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   2021-11-24 17:00:18 by Thomas Klausner | Files touched by this commit (3) | Package updated
Log message:
py-nltk: update to 3.6.5.

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
   2021-10-26 13:23:42 by Nia Alarie | Files touched by this commit (1161)
Log message:
textproc: Replace RMD160 checksums with BLAKE2s checksums

All checksums have been double-checked against existing RMD160 and
SHA512 hashes

Unfetchable distfiles (fetched conditionally?):
./textproc/convertlit/distinfo clit18src.zip
   2021-10-07 17:02:49 by Nia Alarie | Files touched by this commit (1162)
Log message:
textproc: Remove SHA1 hashes for distfiles
   2020-08-10 16:43:10 by Adam Ciarcinski | Files touched by this commit (3) | Package updated
Log message:
py-nltk: updated to 3.5

Version 3.5
* 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.
   2020-01-26 18:32:28 by Roland Illig | Files touched by this commit (981)
Log message:
all: migrate homepages from http to https

pkglint -r --network --only "migrate"

As a side-effect of migrating the homepages, pkglint also fixed a few
indentations in unrelated lines. These and the new homepages have been
checked manually.
   2019-05-28 16:10:04 by Thomas Klausner | Files touched by this commit (4)
Log message:
textproc/py-nltk: import py-nltk-3.4.1

Based on wip version packaged by leot, Hiramatsu Yoshifumi,
Kamel Ibn Aziz Derouiche, and myself.

NLTK - the Natural Language Toolkit - is a suite of open source
Python modules, data and documentation for research and development
in natural language processing. NLTK contains code supporting dozens
of NLP tasks, along with 30 popular Corpora and extensive documentation
including a 360-page online book.

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