Of?|SrSSKrSSKrSSKJrJrJr SSKJr SSK J r SSK J r "SS\5r "S S \5rg) a  Penn Treebank Tokenizer The Treebank tokenizer uses regular expressions to tokenize text as in Penn Treebank. This implementation is a port of the tokenizer sed script written by Robert McIntyre and available at http://www.cis.upenn.edu/~treebank/tokenizer.sed. N)IteratorListTuple) TokenizerI)MacIntyreContractions) align_tokensc R\rSrSrSr\R "S5S4\R "S5S4\R "S5S4/r\R "S 5S 4\R "S 5S4\R "S 5S 4\R "S5S4\R "S5S4\R "S5S4\R "S5S4/r\R "S5S4r \R "S5S4\R "S5S4\R "S5S4\R "S5S4\R "S5S4\R "S 5S!4/r \R "S"5S#4r \R "S$5S%4\R "S&5S%4\R "S'5S(4\R "S)5S(4/r \ "5r\"\"\R \R"55r\"\"\R \R$55rS2S*\S+\S,\S-\\4S.jjrS*\S-\\\\44S/jrS0rg1)3TreebankWordTokenizera The Treebank tokenizer uses regular expressions to tokenize text as in Penn Treebank. This tokenizer performs the following steps: - split standard contractions, e.g. ``don't`` -> ``do n't`` and ``they'll`` -> ``they 'll`` - treat most punctuation characters as separate tokens - split off commas and single quotes, when followed by whitespace - separate periods that appear at the end of line >>> from nltk.tokenize import TreebankWordTokenizer >>> s = '''Good muffins cost $3.88\nin New York. Please buy me\ntwo of them.\nThanks.''' >>> TreebankWordTokenizer().tokenize(s) ['Good', 'muffins', 'cost', '$', '3.88', 'in', 'New', 'York.', 'Please', 'buy', 'me', 'two', 'of', 'them.', 'Thanks', '.'] >>> s = "They'll save and invest more." >>> TreebankWordTokenizer().tokenize(s) ['They', "'ll", 'save', 'and', 'invest', 'more', '.'] >>> s = "hi, my name can't hello," >>> TreebankWordTokenizer().tokenize(s) ['hi', ',', 'my', 'name', 'ca', "n't", 'hello', ','] z^\"``z(``)z \1 z([ \(\[{<])(\"|\'{2})z\1 `` z ([:,])([^\d])z \1 \2z([:,])$z\.\.\.z ... z[;@#$%&]z \g<0> z([^\.])(\.)([\]\)}>"\']*)\s*$z\1 \2\3 z[?!]z([^'])' z\1 ' z[\]\[\(\)\{\}\<\>]z\(-LRB-z\)-RRB-z\[-LSB-z\]-RSB-z\{-LCB-z\}-RCB--- -- ''z '' "z([^' ])('[sS]|'[mM]|'[dD]|') z\1 \2 z)([^' ])('ll|'LL|'re|'RE|'ve|'VE|n't|N'T) textconvert_parentheses return_strreturncUSLa[R"S[SS9 URHupEUR XQ5nM UR HupEUR XQ5nM UR upEUR XQ5nU(a&URHupEUR XQ5nM URupEUR XQ5nSU-S-nURHupEUR XQ5nM URHnUR SU5nM URHnUR SU5nM UR5$)aUReturn a tokenized copy of `text`. >>> from nltk.tokenize import TreebankWordTokenizer >>> s = '''Good muffins cost $3.88 (roughly 3,36 euros)\nin New York. Please buy me\ntwo of them.\nThanks.''' >>> TreebankWordTokenizer().tokenize(s) # doctest: +NORMALIZE_WHITESPACE ['Good', 'muffins', 'cost', '$', '3.88', '(', 'roughly', '3,36', 'euros', ')', 'in', 'New', 'York.', 'Please', 'buy', 'me', 'two', 'of', 'them.', 'Thanks', '.'] >>> TreebankWordTokenizer().tokenize(s, convert_parentheses=True) # doctest: +NORMALIZE_WHITESPACE ['Good', 'muffins', 'cost', '$', '3.88', '-LRB-', 'roughly', '3,36', 'euros', '-RRB-', 'in', 'New', 'York.', 'Please', 'buy', 'me', 'two', 'of', 'them.', 'Thanks', '.'] :param text: A string with a sentence or sentences. :type text: str :param convert_parentheses: if True, replace parentheses to PTB symbols, e.g. `(` to `-LRB-`. Defaults to False. :type convert_parentheses: bool, optional :param return_str: If True, return tokens as space-separated string, defaults to False. :type return_str: bool, optional :return: List of tokens from `text`. :rtype: List[str] FzHParameter 'return_str' has been deprecated and should no longer be used.)category stacklevel z \1 \2 ) warningswarnDeprecationWarningSTARTING_QUOTESsub PUNCTUATIONPARENS_BRACKETSCONVERT_PARENTHESES DOUBLE_DASHES ENDING_QUOTES CONTRACTIONS2 CONTRACTIONS3split)selfrrrregexp substitutions 8/usr/lib/python3/dist-packages/nltk/tokenize/treebank.pytokenizeTreebankWordTokenizer.tokenizeesK6 U " MM"+  %)$8$8 F::l1D%9%)$4$4 F::l1D%5 $33zz,- (,(@(@$zz,5)A $11zz,-TzC$($6$6 F::l1D%7((F::j$/D)((F::j$/D)zz|c#D# URU5nSU;dSU;a^[R"SU5Vs/sHo3R5PM nnUVs/sHnUS;aUR S5OUPM nnOUn[ Xa5ShvN gs snfs snfN7f)a Returns the spans of the tokens in ``text``. Uses the post-hoc nltk.tokens.align_tokens to return the offset spans. >>> from nltk.tokenize import TreebankWordTokenizer >>> s = '''Good muffins cost $3.88\nin New (York). Please (buy) me\ntwo of them.\n(Thanks).''' >>> expected = [(0, 4), (5, 12), (13, 17), (18, 19), (19, 23), ... (24, 26), (27, 30), (31, 32), (32, 36), (36, 37), (37, 38), ... (40, 46), (47, 48), (48, 51), (51, 52), (53, 55), (56, 59), ... (60, 62), (63, 68), (69, 70), (70, 76), (76, 77), (77, 78)] >>> list(TreebankWordTokenizer().span_tokenize(s)) == expected True >>> expected = ['Good', 'muffins', 'cost', '$', '3.88', 'in', ... 'New', '(', 'York', ')', '.', 'Please', '(', 'buy', ')', ... 'me', 'two', 'of', 'them.', '(', 'Thanks', ')', '.'] >>> [s[start:end] for start, end in TreebankWordTokenizer().span_tokenize(s)] == expected True :param text: A string with a sentence or sentences. :type text: str :yield: Tuple[int, int] rrz ``|'{2}|\")rr rrN)r1refinditergrouppopr)r-r raw_tokensmmatchedtoktokenss r0 span_tokenize#TreebankWordTokenizer.span_tokenizes.]]4( 4KTT\*,++mT*JK*JQwwy*JGK &%C#&):": AC% F  F---L .s(7B BB #B;B BB N)FF)__name__ __module__ __qualname____firstlineno____doc__r5compiler#r%r&r'r(r)r _contractionslistmapr*r+strboolrr1rrintr>__static_attributes__r@r3r0r r sK0 F U# G g& , -y9O $ %y1 J ) I ) K *- JJ7 8   G j) K (+ Kzz"78*EO E G$ E G$ E G$ E G$ E G$ E G$ ZZ&0M E F# D 6" 4 5yA @ A9M M*+MRZZ)D)DEFMRZZ)D)DEFMPUEE.2EHLE cEN).#).(5c?*C).r3r c b\rSrSrSr\"5r\RVVVs/sH)n[R"URSS55PM+ snnnr\RVVVs/sH)n[R"URSS55PM+ snnnr \R"S5S4\R"S5S4\R"S5S 4\R"S 5S 4\R"S 5S 4/r \R"S 5S4r \R"S5S4\R"S5S4\R"S5S4\R"S5S4\R"S5S4\R"S5S4/r\R"S5S4\R"S5S4\R"S5S 4/r\R"S5S 4\R"S!5S4\R"S"5S#4\R"S$5S4\R"S%5S4\R"S&5S'4\R"S(5S)4/r\R"S*5S+4\R"S,5S)4\R"S-5S 4/rS5S.\\S/\S0\4S1jjrS5S.\\S/\S0\4S2jjrS3rg4s snnnfs snnnf)6TreebankWordDetokenizera The Treebank detokenizer uses the reverse regex operations corresponding to the Treebank tokenizer's regexes. Note: - There're additional assumption mades when undoing the padding of ``[;@#$%&]`` punctuation symbols that isn't presupposed in the TreebankTokenizer. - There're additional regexes added in reversing the parentheses tokenization, such as the ``r'([\]\)\}\>])\s([:;,.])'``, which removes the additional right padding added to the closing parentheses precedding ``[:;,.]``. - It's not possible to return the original whitespaces as they were because there wasn't explicit records of where `'\n'`, `'\t'` or `'\s'` were removed at the text.split() operation. >>> from nltk.tokenize.treebank import TreebankWordTokenizer, TreebankWordDetokenizer >>> s = '''Good muffins cost $3.88\nin New York. Please buy me\ntwo of them.\nThanks.''' >>> d = TreebankWordDetokenizer() >>> t = TreebankWordTokenizer() >>> toks = t.tokenize(s) >>> d.detokenize(toks) 'Good muffins cost $3.88 in New York. Please buy me two of them. Thanks.' The MXPOST parentheses substitution can be undone using the ``convert_parentheses`` parameter: >>> s = '''Good muffins cost $3.88\nin New (York). Please (buy) me\ntwo of them.\n(Thanks).''' >>> expected_tokens = ['Good', 'muffins', 'cost', '$', '3.88', 'in', ... 'New', '-LRB-', 'York', '-RRB-', '.', 'Please', '-LRB-', 'buy', ... '-RRB-', 'me', 'two', 'of', 'them.', '-LRB-', 'Thanks', '-RRB-', '.'] >>> expected_tokens == t.tokenize(s, convert_parentheses=True) True >>> expected_detoken = 'Good muffins cost $3.88 in New (York). Please (buy) me two of them. (Thanks).' >>> expected_detoken == d.detokenize(t.tokenize(s, convert_parentheses=True), convert_parentheses=True) True During tokenization it's safe to add more spaces but during detokenization, simply undoing the padding doesn't really help. - During tokenization, left and right pad is added to ``[!?]``, when detokenizing, only left shift the ``[!?]`` is needed. Thus ``(re.compile(r'\s([?!])'), r'\g<1>')``. - During tokenization ``[:,]`` are left and right padded but when detokenizing, only left shift is necessary and we keep right pad after comma/colon if the string after is a non-digit. Thus ``(re.compile(r'\s([:,])\s([^\d])'), r'\1 \2')``. >>> from nltk.tokenize.treebank import TreebankWordDetokenizer >>> toks = ['hello', ',', 'i', 'ca', "n't", 'feel', 'my', 'feet', '!', 'Help', '!', '!'] >>> twd = TreebankWordDetokenizer() >>> twd.detokenize(toks) "hello, i can't feel my feet! Help!!" >>> toks = ['hello', ',', 'i', "can't", 'feel', ';', 'my', 'feet', '!', ... 'Help', '!', '!', 'He', 'said', ':', 'Help', ',', 'help', '?', '!'] >>> twd.detokenize(toks) "hello, i can't feel; my feet! Help!! He said: Help, help?!" z(?#X)z\sz+([^' ])\s('ll|'LL|'re|'RE|'ve|'VE|n't|N'T) z\1\2 z([^' ])\s('[sS]|'[mM]|'[dD]|') z (\S)\s(\'\')\1\2z(\'\')\s([.,:)\]>};%])rrrrr (r)r[r]r{r}z([\[\(\{\<])\sz\g<1>z\s([\]\)\}\>])z([\]\)\}\>])\s([:;,.])z ([^'])\s'\sz\1' z\s([?!])z([^\.])\s(\.)([\]\)}>"\']*)\s*$z\1\2\3z([#$])\sz\s([;%])z \s\.\.\.\sz...z\s([:,])z\1z([ (\[{<])\s``z\1``z(``)\sr r=rrcSRU5nSU-S-nURHnURSU5nM URHnURSU5nM URHupEURXS5nM UR 5nUR upEURXS5nU(a&URHupEURXS5nM URHupEURXS5nM URHupEURXS5nM URHupEURXS5nM UR 5$)a] Treebank detokenizer, created by undoing the regexes from the TreebankWordTokenizer.tokenize. :param tokens: A list of strings, i.e. tokenized text. :type tokens: List[str] :param convert_parentheses: if True, replace PTB symbols with parentheses, e.g. `-LRB-` to `(`. Defaults to False. :type convert_parentheses: bool, optional :return: str rrQ) joinr+r$r*r)stripr(r'r&r%r#)r-r=rrr.r/s r0r1 TreebankWordDetokenizer.tokenize[sNxxTzC((F::gt,D)((F::gt,D)%)$6$6 F::l1D%7zz| $11zz,- (,(@(@$zz,5)A%)$8$8 F::l1D%9%)$4$4 F::l1D%5%)$8$8 F::l1D%9zz|r3c$URX5$)z&Duck-typing the abstract *tokenize()*.)r1)r-r=rs r0 detokenize"TreebankWordDetokenizer.detokenizes}}V99r3r@N)F)rArBrCrDrErrGr*r5rFreplacer+r)r(r'r&r%r#rrJrKr1r]rM).0patternr5s000r0rOrOs:x*+M%222G 7??7E232M %222G 7??7E232M B CXN 6 7B O $g. JJ0 1   E C  MZZ(%0M G c" G c" G c" G c" G c" G c"  % &1 % &1 - .8O N #W- K (+ 6 7C K (+ K (+ M "F+ JJ{ #  K, % &0 I & E D!O 3tCy3t3PS3j:c::RU::us 0J#%0J*rO)rEr5r typingrrrnltk.tokenize.apirnltk.tokenize.destructivernltk.tokenize.utilrr rOr@r3r0rfs> (((;+x.Jx.vz:jz:r3