removing python port. Sacremoses is newer

1 files changed, 0 insertions, 627 deletions

diff --git a/scripts/tokenizer/python-tokenizer/moses.py b/scripts/tokenizer/python-tokenizer/moses.py
deleted file mode 100644
index 8424a95a1..000000000
--- a/scripts/tokenizer/python-tokenizer/moses.py
+++ /dev/null
@@ -1,627 +0,0 @@
-# -*- 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', '&apos;t', 'funny', '.', 'It', '&apos;s', 'actually', 'hillarious', ',', 'yet', 'double', 'Ls', '.', '&#124;', '&#91;', '&#93;', '&lt;', '&gt;', '&#91;', '&#93;', '&amp;', 'You', '&apos;re', 'gonna', 'shake', 'it', 'off', '?', 'Don', '&apos;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'&amp;'
-    ESCAPE_PIPE = r'\|', r'&#124;'
-    ESCAPE_LEFT_ANGLE_BRACKET = r'<', r'&lt;'
-    ESCAPE_RIGHT_ANGLE_BRACKET = r'>', r'&gt;'
-    ESCAPE_SINGLE_QUOTE = r"\'", r"&apos;"
-    ESCAPE_DOUBLE_QUOTE = r'\"', r'&quot;'
-    ESCAPE_LEFT_SQUARE_BRACKET = r"\[", r"&#91;"
-    ESCAPE_RIGHT_SQUARE_BRACKET = r"]", r"&#93;"
-
-    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'&apos;t', u'funny', u'.', u'It', u'&apos;s', u'actually', u'hillarious', u',', u'yet', u'double', u'Ls', u'.', u'&#124;', u'&#91;', u'&#93;', u'&lt;', u'&gt;', u'&#91;', u'&#93;', u'&amp;', u'You', u'&apos;re', u'gonna', u'shake', u'it', u'off', u'?', u'Don', u'&apos;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', '&apos;t', 'funny.', 'It', '&apos;s', 'actually', 'hillarious,', 'yet', 'double', 'Ls.', '&#124;', '&#91;', '&#93;', '&lt;', '&gt;', '&#91;', '&#93;', '&amp;', 'You', '&apos;re', 'gonna', 'shake', 'it', 'off?', 'Don', '&apos;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'&#124;', r'|'
-    UNESCAPE_LEFT_ANGLE_BRACKET = r'&lt;', r'<'
-    UNESCAPE_RIGHT_ANGLE_BRACKET = r'&gt;', r'>'
-    UNESCAPE_DOUBLE_QUOTE = r'&quot;', r'"'
-    UNESCAPE_SINGLE_QUOTE = r"&apos;", r"'"
-    UNESCAPE_SYNTAX_NONTERMINAL_LEFT = r'&#91;', r'['
-    UNESCAPE_SYNTAX_NONTERMINAL_RIGHT = r'&#93;', r']'
-    UNESCAPE_AMPERSAND = r'&amp;', 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)