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.gitattributes

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nltk_data/corpora/omw-1.4.zip

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nltk_data/corpora/wordnet.zip

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nltk_data/corpora/wordnet/LICENSE

@@ -0,0 +1,31 @@
+WordNet Release 3.0
+
+This software and database is being provided to you, the LICENSEE, by  
+Princeton University under the following license.  By obtaining, using  
+and/or copying this software and database, you agree that you have  
+read, understood, and will comply with these terms and conditions.:  
+  
+Permission to use, copy, modify and distribute this software and  
+database and its documentation for any purpose and without fee or  
+royalty is hereby granted, provided that you agree to comply with  
+the following copyright notice and statements, including the disclaimer,  
+and that the same appear on ALL copies of the software, database and  
+documentation, including modifications that you make for internal  
+use or for distribution.  
+  
+WordNet 3.0 Copyright 2006 by Princeton University.  All rights reserved.  
+  
+THIS SOFTWARE AND DATABASE IS PROVIDED "AS IS" AND PRINCETON  
+UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR  
+IMPLIED.  BY WAY OF EXAMPLE, BUT NOT LIMITATION, PRINCETON  
+UNIVERSITY MAKES NO REPRESENTATIONS OR WARRANTIES OF MERCHANT-  
+ABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE  
+OF THE LICENSED SOFTWARE, DATABASE OR DOCUMENTATION WILL NOT  
+INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR  
+OTHER RIGHTS.  
+  
+The name of Princeton University or Princeton may not be used in  
+advertising or publicity pertaining to distribution of the software  
+and/or database.  Title to copyright in this software, database and  
+any associated documentation shall at all times remain with  
+Princeton University and LICENSEE agrees to preserve same.  

nltk_data/corpora/wordnet/README

@@ -0,0 +1,101 @@
+
+		This is the README file for WordNet 3.0
+
+1. About WordNet
+
+WordNet was developed at Princeton University's Cognitive Science
+Laboratory under the direction of George Miller, James S. McDonnell
+Distinguished University Professor of Psychology, Emeritus. Over the
+years many linguists, lexicographers, students, and software engineers
+have contributed to the project.
+
+WordNet is an online lexical reference system.  Word forms in WordNet
+are represented in their familiar orthography; word meanings are
+represented by synonym sets (synsets) - lists of synonymous word forms
+that are interchangeable in some context.  Two kinds of relations are
+recognized: lexical and semantic.  Lexical relations hold between word
+forms; semantic relations hold between word meanings.  
+
+To learn more about WordNet, the book "WordNet: An Electronic Lexical
+Database," containing an updated version of "Five Papers on WordNet"
+and additional papers by WordNet users, is available from MIT Press:
+
+    http://mitpress.mit.edu/book-home.tcl?isbn=026206197X
+
+2. The WordNet Web Site
+
+We maintain a Web site at:
+
+http://wordnet.princeton.edu
+
+Information about WordNet, access to our online interface, and the
+various WordNet packages that you can download are available from our
+web site.  All of the software documentation is available online, as
+well as a FAQ.  On this site we also have information about other
+applications that use WordNet. If you have an application that you
+would like included, please send e-mail to the above address.
+
+3. Contacting Us
+
+Ongoing deveopment work and WordNet related projects are done by a
+small group of researchers, lexicographers, and systems programmers.
+Since our resources are VERY limited, we request that you please
+confine correspondence to WordNet topics only.  Please check the
+documentation, FAQ, and other resources for the answer to your
+question or problem before contacting us.
+
+If you have trouble installing or downloading WordNet, have a bug to
+report, or any other problem, please refer to the online FAQ file
+first.  If you can heal thyself, please do so.  The FAQ will be
+updated over time.  And if you do find a previously unreported
+problem, please use our Bug Report Form:
+
+http://wordnet.princeton.edu/cgi-bin/bugsubmit.pl
+
+When reporting a problem, please be as specific as possible, stating
+the computer platform you are using, which interface you are using,
+and the exact error.  The more details you can provide, the more
+likely it is that you will get an answer. 
+
+There is a WordNet user discussion group mailing list that we invite
+our users to join.  Users use this list to ask questions of one
+another, announce extensions to WordNet that they've developed, and
+other topics of general usefulness to the user community.
+
+Information on joining the user discussion list, reporting bugs and other
+contact information is in found on our website at:
+
+http://wordnet.princeton.edu/contact
+
+4. Current Release
+
+WordNet Version 3.0 is the latest version available for download.  Two
+basic database packages are available - one for Windows and one for
+Unix platforms (including Mac OS X).  See the file ChangeLog (Unix) or
+CHANGES.txt (Windows) for a list of changes from previous versions.
+
+WordNet packages can either be downloaded from our web site via:
+
+http://wordnet.princeton.edu/obtain
+
+The Windows package is a self-extracting archive that installs itself
+when you double-click on it.
+
+Beginning with Version 2.1, we changed the Unix package to a GNU Autotools
+package.  The WordNet browser makes use of the open source Tcl and Tk
+packages. Many systems come with either or both pre-installed.  If
+your system doesn't (some systems have Tcl installed, but not Tk)
+Tcl/Tk can be downloaded from:
+
+http://www.tcl.tk/ 
+
+Tcl and Tk must be installed BEFORE you compile WordNet. You must also
+have a C compiler before installing Tcl/Tk or WordNet.  WordNet has
+been built and tested with the GNU gcc compiler.  This is
+pre-installed on most Unix systems, and can be downloaded from:
+
+http://gcc.gnu.org/
+
+See the file INSTALL for detailed WordNet installation instructions.
+
+

nltk_data/corpora/wordnet/adj.exc

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nltk_data/corpora/wordnet/adv.exc

@@ -0,0 +1,7 @@
+best well
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+hardest hard

nltk_data/corpora/wordnet/citation.bib

@@ -0,0 +1,9 @@
+Citation for PWN
+
+@book{_Fellbaum:1998,
+  booktitle =	 "{WordNet}: An Electronic Lexical Database",
+  address =	 "Cambridge, MA",
+  editor =	 "Fellbaum, Christiane",
+  publisher =	 "MIT Press",
+  year =	 1998,
+}

nltk_data/corpora/wordnet/data.noun

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+version https://git-lfs.github.com/spec/v1
+oid sha256:489f145e0f68877c0be5bd0eb4117adaaac52f38f6204eb8d85dbe2158b614cc
+size 15300280

nltk_data/corpora/wordnet/lexnames

@@ -0,0 +1,45 @@
+00	adj.all	3
+01	adj.pert	3 
+02	adv.all	4
+03	noun.Tops	1  
+04	noun.act	1
+05	noun.animal	1
+06	noun.artifact	1
+07	noun.attribute	1
+08	noun.body	1
+09	noun.cognition	1
+10	noun.communication	1
+11	noun.event	1
+12	noun.feeling	1
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+21	noun.possession	1
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+24	noun.relation	1
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+26	noun.state	1
+27	noun.substance	1
+28	noun.time	1
+29	verb.body	2
+30	verb.change	2
+31	verb.cognition	2
+32	verb.communication	2
+33	verb.competition	2
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+36	verb.creation	2
+37	verb.emotion	2
+38	verb.motion	2
+39	verb.perception	2
+40	verb.possession	2
+41	verb.social	2
+42	verb.stative	2
+43	verb.weather	2
+44	adj.ppl	3

nltk_data/corpora/wordnet/noun.exc

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+yourselves yourself
+zamindaris zamindari zemindari
+zecchini zecchino
+zeroes zero
+zoa zoon
+zoaeae zoaea zoea
+zoeae zoea
+zoeas zoaea
+zoonoses zoonosis
+zoosporangia zoosporangium

nltk_data/corpora/wordnet/verb.exc

@@ -0,0 +1,2401 @@
+abetted abet
+abetting abet
+abhorred abhor
+abhorring abhor
+abode abide
+abought aby
+about-shipped about-ship
+about-shipping about-ship
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+abutting abut
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nltk_data/tokenizers/punkt/PY3/README

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+Pretrained Punkt Models -- Jan Strunk (New version trained after issues 313 and 514 had been corrected)
+
+Most models were prepared using the test corpora from Kiss and Strunk (2006). Additional models have
+been contributed by various people using NLTK for sentence boundary detection.
+
+For information about how to use these models, please confer the tokenization HOWTO:
+http://nltk.googlecode.com/svn/trunk/doc/howto/tokenize.html
+and chapter 3.8 of the NLTK book:
+http://nltk.googlecode.com/svn/trunk/doc/book/ch03.html#sec-segmentation
+
+There are pretrained tokenizers for the following languages:
+
+File                Language            Source                             Contents                Size of training corpus(in tokens)           Model contributed by
+=======================================================================================================================================================================
+czech.pickle        Czech               Multilingual Corpus 1 (ECI)        Lidove Noviny                   ~345,000                             Jan Strunk / Tibor Kiss
+                                                                           Literarni Noviny
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+danish.pickle       Danish              Avisdata CD-Rom Ver. 1.1. 1995     Berlingske Tidende              ~550,000                             Jan Strunk / Tibor Kiss
+                                        (Berlingske Avisdata, Copenhagen)  Weekend Avisen
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+dutch.pickle        Dutch               Multilingual Corpus 1 (ECI)        De Limburger                    ~340,000                             Jan Strunk / Tibor Kiss
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+english.pickle      English             Penn Treebank (LDC)                Wall Street Journal             ~469,000                             Jan Strunk / Tibor Kiss
+                    (American)
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+estonian.pickle     Estonian            University of Tartu, Estonia       Eesti Ekspress                  ~359,000                             Jan Strunk / Tibor Kiss
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+finnish.pickle      Finnish             Finnish Parole Corpus, Finnish     Books and major national        ~364,000                             Jan Strunk / Tibor Kiss
+                                        Text Bank (Suomen Kielen           newspapers
+                                        Tekstipankki)
+                                        Finnish Center for IT Science
+                                        (CSC)
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+french.pickle       French              Multilingual Corpus 1 (ECI)        Le Monde                        ~370,000                             Jan Strunk / Tibor Kiss
+                    (European)
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+german.pickle       German              Neue Zürcher Zeitung AG            Neue Zürcher Zeitung            ~847,000                             Jan Strunk / Tibor Kiss
+                    (Switzerland)       CD-ROM
+                    (Uses "ss"
+                     instead of "ß")
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+greek.pickle        Greek               Efstathios Stamatatos              To Vima (TO BHMA)               ~227,000                             Jan Strunk / Tibor Kiss
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+italian.pickle      Italian             Multilingual Corpus 1 (ECI)        La Stampa, Il Mattino           ~312,000                             Jan Strunk / Tibor Kiss
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+norwegian.pickle    Norwegian           Centre for Humanities              Bergens Tidende                 ~479,000                             Jan Strunk / Tibor Kiss
+                    (Bokmål and         Information Technologies,
+                     Nynorsk)           Bergen
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+polish.pickle       Polish              Polish National Corpus             Literature, newspapers, etc.  ~1,000,000                             Krzysztof Langner
+                                        (http://www.nkjp.pl/)
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+portuguese.pickle   Portuguese          CETENFolha Corpus                  Folha de São Paulo              ~321,000                             Jan Strunk / Tibor Kiss
+                    (Brazilian)         (Linguateca)
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+slovene.pickle      Slovene             TRACTOR                            Delo                            ~354,000                             Jan Strunk / Tibor Kiss
+                                        Slovene Academy for Arts
+                                        and Sciences
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+spanish.pickle      Spanish             Multilingual Corpus 1 (ECI)        Sur                             ~353,000                             Jan Strunk / Tibor Kiss
+                    (European)
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+swedish.pickle      Swedish             Multilingual Corpus 1 (ECI)        Dagens Nyheter                  ~339,000                             Jan Strunk / Tibor Kiss
+                                                                           (and some other texts)
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+turkish.pickle      Turkish             METU Turkish Corpus                Milliyet                        ~333,000                             Jan Strunk / Tibor Kiss
+                                        (Türkçe Derlem Projesi)
+                                        University of Ankara
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+The corpora contained about 400,000 tokens on average and mostly consisted of newspaper text converted to
+Unicode using the codecs module.
+
+Kiss, Tibor and Strunk, Jan (2006): Unsupervised Multilingual Sentence Boundary Detection.
+Computational Linguistics 32: 485-525.
+
+---- Training Code ----
+
+# import punkt
+import nltk.tokenize.punkt
+
+# Make a new Tokenizer
+tokenizer = nltk.tokenize.punkt.PunktSentenceTokenizer()
+
+# Read in training corpus (one example: Slovene)
+import codecs
+text = codecs.open("slovene.plain","Ur","iso-8859-2").read()
+
+# Train tokenizer
+tokenizer.train(text)
+
+# Dump pickled tokenizer
+import pickle
+out = open("slovene.pickle","wb")
+pickle.dump(tokenizer, out)
+out.close()
+
+---------

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nltk_data/tokenizers/punkt/README

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+Pretrained Punkt Models -- Jan Strunk (New version trained after issues 313 and 514 had been corrected)
+
+Most models were prepared using the test corpora from Kiss and Strunk (2006). Additional models have
+been contributed by various people using NLTK for sentence boundary detection.
+
+For information about how to use these models, please confer the tokenization HOWTO:
+http://nltk.googlecode.com/svn/trunk/doc/howto/tokenize.html
+and chapter 3.8 of the NLTK book:
+http://nltk.googlecode.com/svn/trunk/doc/book/ch03.html#sec-segmentation
+
+There are pretrained tokenizers for the following languages:
+
+File                Language            Source                             Contents                Size of training corpus(in tokens)           Model contributed by
+=======================================================================================================================================================================
+czech.pickle        Czech               Multilingual Corpus 1 (ECI)        Lidove Noviny                   ~345,000                             Jan Strunk / Tibor Kiss
+                                                                           Literarni Noviny
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+danish.pickle       Danish              Avisdata CD-Rom Ver. 1.1. 1995     Berlingske Tidende              ~550,000                             Jan Strunk / Tibor Kiss
+                                        (Berlingske Avisdata, Copenhagen)  Weekend Avisen
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+dutch.pickle        Dutch               Multilingual Corpus 1 (ECI)        De Limburger                    ~340,000                             Jan Strunk / Tibor Kiss
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+english.pickle      English             Penn Treebank (LDC)                Wall Street Journal             ~469,000                             Jan Strunk / Tibor Kiss
+                    (American)
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+estonian.pickle     Estonian            University of Tartu, Estonia       Eesti Ekspress                  ~359,000                             Jan Strunk / Tibor Kiss
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+finnish.pickle      Finnish             Finnish Parole Corpus, Finnish     Books and major national        ~364,000                             Jan Strunk / Tibor Kiss
+                                        Text Bank (Suomen Kielen           newspapers
+                                        Tekstipankki)
+                                        Finnish Center for IT Science
+                                        (CSC)
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+french.pickle       French              Multilingual Corpus 1 (ECI)        Le Monde                        ~370,000                             Jan Strunk / Tibor Kiss
+                    (European)
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+german.pickle       German              Neue Zürcher Zeitung AG            Neue Zürcher Zeitung            ~847,000                             Jan Strunk / Tibor Kiss
+                    (Switzerland)       CD-ROM
+                    (Uses "ss"
+                     instead of "ß")
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+greek.pickle        Greek               Efstathios Stamatatos              To Vima (TO BHMA)               ~227,000                             Jan Strunk / Tibor Kiss
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+italian.pickle      Italian             Multilingual Corpus 1 (ECI)        La Stampa, Il Mattino           ~312,000                             Jan Strunk / Tibor Kiss
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+norwegian.pickle    Norwegian           Centre for Humanities              Bergens Tidende                 ~479,000                             Jan Strunk / Tibor Kiss
+                    (Bokmål and         Information Technologies,
+                     Nynorsk)           Bergen
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+polish.pickle       Polish              Polish National Corpus             Literature, newspapers, etc.  ~1,000,000                             Krzysztof Langner
+                                        (http://www.nkjp.pl/)
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+portuguese.pickle   Portuguese          CETENFolha Corpus                  Folha de São Paulo              ~321,000                             Jan Strunk / Tibor Kiss
+                    (Brazilian)         (Linguateca)
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+slovene.pickle      Slovene             TRACTOR                            Delo                            ~354,000                             Jan Strunk / Tibor Kiss
+                                        Slovene Academy for Arts
+                                        and Sciences
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+spanish.pickle      Spanish             Multilingual Corpus 1 (ECI)        Sur                             ~353,000                             Jan Strunk / Tibor Kiss
+                    (European)
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+swedish.pickle      Swedish             Multilingual Corpus 1 (ECI)        Dagens Nyheter                  ~339,000                             Jan Strunk / Tibor Kiss
+                                                                           (and some other texts)
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+turkish.pickle      Turkish             METU Turkish Corpus                Milliyet                        ~333,000                             Jan Strunk / Tibor Kiss
+                                        (Türkçe Derlem Projesi)
+                                        University of Ankara
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+The corpora contained about 400,000 tokens on average and mostly consisted of newspaper text converted to
+Unicode using the codecs module.
+
+Kiss, Tibor and Strunk, Jan (2006): Unsupervised Multilingual Sentence Boundary Detection.
+Computational Linguistics 32: 485-525.
+
+---- Training Code ----
+
+# import punkt
+import nltk.tokenize.punkt
+
+# Make a new Tokenizer
+tokenizer = nltk.tokenize.punkt.PunktSentenceTokenizer()
+
+# Read in training corpus (one example: Slovene)
+import codecs
+text = codecs.open("slovene.plain","Ur","iso-8859-2").read()
+
+# Train tokenizer
+tokenizer.train(text)
+
+# Dump pickled tokenizer
+import pickle
+out = open("slovene.pickle","wb")
+pickle.dump(tokenizer, out)
+out.close()
+
+---------

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