14351a3850
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
1107 lines
43 KiB
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1107 lines
43 KiB
Text
@comment $NetBSD: PLIST,v 1.3 2021/11/24 16:00:18 wiz Exp $
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