morfeusz_builder
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#!/usr/bin/python
# -*- coding:utf-8 -*-
'''
Created on 21 paź 2013
@author: mlenart
'''
import os
import sys
import logging
import codecs
from morfeuszbuilder.fsa import encode
from morfeuszbuilder.fsa import convertinput
from morfeuszbuilder.fsa.fsa import FSA
from morfeuszbuilder.fsa.serializer import Serializer, SerializationMethod
from morfeuszbuilder.tagset.tagset import Tagset
from morfeuszbuilder.segrules import rulesParser
from optparse import OptionParser
def _checkOption(opt, parser, msg):
if opt is None:
print >> sys.stderr, msg
parser.print_help()
exit(1)
def _checkCondition(cond, parser, msg):
if not cond:
print >> sys.stderr, msg
parser.print_help()
exit(1)
def _parseListCallback(option, opt, value, parser):
setattr(parser.values, option.dest, value.split(','))
def _checkOpen(filename, mode):
try:
with open(filename, mode) as _:
pass
if 'w' in mode:
os.remove(filename)
except IOError as ex:
print >> sys.stderr, str(ex)
exit(1)
def _getDictFilename(opts, isGenerator):
typeCode = 's' if isGenerator else 'a'
fname = '%s-%s.dict' % (opts.dictName, typeCode)
return os.path.join(opts.dictDir, fname)
def _parseOptions():
"""
Parses commandline args
"""
parser = OptionParser()
parser.add_option('--input-files',
type='string',
dest='inputFiles',
action='callback',
callback=_parseListCallback,
metavar='FILES',
help='comma separated list of dictionary files')
parser.add_option('--tagset-file',
dest='tagsetFile',
metavar='FILE',
help='path to the file with tagset')
parser.add_option('--segments-file',
dest='segmentsFile',
metavar='FILE',
help='path to the file with segment rules')
#~ parser.add_option('--trim-supneg',
#~ dest='trimSupneg',
#~ default=False,
#~ action='store_true',
#~ help='this option is ignored and exists only for backwards compatibility')
parser.add_option('--dict',
dest='dictName',
help='the name of result dictionary')
parser.add_option('--dict-dir',
dest='dictDir',
metavar='FILE',
default=os.getcwd(),
help='path to output directory (the default is current dir)')
parser.add_option('--only-analyzer',
dest='onlyAnalyzer',
action='store_true',
default=False,
help='Generate dictionary for morphological analysis only (default is both analysis and synthesis)')
parser.add_option('--only-generator',
dest='onlyGenerator',
action='store_true',
default=False,
help='Generate dictionary for morphological synthesis only (default is both analysis and synthesis)')
parser.add_option('--analyzer-cpp',
dest='analyzerCpp',
metavar='FILE',
help='Encode analyzer dictionary data in given c++ file')
parser.add_option('--generator-cpp',
dest='generatorCpp',
metavar='FILE',
help='Encode generator dictionary data in given c++ file')
#~ parser.add_option('--use-arrays',
#~ dest='useArrays',
#~ action='store_true',
#~ default=False,
#~ help='store states reachable by 2 transitions in arrays (should speed up recognition, available only when --serialization-method=V1)')
parser.add_option('--serialization-method',
dest='serializationMethod',
default='V1',
help="FSA serialization method: \
SIMPLE - fixed-length transitions, fastest and weakest compression \
V1 - variable-length transitions, compressed labels - strongest compression \
V2 - format similar to the default in Jan Daciuk's fsa package - variable-length transitions, non-compressed labels - good compression, good speed")
#~ parser.add_option('--visualize',
#~ dest='visualize',
#~ action='store_true',
#~ default=False,
#~ help='visualize result')
parser.add_option('--analyzer-train-file',
dest='analyzerTrainFile',
help='A text file used for analyzer training. Should contain words from some large corpus - one word in each line. Resulting analysis automaton should be faster with proper train file.')
parser.add_option('--generator-train-file',
dest='generatorTrainFile',
help='A text file used for generator training. Should contain words from some large corpus - one word in each line. Resulting synthesis automaton should be faster with proper train file.')
parser.add_option('--debug',
dest='debug',
action='store_true',
default=False,
help='output some debugging info')
#~ parser.add_option('--profile',
#~ dest='profile',
#~ action='store_true',
#~ default=False,
#~ help='show profiling graph (required pycallgraph and graphviz')
opts, args = parser.parse_args()
_checkOption(opts.inputFiles, parser, "Input file is missing")
_checkOption(opts.dictDir, parser, "Output dictionary dir is missing")
_checkCondition((opts.onlyAnalyzer, opts.onlyGenerator) != (True, True),
parser, 'Cannot set both --only-analyzer and --only-generator')
writeCpp = {opts.analyzerCpp, opts.generatorCpp} != {None}
_checkCondition(opts.dictName or writeCpp, parser, "Dictionary name is missing")
_checkCondition(opts.onlyGenerator or opts.analyzerCpp or not writeCpp, parser, "Analyzer .cpp output file path is missing")
_checkCondition(opts.onlyAnalyzer or opts.generatorCpp or not writeCpp, parser, "Generator .cpp output file path is missing")
#~ _checkCondition((opts.dictName, opts.outputCpp) != (None, None),
#~ parser, 'Must set at least one of: --dict-name, --output-cpp')
#~ _checkOption(opts.outputFile, parser, "Output file is missing")
_checkOption(opts.tagsetFile, parser, "Tagset file is missing")
_checkOption(opts.segmentsFile, parser, "Segmentation file is missing")
#~ _checkOption(opts.serializationMethod, parser, "Serialization method file is missing")
#~ _checkExactlyOneOptionSet([opts.analyzer, opts.generator],
#~ parser, 'Must set exactly one FSA type: --analyzer or --generator')
_checkOpen(opts.tagsetFile, 'r')
_checkOpen(opts.segmentsFile, 'r')
for filename in opts.inputFiles:
_checkOpen(filename, 'r')
if not opts.onlyGenerator:
_checkOpen(_getDictFilename(opts, isGenerator=False), 'w')
if not opts.onlyAnalyzer:
_checkOpen(_getDictFilename(opts, isGenerator=True), 'w')
if not opts.serializationMethod.upper() in [SerializationMethod.SIMPLE, SerializationMethod.V1]:
print >> sys.stderr, '--serialization-method must be one of ('+str([SerializationMethod.SIMPLE, SerializationMethod.V1])+')'
parser.print_help()
exit(1)
return opts
def _concatFiles(inputFiles):
# return open(inputFiles[0], 'r')
for inputFile in inputFiles:
if inputFile:
with open(inputFile, 'r') as f:
for line in f:
if line and not ' ' in ''.join(line.split('\t')[:2]):
yield line
else:
logging.warn(u'Ignoring line: "%s" - contains space in text form or lemma' % line.strip().decode('utf8'))
def _readPolimorfInput4Analyzer(inputFiles, tagset, encoder, segmentRulesManager):
logging.info('reading analyzer data from %s', str(inputFiles))
for entry in convertinput.PolimorfConverter4Analyzer(tagset, encoder, 'utf8', segmentRulesManager).convert(_concatFiles(inputFiles)):
yield entry
def _readPolimorfInput4Generator(inputFiles, tagset, encoder, segmentRulesManager):
logging.info('reading generator data from %s', str(inputFiles))
for entry in convertinput.PolimorfConverter4Generator(tagset, encoder, 'utf8', segmentRulesManager).convert(_concatFiles(inputFiles)):
yield entry
def _readTrainData(trainFile):
with codecs.open(trainFile, 'r', 'utf8') as f:
for line in f:
yield line.strip()
def _printStats(fsa):
acceptingNum = 0
sinkNum = 0
arrayNum = 0
for s in fsa.dfs():
if s.isAccepting():
acceptingNum += 1
if s.transitionsNum == 0:
sinkNum += 1
if s.serializeAsArray:
arrayNum += 1
logging.info('states num: '+str(fsa.getStatesNum()))
logging.info('transitions num: '+str(fsa.getTransitionsNum()))
logging.info('accepting states num: '+str(acceptingNum))
logging.info('sink states num: '+str(sinkNum))
logging.info('array states num: '+str(arrayNum))
def buildAnalyzerFromPoliMorf(inputFiles, tagset, segmentRulesManager):
encoder = encode.MorphEncoder()
fsa = FSA(encoder, tagset)
for word, data in _readPolimorfInput4Analyzer(inputFiles, tagset, encoder, segmentRulesManager):
# print word, data
fsa.addEntry(word, data)
del word
del data
fsa.close()
logging.info('------')
logging.info('Analyzer FSA stats:')
logging.info('------')
_printStats(fsa)
return fsa, encoder.qualifiersMap
def buildGeneratorFromPoliMorf(inputFiles, tagset, segmentRulesManager):
encoder = encode.Encoder4Generator()
fsa = FSA(encoder, tagset)
inputData = _readPolimorfInput4Generator(inputFiles, tagset, encoder, segmentRulesManager)
for word, data in inputData:
fsa.addEntry(word, data)
fsa.close()
logging.info('------')
logging.info('Generator FSA stats:')
logging.info('------')
_printStats(fsa)
return fsa, encoder.qualifiersMap
def _doBuildDictionaryPart(opts, isGenerator):
tagset = Tagset(opts.tagsetFile)
rulesParserVersion = rulesParser.RulesParser.PARSE4ANALYZER if not isGenerator else rulesParser.RulesParser.PARSE4GENERATOR
segmentRulesManager = rulesParser.RulesParser(tagset, rulesParserVersion).parse(opts.segmentsFile)
fsa, qualifiersMap = buildAnalyzerFromPoliMorf(opts.inputFiles, tagset, segmentRulesManager)
segmentationRulesData = segmentRulesManager.serialize()
if opts.analyzerTrainFile:
logging.info('training with '+opts.analyzerTrainFile+' ...')
fsa.train(_readTrainData(opts.analyzerTrainFile))
logging.info('done training')
serializer = Serializer.getSerializer(opts.serializationMethod, fsa, tagset, qualifiersMap, segmentationRulesData)
if opts.generatorCpp and isGenerator:
serializer.serialize2CppFile(opts.generatorCpp, isGenerator=isGenerator)
if opts.analyzerCpp and not isGenerator:
serializer.serialize2CppFile(opts.analyzerCpp, isGenerator=isGenerator)
if opts.dictDir:
serializer.serialize2BinaryFile(_getDictFilename(opts, isGenerator=isGenerator), isGenerator=isGenerator)
logging.info('total FSA size (in bytes): '+str(fsa.initialState.reverseOffset))
def main(opts):
if opts.debug:
logging.basicConfig(level=logging.DEBUG)
else:
logging.basicConfig(level=logging.INFO)
logging.info('reading tagset from %s', opts.tagsetFile)
tagset = Tagset(opts.tagsetFile)
if not opts.onlyGenerator:
_doBuildDictionaryPart(opts, isGenerator=False)
if not opts.onlyGenerator:
_doBuildDictionaryPart(opts, isGenerator=True)
if __name__ == '__main__':
import os
opts = _parseOptions()
#~ try:
main(opts)
#~ except Exception as ex:
#~ print >> sys.stderr, u'Building dictionary file failed:', unicode(ex).encode('utf8'), 'type of error:', type(ex)
#~ sys.exit(1)
#~ finally:
#~ pass