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ChangeLog
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Version 3.8.1 2023-01-02
* Resolve RCE vulnerability in localhost WordNet Browser (#3100)
* Remove unused tool scripts (#3099)
* Resolve XSS vulnerability in localhost WordNet Browser (#3096)
* Add Python 3.11 support (#3090)
Thanks to the following contributors to 3.8.1:
Francis Bond, John Vandenberg, Tom Aarsen
Version 3.8 2022-12-12
* Refactor dispersion plot (#3082)
* Provide type hints for LazyCorpusLoader variables (#3081)
* Throw warning when LanguageModel is initialized with incorrect vocabulary (#3080)
* Fix WordNet's all_synsets() function (#3078)
* Resolve TreebankWordDetokenizer inconsistency with end-of-string contractions (#3070)
* Support both iso639-3 codes and BCP-47 language tags (#3060)
* Avoid DeprecationWarning in Regexp tokenizer (#3055)
* Fix many doctests, add doctests to CI (#3054, #3050, #3048)
* Fix bool field not being read in VerbNet (#3044)
* Greatly improve time efficiency of SyllableTokenizer when tokenizing numbers (#3042)
* Fix encodings of Polish udhr corpus reader (#3038)
* Allow TweetTokenizer to tokenize emoji flag sequences (#3034)
* Prevent LazyModule from increasing the size of nltk.__dict__ (#3033)
* Fix CoreNLPServer non-default port issue (#3031)
* Add "acion" suffix to the Spanish SnowballStemmer (#3030)
* Allow loading WordNet without OMW (#3026)
* Use input() in nltk.chat.chatbot() for Jupyter support (#3022)
* Fix edit_distance_align() in distance.py (#3017)
* Tackle performance and accuracy regression of sentence tokenizer since NLTK 3.6.6 (#3014)
* Add the Iota operator to semantic logic (#3010)
* Resolve critical errors in WordNet app (#3008)
* Resolve critical error in CHILDES Corpus (#2998)
* Make WordNet information_content() accept adjective satellites (#2995)
* Add "strict=True" parameter to CoreNLP (#2993, #3043)
* Resolve issue with WordNet's synset_from_sense_key (#2988)
* Handle WordNet synsets that were lost in mapping (#2985)
* Resolve TypeError in Boxer (#2979)
* Add function to retrieve WordNet synonyms (#2978)
* Warn about nonexistent OMW offsets instead of raising an error (#2974)
* Fix missing ic argument in res, jcn and lin similarity functions of WordNet (#2970)
* Add support for the extended OMW (#2946)
* Fix LC cutoff policy of text tiling (#2936)
* Optimize ConditionalFreqDist.__add__ performance (#2939)
* Add Markdown corpus reader (#2902)
Thanks to the following contributors to 3.8:
Alexandre Perez-Lebel, David Lukes, Eric Kafe, Fernando Carranza, Heungson Lee,
Hoyeol Kim, James Huang, Jelle Zijlstra, Louis-Justin Tallot, M.K. Pawelkiewicz,
Jan Lennartz, Malinda Dilhara, Martin Kondratzky, Rob Malouf, Saud Kadiri,
Siddhesh Mhadnak, Stephan Hasler, Steve Smith, Tom Aarsen, Tyler Sheaffer,
Yue Zhao, cestwc, elespike, purificant, richardyy1188
Version 3.7 2022-02-09
* Improve and update the NLTK team page on nltk.org (#2855, #2941)
* Drop support for Python 3.6, support Python 3.10 (#2920)
Thanks to the following contributors to 3.7:
Tom Aarsen
Version 3.6.7 2021-12-28
* Resolve IndexError in `sent_tokenize` and `word_tokenize` (#2922)
Thanks to the following contributors to 3.6.7:
Tom Aarsen
Version 3.6.6 2021-12-21
* Refactor `gensim.doctest` to work for gensim 4.0.0 and up (#2914)
* Add Precision, Recall, F-measure, Confusion Matrix to Taggers (#2862)
* Added warnings if .zip files exist without any corresponding .csv files. (#2908)
* Fix `FileNotFoundError` when the `download_dir` is a non-existing nested folder (#2910)
* Rename omw to omw-1.4 (#2907)
* Resolve ReDoS opportunity by fixing incorrectly specified regex (#2906)
* Support OMW 1.4 (#2899)
* Deprecate Tree get and set node methods (#2900)
* Fix broken inaugural test case (#2903)
* Use Multilingual Wordnet Data from OMW with newer Wordnet versions (#2889)
* Keep NLTKs "tokenize" module working with pathlib (#2896)
* Make prettyprinter to be more readable (#2893)
* Update links to the nltk book (#2895)
* Add `CITATION.cff` to nltk (#2880)
* Resolve serious ReDoS in PunktSentenceTokenizer (#2869)
* Delete old CI config files (#2881)
* Improve Tokenize documentation + add TokenizerI as superclass for TweetTokenizer (#2878)
* Fix expected value for BLEU score doctest after changes from #2572
* Add multi Bleu functionality and tests (#2793)
* Deprecate 'return_str' parameter in NLTKWordTokenizer and TreebankWordTokenizer (#2883)
* Allow empty string in CFG's + more (#2888)
* Partition `tree.py` module into `tree` package + pickle fix (#2863)
* Fix several TreebankWordTokenizer and NLTKWordTokenizer bugs (#2877)
* Rewind Wordnet data file after each lookup (#2868)
* Correct __init__ call for SyntaxCorpusReader subclasses (#2872)
* Documentation fixes (#2873)
* Fix levenstein distance for duplicated letters (#2849)
* Support alternative Wordnet versions (#2860)
* Remove hundreds of formatting warnings for nltk.org (#2859)
* Modernize `nltk.org/howto` pages (#2856)
* Fix Bleu Score smoothing function from taking log(0) (#2839)
* Update third party tools to newer versions and removing MaltParser fixed version (#2832)
* Fix TypeError: _pretty() takes 1 positional argument but 2 were given in sem/drt.py (#2854)
* Replace `http` with `https` in most URLs (#2852)
Thanks to the following contributors to 3.6.6:
Adam Hawley, BatMrE, Danny Sepler, Eric Kafe, Gavish Poddar, Panagiotis Simakis,
RnDevelover, Robby Horvath, Tom Aarsen, Yuta Nakamura, Mohaned Mashaly
Version 3.6.5 2021-10-11
* modernised nltk.org website
* addressed LGTM.com issues
* support ZWJ sequences emoji and skin tone modifer emoji in TweetTokenizer
* METEOR evaluation now requires pre-tokenized input
* Code linting and type hinting
* implement get_refs function for DrtLambdaExpression
* Enable automated CoreNLP, Senna, Prover9/Mace4, Megam, MaltParser CI tests
* specify minimum regex version that supports regex.Pattern
* avoid re.Pattern and regex.Pattern which fail for Python 3.6, 3.7
Thanks to the following contributors to 3.6.5:
Tom Aarsen, Saibo Geng, Mohaned Mashaly, Dimitri Papadopoulos, Danny Sepler,
Ahmet Yildirim, RnDevelover, yutanakamura
Version 3.6.4 2021-10-01
* deprecate `nltk.usage(obj)` in favor of `help(obj)`
* resolve ReDoS vulnerability in Corpus Reader
* solidify performance tests
* improve phone number recognition in tweet tokenizer
* refactored CISTEM stemmer for German
* identify NLTK Team as the author
* replace travis badge with github actions badge
* add SECURITY.md
Thanks to the following contributors to 3.6.4:
Tom Aarsen, Mohaned Mashaly, Dimitri Papadopoulos Orfanos, purificant, Danny Sepler
Version 3.6.3 2021-09-19
* Dropped support for Python 3.5
* Run CI tests on Windows, too
* Moved from Travis CI to GitHub Actions
* Code and comment cleanups
* Visualize WordNet relation graphs using Graphviz
* Fixed large error in METEOR score
* Apply isort, pyupgrade, black, added as pre-commit hooks
* Prevent debug_decisions in Punkt from throwing IndexError
* Resolved ZeroDivisionError in RIBES with dissimilar sentences
* Initialize WordNet IC total counts with smoothing value
* Fixed AttributeError for Arabic ARLSTem2 stemmer
* Many fixes and improvements to lm language model package
* Fix bug in nltk.metrics.aline, C_skip = -10
* Improvements to TweetTokenizer
* Optional show arg for FreqDist.plot, ConditionalFreqDist.plot
* edit_distance now computes Damerau-Levenshtein edit-distance
Thanks to the following contributors to 3.6.3:
Tom Aarsen, Abhijnan Bajpai, Michael Wayne Goodman, Michał Górny, Maarten ter Huurne,
Manu Joseph, Eric Kafe, Ilia Kurenkov, Daniel Loney, Rob Malouf, Mohaned Mashaly,
purificant, Danny Sepler, Anthony Sottile
Version 3.6.2 2021-04-20
* move test code to nltk/test
* clean up some doctests
* fix bug in NgramAssocMeasures (order preserving fix)
* fixes for compatibility with Pypy 7.3.4
Thanks to the following contributors to 3.6.2:
Ruben Cartuyvels, Rob Malouf, Dalton Pearson, Danny Sepler
Version 3.6 2021-04-07
* add support for Python 3.9
* add Tree.fromlist
* compute Minimum Spanning Tree of unweighted graph using BFS
* fix bug with infinite loop in Wordnet closure and tree
* fix bug in calculating BLEU using smoothing method 4
* Wordnet synset similarities work for all pos
* new Arabic light stemmer (ARLSTem2)
* new syllable tokenizer (LegalitySyllableTokenizer)
* remove nose in favor of pytest
* misc bug fixes, code cleanups, test cleanups, efficiency improvements
Thanks to the following contributors to 3.6:
Tom Aarsen, K Abainia, Akshita Bhagia, Andrew Bird, Thomas Bird,
Tom Conroy, Christopher Hench, Andrew Jorgensen, Eric Kafe,
Ilia Kurenkov, Yeting Li, Joseph Manu, Marius Mather, Denali Molitor,
Jacob Moorman, Philippe Ombredanne, Vassilis Palassopoulos, Ram Rachum,
Danny Sepler, Or Sharir, Brad Solomon, Hiroki Teranishi, Constantin Weisser,
Pratap Yadav, Louis Yang
Version 3.5 2020-04-13
* add support for Python 3.8
* drop support for Python 2
* create NLTK's own Tokenizer class distinct from the Treebank reference tokeniser
* update Vader sentiment analyser
* fix JSON serialization of some PoS taggers
* minor improvements in grammar.CFG, Vader, pl196x corpus reader, StringTokenizer
* change implementation <= and >= for FreqDist so they are partial orders
* make FreqDist iterable
* correctly handle Penn Treebank trees with a unlabeled branching top node.
Thanks to the following contributors to 3.5:
Nicolas Darr, Gerhard Kremer, Liling Tan, Christopher Hench, Alexandre Dias, Hervé Nicol,
Pierpaolo Pantone, Bonifacio de Oliveira, Maciej Gawinecki, BLKSerene, hoefling, alvations,
pyfisch, srhrshr
Version 3.4.5 2019-08-20
* Fixed security bug in downloader: Zip slip vulnerability - for the unlikely
situation where a user configures their downloader to use a compromised server
https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-14751)
Thanks to the following contributors to 3.4.5:
Mike Salvatore
Version 3.4.4 2019-07-04
* fix bug in plot function (probability.py)
* add improved PanLex Swadesh corpus reader
Thanks to the following contributors to 3.4.4:
Devashish Lal, Liling Tan
Version 3.4.3 2019-06-07
* add Text.generate()
* add QuadgramAssocMeasures
* add SSP to tokenizers
* return confidence of best tag from AveragedPerceptron
* make plot methods return Axes objects
* don't require list arguments to PositiveNaiveBayesClassifier.train
* fix Tree classes to work with native Python copy library
* fix inconsistency for NomBank
* fix random seeding in LanguageModel.generate
* fix ConditionalFreqDist mutation on tabulate/plot call
* fix broken links in documentation
* fix misc Wordnet issues
* update installation instructions
Thanks to the following contributors to 3.4.3:
alvations, Bharat123rox, cifkao, drewmiller, free-variation, henchc
irisxzhou, nick-ulle, ppartarr, simonepri, yigitsever, zhaoyanpeng
Version 3.4.1 2019-04-17
* add chomsky_normal_form for CFGs
* add meteor score
* add minimum edit/Levenshtein distance based alignment function
* allow access to collocation list via text.collocation_list()
* support corenlp server options
* drop support for Python 3.4
* other minor fixes
Thanks to the following contributors to 3.4.1:
Adrian Ellis, Andrew Martin, Ayush Kaushal, BLKSerene, Bharat
Raghunathan, Franklin Chen, KMiNT21 Kevin Brown, Liling Tan,
Matan Rak, Nat Quayle Nelson, Osman Zubair, Purificant,
Uday Krishna, Viresh Gupta
Version 3.4 2018-11-17
* Support Python 3.7
* Language Modeling incl Kneser-Ney, Witten-Bell, Good-Turing
* Cistem Stemmer for German
* Support Russian National Corpus incl POS tag model
* Decouple sentiment and twitter packages
* Minor extensions for WordNet
* K-alpha
* Fix warning messages for corenlp
* Comprehensive code cleanups
* Many other minor fixes
* Switch continuous integration from Jenkins to Travis
Special thanks to Ilia Kurenkov (Language Model package), Liling Tan (Python 3.7, Travis-CI),
and purificant (code cleanups). Thanks also to: Afshin Sadeghi, Ales Tamchyna, Alok Debnath,
aquatiko, Coykto, Denis Kataev, dnc1994, Fabian Howard, Frankie Robertson, Iaroslav Tymchenko,
Jayakrishna Sahit, LBenzahia, Leonie Weißweiler, Linghao Zhang, Rohit Kumar, sahitpj,
Tim Gianitsos, vagrant, 53X
Version 3.3 2018-05-06
* Support Python 3.6
* New interface to CoreNLP
* Support synset retrieval by sense key
* Minor fixes to CoNLL Corpus Reader, AlignedSent
* Fixed minor inconsistencies in APIs and API documentation
* Better conformance to PEP8
* Drop moses.py (incompatible license)
Special thanks to Liling Tan for leading our transition to Python 3.6.
Thanks to other contributors listed here: https://github.com/nltk/nltk/blob/develop/AUTHORS.md
Version 3.2.5 2017-09-24
* Arabic stemmers (ARLSTem, Snowball)
* NIST MT evaluation metric and added NIST international_tokenize
* Moses tokenizer
* Document Russian tagger
* Fix to Stanford segmenter
* Improve treebank detokenizer, VerbNet, Vader
* Misc code and documentation cleanups
* Implement fixes suggested by LGTM
Thanks to the following contributors to 3.2.5:
Ali Abdullah, Lakhdar Benzahia, Henry Elder, Campion Fellin,
Tsolak Ghukasyan, Thanh Ha, Jean Helie, Nelson Liu,
Nathan Schneider, Chintan Shah, Fábio Silva, Liling Tan,
Ziyao Wei, Zicheng Xu, Albert Au Yeung, AbdealiJK,
porqupine, sbagan, xprogramer
Version 3.2.4 2017-05-21
* remove load-time dependency on Python requests library
* add support for Arabic in StanfordSegmenter
* fix MosesDetokenizer on irregular quote tokens
Thanks to the following contributors to 3.2.4:
Alex Constantin, Hatem Nassrat, Liling Tan
Version 3.2.3 2017-05-16
* new interface to Stanford CoreNLP Web API
* improved Lancaster stemmer with customizable rules from Whoosh
* improved Treebank tokenizer
* improved support for GLEU score
* adopt new Abstract base class style
* support custom tab files for extending WordNet
* make synset_from_pos_and_offset a public method
* make non-English WordNet lemma lookups case-insensitive
* speed up TnT tagger
* speed up FreqDist and ConditionalFreqDist
* support additional quotes in TreebankWordTokenizer
* clean up Tk's postscript output
* drop explicit support for corpora not distributed with NLTK to streamline testing
* allow iterator in perceptron tagger training
* allow for curly bracket quantifiers in chunk.regexp.CHUNK_TAG_PATTERN
* new corpus reader for MWA subset of PPDB
* improved testing framework
Thanks to the following contributors to 3.2.3:
Mark Amery, Carl Bolz, Abdelhak Bougouffa, Matt Chaput, Michael Goodman,
Jaehoon Hwang, Naoya Kanai, Jackson Lee, Christian Meyer, Dmitrijs Milajevs,
Adam Nelson, Pierpaolo Pantone, Liling Tan, Vilhjalmur Thorsteinsson,
Arthur Tilley, jmhutch, Yorwba, eromoe and others
Version 3.2.2 2016-12-31
* added Kondrak's Aline algorithm
* added ChrF and GLEU MT evaluation metrics
* added Russian pos tagger model
* added Moses detokenizer
* rewrite Porter Stemmer
* rewrite FrameNet corpus reader
(adds frame parameter to fes(), lus(), exemplars()
see https://www.nltk.org/howto/framenet.html)
* updated FrameNet Corpus to version 1.7
* fixes to stanford_segmenter.py, SentiText, CoNLL Corpus Reader
* fixes to BLEU, naivebayes, Krippendorff's alpha, Punkt
* fixes to tests for TransitionParser, Senna, edit distance
* fixes to Moses Tokenizer and Detokenizer
* improved TweetTokenizer
* strip trailing whitespace when splitting sentences
* handle inverted exclamation mark in ToktokTokenizer
* resolved some issues with Python 3.5 support
* improvements to testing framework
* clean up dependencies
Thanks to the following contributors to 3.2.2:
Prasasto Adi, Mark Amery, Geoff Bacon, George Berry, Colin Carroll, Alexis Dimitriadis,
Nicholas Fabina, German Ferrero, Tsolak Ghukasyan, Hyuckin David Lim, Naoya Kanai,
Greg Kondrak, Igor Korolev, Tim Leslie, Rob Malouf, Heguang Miao, Dmitrijs Milajevs,
Adam Nelson, Dennis O'Brien, Qi Liu, Pierpaolo Pantone, Andy Reagan, Mike Recachinas,
Nathan Schneider, Jānis Šlapiņš, Richard Snape, Liling Tan, Marcus Uneson,
Linghao Zhang, drevicko, SaintNazaire
Version 3.2.1 2016-04-09
* Support for CCG semantics, Stanford segmenter, VADER lexicon
* Fixes to BLEU score calculation, CHILDES corpus reader
* Other miscellaneous fixes
Thanks to the following contributors to 3.2.1:
Andrew Giel, Casper Lehmann-Strøm, David Madl, Tanin Na Nakorn,
Guilherme Nardari, Philippe Ombredanne, Nathan Schneider, Liling Tan,
Josiah Wang, venticello
Version 3.2 2016-03-03
* Fixes for Python 3.5
* Code cleanups now Python 2.6 is no longer supported
* Improvements to documentation
* Comprehensive use of os.path for platform-specific path handling
* Support for PanLex
* Support for third party download locations for NLTK data
* Fix bugs in IBM method 3 smoothing and BLEU calculation
* Support smoothing for BLEU score and corpus-level BLEU
* Support RIBES score
* Improvements to TweetTokenizer
* Updates for Stanford API
* Add mathematical operators to ConditionalFreqDist
* Fix bug in sentiwordnet for adjectives
* Merged internal implementations of Trie
Thanks to the following contributors to 3.2:
Santiago Castro, Jihun Choi, Graham Christensen, Andrew Drozdov, Long
Duong, Kyriakos Georgiou, Michael Wayne Goodman, Clark Grubb, Tah Wei
Hoon, David Kamholz, Ewan Klein, Reed Loden, Rob Malouf, Philippe
Ombredanne, Josh Owen, Pierpaolo Pantone, Mike Recachinas, Elijah
Rippeth, Thomas Stieglmaier, Liling Tan, Philip Tzou, Pratap Vardhan.
Version 3.1 2015-10-15
* Fixes for Python 3.5 (drop support for capturing groups in regexp tokenizer)
* Drop support for Python 2.6
* Adopt perceptron tagger for new default POS tagger nltk.pos_tag
* Stanford Neural Dependency Parser wrapper
* Sentiment analysis package incl VADER
* Improvements to twitter package
* Multi word expression tokenizer
* Support for everygram and skipgram
* consistent evaluation metric interfaces, putting reference before hypothesis
* new nltk.translate module, incorporating the old align module
* implement stack decoder
* clean up Alignment interface
* CorpusReader method to support access to license and citation
* Multext East Corpus and MTECorpusReader
* include six module to streamline installation on MS Windows
Thanks to the following contributors to 3.1:
Le Tuan Anh, Petra Barancikova, Alexander Böhm, Francis Bond,
Long Duong, Anna Garbar, Matthew Honnibal, Tah Wei Hoon, Ewan Klein,
Rob Malouf, Dmitrijs Milajevs, Will Monroe, Sergio Oller, Pierpaolo
Pantone, Jacob Perkins, Lorenzo Rubio, Thomas Stieglmaier, Liling Tan,
Pratap Vardhan
Version 3.0.5 2015-09-05
* rewritten IBM models, and new IBM Model 4 and 5 implementations
* new Twitter package
* stabilized MaltParser API
* improved regex tagger
* improved documentation on contributing
* minor improvements to documentation and testing
Thanks to the following contributors to 3.0.5:
Álvaro Justen, Dmitrijs Milajevs, Ewan Klein, Heran Lin, Justin Hammar,
Liling Tan, Long Duong, Lorenzo Rubio, Pierpaolo Pantone, Tah Wei Hoon
Version 3.0.4 2015-07-13
* minor bug fixes and enhancements
Thanks to the following contributors to 3.0.4:
Nicola Bova, Santiago Castro, Len Remmerswaal, Keith Suderman, kabayan55,
pln-fing-udelar (NLP Group, Instituto de Computación, Facultad de Ingeniería, Universidad de la República, Uruguay).
Version 3.0.3 2015-06-12
* bug fixes (Stanford NER, Boxer, Snowball, treebank tokenizer,
dependency graph, KneserNey, BLEU)
* code clean-ups
* default POS tagger permits tagset to be specified
* gensim illustration
* tgrep implementation
* added PanLex Swadesh corpora
* visualisation for aligned bitext
* support for Google App Engine
* POSTagger renamed StanfordPOSTagger, NERTagger renamed StanfordNERTagger
Thanks to the following contributors to 3.0.3:
Long Duong, Pedro Fialho, Dan Garrette, Helder, Saimadhav Heblikar,
Chris Inskip, David Kamholz, Dmitrijs Milajevs, Smitha Milli,
Tom Mortimer-Jones, Avital Pekker, Jonathan Pool, Sam Raker,
Will Roberts, Dmitry Sadovnychyi, Nathan Schneider, Anirudh W
Version 3.0.2 2015-03-13
* make pretty-printing method names consistent
* improvements to Portuguese stemmer
* transition-based dependency parsers
* dependency graph visualisation for ipython notebook
* interfaces for Senna, BLLIP, python-crfsuite
* NKJP corpus reader
* code clean ups, minor bug fixes
Thanks to the following contributors to 3.0.2:
Long Duong, Saimadhav Heblikar, Helder, Mikhail Korobov, Denis Krusko,
Alex Louden, Felipe Madrigal, David McClosky, Dmitrijs Milajevs,
Ondrej Platek, Nathan Schneider, Dávid Márk Nemeskey, 0ssifrage, ducki13, kiwipi.
Version 3.0.1 2015-01-12
* fix setup.py for new version of setuptools
Version 3.0.0 2014-09-07
* minor bugfixes
* added phrase extraction code by Liling Tan and Fredrik Hedman
Thanks to the following contributors to 3.0.0:
Mark Amery, Ivan Barria, Ingolf Becker, Francis Bond, Lars
Buitinck, Cristian Capdevila, Arthur Darcet, Michelle Fullwood,
Dan Garrette, Dougal Graham, Dan Garrette, Dougal Graham, Lauri
Hallila, Tyler Hartley, Fredrik Hedman, Ofer Helman, Bruce Hill,
Marcus Huderle, Nancy Ide, Nick Johnson, Angelos Katharopoulos,
Ewan Klein, Mikhail Korobov, Chris Liechti, Peter Ljunglof,
Joseph Lynch, Haejoong Lee, Peter Ljunglöf, Dean Malmgren, Rob
Malouf, Thorsten Marek, Dmitrijs Milajevs, Shari A’aidil
Nasruddin, Lance Nathan, Joel Nothman, Alireza Nourian, Alexander
Oleynikov, Ted Pedersen, Jacob Perkins, Will Roberts, Alex
Rudnick, Nathan Schneider, Geraldine Sim Wei Ying, Lynn Soe,
Liling Tan, Louis Tiao, Marcus Uneson, Yu Usami, Steven Xu, Zhe
Wang, Chuck Wooters, lade, isnowfy, onesandzeros, pquentin, wvanlint
Version 3.0b2 2014-08-21
* minor bugfixes and clean-ups
* renamed remaining parse_ methods to read_ or load_, cf issue #656
* added Paice's method of evaluating stemming algorithms
Thanks to the following contributors to 3.0.0b2: Lars Buitinck,
Cristian Capdevila, Lauri Hallila, Ofer Helman, Dmitrijs Milajevs,
lade, Liling Tan, Steven Xu
Version 3.0.0b1 2014-07-11
* Added SentiWordNet corpus and corpus reader
* Fixed support for 10-column dependency file format
* Changed Tree initialization to use fromstring
Thanks to the following contributors to 3.0b1: Mark Amery, Ivan
Barria, Ingolf Becker, Francis Bond, Lars Buitinck, Arthur Darcet,
Michelle Fullwood, Dan Garrette, Dougal Graham, Dan Garrette, Dougal
Graham, Tyler Hartley, Ofer Helman, Bruce Hill, Marcus Huderle, Nancy
Ide, Nick Johnson, Angelos Katharopoulos, Ewan Klein, Mikhail Korobov,
Chris Liechti, Peter Ljunglof, Joseph Lynch, Haejoong Lee, Peter
Ljunglöf, Dean Malmgren, Rob Malouf, Thorsten Marek, Dmitrijs
Milajevs, Shari A’aidil Nasruddin, Lance Nathan, Joel Nothman, Alireza
Nourian, Alexander Oleynikov, Ted Pedersen, Jacob Perkins, Will
Roberts, Alex Rudnick, Nathan Schneider, Geraldine Sim Wei Ying, Lynn
Soe, Liling Tan, Louis Tiao, Marcus Uneson, Yu Usami, Steven Xu, Zhe
Wang, Chuck Wooters, isnowfy, onesandzeros, pquentin, wvanlint
Version 3.0a4 2014-05-25
* IBM Models 1-3, BLEU, Gale-Church aligner
* Lesk algorithm for WSD
* Open Multilingual WordNet
* New implementation of Brill Tagger
* Extend BNCCorpusReader to parse the whole BNC
* MASC Tagged Corpus and corpus reader
* Interface to Stanford Parser
* Code speed-ups and clean-ups
* API standardisation, including fromstring method for many objects
* Improved regression testing setup
* Removed PyYAML dependency
Thanks to the following contributors to 3.0a4:
Ivan Barria, Ingolf Becker, Francis Bond, Arthur Darcet, Dan Garrette,
Ofer Helman, Dougal Graham, Nancy Ide, Ewan Klein, Mikhail Korobov,
Chris Liechti, Peter Ljunglof, Joseph Lynch, Rob Malouf, Thorsten Marek,
Dmitrijs Milajevs, Shari A’aidil Nasruddin, Lance Nathan, Joel Nothman,
Jacob Perkins, Lynn Soe, Liling Tan, Louis Tiao, Marcus Uneson, Steven Xu,
Geraldine Sim Wei Ying
Version 3.0a3 2013-11-02
* support for FrameNet contributed by Chuck Wooters
* support for Universal Declaration of Human Rights Corpus (udhr2)
* major API changes:
- Tree.node -> Tree.label() / Tree.set_label()
- Chunk parser: top_node -> root_label; chunk_node -> chunk_label
- WordNet properties are now access methods, e.g. Synset.definition -> Synset.definition()
- relextract: show_raw_rtuple() -> rtuple(), show_clause() -> clause()
* bugfix in texttiling
* replaced simplify_tags with support for universal tagset (simplify_tags=True -> tagset='universal')
* Punkt default behavior changed to realign sentence boundaries after trailing parenthesis and quotes
* deprecated classify.svm (use scikit-learn instead)
* various efficiency improvements
Thanks to the following contributors to 3.0a3:
Lars Buitinck, Marcus Huderle, Nick Johnson, Dougal Graham, Ewan Klein,
Mikhail Korobov, Haejoong Lee, Peter Ljunglöf, Dean Malmgren, Lance Nathan,
Alexander Oleynikov, Nathan Schneider, Chuck Wooters, Yu Usami, Steven Xu,
pquentin, wvanlint
Version 3.0a2 2013-07-12
* speed improvements in word_tokenize, GAAClusterer, TnT tagger, Baum Welch, HMM tagger
* small improvements in collocation finders, probability, modelling, Porter Stemmer
* bugfix in lowest common hypernyn calculation (used in path similarity measures)
* code cleanups, docstring cleanups, demo fixes
Thanks to the following contributors to 3.0a2:
Mark Amery, Lars Buitinck, Michelle Fullwood, Dan Garrette, Dougal Graham,
Tyler Hartley, Bruce Hill, Angelos Katharopoulos, Mikhail Korobov,
Rob Malouf, Joel Nothman, Ted Pedersen, Will Roberts, Alex Rudnick,
Steven Xu, isnowfy, onesandzeros
Version 3.0a1 2013-02-14
* reinstated tkinter support (Haejoong Lee)
Version 3.0a0 2013-01-14
* alpha release of first version to support Python 2.6, 2.7, and 3.
Version 2.0.4 2012-11-07
* minor bugfix (removed numpy dependency)
Version 2.0.3 2012-09-24
* fixed corpus/reader/util.py to support Python 2.5
* make MaltParser safe to use in parallel
* fixed bug in inter-annotator agreement
* updates to various doctests (nltk/test)
* minor bugfixes
Thanks to the following contributors to 2.0.3:
Robin Cooper, Pablo Duboue, Christian Federmann, Dan Garrette, Ewan Klein,
Pierre-François Laquerre, Max Leonov, Peter Ljunglöf, Nitin Madnani, Ceri Stagg
Version 2.0.2 2012-07-05
* improvements to PropBank, NomBank, and SemCor corpus readers
* interface to full Penn Treebank Corpus V3 (corpus.ptb)
* made wordnet.lemmas case-insensitive
* more flexible padding in model.ngram
* minor bugfixes and documentation enhancements
* better support for automated testing
Thanks to the following contributors to 2.0.2:
Daniel Blanchard, Mikhail Korobov, Nitin Madnani, Duncan McGreggor,
Morten Neergaard, Nathan Schneider, Rico Sennrich.
Version 2.0.1 2012-05-15
* moved NLTK to GitHub: https://github.com/nltk
* set up integration testing: https://jenkins.shiningpanda.com/nltk/ (Morten Neergaard)
* converted documentation to Sphinx format: https://www.nltk.org/api/nltk.html
* dozens of minor enhancements and bugfixes: https://github.com/nltk/nltk/commits/
* dozens of fixes for conformance with PEP-8
* dozens of fixes to ensure operation with Python 2.5
* added interface to Lin's Dependency Thesaurus (Dan Blanchard)
* added interface to scikit-learn classifiers (Lars Buitinck)
* added segmentation evaluation measures (David Doukhan)
Thanks to the following contributors to 2.0.1 (since 2.0b9, July 2010):
Rami Al-Rfou', Yonatan Becker, Steven Bethard, Daniel Blanchard, Lars
Buitinck, David Coles, Lucas Cooper, David Doukhan, Dan Garrette,
Masato Hagiwara, Michael Hansen, Michael Heilman, Rebecca Ingram,
Sudharshan Kaushik, Mikhail Korobov, Peter Ljunglof, Nitin Madnani,
Rob Malouf, Tomonori Nagano, Morten Neergaard, David Nemeskey,
Joel Nothman, Jacob Perkins, Alessandro Presta, Alex Rudnick,
Nathan Schneider, Stefano Lattarini, Peter Stahl, Jason Yoder
Version 2.0.1 (rc1) 2011-04-11
NLTK:
* added interface to the Stanford POS Tagger
* updates to sem.Boxer, sem.drt.DRS
* allow unicode strings in grammars
* allow non-string features in classifiers
* modifications to HunposTagger
* issues with DRS printing
* fixed bigram collocation finder for window_size > 2
* doctest paths no longer presume unix-style pathname separators
* fixed issue with NLTK's tokenize module colliding with the Python tokenize module
* fixed issue with stemming Unicode strings
* changed ViterbiParser.nbest_parse to parse
* ChaSen and KNBC Japanese corpus readers
* preserve case in concordance display
* fixed bug in simplification of Brown tags
* a version of IBM Model 1 as described in Koehn 2010
* new class AlignedSent for aligned sentence data and evaluation metrics
* new nltk.util.set_proxy to allow easy configuration of HTTP proxy
* improvements to downloader user interface to catch URL and HTTP errors
* added CHILDES corpus reader
* created special exception hierarchy for Prover9 errors
* significant changes to the underlying code of the boxer interface
* path-based wordnet similarity metrics use a fake root node for verbs, following the Perl version
* added ability to handle multi-sentence discourses in Boxer
* added the 'english' Snowball stemmer
* simplifications and corrections of Earley Chart Parser rules
* several changes to the feature chart parsers for correct unification
* bugfixes: FreqDist.plot, FreqDist.max, NgramModel.entropy, CategorizedCorpusReader, DecisionTreeClassifier
* removal of Python >2.4 language features for 2.4 compatibility
* removal of deprecated functions and associated warnings
* added semantic domains to wordnet corpus reader
* changed wordnet similarity functions to include instance hyponyms
* updated to use latest version of Boxer
Data:
* JEITA Public Morphologically Tagged Corpus (in ChaSen format)
* KNB Annotated corpus of Japanese blog posts
* Fixed some minor bugs in alvey.fcfg, and added number of parse trees in alvey_sentences.txt
* added more comtrans data
Documentation:
* minor fixes to documentation
* NLTK Japanese book (chapter 12) by Masato Hagiwara
NLTK-Contrib:
* Viethen and Dale referring expression algorithms
Version 2.0b9 2010-07-25
NLTK:
* many code and documentation cleanups
* Added port of Snowball stemmers
* Fixed loading of pickled tokenizers (issue 556)
* DecisionTreeClassifier now handles unknown features (issue 570)
* Added error messages to LogicParser
* Replaced max_models with end_size to prevent Mace from hanging
* Added interface to Boxer
* Added nltk.corpus.semcor to give access to SemCor 3.0 corpus (issue 530)
* Added support for integer- and float-valued features in maxent classifiers
* Permit NgramModels to be pickled
* Added Sourced Strings (see test/sourcedstring.doctest for details)
* Fixed bugs in with Good-Turing and Simple Good-Turing Estimation (issue 26)
* Add support for span tokenization, aka standoff annotation of segmentation (incl Punkt)
* allow unicode nodes in Tree.productions()
* Fixed WordNet's morphy to be consistent with the original implementation,
taking the shortest returned form instead of an arbitrary one (issues 427, 487)
* Fixed bug in MaxentClassifier
* Accepted bugfixes for YCOE corpus reader (issue 435)
* Added test to _cumulative_frequencies() to correctly handle the case when no arguments are supplied
* Added a TaggerI interface to the HunPos open-source tagger
* Return 0, not None, when no count is present for a lemma in WordNet
* fixed pretty-printing of unicode leaves
* More efficient calculation of the leftcorner relation for left corner parsers
* Added two functions for graph calculations: transitive closure and inversion.
* FreqDist.pop() and FreqDist.popitems() now invalidate the caches (issue 511)
Data:
* Added SemCor 3.0 corpus (Brown Corpus tagged with WordNet synsets)
* Added LanguageID corpus (trigram counts for 451 languages)
* Added grammar for a^n b^n c^n
NLTK-Contrib:
* minor updates
Thanks to the following contributors to 2.0b9:
Steven Bethard, Francis Bond, Dmitry Chichkov, Liang Dong, Dan Garrette,
Simon Greenhill, Bjorn Maeland, Rob Malouf, Joel Nothman, Jacob Perkins,
Alberto Planas, Alex Rudnick, Geoffrey Sampson, Kevin Scannell, Richard Sproat
Version 2.0b8 2010-02-05
NLTK:
* fixed copyright and license statements
* removed PyYAML, and added dependency to installers and download instructions
* updated to LogicParser, DRT (Dan Garrette)
* WordNet similarity metrics return None instead of -1 when
they fail to find a path (Steve Bethard)
* shortest_path_distance uses instance hypernyms (Jordan Boyd-Graber)
* clean_html improved (Bjorn Maeland)
* batch_parse, batch_interpret and batch_evaluate functions allow
grammar or grammar filename as argument
* more Portuguese examples (portuguese_en.doctest, examples/pt.py)
NLTK-Contrib:
* Aligner implementations (Christopher Crowner, Torsten Marek)
* ScriptTranscriber package (Richard Sproat and Kristy Hollingshead)
Book:
* updates for second printing, correcting errata
https://nltk.googlecode.com/svn/trunk/nltk/doc/book/errata.txt
Data:
* added Europarl sample, with 10 docs for each of 11 langs (Nitin Madnani)
* added SMULTRON sample corpus (Torsten Marek, Martin Volk)
Version 2.0b7 2009-11-09
NLTK:
* minor bugfixes and enhancements: data loader, inference package, FreqDist, Punkt
* added Portuguese example module, similar to nltk.book for English (examples/pt.py)
* added all_lemma_names() method to WordNet corpus reader
* added update() and __add__() extensions to FreqDist (enhances alignment with Python 3.0 counters)
* reimplemented clean_html
* added test-suite runner for automatic/manual regression testing
NLTK-Data:
* updated Punkt models for sentence segmentation
* added corpus of the works of Machado de Assis (Brazilian Portuguese)
Book:
* Added translation of preface into Portuguese, contributed by Tiago Tresoldi.
Version 2.0b6 2009-09-20
NLTK:
* minor fixes for Python 2.4 compatibility
* added words() method to XML corpus reader
* minor bugfixes and code clean-ups
* fixed downloader to put data in %APPDATA% on Windows
Data:
* Updated Punkt models
* Fixed utf8 encoding issues with UDHR and Stopwords Corpora
* Renamed CoNLL "cat" files to "esp" (different language)
* Added Alvey NLT feature-based grammar
* Added Polish PL196x corpus
Version 2.0b5 2009-07-19
NLTK:
* minor bugfixes (incl FreqDist, Python eggs)
* added reader for Europarl Corpora (contributed by Nitin Madnani)
* added reader for IPI PAN Polish Corpus (contributed by Konrad Goluchowski)
* fixed data.py so that it doesn't generate a warning for Windows Python 2.6
NLTK-Contrib:
* updated Praat reader (contributed by Margaret Mitchell)
Version 2.0b4 2009-07-10
NLTK:
* switched to Apache License, Version 2.0
* minor bugfixes in semantics and inference packages
* support for Python eggs
* fixed stale regression tests
Data:
* added NomBank 1.0
* uppercased feature names in some grammars
Version 2.0b3 2009-06-25
NLTK:
* several bugfixes
* added nombank corpus reader (Paul Bedaride)
Version 2.0b2 2009-06-15
NLTK:
* minor bugfixes and optimizations for parsers, updated some doctests
* added bottom-up filtered left corner parsers,
LeftCornerChartParser and IncrementalLeftCornerChartParser.
* fixed dispersion plot bug which prevented empty plots
Version 2.0b1 2009-06-09
NLTK:
* major refactor of chart parser code and improved API (Peter Ljungl喃)
* added new bottom-up left-corner chart parser strategy
* misc bugfixes (ChunkScore, chart rules, chatbots, jcn-similarity)
* improved efficiency of "import nltk" using lazy module imports
* moved CCG package and ISRI Arabic stemmer from NLTK-Contrib into core NLTK
* misc code cleanups
Contrib:
* moved out of the main NLTK distribution into a separate distribution
Book:
* Ongoing polishing ahead of print publication
Version 0.9.9 2009-05-06
NLTK:
* Finalized API for NLTK 2.0 and the book, incl dozens of small fixes
* Names of the form nltk.foo.Bar now available as nltk.Bar
for significant functionality; in some cases the name was modified
(using old names will produce a deprecation warning)
* Bugfixes in downloader, WordNet
* Expanded functionality in DecisionTree
* Bigram collocations extended for discontiguous bigrams
* Translation toy nltk.misc.babelfish
* New module nltk.help giving access to tagset documentation
* Fix imports so that NLTK builds without Tkinter (Bjorn Maeland)
Data:
* new maxent NE chunker model
* updated grammar packages for the book
* data for new tagsets collection, documenting several tagsets
* added lolcat translation to the Genesis collection
Contrib (work in progress):
* Updates to coreference package (Joseph Frazee)
* New ISRI Arabic stemmer (Hosam Algasaier)
* Updates to Toolbox package (Greg Aumann)
Book:
* Substantial editorial corrections ahead of final submission
Version 0.9.8 2009-02-18
NLTK:
* New off-the-shelf tokenizer, POS tagger, and named-entity tagger
* New metrics package with inter-annotator agreement scores,
distance metrics, rank correlation
* New collocations package (Joel Nothman)
* Many clean-ups to WordNet package (Steven Bethard, Jordan Boyd-Graber)
* Moved old pywordnet-based WordNet package to nltk_contrib
* WordNet browser (Paul Bone)
* New interface to dependency treebank corpora
* Moved MinimalSet class into nltk.misc package
* Put NLTK applications in new nltk.app package
* Many other improvements incl semantics package, toolbox, MaltParser
* Misc changes to many API names in preparation for 1.0, old names deprecated
* Most classes now available in the top-level namespace
* Work on Python egg distribution (Brandon Rhodes)
* Removed deprecated code remaining from 0.8.* versions
* Fixes for Python 2.4 compatibility
Data:
* Corrected identifiers in Dependency Treebank corpus
* Basque and Catalan Dependency Treebanks (CoNLL 2007)
* PE08 Parser Evaluation data
* New models for POS tagger and named-entity tagger
Book:
* Substantial editorial corrections
Version 0.9.7 2008-12-19
NLTK:
* fixed problems with accessing zipped corpora
* improved design and efficiency of grammars and chart parsers
including new bottom-up combine strategy and a redesigned
Earley strategy (Peter Ljunglof)
* fixed bugs in smoothed probability distributions and added
regression tests (Peter Ljunglof)
* improvements to Punkt (Joel Nothman)
* improvements to text classifiers
* simple word-overlap RTE classifier
Data:
* A new package of large grammars (Peter Ljunglof)
* A small gazetteer corpus and corpus reader
* Organized example grammars into separate packages
* Childrens' stories added to gutenberg package
Contrib (work in progress):
* fixes and demonstration for named-entity feature extractors in nltk_contrib.coref
Book:
* extensive changes throughout, including new chapter 5 on classification
and substantially revised chapter 11 on managing linguistic data
Version 0.9.6 2008-12-07
NLTK:
* new WordNet corpus reader (contributed by Steven Bethard)
* incorporated dependency parsers into NLTK (was NLTK-Contrib) (contributed by Jason Narad)
* moved nltk/cfg.py to nltk/grammar.py and incorporated dependency grammars
* improved efficiency of unification algorithm
* various enhancements to the semantics package
* added plot() and tabulate() methods to FreqDist and ConditionalFreqDist
* FreqDist.keys() and list(FreqDist) provide keys reverse-sorted by value,
to avoid the confusion caused by FreqDist.sorted()
* new downloader module to support interactive data download: nltk.download()
run using "python -m nltk.downloader all"
* fixed WordNet bug that caused min_depth() to sometimes give incorrect result
* added nltk.util.Index as a wrapper around defaultdict(list) plus
a functional-style initializer
* fixed bug in Earley chart parser that caused it to break
* added basic TnT tagger nltk.tag.tnt
* new corpus reader for CoNLL dependency format (contributed by Kepa Sarasola and Iker Manterola)
* misc other bugfixes
Contrib (work in progress):
* TIGERSearch implementation by Torsten Marek
* extensions to hole and glue semantics modules by Dan Garrette
* new coreference package by Joseph Frazee
* MapReduce interface by Xinfan Meng
Data:
* Corpora are stored in compressed format if this will not compromise speed of access
* Swadesh Corpus of comparative wordlists in 23 languages
* Split grammar collection into separate packages
* New Basque and Spanish grammar samples (contributed by Kepa Sarasola and Iker Manterola)
* Brown Corpus sections now have meaningful names (e.g. 'a' is now 'news')
* Fixed bug that forced users to manually unzip the WordNet corpus
* New dependency-parsed version of Treebank corpus sample
* Added movie script "Monty Python and the Holy Grail" to webtext corpus
* Replaced words corpus data with a much larger list of English words
* New URL for list of available NLTK corpora
https://nltk.googlecode.com/svn/trunk/nltk_data/index.xml
Book:
* complete rewrite of first three chapters to make the book accessible
to a wider audience
* new chapter on data-intensive language processing
* extensive reworking of most chapters
* Dropped subsection numbering; moved exercises to end of chapters
Distributions:
* created Portfile to support Mac installation
Version 0.9.5 2008-08-27
NLTK:
* text module with support for concordancing, text generation, plotting
* book module
* Major reworking of the automated theorem proving modules (Dan Garrette)
* draw.dispersion now uses pylab
* draw.concordance GUI tool
* nltk.data supports for reading corpora and other data files from within zipfiles
* trees can be constructed from strings with Tree(s) (cf Tree.parse(s))
Contrib (work in progress):
* many updates to student projects
- nltk_contrib.agreement (Thomas Lippincott)
- nltk_contrib.coref (Joseph Frazee)
- nltk_contrib.depparser (Jason Narad)
- nltk_contrib.fuf (Petro Verkhogliad)
- nltk_contrib.hadoop (Xinfan Meng)
* clean-ups: deleted stale files; moved some packages to misc