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author | alvations <alvations@gmail.com> | 2018-04-10 19:27:37 +0300 |
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committer | GitHub <noreply@github.com> | 2018-04-10 19:27:37 +0300 |
commit | 686034488aad6ccee564e262aef9e07a85c1b784 (patch) | |
tree | 9bd26e08f1cc0002fed5c0206f19b77ad06dacc7 | |
parent | ae7aa6a9d25be49ab4c15ec68515e74490af399b (diff) |
Contributing MosesTokenizer from NLTK to Mosesalvations-python-tokenizer
-rw-r--r-- | scripts/tokenizer/python-tokenizer/moses.py | 627 |
1 files changed, 627 insertions, 0 deletions
diff --git a/scripts/tokenizer/python-tokenizer/moses.py b/scripts/tokenizer/python-tokenizer/moses.py new file mode 100644 index 000000000..8424a95a1 --- /dev/null +++ b/scripts/tokenizer/python-tokenizer/moses.py @@ -0,0 +1,627 @@ +# -*- coding: utf-8 -*- +# +# This file is part of moses. Its use is licensed under the GNU Lesser General +# Public License version 2.1 or, at your option, any later version. + +# + +""" +Note: This Python (de-)tokenizer requires the following dependencies: + +To Install +==== + +$ pip install -U six nltk +$ python -m nltk.downloader perluniprops +$ python -m nltk.downloader nonbreaking_prefixes + +""" +from __future__ import print_function +import re + +from six import text_type + +from nltk.tokenize.api import TokenizerI +from nltk.tokenize.util import is_cjk +from nltk.corpus import perluniprops, nonbreaking_prefixes + + +class MosesTokenizer(TokenizerI): + """ + This is a Python port of the Moses Tokenizer from + https://github.com/moses-smt/mosesdecoder/blob/master/scripts/tokenizer/tokenizer.perl + >>> tokenizer = MosesTokenizer() + >>> text = u'This, is a sentence with weird\xbb symbols\u2026 appearing everywhere\xbf' + >>> expected_tokenized = u'This , is a sentence with weird \xbb symbols \u2026 appearing everywhere \xbf' + >>> tokenized_text = tokenizer.tokenize(text, return_str=True) + >>> tokenized_text == expected_tokenized + True + >>> tokenizer.tokenize(text) == [u'This', u',', u'is', u'a', u'sentence', u'with', u'weird', u'\xbb', u'symbols', u'\u2026', u'appearing', u'everywhere', u'\xbf'] + True + The nonbreaking prefixes should tokenize the final fullstop. + >>> m = MosesTokenizer() + >>> m.tokenize('abc def.') + [u'abc', u'def', u'.'] + The nonbreaking prefixes should deal the situation when numeric only prefix is the last token. + In below example, "pp" is the last element, and there is no digit after it. + >>> m = MosesTokenizer() + >>> m.tokenize('2016, pp.') + [u'2016', u',', u'pp', u'.'] + + >>> sent = "This ain't funny. It's actually hillarious, yet double Ls. | [] < > [ ] & You're gonna shake it off? Don't?" + >>> m.tokenize(sent, escape=True) + ['This', 'ain', ''t', 'funny', '.', 'It', ''s', 'actually', 'hillarious', ',', 'yet', 'double', 'Ls', '.', '|', '[', ']', '<', '>', '[', ']', '&', 'You', ''re', 'gonna', 'shake', 'it', 'off', '?', 'Don', ''t', '?'] + >>> m.tokenize(sent, escape=False) + ['This', 'ain', "'t", 'funny', '.', 'It', "'s", 'actually', 'hillarious', ',', 'yet', 'double', 'Ls', '.', '|', '[', ']', '<', '>', '[', ']', '&', 'You', "'re", 'gonna', 'shake', 'it', 'off', '?', 'Don', "'t", '?'] + """ + + # Perl Unicode Properties character sets. + IsN = text_type(''.join(perluniprops.chars('IsN'))) + IsAlnum = text_type(''.join(perluniprops.chars('IsAlnum'))) + IsSc = text_type(''.join(perluniprops.chars('IsSc'))) + IsSo = text_type(''.join(perluniprops.chars('IsSo'))) + IsAlpha = text_type(''.join(perluniprops.chars('IsAlpha'))) + IsLower = text_type(''.join(perluniprops.chars('IsLower'))) + + # Remove ASCII junk. + DEDUPLICATE_SPACE = r'\s+', r' ' + ASCII_JUNK = r'[\000-\037]', r'' + + # Neurotic Perl heading space, multi-space and trailing space chomp. + # These regexes are kept for reference purposes and shouldn't be used!! + MID_STRIP = r" +", r" " # Use DEDUPLICATE_SPACE instead. + LEFT_STRIP = r"^ ", r"" # Uses text.lstrip() instead. + RIGHT_STRIP = r" $", r"" # Uses text.rstrip() instead. + + # Pad all "other" special characters not in IsAlnum. + PAD_NOT_ISALNUM = u'([^{}\s\.\'\`\,\-])'.format(IsAlnum), r' \1 ' + + # Splits all hypens (regardless of circumstances), e.g. + # 'foo -- bar' -> 'foo @-@ @-@ bar' , 'foo-bar' -> 'foo @-@ bar' + AGGRESSIVE_HYPHEN_SPLIT = u'([{alphanum}])\-(?=[{alphanum}])'.format(alphanum=IsAlnum), r'\1 \@-\@ ' + + # Make multi-dots stay together. + REPLACE_DOT_WITH_LITERALSTRING_1 = r'\.([\.]+)', ' DOTMULTI\1' + REPLACE_DOT_WITH_LITERALSTRING_2 = r'DOTMULTI\.([^\.])', 'DOTDOTMULTI \1' + REPLACE_DOT_WITH_LITERALSTRING_3 = r'DOTMULTI\.', 'DOTDOTMULTI' + + # Separate out "," except if within numbers (5,300) + # e.g. A,B,C,D,E > A , B,C , D,E + # First application uses up B so rule can't see B,C + # two-step version here may create extra spaces but these are removed later + # will also space digit,letter or letter,digit forms (redundant with next section) + COMMA_SEPARATE_1 = u'([^{}])[,]'.format(IsN), r'\1 , ' + COMMA_SEPARATE_2 = u'[,]([^{}])'.format(IsN), r' , \1' + + # Attempt to get correct directional quotes. + DIRECTIONAL_QUOTE_1 = r'^``', r'`` ' + DIRECTIONAL_QUOTE_2 = r'^"', r'`` ' + DIRECTIONAL_QUOTE_3 = r'^`([^`])', r'` \1' + DIRECTIONAL_QUOTE_4 = r"^'", r'` ' + DIRECTIONAL_QUOTE_5 = r'([ ([{<])"', r'\1 `` ' + DIRECTIONAL_QUOTE_6 = r'([ ([{<])``', r'\1 `` ' + DIRECTIONAL_QUOTE_7 = r'([ ([{<])`([^`])', r'\1 ` \2' + DIRECTIONAL_QUOTE_8 = r"([ ([{<])'", r'\1 ` ' + + # Replace ... with _ELLIPSIS_ + REPLACE_ELLIPSIS = r'\.\.\.', r' _ELLIPSIS_ ' + # Restore _ELLIPSIS_ with ... + RESTORE_ELLIPSIS = r'_ELLIPSIS_', r'\.\.\.' + + # Pad , with tailing space except if within numbers, e.g. 5,300 + # These are used in nltk.tokenize.moses.penn_tokenize() + COMMA_1 = u'([^{numbers}])[,]([^{numbers}])'.format(numbers=IsN), r'\1 , \2' + COMMA_2 = u'([{numbers}])[,]([^{numbers}])'.format(numbers=IsN), r'\1 , \2' + COMMA_3 = u'([^{numbers}])[,]([{numbers}])'.format(numbers=IsN), r'\1 , \2' + + # Pad unicode symbols with spaces. + SYMBOLS = u'([;:@#\$%&{}{}])'.format(IsSc, IsSo), r' \1 ' + + # Separate out intra-token slashes. PTB tokenization doesn't do this, so + # the tokens should be merged prior to parsing with a PTB-trained parser. + # e.g. "and/or" -> "and @/@ or" + INTRATOKEN_SLASHES = u'([{alphanum}])\/([{alphanum}])'.format(alphanum=IsAlnum), r'$1 \@\/\@ $2' + + # Splits final period at end of string. + FINAL_PERIOD = r"""([^.])([.])([\]\)}>"']*) ?$""", r'\1 \2\3' + # Pad all question marks and exclamation marks with spaces. + PAD_QUESTION_EXCLAMATION_MARK = r'([?!])', r' \1 ' + + # Handles parentheses, brackets and converts them to PTB symbols. + PAD_PARENTHESIS = r'([\]\[\(\){}<>])', r' \1 ' + CONVERT_PARENTHESIS_1 = r'\(', '-LRB-' + CONVERT_PARENTHESIS_2 = r'\)', '-RRB-' + CONVERT_PARENTHESIS_3 = r'\[', '-LSB-' + CONVERT_PARENTHESIS_4 = r'\]', '-RSB-' + CONVERT_PARENTHESIS_5 = r'\{', '-LCB-' + CONVERT_PARENTHESIS_6 = r'\}', '-RCB-' + + # Pads double dashes with spaces. + PAD_DOUBLE_DASHES = r'--', ' -- ' + + # Adds spaces to start and end of string to simplify further regexps. + PAD_START_OF_STR = r'^', ' ' + PAD_END_OF_STR = r'$', ' ' + + # Converts double quotes to two single quotes and pad with spaces. + CONVERT_DOUBLE_TO_SINGLE_QUOTES = r'"', " '' " + # Handles single quote in possessives or close-single-quote. + HANDLES_SINGLE_QUOTES = r"([^'])' ", r"\1 ' " + + # Pad apostrophe in possessive or close-single-quote. + APOSTROPHE = r"([^'])'", r"\1 ' " + + # Prepend space on contraction apostrophe. + CONTRACTION_1 = r"'([sSmMdD]) ", r" '\1 " + CONTRACTION_2 = r"'ll ", r" 'll " + CONTRACTION_3 = r"'re ", r" 're " + CONTRACTION_4 = r"'ve ", r" 've " + CONTRACTION_5 = r"n't ", r" n't " + CONTRACTION_6 = r"'LL ", r" 'LL " + CONTRACTION_7 = r"'RE ", r" 'RE " + CONTRACTION_8 = r"'VE ", r" 'VE " + CONTRACTION_9 = r"N'T ", r" N'T " + + # Informal Contractions. + CONTRACTION_10 = r" ([Cc])annot ", r" \1an not " + CONTRACTION_11 = r" ([Dd])'ye ", r" \1' ye " + CONTRACTION_12 = r" ([Gg])imme ", r" \1im me " + CONTRACTION_13 = r" ([Gg])onna ", r" \1on na " + CONTRACTION_14 = r" ([Gg])otta ", r" \1ot ta " + CONTRACTION_15 = r" ([Ll])emme ", r" \1em me " + CONTRACTION_16 = r" ([Mm])ore$text =~ s='n ", r" \1ore 'n " + CONTRACTION_17 = r" '([Tt])is ", r" '\1 is " + CONTRACTION_18 = r" '([Tt])was ", r" '\1 was " + CONTRACTION_19 = r" ([Ww])anna ", r" \1an na " + + # Clean out extra spaces + CLEAN_EXTRA_SPACE_1 = r' *', r' ' + CLEAN_EXTRA_SPACE_2 = r'^ *', r'' + CLEAN_EXTRA_SPACE_3 = r' *$', r'' + + # Neurotic Perl regexes to escape special characters. + # These XML escaping regexes are kept such that tokens generated from + # NLTK's implementation is consistent with Moses' tokenizer's output. + # Outside of the MosesTokenizer function, it's strongly encouraged to use + # nltk.tokenize.util.xml_escape() function instead. + ESCAPE_AMPERSAND = r'&', r'&' + ESCAPE_PIPE = r'\|', r'|' + ESCAPE_LEFT_ANGLE_BRACKET = r'<', r'<' + ESCAPE_RIGHT_ANGLE_BRACKET = r'>', r'>' + ESCAPE_SINGLE_QUOTE = r"\'", r"'" + ESCAPE_DOUBLE_QUOTE = r'\"', r'"' + ESCAPE_LEFT_SQUARE_BRACKET = r"\[", r"[" + ESCAPE_RIGHT_SQUARE_BRACKET = r"]", r"]" + + EN_SPECIFIC_1 = u"([^{alpha}])[']([^{alpha}])".format(alpha=IsAlpha), r"\1 ' \2" + EN_SPECIFIC_2 = u"([^{alpha}{isn}])[']([{alpha}])".format(alpha=IsAlpha, isn=IsN), r"\1 ' \2" + EN_SPECIFIC_3 = u"([{alpha}])[']([^{alpha}])".format(alpha=IsAlpha), r"\1 ' \2" + EN_SPECIFIC_4 = u"([{alpha}])[']([{alpha}])".format(alpha=IsAlpha), r"\1 '\2" + EN_SPECIFIC_5 = u"([{isn}])[']([s])".format(isn=IsN), r"\1 '\2" + + ENGLISH_SPECIFIC_APOSTROPHE = [EN_SPECIFIC_1, EN_SPECIFIC_2, EN_SPECIFIC_3, + EN_SPECIFIC_4, EN_SPECIFIC_5] + + FR_IT_SPECIFIC_1 = u"([^{alpha}])[']([^{alpha}])".format(alpha=IsAlpha), r"\1 ' \2" + FR_IT_SPECIFIC_2 = u"([^{alpha}])[']([{alpha}])".format(alpha=IsAlpha), r"\1 ' \2" + FR_IT_SPECIFIC_3 = u"([{alpha}])[']([^{alpha}])".format(alpha=IsAlpha), r"\1 ' \2" + FR_IT_SPECIFIC_4 = u"([{alpha}])[']([{alpha}])".format(alpha=IsAlpha), r"\1' \2" + + FR_IT_SPECIFIC_APOSTROPHE = [FR_IT_SPECIFIC_1, FR_IT_SPECIFIC_2, + FR_IT_SPECIFIC_3, FR_IT_SPECIFIC_4] + + NON_SPECIFIC_APOSTROPHE = r"\'", r" \' " + + MOSES_PENN_REGEXES_1 = [DEDUPLICATE_SPACE, ASCII_JUNK, DIRECTIONAL_QUOTE_1, + DIRECTIONAL_QUOTE_2, DIRECTIONAL_QUOTE_3, + DIRECTIONAL_QUOTE_4, DIRECTIONAL_QUOTE_5, + DIRECTIONAL_QUOTE_6, DIRECTIONAL_QUOTE_7, + DIRECTIONAL_QUOTE_8, REPLACE_ELLIPSIS, COMMA_1, + COMMA_2, COMMA_3, SYMBOLS, INTRATOKEN_SLASHES, + FINAL_PERIOD, PAD_QUESTION_EXCLAMATION_MARK, + PAD_PARENTHESIS, CONVERT_PARENTHESIS_1, + CONVERT_PARENTHESIS_2, CONVERT_PARENTHESIS_3, + CONVERT_PARENTHESIS_4, CONVERT_PARENTHESIS_5, + CONVERT_PARENTHESIS_6, PAD_DOUBLE_DASHES, + PAD_START_OF_STR, PAD_END_OF_STR, + CONVERT_DOUBLE_TO_SINGLE_QUOTES, + HANDLES_SINGLE_QUOTES, APOSTROPHE, CONTRACTION_1, + CONTRACTION_2, CONTRACTION_3, CONTRACTION_4, + CONTRACTION_5, CONTRACTION_6, CONTRACTION_7, + CONTRACTION_8, CONTRACTION_9, CONTRACTION_10, + CONTRACTION_11, CONTRACTION_12, CONTRACTION_13, + CONTRACTION_14, CONTRACTION_15, CONTRACTION_16, + CONTRACTION_17, CONTRACTION_18, CONTRACTION_19] + + MOSES_PENN_REGEXES_2 = [RESTORE_ELLIPSIS, CLEAN_EXTRA_SPACE_1, + CLEAN_EXTRA_SPACE_2, CLEAN_EXTRA_SPACE_3, + ESCAPE_AMPERSAND, ESCAPE_PIPE, + ESCAPE_LEFT_ANGLE_BRACKET, ESCAPE_RIGHT_ANGLE_BRACKET, + ESCAPE_SINGLE_QUOTE, ESCAPE_DOUBLE_QUOTE] + + MOSES_ESCAPE_XML_REGEXES = [ESCAPE_AMPERSAND, ESCAPE_PIPE, + ESCAPE_LEFT_ANGLE_BRACKET, + ESCAPE_RIGHT_ANGLE_BRACKET, + ESCAPE_SINGLE_QUOTE, ESCAPE_DOUBLE_QUOTE, + ESCAPE_LEFT_SQUARE_BRACKET, + ESCAPE_RIGHT_SQUARE_BRACKET] + + def __init__(self, lang='en'): + # Initialize the object. + super(MosesTokenizer, self).__init__() + self.lang = lang + # Initialize the language specific nonbreaking prefixes. + self.NONBREAKING_PREFIXES = [_nbp.strip() for _nbp in nonbreaking_prefixes.words(lang)] + self.NUMERIC_ONLY_PREFIXES = [w.rpartition(' ')[0] for w in + self.NONBREAKING_PREFIXES if + self.has_numeric_only(w)] + + def replace_multidots(self, text): + text = re.sub(r'\.([\.]+)', r' DOTMULTI\1', text) + while re.search(r'DOTMULTI\.', text): + text = re.sub(r'DOTMULTI\.([^\.])', r'DOTDOTMULTI \1', text) + text = re.sub(r'DOTMULTI\.', 'DOTDOTMULTI', text) + return text + + def restore_multidots(self, text): + while re.search(r'DOTDOTMULTI', text): + text = re.sub(r'DOTDOTMULTI', r'DOTMULTI.', text) + return re.sub(r'DOTMULTI', r'.', text) + + def islower(self, text): + return not set(text).difference(set(self.IsLower)) + + def isalpha(self, text): + return not set(text).difference(set(self.IsAlpha)) + + def has_numeric_only(self, text): + return bool(re.search(r'(.*)[\s]+(\#NUMERIC_ONLY\#)', text)) + + def handles_nonbreaking_prefixes(self, text): + # Splits the text into tokens to check for nonbreaking prefixes. + tokens = text.split() + num_tokens = len(tokens) + for i, token in enumerate(tokens): + # Checks if token ends with a fullstop. + token_ends_with_period = re.search(r'^(\S+)\.$', token) + if token_ends_with_period: + prefix = token_ends_with_period.group(1) + # Checks for 3 conditions if + # i. the prefix contains a fullstop and + # any char in the prefix is within the IsAlpha charset + # ii. the prefix is in the list of nonbreaking prefixes and + # does not contain #NUMERIC_ONLY# + # iii. the token is not the last token and that the + # next token contains all lowercase. + if (('.' in prefix and self.isalpha(prefix)) or + (prefix in self.NONBREAKING_PREFIXES and + prefix not in self.NUMERIC_ONLY_PREFIXES) or + (i != num_tokens - 1 and self.islower(tokens[i + 1]))): + pass # No change to the token. + # Checks if the prefix is in NUMERIC_ONLY_PREFIXES + # and ensures that the next word is a digit. + elif (prefix in self.NUMERIC_ONLY_PREFIXES and + (i + 1) < num_tokens and + re.search(r'^[0-9]+', tokens[i + 1])): + pass # No change to the token. + else: # Otherwise, adds a space after the tokens before a dot. + tokens[i] = prefix + ' .' + return " ".join(tokens) # Stitch the tokens back. + + def escape_xml(self, text): + for regexp, substitution in self.MOSES_ESCAPE_XML_REGEXES: + text = re.sub(regexp, substitution, text) + return text + + def penn_tokenize(self, text, return_str=False): + """ + This is a Python port of the Penn treebank tokenizer adapted by the Moses + machine translation community. It's a little different from the + version in nltk.tokenize.treebank. + """ + # Converts input string into unicode. + text = text_type(text) + # Perform a chain of regex substituitions using MOSES_PENN_REGEXES_1 + for regexp, substitution in self.MOSES_PENN_REGEXES_1: + text = re.sub(regexp, substitution, text) + # Handles nonbreaking prefixes. + text = self.handles_nonbreaking_prefixes(text) + # Restore ellipsis, clean extra spaces, escape XML symbols. + for regexp, substitution in self.MOSES_PENN_REGEXES_2: + text = re.sub(regexp, substitution, text) + return text if return_str else text.split() + + def tokenize(self, text, aggressive_dash_splits=False, return_str=False, escape=True): + """ + Python port of the Moses tokenizer. + >>> mtokenizer = MosesTokenizer() + >>> text = u'Is 9.5 or 525,600 my favorite number?' + >>> print (mtokenizer.tokenize(text, return_str=True)) + Is 9.5 or 525,600 my favorite number ? + >>> text = u'The https://github.com/jonsafari/tok-tok/blob/master/tok-tok.pl is a website with/and/or slashes and sort of weird : things' + >>> print (mtokenizer.tokenize(text, return_str=True)) + The https : / / github.com / jonsafari / tok-tok / blob / master / tok-tok.pl is a website with / and / or slashes and sort of weird : things + >>> text = u'This, is a sentence with weird\xbb symbols\u2026 appearing everywhere\xbf' + >>> expected = u'This , is a sentence with weird \xbb symbols \u2026 appearing everywhere \xbf' + >>> assert mtokenizer.tokenize(text, return_str=True) == expected + :param tokens: A single string, i.e. sentence text. + :type tokens: str + :param aggressive_dash_splits: Option to trigger dash split rules . + :type aggressive_dash_splits: bool + """ + # Converts input string into unicode. + text = text_type(text) + + # De-duplicate spaces and clean ASCII junk + for regexp, substitution in [self.DEDUPLICATE_SPACE, self.ASCII_JUNK]: + text = re.sub(regexp, substitution, text) + # Strips heading and trailing spaces. + text = text.strip() + # Separate special characters outside of IsAlnum character set. + regexp, substitution = self.PAD_NOT_ISALNUM + text = re.sub(regexp, substitution, text) + # Aggressively splits dashes + if aggressive_dash_splits: + regexp, substitution = self.AGGRESSIVE_HYPHEN_SPLIT + text = re.sub(regexp, substitution, text) + # Replaces multidots with "DOTDOTMULTI" literal strings. + text = self.replace_multidots(text) + # Separate out "," except if within numbers e.g. 5,300 + for regexp, substitution in [self.COMMA_SEPARATE_1, self.COMMA_SEPARATE_2]: + text = re.sub(regexp, substitution, text) + + # (Language-specific) apostrophe tokenization. + if self.lang == 'en': + for regexp, substitution in self.ENGLISH_SPECIFIC_APOSTROPHE: + text = re.sub(regexp, substitution, text) + elif self.lang in ['fr', 'it']: + for regexp, substitution in self.FR_IT_SPECIFIC_APOSTROPHE: + text = re.sub(regexp, substitution, text) + else: + regexp, substitution = self.NON_SPECIFIC_APOSTROPHE + text = re.sub(regexp, substitution, text) + + # Handles nonbreaking prefixes. + text = self.handles_nonbreaking_prefixes(text) + # Cleans up extraneous spaces. + regexp, substitution = self.DEDUPLICATE_SPACE + text = re.sub(regexp, substitution, text).strip() + # Restore multidots. + text = self.restore_multidots(text) + if escape: + # Escape XML symbols. + text = self.escape_xml(text) + + return text if return_str else text.split() + + +class MosesDetokenizer(TokenizerI): + """ + This is a Python port of the Moses Detokenizer from + https://github.com/moses-smt/mosesdecoder/blob/master/scripts/tokenizer/detokenizer.perl + >>> tokenizer = MosesTokenizer() + >>> text = u'This, is a sentence with weird\xbb symbols\u2026 appearing everywhere\xbf' + >>> expected_tokenized = u'This , is a sentence with weird \xbb symbols \u2026 appearing everywhere \xbf' + >>> tokenized_text = tokenizer.tokenize(text, return_str=True) + >>> tokenized_text == expected_tokenized + True + >>> detokenizer = MosesDetokenizer() + >>> expected_detokenized = u'This, is a sentence with weird \xbb symbols \u2026 appearing everywhere \xbf' + >>> detokenized_text = detokenizer.detokenize(tokenized_text.split(), return_str=True) + >>> detokenized_text == expected_detokenized + True + >>> from nltk.tokenize.moses import MosesTokenizer, MosesDetokenizer + >>> t, d = MosesTokenizer(), MosesDetokenizer() + >>> sent = "This ain't funny. It's actually hillarious, yet double Ls. | [] < > [ ] & You're gonna shake it off? Don't?" + >>> expected_tokens = [u'This', u'ain', u''t', u'funny', u'.', u'It', u''s', u'actually', u'hillarious', u',', u'yet', u'double', u'Ls', u'.', u'|', u'[', u']', u'<', u'>', u'[', u']', u'&', u'You', u''re', u'gonna', u'shake', u'it', u'off', u'?', u'Don', u''t', u'?'] + >>> expected_detokens = "This ain't funny. It's actually hillarious, yet double Ls. | [] < > [] & You're gonna shake it off? Don't?" + >>> tokens = t.tokenize(sent) + >>> tokens == expected_tokens + True + >>> detokens = d.detokenize(tokens) + >>> " ".join(detokens) == expected_detokens + True + + >>> d.detokenize(expected_tokens, unescape=True) + ['This', "ain't", 'funny.', "It's", 'actually', 'hillarious,', 'yet', 'double', 'Ls.', '|', '[]', '<', '>', '[]', '&', "You're", 'gonna', 'shake', 'it', 'off?', "Don't?"] + >>> d.detokenize(expected_tokens, unescape=False) + ['This', 'ain', ''t', 'funny.', 'It', ''s', 'actually', 'hillarious,', 'yet', 'double', 'Ls.', '|', '[', ']', '<', '>', '[', ']', '&', 'You', ''re', 'gonna', 'shake', 'it', 'off?', 'Don', ''t?'] + """ + # Currency Symbols. + IsAlnum = text_type(''.join(perluniprops.chars('IsAlnum'))) + IsAlpha = text_type(''.join(perluniprops.chars('IsAlpha'))) + IsSc = text_type(''.join(perluniprops.chars('IsSc'))) + + AGGRESSIVE_HYPHEN_SPLIT = r' \@\-\@ ', r'-' + + # Merge multiple spaces. + ONE_SPACE = re.compile(r' {2,}'), ' ' + + # Unescape special characters. + UNESCAPE_FACTOR_SEPARATOR = r'|', r'|' + UNESCAPE_LEFT_ANGLE_BRACKET = r'<', r'<' + UNESCAPE_RIGHT_ANGLE_BRACKET = r'>', r'>' + UNESCAPE_DOUBLE_QUOTE = r'"', r'"' + UNESCAPE_SINGLE_QUOTE = r"'", r"'" + UNESCAPE_SYNTAX_NONTERMINAL_LEFT = r'[', r'[' + UNESCAPE_SYNTAX_NONTERMINAL_RIGHT = r']', r']' + UNESCAPE_AMPERSAND = r'&', r'&' + # The legacy regexes are used to support outputs from older Moses versions. + UNESCAPE_FACTOR_SEPARATOR_LEGACY = r'&bar;', r'|' + UNESCAPE_SYNTAX_NONTERMINAL_LEFT_LEGACY = r'&bra;', r'[' + UNESCAPE_SYNTAX_NONTERMINAL_RIGHT_LEGACY = r'&ket;', r']' + + MOSES_UNESCAPE_XML_REGEXES = [UNESCAPE_FACTOR_SEPARATOR_LEGACY, + UNESCAPE_FACTOR_SEPARATOR, UNESCAPE_LEFT_ANGLE_BRACKET, + UNESCAPE_RIGHT_ANGLE_BRACKET, + UNESCAPE_SYNTAX_NONTERMINAL_LEFT_LEGACY, + UNESCAPE_SYNTAX_NONTERMINAL_RIGHT_LEGACY, + UNESCAPE_DOUBLE_QUOTE, UNESCAPE_SINGLE_QUOTE, + UNESCAPE_SYNTAX_NONTERMINAL_LEFT, + UNESCAPE_SYNTAX_NONTERMINAL_RIGHT, UNESCAPE_AMPERSAND] + + FINNISH_MORPHSET_1 = [u'N', u'n', u'A', u'a', u'\xc4', u'\xe4', u'ssa', + u'Ssa', u'ss\xe4', u'Ss\xe4', u'sta', u'st\xe4', + u'Sta', u'St\xe4', u'hun', u'Hun', u'hyn', u'Hyn', + u'han', u'Han', u'h\xe4n', u'H\xe4n', u'h\xf6n', + u'H\xf6n', u'un', u'Un', u'yn', u'Yn', u'an', u'An', + u'\xe4n', u'\xc4n', u'\xf6n', u'\xd6n', u'seen', + u'Seen', u'lla', u'Lla', u'll\xe4', u'Ll\xe4', u'lta', + u'Lta', u'lt\xe4', u'Lt\xe4', u'lle', u'Lle', u'ksi', + u'Ksi', u'kse', u'Kse', u'tta', u'Tta', u'ine', u'Ine'] + + FINNISH_MORPHSET_2 = [u'ni', u'si', u'mme', u'nne', u'nsa'] + + FINNISH_MORPHSET_3 = [u'ko', u'k\xf6', u'han', u'h\xe4n', u'pa', u'p\xe4', + u'kaan', u'k\xe4\xe4n', u'kin'] + + FINNISH_REGEX = u'^({})({})?({})$'.format(text_type('|'.join(FINNISH_MORPHSET_1)), + text_type('|'.join(FINNISH_MORPHSET_2)), + text_type('|'.join(FINNISH_MORPHSET_3))) + + def __init__(self, lang='en'): + super(MosesDetokenizer, self).__init__() + self.lang = lang + + def unescape_xml(self, text): + for regexp, substitution in self.MOSES_UNESCAPE_XML_REGEXES: + text = re.sub(regexp, substitution, text) + return text + + def tokenize(self, tokens, return_str=False, unescape=True): + """ + Python port of the Moses detokenizer. + :param tokens: A list of strings, i.e. tokenized text. + :type tokens: list(str) + :return: str + """ + # Convert the list of tokens into a string and pad it with spaces. + text = u" {} ".format(" ".join(tokens)) + # Converts input string into unicode. + text = text_type(text) + # Detokenize the agressive hyphen split. + regexp, substitution = self.AGGRESSIVE_HYPHEN_SPLIT + text = re.sub(regexp, substitution, text) + if unescape: + # Unescape the XML symbols. + text = self.unescape_xml(text) + # Keep track of no. of quotation marks. + quote_counts = {u"'": 0, u'"': 0, u"``": 0, u"`": 0, u"''": 0} + + # The *prepend_space* variable is used to control the "effects" of + # detokenization as the function loops through the list of tokens and + # changes the *prepend_space* accordingly as it sequentially checks + # through the language specific and language independent conditions. + prepend_space = " " + detokenized_text = "" + tokens = text.split() + # Iterate through every token and apply language specific detokenization rule(s). + for i, token in enumerate(iter(tokens)): + # Check if the first char is CJK. + if is_cjk(token[0]): + # Perform left shift if this is a second consecutive CJK word. + if i > 0 and is_cjk(token[-1]): + detokenized_text += token + # But do nothing special if this is a CJK word that doesn't follow a CJK word + else: + detokenized_text += prepend_space + token + prepend_space = " " + + # If it's a currency symbol. + elif token in self.IsSc: + # Perform right shift on currency and other random punctuation items + detokenized_text += prepend_space + token + prepend_space = "" + + elif re.search(r'^[\,\.\?\!\:\;\\\%\}\]\)]+$', token): + # In French, these punctuations are prefixed with a non-breakable space. + if self.lang == 'fr' and re.search(r'^[\?\!\:\;\\\%]$', token): + detokenized_text += " " + # Perform left shift on punctuation items. + detokenized_text += token + prepend_space = " " + + elif (self.lang == 'en' and i > 0 + and re.search(u"^[\'][{}]".format(self.IsAlpha), token)): + # and re.search(u'[{}]$'.format(self.IsAlnum), tokens[i-1])): + # For English, left-shift the contraction. + detokenized_text += token + prepend_space = " " + + elif (self.lang == 'cs' and i > 1 + and re.search(r'^[0-9]+$', tokens[-2]) # If the previous previous token is a number. + and re.search(r'^[.,]$', tokens[-1]) # If previous token is a dot. + and re.search(r'^[0-9]+$', token)): # If the current token is a number. + # In Czech, left-shift floats that are decimal numbers. + detokenized_text += token + prepend_space = " " + + elif (self.lang in ['fr', 'it', 'ga'] and i <= len(tokens) - 2 + and re.search(u'[{}][\']$'.format(self.IsAlpha), token) + and re.search(u'^[{}]$'.format(self.IsAlpha), tokens[i + 1])): # If the next token is alpha. + # For French and Italian, right-shift the contraction. + detokenized_text += prepend_space + token + prepend_space = "" + + elif (self.lang == 'cs' and i <= len(tokens) - 3 + and re.search(u'[{}][\']$'.format(self.IsAlpha), token) + and re.search(u'^[-–]$', tokens[i + 1]) + and re.search(u'^li$|^mail.*', tokens[i + 2], + re.IGNORECASE)): # In Perl, ($words[$i+2] =~ /^li$|^mail.*/i) + # In Czech, right-shift "-li" and a few Czech dashed words (e.g. e-mail) + detokenized_text += prepend_space + token + tokens[i + 1] + next(tokens, None) # Advance over the dash + prepend_space = "" + + # Combine punctuation smartly. + elif re.search(r'''^[\'\"„“`]+$''', token): + normalized_quo = token + if re.search(r'^[„“”]+$', token): + normalized_quo = '"' + quote_counts[normalized_quo] = quote_counts.get(normalized_quo, 0) + + if self.lang == 'cs' and token == u"„": + quote_counts[normalized_quo] = 0 + if self.lang == 'cs' and token == u"“": + quote_counts[normalized_quo] = 1 + + if quote_counts[normalized_quo] % 2 == 0: + if (self.lang == 'en' and token == u"'" and i > 0 + and re.search(r'[s]$', tokens[i - 1])): + # Left shift on single quote for possessives ending + # in "s", e.g. "The Jones' house" + detokenized_text += token + prepend_space = " " + else: + # Right shift. + detokenized_text += prepend_space + token + prepend_space = "" + quote_counts[normalized_quo] += 1 + else: + # Left shift. + detokenized_text += token + prepend_space = " " + quote_counts[normalized_quo] += 1 + + elif (self.lang == 'fi' and re.search(r':$', tokens[i - 1]) + and re.search(self.FINNISH_REGEX, token)): + # Finnish : without intervening space if followed by case suffix + # EU:N EU:n EU:ssa EU:sta EU:hun EU:iin ... + detokenized_text += prepend_space + token + prepend_space = " " + + else: + detokenized_text += prepend_space + token + prepend_space = " " + + # Merge multiple spaces. + regexp, substitution = self.ONE_SPACE + detokenized_text = re.sub(regexp, substitution, detokenized_text) + # Removes heading and trailing spaces. + detokenized_text = detokenized_text.strip() + + return detokenized_text if return_str else detokenized_text.split() + + def detokenize(self, tokens, return_str=False, unescape=True): + """ Duck-typing the abstract *tokenize()*.""" + return self.tokenize(tokens, return_str, unescape) |