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
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
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
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
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
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