.17', '   Test root: ', '95.83', '   Train: ', '87.30', '   Train root: ', '93.85')
+('epoch: ', 9, 'V all: ', '87.63', '   Test all: ', '86.59', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '87.74', '   Train root: ', '91.56')
+('epoch: ', 10, 'V all: ', '88.17', '   Test all: ', '87.24', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '88.05', '   Train root: ', '92.81')
+('epoch: ', 11, 'V all: ', '88.32', '   Test all: ', '86.99', 'V root: ', '89.17', '   Test root: ', '95.83', '   Train: ', '88.50', '   Train root: ', '93.96')
+('epoch: ', 12, 'V all: ', '88.78', '   Test all: ', '87.07', 'V root: ', '90.83', '   Test root: ', '96.67', '   Train: ', '88.70', '   Train root: ', '94.27')
+('epoch: ', 13, 'V all: ', '88.55', '   Test all: ', '87.24', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '89.24', '   Train root: ', '92.92')
+('epoch: ', 14, 'V all: ', '88.40', '   Test all: ', '87.07', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '89.40', '   Train root: ', '92.92')
+('epoch: ', 15, 'V all: ', '88.93', '   Test all: ', '87.40', 'V root: ', '90.83', '   Test root: ', '97.50', '   Train: ', '89.38', '   Train root: ', '95.21')
+('epoch: ', 16, 'V all: ', '88.93', '   Test all: ', '87.40', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '89.74', '   Train root: ', '93.54')
+('epoch: ', 17, 'V all: ', '89.08', '   Test all: ', '87.72', 'V root: ', '86.67', '   Test root: ', '90.83', '   Train: ', '90.03', '   Train root: ', '91.98')
+('epoch: ', 18, 'V all: ', '89.47', '   Test all: ', '87.40', 'V root: ', '91.67', '   Test root: ', '96.67', '   Train: ', '90.09', '   Train root: ', '95.21')
+('epoch: ', 19, 'V all: ', '89.16', '   Test all: ', '87.56', 'V root: ', '90.83', '   Test root: ', '95.83', '   Train: ', '90.22', '   Train root: ', '94.69')
+('epoch: ', 20, 'V all: ', '89.16', '   Test all: ', '87.64', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '90.46', '   Train root: ', '93.85')
+('epoch: ', 21, 'V all: ', '89.16', '   Test all: ', '88.37', 'V root: ', '88.33', '   Test root: ', '95.83', '   Train: ', '90.79', '   Train root: ', '94.17')
+('epoch: ', 22, 'V all: ', '89.24', '   Test all: ', '88.13', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '90.86', '   Train root: ', '94.27')
+('epoch: ', 23, 'V all: ', '89.39', '   Test all: ', '88.54', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '91.00', '   Train root: ', '94.38')
+('Best valid: ', '89.47', ' Test all: ', '87.40', 'Test root: ', '96.67', '   time: ', 1037.0162649154663)
+
+
+model LSTM_1_6 :  h_dim =  30  learning rate =  0.01  lambda =  0.001  noise_rate =  0.1  noise_std =  0.05  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '83.21', '   Test all: ', '82.20', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.98', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '85.19', '   Test all: ', '84.39', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '84.24', '   Train root: ', '92.50')
+('epoch: ', 4, 'V all: ', '86.95', '   Test all: ', '84.88', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '85.73', '   Train root: ', '92.60')
+('epoch: ', 5, 'V all: ', '86.72', '   Test all: ', '85.12', 'V root: ', '90.83', '   Test root: ', '92.50', '   Train: ', '85.90', '   Train root: ', '90.83')
+('epoch: ', 6, 'V all: ', '88.02', '   Test all: ', '85.53', 'V root: ', '95.00', '   Test root: ', '95.00', '   Train: ', '86.50', '   Train root: ', '93.23')
+('epoch: ', 7, 'V all: ', '87.79', '   Test all: ', '85.85', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '86.90', '   Train root: ', '93.12')
+('epoch: ', 8, 'V all: ', '88.63', '   Test all: ', '86.26', 'V root: ', '94.17', '   Test root: ', '95.83', '   Train: ', '87.30', '   Train root: ', '93.85')
+('epoch: ', 9, 'V all: ', '87.63', '   Test all: ', '86.59', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '87.74', '   Train root: ', '91.56')
+('epoch: ', 10, 'V all: ', '88.17', '   Test all: ', '87.24', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '88.05', '   Train root: ', '92.81')
+('epoch: ', 11, 'V all: ', '88.32', '   Test all: ', '86.99', 'V root: ', '89.17', '   Test root: ', '95.83', '   Train: ', '88.50', '   Train root: ', '93.96')
+('epoch: ', 12, 'V all: ', '88.78', '   Test all: ', '87.07', 'V root: ', '90.83', '   Test root: ', '96.67', '   Train: ', '88.70', '   Train root: ', '94.27')
+('epoch: ', 13, 'V all: ', '88.55', '   Test all: ', '87.24', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '89.24', '   Train root: ', '92.92')
+('epoch: ', 14, 'V all: ', '88.40', '   Test all: ', '87.07', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '89.40', '   Train root: ', '92.92')
+('epoch: ', 15, 'V all: ', '88.93', '   Test all: ', '87.40', 'V root: ', '90.83', '   Test root: ', '97.50', '   Train: ', '89.38', '   Train root: ', '95.21')
+('epoch: ', 16, 'V all: ', '88.93', '   Test all: ', '87.40', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '89.74', '   Train root: ', '93.54')
+('epoch: ', 17, 'V all: ', '89.08', '   Test all: ', '87.72', 'V root: ', '86.67', '   Test root: ', '90.83', '   Train: ', '90.03', '   Train root: ', '91.98')
+('epoch: ', 18, 'V all: ', '89.47', '   Test all: ', '87.40', 'V root: ', '91.67', '   Test root: ', '96.67', '   Train: ', '90.09', '   Train root: ', '95.21')
+('epoch: ', 19, 'V all: ', '89.16', '   Test all: ', '87.56', 'V root: ', '90.83', '   Test root: ', '95.83', '   Train: ', '90.22', '   Train root: ', '94.69')
+('epoch: ', 20, 'V all: ', '89.16', '   Test all: ', '87.64', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '90.46', '   Train root: ', '93.85')
+('epoch: ', 21, 'V all: ', '89.16', '   Test all: ', '88.37', 'V root: ', '88.33', '   Test root: ', '95.83', '   Train: ', '90.79', '   Train root: ', '94.17')
+('epoch: ', 22, 'V all: ', '89.24', '   Test all: ', '88.13', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '90.86', '   Train root: ', '94.27')
+('epoch: ', 23, 'V all: ', '89.39', '   Test all: ', '88.54', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '91.00', '   Train root: ', '94.38')
+('epoch: ', 24, 'V all: ', '89.16', '   Test all: ', '88.37', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '91.26', '   Train root: ', '94.48')
+('epoch: ', 25, 'V all: ', '89.16', '   Test all: ', '88.62', 'V root: ', '86.67', '   Test root: ', '95.00', '   Train: ', '91.32', '   Train root: ', '95.31')
+('epoch: ', 26, 'V all: ', '89.39', '   Test all: ', '88.21', 'V root: ', '88.33', '   Test root: ', '91.67', '   Train: ', '91.56', '   Train root: ', '94.79')
+('epoch: ', 27, 'V all: ', '89.39', '   Test all: ', '88.46', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '91.61', '   Train root: ', '95.42')
+('epoch: ', 28, 'V all: ', '89.77', '   Test all: ', '88.46', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '91.75', '   Train root: ', '95.42')
+('epoch: ', 29, 'V all: ', '89.39', '   Test all: ', '88.54', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '91.81', '   Train root: ', '95.21')
+('epoch: ', 30, 'V all: ', '90.00', '   Test all: ', '88.70', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '91.78', '   Train root: ', '96.04')
+('epoch: ', 31, 'V all: ', '89.31', '   Test all: ', '88.54', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '91.91', '   Train root: ', '95.83')
+('epoch: ', 32, 'V all: ', '89.92', '   Test all: ', '88.70', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '92.23', '   Train root: ', '95.94')
+('epoch: ', 33, 'V all: ', '90.15', '   Test all: ', '89.11', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '92.45', '   Train root: ', '96.15')
+('epoch: ', 34, 'V all: ', '90.00', '   Test all: ', '89.19', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '92.59', '   Train root: ', '96.15')
+('epoch: ', 35, 'V all: ', '89.92', '   Test all: ', '88.94', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '92.75', '   Train root: ', '95.73')
+('epoch: ', 36, 'V all: ', '89.77', '   Test all: ', '88.94', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '92.89', '   Train root: ', '95.62')
+('epoch: ', 37, 'V all: ', '89.69', '   Test all: ', '89.19', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '92.90', '   Train root: ', '95.94')
+('epoch: ', 38, 'V all: ', '90.00', '   Test all: ', '89.43', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '93.26', '   Train root: ', '95.83')
+('epoch: ', 39, 'V all: ', '90.00', '   Test all: ', '89.76', 'V root: ', '87.50', '   Test root: ', '95.83', '   Train: ', '93.03', '   Train root: ', '96.35')
+('epoch: ', 40, 'V all: ', '89.92', '   Test all: ', '89.76', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '93.42', '   Train root: ', '96.46')
+('epoch: ', 41, 'V all: ', '89.85', '   Test all: ', '89.51', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '93.47', '   Train root: ', '96.56')
+('epoch: ', 42, 'V all: ', '90.08', '   Test all: ', '89.59', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '93.49', '   Train root: ', '96.98')
+('epoch: ', 43, 'V all: ', '90.15', '   Test all: ', '89.51', 'V root: ', '86.67', '   Test root: ', '95.00', '   Train: ', '93.75', '   Train root: ', '96.98')
+('epoch: ', 44, 'V all: ', '90.46', '   Test all: ', '89.19', 'V root: ', '86.67', '   Test root: ', '90.00', '   Train: ', '94.09', '   Train root: ', '95.62')
+('epoch: ', 45, 'V all: ', '89.77', '   Test all: ', '89.76', 'V root: ', '86.67', '   Test root: ', '93.33', '   Train: ', '94.10', '   Train root: ', '96.67')
+('epoch: ', 46, 'V all: ', '90.00', '   Test all: ', '89.27', 'V root: ', '85.00', '   Test root: ', '90.83', '   Train: ', '94.27', '   Train root: ', '96.15')
+('epoch: ', 47, 'V all: ', '90.46', '   Test all: ', '89.51', 'V root: ', '86.67', '   Test root: ', '93.33', '   Train: ', '94.41', '   Train root: ', '96.25')
+('epoch: ', 48, 'V all: ', '90.38', '   Test all: ', '89.92', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '94.28', '   Train root: ', '97.19')
+('epoch: ', 49, 'V all: ', '90.53', '   Test all: ', '89.43', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '94.52', '   Train root: ', '97.19')
+('epoch: ', 50, 'V all: ', '90.53', '   Test all: ', '89.51', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '94.43', '   Train root: ', '96.25')
+('epoch: ', 51, 'V all: ', '90.00', '   Test all: ', '89.67', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '94.35', '   Train root: ', '97.71')
+('epoch: ', 52, 'V all: ', '90.15', '   Test all: ', '89.59', 'V root: ', '83.33', '   Test root: ', '92.50', '   Train: ', '94.74', '   Train root: ', '97.40')
+('epoch: ', 53, 'V all: ', '90.31', '   Test all: ', '89.59', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '94.54', '   Train root: ', '97.29')
+('epoch: ', 54, 'V all: ', '90.53', '   Test all: ', '89.76', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '94.74', '   Train root: ', '97.50')
+('epoch: ', 55, 'V all: ', '90.46', '   Test all: ', '89.67', 'V root: ', '86.67', '   Test root: ', '95.00', '   Train: ', '94.97', '   Train root: ', '97.50')
+('epoch: ', 56, 'V all: ', '90.00', '   Test all: ', '89.43', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '94.91', '   Train root: ', '98.12')
+('epoch: ', 57, 'V all: ', '90.38', '   Test all: ', '89.76', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '94.94', '   Train root: ', '97.92')
+('epoch: ', 58, 'V all: ', '90.31', '   Test all: ', '89.51', 'V root: ', '85.00', '   Test root: ', '94.17', '   Train: ', '95.22', '   Train root: ', '97.40')
+('epoch: ', 59, 'V all: ', '90.69', '   Test all: ', '89.67', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '94.92', '   Train root: ', '97.81')
+('Best valid: ', '90.69', ' Test all: ', '89.67', 'Test root: ', '94.17', '   time: ', 3612.8250670433044)
+
+
+model LSTM_1_6 :  h_dim =  30  learning rate =  0.01  lambda =  0.001  noise_rate =  0.3  noise_std =  0.02  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '83.21', '   Test all: ', '82.20', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.98', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '85.19', '   Test all: ', '84.39', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '84.26', '   Train root: ', '92.50')
+('epoch: ', 4, 'V all: ', '86.95', '   Test all: ', '84.88', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '85.71', '   Train root: ', '92.50')
+('epoch: ', 5, 'V all: ', '86.64', '   Test all: ', '85.12', 'V root: ', '90.00', '   Test root: ', '92.50', '   Train: ', '85.89', '   Train root: ', '90.73')
+('epoch: ', 6, 'V all: ', '87.86', '   Test all: ', '85.53', 'V root: ', '93.33', '   Test root: ', '94.17', '   Train: ', '86.47', '   Train root: ', '93.23')
+('epoch: ', 7, 'V all: ', '87.79', '   Test all: ', '86.02', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '86.93', '   Train root: ', '93.23')
+('epoch: ', 8, 'V all: ', '88.63', '   Test all: ', '86.26', 'V root: ', '94.17', '   Test root: ', '95.83', '   Train: ', '87.31', '   Train root: ', '93.85')
+('epoch: ', 9, 'V all: ', '87.56', '   Test all: ', '86.67', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '87.74', '   Train root: ', '91.56')
+('epoch: ', 10, 'V all: ', '88.17', '   Test all: ', '87.24', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '88.04', '   Train root: ', '92.71')
+('epoch: ', 11, 'V all: ', '88.40', '   Test all: ', '86.99', 'V root: ', '89.17', '   Test root: ', '95.83', '   Train: ', '88.51', '   Train root: ', '93.96')
+('epoch: ', 12, 'V all: ', '88.78', '   Test all: ', '87.15', 'V root: ', '90.83', '   Test root: ', '97.50', '   Train: ', '88.77', '   Train root: ', '94.38')
+('epoch: ', 13, 'V all: ', '88.47', '   Test all: ', '87.32', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '89.17', '   Train root: ', '92.92')
+('epoch: ', 14, 'V all: ', '88.40', '   Test all: ', '87.07', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '89.42', '   Train root: ', '92.92')
+('epoch: ', 15, 'V all: ', '88.85', '   Test all: ', '87.40', 'V root: ', '90.00', '   Test root: ', '97.50', '   Train: ', '89.37', '   Train root: ', '95.21')
+('epoch: ', 16, 'V all: ', '88.93', '   Test all: ', '87.24', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '89.74', '   Train root: ', '93.54')
+('epoch: ', 17, 'V all: ', '89.16', '   Test all: ', '87.72', 'V root: ', '86.67', '   Test root: ', '90.83', '   Train: ', '90.01', '   Train root: ', '91.88')
+('epoch: ', 18, 'V all: ', '89.54', '   Test all: ', '87.32', 'V root: ', '91.67', '   Test root: ', '96.67', '   Train: ', '90.04', '   Train root: ', '95.31')
+('epoch: ', 19, 'V all: ', '89.08', '   Test all: ', '87.56', 'V root: ', '90.00', '   Test root: ', '95.83', '   Train: ', '90.24', '   Train root: ', '94.69')
+('epoch: ', 20, 'V all: ', '89.24', '   Test all: ', '87.56', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '90.47', '   Train root: ', '93.75')
+('epoch: ', 21, 'V all: ', '89.24', '   Test all: ', '88.29', 'V root: ', '88.33', '   Test root: ', '95.83', '   Train: ', '90.82', '   Train root: ', '94.38')
+('epoch: ', 22, 'V all: ', '89.31', '   Test all: ', '88.21', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '90.90', '   Train root: ', '94.27')
+('epoch: ', 23, 'V all: ', '89.39', '   Test all: ', '88.54', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '90.99', '   Train root: ', '94.38')
+('epoch: ', 24, 'V all: ', '89.16', '   Test all: ', '88.37', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '91.26', '   Train root: ', '94.38')
+('epoch: ', 25, 'V all: ', '89.24', '   Test all: ', '88.54', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '91.36', '   Train root: ', '95.52')
+('epoch: ', 26, 'V all: ', '89.31', '   Test all: ', '88.13', 'V root: ', '88.33', '   Test root: ', '90.83', '   Train: ', '91.64', '   Train root: ', '94.79')
+('epoch: ', 27, 'V all: ', '89.39', '   Test all: ', '88.37', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '91.63', '   Train root: ', '95.42')
+('epoch: ', 28, 'V all: ', '89.77', '   Test all: ', '88.54', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '91.76', '   Train root: ', '95.52')
+('epoch: ', 29, 'V all: ', '89.39', '   Test all: ', '88.54', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '91.83', '   Train root: ', '95.31')
+('epoch: ', 30, 'V all: ', '89.92', '   Test all: ', '88.78', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '91.77', '   Train root: ', '96.04')
+('epoch: ', 31, 'V all: ', '89.39', '   Test all: ', '88.62', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '91.97', '   Train root: ', '95.83')
+('epoch: ', 32, 'V all: ', '89.85', '   Test all: ', '88.62', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '92.25', '   Train root: ', '95.94')
+('epoch: ', 33, 'V all: ', '90.08', '   Test all: ', '89.02', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '92.51', '   Train root: ', '96.04')
+('epoch: ', 34, 'V all: ', '90.08', '   Test all: ', '89.02', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '92.58', '   Train root: ', '96.15')
+('epoch: ', 35, 'V all: ', '89.92', '   Test all: ', '88.78', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '92.78', '   Train root: ', '95.73')
+('epoch: ', 36, 'V all: ', '89.77', '   Test all: ', '88.86', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '92.88', '   Train root: ', '95.62')
+('epoch: ', 37, 'V all: ', '89.77', '   Test all: ', '89.19', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '92.98', '   Train root: ', '95.94')
+('epoch: ', 38, 'V all: ', '89.92', '   Test all: ', '89.35', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '93.21', '   Train root: ', '95.83')
+('epoch: ', 39, 'V all: ', '90.00', '   Test all: ', '89.84', 'V root: ', '87.50', '   Test root: ', '95.83', '   Train: ', '93.01', '   Train root: ', '96.35')
+('epoch: ', 40, 'V all: ', '89.85', '   Test all: ', '89.92', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '93.39', '   Train root: ', '96.56')
+('epoch: ', 41, 'V all: ', '89.77', '   Test all: ', '89.43', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '93.44', '   Train root: ', '96.67')
+('epoch: ', 42, 'V all: ', '90.08', '   Test all: ', '89.59', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '93.61', '   Train root: ', '97.08')
+('epoch: ', 43, 'V all: ', '90.15', '   Test all: ', '89.67', 'V root: ', '86.67', '   Test root: ', '95.00', '   Train: ', '93.70', '   Train root: ', '96.98')
+('epoch: ', 44, 'V all: ', '90.46', '   Test all: ', '89.19', 'V root: ', '86.67', '   Test root: ', '90.83', '   Train: ', '94.07', '   Train root: ', '95.62')
+('epoch: ', 45, 'V all: ', '89.77', '   Test all: ', '89.59', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '94.07', '   Train root: ', '96.77')
+('epoch: ', 46, 'V all: ', '89.92', '   Test all: ', '89.19', 'V root: ', '85.83', '   Test root: ', '91.67', '   Train: ', '94.26', '   Train root: ', '96.25')
+('epoch: ', 47, 'V all: ', '90.23', '   Test all: ', '89.51', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '94.39', '   Train root: ', '96.35')
+('epoch: ', 48, 'V all: ', '90.31', '   Test all: ', '89.84', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '94.27', '   Train root: ', '96.98')
+('epoch: ', 49, 'V all: ', '90.53', '   Test all: ', '89.43', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '94.51', '   Train root: ', '97.29')
+('epoch: ', 50, 'V all: ', '90.61', '   Test all: ', '89.43', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '94.45', '   Train root: ', '96.56')
+('epoch: ', 51, 'V all: ', '90.00', '   Test all: ', '89.67', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '94.32', '   Train root: ', '97.71')
+('epoch: ', 52, 'V all: ', '90.15', '   Test all: ', '89.51', 'V root: ', '83.33', '   Test root: ', '92.50', '   Train: ', '94.72', '   Train root: ', '97.40')
+('epoch: ', 53, 'V all: ', '90.31', '   Test all: ', '89.59', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '94.60', '   Train root: ', '97.19')
+('epoch: ', 54, 'V all: ', '90.53', '   Test all: ', '89.67', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '94.73', '   Train root: ', '97.71')
+('epoch: ', 55, 'V all: ', '90.23', '   Test all: ', '89.67', 'V root: ', '86.67', '   Test root: ', '95.00', '   Train: ', '95.02', '   Train root: ', '97.71')
+('epoch: ', 56, 'V all: ', '90.08', '   Test all: ', '89.51', 'V root: ', '86.67', '   Test root: ', '95.00', '   Train: ', '94.87', '   Train root: ', '98.12')
+('epoch: ', 57, 'V all: ', '90.46', '   Test all: ', '89.67', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '94.95', '   Train root: ', '98.02')
+('epoch: ', 58, 'V all: ', '90.31', '   Test all: ', '89.59', 'V root: ', '85.00', '   Test root: ', '94.17', '   Train: ', '95.22', '   Train root: ', '97.50')
+('epoch: ', 59, 'V all: ', '90.53', '   Test all: ', '89.84', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '94.91', '   Train root: ', '97.81')
+('Best valid: ', '90.61', ' Test all: ', '89.43', 'Test root: ', '93.33', '   time: ', 3629.7187118530273)
+
+
+model LSTM_1_5 :  h_dim =  30  learning rate =  0.01  lambda =  0.001  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 4, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 5, 'V all: ', '83.36', '   Test all: ', '82.36', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '82.07', '   Train root: ', '90.94')
+('epoch: ', 6, 'V all: ', '84.12', '   Test all: ', '82.60', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '82.52', '   Train root: ', '91.15')
+('epoch: ', 7, 'V all: ', '84.96', '   Test all: ', '84.23', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '83.74', '   Train root: ', '91.15')
+('epoch: ', 8, 'V all: ', '85.73', '   Test all: ', '84.72', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '84.23', '   Train root: ', '91.67')
+('epoch: ', 9, 'V all: ', '86.56', '   Test all: ', '84.63', 'V root: ', '92.50', '   Test root: ', '93.33', '   Train: ', '85.19', '   Train root: ', '91.35')
+('epoch: ', 10, 'V all: ', '87.10', '   Test all: ', '84.80', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '85.34', '   Train root: ', '92.50')
+('epoch: ', 11, 'V all: ', '86.79', '   Test all: ', '84.72', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '85.14', '   Train root: ', '93.33')
+('epoch: ', 12, 'V all: ', '87.18', '   Test all: ', '84.80', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '85.44', '   Train root: ', '93.65')
+('epoch: ', 13, 'V all: ', '87.79', '   Test all: ', '85.61', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '86.17', '   Train root: ', '92.29')
+('epoch: ', 14, 'V all: ', '87.25', '   Test all: ', '85.28', 'V root: ', '90.83', '   Test root: ', '95.83', '   Train: ', '86.18', '   Train root: ', '93.02')
+('epoch: ', 15, 'V all: ', '87.63', '   Test all: ', '85.12', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '86.03', '   Train root: ', '93.12')
+('epoch: ', 16, 'V all: ', '88.32', '   Test all: ', '85.77', 'V root: ', '90.00', '   Test root: ', '95.83', '   Train: ', '86.41', '   Train root: ', '92.60')
+('epoch: ', 17, 'V all: ', '87.86', '   Test all: ', '85.85', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '86.56', '   Train root: ', '92.81')
+('epoch: ', 18, 'V all: ', '87.86', '   Test all: ', '85.28', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '86.32', '   Train root: ', '94.06')
+('epoch: ', 19, 'V all: ', '88.17', '   Test all: ', '85.04', 'V root: ', '93.33', '   Test root: ', '95.83', '   Train: ', '86.19', '   Train root: ', '93.65')
+('epoch: ', 20, 'V all: ', '88.32', '   Test all: ', '85.61', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '86.66', '   Train root: ', '93.85')
+('epoch: ', 21, 'V all: ', '88.24', '   Test all: ', '86.18', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '87.17', '   Train root: ', '92.08')
+('epoch: ', 22, 'V all: ', '88.24', '   Test all: ', '85.53', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '86.99', '   Train root: ', '93.54')
+('epoch: ', 23, 'V all: ', '88.32', '   Test all: ', '85.69', 'V root: ', '93.33', '   Test root: ', '95.83', '   Train: ', '86.59', '   Train root: ', '93.85')
+('epoch: ', 24, 'V all: ', '88.24', '   Test all: ', '86.26', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '87.21', '   Train root: ', '90.42')
+('epoch: ', 25, 'V all: ', '88.55', '   Test all: ', '86.10', 'V root: ', '90.83', '   Test root: ', '95.83', '   Train: ', '86.85', '   Train root: ', '94.38')
+('epoch: ', 26, 'V all: ', '88.02', '   Test all: ', '86.18', 'V root: ', '90.00', '   Test root: ', '91.67', '   Train: ', '87.23', '   Train root: ', '89.58')
+('epoch: ', 27, 'V all: ', '88.63', '   Test all: ', '86.10', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '87.16', '   Train root: ', '93.96')
+('epoch: ', 28, 'V all: ', '88.70', '   Test all: ', '85.93', 'V root: ', '93.33', '   Test root: ', '94.17', '   Train: ', '87.26', '   Train root: ', '94.06')
+('epoch: ', 29, 'V all: ', '88.47', '   Test all: ', '86.02', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '87.03', '   Train root: ', '93.65')
+('epoch: ', 30, 'V all: ', '88.47', '   Test all: ', '85.85', 'V root: ', '93.33', '   Test root: ', '96.67', '   Train: ', '87.05', '   Train root: ', '93.85')
+('epoch: ', 31, 'V all: ', '88.17', '   Test all: ', '85.93', 'V root: ', '93.33', '   Test root: ', '95.83', '   Train: ', '86.96', '   Train root: ', '93.75')
+('epoch: ', 32, 'V all: ', '87.86', '   Test all: ', '86.91', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '87.71', '   Train root: ', '93.12')
+('epoch: ', 33, 'V all: ', '88.47', '   Test all: ', '86.02', 'V root: ', '93.33', '   Test root: ', '96.67', '   Train: ', '87.15', '   Train root: ', '94.27')
+('Best valid: ', '88.70', ' Test all: ', '85.93', 'Test root: ', '94.17', '   time: ', 1217.9773988723755)
+
+
+model LSTM_1_5 :  h_dim =  30  learning rate =  0.01  lambda =  0.0005  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '84.35', '   Test all: ', '82.85', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '82.87', '   Train root: ', '91.04')
+('epoch: ', 4, 'V all: ', '86.03', '   Test all: ', '84.96', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '84.67', '   Train root: ', '92.19')
+('epoch: ', 5, 'V all: ', '86.49', '   Test all: ', '85.45', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '85.57', '   Train root: ', '91.88')
+('epoch: ', 6, 'V all: ', '87.25', '   Test all: ', '85.04', 'V root: ', '94.17', '   Test root: ', '95.83', '   Train: ', '85.51', '   Train root: ', '93.54')
+('epoch: ', 7, 'V all: ', '87.18', '   Test all: ', '85.20', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '85.86', '   Train root: ', '92.71')
+('epoch: ', 8, 'V all: ', '87.63', '   Test all: ', '85.37', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '86.02', '   Train root: ', '93.65')
+('epoch: ', 9, 'V all: ', '87.33', '   Test all: ', '85.77', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '86.29', '   Train root: ', '90.73')
+('epoch: ', 10, 'V all: ', '88.09', '   Test all: ', '85.69', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '86.39', '   Train root: ', '92.50')
+('epoch: ', 11, 'V all: ', '88.17', '   Test all: ', '85.61', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '86.47', '   Train root: ', '93.85')
+('epoch: ', 12, 'V all: ', '87.94', '   Test all: ', '85.61', 'V root: ', '93.33', '   Test root: ', '96.67', '   Train: ', '86.22', '   Train root: ', '94.17')
+('epoch: ', 13, 'V all: ', '87.71', '   Test all: ', '86.26', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '86.91', '   Train root: ', '91.56')
+('epoch: ', 14, 'V all: ', '88.09', '   Test all: ', '86.18', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '86.95', '   Train root: ', '92.60')
+('epoch: ', 15, 'V all: ', '88.17', '   Test all: ', '85.85', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '86.76', '   Train root: ', '94.17')
+('epoch: ', 16, 'V all: ', '88.09', '   Test all: ', '86.26', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '87.09', '   Train root: ', '91.67')
+('epoch: ', 17, 'V all: ', '87.86', '   Test all: ', '86.59', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '87.21', '   Train root: ', '90.94')
+('epoch: ', 18, 'V all: ', '88.32', '   Test all: ', '86.67', 'V root: ', '93.33', '   Test root: ', '95.83', '   Train: ', '87.19', '   Train root: ', '93.85')
+('epoch: ', 19, 'V all: ', '88.47', '   Test all: ', '86.42', 'V root: ', '94.17', '   Test root: ', '95.83', '   Train: ', '87.23', '   Train root: ', '94.17')
+('epoch: ', 20, 'V all: ', '88.32', '   Test all: ', '86.10', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '87.45', '   Train root: ', '94.06')
+('epoch: ', 21, 'V all: ', '88.47', '   Test all: ', '86.42', 'V root: ', '92.50', '   Test root: ', '94.17', '   Train: ', '87.81', '   Train root: ', '92.19')
+('epoch: ', 22, 'V all: ', '88.02', '   Test all: ', '85.93', 'V root: ', '92.50', '   Test root: ', '93.33', '   Train: ', '87.71', '   Train root: ', '93.02')
+('epoch: ', 23, 'V all: ', '88.24', '   Test all: ', '86.18', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '87.58', '   Train root: ', '94.48')
+('epoch: ', 24, 'V all: ', '88.17', '   Test all: ', '86.42', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '88.12', '   Train root: ', '89.69')
+('epoch: ', 25, 'V all: ', '88.24', '   Test all: ', '86.50', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '87.94', '   Train root: ', '93.54')
+('epoch: ', 26, 'V all: ', '88.02', '   Test all: ', '86.91', 'V root: ', '87.50', '   Test root: ', '88.33', '   Train: ', '88.44', '   Train root: ', '88.75')
+('Best valid: ', '88.47', ' Test all: ', '86.42', 'Test root: ', '94.17', '   time: ', 1528.7234609127045)
+
+model LSTM_1_5 :  h_dim =  50  learning rate =  0.01  lambda =  0.0005  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.87', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '84.58', '   Test all: ', '83.50', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '83.38', '   Train root: ', '91.56')
+('epoch: ', 4, 'V all: ', '86.56', '   Test all: ', '84.55', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '84.89', '   Train root: ', '93.12')
+('epoch: ', 5, 'V all: ', '86.49', '   Test all: ', '85.12', 'V root: ', '89.17', '   Test root: ', '92.50', '   Train: ', '85.64', '   Train root: ', '90.73')
+('epoch: ', 6, 'V all: ', '87.10', '   Test all: ', '84.96', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '85.74', '   Train root: ', '92.71')
+('epoch: ', 7, 'V all: ', '87.40', '   Test all: ', '85.28', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '86.04', '   Train root: ', '92.19')
+('epoch: ', 8, 'V all: ', '87.63', '   Test all: ', '85.45', 'V root: ', '90.83', '   Test root: ', '95.83', '   Train: ', '86.02', '   Train root: ', '93.44')
+('epoch: ', 9, 'V all: ', '87.48', '   Test all: ', '85.85', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '86.49', '   Train root: ', '90.52')
+('epoch: ', 10, 'V all: ', '87.94', '   Test all: ', '85.69', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '86.46', '   Train root: ', '92.81')
+('epoch: ', 11, 'V all: ', '88.17', '   Test all: ', '85.69', 'V root: ', '90.00', '   Test root: ', '95.83', '   Train: ', '86.65', '   Train root: ', '92.92')
+('epoch: ', 12, 'V all: ', '88.02', '   Test all: ', '85.69', 'V root: ', '91.67', '   Test root: ', '96.67', '   Train: ', '86.48', '   Train root: ', '94.48')
+('epoch: ', 13, 'V all: ', '88.09', '   Test all: ', '86.18', 'V root: ', '90.00', '   Test root: ', '93.33', '   Train: ', '87.22', '   Train root: ', '90.94')
+('epoch: ', 14, 'V all: ', '87.79', '   Test all: ', '85.85', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '87.18', '   Train root: ', '90.73')
+('epoch: ', 15, 'V all: ', '87.86', '   Test all: ', '85.45', 'V root: ', '90.00', '   Test root: ', '95.83', '   Train: ', '86.91', '   Train root: ', '93.85')
+('epoch: ', 16, 'V all: ', '87.94', '   Test all: ', '86.02', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '87.20', '   Train root: ', '91.46')
+('Best valid: ', '88.17', ' Test all: ', '85.69', 'Test root: ', '95.83', '   time: ', 1931.5932178497314)
+
+model LSTM_1_5 :  h_dim =  30  learning rate =  0.01  lambda =  0.0001  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '83.05', '   Test all: ', '82.20', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.96', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '85.11', '   Test all: ', '84.31', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '84.14', '   Train root: ', '92.08')
+('epoch: ', 4, 'V all: ', '86.56', '   Test all: ', '85.20', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '85.66', '   Train root: ', '92.71')
+('epoch: ', 5, 'V all: ', '86.95', '   Test all: ', '85.20', 'V root: ', '90.83', '   Test root: ', '92.50', '   Train: ', '85.92', '   Train root: ', '92.08')
+('epoch: ', 6, 'V all: ', '88.09', '   Test all: ', '85.69', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '86.28', '   Train root: ', '93.12')
+('epoch: ', 7, 'V all: ', '88.02', '   Test all: ', '85.85', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '86.77', '   Train root: ', '92.81')
+('epoch: ', 8, 'V all: ', '88.63', '   Test all: ', '86.26', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '87.12', '   Train root: ', '93.12')
+('epoch: ', 9, 'V all: ', '87.94', '   Test all: ', '86.34', 'V root: ', '86.67', '   Test root: ', '93.33', '   Train: ', '87.65', '   Train root: ', '91.25')
+('epoch: ', 10, 'V all: ', '88.40', '   Test all: ', '86.59', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '87.89', '   Train root: ', '93.44')
+('epoch: ', 11, 'V all: ', '88.24', '   Test all: ', '86.59', 'V root: ', '89.17', '   Test root: ', '96.67', '   Train: ', '88.22', '   Train root: ', '93.75')
+('epoch: ', 12, 'V all: ', '88.47', '   Test all: ', '86.91', 'V root: ', '90.83', '   Test root: ', '96.67', '   Train: ', '88.47', '   Train root: ', '94.69')
+('epoch: ', 13, 'V all: ', '88.24', '   Test all: ', '87.56', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '89.06', '   Train root: ', '92.50')
+('Best valid: ', '88.63', ' Test all: ', '86.26', 'Test root: ', '95.00', '   time: ', 1168.0374729633331)
+
+
+model LSTM_1_5 :  h_dim =  50  learning rate =  0.01  lambda =  0.0001  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '84.12', '   Test all: ', '82.76', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '82.73', '   Train root: ', '90.83')
+('epoch: ', 3, 'V all: ', '86.11', '   Test all: ', '84.80', 'V root: ', '93.33', '   Test root: ', '95.83', '   Train: ', '84.57', '   Train root: ', '93.65')
+('epoch: ', 4, 'V all: ', '87.18', '   Test all: ', '85.20', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '85.71', '   Train root: ', '93.02')
+('epoch: ', 5, 'V all: ', '87.25', '   Test all: ', '86.18', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '86.28', '   Train root: ', '91.35')
+('epoch: ', 6, 'V all: ', '88.02', '   Test all: ', '85.69', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '86.50', '   Train root: ', '93.12')
+('epoch: ', 7, 'V all: ', '87.86', '   Test all: ', '86.18', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '86.99', '   Train root: ', '92.60')
+('epoch: ', 8, 'V all: ', '88.24', '   Test all: ', '86.50', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '87.52', '   Train root: ', '93.02')
+('epoch: ', 9, 'V all: ', '88.24', '   Test all: ', '86.75', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '87.96', '   Train root: ', '91.56')
+('epoch: ', 10, 'V all: ', '88.63', '   Test all: ', '86.75', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '88.07', '   Train root: ', '93.65')
+('epoch: ', 11, 'V all: ', '88.70', '   Test all: ', '86.91', 'V root: ', '92.50', '   Test root: ', '96.67', '   Train: ', '88.32', '   Train root: ', '93.33')
+('epoch: ', 12, 'V all: ', '88.70', '   Test all: ', '86.83', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '88.58', '   Train root: ', '94.38')
+('epoch: ', 13, 'V all: ', '88.09', '   Test all: ', '86.99', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '89.15', '   Train root: ', '91.98')
+('epoch: ', 14, 'V all: ', '88.32', '   Test all: ', '86.99', 'V root: ', '90.00', '   Test root: ', '92.50', '   Train: ', '89.27', '   Train root: ', '92.71')
+('epoch: ', 15, 'V all: ', '88.63', '   Test all: ', '87.32', 'V root: ', '91.67', '   Test root: ', '96.67', '   Train: ', '89.11', '   Train root: ', '94.06')
+('epoch: ', 16, 'V all: ', '88.78', '   Test all: ', '87.64', 'V root: ', '90.00', '   Test root: ', '95.83', '   Train: ', '89.61', '   Train root: ', '93.96')
+('epoch: ', 17, 'V all: ', '88.32', '   Test all: ', '87.07', 'V root: ', '85.83', '   Test root: ', '90.83', '   Train: ', '89.73', '   Train root: ', '92.19')
+('epoch: ', 18, 'V all: ', '89.08', '   Test all: ', '87.15', 'V root: ', '93.33', '   Test root: ', '96.67', '   Train: ', '89.72', '   Train root: ', '94.27')
+('epoch: ', 19, 'V all: ', '89.01', '   Test all: ', '87.07', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '89.93', '   Train root: ', '94.58')
+('epoch: ', 20, 'V all: ', '89.08', '   Test all: ', '87.80', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '90.15', '   Train root: ', '94.38')
+('epoch: ', 21, 'V all: ', '89.01', '   Test all: ', '88.21', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '90.44', '   Train root: ', '93.54')
+('epoch: ', 22, 'V all: ', '88.93', '   Test all: ', '88.21', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '90.53', '   Train root: ', '94.06')
+('epoch: ', 23, 'V all: ', '89.54', '   Test all: ', '88.37', 'V root: ', '90.00', '   Test root: ', '95.83', '   Train: ', '90.75', '   Train root: ', '94.58')
+('epoch: ', 24, 'V all: ', '89.08', '   Test all: ', '88.21', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '90.72', '   Train root: ', '92.60')
+('epoch: ', 25, 'V all: ', '89.47', '   Test all: ', '88.21', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '90.96', '   Train root: ', '94.79')
+('epoch: ', 26, 'V all: ', '88.85', '   Test all: ', '88.70', 'V root: ', '86.67', '   Test root: ', '90.83', '   Train: ', '91.01', '   Train root: ', '92.50')
+('epoch: ', 27, 'V all: ', '89.69', '   Test all: ', '88.78', 'V root: ', '90.00', '   Test root: ', '96.67', '   Train: ', '90.94', '   Train root: ', '94.90')
+('epoch: ', 28, 'V all: ', '89.01', '   Test all: ', '88.78', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '91.27', '   Train root: ', '93.96')
+('epoch: ', 29, 'V all: ', '89.24', '   Test all: ', '89.02', 'V root: ', '86.67', '   Test root: ', '95.83', '   Train: ', '91.31', '   Train root: ', '95.00')
+('epoch: ', 30, 'V all: ', '89.92', '   Test all: ', '88.70', 'V root: ', '93.33', '   Test root: ', '95.83', '   Train: ', '91.28', '   Train root: ', '95.94')
+('epoch: ', 31, 'V all: ', '89.69', '   Test all: ', '88.46', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '91.33', '   Train root: ', '94.90')
+('epoch: ', 32, 'V all: ', '89.62', '   Test all: ', '89.76', 'V root: ', '85.00', '   Test root: ', '93.33', '   Train: ', '91.85', '   Train root: ', '94.17')
+('epoch: ', 33, 'V all: ', '89.77', '   Test all: ', '88.78', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '91.79', '   Train root: ', '95.10')
+('epoch: ', 34, 'V all: ', '89.69', '   Test all: ', '89.43', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '92.01', '   Train root: ', '95.21')
+('epoch: ', 35, 'V all: ', '89.92', '   Test all: ', '89.76', 'V root: ', '86.67', '   Test root: ', '93.33', '   Train: ', '92.27', '   Train root: ', '94.90')
+('epoch: ', 36, 'V all: ', '89.92', '   Test all: ', '89.59', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '92.41', '   Train root: ', '94.90')
+('epoch: ', 37, 'V all: ', '89.85', '   Test all: ', '89.27', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '92.48', '   Train root: ', '95.00')
+('epoch: ', 38, 'V all: ', '89.85', '   Test all: ', '89.67', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '92.47', '   Train root: ', '94.79')
+('epoch: ', 39, 'V all: ', '89.92', '   Test all: ', '90.08', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '92.55', '   Train root: ', '95.52')
+('epoch: ', 40, 'V all: ', '89.92', '   Test all: ', '89.84', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '92.88', '   Train root: ', '95.62')
+('epoch: ', 41, 'V all: ', '90.08', '   Test all: ', '89.76', 'V root: ', '85.83', '   Test root: ', '94.17', '   Train: ', '92.95', '   Train root: ', '95.62')
+('epoch: ', 42, 'V all: ', '90.15', '   Test all: ', '89.43', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '92.99', '   Train root: ', '95.62')
+('epoch: ', 43, 'V all: ', '90.08', '   Test all: ', '89.35', 'V root: ', '88.33', '   Test root: ', '91.67', '   Train: ', '93.12', '   Train root: ', '95.94')
+('epoch: ', 44, 'V all: ', '90.08', '   Test all: ', '90.08', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '93.25', '   Train root: ', '95.83')
+('epoch: ', 45, 'V all: ', '90.00', '   Test all: ', '89.35', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '93.25', '   Train root: ', '95.83')
+('epoch: ', 46, 'V all: ', '90.31', '   Test all: ', '89.84', 'V root: ', '87.50', '   Test root: ', '91.67', '   Train: ', '93.60', '   Train root: ', '96.25')
+('epoch: ', 47, 'V all: ', '89.92', '   Test all: ', '89.92', 'V root: ', '85.00', '   Test root: ', '91.67', '   Train: ', '93.63', '   Train root: ', '96.56')
+('epoch: ', 48, 'V all: ', '90.15', '   Test all: ', '89.84', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '93.56', '   Train root: ', '96.67')
+('epoch: ', 49, 'V all: ', '90.31', '   Test all: ', '89.76', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '93.65', '   Train root: ', '96.35')
+('epoch: ', 50, 'V all: ', '90.38', '   Test all: ', '90.00', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '93.54', '   Train root: ', '95.94')
+('epoch: ', 51, 'V all: ', '90.69', '   Test all: ', '89.92', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '93.88', '   Train root: ', '96.77')
+('epoch: ', 52, 'V all: ', '90.61', '   Test all: ', '90.00', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '93.81', '   Train root: ', '96.67')
+('epoch: ', 53, 'V all: ', '90.23', '   Test all: ', '90.41', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '93.85', '   Train root: ', '97.08')
+('epoch: ', 54, 'V all: ', '89.85', '   Test all: ', '89.51', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '93.84', '   Train root: ', '96.46')
+('epoch: ', 55, 'V all: ', '90.15', '   Test all: ', '89.51', 'V root: ', '85.83', '   Test root: ', '94.17', '   Train: ', '94.06', '   Train root: ', '96.56')
+('epoch: ', 56, 'V all: ', '90.23', '   Test all: ', '89.67', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '94.06', '   Train root: ', '97.50')
+('Best valid: ', '90.69', ' Test all: ', '89.92', 'Test root: ', '93.33', '   time: ', 6164.132050991058)
+
+model LSTM_1_6 :  h_dim =  30  learning rate =  0.01  lambda =  0.001  noise_rate =  0.05  noise_std =  0.02  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '83.21', '   Test all: ', '82.20', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.98', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '85.19', '   Test all: ', '84.39', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '84.26', '   Train root: ', '92.50')
+('epoch: ', 4, 'V all: ', '86.95', '   Test all: ', '84.88', 'V root: ', '92.50', '   Test root: ', '95.83', '   Train: ', '85.71', '   Train root: ', '92.50')
+('epoch: ', 5, 'V all: ', '86.64', '   Test all: ', '85.12', 'V root: ', '90.00', '   Test root: ', '92.50', '   Train: ', '85.90', '   Train root: ', '90.83')
+('epoch: ', 6, 'V all: ', '87.86', '   Test all: ', '85.61', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '86.47', '   Train root: ', '93.23')
+('epoch: ', 7, 'V all: ', '87.79', '   Test all: ', '85.85', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '86.92', '   Train root: ', '93.23')
+('epoch: ', 8, 'V all: ', '88.63', '   Test all: ', '86.26', 'V root: ', '94.17', '   Test root: ', '95.83', '   Train: ', '87.33', '   Train root: ', '93.85')
+('epoch: ', 9, 'V all: ', '87.56', '   Test all: ', '86.67', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '87.73', '   Train root: ', '91.56')
+('epoch: ', 10, 'V all: ', '88.17', '   Test all: ', '87.24', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '88.05', '   Train root: ', '92.71')
+('epoch: ', 11, 'V all: ', '88.32', '   Test all: ', '86.99', 'V root: ', '89.17', '   Test root: ', '95.83', '   Train: ', '88.51', '   Train root: ', '93.96')
+('epoch: ', 12, 'V all: ', '88.70', '   Test all: ', '87.15', 'V root: ', '90.83', '   Test root: ', '97.50', '   Train: ', '88.72', '   Train root: ', '94.38')
+('epoch: ', 13, 'V all: ', '88.55', '   Test all: ', '87.32', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '89.23', '   Train root: ', '92.92')
+('epoch: ', 14, 'V all: ', '88.40', '   Test all: ', '87.07', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '89.39', '   Train root: ', '92.81')
+('epoch: ', 15, 'V all: ', '88.85', '   Test all: ', '87.40', 'V root: ', '90.00', '   Test root: ', '97.50', '   Train: ', '89.36', '   Train root: ', '95.21')
+('epoch: ', 16, 'V all: ', '88.93', '   Test all: ', '87.24', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '89.74', '   Train root: ', '93.54')
+('epoch: ', 17, 'V all: ', '89.16', '   Test all: ', '87.72', 'V root: ', '86.67', '   Test root: ', '90.83', '   Train: ', '90.01', '   Train root: ', '91.88')
+('epoch: ', 18, 'V all: ', '89.54', '   Test all: ', '87.40', 'V root: ', '91.67', '   Test root: ', '96.67', '   Train: ', '90.07', '   Train root: ', '95.31')
+('epoch: ', 19, 'V all: ', '89.08', '   Test all: ', '87.56', 'V root: ', '90.00', '   Test root: ', '95.83', '   Train: ', '90.25', '   Train root: ', '94.69')
+('epoch: ', 20, 'V all: ', '89.31', '   Test all: ', '87.56', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '90.49', '   Train root: ', '93.85')
+('epoch: ', 21, 'V all: ', '89.16', '   Test all: ', '88.29', 'V root: ', '88.33', '   Test root: ', '95.83', '   Train: ', '90.83', '   Train root: ', '94.38')
+('epoch: ', 22, 'V all: ', '89.31', '   Test all: ', '88.13', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '90.91', '   Train root: ', '94.27')
+('epoch: ', 23, 'V all: ', '89.39', '   Test all: ', '88.54', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '91.01', '   Train root: ', '94.48')
+('epoch: ', 24, 'V all: ', '89.24', '   Test all: ', '88.37', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '91.26', '   Train root: ', '94.38')
+('epoch: ', 25, 'V all: ', '89.24', '   Test all: ', '88.54', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '91.35', '   Train root: ', '95.52')
+('epoch: ', 26, 'V all: ', '89.31', '   Test all: ', '88.13', 'V root: ', '88.33', '   Test root: ', '90.83', '   Train: ', '91.64', '   Train root: ', '94.79')
+('epoch: ', 27, 'V all: ', '89.39', '   Test all: ', '88.37', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '91.63', '   Train root: ', '95.42')
+('epoch: ', 28, 'V all: ', '89.77', '   Test all: ', '88.54', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '91.76', '   Train root: ', '95.52')
+('epoch: ', 29, 'V all: ', '89.39', '   Test all: ', '88.54', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '91.84', '   Train root: ', '95.31')
+('epoch: ', 30, 'V all: ', '89.92', '   Test all: ', '88.78', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '91.77', '   Train root: ', '96.04')
+('epoch: ', 31, 'V all: ', '89.31', '   Test all: ', '88.46', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '91.94', '   Train root: ', '95.83')
+('epoch: ', 32, 'V all: ', '89.85', '   Test all: ', '88.70', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '92.24', '   Train root: ', '95.94')
+('epoch: ', 33, 'V all: ', '90.08', '   Test all: ', '89.02', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '92.50', '   Train root: ', '96.04')
+('epoch: ', 34, 'V all: ', '90.08', '   Test all: ', '88.94', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '92.56', '   Train root: ', '96.04')
+('epoch: ', 35, 'V all: ', '89.92', '   Test all: ', '88.86', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '92.78', '   Train root: ', '95.73')
+('epoch: ', 36, 'V all: ', '89.85', '   Test all: ', '88.86', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '92.88', '   Train root: ', '95.62')
+('epoch: ', 37, 'V all: ', '89.77', '   Test all: ', '89.11', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '92.97', '   Train root: ', '95.94')
+('epoch: ', 38, 'V all: ', '90.00', '   Test all: ', '89.35', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '93.23', '   Train root: ', '96.04')
+('epoch: ', 39, 'V all: ', '90.00', '   Test all: ', '89.84', 'V root: ', '87.50', '   Test root: ', '95.83', '   Train: ', '93.02', '   Train root: ', '96.35')
+('epoch: ', 40, 'V all: ', '89.85', '   Test all: ', '89.92', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '93.40', '   Train root: ', '96.46')
+('epoch: ', 41, 'V all: ', '89.85', '   Test all: ', '89.43', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '93.43', '   Train root: ', '96.67')
+('epoch: ', 42, 'V all: ', '90.08', '   Test all: ', '89.67', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '93.60', '   Train root: ', '97.08')
+('epoch: ', 43, 'V all: ', '90.15', '   Test all: ', '89.59', 'V root: ', '86.67', '   Test root: ', '95.00', '   Train: ', '93.70', '   Train root: ', '96.98')
+('epoch: ', 44, 'V all: ', '90.46', '   Test all: ', '89.43', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '94.09', '   Train root: ', '95.62')
+('epoch: ', 45, 'V all: ', '89.85', '   Test all: ', '89.67', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '94.09', '   Train root: ', '96.77')
+('epoch: ', 46, 'V all: ', '89.92', '   Test all: ', '89.27', 'V root: ', '85.83', '   Test root: ', '91.67', '   Train: ', '94.25', '   Train root: ', '96.25')
+('epoch: ', 47, 'V all: ', '90.23', '   Test all: ', '89.43', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '94.39', '   Train root: ', '96.35')
+('epoch: ', 48, 'V all: ', '90.23', '   Test all: ', '89.92', 'V root: ', '86.67', '   Test root: ', '94.17', '   Train: ', '94.27', '   Train root: ', '96.98')
+('epoch: ', 49, 'V all: ', '90.61', '   Test all: ', '89.43', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '94.53', '   Train root: ', '97.29')
+('epoch: ', 50, 'V all: ', '90.53', '   Test all: ', '89.43', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '94.45', '   Train root: ', '96.46')
+('epoch: ', 51, 'V all: ', '90.00', '   Test all: ', '89.67', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '94.35', '   Train root: ', '97.81')
+('epoch: ', 52, 'V all: ', '90.23', '   Test all: ', '89.51', 'V root: ', '83.33', '   Test root: ', '92.50', '   Train: ', '94.72', '   Train root: ', '97.40')
+('epoch: ', 53, 'V all: ', '90.38', '   Test all: ', '89.59', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '94.61', '   Train root: ', '97.29')
+('epoch: ', 54, 'V all: ', '90.53', '   Test all: ', '89.76', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '94.73', '   Train root: ', '97.71')
+('epoch: ', 55, 'V all: ', '90.31', '   Test all: ', '89.67', 'V root: ', '86.67', '   Test root: ', '95.00', '   Train: ', '95.04', '   Train root: ', '97.81')
+('epoch: ', 56, 'V all: ', '90.08', '   Test all: ', '89.51', 'V root: ', '86.67', '   Test root: ', '95.00', '   Train: ', '94.89', '   Train root: ', '98.23')
+('epoch: ', 57, 'V all: ', '90.46', '   Test all: ', '89.67', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '94.95', '   Train root: ', '98.02')
+('epoch: ', 58, 'V all: ', '90.23', '   Test all: ', '89.59', 'V root: ', '85.00', '   Test root: ', '94.17', '   Train: ', '95.18', '   Train root: ', '97.40')
+('epoch: ', 59, 'V all: ', '90.53', '   Test all: ', '89.76', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '94.92', '   Train root: ', '97.81')
+('Best valid: ', '90.61', ' Test all: ', '89.43', 'Test root: ', '94.17', '   time: ', 4793.195871114731)
+
+
+model LSTM_1_6 :  h_dim =  50  learning rate =  0.01  lambda =  0.001  noise_rate =  0.1  noise_std =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '84.12', '   Test all: ', '82.76', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '82.75', '   Train root: ', '90.62')
+('epoch: ', 3, 'V all: ', '86.11', '   Test all: ', '84.80', 'V root: ', '93.33', '   Test root: ', '95.83', '   Train: ', '84.71', '   Train root: ', '93.75')
+('epoch: ', 4, 'V all: ', '87.56', '   Test all: ', '85.12', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '85.85', '   Train root: ', '92.81')
+('epoch: ', 5, 'V all: ', '86.95', '   Test all: ', '86.18', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '86.28', '   Train root: ', '91.15')
+('epoch: ', 6, 'V all: ', '88.24', '   Test all: ', '86.26', 'V root: ', '91.67', '   Test root: ', '94.17', '   Train: ', '86.65', '   Train root: ', '93.33')
+('epoch: ', 7, 'V all: ', '88.02', '   Test all: ', '86.34', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '87.24', '   Train root: ', '93.12')
+('epoch: ', 8, 'V all: ', '88.24', '   Test all: ', '86.50', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '87.60', '   Train root: ', '93.33')
+('epoch: ', 9, 'V all: ', '88.17', '   Test all: ', '86.91', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '88.02', '   Train root: ', '92.19')
+('epoch: ', 10, 'V all: ', '88.32', '   Test all: ', '86.99', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '88.19', '   Train root: ', '93.12')
+('epoch: ', 11, 'V all: ', '88.70', '   Test all: ', '87.07', 'V root: ', '92.50', '   Test root: ', '94.17', '   Train: ', '88.67', '   Train root: ', '93.23')
+('epoch: ', 12, 'V all: ', '88.55', '   Test all: ', '87.15', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '88.77', '   Train root: ', '94.17')
+('epoch: ', 13, 'V all: ', '88.70', '   Test all: ', '87.48', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '89.21', '   Train root: ', '92.92')
+('epoch: ', 14, 'V all: ', '88.47', '   Test all: ', '87.07', 'V root: ', '90.83', '   Test root: ', '90.83', '   Train: ', '89.40', '   Train root: ', '93.23')
+('epoch: ', 15, 'V all: ', '89.16', '   Test all: ', '87.15', 'V root: ', '93.33', '   Test root: ', '94.17', '   Train: ', '89.53', '   Train root: ', '94.48')
+('epoch: ', 16, 'V all: ', '89.24', '   Test all: ', '87.72', 'V root: ', '90.83', '   Test root: ', '92.50', '   Train: ', '89.71', '   Train root: ', '93.54')
+('epoch: ', 17, 'V all: ', '89.16', '   Test all: ', '87.80', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '90.06', '   Train root: ', '92.60')
+('epoch: ', 18, 'V all: ', '89.54', '   Test all: ', '87.89', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '90.03', '   Train root: ', '94.17')
+('epoch: ', 19, 'V all: ', '89.39', '   Test all: ', '87.72', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '90.39', '   Train root: ', '94.38')
+('epoch: ', 20, 'V all: ', '89.85', '   Test all: ', '87.89', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '90.63', '   Train root: ', '93.85')
+('epoch: ', 21, 'V all: ', '89.69', '   Test all: ', '88.13', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '90.78', '   Train root: ', '93.65')
+('epoch: ', 22, 'V all: ', '89.31', '   Test all: ', '87.89', 'V root: ', '88.33', '   Test root: ', '90.83', '   Train: ', '90.80', '   Train root: ', '93.75')
+('epoch: ', 23, 'V all: ', '89.69', '   Test all: ', '88.46', 'V root: ', '89.17', '   Test root: ', '92.50', '   Train: ', '91.12', '   Train root: ', '93.96')
+('epoch: ', 24, 'V all: ', '89.31', '   Test all: ', '88.62', 'V root: ', '85.83', '   Test root: ', '92.50', '   Train: ', '91.37', '   Train root: ', '93.96')
+('epoch: ', 25, 'V all: ', '90.08', '   Test all: ', '88.70', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '91.35', '   Train root: ', '95.31')
+('epoch: ', 26, 'V all: ', '89.62', '   Test all: ', '88.62', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '91.50', '   Train root: ', '94.38')
+('epoch: ', 27, 'V all: ', '90.08', '   Test all: ', '88.21', 'V root: ', '90.00', '   Test root: ', '93.33', '   Train: ', '91.61', '   Train root: ', '95.42')
+('epoch: ', 28, 'V all: ', '90.08', '   Test all: ', '88.62', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '91.88', '   Train root: ', '94.79')
+('epoch: ', 29, 'V all: ', '89.92', '   Test all: ', '88.46', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '91.98', '   Train root: ', '94.58')
+('epoch: ', 30, 'V all: ', '90.38', '   Test all: ', '88.70', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '92.08', '   Train root: ', '95.83')
+('epoch: ', 31, 'V all: ', '89.92', '   Test all: ', '88.29', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '91.97', '   Train root: ', '95.73')
+('epoch: ', 32, 'V all: ', '89.77', '   Test all: ', '88.70', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '92.57', '   Train root: ', '95.21')
+('epoch: ', 33, 'V all: ', '90.23', '   Test all: ', '89.27', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '92.75', '   Train root: ', '95.83')
+('epoch: ', 34, 'V all: ', '89.92', '   Test all: ', '89.11', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '92.61', '   Train root: ', '95.62')
+('epoch: ', 35, 'V all: ', '90.08', '   Test all: ', '88.94', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '92.98', '   Train root: ', '96.15')
+('epoch: ', 36, 'V all: ', '90.00', '   Test all: ', '89.11', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '93.14', '   Train root: ', '96.04')
+('epoch: ', 37, 'V all: ', '89.85', '   Test all: ', '89.51', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '93.11', '   Train root: ', '96.25')
+('epoch: ', 38, 'V all: ', '90.31', '   Test all: ', '89.51', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '93.30', '   Train root: ', '96.35')
+('epoch: ', 39, 'V all: ', '90.15', '   Test all: ', '89.19', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '93.27', '   Train root: ', '96.56')
+('epoch: ', 40, 'V all: ', '90.38', '   Test all: ', '89.84', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '93.51', '   Train root: ', '96.77')
+('epoch: ', 41, 'V all: ', '90.46', '   Test all: ', '89.84', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '93.63', '   Train root: ', '96.77')
+('epoch: ', 42, 'V all: ', '90.38', '   Test all: ', '89.76', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '93.74', '   Train root: ', '97.08')
+('epoch: ', 43, 'V all: ', '90.31', '   Test all: ', '89.76', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '93.80', '   Train root: ', '96.98')
+('epoch: ', 44, 'V all: ', '90.00', '   Test all: ', '89.67', 'V root: ', '85.00', '   Test root: ', '91.67', '   Train: ', '94.05', '   Train root: ', '96.15')
+('epoch: ', 45, 'V all: ', '90.38', '   Test all: ', '89.59', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '93.95', '   Train root: ', '97.19')
+('epoch: ', 46, 'V all: ', '90.31', '   Test all: ', '89.51', 'V root: ', '85.83', '   Test root: ', '90.00', '   Train: ', '94.32', '   Train root: ', '96.15')
+('epoch: ', 47, 'V all: ', '90.69', '   Test all: ', '90.00', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '94.36', '   Train root: ', '97.08')
+('epoch: ', 48, 'V all: ', '90.99', '   Test all: ', '90.33', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '94.28', '   Train root: ', '97.40')
+('epoch: ', 49, 'V all: ', '90.69', '   Test all: ', '90.08', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '94.34', '   Train root: ', '97.50')
+('epoch: ', 50, 'V all: ', '90.53', '   Test all: ', '89.92', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '94.37', '   Train root: ', '97.40')
+('epoch: ', 51, 'V all: ', '90.76', '   Test all: ', '90.00', 'V root: ', '86.67', '   Test root: ', '90.00', '   Train: ', '94.68', '   Train root: ', '97.19')
+('epoch: ', 52, 'V all: ', '90.53', '   Test all: ', '90.24', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '94.66', '   Train root: ', '97.50')
+('epoch: ', 53, 'V all: ', '90.61', '   Test all: ', '90.41', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '94.77', '   Train root: ', '97.29')
+('epoch: ', 54, 'V all: ', '90.31', '   Test all: ', '89.67', 'V root: ', '84.17', '   Test root: ', '90.83', '   Train: ', '95.11', '   Train root: ', '97.19')
+('epoch: ', 55, 'V all: ', '90.46', '   Test all: ', '89.84', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '94.93', '   Train root: ', '97.60')
+('epoch: ', 56, 'V all: ', '90.61', '   Test all: ', '89.51', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '94.79', '   Train root: ', '97.50')
+('epoch: ', 57, 'V all: ', '90.69', '   Test all: ', '89.59', 'V root: ', '87.50', '   Test root: ', '91.67', '   Train: ', '95.03', '   Train root: ', '97.29')
+('epoch: ', 58, 'V all: ', '90.92', '   Test all: ', '89.67', 'V root: ', '87.50', '   Test root: ', '90.00', '   Train: ', '95.27', '   Train root: ', '97.60')
+('Best valid: ', '90.99', ' Test all: ', '90.33', 'Test root: ', '93.33', '   time: ', 6235.889605045319)
+
+
+model LSTM_1_6 :  h_dim =  50  learning rate =  0.01  lambda =  0.001  noise_rate =  0.05  noise_std =  0.02  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '84.12', '   Test all: ', '82.76', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '82.75', '   Train root: ', '90.62')
+('epoch: ', 3, 'V all: ', '86.11', '   Test all: ', '84.80', 'V root: ', '93.33', '   Test root: ', '95.83', '   Train: ', '84.71', '   Train root: ', '93.75')
+('epoch: ', 4, 'V all: ', '87.56', '   Test all: ', '85.12', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '85.84', '   Train root: ', '92.81')
+('epoch: ', 5, 'V all: ', '86.95', '   Test all: ', '86.26', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '86.28', '   Train root: ', '91.15')
+('epoch: ', 6, 'V all: ', '88.24', '   Test all: ', '86.26', 'V root: ', '91.67', '   Test root: ', '94.17', '   Train: ', '86.66', '   Train root: ', '93.44')
+('epoch: ', 7, 'V all: ', '88.02', '   Test all: ', '86.34', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '87.24', '   Train root: ', '93.12')
+('epoch: ', 8, 'V all: ', '88.24', '   Test all: ', '86.50', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '87.61', '   Train root: ', '93.33')
+('epoch: ', 9, 'V all: ', '88.17', '   Test all: ', '86.91', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '88.02', '   Train root: ', '92.19')
+('epoch: ', 10, 'V all: ', '88.40', '   Test all: ', '86.99', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '88.18', '   Train root: ', '93.12')
+('epoch: ', 11, 'V all: ', '88.70', '   Test all: ', '87.24', 'V root: ', '92.50', '   Test root: ', '94.17', '   Train: ', '88.67', '   Train root: ', '93.12')
+('epoch: ', 12, 'V all: ', '88.55', '   Test all: ', '87.15', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '88.78', '   Train root: ', '94.17')
+('epoch: ', 13, 'V all: ', '88.70', '   Test all: ', '87.40', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '89.21', '   Train root: ', '92.92')
+('epoch: ', 14, 'V all: ', '88.47', '   Test all: ', '87.07', 'V root: ', '90.83', '   Test root: ', '90.83', '   Train: ', '89.41', '   Train root: ', '93.23')
+('epoch: ', 15, 'V all: ', '89.16', '   Test all: ', '87.15', 'V root: ', '93.33', '   Test root: ', '94.17', '   Train: ', '89.53', '   Train root: ', '94.48')
+('epoch: ', 16, 'V all: ', '89.24', '   Test all: ', '87.72', 'V root: ', '90.83', '   Test root: ', '92.50', '   Train: ', '89.72', '   Train root: ', '93.54')
+('epoch: ', 17, 'V all: ', '89.16', '   Test all: ', '87.89', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '90.06', '   Train root: ', '92.50')
+('epoch: ', 18, 'V all: ', '89.54', '   Test all: ', '87.89', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '90.01', '   Train root: ', '94.17')
+('epoch: ', 19, 'V all: ', '89.39', '   Test all: ', '87.72', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '90.39', '   Train root: ', '94.38')
+('epoch: ', 20, 'V all: ', '89.85', '   Test all: ', '87.89', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '90.63', '   Train root: ', '93.75')
+('epoch: ', 21, 'V all: ', '89.69', '   Test all: ', '88.13', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '90.76', '   Train root: ', '93.65')
+('epoch: ', 22, 'V all: ', '89.39', '   Test all: ', '87.89', 'V root: ', '89.17', '   Test root: ', '90.83', '   Train: ', '90.81', '   Train root: ', '93.85')
+('epoch: ', 23, 'V all: ', '89.69', '   Test all: ', '88.46', 'V root: ', '89.17', '   Test root: ', '92.50', '   Train: ', '91.11', '   Train root: ', '93.96')
+('epoch: ', 24, 'V all: ', '89.31', '   Test all: ', '88.62', 'V root: ', '85.83', '   Test root: ', '92.50', '   Train: ', '91.37', '   Train root: ', '93.96')
+('epoch: ', 25, 'V all: ', '90.08', '   Test all: ', '88.70', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '91.36', '   Train root: ', '95.31')
+('epoch: ', 26, 'V all: ', '89.62', '   Test all: ', '88.62', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '91.49', '   Train root: ', '94.38')
+('epoch: ', 27, 'V all: ', '90.08', '   Test all: ', '88.29', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '91.59', '   Train root: ', '95.52')
+('epoch: ', 28, 'V all: ', '90.00', '   Test all: ', '88.70', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '91.89', '   Train root: ', '94.90')
+('epoch: ', 29, 'V all: ', '89.92', '   Test all: ', '88.46', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '91.97', '   Train root: ', '94.58')
+('epoch: ', 30, 'V all: ', '90.38', '   Test all: ', '88.70', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '92.07', '   Train root: ', '95.83')
+('epoch: ', 31, 'V all: ', '89.92', '   Test all: ', '88.29', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '92.00', '   Train root: ', '95.73')
+('epoch: ', 32, 'V all: ', '89.77', '   Test all: ', '88.70', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '92.58', '   Train root: ', '95.21')
+('epoch: ', 33, 'V all: ', '90.23', '   Test all: ', '89.27', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '92.74', '   Train root: ', '95.83')
+('epoch: ', 34, 'V all: ', '89.92', '   Test all: ', '89.02', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '92.61', '   Train root: ', '95.62')
+('epoch: ', 35, 'V all: ', '90.00', '   Test all: ', '88.94', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '92.97', '   Train root: ', '96.15')
+('epoch: ', 36, 'V all: ', '89.92', '   Test all: ', '89.11', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '93.14', '   Train root: ', '96.04')
+('epoch: ', 37, 'V all: ', '89.85', '   Test all: ', '89.59', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '93.12', '   Train root: ', '96.25')
+('epoch: ', 38, 'V all: ', '90.31', '   Test all: ', '89.59', 'V root: ', '87.50', '   Test root: ', '94.17', '   Train: ', '93.30', '   Train root: ', '96.35')
+('epoch: ', 39, 'V all: ', '90.23', '   Test all: ', '89.27', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '93.28', '   Train root: ', '96.67')
+('epoch: ', 40, 'V all: ', '90.38', '   Test all: ', '89.84', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '93.51', '   Train root: ', '96.77')
+('epoch: ', 41, 'V all: ', '90.46', '   Test all: ', '89.76', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '93.63', '   Train root: ', '96.77')
+('epoch: ', 42, 'V all: ', '90.23', '   Test all: ', '89.76', 'V root: ', '88.33', '   Test root: ', '93.33', '   Train: ', '93.71', '   Train root: ', '97.08')
+('epoch: ', 43, 'V all: ', '90.31', '   Test all: ', '89.84', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '93.79', '   Train root: ', '96.88')
+('epoch: ', 44, 'V all: ', '90.00', '   Test all: ', '89.84', 'V root: ', '85.00', '   Test root: ', '92.50', '   Train: ', '94.03', '   Train root: ', '96.04')
+('epoch: ', 45, 'V all: ', '90.38', '   Test all: ', '89.59', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '93.95', '   Train root: ', '97.19')
+('epoch: ', 46, 'V all: ', '90.31', '   Test all: ', '89.51', 'V root: ', '85.83', '   Test root: ', '90.00', '   Train: ', '94.31', '   Train root: ', '96.15')
+('epoch: ', 47, 'V all: ', '90.69', '   Test all: ', '89.92', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '94.36', '   Train root: ', '97.08')
+('epoch: ', 48, 'V all: ', '90.92', '   Test all: ', '90.16', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '94.28', '   Train root: ', '97.40')
+('epoch: ', 49, 'V all: ', '90.76', '   Test all: ', '90.08', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '94.31', '   Train root: ', '97.50')
+('epoch: ', 50, 'V all: ', '90.53', '   Test all: ', '89.92', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '94.37', '   Train root: ', '97.40')
+('epoch: ', 51, 'V all: ', '90.76', '   Test all: ', '90.00', 'V root: ', '86.67', '   Test root: ', '90.00', '   Train: ', '94.69', '   Train root: ', '97.19')
+('epoch: ', 52, 'V all: ', '90.53', '   Test all: ', '90.24', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '94.67', '   Train root: ', '97.50')
+('epoch: ', 53, 'V all: ', '90.61', '   Test all: ', '90.33', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '94.78', '   Train root: ', '97.29')
+('epoch: ', 54, 'V all: ', '90.23', '   Test all: ', '89.51', 'V root: ', '84.17', '   Test root: ', '90.83', '   Train: ', '95.10', '   Train root: ', '97.19')
+('epoch: ', 55, 'V all: ', '90.46', '   Test all: ', '89.84', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '94.92', '   Train root: ', '97.60')
+('epoch: ', 56, 'V all: ', '90.61', '   Test all: ', '89.51', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '94.79', '   Train root: ', '97.50')
+('epoch: ', 57, 'V all: ', '90.61', '   Test all: ', '89.59', 'V root: ', '87.50', '   Test root: ', '91.67', '   Train: ', '95.03', '   Train root: ', '97.29')
+('epoch: ', 58, 'V all: ', '90.92', '   Test all: ', '89.67', 'V root: ', '87.50', '   Test root: ', '90.00', '   Train: ', '95.30', '   Train root: ', '97.60')
+('epoch: ', 59, 'V all: ', '90.61', '   Test all: ', '90.08', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '94.90', '   Train root: ', '97.92')
+('Best valid: ', '90.92', ' Test all: ', '89.67', 'Test root: ', '90.00', '   time: ', 8739.139855861664)
+
+model LSTM_1_6 :  h_dim =  75  learning rate =  0.01  lambda =  0.001  noise_rate =  0.05  noise_std =  0.02  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '84.27', '   Test all: ', '82.85', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '82.64', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '86.34', '   Test all: ', '84.55', 'V root: ', '95.00', '   Test root: ', '95.00', '   Train: ', '84.38', '   Train root: ', '92.60')
+('epoch: ', 4, 'V all: ', '87.56', '   Test all: ', '85.04', 'V root: ', '94.17', '   Test root: ', '93.33', '   Train: ', '85.66', '   Train root: ', '92.50')
+('epoch: ', 5, 'V all: ', '86.87', '   Test all: ', '85.69', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '86.02', '   Train root: ', '90.31')
+('epoch: ', 6, 'V all: ', '88.09', '   Test all: ', '85.77', 'V root: ', '91.67', '   Test root: ', '94.17', '   Train: ', '86.51', '   Train root: ', '92.29')
+('epoch: ', 7, 'V all: ', '88.63', '   Test all: ', '85.93', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '86.88', '   Train root: ', '92.60')
+('epoch: ', 8, 'V all: ', '88.09', '   Test all: ', '86.59', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '87.54', '   Train root: ', '93.23')
+('epoch: ', 9, 'V all: ', '88.17', '   Test all: ', '86.83', 'V root: ', '89.17', '   Test root: ', '92.50', '   Train: ', '87.81', '   Train root: ', '91.25')
+('epoch: ', 10, 'V all: ', '88.02', '   Test all: ', '87.32', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '88.21', '   Train root: ', '92.60')
+('epoch: ', 11, 'V all: ', '88.47', '   Test all: ', '86.83', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '88.43', '   Train root: ', '93.33')
+('epoch: ', 12, 'V all: ', '88.09', '   Test all: ', '86.67', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '88.74', '   Train root: ', '93.54')
+('epoch: ', 13, 'V all: ', '88.47', '   Test all: ', '87.24', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '89.21', '   Train root: ', '92.40')
+('epoch: ', 14, 'V all: ', '88.40', '   Test all: ', '86.99', 'V root: ', '88.33', '   Test root: ', '90.83', '   Train: ', '89.35', '   Train root: ', '92.81')
+('epoch: ', 15, 'V all: ', '89.01', '   Test all: ', '87.15', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '89.30', '   Train root: ', '94.17')
+('epoch: ', 16, 'V all: ', '88.78', '   Test all: ', '87.72', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '89.79', '   Train root: ', '93.23')
+('epoch: ', 17, 'V all: ', '88.55', '   Test all: ', '87.56', 'V root: ', '86.67', '   Test root: ', '88.33', '   Train: ', '89.97', '   Train root: ', '91.77')
+('epoch: ', 18, 'V all: ', '89.47', '   Test all: ', '87.97', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '90.16', '   Train root: ', '94.17')
+('epoch: ', 19, 'V all: ', '89.31', '   Test all: ', '87.48', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '90.26', '   Train root: ', '94.48')
+('epoch: ', 20, 'V all: ', '89.24', '   Test all: ', '87.89', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '90.52', '   Train root: ', '94.17')
+('epoch: ', 21, 'V all: ', '89.47', '   Test all: ', '88.13', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '90.96', '   Train root: ', '94.06')
+('epoch: ', 22, 'V all: ', '89.47', '   Test all: ', '87.80', 'V root: ', '88.33', '   Test root: ', '90.83', '   Train: ', '90.87', '   Train root: ', '94.17')
+('epoch: ', 23, 'V all: ', '89.85', '   Test all: ', '88.05', 'V root: ', '90.00', '   Test root: ', '91.67', '   Train: ', '91.03', '   Train root: ', '94.27')
+('epoch: ', 24, 'V all: ', '89.54', '   Test all: ', '88.05', 'V root: ', '87.50', '   Test root: ', '90.83', '   Train: ', '91.48', '   Train root: ', '93.75')
+('epoch: ', 25, 'V all: ', '90.15', '   Test all: ', '88.62', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '91.41', '   Train root: ', '94.69')
+('epoch: ', 26, 'V all: ', '89.54', '   Test all: ', '88.54', 'V root: ', '88.33', '   Test root: ', '90.00', '   Train: ', '91.64', '   Train root: ', '93.65')
+('epoch: ', 27, 'V all: ', '90.08', '   Test all: ', '88.94', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '91.95', '   Train root: ', '95.31')
+('epoch: ', 28, 'V all: ', '90.31', '   Test all: ', '88.62', 'V root: ', '90.00', '   Test root: ', '93.33', '   Train: ', '92.10', '   Train root: ', '95.21')
+('epoch: ', 29, 'V all: ', '90.46', '   Test all: ', '88.46', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '92.17', '   Train root: ', '95.42')
+('epoch: ', 30, 'V all: ', '90.61', '   Test all: ', '89.02', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '92.16', '   Train root: ', '95.94')
+('epoch: ', 31, 'V all: ', '90.23', '   Test all: ', '89.02', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '92.26', '   Train root: ', '95.83')
+('epoch: ', 32, 'V all: ', '89.85', '   Test all: ', '88.86', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '92.78', '   Train root: ', '95.52')
+('epoch: ', 33, 'V all: ', '90.46', '   Test all: ', '88.78', 'V root: ', '90.00', '   Test root: ', '93.33', '   Train: ', '92.68', '   Train root: ', '96.35')
+('epoch: ', 34, 'V all: ', '90.31', '   Test all: ', '89.02', 'V root: ', '89.17', '   Test root: ', '92.50', '   Train: ', '92.97', '   Train root: ', '95.62')
+('epoch: ', 35, 'V all: ', '90.08', '   Test all: ', '89.43', 'V root: ', '89.17', '   Test root: ', '90.83', '   Train: ', '93.26', '   Train root: ', '96.15')
+('epoch: ', 36, 'V all: ', '90.00', '   Test all: ', '88.86', 'V root: ', '88.33', '   Test root: ', '90.00', '   Train: ', '93.29', '   Train root: ', '95.83')
+('epoch: ', 37, 'V all: ', '90.31', '   Test all: ', '88.62', 'V root: ', '89.17', '   Test root: ', '90.83', '   Train: ', '93.18', '   Train root: ', '96.56')
+('epoch: ', 38, 'V all: ', '90.38', '   Test all: ', '89.02', 'V root: ', '89.17', '   Test root: ', '90.83', '   Train: ', '93.56', '   Train root: ', '96.56')
+('epoch: ', 39, 'V all: ', '90.15', '   Test all: ', '88.94', 'V root: ', '90.00', '   Test root: ', '90.00', '   Train: ', '93.39', '   Train root: ', '96.56')
+('epoch: ', 40, 'V all: ', '90.08', '   Test all: ', '89.19', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '93.54', '   Train root: ', '97.08')
+('Best valid: ', '90.61', ' Test all: ', '89.02', 'Test root: ', '95.00', '   time: ', 2072.53720498085)
+
+model LSTM_1_6 :  h_dim =  100  learning rate =  0.01  lambda =  0.001  noise_rate =  0.05  noise_std =  0.02  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '85.34', '   Test all: ', '84.15', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '84.18', '   Train root: ', '91.77')
+('epoch: ', 3, 'V all: ', '86.41', '   Test all: ', '84.80', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '85.15', '   Train root: ', '92.60')
+('epoch: ', 4, 'V all: ', '87.40', '   Test all: ', '85.20', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '85.83', '   Train root: ', '91.67')
+('epoch: ', 5, 'V all: ', '87.25', '   Test all: ', '86.26', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '86.39', '   Train root: ', '90.31')
+('epoch: ', 6, 'V all: ', '87.71', '   Test all: ', '85.69', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '86.70', '   Train root: ', '92.60')
+('epoch: ', 7, 'V all: ', '88.09', '   Test all: ', '86.50', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '87.38', '   Train root: ', '92.40')
+('epoch: ', 8, 'V all: ', '88.32', '   Test all: ', '86.42', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '87.46', '   Train root: ', '92.60')
+('epoch: ', 9, 'V all: ', '88.24', '   Test all: ', '87.07', 'V root: ', '86.67', '   Test root: ', '93.33', '   Train: ', '88.02', '   Train root: ', '90.62')
+('epoch: ', 10, 'V all: ', '88.55', '   Test all: ', '87.40', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '88.13', '   Train root: ', '92.29')
+('epoch: ', 11, 'V all: ', '88.47', '   Test all: ', '86.83', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '88.46', '   Train root: ', '93.12')
+('epoch: ', 12, 'V all: ', '88.63', '   Test all: ', '86.75', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '88.94', '   Train root: ', '93.75')
+('epoch: ', 13, 'V all: ', '88.55', '   Test all: ', '87.56', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '89.33', '   Train root: ', '92.29')
+('epoch: ', 14, 'V all: ', '88.70', '   Test all: ', '87.64', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '89.46', '   Train root: ', '93.02')
+('epoch: ', 15, 'V all: ', '88.78', '   Test all: ', '87.32', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '89.65', '   Train root: ', '94.38')
+('epoch: ', 16, 'V all: ', '89.39', '   Test all: ', '87.72', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '89.88', '   Train root: ', '92.92')
+('epoch: ', 17, 'V all: ', '89.08', '   Test all: ', '88.05', 'V root: ', '86.67', '   Test root: ', '89.17', '   Train: ', '90.05', '   Train root: ', '91.98')
+('epoch: ', 18, 'V all: ', '89.24', '   Test all: ', '87.89', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '90.26', '   Train root: ', '94.58')
+('epoch: ', 19, 'V all: ', '88.78', '   Test all: ', '87.80', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '90.43', '   Train root: ', '94.38')
+('epoch: ', 20, 'V all: ', '89.16', '   Test all: ', '87.89', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '90.65', '   Train root: ', '94.17')
+('epoch: ', 21, 'V all: ', '89.31', '   Test all: ', '88.37', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '90.98', '   Train root: ', '94.27')
+('epoch: ', 22, 'V all: ', '89.24', '   Test all: ', '88.21', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '91.00', '   Train root: ', '94.58')
+('epoch: ', 23, 'V all: ', '89.16', '   Test all: ', '88.29', 'V root: ', '85.00', '   Test root: ', '94.17', '   Train: ', '91.36', '   Train root: ', '94.06')
+('epoch: ', 24, 'V all: ', '89.24', '   Test all: ', '88.62', 'V root: ', '83.33', '   Test root: ', '94.17', '   Train: ', '91.57', '   Train root: ', '93.75')
+('epoch: ', 25, 'V all: ', '89.39', '   Test all: ', '88.37', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '91.53', '   Train root: ', '95.00')
+('epoch: ', 26, 'V all: ', '89.31', '   Test all: ', '89.02', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '91.73', '   Train root: ', '93.54')
+('epoch: ', 27, 'V all: ', '89.54', '   Test all: ', '88.62', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '91.86', '   Train root: ', '95.21')
+('epoch: ', 28, 'V all: ', '89.47', '   Test all: ', '88.94', 'V root: ', '86.67', '   Test root: ', '95.00', '   Train: ', '92.17', '   Train root: ', '95.21')
+('epoch: ', 29, 'V all: ', '89.47', '   Test all: ', '89.11', 'V root: ', '85.83', '   Test root: ', '95.00', '   Train: ', '92.23', '   Train root: ', '95.42')
+('epoch: ', 30, 'V all: ', '90.08', '   Test all: ', '89.02', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '92.21', '   Train root: ', '96.35')
+('epoch: ', 31, 'V all: ', '89.62', '   Test all: ', '88.70', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '92.24', '   Train root: ', '95.83')
+('epoch: ', 32, 'V all: ', '89.16', '   Test all: ', '88.62', 'V root: ', '83.33', '   Test root: ', '92.50', '   Train: ', '92.76', '   Train root: ', '95.73')
+('epoch: ', 33, 'V all: ', '89.69', '   Test all: ', '89.19', 'V root: ', '87.50', '   Test root: ', '95.00', '   Train: ', '92.72', '   Train root: ', '96.35')
+('epoch: ', 34, 'V all: ', '89.47', '   Test all: ', '88.54', 'V root: ', '85.83', '   Test root: ', '91.67', '   Train: ', '92.86', '   Train root: ', '95.62')
+('epoch: ', 35, 'V all: ', '89.62', '   Test all: ', '88.86', 'V root: ', '85.00', '   Test root: ', '91.67', '   Train: ', '93.14', '   Train root: ', '95.21')
+('epoch: ', 36, 'V all: ', '89.39', '   Test all: ', '88.94', 'V root: ', '84.17', '   Test root: ', '93.33', '   Train: ', '93.25', '   Train root: ', '95.83')
+('epoch: ', 37, 'V all: ', '89.31', '   Test all: ', '88.54', 'V root: ', '85.00', '   Test root: ', '92.50', '   Train: ', '93.18', '   Train root: ', '96.25')
+('epoch: ', 38, 'V all: ', '89.54', '   Test all: ', '88.86', 'V root: ', '84.17', '   Test root: ', '93.33', '   Train: ', '93.33', '   Train root: ', '96.15')
+('epoch: ', 39, 'V all: ', '90.15', '   Test all: ', '88.62', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '93.34', '   Train root: ', '96.67')
+('epoch: ', 40, 'V all: ', '90.08', '   Test all: ', '89.11', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '93.50', '   Train root: ', '96.67')
+('epoch: ', 41, 'V all: ', '90.23', '   Test all: ', '89.19', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '93.64', '   Train root: ', '96.98')
+('epoch: ', 42, 'V all: ', '90.15', '   Test all: ', '89.11', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '93.79', '   Train root: ', '96.67')
+('epoch: ', 43, 'V all: ', '90.23', '   Test all: ', '89.19', 'V root: ', '85.83', '   Test root: ', '91.67', '   Train: ', '93.99', '   Train root: ', '96.88')
+('epoch: ', 44, 'V all: ', '89.92', '   Test all: ', '88.46', 'V root: ', '85.83', '   Test root: ', '90.00', '   Train: ', '93.89', '   Train root: ', '96.25')
+('epoch: ', 45, 'V all: ', '89.69', '   Test all: ', '88.78', 'V root: ', '85.83', '   Test root: ', '91.67', '   Train: ', '94.04', '   Train root: ', '96.88')
+('epoch: ', 46, 'V all: ', '90.15', '   Test all: ', '88.62', 'V root: ', '86.67', '   Test root: ', '90.00', '   Train: ', '94.33', '   Train root: ', '96.77')
+('epoch: ', 47, 'V all: ', '90.31', '   Test all: ', '88.62', 'V root: ', '85.83', '   Test root: ', '90.83', '   Train: ', '94.35', '   Train root: ', '96.88')
+('epoch: ', 48, 'V all: ', '90.61', '   Test all: ', '89.27', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '94.38', '   Train root: ', '97.19')
+('epoch: ', 49, 'V all: ', '90.46', '   Test all: ', '89.02', 'V root: ', '86.67', '   Test root: ', '90.83', '   Train: ', '94.62', '   Train root: ', '97.08')
+('epoch: ', 50, 'V all: ', '90.38', '   Test all: ', '89.51', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '94.44', '   Train root: ', '96.98')
+('epoch: ', 51, 'V all: ', '90.61', '   Test all: ', '89.11', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '94.65', '   Train root: ', '97.50')
+('epoch: ', 52, 'V all: ', '90.38', '   Test all: ', '89.02', 'V root: ', '85.83', '   Test root: ', '90.00', '   Train: ', '94.83', '   Train root: ', '97.71')
+('epoch: ', 53, 'V all: ', '90.53', '   Test all: ', '89.59', 'V root: ', '86.67', '   Test root: ', '91.67', '   Train: ', '94.73', '   Train root: ', '97.50')
+('epoch: ', 54, 'V all: ', '90.15', '   Test all: ', '88.54', 'V root: ', '85.00', '   Test root: ', '90.00', '   Train: ', '94.94', '   Train root: ', '96.98')
+('epoch: ', 55, 'V all: ', '90.23', '   Test all: ', '88.70', 'V root: ', '85.83', '   Test root: ', '90.00', '   Train: ', '94.92', '   Train root: ', '96.98')
+('epoch: ', 56, 'V all: ', '90.61', '   Test all: ', '89.19', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '94.98', '   Train root: ', '97.29')
+('epoch: ', 57, 'V all: ', '90.46', '   Test all: ', '89.02', 'V root: ', '87.50', '   Test root: ', '91.67', '   Train: ', '94.98', '   Train root: ', '97.81')
+('epoch: ', 58, 'V all: ', '90.61', '   Test all: ', '88.94', 'V root: ', '84.17', '   Test root: ', '89.17', '   Train: ', '95.31', '   Train root: ', '97.08')
+('epoch: ', 59, 'V all: ', '90.84', '   Test all: ', '89.02', 'V root: ', '86.67', '   Test root: ', '90.00', '   Train: ', '95.26', '   Train root: ', '97.50')
+('Best valid: ', '90.84', ' Test all: ', '89.02', 'Test root: ', '90.00', '   time: ', 2166.038451194763)
+
+model LSTM_1_6 :  h_dim =  75  learning rate =  0.01  lambda =  0.001  noise_rate =  0.1  noise_std =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '84.27', '   Test all: ', '82.85', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '82.64', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '86.34', '   Test all: ', '84.55', 'V root: ', '95.00', '   Test root: ', '95.00', '   Train: ', '84.38', '   Train root: ', '92.60')
+('epoch: ', 4, 'V all: ', '87.56', '   Test all: ', '85.04', 'V root: ', '94.17', '   Test root: ', '93.33', '   Train: ', '85.65', '   Train root: ', '92.50')
+('epoch: ', 5, 'V all: ', '86.87', '   Test all: ', '85.69', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '86.02', '   Train root: ', '90.31')
+('epoch: ', 6, 'V all: ', '88.09', '   Test all: ', '85.77', 'V root: ', '91.67', '   Test root: ', '94.17', '   Train: ', '86.51', '   Train root: ', '92.29')
+('epoch: ', 7, 'V all: ', '88.63', '   Test all: ', '85.93', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '86.88', '   Train root: ', '92.60')
+('epoch: ', 8, 'V all: ', '88.09', '   Test all: ', '86.67', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '87.54', '   Train root: ', '93.23')
+('epoch: ', 9, 'V all: ', '88.17', '   Test all: ', '86.83', 'V root: ', '89.17', '   Test root: ', '92.50', '   Train: ', '87.80', '   Train root: ', '91.35')
+('epoch: ', 10, 'V all: ', '88.09', '   Test all: ', '87.32', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '88.21', '   Train root: ', '92.60')
+('epoch: ', 11, 'V all: ', '88.47', '   Test all: ', '86.83', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '88.43', '   Train root: ', '93.33')
+('epoch: ', 12, 'V all: ', '88.09', '   Test all: ', '86.67', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '88.74', '   Train root: ', '93.54')
+('epoch: ', 13, 'V all: ', '88.47', '   Test all: ', '87.24', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '89.20', '   Train root: ', '92.50')
+('epoch: ', 14, 'V all: ', '88.40', '   Test all: ', '86.99', 'V root: ', '88.33', '   Test root: ', '90.83', '   Train: ', '89.31', '   Train root: ', '92.60')
+('epoch: ', 15, 'V all: ', '89.16', '   Test all: ', '87.48', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '89.36', '   Train root: ', '94.17')
+('epoch: ', 16, 'V all: ', '88.78', '   Test all: ', '87.64', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '89.78', '   Train root: ', '93.23')
+('epoch: ', 17, 'V all: ', '88.55', '   Test all: ', '87.56', 'V root: ', '86.67', '   Test root: ', '88.33', '   Train: ', '89.97', '   Train root: ', '91.77')
+('epoch: ', 18, 'V all: ', '89.47', '   Test all: ', '87.97', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '90.17', '   Train root: ', '94.17')
+('epoch: ', 19, 'V all: ', '89.31', '   Test all: ', '87.48', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '90.26', '   Train root: ', '94.48')
+('epoch: ', 20, 'V all: ', '89.24', '   Test all: ', '87.89', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '90.52', '   Train root: ', '94.17')
+('epoch: ', 21, 'V all: ', '89.47', '   Test all: ', '88.13', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '90.96', '   Train root: ', '94.06')
+('epoch: ', 22, 'V all: ', '89.47', '   Test all: ', '87.80', 'V root: ', '88.33', '   Test root: ', '90.83', '   Train: ', '90.88', '   Train root: ', '94.17')
+('epoch: ', 23, 'V all: ', '89.85', '   Test all: ', '88.05', 'V root: ', '90.00', '   Test root: ', '91.67', '   Train: ', '91.04', '   Train root: ', '94.27')
+('epoch: ', 24, 'V all: ', '89.54', '   Test all: ', '88.05', 'V root: ', '87.50', '   Test root: ', '90.83', '   Train: ', '91.48', '   Train root: ', '93.75')
+('epoch: ', 25, 'V all: ', '90.15', '   Test all: ', '88.62', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '91.41', '   Train root: ', '94.69')
+('epoch: ', 26, 'V all: ', '89.54', '   Test all: ', '88.54', 'V root: ', '88.33', '   Test root: ', '90.00', '   Train: ', '91.64', '   Train root: ', '93.65')
+('epoch: ', 27, 'V all: ', '90.08', '   Test all: ', '88.94', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '91.94', '   Train root: ', '95.31')
+('epoch: ', 28, 'V all: ', '90.31', '   Test all: ', '88.62', 'V root: ', '90.00', '   Test root: ', '93.33', '   Train: ', '92.11', '   Train root: ', '95.21')
+('epoch: ', 29, 'V all: ', '90.46', '   Test all: ', '88.46', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '92.15', '   Train root: ', '95.42')
+('epoch: ', 30, 'V all: ', '90.61', '   Test all: ', '89.02', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '92.17', '   Train root: ', '95.94')
+('epoch: ', 31, 'V all: ', '90.23', '   Test all: ', '89.02', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '92.28', '   Train root: ', '95.83')
+('epoch: ', 32, 'V all: ', '89.85', '   Test all: ', '88.70', 'V root: ', '86.67', '   Test root: ', '90.83', '   Train: ', '92.77', '   Train root: ', '95.52')
+('epoch: ', 33, 'V all: ', '90.46', '   Test all: ', '88.78', 'V root: ', '90.00', '   Test root: ', '93.33', '   Train: ', '92.68', '   Train root: ', '96.35')
+('epoch: ', 34, 'V all: ', '90.31', '   Test all: ', '89.11', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '92.96', '   Train root: ', '95.62')
+('epoch: ', 35, 'V all: ', '90.08', '   Test all: ', '89.43', 'V root: ', '89.17', '   Test root: ', '90.83', '   Train: ', '93.27', '   Train root: ', '96.15')
+('epoch: ', 36, 'V all: ', '90.00', '   Test all: ', '88.86', 'V root: ', '88.33', '   Test root: ', '90.00', '   Train: ', '93.26', '   Train root: ', '95.83')
+('epoch: ', 37, 'V all: ', '90.31', '   Test all: ', '88.62', 'V root: ', '89.17', '   Test root: ', '90.83', '   Train: ', '93.19', '   Train root: ', '96.56')
+('epoch: ', 38, 'V all: ', '90.38', '   Test all: ', '89.02', 'V root: ', '89.17', '   Test root: ', '90.83', '   Train: ', '93.57', '   Train root: ', '96.56')
+('epoch: ', 39, 'V all: ', '90.15', '   Test all: ', '88.94', 'V root: ', '90.00', '   Test root: ', '90.00', '   Train: ', '93.39', '   Train root: ', '96.56')
+('epoch: ', 40, 'V all: ', '90.08', '   Test all: ', '89.11', 'V root: ', '89.17', '   Test root: ', '91.67', '   Train: ', '93.56', '   Train root: ', '97.08')
+('Best valid: ', '90.61', ' Test all: ', '89.02', 'Test root: ', '95.00', '   time: ', 7073.389240980148)
+
+model LSTM_1_6 :  h_dim =  100  learning rate =  0.01  lambda =  0.001  noise_rate =  0.1  noise_std =  0.01  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '85.34', '   Test all: ', '84.15', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '84.18', '   Train root: ', '91.77')
+('epoch: ', 3, 'V all: ', '86.41', '   Test all: ', '84.80', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '85.15', '   Train root: ', '92.60')
+('epoch: ', 4, 'V all: ', '87.40', '   Test all: ', '85.20', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '85.83', '   Train root: ', '91.67')
+('epoch: ', 5, 'V all: ', '87.25', '   Test all: ', '86.26', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '86.42', '   Train root: ', '90.31')
+('epoch: ', 6, 'V all: ', '87.71', '   Test all: ', '85.69', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '86.70', '   Train root: ', '92.60')
+('epoch: ', 7, 'V all: ', '88.09', '   Test all: ', '86.50', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '87.38', '   Train root: ', '92.40')
+('epoch: ', 8, 'V all: ', '88.32', '   Test all: ', '86.42', 'V root: ', '88.33', '   Test root: ', '95.00', '   Train: ', '87.49', '   Train root: ', '92.60')
+('epoch: ', 9, 'V all: ', '88.24', '   Test all: ', '87.07', 'V root: ', '86.67', '   Test root: ', '93.33', '   Train: ', '88.01', '   Train root: ', '90.62')
+('epoch: ', 10, 'V all: ', '88.55', '   Test all: ', '87.24', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '88.14', '   Train root: ', '92.40')
+('epoch: ', 11, 'V all: ', '88.47', '   Test all: ', '86.83', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '88.46', '   Train root: ', '93.12')
+('epoch: ', 12, 'V all: ', '88.63', '   Test all: ', '86.75', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '88.94', '   Train root: ', '93.75')
+('epoch: ', 13, 'V all: ', '88.47', '   Test all: ', '87.56', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '89.32', '   Train root: ', '92.29')
+('epoch: ', 14, 'V all: ', '88.70', '   Test all: ', '87.56', 'V root: ', '88.33', '   Test root: ', '91.67', '   Train: ', '89.45', '   Train root: ', '93.02')
+('epoch: ', 15, 'V all: ', '88.78', '   Test all: ', '87.32', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '89.65', '   Train root: ', '94.38')
+('epoch: ', 16, 'V all: ', '89.47', '   Test all: ', '87.72', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '89.88', '   Train root: ', '92.92')
+('epoch: ', 17, 'V all: ', '89.08', '   Test all: ', '88.05', 'V root: ', '86.67', '   Test root: ', '89.17', '   Train: ', '90.06', '   Train root: ', '91.98')
+('epoch: ', 18, 'V all: ', '89.24', '   Test all: ', '87.80', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '90.24', '   Train root: ', '94.58')
+('epoch: ', 19, 'V all: ', '88.78', '   Test all: ', '87.80', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '90.44', '   Train root: ', '94.38')
+('epoch: ', 20, 'V all: ', '89.16', '   Test all: ', '87.97', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '90.64', '   Train root: ', '94.17')
+('epoch: ', 21, 'V all: ', '89.39', '   Test all: ', '88.37', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '90.97', '   Train root: ', '94.27')
+('epoch: ', 22, 'V all: ', '89.24', '   Test all: ', '88.21', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '91.01', '   Train root: ', '94.58')
+('epoch: ', 23, 'V all: ', '89.16', '   Test all: ', '88.29', 'V root: ', '85.00', '   Test root: ', '94.17', '   Train: ', '91.36', '   Train root: ', '94.06')
+('epoch: ', 24, 'V all: ', '89.24', '   Test all: ', '88.62', 'V root: ', '83.33', '   Test root: ', '94.17', '   Train: ', '91.59', '   Train root: ', '93.85')
+('epoch: ', 25, 'V all: ', '89.39', '   Test all: ', '88.29', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '91.52', '   Train root: ', '95.00')
+('epoch: ', 26, 'V all: ', '89.31', '   Test all: ', '89.02', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '91.74', '   Train root: ', '93.54')
+('Best valid: ', '89.47', ' Test all: ', '87.72', 'Test root: ', '94.17', '   time: ', 2767.310956954956)
+
+
+model LSTM_1_5 :  h_dim =  75  learning rate =  0.01  lambda =  0.0001  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '84.43', '   Test all: ', '82.85', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '82.67', '   Train root: ', '90.73')
+('epoch: ', 3, 'V all: ', '86.03', '   Test all: ', '84.63', 'V root: ', '93.33', '   Test root: ', '95.00', '   Train: ', '84.55', '   Train root: ', '92.50')
+('epoch: ', 4, 'V all: ', '87.18', '   Test all: ', '85.12', 'V root: ', '91.67', '   Test root: ', '94.17', '   Train: ', '85.58', '   Train root: ', '92.40')
+('epoch: ', 5, 'V all: ', '87.18', '   Test all: ', '85.85', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '86.06', '   Train root: ', '90.31')
+('epoch: ', 6, 'V all: ', '88.17', '   Test all: ', '85.61', 'V root: ', '92.50', '   Test root: ', '95.00', '   Train: ', '86.56', '   Train root: ', '93.02')
+('epoch: ', 7, 'V all: ', '88.02', '   Test all: ', '86.34', 'V root: ', '90.00', '   Test root: ', '94.17', '   Train: ', '86.82', '   Train root: ', '92.40')
+('epoch: ', 8, 'V all: ', '88.32', '   Test all: ', '86.42', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '87.29', '   Train root: ', '92.60')
+('epoch: ', 9, 'V all: ', '87.86', '   Test all: ', '86.42', 'V root: ', '87.50', '   Test root: ', '93.33', '   Train: ', '87.68', '   Train root: ', '91.04')
+('epoch: ', 10, 'V all: ', '88.09', '   Test all: ', '86.50', 'V root: ', '89.17', '   Test root: ', '93.33', '   Train: ', '87.95', '   Train root: ', '93.12')
+('epoch: ', 11, 'V all: ', '88.09', '   Test all: ', '86.34', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '88.11', '   Train root: ', '92.81')
+('epoch: ', 12, 'V all: ', '88.02', '   Test all: ', '86.42', 'V root: ', '90.00', '   Test root: ', '95.83', '   Train: ', '88.43', '   Train root: ', '93.65')
+('epoch: ', 13, 'V all: ', '88.47', '   Test all: ', '87.24', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '88.94', '   Train root: ', '92.40')
+('epoch: ', 14, 'V all: ', '88.24', '   Test all: ', '86.99', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '88.98', '   Train root: ', '92.40')
+('epoch: ', 15, 'V all: ', '88.55', '   Test all: ', '86.83', 'V root: ', '90.83', '   Test root: ', '95.83', '   Train: ', '89.13', '   Train root: ', '94.48')
+('epoch: ', 16, 'V all: ', '88.47', '   Test all: ', '87.32', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '89.37', '   Train root: ', '92.60')
+('epoch: ', 17, 'V all: ', '88.70', '   Test all: ', '87.15', 'V root: ', '89.17', '   Test root: ', '92.50', '   Train: ', '89.66', '   Train root: ', '91.98')
+('epoch: ', 18, 'V all: ', '89.16', '   Test all: ', '87.24', 'V root: ', '90.83', '   Test root: ', '95.83', '   Train: ', '89.74', '   Train root: ', '93.75')
+('epoch: ', 19, 'V all: ', '88.93', '   Test all: ', '87.24', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '89.81', '   Train root: ', '94.38')
+('epoch: ', 20, 'V all: ', '88.93', '   Test all: ', '87.40', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '89.97', '   Train root: ', '94.17')
+('epoch: ', 21, 'V all: ', '89.31', '   Test all: ', '88.13', 'V root: ', '90.83', '   Test root: ', '93.33', '   Train: ', '90.33', '   Train root: ', '93.44')
+('epoch: ', 22, 'V all: ', '89.16', '   Test all: ', '87.80', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '90.19', '   Train root: ', '93.96')
+('epoch: ', 23, 'V all: ', '89.47', '   Test all: ', '88.37', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '90.44', '   Train root: ', '93.96')
+('epoch: ', 24, 'V all: ', '89.08', '   Test all: ', '88.21', 'V root: ', '85.83', '   Test root: ', '93.33', '   Train: ', '90.87', '   Train root: ', '92.71')
+('epoch: ', 25, 'V all: ', '89.69', '   Test all: ', '88.21', 'V root: ', '90.00', '   Test root: ', '95.83', '   Train: ', '90.87', '   Train root: ', '94.27')
+('epoch: ', 26, 'V all: ', '89.24', '   Test all: ', '88.29', 'V root: ', '90.00', '   Test root: ', '89.17', '   Train: ', '90.81', '   Train root: ', '92.81')
+('epoch: ', 27, 'V all: ', '89.92', '   Test all: ', '88.37', 'V root: ', '91.67', '   Test root: ', '95.00', '   Train: ', '90.86', '   Train root: ', '94.58')
+('epoch: ', 28, 'V all: ', '89.77', '   Test all: ', '88.21', 'V root: ', '87.50', '   Test root: ', '92.50', '   Train: ', '91.17', '   Train root: ', '94.17')
+('epoch: ', 29, 'V all: ', '89.85', '   Test all: ', '88.21', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '91.35', '   Train root: ', '94.48')
+('epoch: ', 30, 'V all: ', '89.85', '   Test all: ', '88.37', 'V root: ', '91.67', '   Test root: ', '95.83', '   Train: ', '91.16', '   Train root: ', '95.52')
+('epoch: ', 31, 'V all: ', '89.69', '   Test all: ', '88.37', 'V root: ', '90.83', '   Test root: ', '95.00', '   Train: ', '91.33', '   Train root: ', '94.90')
+('epoch: ', 32, 'V all: ', '89.77', '   Test all: ', '88.62', 'V root: ', '87.50', '   Test root: ', '91.67', '   Train: ', '91.75', '   Train root: ', '93.96')
+('Best valid: ', '89.92', ' Test all: ', '88.37', 'Test root: ', '95.00', '   time: ', 5235.342432975769)
+
+model LSTM_1_5 :  h_dim =  100  learning rate =  0.01  lambda =  0.0001  batch_size =  1
+
+('epoch: ', 0, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 1, 'V all: ', '82.98', '   Test all: ', '81.87', 'V root: ', '94.17', '   Test root: ', '95.00', '   Train: ', '81.86', '   Train root: ', '90.73')
+('epoch: ', 2, 'V all: ', '85.19', '   Test all: ', '83.66', 'V root: ', '93.33', '   Test root: ', '95.83', '   Train: ', '83.69', '   Train root: ', '91.04')
+('epoch: ', 3, 'V all: ', '86.49', '   Test all: ', '84.88', 'V root: ', '93.33', '   Test root: ', '95.83', '   Train: ', '85.05', '   Train root: ', '93.02')
+('epoch: ', 4, 'V all: ', '87.33', '   Test all: ', '85.28', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '85.77', '   Train root: ', '91.15')
+('epoch: ', 5, 'V all: ', '86.95', '   Test all: ', '86.34', 'V root: ', '85.83', '   Test root: ', '92.50', '   Train: ', '86.40', '   Train root: ', '90.31')
+('epoch: ', 6, 'V all: ', '87.86', '   Test all: ', '85.77', 'V root: ', '89.17', '   Test root: ', '94.17', '   Train: ', '86.63', '   Train root: ', '92.81')
+('epoch: ', 7, 'V all: ', '88.09', '   Test all: ', '86.34', 'V root: ', '88.33', '   Test root: ', '94.17', '   Train: ', '87.18', '   Train root: ', '91.98')
+('epoch: ', 8, 'V all: ', '88.24', '   Test all: ', '86.42', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '87.42', '   Train root: ', '92.19')
+('epoch: ', 9, 'V all: ', '88.02', '   Test all: ', '86.83', 'V root: ', '86.67', '   Test root: ', '93.33', '   Train: ', '87.74', '   Train root: ', '90.31')
+('epoch: ', 10, 'V all: ', '88.55', '   Test all: ', '86.75', 'V root: ', '90.83', '   Test root: ', '94.17', '   Train: ', '87.86', '   Train root: ', '92.60')
+('epoch: ', 11, 'V all: ', '88.32', '   Test all: ', '86.91', 'V root: ', '89.17', '   Test root: ', '95.00', '   Train: ', '88.11', '   Train root: ', '92.19')
+('epoch: ', 12, 'V all: ', '88.32', '   Test all: ', '86.99', 'V root: ', '90.00', '   Test root: ', '95.00', '   Train: ', '88.50', '   Train root: ', '93.85')
+('epoch: ', 13, 'V all: ', '88.40', '   Test all: ', '87.48', 'V root: ', '88.33', '   Test root: ', '92.50', '   Train: ', '88.87', '   Train root: ', '91.67')
+('epoch: ', 14, 'V all: ', '88.02', '   Test all: ', '86.91', 'V root: ', '86.67', '   Test root: ', '92.50', '   Train: ', '88.86', '   Train root: ', '92.19')
+('epoch: ', 15, 'V all: ', '88.47', '   Test all: ', '87.40', 'V root: ', '90.00', '   Test root: ', '97.50', '   Train: ', '89.24', '   Train root: ', '94.58')
+('Best valid: ', '88.55', ' Test all: ', '86.75', 'Test root: ', '94.17', '   time: ', 2870.7919821739197)
+
diff --git a/results/wyniki_sst_LSTM.txt b/results/wyniki_sst_LSTM.txt
index 1e58eba..1873a44 100644
--- a/results/wyniki_sst_LSTM.txt
+++ b/results/wyniki_sst_LSTM.txt
@@ -95,3 +95,521 @@ model LSTM_1 :  h_dim =  100
 ('Best valid: ', '85.85', ' Test all: ', '85.80', 'Test root: ', '43.57', '   time: ', 15920.88519692421)
 
 
+
+
+learning rate:  1e-05
+model LSTM_2 :  h_dim =  50
+
+('epoch: ', 0, 'V all: ', '78.98', '   Test all: ', '78.79', 'V root: ', '20.98', '   Test root: ', '18.33', '   Train: ', '79.14', '   Train root: ', '20.36', '   time: ', 1264.9709548950195)
+('epoch: ', 1, 'V all: ', '81.04', '   Test all: ', '80.82', 'V root: ', '28.52', '   Test root: ', '25.48', '   Train: ', '81.60', '   Train root: ', '26.57', '   time: ', 2531.420680999756)
+('epoch: ', 2, 'V all: ', '82.17', '   Test all: ', '81.79', 'V root: ', '31.97', '   Test root: ', '30.00', '   Train: ', '82.79', '   Train root: ', '30.49', '   time: ', 3824.8934919834137)
+('epoch: ', 3, 'V all: ', '82.93', '   Test all: ', '82.59', 'V root: ', '33.24', '   Test root: ', '29.64', '   Train: ', '83.69', '   Train root: ', '33.82', '   time: ', 5095.283751010895)
+('epoch: ', 4, 'V all: ', '83.59', '   Test all: ', '83.35', 'V root: ', '37.60', '   Test root: ', '35.97', '   Train: ', '84.62', '   Train root: ', '39.26', '   time: ', 6357.866138935089)
+('epoch: ', 5, 'V all: ', '83.90', '   Test all: ', '83.76', 'V root: ', '37.42', '   Test root: ', '36.92', '   Train: ', '85.35', '   Train root: ', '40.08', '   time: ', 7597.144240856171)
+('epoch: ', 6, 'V all: ', '84.47', '   Test all: ', '84.21', 'V root: ', '38.42', '   Test root: ', '35.48', '   Train: ', '86.07', '   Train root: ', '40.08', '   time: ', 8820.272038936615)
+('epoch: ', 7, 'V all: ', '85.01', '   Test all: ', '84.72', 'V root: ', '39.51', '   Test root: ', '37.92', '   Train: ', '86.75', '   Train root: ', '42.13', '   time: ', 10135.699599027634)
+('epoch: ', 8, 'V all: ', '85.05', '   Test all: ', '84.61', 'V root: ', '41.24', '   Test root: ', '37.96', '   Train: ', '86.88', '   Train root: ', '45.52', '   time: ', 11385.23737192154)
+('epoch: ', 9, 'V all: ', '85.12', '   Test all: ', '85.05', 'V root: ', '40.51', '   Test root: ', '39.82', '   Train: ', '87.25', '   Train root: ', '46.52', '   time: ', 12619.558222055435)
+('epoch: ', 10, 'V all: ', '85.17', '   Test all: ', '84.98', 'V root: ', '38.24', '   Test root: ', '36.61', '   Train: ', '87.54', '   Train root: ', '44.24', '   time: ', 13847.368337869644)
+('epoch: ', 11, 'V all: ', '85.29', '   Test all: ', '85.10', 'V root: ', '42.23', '   Test root: ', '42.31', '   Train: ', '87.91', '   Train root: ', '51.38', '   time: ', 15077.549070835114)
+('epoch: ', 12, 'V all: ', '85.67', '   Test all: ', '85.43', 'V root: ', '42.96', '   Test root: ', '40.77', '   Train: ', '88.80', '   Train root: ', '50.50', '   time: ', 16320.542049884796)
+('epoch: ', 13, 'V all: ', '85.30', '   Test all: ', '85.17', 'V root: ', '43.05', '   Test root: ', '43.53', '   Train: ', '88.91', '   Train root: ', '56.52', '   time: ', 17576.64490890503)
+('epoch: ', 14, 'V all: ', '85.32', '   Test all: ', '85.08', 'V root: ', '42.14', '   Test root: ', '42.67', '   Train: ', '89.27', '   Train root: ', '56.58', '   time: ', 18978.361600875854)
+('epoch: ', 15, 'V all: ', '85.32', '   Test all: ', '85.30', 'V root: ', '41.78', '   Test root: ', '42.40', '   Train: ', '89.63', '   Train root: ', '56.29', '   time: ', 20336.77742600441)
+('epoch: ', 16, 'V all: ', '85.24', '   Test all: ', '85.17', 'V root: ', '42.14', '   Test root: ', '41.95', '   Train: ', '90.05', '   Train root: ', '61.79', '   time: ', 21581.76188802719)
+('epoch: ', 17, 'V all: ', '85.13', '   Test all: ', '85.25', 'V root: ', '43.14', '   Test root: ', '42.85', '   Train: ', '90.40', '   Train root: ', '60.97', '   time: ', 22819.246693849564)
+('Best valid: ', '85.67', ' Test all: ', '85.43', 'Test root: ', '40.77', '   time: ', 22819.24672985077)
+
+
+
+
+
+
+learning rate:  0.002
+model LSTM_3 :  h_dim =  50
+
+('epoch: ', 0, 'V all: ', '81.48', '   Test all: ', '81.17', 'V root: ', '38.42', '   Test root: ', '38.14', '   Train: ', '81.50', '   Train root: ', '38.15', '   time: ', 800.0361089706421)
+('epoch: ', 1, 'V all: ', '82.59', '   Test all: ', '82.39', 'V root: ', '39.96', '   Test root: ', '42.04', '   Train: ', '82.94', '   Train root: ', '41.95', '   time: ', 1700.580873966217)
+('epoch: ', 2, 'V all: ', '83.44', '   Test all: ', '83.24', 'V root: ', '43.69', '   Test root: ', '41.63', '   Train: ', '84.50', '   Train root: ', '45.82', '   time: ', 2489.4914309978485)
+('epoch: ', 3, 'V all: ', '84.07', '   Test all: ', '83.95', 'V root: ', '43.51', '   Test root: ', '43.53', '   Train: ', '85.17', '   Train root: ', '46.81', '   time: ', 3258.8812239170074)
+('epoch: ', 4, 'V all: ', '84.22', '   Test all: ', '84.24', 'V root: ', '44.32', '   Test root: ', '44.48', '   Train: ', '85.41', '   Train root: ', '47.40', '   time: ', 4135.823409080505)
+('epoch: ', 5, 'V all: ', '84.64', '   Test all: ', '84.66', 'V root: ', '44.05', '   Test root: ', '43.48', '   Train: ', '86.45', '   Train root: ', '47.69', '   time: ', 4970.21085190773)
+('epoch: ', 6, 'V all: ', '84.97', '   Test all: ', '84.82', 'V root: ', '45.78', '   Test root: ', '45.02', '   Train: ', '86.71', '   Train root: ', '50.44', '   time: ', 5803.051337957382)
+('epoch: ', 7, 'V all: ', '85.31', '   Test all: ', '85.16', 'V root: ', '45.87', '   Test root: ', '44.89', '   Train: ', '87.08', '   Train root: ', '48.16', '   time: ', 6548.167996883392)
+('epoch: ', 8, 'V all: ', '85.19', '   Test all: ', '85.11', 'V root: ', '45.14', '   Test root: ', '44.30', '   Train: ', '87.09', '   Train root: ', '49.80', '   time: ', 7304.198287963867)
+('epoch: ', 9, 'V all: ', '85.34', '   Test all: ', '85.33', 'V root: ', '42.78', '   Test root: ', '42.22', '   Train: ', '87.24', '   Train root: ', '47.81', '   time: ', 8048.636054992676)
+('epoch: ', 10, 'V all: ', '85.59', '   Test all: ', '85.52', 'V root: ', '43.96', '   Test root: ', '43.35', '   Train: ', '87.69', '   Train root: ', '51.08', '   time: ', 8793.37363910675)
+('epoch: ', 11, 'V all: ', '85.33', '   Test all: ', '85.60', 'V root: ', '45.05', '   Test root: ', '44.98', '   Train: ', '87.72', '   Train root: ', '52.31', '   time: ', 9534.563177108765)
+('epoch: ', 12, 'V all: ', '85.36', '   Test all: ', '85.61', 'V root: ', '43.87', '   Test root: ', '44.84', '   Train: ', '88.63', '   Train root: ', '53.01', '   time: ', 10269.930835008621)
+('epoch: ', 13, 'V all: ', '85.38', '   Test all: ', '85.35', 'V root: ', '45.59', '   Test root: ', '44.66', '   Train: ', '88.58', '   Train root: ', '57.05', '   time: ', 11007.337008953094)
+('epoch: ', 14, 'V all: ', '85.26', '   Test all: ', '85.26', 'V root: ', '44.87', '   Test root: ', '46.38', '   Train: ', '88.73', '   Train root: ', '55.35', '   time: ', 11739.601077079773)
+('epoch: ', 15, 'V all: ', '85.61', '   Test all: ', '85.74', 'V root: ', '42.42', '   Test root: ', '43.39', '   Train: ', '89.15', '   Train root: ', '56.35', '   time: ', 12471.158879041672)
+('epoch: ', 16, 'V all: ', '85.50', '   Test all: ', '85.53', 'V root: ', '40.42', '   Test root: ', '39.32', '   Train: ', '88.86', '   Train root: ', '54.07', '   time: ', 13197.613173007965)
+('epoch: ', 17, 'V all: ', '85.60', '   Test all: ', '85.79', 'V root: ', '43.32', '   Test root: ', '44.07', '   Train: ', '89.63', '   Train root: ', '58.81', '   time: ', 13928.40025305748)
+('epoch: ', 18, 'V all: ', '85.41', '   Test all: ', '85.47', 'V root: ', '43.05', '   Test root: ', '44.93', '   Train: ', '90.29', '   Train root: ', '61.85', '   time: ', 14656.27545595169)
+('epoch: ', 19, 'V all: ', '85.61', '   Test all: ', '85.79', 'V root: ', '42.87', '   Test root: ', '44.12', '   Train: ', '90.60', '   Train root: ', '61.61', '   time: ', 15383.735025882721)
+('epoch: ', 20, 'V all: ', '85.40', '   Test all: ', '85.75', 'V root: ', '43.78', '   Test root: ', '44.48', '   Train: ', '90.85', '   Train root: ', '63.14', '   time: ', 16116.925470113754)
+('Best valid: ', '85.61', ' Test all: ', '85.74', 'Test root: ', '43.39', '   time: ', 16116.925527095795)
+
+
+learning rate:  0.001
+model LSTM_3 :  h_dim =  100
+
+('epoch: ', 0, 'V all: ', '79.62', '   Test all: ', '79.47', 'V root: ', '34.70', '   Test root: ', '33.89', '   Train: ', '79.44', '   Train root: ', '33.88', '   time: ', 749.9897890090942)
+('epoch: ', 1, 'V all: ', '81.46', '   Test all: ', '81.18', 'V root: ', '39.06', '   Test root: ', '39.00', '   Train: ', '81.21', '   Train root: ', '41.36', '   time: ', 1492.5104279518127)
+('epoch: ', 2, 'V all: ', '82.45', '   Test all: ', '82.41', 'V root: ', '40.33', '   Test root: ', '40.90', '   Train: ', '82.40', '   Train root: ', '43.93', '   time: ', 2227.926227092743)
+('epoch: ', 3, 'V all: ', '83.08', '   Test all: ', '82.98', 'V root: ', '40.60', '   Test root: ', '41.54', '   Train: ', '84.25', '   Train root: ', '45.79', '   time: ', 2956.654398918152)
+('epoch: ', 4, 'V all: ', '83.31', '   Test all: ', '83.32', 'V root: ', '43.14', '   Test root: ', '43.44', '   Train: ', '83.51', '   Train root: ', '44.16', '   time: ', 3701.1155960559845)
+('epoch: ', 5, 'V all: ', '83.67', '   Test all: ', '83.71', 'V root: ', '42.23', '   Test root: ', '44.57', '   Train: ', '85.24', '   Train root: ', '47.20', '   time: ', 4443.482961893082)
+('epoch: ', 6, 'V all: ', '83.73', '   Test all: ', '83.82', 'V root: ', '42.96', '   Test root: ', '43.53', '   Train: ', '84.50', '   Train root: ', '47.90', '   time: ', 5193.011249065399)
+('epoch: ', 7, 'V all: ', '84.33', '   Test all: ', '84.43', 'V root: ', '44.41', '   Test root: ', '44.75', '   Train: ', '85.22', '   Train root: ', '47.43', '   time: ', 5954.038531064987)
+('epoch: ', 8, 'V all: ', '84.46', '   Test all: ', '84.33', 'V root: ', '44.32', '   Test root: ', '42.62', '   Train: ', '85.08', '   Train root: ', '49.07', '   time: ', 6729.965866088867)
+('epoch: ', 9, 'V all: ', '84.53', '   Test all: ', '84.43', 'V root: ', '41.51', '   Test root: ', '40.23', '   Train: ', '85.71', '   Train root: ', '42.06', '   time: ', 7494.0906319618225)
+('epoch: ', 10, 'V all: ', '84.83', '   Test all: ', '84.77', 'V root: ', '43.42', '   Test root: ', '42.17', '   Train: ', '85.98', '   Train root: ', '43.93', '   time: ', 8260.150507926941)
+('epoch: ', 11, 'V all: ', '84.85', '   Test all: ', '84.86', 'V root: ', '43.23', '   Test root: ', '43.62', '   Train: ', '85.74', '   Train root: ', '44.63', '   time: ', 9009.142318964005)
+('epoch: ', 12, 'V all: ', '85.03', '   Test all: ', '84.98', 'V root: ', '44.41', '   Test root: ', '43.17', '   Train: ', '87.02', '   Train root: ', '49.30', '   time: ', 9737.232783079147)
+('epoch: ', 13, 'V all: ', '85.11', '   Test all: ', '84.94', 'V root: ', '44.05', '   Test root: ', '44.84', '   Train: ', '87.10', '   Train root: ', '48.83', '   time: ', 10468.910512924194)
+('epoch: ', 14, 'V all: ', '85.07', '   Test all: ', '84.98', 'V root: ', '44.78', '   Test root: ', '46.56', '   Train: ', '86.64', '   Train root: ', '50.70', '   time: ', 11197.363630056381)
+('epoch: ', 15, 'V all: ', '85.38', '   Test all: ', '85.27', 'V root: ', '43.78', '   Test root: ', '42.04', '   Train: ', '87.27', '   Train root: ', '49.53', '   time: ', 11927.955600976944)
+('epoch: ', 16, 'V all: ', '85.36', '   Test all: ', '85.39', 'V root: ', '41.78', '   Test root: ', '42.58', '   Train: ', '87.55', '   Train root: ', '52.80', '   time: ', 12670.271972894669)
+('epoch: ', 17, 'V all: ', '85.64', '   Test all: ', '85.31', 'V root: ', '45.32', '   Test root: ', '42.35', '   Train: ', '87.62', '   Train root: ', '56.78', '   time: ', 13449.95221209526)
+('epoch: ', 18, 'V all: ', '85.38', '   Test all: ', '85.42', 'V root: ', '42.23', '   Test root: ', '45.52', '   Train: ', '88.06', '   Train root: ', '51.17', '   time: ', 14195.296268939972)
+('epoch: ', 19, 'V all: ', '85.54', '   Test all: ', '85.51', 'V root: ', '43.87', '   Test root: ', '42.31', '   Train: ', '87.80', '   Train root: ', '45.56', '   time: ', 14945.901012897491)
+('epoch: ', 20, 'V all: ', '85.67', '   Test all: ', '85.60', 'V root: ', '46.14', '   Test root: ', '43.85', '   Train: ', '89.29', '   Train root: ', '55.61', '   time: ', 15672.041676998138)
+('epoch: ', 21, 'V all: ', '85.68', '   Test all: ', '85.56', 'V root: ', '44.23', '   Test root: ', '43.35', '   Train: ', '88.97', '   Train root: ', '56.54', '   time: ', 16355.03719496727)
+('epoch: ', 22, 'V all: ', '85.62', '   Test all: ', '85.58', 'V root: ', '44.69', '   Test root: ', '44.39', '   Train: ', '88.97', '   Train root: ', '56.54', '   time: ', 17051.05740594864)
+('epoch: ', 23, 'V all: ', '85.65', '   Test all: ', '85.81', 'V root: ', '44.41', '   Test root: ', '43.85', '   Train: ', '88.51', '   Train root: ', '53.97', '   time: ', 17729.852876901627)
+('epoch: ', 24, 'V all: ', '85.48', '   Test all: ', '85.83', 'V root: ', '42.78', '   Test root: ', '45.11', '   Train: ', '88.92', '   Train root: ', '59.11', '   time: ', 18482.74771308899)
+('epoch: ', 25, 'V all: ', '85.76', '   Test all: ', '85.60', 'V root: ', '43.87', '   Test root: ', '43.08', '   Train: ', '88.77', '   Train root: ', '52.80', '   time: ', 19219.93962407112)
+('epoch: ', 26, 'V all: ', '85.79', '   Test all: ', '85.83', 'V root: ', '43.87', '   Test root: ', '44.52', '   Train: ', '89.34', '   Train root: ', '54.91', '   time: ', 19909.516259908676)
+('epoch: ', 27, 'V all: ', '85.55', '   Test all: ', '85.63', 'V root: ', '41.60', '   Test root: ', '42.08', '   Train: ', '88.92', '   Train root: ', '55.61', '   time: ', 20587.36803293228)
+('epoch: ', 28, 'V all: ', '85.78', '   Test all: ', '85.79', 'V root: ', '43.96', '   Test root: ', '45.43', '   Train: ', '89.26', '   Train root: ', '54.91', '   time: ', 21265.532442092896)
+('epoch: ', 29, 'V all: ', '85.57', '   Test all: ', '85.68', 'V root: ', '43.42', '   Test root: ', '44.57', '   Train: ', '90.44', '   Train root: ', '59.81', '   time: ', 21943.615442037582)
+('epoch: ', 30, 'V all: ', '85.56', '   Test all: ', '85.43', 'V root: ', '41.60', '   Test root: ', '42.90', '   Train: ', '89.62', '   Train root: ', '56.78', '   time: ', 22621.755898952484)
+('Best valid: ', '46.14', ' Test all: ', '85.60', 'Test root: ', '43.85', '   time: ', 22621.755957126617)
+
+
+learning rate:  0.002
+model LSTM_4 :  h_dim =  50
+
+('epoch: ', 0, 'V all: ', '81.48', '   Test all: ', '81.16', 'V root: ', '38.42', '   Test root: ', '38.10', '   Train: ', '81.50', '   Train root: ', '38.03', '   time: ', 714.5005259513855)
+('epoch: ', 1, 'V all: ', '82.57', '   Test all: ', '82.38', 'V root: ', '40.05', '   Test root: ', '42.22', '   Train: ', '82.93', '   Train root: ', '42.07', '   time: ', 1432.9325098991394)
+('epoch: ', 2, 'V all: ', '83.43', '   Test all: ', '83.23', 'V root: ', '43.78', '   Test root: ', '41.67', '   Train: ', '84.50', '   Train root: ', '45.76', '   time: ', 2142.998417854309)
+('epoch: ', 3, 'V all: ', '84.05', '   Test all: ', '83.96', 'V root: ', '43.51', '   Test root: ', '43.44', '   Train: ', '85.18', '   Train root: ', '46.75', '   time: ', 2851.0097348690033)
+('epoch: ', 4, 'V all: ', '84.20', '   Test all: ', '84.25', 'V root: ', '44.14', '   Test root: ', '44.57', '   Train: ', '85.40', '   Train root: ', '47.34', '   time: ', 3560.7697308063507)
+('epoch: ', 5, 'V all: ', '84.65', '   Test all: ', '84.63', 'V root: ', '43.96', '   Test root: ', '43.48', '   Train: ', '86.44', '   Train root: ', '47.75', '   time: ', 4270.747347831726)
+('epoch: ', 6, 'V all: ', '84.99', '   Test all: ', '84.81', 'V root: ', '46.05', '   Test root: ', '45.02', '   Train: ', '86.69', '   Train root: ', '50.56', '   time: ', 4986.5347628593445)
+('epoch: ', 7, 'V all: ', '85.32', '   Test all: ', '85.13', 'V root: ', '45.87', '   Test root: ', '44.89', '   Train: ', '87.11', '   Train root: ', '48.39', '   time: ', 5699.716857910156)
+('epoch: ', 8, 'V all: ', '85.18', '   Test all: ', '85.09', 'V root: ', '44.96', '   Test root: ', '44.03', '   Train: ', '87.12', '   Train root: ', '50.09', '   time: ', 6408.068493843079)
+('epoch: ', 9, 'V all: ', '85.32', '   Test all: ', '85.32', 'V root: ', '42.78', '   Test root: ', '42.13', '   Train: ', '87.22', '   Train root: ', '47.75', '   time: ', 7117.2217128276825)
+('epoch: ', 10, 'V all: ', '85.64', '   Test all: ', '85.53', 'V root: ', '44.32', '   Test root: ', '43.35', '   Train: ', '87.66', '   Train root: ', '50.67', '   time: ', 7826.696105957031)
+('epoch: ', 11, 'V all: ', '85.30', '   Test all: ', '85.61', 'V root: ', '44.69', '   Test root: ', '44.98', '   Train: ', '87.75', '   Train root: ', '52.31', '   time: ', 8535.304996967316)
+('epoch: ', 12, 'V all: ', '85.36', '   Test all: ', '85.58', 'V root: ', '44.05', '   Test root: ', '44.52', '   Train: ', '88.60', '   Train root: ', '52.49', '   time: ', 9243.876806974411)
+('epoch: ', 13, 'V all: ', '85.35', '   Test all: ', '85.36', 'V root: ', '45.69', '   Test root: ', '44.52', '   Train: ', '88.60', '   Train root: ', '57.23', '   time: ', 9952.95567893982)
+('epoch: ', 14, 'V all: ', '85.24', '   Test all: ', '85.28', 'V root: ', '45.23', '   Test root: ', '46.56', '   Train: ', '88.70', '   Train root: ', '55.30', '   time: ', 10662.067133903503)
+('epoch: ', 15, 'V all: ', '85.63', '   Test all: ', '85.73', 'V root: ', '42.23', '   Test root: ', '43.53', '   Train: ', '89.14', '   Train root: ', '56.17', '   time: ', 11377.74194598198)
+('Best valid: ', '85.64', ' Test all: ', '85.53', 'Test root: ', '43.35', '   time: ', 11377.741984844208)
+
+
+learning rate:  0.002
+model LSTM_6 :  h_dim =  50
+
+('epoch: ', 0, 'V all: ', '80.82', '   Test all: ', '80.64', 'V root: ', '37.78', '   Test root: ', '38.46', '   Train: ', '80.48', '   Train root: ', '38.55', '   time: ', 609.2381889820099)
+('epoch: ', 1, 'V all: ', '81.77', '   Test all: ', '81.56', 'V root: ', '39.87', '   Test root: ', '41.13', '   Train: ', '80.90', '   Train root: ', '40.19', '   time: ', 1269.713840007782)
+('epoch: ', 2, 'V all: ', '82.99', '   Test all: ', '82.74', 'V root: ', '42.05', '   Test root: ', '41.27', '   Train: ', '83.34', '   Train root: ', '43.46', '   time: ', 1953.734785079956)
+('epoch: ', 3, 'V all: ', '83.37', '   Test all: ', '83.17', 'V root: ', '43.23', '   Test root: ', '41.76', '   Train: ', '84.64', '   Train root: ', '43.93', '   time: ', 2494.5895988941193)
+('epoch: ', 4, 'V all: ', '83.69', '   Test all: ', '83.44', 'V root: ', '43.42', '   Test root: ', '43.39', '   Train: ', '83.88', '   Train root: ', '45.09', '   time: ', 3208.208069086075)
+('epoch: ', 5, 'V all: ', '83.74', '   Test all: ', '83.79', 'V root: ', '43.05', '   Test root: ', '43.44', '   Train: ', '85.42', '   Train root: ', '45.56', '   time: ', 3901.161493062973)
+('epoch: ', 6, 'V all: ', '84.14', '   Test all: ', '84.05', 'V root: ', '44.96', '   Test root: ', '44.03', '   Train: ', '84.97', '   Train root: ', '51.40', '   time: ', 4617.298362970352)
+('epoch: ', 7, 'V all: ', '84.42', '   Test all: ', '84.33', 'V root: ', '45.50', '   Test root: ', '45.16', '   Train: ', '85.23', '   Train root: ', '43.69', '   time: ', 5336.072175979614)
+('epoch: ', 8, 'V all: ', '84.39', '   Test all: ', '84.31', 'V root: ', '43.87', '   Test root: ', '43.17', '   Train: ', '85.21', '   Train root: ', '47.90', '   time: ', 5953.763227939606)
+('epoch: ', 9, 'V all: ', '84.58', '   Test all: ', '84.28', 'V root: ', '42.23', '   Test root: ', '40.05', '   Train: ', '85.92', '   Train root: ', '42.52', '   time: ', 6489.585222005844)
+('epoch: ', 10, 'V all: ', '84.69', '   Test all: ', '84.54', 'V root: ', '42.96', '   Test root: ', '41.31', '   Train: ', '85.66', '   Train root: ', '42.29', '   time: ', 7056.762260913849)
+('epoch: ', 11, 'V all: ', '84.61', '   Test all: ', '84.68', 'V root: ', '42.78', '   Test root: ', '43.98', '   Train: ', '85.82', '   Train root: ', '47.66', '   time: ', 7664.8023200035095)
+('epoch: ', 12, 'V all: ', '84.83', '   Test all: ', '84.69', 'V root: ', '44.50', '   Test root: ', '43.35', '   Train: ', '86.90', '   Train root: ', '47.90', '   time: ', 8309.131129980087)
+('epoch: ', 13, 'V all: ', '84.63', '   Test all: ', '84.38', 'V root: ', '43.42', '   Test root: ', '42.62', '   Train: ', '86.87', '   Train root: ', '50.70', '   time: ', 8986.85643196106)
+('epoch: ', 14, 'V all: ', '84.65', '   Test all: ', '84.60', 'V root: ', '45.23', '   Test root: ', '44.71', '   Train: ', '86.47', '   Train root: ', '53.74', '   time: ', 9845.252264976501)
+('epoch: ', 15, 'V all: ', '85.13', '   Test all: ', '84.87', 'V root: ', '43.69', '   Test root: ', '41.45', '   Train: ', '87.45', '   Train root: ', '48.60', '   time: ', 10437.355458021164)
+('epoch: ', 16, 'V all: ', '85.07', '   Test all: ', '84.84', 'V root: ', '40.78', '   Test root: ', '38.10', '   Train: ', '87.27', '   Train root: ', '48.60', '   time: ', 11007.180533885956)
+('epoch: ', 17, 'V all: ', '85.16', '   Test all: ', '84.89', 'V root: ', '44.60', '   Test root: ', '42.04', '   Train: ', '87.55', '   Train root: ', '56.07', '   time: ', 11828.836241960526)
+('epoch: ', 18, 'V all: ', '84.95', '   Test all: ', '84.90', 'V root: ', '42.33', '   Test root: ', '44.16', '   Train: ', '88.14', '   Train root: ', '55.84', '   time: ', 12470.831551074982)
+('epoch: ', 19, 'V all: ', '85.28', '   Test all: ', '85.04', 'V root: ', '42.78', '   Test root: ', '41.13', '   Train: ', '88.03', '   Train root: ', '52.80', '   time: ', 13361.829721927643)
+('epoch: ', 20, 'V all: ', '85.24', '   Test all: ', '85.00', 'V root: ', '44.41', '   Test root: ', '42.08', '   Train: ', '89.13', '   Train root: ', '57.71', '   time: ', 14152.357732057571)
+('epoch: ', 21, 'V all: ', '85.06', '   Test all: ', '84.92', 'V root: ', '42.78', '   Test root: ', '41.99', '   Train: ', '88.96', '   Train root: ', '56.07', '   time: ', 15049.449470996857)
+('epoch: ', 22, 'V all: ', '84.91', '   Test all: ', '84.89', 'V root: ', '42.33', '   Test root: ', '41.18', '   Train: ', '88.99', '   Train root: ', '59.35', '   time: ', 15946.550260066986)
+('epoch: ', 23, 'V all: ', '85.11', '   Test all: ', '85.04', 'V root: ', '41.42', '   Test root: ', '41.45', '   Train: ', '88.84', '   Train root: ', '57.24', '   time: ', 16841.996558904648)
+('epoch: ', 24, 'V all: ', '85.07', '   Test all: ', '85.09', 'V root: ', '42.42', '   Test root: ', '41.72', '   Train: ', '88.60', '   Train root: ', '59.11', '   time: ', 17482.262006044388)
+('Best valid: ', '85.28', ' Test all: ', '85.04', 'Test root: ', '41.13', '   time: ', 17482.262067079544)
+
+learning rate:  0.004  decay =  0.75
+model LSTM_6 :  h_dim =  50
+
+('epoch: ', 0, 'V all: ', '81.76', '   Test all: ', '81.61', 'V root: ', '40.24', '   Test root: ', '40.23', '   Train: ', '81.42', '   Train root: ', '39.02', '   time: ', 437.27872800827026)
+('epoch: ', 1, 'V all: ', '82.76', '   Test all: ', '82.41', 'V root: ', '43.78', '   Test root: ', '43.53', '   Train: ', '82.74', '   Train root: ', '46.26', '   time: ', 867.5661280155182)
+('epoch: ', 2, 'V all: ', '83.31', '   Test all: ', '83.25', 'V root: ', '42.51', '   Test root: ', '43.30', '   Train: ', '83.99', '   Train root: ', '45.33', '   time: ', 1245.7489058971405)
+('epoch: ', 3, 'V all: ', '83.72', '   Test all: ', '83.55', 'V root: ', '43.51', '   Test root: ', '43.53', '   Train: ', '85.07', '   Train root: ', '45.09', '   time: ', 1622.2225499153137)
+('epoch: ', 4, 'V all: ', '83.92', '   Test all: ', '83.82', 'V root: ', '44.50', '   Test root: ', '44.80', '   Train: ', '84.35', '   Train root: ', '47.90', '   time: ', 1997.985074043274)
+('epoch: ', 5, 'V all: ', '84.07', '   Test all: ', '83.99', 'V root: ', '44.60', '   Test root: ', '45.02', '   Train: ', '85.67', '   Train root: ', '48.60', '   time: ', 2372.332076072693)
+('epoch: ', 6, 'V all: ', '84.15', '   Test all: ', '84.05', 'V root: ', '44.69', '   Test root: ', '45.07', '   Train: ', '85.16', '   Train root: ', '47.90', '   time: ', 2759.9386460781097)
+('epoch: ', 7, 'V all: ', '84.39', '   Test all: ', '84.13', 'V root: ', '44.69', '   Test root: ', '44.71', '   Train: ', '85.37', '   Train root: ', '45.56', '   time: ', 3175.3451499938965)
+('epoch: ', 8, 'V all: ', '84.32', '   Test all: ', '84.04', 'V root: ', '45.14', '   Test root: ', '43.21', '   Train: ', '85.13', '   Train root: ', '47.90', '   time: ', 3557.9760859012604)
+('epoch: ', 9, 'V all: ', '84.41', '   Test all: ', '84.22', 'V root: ', '45.41', '   Test root: ', '44.21', '   Train: ', '85.97', '   Train root: ', '48.13', '   time: ', 4165.705630064011)
+('epoch: ', 10, 'V all: ', '84.49', '   Test all: ', '84.35', 'V root: ', '45.23', '   Test root: ', '44.84', '   Train: ', '85.33', '   Train root: ', '41.36', '   time: ', 4828.821245908737)
+('epoch: ', 11, 'V all: ', '84.39', '   Test all: ', '84.22', 'V root: ', '45.32', '   Test root: ', '44.43', '   Train: ', '85.16', '   Train root: ', '48.60', '   time: ', 5494.119389057159)
+('epoch: ', 12, 'V all: ', '84.47', '   Test all: ', '84.29', 'V root: ', '45.05', '   Test root: ', '44.80', '   Train: ', '85.97', '   Train root: ', '46.03', '   time: ', 6156.7377870082855)
+('epoch: ', 13, 'V all: ', '84.42', '   Test all: ', '84.23', 'V root: ', '45.05', '   Test root: ', '44.03', '   Train: ', '86.10', '   Train root: ', '50.93', '   time: ', 6818.554995059967)
+('epoch: ', 14, 'V all: ', '84.44', '   Test all: ', '84.25', 'V root: ', '45.50', '   Test root: ', '44.52', '   Train: ', '85.30', '   Train root: ', '50.00', '   time: ', 7443.335992097855)
+('epoch: ', 15, 'V all: ', '84.54', '   Test all: ', '84.24', 'V root: ', '45.32', '   Test root: ', '44.16', '   Train: ', '85.86', '   Train root: ', '44.86', '   time: ', 8106.289012908936)
+('epoch: ', 16, 'V all: ', '84.51', '   Test all: ', '84.28', 'V root: ', '45.50', '   Test root: ', '44.48', '   Train: ', '85.89', '   Train root: ', '50.00', '   time: ', 8768.427921056747)
+('epoch: ', 17, 'V all: ', '84.48', '   Test all: ', '84.25', 'V root: ', '45.41', '   Test root: ', '44.25', '   Train: ', '85.51', '   Train root: ', '51.40', '   time: ', 9430.90157198906)
+('epoch: ', 18, 'V all: ', '84.49', '   Test all: ', '84.26', 'V root: ', '45.32', '   Test root: ', '44.52', '   Train: ', '85.90', '   Train root: ', '46.96', '   time: ', 10019.516314029694)
+('epoch: ', 19, 'V all: ', '84.55', '   Test all: ', '84.27', 'V root: ', '45.59', '   Test root: ', '44.34', '   Train: ', '85.90', '   Train root: ', '45.79', '   time: ', 10422.108362913132)
+('epoch: ', 20, 'V all: ', '84.55', '   Test all: ', '84.29', 'V root: ', '45.69', '   Test root: ', '44.21', '   Train: ', '86.87', '   Train root: ', '50.47', '   time: ', 10781.508892059326)
+('epoch: ', 21, 'V all: ', '84.52', '   Test all: ', '84.26', 'V root: ', '45.69', '   Test root: ', '44.25', '   Train: ', '86.07', '   Train root: ', '49.30', '   time: ', 11121.993552923203)
+('epoch: ', 22, 'V all: ', '84.48', '   Test all: ', '84.26', 'V root: ', '45.32', '   Test root: ', '44.25', '   Train: ', '86.36', '   Train root: ', '48.13', '   time: ', 11462.555330991745)
+('epoch: ', 23, 'V all: ', '84.49', '   Test all: ', '84.27', 'V root: ', '45.23', '   Test root: ', '44.25', '   Train: ', '85.62', '   Train root: ', '46.03', '   time: ', 11802.672899007797)
+('epoch: ', 24, 'V all: ', '84.50', '   Test all: ', '84.26', 'V root: ', '45.23', '   Test root: ', '44.16', '   Train: ', '85.50', '   Train root: ', '53.74', '   time: ', 12143.058746099472)
+('Best valid: ', '84.55', ' Test all: ', '84.27', 'Test root: ', '44.34', '   time: ', 12143.058799982071)
+
+
+learning rate 0.0002, lambda = 0.004
+LSTM_2_1
+ slabo - predykcja na root rzedu 36, a na treningowym dopasował się mocno
+
+
+learning rate:  0.0001
+model LSTM_2_1 :  h_dim =  150 lambda =  0.005
+
+('epoch: ', 0, 'V all: ', '78.24', '   Test all: ', '78.20', 'V root: ', '28.88', '   Test root: ', '26.61', '   Train: ', '78.65', '   Train root: ', '26.17', '   time: ', 734.439539194107)
+('epoch: ', 1, 'V all: ', '79.20', '   Test all: ', '78.89', 'V root: ', '30.97', '   Test root: ', '26.33', '   Train: ', '79.82', '   Train root: ', '32.94', '   time: ', 1468.0014491081238)
+('epoch: ', 2, 'V all: ', '79.91', '   Test all: ', '79.47', 'V root: ', '32.70', '   Test root: ', '27.74', '   Train: ', '80.09', '   Train root: ', '31.78', '   time: ', 2216.811266183853)
+('epoch: ', 3, 'V all: ', '80.16', '   Test all: ', '79.92', 'V root: ', '32.06', '   Test root: ', '28.78', '   Train: ', '82.08', '   Train root: ', '35.51', '   time: ', 2957.845933198929)
+('epoch: ', 4, 'V all: ', '80.95', '   Test all: ', '80.78', 'V root: ', '32.79', '   Test root: ', '30.00', '   Train: ', '82.17', '   Train root: ', '36.68', '   time: ', 3701.1630520820618)
+('epoch: ', 5, 'V all: ', '81.37', '   Test all: ', '81.26', 'V root: ', '33.24', '   Test root: ', '30.36', '   Train: ', '83.64', '   Train root: ', '38.32', '   time: ', 4446.573059082031)
+('epoch: ', 6, 'V all: ', '81.82', '   Test all: ', '81.58', 'V root: ', '34.15', '   Test root: ', '30.86', '   Train: ', '83.62', '   Train root: ', '39.02', '   time: ', 5209.6567261219025)
+('epoch: ', 7, 'V all: ', '82.04', '   Test all: ', '81.76', 'V root: ', '35.69', '   Test root: ', '30.23', '   Train: ', '83.71', '   Train root: ', '38.32', '   time: ', 6169.058047056198)
+('epoch: ', 8, 'V all: ', '82.27', '   Test all: ', '82.01', 'V root: ', '35.69', '   Test root: ', '31.27', '   Train: ', '84.30', '   Train root: ', '41.12', '   time: ', 7018.258097171783)
+('epoch: ', 9, 'V all: ', '82.37', '   Test all: ', '82.23', 'V root: ', '34.70', '   Test root: ', '31.86', '   Train: ', '85.15', '   Train root: ', '42.76', '   time: ', 7792.172476053238)
+('epoch: ', 10, 'V all: ', '82.53', '   Test all: ', '82.37', 'V root: ', '34.51', '   Test root: ', '31.58', '   Train: ', '85.33', '   Train root: ', '38.55', '   time: ', 8526.773883104324)
+('epoch: ', 11, 'V all: ', '82.62', '   Test all: ', '82.53', 'V root: ', '35.15', '   Test root: ', '32.85', '   Train: ', '85.11', '   Train root: ', '44.86', '   time: ', 9254.488457202911)
+('epoch: ', 12, 'V all: ', '82.83', '   Test all: ', '82.67', 'V root: ', '34.88', '   Test root: ', '32.58', '   Train: ', '86.17', '   Train root: ', '42.99', '   time: ', 10035.412384033203)
+('epoch: ', 13, 'V all: ', '82.96', '   Test all: ', '82.73', 'V root: ', '35.15', '   Test root: ', '33.62', '   Train: ', '86.35', '   Train root: ', '48.60', '   time: ', 10816.015982151031)
+('epoch: ', 14, 'V all: ', '83.06', '   Test all: ', '82.79', 'V root: ', '35.79', '   Test root: ', '33.57', '   Train: ', '86.43', '   Train root: ', '47.66', '   time: ', 11594.819396018982)
+('epoch: ', 15, 'V all: ', '83.14', '   Test all: ', '82.86', 'V root: ', '35.88', '   Test root: ', '33.12', '   Train: ', '86.59', '   Train root: ', '42.52', '   time: ', 12373.026133060455)
+('epoch: ', 16, 'V all: ', '83.17', '   Test all: ', '82.86', 'V root: ', '36.06', '   Test root: ', '32.85', '   Train: ', '87.24', '   Train root: ', '49.77', '   time: ', 13152.147242069244)
+('epoch: ', 17, 'V all: ', '83.26', '   Test all: ', '82.88', 'V root: ', '36.15', '   Test root: ', '33.57', '   Train: ', '87.00', '   Train root: ', '44.39', '   time: ', 13931.680478096008)
+('epoch: ', 18, 'V all: ', '83.22', '   Test all: ', '82.92', 'V root: ', '36.88', '   Test root: ', '34.16', '   Train: ', '87.82', '   Train root: ', '46.73', '   time: ', 14711.03513121605)
+('epoch: ', 19, 'V all: ', '83.29', '   Test all: ', '83.00', 'V root: ', '35.88', '   Test root: ', '34.21', '   Train: ', '87.68', '   Train root: ', '47.90', '   time: ', 15495.974698066711)
+('epoch: ', 20, 'V all: ', '83.39', '   Test all: ', '83.16', 'V root: ', '36.42', '   Test root: ', '33.76', '   Train: ', '88.36', '   Train root: ', '50.23', '   time: ', 16277.492660999298)
+('epoch: ', 21, 'V all: ', '83.48', '   Test all: ', '83.18', 'V root: ', '36.33', '   Test root: ', '34.57', '   Train: ', '88.52', '   Train root: ', '50.70', '   time: ', 17056.82355117798)
+('epoch: ', 22, 'V all: ', '83.49', '   Test all: ', '83.19', 'V root: ', '37.33', '   Test root: ', '34.34', '   Train: ', '88.90', '   Train root: ', '51.17', '   time: ', 17835.360638141632)
+('epoch: ', 23, 'V all: ', '83.49', '   Test all: ', '83.29', 'V root: ', '36.24', '   Test root: ', '34.43', '   Train: ', '87.96', '   Train root: ', '51.64', '   time: ', 18613.103765010834)
+('epoch: ', 24, 'V all: ', '83.46', '   Test all: ', '83.25', 'V root: ', '36.33', '   Test root: ', '34.48', '   Train: ', '88.12', '   Train root: ', '53.27', '   time: ', 19390.57062602043)
+('epoch: ', 25, 'V all: ', '83.56', '   Test all: ', '83.33', 'V root: ', '35.97', '   Test root: ', '34.66', '   Train: ', '88.48', '   Train root: ', '51.87', '   time: ', 20168.003073215485)
+('epoch: ', 26, 'V all: ', '83.49', '   Test all: ', '83.34', 'V root: ', '36.51', '   Test root: ', '35.29', '   Train: ', '89.01', '   Train root: ', '59.35', '   time: ', 20947.795780181885)
+('epoch: ', 27, 'V all: ', '83.61', '   Test all: ', '83.45', 'V root: ', '37.15', '   Test root: ', '34.66', '   Train: ', '88.45', '   Train root: ', '46.50', '   time: ', 21724.572371006012)
+('epoch: ', 28, 'V all: ', '83.54', '   Test all: ', '83.37', 'V root: ', '37.15', '   Test root: ', '35.61', '   Train: ', '88.86', '   Train root: ', '52.34', '   time: ', 22505.026094198227)
+('epoch: ', 29, 'V all: ', '83.67', '   Test all: ', '83.50', 'V root: ', '37.24', '   Test root: ', '34.71', '   Train: ', '88.93', '   Train root: ', '52.34', '   time: ', 23286.07378602028)
+('epoch: ', 30, 'V all: ', '83.69', '   Test all: ', '83.48', 'V root: ', '36.97', '   Test root: ', '35.34', '   Train: ', '88.64', '   Train root: ', '50.70', '   time: ', 24059.01998615265)
+('epoch: ', 31, 'V all: ', '83.71', '   Test all: ', '83.54', 'V root: ', '37.78', '   Test root: ', '34.98', '   Train: ', '89.42', '   Train root: ', '56.54', '   time: ', 24839.244970083237)
+('epoch: ', 32, 'V all: ', '83.66', '   Test all: ', '83.57', 'V root: ', '37.87', '   Test root: ', '35.34', '   Train: ', '88.88', '   Train root: ', '50.23', '   time: ', 25618.0263171196)
+('epoch: ', 33, 'V all: ', '83.77', '   Test all: ', '83.66', 'V root: ', '37.97', '   Test root: ', '35.48', '   Train: ', '89.26', '   Train root: ', '55.84', '   time: ', 26396.553738117218)
+('epoch: ', 34, 'V all: ', '83.84', '   Test all: ', '83.71', 'V root: ', '37.97', '   Test root: ', '35.52', '   Train: ', '89.47', '   Train root: ', '59.58', '   time: ', 27178.220983028412)
+('epoch: ', 35, 'V all: ', '83.86', '   Test all: ', '83.74', 'V root: ', '37.15', '   Test root: ', '36.06', '   Train: ', '89.30', '   Train root: ', '51.64', '   time: ', 27956.26128911972)
+('epoch: ', 36, 'V all: ', '83.91', '   Test all: ', '83.71', 'V root: ', '38.06', '   Test root: ', '35.38', '   Train: ', '89.14', '   Train root: ', '52.57', '   time: ', 28729.59597015381)
+('epoch: ', 37, 'V all: ', '83.93', '   Test all: ', '83.70', 'V root: ', '38.06', '   Test root: ', '35.52', '   Train: ', '89.84', '   Train root: ', '55.61', '   time: ', 29508.580057144165)
+('epoch: ', 38, 'V all: ', '83.91', '   Test all: ', '83.71', 'V root: ', '37.78', '   Test root: ', '35.25', '   Train: ', '89.81', '   Train root: ', '57.48', '   time: ', 30283.377482175827)
+('epoch: ', 39, 'V all: ', '83.98', '   Test all: ', '83.79', 'V root: ', '37.87', '   Test root: ', '35.57', '   Train: ', '90.13', '   Train root: ', '56.07', '   time: ', 31060.593586206436)
+('epoch: ', 40, 'V all: ', '84.08', '   Test all: ', '83.92', 'V root: ', '37.97', '   Test root: ', '36.20', '   Train: ', '90.05', '   Train root: ', '55.14', '   time: ', 31838.64359807968)
+('epoch: ', 41, 'V all: ', '84.12', '   Test all: ', '83.88', 'V root: ', '37.87', '   Test root: ', '35.97', '   Train: ', '90.23', '   Train root: ', '61.45', '   time: ', 32617.95813512802)
+('epoch: ', 42, 'V all: ', '84.14', '   Test all: ', '83.91', 'V root: ', '38.15', '   Test root: ', '35.38', '   Train: ', '89.84', '   Train root: ', '52.80', '   time: ', 33396.26203799248)
+('epoch: ', 43, 'V all: ', '84.12', '   Test all: ', '83.86', 'V root: ', '38.06', '   Test root: ', '35.97', '   Train: ', '89.99', '   Train root: ', '57.01', '   time: ', 34173.45622706413)
+('epoch: ', 44, 'V all: ', '84.13', '   Test all: ', '83.91', 'V root: ', '37.87', '   Test root: ', '35.75', '   Train: ', '90.52', '   Train root: ', '58.88', '   time: ', 34946.274423122406)
+('epoch: ', 45, 'V all: ', '84.09', '   Test all: ', '83.94', 'V root: ', '37.97', '   Test root: ', '36.24', '   Train: ', '90.59', '   Train root: ', '61.45', '   time: ', 35718.28565621376)
+('epoch: ', 46, 'V all: ', '84.08', '   Test all: ', '84.02', 'V root: ', '37.60', '   Test root: ', '36.29', '   Train: ', '90.82', '   Train root: ', '60.05', '   time: ', 36491.284432172775)
+('epoch: ', 47, 'V all: ', '84.22', '   Test all: ', '84.02', 'V root: ', '37.87', '   Test root: ', '36.11', '   Train: ', '90.18', '   Train root: ', '57.48', '   time: ', 37266.6186439991)
+('epoch: ', 48, 'V all: ', '84.30', '   Test all: ', '84.06', 'V root: ', '38.06', '   Test root: ', '36.24', '   Train: ', '90.21', '   Train root: ', '53.27', '   time: ', 38040.3811340332)
+('epoch: ', 49, 'V all: ', '84.19', '   Test all: ', '84.08', 'V root: ', '37.69', '   Test root: ', '36.43', '   Train: ', '91.21', '   Train root: ', '59.58', '   time: ', 38813.953343153)
+('epoch: ', 50, 'V all: ', '84.21', '   Test all: ', '84.02', 'V root: ', '37.69', '   Test root: ', '36.52', '   Train: ', '90.84', '   Train root: ', '60.98', '   time: ', 39588.50159621239)
+('epoch: ', 51, 'V all: ', '84.24', '   Test all: ', '84.16', 'V root: ', '37.78', '   Test root: ', '36.29', '   Train: ', '90.54', '   Train root: ', '53.97', '   time: ', 40365.4481010437)
+('epoch: ', 52, 'V all: ', '84.21', '   Test all: ', '84.07', 'V root: ', '37.78', '   Test root: ', '36.70', '   Train: ', '90.68', '   Train root: ', '56.07', '   time: ', 41138.85856819153)
+('Best valid: ', '38.15', ' Test all: ', '83.91', 'Test root: ', '35.38', '   time: ', 41138.8586101532)
+
+
+
+learning rate:  0.004  decay =  0.8
+model LSTM_6 :  h_dim =  100
+
+('epoch: ', 0, 'V all: ', '81.91', '   Test all: ', '81.66', 'V root: ', '40.69', '   Test root: ', '40.63', '   Train: ', '81.74', '   Train root: ', '40.19', '   time: ', 722.6427059173584)
+('epoch: ', 1, 'V all: ', '82.53', '   Test all: ', '82.41', 'V root: ', '40.15', '   Test root: ', '40.72', '   Train: ', '83.02', '   Train root: ', '45.09', '   time: ', 1533.4769530296326)
+('epoch: ', 2, 'V all: ', '83.44', '   Test all: ', '83.46', 'V root: ', '44.60', '   Test root: ', '42.44', '   Train: ', '83.68', '   Train root: ', '42.76', '   time: ', 2398.7996819019318)
+('epoch: ', 3, 'V all: ', '83.80', '   Test all: ', '83.84', 'V root: ', '43.78', '   Test root: ', '42.08', '   Train: ', '85.44', '   Train root: ', '45.09', '   time: ', 3146.759481906891)
+('epoch: ', 4, 'V all: ', '83.77', '   Test all: ', '83.71', 'V root: ', '44.32', '   Test root: ', '44.16', '   Train: ', '84.74', '   Train root: ', '46.26', '   time: ', 3783.3418469429016)
+('epoch: ', 5, 'V all: ', '83.93', '   Test all: ', '84.26', 'V root: ', '42.96', '   Test root: ', '44.66', '   Train: ', '86.42', '   Train root: ', '49.07', '   time: ', 4438.998985052109)
+('epoch: ', 6, 'V all: ', '84.52', '   Test all: ', '84.51', 'V root: ', '41.51', '   Test root: ', '42.22', '   Train: ', '85.75', '   Train root: ', '52.10', '   time: ', 5082.830215930939)
+('epoch: ', 7, 'V all: ', '84.75', '   Test all: ', '84.79', 'V root: ', '43.87', '   Test root: ', '43.76', '   Train: ', '86.46', '   Train root: ', '48.36', '   time: ', 5718.10587310791)
+('epoch: ', 8, 'V all: ', '84.40', '   Test all: ', '84.50', 'V root: ', '42.69', '   Test root: ', '43.08', '   Train: ', '86.40', '   Train root: ', '51.40', '   time: ', 6378.259696960449)
+('epoch: ', 9, 'V all: ', '84.86', '   Test all: ', '84.91', 'V root: ', '39.69', '   Test root: ', '40.90', '   Train: ', '86.80', '   Train root: ', '45.33', '   time: ', 7043.051003932953)
+('epoch: ', 10, 'V all: ', '84.93', '   Test all: ', '84.81', 'V root: ', '40.60', '   Test root: ', '39.10', '   Train: ', '86.75', '   Train root: ', '43.69', '   time: ', 7699.5764310359955)
+('epoch: ', 11, 'V all: ', '84.76', '   Test all: ', '84.97', 'V root: ', '40.96', '   Test root: ', '42.22', '   Train: ', '87.29', '   Train root: ', '51.17', '   time: ', 8376.19360089302)
+('epoch: ', 12, 'V all: ', '84.81', '   Test all: ', '84.93', 'V root: ', '41.87', '   Test root: ', '43.30', '   Train: ', '88.11', '   Train root: ', '53.74', '   time: ', 9010.60800409317)
+('Best valid: ', '44.60', ' Test all: ', '83.46', 'Test root: ', '42.44', '   time: ', 9010.608059883118)
+
+
+learning rate:  0.002, batch: 25
+model LSTM_6 :  h_dim =  100
+
+('epoch: ', 0, 'V all: ', '80.24', '   Test all: ', '80.29', 'V root: ', '32.43', '   Test root: ', '31.49', '   Train: ', '73.94', '   Train root: ', '16.67', '   time: ', 277.5536229610443)
+('epoch: ', 1, 'V all: ', '80.36', '   Test all: ', '80.34', 'V root: ', '23.80', '   Test root: ', '23.12', '   Train: ', '76.57', '   Train root: ', '27.78', '   time: ', 552.0297157764435)
+('epoch: ', 2, 'V all: ', '82.53', '   Test all: ', '82.40', 'V root: ', '38.51', '   Test root: ', '38.33', '   Train: ', '72.63', '   Train root: ', '16.67', '   time: ', 826.7067368030548)
+('epoch: ', 3, 'V all: ', '82.99', '   Test all: ', '82.61', 'V root: ', '39.87', '   Test root: ', '35.70', '   Train: ', '71.57', '   Train root: ', '27.78', '   time: ', 1096.6544818878174)
+('epoch: ', 4, 'V all: ', '83.30', '   Test all: ', '83.13', 'V root: ', '41.24', '   Test root: ', '38.96', '   Train: ', '71.55', '   Train root: ', '50.00', '   time: ', 1363.3036890029907)
+('epoch: ', 5, 'V all: ', '82.02', '   Test all: ', '81.63', 'V root: ', '41.78', '   Test root: ', '40.59', '   Train: ', '64.65', '   Train root: ', '27.78', '   time: ', 1629.9686529636383)
+('epoch: ', 6, 'V all: ', '83.54', '   Test all: ', '83.33', 'V root: ', '39.87', '   Test root: ', '39.10', '   Train: ', '69.96', '   Train root: ', '16.67', '   time: ', 1889.8191277980804)
+('epoch: ', 7, 'V all: ', '83.56', '   Test all: ', '83.66', 'V root: ', '41.24', '   Test root: ', '43.35', '   Train: ', '67.83', '   Train root: ', '33.33', '   time: ', 2140.665650844574)
+('epoch: ', 8, 'V all: ', '83.91', '   Test all: ', '83.65', 'V root: ', '42.60', '   Test root: ', '40.72', '   Train: ', '70.38', '   Train root: ', '33.33', '   time: ', 2391.5123829841614)
+('epoch: ', 9, 'V all: ', '83.64', '   Test all: ', '83.27', 'V root: ', '41.69', '   Test root: ', '38.51', '   Train: ', '70.28', '   Train root: ', '22.22', '   time: ', 2649.1649458408356)
+('epoch: ', 10, 'V all: ', '83.88', '   Test all: ', '83.85', 'V root: ', '35.24', '   Test root: ', '33.89', '   Train: ', '73.20', '   Train root: ', '27.78', '   time: ', 2911.521863937378)
+('epoch: ', 11, 'V all: ', '84.21', '   Test all: ', '84.30', 'V root: ', '41.14', '   Test root: ', '40.23', '   Train: ', '69.94', '   Train root: ', '22.22', '   time: ', 3171.6111488342285)
+('epoch: ', 12, 'V all: ', '83.86', '   Test all: ', '83.73', 'V root: ', '42.60', '   Test root: ', '40.45', '   Train: ', '68.30', '   Train root: ', '0.00', '   time: ', 3437.3548328876495)
+('epoch: ', 13, 'V all: ', '84.19', '   Test all: ', '84.15', 'V root: ', '43.51', '   Test root: ', '42.85', '   Train: ', '67.05', '   Train root: ', '11.11', '   time: ', 3706.078264951706)
+('epoch: ', 14, 'V all: ', '84.51', '   Test all: ', '84.31', 'V root: ', '40.05', '   Test root: ', '37.29', '   Train: ', '72.42', '   Train root: ', '16.67', '   time: ', 3973.974702835083)
+('epoch: ', 15, 'V all: ', '84.68', '   Test all: ', '84.57', 'V root: ', '42.33', '   Test root: ', '40.81', '   Train: ', '71.91', '   Train root: ', '11.11', '   time: ', 4239.252955913544)
+('epoch: ', 16, 'V all: ', '84.47', '   Test all: ', '84.37', 'V root: ', '42.05', '   Test root: ', '42.62', '   Train: ', '71.62', '   Train root: ', '16.67', '   time: ', 4504.692109823227)
+('epoch: ', 17, 'V all: ', '84.26', '   Test all: ', '84.42', 'V root: ', '39.69', '   Test root: ', '41.76', '   Train: ', '68.07', '   Train root: ', '22.22', '   time: ', 4769.946505784988)
+('epoch: ', 18, 'V all: ', '84.74', '   Test all: ', '84.71', 'V root: ', '41.96', '   Test root: ', '40.14', '   Train: ', '69.03', '   Train root: ', '11.11', '   time: ', 5035.240520954132)
+('Best valid: ', '43.51', ' Test all: ', '84.15', 'Test root: ', '42.85', '   time: ', 5035.240575790405)
+
+learning rate:  0.002, batch: 25
+model LSTM_3 :  h_dim =  100
+
+('epoch: ', 0, 'V all: ', '80.82', '   Test all: ', '80.83', 'V root: ', '33.61', '   Test root: ', '32.44', '   Train: ', '72.93', '   Train root: ', '16.67', '   time: ', 666.0556149482727)
+('epoch: ', 1, 'V all: ', '81.24', '   Test all: ', '81.10', 'V root: ', '27.43', '   Test root: ', '26.29', '   Train: ', '75.93', '   Train root: ', '27.78', '   time: ', 1331.574373960495)
+('epoch: ', 2, 'V all: ', '83.11', '   Test all: ', '82.97', 'V root: ', '39.42', '   Test root: ', '38.24', '   Train: ', '72.55', '   Train root: ', '16.67', '   time: ', 1995.3788740634918)
+('epoch: ', 3, 'V all: ', '83.70', '   Test all: ', '83.40', 'V root: ', '40.42', '   Test root: ', '37.78', '   Train: ', '70.59', '   Train root: ', '33.33', '   time: ', 2686.0971570014954)
+('epoch: ', 4, 'V all: ', '84.01', '   Test all: ', '83.97', 'V root: ', '41.96', '   Test root: ', '40.41', '   Train: ', '71.45', '   Train root: ', '50.00', '   time: ', 3421.8722949028015)
+('epoch: ', 5, 'V all: ', '83.39', '   Test all: ', '82.98', 'V root: ', '42.51', '   Test root: ', '42.22', '   Train: ', '64.66', '   Train root: ', '16.67', '   time: ', 4159.2687158584595)
+('epoch: ', 6, 'V all: ', '84.77', '   Test all: ', '84.41', 'V root: ', '41.33', '   Test root: ', '40.36', '   Train: ', '70.69', '   Train root: ', '16.67', '   time: ', 4893.7535898685455)
+('epoch: ', 7, 'V all: ', '84.46', '   Test all: ', '84.44', 'V root: ', '42.87', '   Test root: ', '44.84', '   Train: ', '66.99', '   Train root: ', '33.33', '   time: ', 5628.199420928955)
+('epoch: ', 8, 'V all: ', '85.18', '   Test all: ', '84.89', 'V root: ', '42.96', '   Test root: ', '41.45', '   Train: ', '69.58', '   Train root: ', '33.33', '   time: ', 6362.643303871155)
+('epoch: ', 9, 'V all: ', '84.33', '   Test all: ', '83.87', 'V root: ', '41.42', '   Test root: ', '40.14', '   Train: ', '69.88', '   Train root: ', '16.67', '   time: ', 7101.070780038834)
+('epoch: ', 10, 'V all: ', '84.81', '   Test all: ', '84.82', 'V root: ', '36.42', '   Test root: ', '35.75', '   Train: ', '72.75', '   Train root: ', '27.78', '   time: ', 7790.755244016647)
+('epoch: ', 11, 'V all: ', '85.26', '   Test all: ', '85.27', 'V root: ', '42.51', '   Test root: ', '41.09', '   Train: ', '68.96', '   Train root: ', '22.22', '   time: ', 8453.930166006088)
+('epoch: ', 12, 'V all: ', '85.19', '   Test all: ', '85.08', 'V root: ', '44.32', '   Test root: ', '43.62', '   Train: ', '69.07', '   Train root: ', '0.00', '   time: ', 9117.484354019165)
+('epoch: ', 13, 'V all: ', '84.91', '   Test all: ', '84.83', 'V root: ', '44.69', '   Test root: ', '43.94', '   Train: ', '65.13', '   Train root: ', '16.67', '   time: ', 9781.068414926529)
+('epoch: ', 14, 'V all: ', '85.53', '   Test all: ', '85.43', 'V root: ', '41.87', '   Test root: ', '40.23', '   Train: ', '70.23', '   Train root: ', '22.22', '   time: ', 10444.552780866623)
+('epoch: ', 15, 'V all: ', '85.69', '   Test all: ', '85.61', 'V root: ', '42.87', '   Test root: ', '43.12', '   Train: ', '72.09', '   Train root: ', '11.11', '   time: ', 11107.703701019287)
+('epoch: ', 16, 'V all: ', '85.35', '   Test all: ', '85.34', 'V root: ', '44.87', '   Test root: ', '43.62', '   Train: ', '71.06', '   Train root: ', '16.67', '   time: ', 11770.949338912964)
+('epoch: ', 17, 'V all: ', '85.47', '   Test all: ', '85.62', 'V root: ', '42.33', '   Test root: ', '43.21', '   Train: ', '67.53', '   Train root: ', '16.67', '   time: ', 12434.332421064377)
+('epoch: ', 18, 'V all: ', '85.55', '   Test all: ', '85.69', 'V root: ', '42.42', '   Test root: ', '42.49', '   Train: ', '67.93', '   Train root: ', '16.67', '   time: ', 13097.58379983902)
+('epoch: ', 19, 'V all: ', '85.62', '   Test all: ', '85.71', 'V root: ', '43.96', '   Test root: ', '43.03', '   Train: ', '68.51', '   Train root: ', '22.22', '   time: ', 13760.57525897026)
+('epoch: ', 20, 'V all: ', '85.56', '   Test all: ', '85.67', 'V root: ', '42.51', '   Test root: ', '43.71', '   Train: ', '67.68', '   Train root: ', '22.22', '   time: ', 14423.31759595871)
+('epoch: ', 21, 'V all: ', '85.25', '   Test all: ', '85.44', 'V root: ', '39.15', '   Test root: ', '38.69', '   Train: ', '72.47', '   Train root: ', '11.11', '   time: ', 15086.122535943985)
+('Best valid: ', '44.87', ' Test all: ', '85.34', 'Test root: ', '43.62', '   time: ', 15086.122573852539)
+
+learning rate:  0.002  batch =  25
+model LSTM_3 :  h_dim =  120
+
+('epoch: ', 0, 'V all: ', '81.06', '   Test all: ', '81.09', 'V root: ', '31.34', '   Test root: ', '30.41', '   Train: ', '72.04', '   Train root: ', '16.67', '   time: ', 667.0888278484344)
+('epoch: ', 1, 'V all: ', '81.72', '   Test all: ', '81.53', 'V root: ', '29.97', '   Test root: ', '28.55', '   Train: ', '75.30', '   Train root: ', '27.78', '   time: ', 1326.2189478874207)
+('epoch: ', 2, 'V all: ', '83.13', '   Test all: ', '83.08', 'V root: ', '39.69', '   Test root: ', '38.05', '   Train: ', '72.73', '   Train root: ', '16.67', '   time: ', 1994.5495519638062)
+('epoch: ', 3, 'V all: ', '83.66', '   Test all: ', '83.58', 'V root: ', '40.24', '   Test root: ', '38.10', '   Train: ', '70.42', '   Train root: ', '27.78', '   time: ', 2673.287129878998)
+('epoch: ', 4, 'V all: ', '83.95', '   Test all: ', '84.06', 'V root: ', '41.96', '   Test root: ', '40.41', '   Train: ', '71.86', '   Train root: ', '38.89', '   time: ', 3347.688811779022)
+('epoch: ', 5, 'V all: ', '83.67', '   Test all: ', '83.46', 'V root: ', '42.05', '   Test root: ', '42.71', '   Train: ', '65.66', '   Train root: ', '16.67', '   time: ', 4022.5843279361725)
+('epoch: ', 6, 'V all: ', '84.66', '   Test all: ', '84.53', 'V root: ', '41.87', '   Test root: ', '41.18', '   Train: ', '70.91', '   Train root: ', '16.67', '   time: ', 4709.104452848434)
+('epoch: ', 7, 'V all: ', '84.50', '   Test all: ', '84.50', 'V root: ', '42.05', '   Test root: ', '42.76', '   Train: ', '67.05', '   Train root: ', '33.33', '   time: ', 5394.040667772293)
+('epoch: ', 8, 'V all: ', '84.93', '   Test all: ', '84.94', 'V root: ', '42.14', '   Test root: ', '41.99', '   Train: ', '70.53', '   Train root: ', '33.33', '   time: ', 6085.310372829437)
+('epoch: ', 9, 'V all: ', '84.45', '   Test all: ', '84.32', 'V root: ', '41.87', '   Test root: ', '41.45', '   Train: ', '69.90', '   Train root: ', '22.22', '   time: ', 6777.605479955673)
+('epoch: ', 10, 'V all: ', '84.94', '   Test all: ', '85.02', 'V root: ', '39.60', '   Test root: ', '38.10', '   Train: ', '72.44', '   Train root: ', '27.78', '   time: ', 7477.646439790726)
+('epoch: ', 11, 'V all: ', '85.21', '   Test all: ', '85.34', 'V root: ', '42.51', '   Test root: ', '42.81', '   Train: ', '69.55', '   Train root: ', '27.78', '   time: ', 8175.809750795364)
+('epoch: ', 12, 'V all: ', '85.26', '   Test all: ', '85.34', 'V root: ', '42.78', '   Test root: ', '43.39', '   Train: ', '69.62', '   Train root: ', '5.56', '   time: ', 8860.379686832428)
+('epoch: ', 13, 'V all: ', '85.03', '   Test all: ', '85.04', 'V root: ', '42.05', '   Test root: ', '44.62', '   Train: ', '65.02', '   Train root: ', '16.67', '   time: ', 9544.01906490326)
+('epoch: ', 14, 'V all: ', '85.52', '   Test all: ', '85.57', 'V root: ', '41.69', '   Test root: ', '40.90', '   Train: ', '70.10', '   Train root: ', '16.67', '   time: ', 10225.892434835434)
+('epoch: ', 15, 'V all: ', '85.48', '   Test all: ', '85.73', 'V root: ', '42.87', '   Test root: ', '42.85', '   Train: ', '71.75', '   Train root: ', '11.11', '   time: ', 10914.83049082756)
+('epoch: ', 16, 'V all: ', '85.44', '   Test all: ', '85.52', 'V root: ', '42.69', '   Test root: ', '43.57', '   Train: ', '70.70', '   Train root: ', '16.67', '   time: ', 11592.791839838028)
+('epoch: ', 17, 'V all: ', '85.36', '   Test all: ', '85.71', 'V root: ', '41.14', '   Test root: ', '44.25', '   Train: ', '67.98', '   Train root: ', '16.67', '   time: ', 12274.707325935364)
+('epoch: ', 18, 'V all: ', '85.45', '   Test all: ', '85.77', 'V root: ', '41.78', '   Test root: ', '43.26', '   Train: ', '67.98', '   Train root: ', '16.67', '   time: ', 12960.564258813858)
+('epoch: ', 19, 'V all: ', '85.49', '   Test all: ', '85.80', 'V root: ', '41.69', '   Test root: ', '44.03', '   Train: ', '67.72', '   Train root: ', '22.22', '   time: ', 13636.185304880142)
+('epoch: ', 20, 'V all: ', '85.44', '   Test all: ', '85.75', 'V root: ', '42.14', '   Test root: ', '43.89', '   Train: ', '67.74', '   Train root: ', '16.67', '   time: ', 14304.726275920868)
+('Best valid: ', '42.87', ' Test all: ', '85.73', 'Test root: ', '42.85', '   time: ', 14304.726334810257)
+
+
+learning rate:  0.002  batch =  25
+model LSTM_1 :  h_dim =  120
+
+('epoch: ', 0, 'V all: ', '80.95', '   Test all: ', '81.04', 'V root: ', '31.97', '   Test root: ', '31.58', '   Train: ', '71.90', '   Train root: ', '16.67', '   time: ', 694.3374578952789)
+('epoch: ', 1, 'V all: ', '81.51', '   Test all: ', '81.34', 'V root: ', '27.07', '   Test root: ', '26.20', '   Train: ', '75.74', '   Train root: ', '27.78', '   time: ', 1321.1615619659424)
+('epoch: ', 2, 'V all: ', '83.21', '   Test all: ', '83.06', 'V root: ', '39.60', '   Test root: ', '38.10', '   Train: ', '72.39', '   Train root: ', '16.67', '   time: ', 1942.6870408058167)
+('epoch: ', 3, 'V all: ', '83.62', '   Test all: ', '83.58', 'V root: ', '40.69', '   Test root: ', '38.78', '   Train: ', '70.43', '   Train root: ', '27.78', '   time: ', 2562.293771982193)
+('epoch: ', 4, 'V all: ', '84.10', '   Test all: ', '84.07', 'V root: ', '41.60', '   Test root: ', '40.95', '   Train: ', '71.78', '   Train root: ', '44.44', '   time: ', 3180.376075029373)
+('epoch: ', 5, 'V all: ', '83.61', '   Test all: ', '83.41', 'V root: ', '42.05', '   Test root: ', '42.13', '   Train: ', '65.11', '   Train root: ', '16.67', '   time: ', 3796.0722999572754)
+('epoch: ', 6, 'V all: ', '84.77', '   Test all: ', '84.58', 'V root: ', '41.60', '   Test root: ', '41.13', '   Train: ', '70.78', '   Train root: ', '16.67', '   time: ', 4411.6748678684235)
+('epoch: ', 7, 'V all: ', '84.66', '   Test all: ', '84.75', 'V root: ', '42.60', '   Test root: ', '44.52', '   Train: ', '66.84', '   Train root: ', '33.33', '   time: ', 5027.356901884079)
+('epoch: ', 8, 'V all: ', '85.09', '   Test all: ', '85.01', 'V root: ', '41.87', '   Test root: ', '41.49', '   Train: ', '70.25', '   Train root: ', '33.33', '   time: ', 5643.759536027908)
+('epoch: ', 9, 'V all: ', '84.53', '   Test all: ', '84.26', 'V root: ', '41.51', '   Test root: ', '40.72', '   Train: ', '69.72', '   Train root: ', '16.67', '   time: ', 6259.390009880066)
+('epoch: ', 10, 'V all: ', '84.93', '   Test all: ', '84.80', 'V root: ', '36.42', '   Test root: ', '36.29', '   Train: ', '72.73', '   Train root: ', '33.33', '   time: ', 6875.362058877945)
+('epoch: ', 11, 'V all: ', '85.52', '   Test all: ', '85.48', 'V root: ', '43.60', '   Test root: ', '42.13', '   Train: ', '69.06', '   Train root: ', '27.78', '   time: ', 7491.0700669288635)
+('epoch: ', 12, 'V all: ', '85.36', '   Test all: ', '85.32', 'V root: ', '42.87', '   Test root: ', '42.62', '   Train: ', '69.25', '   Train root: ', '16.67', '   time: ', 8106.991958856583)
+('epoch: ', 13, 'V all: ', '84.90', '   Test all: ', '85.00', 'V root: ', '42.78', '   Test root: ', '43.85', '   Train: ', '64.51', '   Train root: ', '11.11', '   time: ', 8732.550383806229)
+('epoch: ', 14, 'V all: ', '85.54', '   Test all: ', '85.55', 'V root: ', '40.69', '   Test root: ', '40.14', '   Train: ', '70.85', '   Train root: ', '22.22', '   time: ', 9387.615048885345)
+('epoch: ', 15, 'V all: ', '85.64', '   Test all: ', '85.74', 'V root: ', '43.78', '   Test root: ', '43.12', '   Train: ', '70.94', '   Train root: ', '11.11', '   time: ', 10042.62230181694)
+('epoch: ', 16, 'V all: ', '85.56', '   Test all: ', '85.52', 'V root: ', '43.78', '   Test root: ', '43.85', '   Train: ', '70.27', '   Train root: ', '16.67', '   time: ', 10676.739236831665)
+('epoch: ', 17, 'V all: ', '85.47', '   Test all: ', '85.77', 'V root: ', '41.60', '   Test root: ', '44.43', '   Train: ', '67.91', '   Train root: ', '16.67', '   time: ', 11304.591491937637)
+('epoch: ', 18, 'V all: ', '85.58', '   Test all: ', '85.84', 'V root: ', '42.42', '   Test root: ', '43.71', '   Train: ', '67.90', '   Train root: ', '16.67', '   time: ', 11934.152577877045)
+('epoch: ', 19, 'V all: ', '85.71', '   Test all: ', '85.78', 'V root: ', '43.51', '   Test root: ', '45.20', '   Train: ', '67.66', '   Train root: ', '22.22', '   time: ', 12555.734504938126)
+('epoch: ', 20, 'V all: ', '85.75', '   Test all: ', '85.82', 'V root: ', '42.87', '   Test root: ', '43.35', '   Train: ', '68.08', '   Train root: ', '27.78', '   time: ', 13169.128117799759)
+('Best valid: ', '43.78', ' Test all: ', '85.74', 'Test root: ', '43.12', '   time: ', 13169.12817287445)
+
+
+learning rate:  0.002  batch =  25
+model LSTM_4 :  h_dim =  120
+
+('epoch: ', 0, 'V all: ', '81.06', '   Test all: ', '81.10', 'V root: ', '31.52', '   Test root: ', '30.54', '   Train: ', '72.04', '   Train root: ', '16.67', '   time: ', 695.649188041687)
+('epoch: ', 1, 'V all: ', '81.72', '   Test all: ', '81.55', 'V root: ', '30.15', '   Test root: ', '28.78', '   Train: ', '75.30', '   Train root: ', '27.78', '   time: ', 1391.2039918899536)
+('epoch: ', 2, 'V all: ', '83.15', '   Test all: ', '83.07', 'V root: ', '39.96', '   Test root: ', '38.05', '   Train: ', '72.87', '   Train root: ', '16.67', '   time: ', 2101.515147924423)
+('epoch: ', 3, 'V all: ', '83.67', '   Test all: ', '83.58', 'V root: ', '40.60', '   Test root: ', '38.19', '   Train: ', '70.42', '   Train root: ', '27.78', '   time: ', 2814.112021923065)
+('epoch: ', 4, 'V all: ', '83.95', '   Test all: ', '84.06', 'V root: ', '41.60', '   Test root: ', '40.63', '   Train: ', '71.86', '   Train root: ', '38.89', '   time: ', 3527.3751780986786)
+('epoch: ', 5, 'V all: ', '83.63', '   Test all: ', '83.44', 'V root: ', '42.05', '   Test root: ', '42.40', '   Train: ', '65.66', '   Train root: ', '16.67', '   time: ', 4244.170526027679)
+('epoch: ', 6, 'V all: ', '84.68', '   Test all: ', '84.55', 'V root: ', '42.05', '   Test root: ', '41.36', '   Train: ', '70.91', '   Train root: ', '16.67', '   time: ', 4944.608381032944)
+('epoch: ', 7, 'V all: ', '84.48', '   Test all: ', '84.52', 'V root: ', '42.14', '   Test root: ', '42.81', '   Train: ', '67.05', '   Train root: ', '33.33', '   time: ', 5647.119127035141)
+('epoch: ', 8, 'V all: ', '84.92', '   Test all: ', '84.93', 'V root: ', '42.33', '   Test root: ', '41.90', '   Train: ', '70.53', '   Train root: ', '33.33', '   time: ', 6338.183757066727)
+('epoch: ', 9, 'V all: ', '84.46', '   Test all: ', '84.31', 'V root: ', '41.96', '   Test root: ', '41.63', '   Train: ', '69.90', '   Train root: ', '22.22', '   time: ', 7023.503887891769)
+('epoch: ', 10, 'V all: ', '84.91', '   Test all: ', '85.02', 'V root: ', '39.24', '   Test root: ', '37.92', '   Train: ', '72.44', '   Train root: ', '27.78', '   time: ', 7696.303107976913)
+('epoch: ', 11, 'V all: ', '85.24', '   Test all: ', '85.37', 'V root: ', '42.78', '   Test root: ', '42.90', '   Train: ', '69.71', '   Train root: ', '27.78', '   time: ', 8382.681829929352)
+('epoch: ', 12, 'V all: ', '85.27', '   Test all: ', '85.37', 'V root: ', '43.05', '   Test root: ', '43.48', '   Train: ', '69.62', '   Train root: ', '5.56', '   time: ', 9063.466721057892)
+('epoch: ', 13, 'V all: ', '85.02', '   Test all: ', '85.03', 'V root: ', '41.96', '   Test root: ', '44.52', '   Train: ', '64.99', '   Train root: ', '16.67', '   time: ', 9737.439927101135)
+('epoch: ', 14, 'V all: ', '85.57', '   Test all: ', '85.59', 'V root: ', '42.23', '   Test root: ', '41.18', '   Train: ', '70.10', '   Train root: ', '16.67', '   time: ', 10399.630424976349)
+('epoch: ', 15, 'V all: ', '85.49', '   Test all: ', '85.73', 'V root: ', '43.14', '   Test root: ', '42.85', '   Train: ', '71.75', '   Train root: ', '11.11', '   time: ', 11055.76821899414)
+('epoch: ', 16, 'V all: ', '85.43', '   Test all: ', '85.52', 'V root: ', '42.78', '   Test root: ', '43.76', '   Train: ', '70.69', '   Train root: ', '16.67', '   time: ', 11712.05516910553)
+('epoch: ', 17, 'V all: ', '85.33', '   Test all: ', '85.71', 'V root: ', '41.42', '   Test root: ', '44.39', '   Train: ', '67.98', '   Train root: ', '16.67', '   time: ', 12367.636395931244)
+('epoch: ', 18, 'V all: ', '85.47', '   Test all: ', '85.75', 'V root: ', '41.87', '   Test root: ', '43.30', '   Train: ', '68.02', '   Train root: ', '16.67', '   time: ', 13023.079916000366)
+('epoch: ', 19, 'V all: ', '85.49', '   Test all: ', '85.82', 'V root: ', '41.78', '   Test root: ', '44.16', '   Train: ', '67.73', '   Train root: ', '22.22', '   time: ', 13677.88350391388)
+('epoch: ', 20, 'V all: ', '85.46', '   Test all: ', '85.75', 'V root: ', '42.33', '   Test root: ', '43.80', '   Train: ', '67.77', '   Train root: ', '16.67', '   time: ', 14332.577132940292)
+('Best valid: ', '43.14', ' Test all: ', '85.73', 'Test root: ', '42.85', '   time: ', 14332.57718706131)
+
+
+
+learning rate:  0.004  batch =  25  decay =  0.8
+model LSTM_4 :  h_dim =  100
+
+('epoch: ', 0, 'V all: ', '81.56', '   Test all: ', '81.65', 'V root: ', '34.06', '   Test root: ', '34.39', '   Train: ', '70.75', '   Train root: ', '16.67', '   time: ', 721.1645610332489)
+('epoch: ', 1, 'V all: ', '82.09', '   Test all: ', '82.00', 'V root: ', '34.79', '   Test root: ', '32.62', '   Train: ', '74.93', '   Train root: ', '27.78', '   time: ', 1409.1085391044617)
+('epoch: ', 2, 'V all: ', '83.67', '   Test all: ', '83.63', 'V root: ', '41.24', '   Test root: ', '40.45', '   Train: ', '71.69', '   Train root: ', '16.67', '   time: ', 2132.516532897949)
+('epoch: ', 3, 'V all: ', '84.18', '   Test all: ', '84.07', 'V root: ', '42.14', '   Test root: ', '38.96', '   Train: ', '70.43', '   Train root: ', '27.78', '   time: ', 2809.713807106018)
+('epoch: ', 4, 'V all: ', '84.21', '   Test all: ', '84.32', 'V root: ', '41.42', '   Test root: ', '42.22', '   Train: ', '72.02', '   Train root: ', '44.44', '   time: ', 3474.4327120780945)
+('epoch: ', 5, 'V all: ', '84.52', '   Test all: ', '84.47', 'V root: ', '44.23', '   Test root: ', '44.16', '   Train: ', '68.47', '   Train root: ', '16.67', '   time: ', 4142.634292125702)
+('epoch: ', 6, 'V all: ', '84.81', '   Test all: ', '84.73', 'V root: ', '44.69', '   Test root: ', '44.21', '   Train: ', '70.57', '   Train root: ', '16.67', '   time: ', 4810.66464805603)
+('epoch: ', 7, 'V all: ', '84.83', '   Test all: ', '84.74', 'V root: ', '42.78', '   Test root: ', '44.03', '   Train: ', '69.14', '   Train root: ', '33.33', '   time: ', 5466.374843120575)
+('epoch: ', 8, 'V all: ', '84.90', '   Test all: ', '84.97', 'V root: ', '44.14', '   Test root: ', '44.62', '   Train: ', '69.73', '   Train root: ', '38.89', '   time: ', 6117.047895908356)
+('epoch: ', 9, 'V all: ', '85.04', '   Test all: ', '84.87', 'V root: ', '43.42', '   Test root: ', '42.08', '   Train: ', '71.91', '   Train root: ', '22.22', '   time: ', 6767.950590133667)
+('epoch: ', 10, 'V all: ', '85.02', '   Test all: ', '84.98', 'V root: ', '42.78', '   Test root: ', '42.31', '   Train: ', '70.65', '   Train root: ', '22.22', '   time: ', 7419.0055809021)
+('epoch: ', 11, 'V all: ', '85.08', '   Test all: ', '85.09', 'V root: ', '44.60', '   Test root: ', '44.03', '   Train: ', '68.91', '   Train root: ', '27.78', '   time: ', 8069.792712926865)
+('Best valid: ', '44.69', ' Test all: ', '84.73', 'Test root: ', '44.21', '   time: ', 8069.792766094208)
+
+learning rate:  0.000274877906944  batch =  25  decay =  0.8
+model LSTM_3 :  h_dim =  100
+
+('epoch: ', 0, 'V all: ', '78.42', '   Test all: ', '78.27', 'V root: ', '23.43', '   Test root: ', '20.32', '   Train: ', '79.25', '   Train root: ', '11.11', '   time: ', 643.4120030403137)
+('epoch: ', 1, 'V all: ', '78.48', '   Test all: ', '78.36', 'V root: ', '28.25', '   Test root: ', '27.06', '   Train: ', '78.40', '   Train root: ', '22.22', '   time: ', 1286.6158080101013)
+('epoch: ', 2, 'V all: ', '78.83', '   Test all: ', '78.74', 'V root: ', '29.25', '   Test root: ', '28.46', '   Train: ', '76.57', '   Train root: ', '16.67', '   time: ', 1929.793468952179)
+('epoch: ', 3, 'V all: ', '79.65', '   Test all: ', '79.35', 'V root: ', '33.42', '   Test root: ', '30.45', '   Train: ', '74.48', '   Train root: ', '27.78', '   time: ', 2572.7330918312073)
+('epoch: ', 4, 'V all: ', '79.75', '   Test all: ', '79.61', 'V root: ', '33.06', '   Test root: ', '29.86', '   Train: ', '73.60', '   Train root: ', '38.89', '   time: ', 3213.824360847473)
+('epoch: ', 5, 'V all: ', '79.80', '   Test all: ', '79.59', 'V root: ', '34.42', '   Test root: ', '33.17', '   Train: ', '73.38', '   Train root: ', '22.22', '   time: ', 3854.9356739521027)
+('epoch: ', 6, 'V all: ', '79.85', '   Test all: ', '79.75', 'V root: ', '33.88', '   Test root: ', '32.17', '   Train: ', '73.05', '   Train root: ', '16.67', '   time: ', 4495.989430904388)
+('epoch: ', 7, 'V all: ', '79.81', '   Test all: ', '79.75', 'V root: ', '33.97', '   Test root: ', '32.44', '   Train: ', '73.78', '   Train root: ', '38.89', '   time: ', 5136.849200963974)
+('epoch: ', 8, 'V all: ', '80.06', '   Test all: ', '79.97', 'V root: ', '33.88', '   Test root: ', '31.54', '   Train: ', '73.65', '   Train root: ', '27.78', '   time: ', 5777.844715833664)
+('epoch: ', 9, 'V all: ', '80.11', '   Test all: ', '80.01', 'V root: ', '34.42', '   Test root: ', '32.08', '   Train: ', '74.82', '   Train root: ', '33.33', '   time: ', 6418.884579896927)
+('epoch: ', 10, 'V all: ', '80.06', '   Test all: ', '80.07', 'V root: ', '33.97', '   Test root: ', '31.95', '   Train: ', '74.00', '   Train root: ', '27.78', '   time: ', 7059.989838838577)
+('Best valid: ', '34.42', ' Test all: ', '79.59', 'Test root: ', '33.17', '   time: ', 7059.989894866943)
+
+learning rate:  2.36118324143e-05  batch =  25  decay =  0.8
+model LSTM_6 :  h_dim =  100
+
+('epoch: ', 0, 'V all: ', '78.35', '   Test all: ', '78.28', 'V root: ', '20.80', '   Test root: ', '17.60', '   Train: ', '79.39', '   Train root: ', '11.11', '   time: ', 417.0914740562439)
+('epoch: ', 1, 'V all: ', '78.35', '   Test all: ', '78.28', 'V root: ', '20.80', '   Test root: ', '17.60', '   Train: ', '79.44', '   Train root: ', '27.78', '   time: ', 834.1458189487457)
+('epoch: ', 2, 'V all: ', '78.35', '   Test all: ', '78.28', 'V root: ', '20.80', '   Test root: ', '17.60', '   Train: ', '78.84', '   Train root: ', '16.67', '   time: ', 1249.8023920059204)
+('epoch: ', 3, 'V all: ', '78.35', '   Test all: ', '78.28', 'V root: ', '20.80', '   Test root: ', '17.60', '   Train: ', '78.94', '   Train root: ', '16.67', '   time: ', 1666.0157821178436)
+('epoch: ', 4, 'V all: ', '78.35', '   Test all: ', '78.28', 'V root: ', '20.80', '   Test root: ', '17.60', '   Train: ', '78.76', '   Train root: ', '38.89', '   time: ', 2080.1907861232758)
+('epoch: ', 5, 'V all: ', '78.35', '   Test all: ', '78.28', 'V root: ', '20.80', '   Test root: ', '17.60', '   Train: ', '78.48', '   Train root: ', '22.22', '   time: ', 2491.7627279758453)
+('Best valid: ', '20.80', ' Test all: ', '78.28', 'Test root: ', '17.60', '   time: ', 2491.7627811431885)
+
+
+
+learning rate:  0.004  batch =  25  decay =  0.8
+model LSTM_3 :  h_dim =  100
+
+('epoch: ', 0, 'V all: ', '81.55', '   Test all: ', '81.61', 'V root: ', '33.97', '   Test root: ', '34.16', '   Train: ', '70.75', '   Train root: ', '16.67', '   time: ', 702.158285856247)
+('epoch: ', 1, 'V all: ', '82.08', '   Test all: ', '81.98', 'V root: ', '34.79', '   Test root: ', '32.49', '   Train: ', '74.97', '   Train root: ', '27.78', '   time: ', 1391.9133739471436)
+('epoch: ', 2, 'V all: ', '83.66', '   Test all: ', '83.61', 'V root: ', '41.33', '   Test root: ', '40.41', '   Train: ', '71.69', '   Train root: ', '16.67', '   time: ', 2075.352313041687)
+('epoch: ', 3, 'V all: ', '84.13', '   Test all: ', '84.07', 'V root: ', '42.05', '   Test root: ', '39.00', '   Train: ', '70.43', '   Train root: ', '27.78', '   time: ', 2761.10723900795)
+('epoch: ', 4, 'V all: ', '84.24', '   Test all: ', '84.30', 'V root: ', '41.87', '   Test root: ', '42.22', '   Train: ', '72.02', '   Train root: ', '44.44', '   time: ', 3442.5200638771057)
+('epoch: ', 5, 'V all: ', '84.52', '   Test all: ', '84.49', 'V root: ', '44.32', '   Test root: ', '44.12', '   Train: ', '68.44', '   Train root: ', '16.67', '   time: ', 4109.356506824493)
+('epoch: ', 6, 'V all: ', '84.80', '   Test all: ', '84.71', 'V root: ', '44.69', '   Test root: ', '44.03', '   Train: ', '70.57', '   Train root: ', '16.67', '   time: ', 4780.664813041687)
+('epoch: ', 7, 'V all: ', '84.79', '   Test all: ', '84.71', 'V root: ', '42.87', '   Test root: ', '43.35', '   Train: ', '69.14', '   Train root: ', '33.33', '   time: ', 5447.874457836151)
+('epoch: ', 8, 'V all: ', '84.90', '   Test all: ', '84.97', 'V root: ', '44.23', '   Test root: ', '44.98', '   Train: ', '69.82', '   Train root: ', '38.89', '   time: ', 6118.536234855652)
+('epoch: ', 9, 'V all: ', '85.05', '   Test all: ', '84.90', 'V root: ', '43.51', '   Test root: ', '42.08', '   Train: ', '71.93', '   Train root: ', '22.22', '   time: ', 6789.050002813339)
+('epoch: ', 10, 'V all: ', '85.04', '   Test all: ', '84.96', 'V root: ', '42.69', '   Test root: ', '42.17', '   Train: ', '70.87', '   Train root: ', '22.22', '   time: ', 7452.532742977142)
+('epoch: ', 11, 'V all: ', '85.08', '   Test all: ', '85.09', 'V root: ', '44.60', '   Test root: ', '43.85', '   Train: ', '68.91', '   Train root: ', '27.78', '   time: ', 8124.614536046982)
+('Best valid: ', '44.69', ' Test all: ', '84.71', 'Test root: ', '44.03', '   time: ', 8124.614588975906)
+
+learning rate:  0.004  batch =  25  decay =  0.8
+model LSTM_6 :  h_dim =  100
+
+('epoch: ', 0, 'V all: ', '80.34', '   Test all: ', '80.55', 'V root: ', '32.79', '   Test root: ', '32.94', '   Train: ', '72.45', '   Train root: ', '16.67', '   time: ', 363.6812279224396)
+('epoch: ', 1, 'V all: ', '79.83', '   Test all: ', '79.77', 'V root: ', '27.43', '   Test root: ', '26.61', '   Train: ', '77.03', '   Train root: ', '27.78', '   time: ', 719.3767509460449)
+('epoch: ', 2, 'V all: ', '83.06', '   Test all: ', '83.00', 'V root: ', '39.96', '   Test root: ', '40.68', '   Train: ', '71.83', '   Train root: ', '16.67', '   time: ', 1078.7896060943604)
+('epoch: ', 3, 'V all: ', '83.27', '   Test all: ', '83.01', 'V root: ', '40.05', '   Test root: ', '37.69', '   Train: ', '71.12', '   Train root: ', '33.33', '   time: ', 1431.3772399425507)
+('epoch: ', 4, 'V all: ', '83.51', '   Test all: ', '83.52', 'V root: ', '41.14', '   Test root: ', '40.27', '   Train: ', '71.94', '   Train root: ', '38.89', '   time: ', 1786.427260875702)
+('epoch: ', 5, 'V all: ', '83.50', '   Test all: ', '83.48', 'V root: ', '42.78', '   Test root: ', '43.03', '   Train: ', '69.15', '   Train root: ', '22.22', '   time: ', 2142.6396629810333)
+('epoch: ', 6, 'V all: ', '83.78', '   Test all: ', '83.72', 'V root: ', '42.23', '   Test root: ', '41.99', '   Train: ', '70.52', '   Train root: ', '11.11', '   time: ', 2497.0335059165955)
+('epoch: ', 7, 'V all: ', '83.73', '   Test all: ', '83.64', 'V root: ', '41.51', '   Test root: ', '42.13', '   Train: ', '69.48', '   Train root: ', '33.33', '   time: ', 2852.5979030132294)
+('epoch: ', 8, 'V all: ', '84.02', '   Test all: ', '83.90', 'V root: ', '43.87', '   Test root: ', '43.08', '   Train: ', '70.90', '   Train root: ', '33.33', '   time: ', 3206.461333990097)
+('epoch: ', 9, 'V all: ', '84.03', '   Test all: ', '83.82', 'V root: ', '42.78', '   Test root: ', '40.68', '   Train: ', '72.89', '   Train root: ', '22.22', '   time: ', 3566.0089149475098)
+('epoch: ', 10, 'V all: ', '84.14', '   Test all: ', '83.78', 'V root: ', '43.60', '   Test root: ', '40.90', '   Train: ', '71.17', '   Train root: ', '22.22', '   time: ', 3936.687119960785)
+('epoch: ', 11, 'V all: ', '84.10', '   Test all: ', '84.02', 'V root: ', '44.78', '   Test root: ', '42.49', '   Train: ', '69.12', '   Train root: ', '27.78', '   time: ', 4294.417979955673)
+('epoch: ', 12, 'V all: ', '84.25', '   Test all: ', '84.03', 'V root: ', '44.32', '   Test root: ', '43.08', '   Train: ', '71.22', '   Train root: ', '5.56', '   time: ', 4650.08545088768)
+('epoch: ', 13, 'V all: ', '84.03', '   Test all: ', '83.96', 'V root: ', '43.32', '   Test root: ', '42.94', '   Train: ', '68.62', '   Train root: ', '16.67', '   time: ', 5004.226916074753)
+('epoch: ', 14, 'V all: ', '84.27', '   Test all: ', '83.98', 'V root: ', '43.87', '   Test root: ', '42.31', '   Train: ', '70.73', '   Train root: ', '16.67', '   time: ', 5352.412833929062)
+('epoch: ', 15, 'V all: ', '84.23', '   Test all: ', '84.15', 'V root: ', '43.78', '   Test root: ', '43.71', '   Train: ', '72.75', '   Train root: ', '11.11', '   time: ', 5711.908730983734)
+('epoch: ', 16, 'V all: ', '84.23', '   Test all: ', '84.12', 'V root: ', '43.69', '   Test root: ', '42.76', '   Train: ', '72.00', '   Train root: ', '16.67', '   time: ', 6066.104959011078)
+('Best valid: ', '44.78', ' Test all: ', '84.02', 'Test root: ', '42.49', '   time: ', 6066.105010986328)
+
+
+
+model LSTM_1_3 :  h_dim =  100  learning rate =  0.05  batch_size =  1  dropout_rate =  0.5
+
+('epoch: ', 0, 'V all: ', '79.84', '   Test all: ', '79.55', 'V root: ', '36.15', '   Test root: ', '34.80', '   Train: ', '79.84', '   Train root: ', '37.38', '   time: ', 718.3809070587158)
+('epoch: ', 1, 'V all: ', '80.91', '   Test all: ', '80.87', 'V root: ', '38.06', '   Test root: ', '35.70', '   Train: ', '81.09', '   Train root: ', '40.89', '   time: ', 1430.9809610843658)
+('epoch: ', 2, 'V all: ', '81.91', '   Test all: ', '81.70', 'V root: ', '39.51', '   Test root: ', '38.96', '   Train: ', '81.71', '   Train root: ', '43.22', '   time: ', 2133.230813026428)
+('epoch: ', 3, 'V all: ', '82.79', '   Test all: ', '82.51', 'V root: ', '42.05', '   Test root: ', '39.32', '   Train: ', '83.78', '   Train root: ', '43.46', '   time: ', 2835.509222984314)
+('epoch: ', 4, 'V all: ', '83.02', '   Test all: ', '82.90', 'V root: ', '43.32', '   Test root: ', '42.58', '   Train: ', '83.40', '   Train root: ', '43.69', '   time: ', 3537.7417311668396)
+('epoch: ', 5, 'V all: ', '83.29', '   Test all: ', '83.22', 'V root: ', '43.51', '   Test root: ', '42.76', '   Train: ', '85.03', '   Train root: ', '46.73', '   time: ', 4239.776131153107)
+('epoch: ', 6, 'V all: ', '83.59', '   Test all: ', '83.53', 'V root: ', '43.05', '   Test root: ', '43.30', '   Train: ', '84.36', '   Train root: ', '45.33', '   time: ', 4943.585261106491)
+('epoch: ', 7, 'V all: ', '83.84', '   Test all: ', '83.93', 'V root: ', '42.78', '   Test root: ', '43.57', '   Train: ', '84.62', '   Train root: ', '44.63', '   time: ', 5646.930427074432)
+('epoch: ', 8, 'V all: ', '84.00', '   Test all: ', '84.02', 'V root: ', '42.05', '   Test root: ', '42.17', '   Train: ', '84.96', '   Train root: ', '52.57', '   time: ', 6353.823347091675)
+('epoch: ', 9, 'V all: ', '84.17', '   Test all: ', '84.18', 'V root: ', '42.51', '   Test root: ', '42.99', '   Train: ', '85.95', '   Train root: ', '48.60', '   time: ', 7077.24783205986)
+('epoch: ', 10, 'V all: ', '84.28', '   Test all: ', '84.35', 'V root: ', '41.69', '   Test root: ', '42.04', '   Train: ', '85.64', '   Train root: ', '47.20', '   time: ', 7809.332571029663)
+('Best valid: ', '43.51', ' Test all: ', '83.22', 'Test root: ', '42.76', '   time: ', 7809.3326251506805)
+
+
+model LSTM_1_3 :  h_dim =  100  learning rate =  0.1  batch_size =  1  dropout_rate =  0.5
+
+('epoch: ', 0, 'V all: ', '80.93', '   Test all: ', '80.63', 'V root: ', '38.24', '   Test root: ', '36.70', '   Train: ', '80.81', '   Train root: ', '38.32', '   time: ', 722.7882220745087)
+('epoch: ', 1, 'V all: ', '82.23', '   Test all: ', '81.98', 'V root: ', '41.42', '   Test root: ', '40.68', '   Train: ', '82.74', '   Train root: ', '47.20', '   time: ', 1438.021318912506)
+('epoch: ', 2, 'V all: ', '82.82', '   Test all: ', '82.74', 'V root: ', '41.42', '   Test root: ', '39.82', '   Train: ', '83.17', '   Train root: ', '45.33', '   time: ', 2154.50053691864)
+('epoch: ', 3, 'V all: ', '83.51', '   Test all: ', '83.64', 'V root: ', '41.96', '   Test root: ', '42.13', '   Train: ', '85.17', '   Train root: ', '45.33', '   time: ', 2862.069925069809)
+('epoch: ', 4, 'V all: ', '83.96', '   Test all: ', '83.92', 'V root: ', '44.32', '   Test root: ', '43.57', '   Train: ', '85.15', '   Train root: ', '47.90', '   time: ', 3566.2540459632874)
+('epoch: ', 5, 'V all: ', '84.05', '   Test all: ', '84.16', 'V root: ', '43.96', '   Test root: ', '44.93', '   Train: ', '86.29', '   Train root: ', '52.10', '   time: ', 4270.4726140499115)
+('epoch: ', 6, 'V all: ', '84.36', '   Test all: ', '84.48', 'V root: ', '44.05', '   Test root: ', '45.20', '   Train: ', '86.24', '   Train root: ', '52.10', '   time: ', 4974.646941900253)
+('epoch: ', 7, 'V all: ', '84.56', '   Test all: ', '84.80', 'V root: ', '43.87', '   Test root: ', '44.93', '   Train: ', '86.45', '   Train root: ', '50.00', '   time: ', 5678.60922908783)
+('epoch: ', 8, 'V all: ', '84.70', '   Test all: ', '84.72', 'V root: ', '43.87', '   Test root: ', '42.94', '   Train: ', '86.38', '   Train root: ', '55.37', '   time: ', 6395.742933988571)
+('epoch: ', 9, 'V all: ', '84.81', '   Test all: ', '85.00', 'V root: ', '43.32', '   Test root: ', '44.16', '   Train: ', '87.33', '   Train root: ', '52.34', '   time: ', 7119.891606092453)
+('Best valid: ', '44.32', ' Test all: ', '83.92', 'Test root: ', '43.57', '   time: ', 7119.891659975052)
+
+
+
+
+
+
+
+
diff --git a/results/wyniki_sst_MLP2.txt b/results/wyniki_sst_MLP2.txt
index f4d2ba8..0078de9 100644
--- a/results/wyniki_sst_MLP2.txt
+++ b/results/wyniki_sst_MLP2.txt
@@ -156,6 +156,62 @@ model MLP_2_2 :  nchd_dim =  50 ne_dim =  50 nh2 = 50
 ('Valid: ', '85.56', 'Valid root: ', '40.78', ' Test all: ', '84.85', 'Test root: ', '40.23', ' Train all: ', '90.04', 'Train root: ', '50.06', '   time: ', 14666.525396823883)
 ('Best valid: ', '85.86', ' Test all: ', '85.45', 'Test root: ', '38.96', '   time: ', 14666.525434017181)
 
+lr =  0.002 number_of_relations =  10
+model MLP_2_2 :  nchd_dim =  100 ne_dim =  100 nh2 = 100
+
+('Valid: ', '80.84', 'Valid root: ', '32.52', ' Test all: ', '80.63', 'Test root: ', '33.03', ' Train all: ', '81.29', 'Train root: ', '33.68', '   time: ', 683.9910709857941)
+('Valid: ', '81.79', 'Valid root: ', '34.33', ' Test all: ', '81.66', 'Test root: ', '31.81', ' Train all: ', '82.74', 'Train root: ', '37.66', '   time: ', 1349.2818939685822)
+('Valid: ', '82.89', 'Valid root: ', '37.97', ' Test all: ', '82.72', 'Test root: ', '36.83', ' Train all: ', '83.87', 'Train root: ', '38.60', '   time: ', 2017.0804870128632)
+('Valid: ', '83.76', 'Valid root: ', '37.06', ' Test all: ', '83.65', 'Test root: ', '36.33', ' Train all: ', '85.38', 'Train root: ', '41.64', '   time: ', 2696.337615966797)
+('Valid: ', '84.45', 'Valid root: ', '41.33', ' Test all: ', '83.96', 'Test root: ', '39.23', ' Train all: ', '85.42', 'Train root: ', '41.75', '   time: ', 3371.4485919475555)
+('Valid: ', '84.83', 'Valid root: ', '42.14', ' Test all: ', '84.36', 'Test root: ', '38.28', ' Train all: ', '86.68', 'Train root: ', '44.91', '   time: ', 4037.039141893387)
+('Valid: ', '85.21', 'Valid root: ', '42.87', ' Test all: ', '84.77', 'Test root: ', '39.86', ' Train all: ', '86.57', 'Train root: ', '46.43', '   time: ', 4692.226758956909)
+('Valid: ', '85.33', 'Valid root: ', '43.23', ' Test all: ', '84.89', 'Test root: ', '40.54', ' Train all: ', '86.87', 'Train root: ', '42.46', '   time: ', 5355.899470806122)
+('Valid: ', '85.48', 'Valid root: ', '41.51', ' Test all: ', '85.07', 'Test root: ', '40.09', ' Train all: ', '86.98', 'Train root: ', '43.86', '   time: ', 6020.774860858917)
+('Valid: ', '85.48', 'Valid root: ', '40.78', ' Test all: ', '85.21', 'Test root: ', '38.33', ' Train all: ', '87.40', 'Train root: ', '42.92', '   time: ', 6694.7092888355255)
+('Valid: ', '85.71', 'Valid root: ', '41.42', ' Test all: ', '85.29', 'Test root: ', '38.73', ' Train all: ', '87.47', 'Train root: ', '45.03', '   time: ', 7404.035621881485)
+('Valid: ', '85.60', 'Valid root: ', '41.96', ' Test all: ', '85.27', 'Test root: ', '40.81', ' Train all: ', '87.81', 'Train root: ', '48.07', '   time: ', 8103.766199827194)
+('Valid: ', '85.64', 'Valid root: ', '41.78', ' Test all: ', '85.28', 'Test root: ', '40.14', ' Train all: ', '88.38', 'Train root: ', '46.08', '   time: ', 8768.173238992691)
+('Valid: ', '85.78', 'Valid root: ', '41.87', ' Test all: ', '85.25', 'Test root: ', '39.91', ' Train all: ', '88.50', 'Train root: ', '49.71', '   time: ', 9436.874769926071)
+('Valid: ', '85.22', 'Valid root: ', '42.05', ' Test all: ', '84.84', 'Test root: ', '41.00', ' Train all: ', '88.02', 'Train root: ', '48.89', '   time: ', 10104.806318998337)
+('Valid: ', '85.78', 'Valid root: ', '40.69', ' Test all: ', '85.46', 'Test root: ', '39.77', ' Train all: ', '89.07', 'Train root: ', '49.12', '   time: ', 10763.19808292389)
+('Valid: ', '85.71', 'Valid root: ', '38.06', ' Test all: ', '85.40', 'Test root: ', '36.70', ' Train all: ', '88.53', 'Train root: ', '47.13', '   time: ', 11420.610905885696)
+('Valid: ', '85.82', 'Valid root: ', '40.60', ' Test all: ', '85.22', 'Test root: ', '38.60', ' Train all: ', '89.09', 'Train root: ', '48.89', '   time: ', 12080.21979188919)
+('Valid: ', '84.97', 'Valid root: ', '36.33', ' Test all: ', '85.10', 'Test root: ', '39.86', ' Train all: ', '88.94', 'Train root: ', '49.24', '   time: ', 12736.204659938812)
+('Valid: ', '85.85', 'Valid root: ', '41.14', ' Test all: ', '85.36', 'Test root: ', '39.32', ' Train all: ', '89.60', 'Train root: ', '52.40', '   time: ', 13392.057343006134)
+('Valid: ', '85.55', 'Valid root: ', '40.24', ' Test all: ', '85.27', 'Test root: ', '39.37', ' Train all: ', '90.07', 'Train root: ', '54.04', '   time: ', 14055.33888578415)
+('Valid: ', '85.55', 'Valid root: ', '42.78', ' Test all: ', '85.22', 'Test root: ', '39.91', ' Train all: ', '90.36', 'Train root: ', '54.27', '   time: ', 14718.974306821823)
+('Valid: ', '85.59', 'Valid root: ', '42.42', ' Test all: ', '85.24', 'Test root: ', '41.40', ' Train all: ', '90.77', 'Train root: ', '54.39', '   time: ', 15391.908160924911)
+('Valid: ', '85.46', 'Valid root: ', '39.51', ' Test all: ', '85.32', 'Test root: ', '39.19', ' Train all: ', '90.70', 'Train root: ', '56.37', '   time: ', 16064.247756958008)
+('Valid: ', '85.20', 'Valid root: ', '39.60', ' Test all: ', '85.22', 'Test root: ', '40.68', ' Train all: ', '90.57', 'Train root: ', '55.67', '   time: ', 16721.87249994278)
+('Best valid: ', '85.85', ' Test all: ', '85.36', 'Test root: ', '39.32', '   time: ', 16721.872552871704)
 
 
+lr =  0.002 number_of_relations =  5
+model MLP_2_2 :  nchd_dim =  200 ne_dim =  200 nh2 = 100
+
+('Valid: ', '81.18', 'Valid root: ', '35.88', ' Test all: ', '80.84', 'Test root: ', '34.62', ' Train all: ', '81.63', 'Train root: ', '37.31', '   time: ', 702.7262439727783)
+('Valid: ', '82.55', 'Valid root: ', '38.60', ' Test all: ', '82.39', 'Test root: ', '36.29', ' Train all: ', '83.47', 'Train root: ', '42.81', '   time: ', 1403.9441678524017)
+('Valid: ', '83.69', 'Valid root: ', '40.51', ' Test all: ', '83.11', 'Test root: ', '38.64', ' Train all: ', '84.29', 'Train root: ', '40.00', '   time: ', 2100.271680831909)
+('Valid: ', '84.18', 'Valid root: ', '39.96', ' Test all: ', '83.79', 'Test root: ', '36.79', ' Train all: ', '85.57', 'Train root: ', '41.29', '   time: ', 2807.2550990581512)
+('Valid: ', '84.69', 'Valid root: ', '41.69', ' Test all: ', '83.97', 'Test root: ', '38.78', ' Train all: ', '85.76', 'Train root: ', '42.22', '   time: ', 3509.8950419425964)
+('Valid: ', '85.04', 'Valid root: ', '42.78', ' Test all: ', '84.32', 'Test root: ', '39.46', ' Train all: ', '86.84', 'Train root: ', '46.20', '   time: ', 4209.323768854141)
+('Valid: ', '85.32', 'Valid root: ', '42.87', ' Test all: ', '84.99', 'Test root: ', '40.54', ' Train all: ', '86.72', 'Train root: ', '45.85', '   time: ', 4924.798982858658)
+('Valid: ', '85.55', 'Valid root: ', '44.14', ' Test all: ', '84.94', 'Test root: ', '42.31', ' Train all: ', '87.09', 'Train root: ', '44.09', '   time: ', 5638.09903883934)
+('Valid: ', '85.66', 'Valid root: ', '43.23', ' Test all: ', '85.01', 'Test root: ', '40.36', ' Train all: ', '87.38', 'Train root: ', '45.85', '   time: ', 6339.071812868118)
+('Valid: ', '85.72', 'Valid root: ', '42.69', ' Test all: ', '85.18', 'Test root: ', '37.69', ' Train all: ', '87.46', 'Train root: ', '43.27', '   time: ', 7043.175123929977)
+('Valid: ', '85.79', 'Valid root: ', '41.14', ' Test all: ', '85.35', 'Test root: ', '38.87', ' Train all: ', '87.49', 'Train root: ', '44.56', '   time: ', 7741.885625839233)
+('Valid: ', '85.72', 'Valid root: ', '43.05', ' Test all: ', '85.23', 'Test root: ', '38.19', ' Train all: ', '87.92', 'Train root: ', '47.95', '   time: ', 8449.016423940659)
+('Valid: ', '85.69', 'Valid root: ', '42.60', ' Test all: ', '85.18', 'Test root: ', '39.82', ' Train all: ', '88.73', 'Train root: ', '46.43', '   time: ', 9155.778992891312)
+('Valid: ', '85.76', 'Valid root: ', '42.42', ' Test all: ', '85.27', 'Test root: ', '38.55', ' Train all: ', '88.69', 'Train root: ', '50.64', '   time: ', 9858.602687835693)
+('Valid: ', '85.59', 'Valid root: ', '44.41', ' Test all: ', '85.01', 'Test root: ', '40.23', ' Train all: ', '88.64', 'Train root: ', '49.71', '   time: ', 10561.391222953796)
+('Valid: ', '85.91', 'Valid root: ', '45.23', ' Test all: ', '85.37', 'Test root: ', '40.27', ' Train all: ', '89.14', 'Train root: ', '50.53', '   time: ', 11263.147186994553)
+('Valid: ', '85.97', 'Valid root: ', '39.51', ' Test all: ', '85.19', 'Test root: ', '35.07', ' Train all: ', '88.80', 'Train root: ', '47.13', '   time: ', 11966.210083961487)
+('Valid: ', '85.90', 'Valid root: ', '42.51', ' Test all: ', '85.38', 'Test root: ', '40.63', ' Train all: ', '89.45', 'Train root: ', '50.06', '   time: ', 12668.672405958176)
+('Valid: ', '85.17', 'Valid root: ', '39.15', ' Test all: ', '85.21', 'Test root: ', '41.04', ' Train all: ', '89.89', 'Train root: ', '51.93', '   time: ', 13375.51733803749)
+('Valid: ', '85.86', 'Valid root: ', '42.69', ' Test all: ', '85.20', 'Test root: ', '38.37', ' Train all: ', '89.98', 'Train root: ', '52.51', '   time: ', 14080.268343925476)
+('Valid: ', '85.75', 'Valid root: ', '43.23', ' Test all: ', '85.17', 'Test root: ', '38.87', ' Train all: ', '90.64', 'Train root: ', '54.74', '   time: ', 14786.133425951004)
+('Valid: ', '85.85', 'Valid root: ', '42.78', ' Test all: ', '85.23', 'Test root: ', '38.91', ' Train all: ', '90.89', 'Train root: ', '54.27', '   time: ', 15484.936663866043)
+('Best valid: ', '85.97', ' Test all: ', '85.19', 'Test root: ', '35.07', '   time: ', 15484.936718940735)
+
 
--
libgit2 0.22.2