+ hl?^RIt^RIt^RIt^RIt^RIt^RIHt^RIHtH t H t ^RI H t ^RI Ht^RIHtRtRtR t!R R ] 4t]R 8Xd^RIt]P.!4R#R#) N)ZipFilePathPointer)find_dir find_filefind_jars_within_path)ParserI)DependencyGraph)taggedsents_to_conllc:^RIHpV!.RO4pVP#)r) RegexpTagger))z\.$.)z\,$,)z\?$?)z\($()z\)$))z\[$[)z\]$])z^-?[0-9]+(\.[0-9]+)?$CD)z(The|the|A|a|An|an)$DT)z&(He|he|She|she|It|it|I|me|Me|You|you)$PRP)z(His|his|Her|her|Its|its)$PRP$)z(my|Your|your|Yours|yours)$r)z (on|On|in|In|at|At|since|Since)$IN)z (for|For|ago|Ago|before|Before)$r)z(till|Till|until|Until)$r)z(by|By|beside|Beside)$r)z(under|Under|below|Below)$r)z(over|Over|above|Above)$r)z (across|Across|through|Through)$r)z(into|Into|towards|Towards)$r)z(onto|Onto|from|From)$r)z.*able$JJ)z.*ness$NN)z.*ly$RB)z.*s$NNS)z.*ing$VBG)z.*ed$VBD)z.*r)nltk.tagr tag)r _taggers 1/usr/lib/python3/dist-packages/nltk/parse/malt.pymalt_regex_taggerr"s!% G@ ;;c\PPV4'dTpM \VRR7p.ROp\ \ V44pVUu0uF)p\PP V4^,kK+ pp0RmpVPV4'gQh\\RV44'gQh\V4#uupi)z= A module to find MaltParser .jar file and its dependencies. )env_varscVVPR4;'dVPR4#)z maltparser-z.jar) startswithendswith)is&r!!find_maltparser..Ms!m4KKF9KKr#) MALT_PARSER)r-r-> log4j.jar libsvm.jarliblinear-1.8.jar) ospathexistsrsetrsplitissubsetanyfilterlist)parser_dirname _malt_dirmalt_dependencies _malt_jarsjar_jarss& r!find_maltparserr@=s ww~~n%%" ^6FG $*956J.8 9jsRWW]]3  " "jE 9H  % %e , ,, , KUS      :s/C cxVfR#\PPV4'dV#\VRRR7#)z0 A module to find pre-trained MaltParser model. malt_temp.mcoF)r%verbose) MALT_MODEL)r1r2r3r)model_filenames&r!find_malt_modelrFRs5  ' '/5QQr#cta]tRt^^toRtR RltR RltR RltR Rlt] RRl4t RRlt RR lt R t VtR#) MaltParsera A class for dependency parsing with MaltParser. The input is the paths to: - (optionally) a maltparser directory - (optionally) the path to a pre-trained MaltParser .mco model file - (optionally) the tagger to use for POS tagging before parsing - (optionally) additional Java arguments Example: >>> from nltk.parse import malt >>> # With MALT_PARSER and MALT_MODEL environment set. >>> mp = malt.MaltParser(model_filename='engmalt.linear-1.7.mco') # doctest: +SKIP >>> mp.parse_one('I shot an elephant in my pajamas .'.split()).tree() # doctest: +SKIP (shot I (elephant an) (in (pajamas my)) .) >>> # Without MALT_PARSER and MALT_MODEL environment. >>> mp = malt.MaltParser('/home/user/maltparser-1.9.2/', '/home/user/engmalt.linear-1.7.mco') # doctest: +SKIP >>> mp.parse_one('I shot an elephant in my pajamas .'.split()).tree() # doctest: +SKIP (shot I (elephant an) (in (pajamas my)) .) Nc \V4VnVeTM.Vn\V4VnVPR8gVn\ P!4VnVe W0n R#\4Vn R#)a An interface for parsing with the Malt Parser. :param parser_dirname: The path to the maltparser directory that contains the maltparser-1.x.jar :type parser_dirname: str :param model_filename: The name of the pre-trained model with .mco file extension. If provided, training will not be required. (see http://www.maltparser.org/mco/mco.html and see http://www.patful.com/chalk/node/185) :type model_filename: str :param tagger: The tagger used to POS tag the raw string before formatting to CONLL format. It should behave like `nltk.pos_tag` :type tagger: function :param additional_java_args: This is the additional Java arguments that one can use when calling Maltparser, usually this is the heapsize limits, e.g. `additional_java_args=['-Xmx1024m']` (see https://javarevisited.blogspot.com/2011/05/java-heap-space-memory-size-jvm.html) :type additional_java_args: list NrB) r@ malt_jarsadditional_java_argsrFmodel_trainedtempfile gettempdir working_dirr"tagger)selfr:rErQrKs&&&&&r!__init__MaltParser.__init__rsh:)8%9$D " !%^4  o5 #..0 & 2f 8I8K r#c# "VP'g \R4h\P!RVPRRR7;_uu_4p\P!RVPRRR7;_uu_4p\ V4FpVP \V44K VP4VPVPVPRR7p\P!4p\P!\PPVP 4^,4TP#Yr4p \P!T4T ^8wd$\R R P%T4T 3,4h\'TP4;_uu_4p T P)4PR 4Fp \+\-YR 7.4xK R R R 4R R R 4R R R 4\P.!XP4\P.!XP4R # EL ;i +'giLj;i +'giLu;i +'giL;i5i)a{ Use MaltParser to parse multiple POS tagged sentences. Takes multiple sentences where each sentence is a list of (word, tag) tuples. The sentences must have already been tokenized and tagged. :param sentences: Input sentences to parse :type sentence: list(list(tuple(str, str))) :return: iter(iter(``DependencyGraph``)) the dependency graph representation of each sentence z0Parser has not been trained. Call train() first.zmalt_input.conll.wFprefixdirmodedeletezmalt_output.conll.parserZz0MaltParser parsing (%s) failed with exit code %d z top_relation_labelN)rM ExceptionrNNamedTemporaryFilerPr writestrclosegenerate_malt_commandnamer1getcwdchdirr2r5rL_executejoinopenreaditerrremove) rR sentencesrCr` input_file output_filelinecmd _current_pathretinfiletree_strs &&&& r!parse_tagged_sentsMaltParser.parse_tagged_sentss}}}NO O  ( (&D,<,<3u  ,,+$$  0;D$$SY/<  "00OO[%5%5G1!# HHRWW]]4::6q9:mmC1'!8#"%(XXc]C$89 +**++v$*KKM$7$7$? $3(0%&!"%@,E b *//" +""#3,+E  sjA J -I-9A:I 4AH?8A.I &?I %I -I-5A J?I I  II  I* %I-- I= 8Jc BaV3RlV4pSPWBVR7#)a. Use MaltParser to parse multiple sentences. Takes a list of sentences, where each sentence is a list of words. Each sentence will be automatically tagged with this MaltParser instance's tagger. :param sentences: Input sentences to parse :type sentence: list(list(str)) :return: iter(DependencyGraph) c3F<"TFpSPV4xK R#5i)N)rQ).0sentencerRs& r! )MaltParser.parse_sents..sL)hDKK11)s!r_)ry)rRrprCr`tagged_sentencessf&&& r! parse_sentsMaltParser.parse_sentss/M)L&& :L'  r#c *R.pW@P, p\PPR4'dRMRpVRVP VP 4., pVR., p\ PPVP4'd;VR\ PPVP4R ,., pMVRVP., pVRV., pVR 8Xd VR V., pVR V., pV#) z This function generates the maltparser command use at the terminal. :param inputfilename: path to the input file :type inputfilename: str :param outputfilename: path to the output file :type outputfilename: str javawin;:z-cpzorg.maltparser.Maltz-cz-ir\z-oz-m) rKsysplatformr'rkrJr1r2r3rLr5)rR inputfilenameoutputfilenamerZrtclasspaths_separators&&&& r!rf MaltParser.generate_malt_commandsh (((&)ll&=&=e&D&Ds#  % %dnn 5   %&& 77>>$** % % D"''-- 3B78 8C D$**% %C m$$ 7? D.) )C d| r#cV'dRM\Pp\P!WVR7pVP4#)N)stdoutstderr) subprocessPIPEPopenwait)rtrCoutputps&& r!rjMaltParser._executes, joo   S ?vvxr#c t\P!RVPRRR7;_uu_4pRPRV44pVP \ V44RRR4VP XPVR7\P!VP4R# +'giLO;i) z Train MaltParser from a list of ``DependencyGraph`` objects :param depgraphs: list of ``DependencyGraph`` objects for training input data :type depgraphs: DependencyGraph malt_train.conll.rVFrW c3B"TFqP^ 4xK R#5i) N)to_conll)r}dgs& r!r#MaltParser.train.. s!FIb++b//IsNrC) rNrbrPrkrcrdtrain_from_filergr1ro)rR depgraphsrCrq input_strs&&& r!trainMaltParser.trains ( (&D,<,<3u   !FI!FFI   S^ ,  Z__g> *//"  s 3B'' B7 c  f\V\4'd\P!RVPRRR7;_uu_4pVP 4;_uu_4pVP 4pVP\V44RRR4VPVPVR7uuRRR4#VPVRR7pVPWb4pV^8wd$\R R PV4V3,4hR VnR# +'giL;i +'giLz;i) zw Train MaltParser from a file :param conll_file: str for the filename of the training input data :type conll_file: str rrVFrWNrlearnr]z1MaltParser training (%s) failed with exit code %dr^T) isinstancerrNrbrPrlrmrcrdrrgrfrjrarkrM)rR conll_filerCrqconll_input_file conll_strrtrvs&&& r!rMaltParser.train_from_file's j"4 5 5,,*0@0@sSX__&&*: 0 5 5 7I$$S^4'++JOOW+M (('(BmmC) !8 XXc]C01  '&s$D +D $D  D D  D0 )rMrKrJrLrQrP)r-NNN)Fnull)NN)F)__name__ __module__ __qualname____firstlineno____doc__rSryrrf staticmethodrjrr__static_attributes____classdictcell__) __classdict__s@r!rHrH^sF&(LT@$D @ #&r#rH__main__)inspectr1rrrN nltk.datarnltk.internalsrrrnltk.parse.apirnltk.parse.dependencygraphrnltk.parse.utilr r"r@rFrHrdoctesttestmodr#r!rsn  (EE"60#L* RccL z@D OOKr#