From ef33f1ab35443af8b182afc3524e76c8a50136a8 Mon Sep 17 00:00:00 2001 From: "prasanth.kolachina" Date: Mon, 19 Sep 2016 08:32:08 +0000 Subject: python examples compatible with both Python 2 and 3 --- .../python/examples/translation_pipeline.py | 718 +++++++++++---------- 1 file changed, 370 insertions(+), 348 deletions(-) (limited to 'src/runtime/python/examples/translation_pipeline.py') diff --git a/src/runtime/python/examples/translation_pipeline.py b/src/runtime/python/examples/translation_pipeline.py index bfd8b5c94..e8dc92583 100644 --- a/src/runtime/python/examples/translation_pipeline.py +++ b/src/runtime/python/examples/translation_pipeline.py @@ -1,6 +1,18 @@ #!/usr/bin/env python +# Python 2 and 3 compatible +from __future__ import print_function + +""" +""" + import argparse, codecs, copy, itertools, logging, math, operator, os, os.path, re, string, sys, time; +try: + from itertools import imap as map; + from itertools import ifilter as filter; +except ImportError: + pass; + import xml.etree.ElementTree as etree; import pgf; @@ -8,392 +20,402 @@ import gf_utils; # http://snipplr.com/view/25657/indent-xml-using-elementtree/ def indentXMLNodes(elem, level=0): - i = "\n" + level*" " - if len(elem): - if not elem.text or not elem.text.strip(): - elem.text = i + " " - if not elem.tail or not elem.tail.strip(): - elem.tail = i - for elem in elem: - indentXMLNodes(elem, level+1) - if not elem.tail or not elem.tail.strip(): - elem.tail = i + i = "\n" + level*" " + if len(elem): + if not elem.text or not elem.text.strip(): + elem.text = i + " " + if not elem.tail or not elem.tail.strip(): + elem.tail = i + for elem in elem: + indentXMLNodes(elem, level+1) + if not elem.tail or not elem.tail.strip(): + elem.tail = i else: - if level and (not elem.tail or not elem.tail.strip()): - elem.tail = i + if level and (not elem.tail or not elem.tail.strip()): + elem.tail = i def readTranslationPipelineOptions(propsfile, default_namespace): - with codecs.open(propsfile, 'r', 'utf-8') as infile: - for line in infile: - if not line.strip(): - continue; - key, value = line.strip().split('=', 1); - key, value = key.strip(), value.strip(); - if key == 'srclang': default_namespace.srclang = value; - elif key == 'tgtlangs': default_namespace.tgtlangs = [val.strip() for val in ','.split(value)]; - elif key == 'input': default_namespace.input = value; - elif key == 'format': default_namespace.format = value; - elif key == 'exp_directory': default_namespace.exp_directory = value; - else: - #print >>sys.stderr, "Unknown option-%s found in props file. Ignoring and proceeding." %(key); - logging.warning("Unknown option-%s found in props file. Ignoring and proceeding." %(key)); - continue; - return default_namespace; + with codecs.open(propsfile, 'r', 'utf-8') as infile: + for line in infile: + if not line.strip(): + continue; + key, value = line.strip().split('=', 1); + key, value = key.strip(), value.strip(); + if key == 'srclang': + default_namespace.srclang = value; + elif key == 'tgtlangs': + default_namespace.tgtlangs = [val.strip() for val in ','.split(value)]; + elif key == 'input': + default_namespace.input = value; + elif key == 'format': + default_namespace.format = value; + elif key == 'exp_directory': + default_namespace.exp_directory = value; + else: + logging.warning("Unknown option-%s found in props file. Ignoring and proceeding." %(key)); + continue; + return default_namespace; def sgmReader(sgmDoc): - root = sgmDoc.getroot(); - for element in root.iter(): - if element.text is not None and element.text.strip(): - yield element.text.strip().encode('utf-8'); + root = sgmDoc.getroot(); + for element in root.iter(): + if element.text is not None and element.text.strip(): + yield element.text.strip().encode('utf-8'); def addToSgm(sgmDoc, strItem): - for node in sgmDoc.findall('.//seg'): - if not node.text.strip(): - strItem = strItem.decode('utf-8'); - node.text = ' %s ' %(strItem if strItem.strip() else 'EMPTY'); - return; - logging.error("No more nodes available for adding content"); - return; + for node in sgmDoc.findall('.//seg'): + if not node.text.strip(): + strItem = strItem.decode('utf-8'); + node.text = ' %s ' %(strItem if strItem.strip() else 'EMPTY'); + return; + logging.error("No more nodes available for adding content"); + return; def sgmWriter(sgmDoc): - indentXMLNodes( sgmDoc.getroot() ); - return etree.tostring(sgmDoc.getroot(), encoding='utf-8', method='xml'); + indentXMLNodes( sgmDoc.getroot() ); + return etree.tostring(sgmDoc.getroot(), encoding='utf-8', method='xml'); def getXMLSkeleton(sgmDoc, tgtlang): - skeletonDoc = copy.deepcopy(sgmDoc); - root = skeletonDoc.getroot(); - root.tag = 'tstset'; - root.attrib['trlang'] = tgtlang[-3:]; - root.find('doc').attrib['sysid'] = tgtlang[:-3]; - for node in root.findall('.//seg'): - node.text = ''; - return skeletonDoc; + skeletonDoc = copy.deepcopy(sgmDoc); + root = skeletonDoc.getroot(); + root.tag = 'tstset'; + root.attrib['trlang'] = tgtlang[-3:]; + root.find('doc').attrib['sysid'] = tgtlang[:-3]; + for node in root.findall('.//seg'): + node.text = ''; + return skeletonDoc; def pipeline_lexer(sentence): - tokens = sentence.strip().split(); - #tokens = filter(None, re.split('(\W+)', sentence.strip())); - n = len(tokens); - idx = len(tokens)-1; - while idx >= 0: - if tokens[idx] in ".?!)": - idx -= 1; - else: - break; - tokens = tokens[:idx+1]; - idx = 0; - while idx < len(tokens): - if tokens[idx] in "'\"(": - idx += 1; - else: - break; - tokens = tokens[idx:]; - return ' '.join(tokens); - -def web_lexer(grammar, lang, sentences): - for instance in sentences: - tokensList = re.split('\s+?', instance.strip()); - for idx, token in enumerate(tokensList): - if not token[0].isupper(): - continue; - lowertoken = tokensList[idx].lower(); - count = 0; - for analysis in grammar.languages[lang].lookupMorpho(lowertoken): - count += 1; - tokensList[idx] = lowertoken if count else token; - for idx, token in enumerate(tokensList): - if token.find('-') == -1: - continue; - count = 0; - for analysis in grammar.languages[lang].lookupMorpho(token): - count += 1; - if count: - continue; - token = tokensList[idx].replace('-', ''); - for analysis in grammar.languages[lang].lookupMorpho(token): - count += 1; - if count: - tokensList[idx] = token; - continue; - token = tokensList[idx].replace('-', ' '); - yield ' '.join(tokensList); + tokens = sentence.strip().split(); + #tokens = filter(None, re.split('(\W+)', sentence.strip())); + n = len(tokens); + idx = len(tokens)-1; + while idx >= 0: + if tokens[idx] in ".?!)": + idx -= 1; + else: + break; + tokens = tokens[:idx+1]; + idx = 0; + while idx < len(tokens): + if tokens[idx] in "'\"(": + idx += 1; + else: + break; + tokens = tokens[idx:]; + return ' '.join(tokens); def clean_gfstrings(sentence): - absFuncName = re.compile('\[[^]]+?\]'); - untranslatedEntries = {}; - for entry in re.findall(absFuncName, sentence): - untranslatedEntries[entry] = untranslatedEntries.setdefault(entry, 0)+1; - for entry in untranslatedEntries: - while untranslatedEntries[entry] > 1: - sentence = sentence.replace(entry, '', 1); - untranslatedEntries[entry] -= 1; - sentence = sentence.replace(entry, ' '.join(entry[1:-1].split('_')[:-1]) if entry.find('_') != -1 else ''); - return ' '.join( sentence.split() ); + absFuncName = re.compile('\[[^]]+?\]'); + untranslatedEntries = {}; + for entry in re.findall(absFuncName, sentence): + untranslatedEntries[entry] = untranslatedEntries.setdefault(entry, 0)+1; + for entry in untranslatedEntries: + while untranslatedEntries[entry] > 1: + sentence = sentence.replace(entry, '', 1); + untranslatedEntries[entry] -= 1; + sentence = sentence.replace(entry, \ + ' '.join(entry[1:-1].split('_')[:-1]) if entry.find('_') != -1 \ + else ''); + return ' '.join( sentence.split() ); def parseNames(grammar, language, sentence): - def callback(lin_idx, start): - moving_start, end, eot = start, len(sentence), True; - if moving_start < end and (not sentence[moving_start].isupper()): - return None; - while moving_start < end: - if sentence[moving_start] in string.whitespace: - eot = True; - elif eot and sentence[moving_start].isupper(): - eot = False; - elif eot and (not sentence[moving_start].isupper()): - end = moving_start-1; - break; - moving_start += 1; - possible_name = sentence[start:end].strip(); - if possible_name: - if language.endswith('Eng') and (possible_name == "I" or possible_name == "I'm"): - return None; - elif language.endswith('Eng') and possible_name.endswith("'s"): - end_idx = possible_name.rfind("'s"); - if end_idx != -1: - possible_name = possible_name[:end_idx].strip(); - end -= 2; - if not possible_name: - return None; - expr, prob = None, None; - for analysis in grammar.languages[language].lookupMorpho(possible_name): - category = grammar.functionType(analysis[0]).cat; - if prob < analysis[-1]: - if category == "PN": - expr, prob = pgf.Expr(analysis[0], []), analysis[-1]; - elif category == "Weekday": - expr, prob = pgf.Expr("weekdayPN", [pgf.Expr(analysis[0], [])]), analysis[-1]; - elif category == "Month": - expr, prob = pgf.Expr("monthPN", [pgf.Expr(analysis[0], [])]), analysis[-1]; - elif category == "Language": - return None; - # generic named entity - if expr == None: - expr = pgf.Expr(possible_name); - expr = pgf.Expr("MkSymb", [expr]); - expr = pgf.Expr("SymbPN", [expr]); - return (expr, 0, end); - return None; - return callback; + def callback(lin_idx, start): + moving_start, end, eot = start, len(sentence), True; + if moving_start < end and (not sentence[moving_start].isupper()): + return None; + while moving_start < end: + if sentence[moving_start] in string.whitespace: + eot = True; + elif eot and sentence[moving_start].isupper(): + eot = False; + elif eot and (not sentence[moving_start].isupper()): + end = moving_start-1; + break; + moving_start += 1; + possible_name = sentence[start:end].strip(); + if possible_name: + if language.endswith('Eng') and \ + (possible_name == "I" or possible_name == "I'm"): + return None; + elif language.endswith('Eng') and possible_name.endswith("'s"): + end_idx = possible_name.rfind("'s"); + if end_idx != -1: + possible_name = possible_name[:end_idx].strip(); + end -= 2; + if not possible_name: + return None; + expr, prob = None, None; + for analysis in grammar.languages[language].lookupMorpho(possible_name): + category = grammar.functionType(analysis[0]).cat; + if prob < analysis[-1]: + if category == "PN": + expr, prob = pgf.Expr(analysis[0], []), analysis[-1]; + elif category == "Weekday": + expr, prob = pgf.Expr("weekdayPN", \ + [pgf.Expr(analysis[0], [])]), analysis[-1]; + elif category == "Month": + expr, prob = pgf.Expr("monthPN", \ + [pgf.Expr(analysis[0], [])]), analysis[-1]; + elif category == "Language": + return None; + # generic named entity + if expr == None: + expr = pgf.Expr(possible_name); + expr = pgf.Expr("MkSymb", [expr]); + expr = pgf.Expr("SymbPN", [expr]); + return (expr, 0, end); + return None; + return callback; def parseUnknown(grammar, language, sentence): - def callback(lin_idx, start): - moving_start, end, eot = start, len(sentence), True; - isNewToken = (moving_start == 0) or (moving_start > 1 and sentence[moving_start-1].isspace()) # -- added to deal with segmentation errors like may => ma_N + Symb y - if moving_start < end and (not sentence[moving_start].isupper()): - while moving_start < end: - if sentence[moving_start] in string.whitespace: - end = moving_start; - break; - moving_start += 1; - unknown_word = sentence[start:end].strip(); - if unknown_word and isNewToken: - count = 0; - for analysis in grammar.languages[language].lookupMorpho(unknown_word): - count += 1; - if not count: - expr = pgf.Expr("MkSymb", [pgf.Expr(unknown_word)]); - return (expr, 0, end); - return None; - return callback; + def callback(lin_idx, start): + moving_start, end, eot = start, len(sentence), True; + # -- added to deal with segmentation errors like may => ma_N + Symb y + isNewToken = (moving_start == 0) or \ + (moving_start > 1 and sentence[moving_start-1].isspace()) + if moving_start < end and (not sentence[moving_start].isupper()): + while moving_start < end: + if sentence[moving_start] in string.whitespace: + end = moving_start; + break; + moving_start += 1; + unknown_word = sentence[start:end].strip(); + if unknown_word and isNewToken: + count = 0; + for analysis in grammar.languages[language].lookupMorpho(unknown_word): + count += 1; + if not count: + expr = pgf.Expr("MkSymb", [pgf.Expr(unknown_word)]); + return (expr, 0, end); + return None; + return callback; -def parseTester(grammar, language): - def callback(lin_idx, sentence, start): - if start < len(sentence): - return (pgf.Expr(sentence[start]), 0, start+1); - return None; - return callback; +def parseTester(grammar, language, sentence): + def callback(lin_idx, start): + if start < len(sentence): + return (pgf.Expr(sentence[start]), 0, start+1); + return None; + return callback; def translateWordsAsChunks(grammar, language, tgtlanguages, word): - parser = grammar.languages[language].parse; - linearizersList = dict((lang, grammar.languages[lang].linearize) for lang in tgtlanguages); - translations = []; - try: - for parseidx, parse in enumerate( parser(word) ): - for lang in tgtlanguages: - trans = linearizersList[lang](parse[1]); - translations.append(( lang, gf_utils.postprocessor(trans.strip() if trans else '') ) ); - break; - except pgf.ParseError, err: - return []; - return translations; + parser = grammar.languages[language].parse; + linearizersList = dict((lang, grammar.languages[lang].linearize) \ + for lang in tgtlanguages); + translations = []; + try: + for parseidx, parse in enumerate( parser(word) ): + for lang in tgtlanguages: + trans = linearizersList[lang](parse[1]); + translations.append((lang, gf_utils.postprocessor(\ + trans.strip() if trans else ''))); + break; + except pgf.ParseError as err: + return []; + return translations; def translateWord(grammar, language, tgtlanguages, word): - possible_translations = translateWordsAsChunks(grammar, language, tgtlanguages, word); - if len(possible_translations): - return possible_translations; - - lowerword = word.lower(); - try: - partialExprList = grammar.languages[language].parse(word, cat='Chunk'); - for expr in partialExprList: - return [(lang, gf_utils.gf_postprocessor( grammar.languages[lang].linearize(expr[1]) )) for lang in tgtlanguages]; - except pgf.ParseError: - morphAnalysis = grammar.languages[language].lookupMorpho(word) + grammar.languages[language].lookupMorpho(lowerword); - for morph in morphAnalysis: - countPositiveLanguages = filter(None, [grammar.languages[lang].hasLinearization(morph[0]) for lang in tgtlanguages]); - if len(countPositiveLanguages) > 0.5*len(tgtlanguages): - return [(lang, gf_utils.gf_postprocessor( grammar.languages[lang].linearize( pgf.readExpr(morph[0]) ) )) for lang in tgtlanguages]; - return [(lang, word) for lang in tgtlanguages]; + possible_translations = translateWordsAsChunks(grammar, language, \ + tgtlanguages, word); + if len(possible_translations): + return possible_translations; + lowerword = word.lower(); + try: + partialExprList = grammar.languages[language].parse(word, cat='Chunk'); + for expr in partialExprList: + return [(lang, gf_utils.gf_postprocessor(\ + grammar.languages[lang].linearize(expr[1]))) \ + for lang in tgtlanguages]; + except pgf.ParseError: + morphAnalysis = grammar.languages[language].lookupMorpho(word) +\ + grammar.languages[language].lookupMorpho(lowerword); + for morph in morphAnalysis: + countPositiveLanguages = list(filter(None, \ + [grammar.languages[lang].hasLinearization(morph[0]) \ + for lang in tgtlanguages])); + if len(countPositiveLanguages) > 0.5*len(tgtlanguages): + return [(lang, \ + gf_utils.gf_postprocessor(grammar.languages[lang].linearize(pgf.readExpr(morph[0])))) \ + for lang in tgtlanguages]; + return [(lang, word) for lang in tgtlanguages]; def translationByLookup(grammar, language, tgtlanguages, sentence): - parser = grammar.languages[language].parse; - linearizersList = dict([(lang, grammar.languages[lang].linearize) for lang in tgtlanguages]); - queue = [sentence.strip().split()]; - transChunks = {}; - while len(queue): - head = queue[0]; - if not len(head): - pass; - elif len(head) == 1 and head[0].strip(): - for lang, wordchoice in translateWord(grammar, language, tgtlanguages, head[0]): - transChunks.setdefault(lang, []).append( gf_utils.postprocessor(wordchoice) ); - else: - try: - for parseidx, parse in enumerate( parser(' '.join(head)) ): - for lang in tgtlanguages: - if linearizersList[lang](parse[1]) == None: - transChunks.setdefault(lang, []).append( ' ' ); - else: - transChunks.setdefault(lang, []).append( gf_utils.postprocessor( linearizersList[lang](parse[1]).strip() ) ); - break; - except pgf.ParseError, err: - #unseenToken = re.findall('"[^"]+?"', err.message)[0][1:-1]; - unseenToken = err.message.strip().split()[-1][1:-1]; - idx = head.index(unseenToken); - queue.insert(1, head[:idx] ); - queue.insert(2, [head[idx]] ); - queue.insert(3, head[idx+1:] ); - del queue[0]; - for lang in tgtlanguages: - yield (lang, ' '.join(transChunks[lang])); + parser = grammar.languages[language].parse; + linearizersList = dict([(lang, grammar.languages[lang].linearize) \ + for lang in tgtlanguages]); + queue = [sentence.strip().split()]; + transChunks = {}; + while len(queue): + head = queue[0]; + if not len(head): + pass; + elif len(head) == 1 and head[0].strip(): + for lang, wordchoice in translateWord(grammar, language, \ + tgtlanguages, head[0]): + transChunks.setdefault(lang, []).append(\ + gf_utils.postprocessor(wordchoice)); + else: + try: + for parseidx, parse in enumerate(parser(' '.join(head))): + for lang in tgtlanguages: + if linearizersList[lang](parse[1]) == None: + transChunks.setdefault(lang, []).append(' '); + else: + transChunks.setdefault(lang, []).append(\ + gf_utils.postprocessor(linearizersList[lang](parse[1]).strip())); + break; + except pgf.ParseError as err: + #unseenToken = re.findall('"[^"]+?"', err.message)[0][1:-1]; + unseenToken = err.message.strip().split()[-1][1:-1]; + idx = head.index(unseenToken); + queue.insert(1, head[:idx] ); + queue.insert(2, [head[idx]] ); + queue.insert(3, head[idx+1:] ); + del queue[0]; + for lang in tgtlanguages: + yield (lang, ' '.join(transChunks[lang])); def pipelineParsing(grammar, language, sentences, K=20): - #buf = [sent for sent in sentences]; - buf, sentences = itertools.tee(sentences, 2); - sentences = itertools.imap(gf_utils.lexer(lang=language), sentences); - parser = gf_utils.getKBestParses(grammar, language, K); - for sent, (time, parsesBlock) in itertools.izip(buf, itertools.imap(parser, sentences)): - yield (sent, parsesBlock); + #buf = [sent for sent in sentences]; + buf, sentences = itertools.tee(sentences, 2); + parser = gf_utils.getKBestParses(grammar, language, K); + for sent, (time, parsesBlock) in zip(buf, map(parser, sentences)): + yield (sent, parsesBlock); def translation_pipeline(props): - if props.propsfile: - props = readTranslationPipelineOptions(props.propsfile, props); - - # UGLY HACK FOR K-best translation: if K-best translation output format is only txt - if props.bestK != 1: - props.format = 'txt'; - - if not os.path.isdir( props.exp_directory ): - logging.info("Creating output directory: %s" %(props.exp_directory)); - os.makedirs(props.exp_directory); + if props.propsfile: + props = readTranslationPipelineOptions(props.propsfile, props); - if not props.srclang: - logging.critical("Mandatory option source-lang missing. Can not determine source language."); - sys.exit(1); + # UGLY HACK FOR K-best translation: if K-best translation output format is only txt + if props.bestK != 1: + props.format = 'txt'; - grammar = pgf.readPGF(props.pgffile); + if not os.path.isdir( props.exp_directory ): + logging.info("Creating output directory: %s" %(props.exp_directory)); + os.makedirs(props.exp_directory); - sourceLanguage = filter(None, [lang if lang[-3:] == props.srclang else '' for lang in grammar.languages.keys()])[0]; - logging.info("Translating from %s" %(sourceLanguage)); + if not props.srclang: + logging.critical("Mandatory option source-lang missing. Can not determine source language."); + sys.exit(1); - if len(props.tgtlangs): - target_langs = props.tgtlangs; - else: - target_langs = filter(None, [lang[-3:] if lang != sourceLanguage else '' for lang in grammar.languages.keys()]); - targetLanguages = filter(None, [lang if lang[-3:] in target_langs else '' for lang in grammar.languages.keys()]); - logging.info("Translating into the following languages: %s" %(','.join(targetLanguages))); + grammar = pgf.readPGF(props.pgffile); + + sourceLanguage = filter(None, [lang if lang[-3:] == props.srclang else '' for lang in grammar.languages.keys()]); + sourceLanguage = list(sourceLanguage)[0]; + logging.info("Translating from %s" %(sourceLanguage)); + + if len(props.tgtlangs): + target_langs = props.tgtlangs; + else: + target_langs = filter(None, [lang[-3:] if lang != sourceLanguage \ + else '' for lang in grammar.languages.keys()]); + targetLanguages = filter(None, [lang if lang[-3:] in target_langs \ + else '' for lang in grammar.languages.keys()]); + targetLanguages = list(targetLanguages); + logging.info("Translating into the following languages: %s" %(','.join(targetLanguages))); + + K = props.bestK if props.bestK != 1 else 20; # by default we look for 20 best parses + bestK = props.bestK; + + if not props.input: + logging.info( "Input file name missing. Reading input from stdin." ); + inputStream = sys.stdin; + outputPrefix = os.getpid(); + else: + inputStream = codecs.open(props.input, 'r'); + outputPrefix = os.path.splitext( os.path.split(props.input)[1] )[0]; - K = props.bestK if props.bestK != 1 else 20; # by default we look for 20 best parses - bestK = props.bestK; - - if not props.input: - logging.info( "Input file name missing. Reading input from stdin." ); - inputStream = sys.stdin; - outputPrefix = os.getpid(); - - else: - inputStream = codecs.open(props.input, 'r'); - outputPrefix = os.path.splitext( os.path.split(props.input)[1] )[0]; + if props.format == 'sgm': + inputDoc = etree.parse(inputStream); + reader = sgmReader; + skeletonDoc = getXMLSkeleton; + addItem = addToSgm; + writer = sgmWriter; + elif props.format == 'txt': + logging.info("Input format is txt. Assuming one-sentence-per-line format."); + inputDoc = inputStream; + reader = lambda X: X; + skeletonDoc = lambda X, lang: list(); + addItem = lambda X, y: list.append(X, y); + writer = lambda X: ('\n'.join(X) if bestK == 1 else \ + '\n'.join(map(gf_utils.printMosesNbestFormat, X))); - if props.format == 'sgm': - inputDoc = etree.parse(inputStream); - reader = sgmReader; - skeletonDoc = getXMLSkeleton; - addItem = addToSgm; - writer = sgmWriter; - elif props.format == 'txt': - logging.info("Input format is txt. Assuming one-sentence-per-line format."); - inputDoc = inputStream; - reader = lambda X: X; - skeletonDoc = lambda X, lang: list(); - addItem = lambda X, y: list.append(X, y); - writer = lambda X: ('\n'.join(X) if bestK == 1 else '\n'.join(map(gf_utils.printMosesNbestFormat, X))); + translationBlocks = {}; + for tgtlang in targetLanguages+['abstract']: + translationBlocks[tgtlang] = skeletonDoc(inputDoc, tgtlang); - translationBlocks = {}; - for tgtlang in targetLanguages+['abstract']: - translationBlocks[tgtlang] = skeletonDoc(inputDoc, tgtlang); - - preprocessor = pipeline_lexer; - postprocessor = clean_gfstrings; - - logging.info( "Parsing text in %s" %(sourceLanguage) ); - # 1. Get Abstract Trees for sentences in source language. - tokenized_sentences = itertools.imap(preprocessor, reader(inputDoc)); - absParses = [parsesBlock for parsesBlock in pipelineParsing(grammar, sourceLanguage, web_lexer(grammar, sourceLanguage, tokenized_sentences), K)]; - - logging.info( "Linearizing into %s" %(','.join(targetLanguages)) ); - # 2. Linearize in all target Languages - for idx, parsesBlock in enumerate( itertools.imap(operator.itemgetter(1), absParses) ): - translationBuffer = {}; - if not len(parsesBlock): - # failed to parse; - # translate using lookup - for tgtlang, translation in translationByLookup(grammar, sourceLanguage, targetLanguages, absParses[idx][0]): - if bestK == 1: - addItem(translationBlocks[tgtlang], postprocessor(translation)); - else: - addItem(translationBlocks[tgtlang], [((0,), postprocessor(translation))]); - addItem(translationBlocks['abstract'], ''); - else: - bestTranslationIdx = 0; - for tgtlang in targetLanguages: - translationBuffer[tgtlang] = gf_utils.getKLinearizations(grammar, tgtlang, [parsesBlock], K=bestK).next(); - if bestK == 1: - for tidx, translation in enumerate(translationBuffer[tgtlang]): - if postprocessor(translation[1]).strip(): - if tidx > bestTranslationIdx: - bestTranslationIdx = tidx; - break; - for tgtlang in targetLanguages: - if bestK == 1: - translation = postprocessor(translationBuffer[tgtlang][bestTranslationIdx][1]) if len(translationBuffer[tgtlang]) > bestTranslationIdx else ((None,), ''); - abstract = str(parsesBlock[bestTranslationIdx][1]); - else: - translation = translationBuffer[tgtlang] if len(translationBuffer[tgtlang]) else []; - abstract = parsesBlock; - addItem(translationBlocks[tgtlang], translation); - addItem(translationBlocks['abstract'], abstract); - - for tgtlang in targetLanguages+['abstract']: - outputFile = os.path.join( props.exp_directory, '%s-%s.%s' %(outputPrefix, tgtlang[-3:] if tgtlang!='abstract' else 'abstract', props.format) ); - logging.info( "Writing translations for %s to %s" %(tgtlang, outputFile) ); - with codecs.open(outputFile, 'w') as outputStream: - print >>outputStream, writer(translationBlocks[tgtlang]); - return; + preprocessor = pipeline_lexer; + postprocessor = clean_gfstrings; + + logging.info( "Parsing text in %s" %(sourceLanguage) ); + # 1. Get Abstract Trees for sentences in source language. + tokenized_sentences = map(preprocessor, reader(inputDoc)); + web_lexer = gf_utils.Lexer('Web', grammar, sourceLanguage).tokenize; + absParses = [parsesBlock for parsesBlock in \ + pipelineParsing(grammar, sourceLanguage, \ + map(web_lexer, tokenized_sentences), K)]; + + logging.info( "Linearizing into %s" %(','.join(targetLanguages)) ); + # 2. Linearize in all target Languages + for idx, parsesBlock in enumerate( map(operator.itemgetter(1), absParses) ): + translationBuffer = {}; + if not len(parsesBlock): + # failed to parse; + # translate using lookup + for tgtlang, translation in translationByLookup(grammar, sourceLanguage,\ + targetLanguages, absParses[idx][0]): + if bestK == 1: + addItem(translationBlocks[tgtlang], postprocessor(translation)); + else: + addItem(translationBlocks[tgtlang], [((0,), postprocessor(translation))]); + addItem(translationBlocks['abstract'], ''); + else: + bestTranslationIdx = 0; + for tgtlang in targetLanguages: + translationBuffer[tgtlang] = next(gf_utils.getKLinearizations(grammar, \ + tgtlang, [parsesBlock], K=bestK)); + if bestK == 1: + for tidx, translation in enumerate(translationBuffer[tgtlang]): + if postprocessor(translation[1]).strip(): + if tidx > bestTranslationIdx: + bestTranslationIdx = tidx; + break; + for tgtlang in targetLanguages: + if bestK == 1: + translation = postprocessor(translationBuffer[tgtlang][bestTranslationIdx][1]) \ + if len(translationBuffer[tgtlang]) > bestTranslationIdx \ + else ((None,), ''); + abstract = str(parsesBlock[bestTranslationIdx][1]); + else: + translation = translationBuffer[tgtlang] \ + if len(translationBuffer[tgtlang]) \ + else []; + abstract = parsesBlock; + addItem(translationBlocks[tgtlang], translation); + addItem(translationBlocks['abstract'], abstract); + + for tgtlang in targetLanguages+['abstract']: + outputFile = os.path.join( props.exp_directory, '%s-%s.%s' %(outputPrefix, tgtlang[-3:] \ + if tgtlang!='abstract' \ + else 'abstract', props.format) ); + logging.info( "Writing translations for %s to %s" %(tgtlang, outputFile) ); + with codecs.open(outputFile, 'w', encoding='utf-8') as outputStream: + print(writer(translationBlocks[tgtlang]), file=outputStream); + return; def cmdLineParser(): - argparser = argparse.ArgumentParser(prog='translation_pipeline.py', description='Run the GF translation pipeline on standard test-sets'); - argparser.add_argument('-g', '--pgf', dest='pgffile', required=True, help='PGF grammar file to run the pipeline'); - argparser.add_argument('-s', '--source', dest='srclang', default='', help='Source language of input sentences'); - argparser.add_argument('-t', '--target', dest='tgtlangs', nargs='*', default=[], help='Target languages to linearize (default is all other languages)'); - argparser.add_argument('-i', '--input', dest='input', default='', help='input file (default will accept STDIN)'); - argparser.add_argument('-e', '--exp', dest='exp_directory', default=os.getcwd(), help='experiement directory to write translation files'); - argparser.add_argument('-f', '--format', dest='format', default='txt', choices=['txt', 'sgm'], help='input file format (output files will be written in the same format)'); - argparser.add_argument('-p', '--props', dest='propsfile', default='', help='properties file for the translation pipeline (specify the above arguments in a file)'); - argparser.add_argument('-K', dest='bestK', type=int, default=1, help='K value for K-best translation'); - return argparser; + argparser = argparse.ArgumentParser(prog='translation_pipeline.py', description='Run the GF translation pipeline on standard test-sets'); + argparser.add_argument('-g', '--pgf', dest='pgffile', required=True, help='PGF grammar file to run the pipeline'); + argparser.add_argument('-s', '--source', dest='srclang', default='', help='Source language of input sentences'); + argparser.add_argument('-t', '--target', dest='tgtlangs', nargs='*', default=[], help='Target languages to linearize (default is all other languages)'); + argparser.add_argument('-i', '--input', dest='input', default='', help='input file (default will accept STDIN)'); + argparser.add_argument('-e', '--exp', dest='exp_directory', default=os.getcwd(), help='experiement directory to write translation files'); + argparser.add_argument('-f', '--format', dest='format', default='txt', choices=['txt', 'sgm'], help='input file format (output files will be written in the same format)'); + argparser.add_argument('-p', '--props', dest='propsfile', default='', help='properties file for the translation pipeline (specify the above arguments in a file)'); + argparser.add_argument('-K', dest='bestK', type=int, default=1, help='K value for K-best translation'); + return argparser; if __name__ == '__main__': - logging.basicConfig(level='INFO'); - pipelineEnv = cmdLineParser().parse_args(sys.argv[1:]); - translation_pipeline(pipelineEnv); + logging.basicConfig(level='INFO'); + pipelineEnv = cmdLineParser().parse_args(sys.argv[1:]); + translation_pipeline(pipelineEnv); -- cgit v1.2.3