freqListInterps.ml
23.9 KB
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(* Blame Szymon Rutkowski - szymon@szymonrutkowski.pl - Dec 2016. *)
open Xstd
(* utils *)
let uniq lst =
let seen = Hashtbl.create (List.length lst) in
List.filter (fun x -> let tmp = not (Hashtbl.mem seen x) in
Hashtbl.replace seen x ();
tmp) lst
let rec join delim lst =
(* Concatenate list of strings into one string, delimited by delim *)
if lst = [] then ""
else List.hd lst ^ (if List.tl lst = [] then ""
else delim ^ join delim (List.tl lst))
let slice lst b e =
(* Given a list, return a slice from b to e *)
let rec slice_step lst b e accm =
if lst = [] || b >= e then []
else if e = 0 then accm
else if b > 0 then slice_step (List.tl lst) (b-1) (e-1) accm
else if b = 0 then
slice_step (List.tl lst) (b-1) (e-1) (List.hd lst :: accm)
else slice_step lst 0 e accm
in
List.rev (slice_step lst b e [])
let str_contains str frag =
try (Str.search_forward (Str.regexp frag) str 0; true)
with Not_found -> false
let longest_str lst =
let rec longest_str_step lst win winlen =
if lst = [] then win
else if String.length (List.hd lst) > winlen
then longest_str_step (List.tl lst) (List.hd lst)
(String.length (List.hd lst))
else longest_str_step (List.tl lst) win winlen
in
longest_str_step lst "" 0
let shortest_str lst =
let rec shortest_str_step lst win winlen =
if lst = [] then win
else if String.length (List.hd lst) < winlen
then shortest_str_step (List.tl lst) (List.hd lst)
(String.length (List.hd lst))
else shortest_str_step (List.tl lst) win winlen
in
shortest_str_step lst "" 999999
let most_samechars lst patrn =
(* Return a string from lst that shares of the same characters in its
* beginning with patrn. If no characters are the same, return the
* patrn. *)
let rec samechars s1 s2 cnt =
if s1 = "" || s2 = "" then cnt
else if String.get s1 0 = String.get s2 0
then samechars (String.sub s1 0 ((String.length s1)-1))
(String.sub s1 0 ((String.length s1)-1)) (cnt+1)
else cnt
in
let rec most_samechars_step lst patrn win winscr =
if lst = [] then win
else let score = (samechars (List.hd lst) patrn 0) in
if score > winscr
then most_samechars_step (List.tl lst) patrn (List.hd lst) score
else most_samechars_step (List.tl lst) patrn win winscr
in
most_samechars_step lst patrn patrn 0
let prefer pfs lst =
(* Return first element from pfs that was found in lst. Throw Not_found
* if nothing was found. pfs can't contain empty string. *)
if lst = [] || pfs = [] then raise Not_found
(* for each element from pfs, try to find it on lst *)
else let findings = List.map
(fun p -> try (List.find (fun x -> x = p) lst) with Not_found -> "")
pfs
in
(* try to find some non-false finding: *)
List.find (fun f -> String.length f > 0) findings
(* Not_found uncatched /\ *)
let strrev s =
(* Reverse a string. *)
let rec strrev_step s ns =
if s = "" then ns
else strrev_step (String.sub s 1 ((String.length s)-1))
((String.make 1 (String.get s 0)) ^ ns)
in
strrev_step s ""
let print_strlst lst =
Printf.printf "[";
Xlist.iter
lst
(fun e -> Printf.printf " %s " e);
Printf.printf "]"
let strmap_contains m e = try (StringMap.find m e; true)
with Not_found -> false
let map_from_list lst idx_fun =
(* return a StringMap, containing all entries sorted by string hash
* obtained by applying idx_fun to given element of lst *)
Xlist.fold lst StringMap.empty
(fun m elem -> StringMap.add_inc m (idx_fun elem) [elem]
(fun l -> elem :: l))
(* working code *)
let neutx_to_neut tag = Str.global_replace
(Str.regexp ("\(n[0-9]\.?\)*n[0-9]"))
"n" tag
let lists_of_tag tag =
(Xlist.rev_map
(Xstring.split ":" (neutx_to_neut tag))
(fun elem ->
Xstring.split "\." elem))
let variants_of tag =
(* variants_of takes a tag as string and returns all its variants as a
* list of strings, unfolding all the variants *)
let rec fold_as_str = fun l ->
if l = [] then "" else (List.hd l)
(* add the colon if needed: *)
^ (if (List.tl l) = [] then (fold_as_str (List.tl l))
else (":" ^ fold_as_str (List.tl l)))
in
uniq
(Xlist.rev_map
(Xlist.multiply_list
(List.rev (* tag elems got reversed earlier *)
(lists_of_tag tag)))
fold_as_str)
let regexp_of_tag tg =
Str.regexp
(join ":" (Xlist.rev_map (lists_of_tag tg)
(fun variants -> "\(\(" ^ (join "\|" variants) ^ "\)\.?\)+")))
let create_interp_map itp_list =
(* create_interp takes itp_list and creates a string map, indexed by
* short tags, to the long (full) tags *)
Xlist.fold itp_list StringMap.empty
(fun smap tag ->
let tag = neutx_to_neut tag in
(Xlist.fold
(variants_of tag)
smap
(fun smap short_tag ->
(StringMap.add_inc smap short_tag [tag]
(fun l -> tag :: l)))))
type sgjp_entry = { sg_orth: string; sg_lemma: string; sg_interp: string}
let create_sgjp_map_nohyph fname =
(* load SGJP from the fname, as a map indexed by word forms, removing
* all entries that contain a hyphen *)
let clean_lemma lm = List.hd (Xstring.split ":" lm) in
map_from_list
(List.filter (fun s -> not (str_contains s.sg_orth "-"))
(File.load_tab fname
(function [sg_orth; sg_lemma; sg_interp; _; _] ->
{sg_orth=sg_orth; sg_lemma=clean_lemma sg_lemma;
sg_interp=(neutx_to_neut sg_interp)}
| [] -> failwith "Empty entry in SGJP file"
| _::_ -> {sg_orth=""; sg_lemma=""; sg_interp=""})))
(fun etr -> etr.sg_orth)
type freq_entry = { orth:string; lemma:string; interp:string; frq:string;
compos:string; sgjp_status:string; word_type:string; corr:string;
rule_id:string; cat:string }
let check_sgjp_interp etr sgjp =
(* return interpretation for the entry, if possible, using sgjp (map) *)
try (let retrieved = (StringMap.find sgjp etr.orth) in
if List.length retrieved = 1
&& (List.hd retrieved).sg_lemma = etr.lemma
then (List.hd retrieved).sg_interp
else "AMBIG-" ^ etr.interp)
with Not_found -> "AMBIG-" ^ etr.interp
let simplify_qub tg =
(* change qub:nwok/wok into plain qub *)
try (Str.search_forward (Str.regexp "qub") tg 0;
List.hd(Xstring.split ":" tg))
with Not_found -> tg
let resolve_num etr inps =
(* if word form of etr is purely numerical, assign to it the broadest
* interpretation *)
if not (str_contains etr.interp "num:") then etr
else if (Str.string_match (Str.regexp "^[123456789IVXLCM]+$")
etr.orth 0)
then { etr with interp=longest_str inps }
else { etr with interp=shortest_str inps }
let resolve_verb etr inps =
(* choose interpretation of a verb that shares most chars with the
* original one (should resolve perf.imperf issues etc.) *)
let verbs = Xlist.rev_map ["praet:"; "imps:"; "imp"; "fin"; "inf";
"ger:"; "pact:"; "ppas:"] (str_contains etr.interp) in
let truth x = if x = true then true else false in
if List.exists truth verbs
then {etr with interp=strrev (most_samechars (Xlist.rev_map inps strrev)
(strrev (etr.interp)))}
else etr
let generalize etr itp_map sgjp_map =
(* given an entry from frequency list, try to assign it a generalized
* tag using itp_map and sgjp_map *)
try (match uniq (StringMap.find itp_map (etr.interp))
with
| [] -> etr
| h::[] -> { etr with interp=h }
| inps -> resolve_verb (resolve_num
{ etr with interp=(check_sgjp_interp etr sgjp_map) }
inps) inps)
with Not_found -> (* Printf.printf "not found %s\n" etr.interp;*)
{etr with interp= (simplify_qub etr.interp)}
let print_list fname lst =
(let out = open_out fname in
(Xlist.iter lst (fun etr -> output_string out etr));
close_out out)
let print_freq fname lst =
print_list fname
(Xlist.rev_map
lst
(fun etr -> Printf.sprintf "%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\n"
etr.orth etr.lemma etr.interp etr.frq etr.compos etr.sgjp_status
etr.word_type etr.corr etr.rule_id etr.cat))
let merge_entries lst =
(* Given a list of freq entries, merge those that have the same (orth,
* lemma, interp) triple if lowercased, summing the frequencies *)
let lwr = Xunicode.lowercase_utf8_string in
let etr_pnts = Xlist.fold lst StringMap.empty
(fun m etr -> StringMap.add_inc m
(lwr (join "~" [etr.orth; etr.lemma; etr.interp]))
[etr] (fun l -> etr :: l))
in
StringMap.fold etr_pnts []
(fun l k v -> let e = (List.hd v) in
{orth=(lwr e.orth); lemma=(lwr e.lemma); interp=e.interp;
(* sum the frequencies *)
frq=string_of_int
(Xlist.fold v 0 (fun cnt vl -> cnt+(int_of_string vl.frq)));
(* prefer the most general value of those parameters, among present in
* all merged entries: *)
compos=prefer ["COMPOS"; "COMPOS-ndm"; "COMPOS-*"; "COMPOS-ALT";
"COMPOS-LWR"; "COMPOS-LWR-ndm"; "COMPOS-LWR-*"; "COMPOS-LWR-ALT";
"NCOMPOS"] (Xlist.rev_map v (fun e -> e.compos));
sgjp_status=prefer ["SGJP-EXACT"; "SGJP-LMM-UNCAPITAL";
"SGJP-LMM-CAPITAL"; "SGJP-LMM-LOWER"; "SGJP-BTH-LOWER"; "NON-SGJP"]
(Xlist.rev_map v (fun e -> e.sgjp_status));
word_type=prefer ["CW"; "NCH"; "EXT"; "SYMB"; "ACRO"; "PN"; "SPEC";
"NEOL"; "COMPD"; "WEB"] (Xlist.rev_map v (fun e -> e.word_type));
corr=prefer ["CORR"; "CERR"; "DIAL"; "PHON"; "ERR"; "TAGD"; "PLTAN";
"TAGE"; "ERR-TAGE"; "CERR-TAGE"] (Xlist.rev_map v (fun e -> e.corr));
rule_id=""; cat=""}
:: l)
let tag_rules alt_fname lst =
(* tag freq entries with their rule ids - loading the exceptions from
* alt_fname - currently rules ambiguity are resolved by choosing the
* most specific rule *)
let alts =
Xlist.fold
(File.load_tab alt_fname (fun [orth; _; _] -> orth))
StringMap.empty (fun m e -> StringMap.add m e "")
in
Xlist.rev_map lst
(fun etr ->
if strmap_contains alts etr.orth then {etr with rule_id="ALT"}
else if etr.compos="NCOMPOS" then etr
else let rls = Xlist.filter
(Rules.CharTrees.find Inflexion.rules etr.orth)
(fun o -> match o with
(stem, rl) -> ((stem ^ rl.set) = etr.lemma)
&& (Str.string_match (regexp_of_tag etr.interp)
(neutx_to_neut rl.interp) 0))
in
if List.length rls = 0 then
(if etr.compos!="NCOMPOS" then
((*Printf.printf "can't find rule for COMPOS %s\n" etr.orth;*)
{etr with compos="NCOMPOS"})
else etr)
(* extract the first rule from the list: *)
else let hdrule = (match List.hd rls with (_, rl) -> rl) in
(* if it's the only one, just return it: *)
if List.length rls = 1 then {etr with rule_id=hdrule.id}
else ((*Printf.printf "too many rules match %s (%s )\n"
etr.orth (Xlist.fold rls "" (fun str r -> str ^ " " ^
(match r with (_, r) -> r.id)));*)
(* select the rule with the longest "set" (agglutinant) *)
{etr with rule_id = (Xlist.fold rls hdrule
(fun choice opt ->
match opt with (_, opt) ->
if String.length choice.set<String.length opt.set
then opt else choice)).id}))
let cat_of_tag tag = match List.hd (Xstring.split ":" tag) with
| "subst" -> "noun" | "depr" -> "noun"
| "adj" -> "adj" | "adja" -> "adj" | "adjc" -> "adj" | "adjp" -> "adj"
| "adv" -> "adv"
| "inf" -> "verb" | "praet"-> "verb" | "fin" -> "verb"
| "ppas" -> "verb" | "pact" -> "verb" | "pacta" -> "verb"
| "impt" -> "verb" | "imps" -> "verb" | "pcon" -> "verb"
| "pant" -> "verb" | "ger" -> "verb"
| "bedzie" -> "other" | "pred"-> "other" | "prep" -> "other"
| "num" -> "other" | "aglt" -> "other" | "winien" -> "other"
| "qub" -> "other" | "brev" -> "other" | "comp" -> "other"
| "interj" -> "other" | "burk" -> "other" | "numcol" -> "other"
| "conj" -> "other" | "ppron12" -> "other" | "ppron3" -> "other"
| "ppron2" -> "other" | "ppron1" -> "other" | "ppron" -> "other"
| "interp" -> "other" | "xxx" -> "other" | "siebie" -> "other"
| "cond" -> "cond"
| _ -> failwith
(Printf.sprintf "unknown part of speech in %s" tag)
let tag_cats lst =
Xlist.rev_map lst (fun etr -> {etr with cat = cat_of_tag etr.interp })
let sum_list_freq lst =
Xlist.fold lst 0 (fun t etr -> t+(int_of_string etr.frq))
let map_interp_given_cat freq =
(* map_interp_given_cat prepares a map from cat's to map of interps to
* their (normalized->probability) scores *)
let normalize scoretable =
StringMap.fold scoretable StringMap.empty
(fun sctb key vals ->
(* count total frequency for this cat *)
let total = float_of_int
(StringMap.fold vals 0 (fun t _ f -> t + f))
in
(StringMap.add sctb key
(* normalize for each interp *)
(StringMap.fold vals StringMap.empty
(fun newvals v s -> StringMap.add newvals v
((float_of_int s) /. total)))))
in
normalize
(Xlist.fold freq StringMap.empty
(fun m etr -> StringMap.add_inc m etr.cat
(* create an empty map, and add the first entry: *)
(StringMap.add StringMap.empty etr.interp
(int_of_string etr.frq))
(* if map exists, add or increment entry for this interp: *)
(fun itps -> StringMap.add_inc itps etr.interp
(int_of_string etr.frq)
(fun score -> score+(int_of_string etr.frq)))))
let model_prob freq_map freq_map_lmcat itp_given_cat float_total_freq orth interp cat =
(* P (form|lemma, cat, interp): *) (1.0
*. ((((* P(lemma, cat): *)
(float_of_int
(if strmap_contains freq_map_lmcat
(interp ^ "~" ^ cat)
(* sum frequencies of entries with given lemma:cat: *)
then sum_list_freq (StringMap.find freq_map_lmcat
(interp ^ "~" ^ cat)) + 1
else 1))
/. float_total_freq)
(* P(interp|cat) - precalculated probability: *)
*. try (let itps_for_cat = StringMap.find itp_given_cat cat in
StringMap.find itps_for_cat interp)
with Not_found ->
((*Printf.printf (*failwith*) "Can't find freq for interp: %s\n"
interp*) 0.0))
/. (* P(form): *)
(float_of_int
(if strmap_contains freq_map orth
then sum_list_freq (StringMap.find freq_map orth) + 1
else 1)
/. float_total_freq)))
let all_model_probs orth itp_list mod_prob_func =
(* for interps from itp_list, return a tuple (probability, interp) *)
Xlist.map itp_list
(fun itp -> ((mod_prob_func orth itp (cat_of_tag itp)), itp))
let normalize_probs probs =
let total = Xlist.fold probs 0.0 (fun t (p, i) -> t +. p) in
Xlist.map probs (fun (p, i) -> (p /. total, i))
let most_probable probs threshold =
(* probs contains tuples (prob, interp), return interps such that
* their accumulated probability minimally exceeds the threshold *)
List.map
(fun (p, i) -> i)
(Xlist.fold (List.sort compare probs) []
(fun lst (prob, itp) ->
if (Xlist.fold lst 0.0 (fun sum (p, i) -> sum +. p)) > threshold
then lst else (prob, itp) :: lst))
let eval_model threshold freq_map itp_lst float_total_freq mod_prob_func =
StringMap.fold freq_map 0.0
(fun accum form etrs ->
let total_local_freq = float_of_int (sum_list_freq etrs) in
accum +.
(* weight of this form: *)
(total_local_freq /. float_total_freq)
*. ((float_of_int (sum_list_freq
(* get the interps below the threshold *)
(Xlist.fold (most_probable
(normalize_probs (all_model_probs form itp_lst mod_prob_func))
threshold)
[]
(* get entries for these interps, so we'll sum their freqs *)
(fun lst interp ->
try ((List.find (fun etr -> etr.interp = interp) etrs)
:: lst)
with _ -> lst))))
/. total_local_freq))
let _ =
let itp_list = File.load_tab "data/interps_general.tab"
(function [_; tag; _] -> tag
| [] -> failwith "Empty entry in the interp file"
| _::_ -> failwith "Malformatted entry in the interp file")
in
let sgjp_map = create_sgjp_map_nohyph
"../../NLP resources/sgjp-20160724.tab"
in
(* generalize frequency: *)
let gen_freq =
(tag_cats
(tag_rules "../resources/SGJP/alt.tab"
(merge_entries
(let interp_map = (create_interp_map itp_list) in
let freq = File.load_tab
"../resources/NKJP1M/NKJP1M-tagged-frequency.tab"
(function [o;l;i;f;c;s;w;cr] -> { orth=o; lemma=l; interp=i; frq=f;
compos=c; sgjp_status=s; word_type=w; corr=cr; rule_id=""; cat=""}
| [] -> failwith "Empty entry in the freq file"
| _::_ -> failwith "Malformatted entry in the freq file") in
(* after loading the list, prune it and perform generalization *)
Xlist.rev_map
(List.filter
(* filter out errors and symbols *)
(fun etr -> etr.corr = "CORR" && not (etr.word_type = "SYMB"
|| etr.word_type = "COMPD" || etr.word_type = "WEB"
|| etr.word_type = "ACRO"))
freq)
(fun etr -> generalize etr interp_map sgjp_map)))))
in
(* count the total frequency of all entries *)
let total_freq = Xlist.fold gen_freq 0
(fun tally etr -> tally + int_of_string etr.frq)
in
let float_total_freq = float_of_int total_freq
in
(* make a map of the freq, indexed by word forms *)
let freq_map = map_from_list gen_freq (fun etr -> etr.orth)
in
(* and another by lemma:cat *)
let freq_map_lmcat = map_from_list gen_freq
(fun etr -> etr.lemma ^ "~" ^ etr.cat)
in
let freq_map_lmitp = map_from_list gen_freq
(fun etr -> etr.lemma ^ "~" ^ etr.interp)
in
(* count P(interp|cat)'s *)
let itp_given_cat = map_interp_given_cat gen_freq
in
(* print the generalized frequency to file *)
(print_freq "../resources/NKJP1M/NKJP1M-generalized-frequency.tab"
gen_freq;
(* print the number of forms from freq that are not NON-SGJP *)
Printf.printf "All forms that are in freq and not NON-SGJP %d/%d\n"
(Xlist.fold gen_freq 0 (fun tally etr -> if etr.sgjp_status = "NON-SGJP"
then tally else tally+int_of_string etr.frq))
total_freq;
(* print the number of forms from freq that are present in SGJP, but not
* in their correct interpretations *)
(Printf.printf "Forms present in SGJP, w/o the correct interp: %d/%d\n"
(Xlist.fold gen_freq 0
(fun tally etr ->
if strmap_contains sgjp_map etr.orth
&& List.length (Xlist.filter (StringMap.find sgjp_map etr.orth)
(fun sg_etr -> sg_etr.sg_lemma = etr.lemma
&& Str.string_match (regexp_of_tag etr.interp)
sg_etr.sg_interp 0))
= 0
then ((*Printf.printf "%s\n" etr.orth; (*FIXME printing 'traps' to stdout...*)*)
(tally+int_of_string etr.frq)) else tally))
total_freq);
(* print intermediate probabilities used by the model *)
print_list "doc/prob_lemmacat.txt"
(StringMap.fold freq_map_lmcat []
(fun lst lmcat vnts -> Printf.sprintf "%s\t%f\n"
(Str.global_replace (Str.regexp "~") "\t" lmcat)
((float_of_int (sum_list_freq vnts)) /. float_total_freq) :: lst));
print_list "doc/prob_itp_givencat.txt"
(StringMap.fold itp_given_cat []
(fun lst cat itps ->
lst @
StringMap.fold itps [] (fun ilst itp prob ->
Printf.sprintf "%s\t%s\t%f\n" itp cat prob :: ilst)));
(* print a model for entries from SGJP *)
(*print_list "../resources/NKJP1M/model.tab"
(StringMap.fold sgjp_map []
(fun whole_lst _ sg_etrs -> (Xlist.fold sg_etrs []
(fun form_lst sg_etr ->
let sg_etr_cat = (cat_of_tag sg_etr.sg_interp)
in
Printf.sprintf "%s\t%s\t%s\t%s\t%f\n"
sg_etr.sg_orth sg_etr.sg_lemma sg_etr_cat sg_etr.sg_interp
(model_prob freq_map freq_map_lmcat itp_given_cat float_total_freq
sg_etr.sg_orth sg_etr.sg_interp sg_etr_cat) :: form_lst)
@ whole_lst)));*)
(* count non-uniform forms in SGJP *)
(let out = open_out "doc/multi_forms.txt" in
StringMap.iter
(* fold SGJP into a map (lemma~interp)->their occurences *)
(StringMap.fold sgjp_map StringMap.empty
(fun m _ entries ->
Xlist.fold entries m
(fun m e -> let ident = (e.sg_lemma ^ "~" ^ e.sg_interp) in
StringMap.add_inc m ident [e.sg_orth] (fun l -> e.sg_orth :: l))))
(* for each entry in this map, print it if has more >1 occurence*)
(fun k fs -> let fs = uniq fs in
if List.length fs > 1
then Printf.fprintf out "\nMore than 1 form of %s: %s %s" k
(Xlist.fold fs "" (fun str fm -> str ^ " " ^ fm))
(* look up the freq and print the entries if relevant *)
(join " "
(List.map (fun etr -> "(from freq "^etr.orth^": "^etr.frq^")")
(if strmap_contains freq_map_lmitp k
then StringMap.find freq_map_lmitp k else [])))
else ());
close_out out);
Printf.printf "Model evaluation: %f\n"
(eval_model 0.95 freq_map itp_list
float_total_freq
(* model probability function: *)
(model_prob freq_map freq_map_lmcat itp_given_cat float_total_freq)))