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spaCy
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💫 Industrial-strength Natural Language Processing (NLP) in Python
381 Commits 68 Branches 175 Tags 298 MiB
Python 53.6%
MDX 31.4%
Cython 10.8%
JavaScript 2.6%
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Matthew Honnibal 6b34a2f34b * Move morphological analysis into its own module, morphology.pyx 2014-12-09 21:16:17 +11:00
data * Make suffixes file use full-power regex, so that we can handle periods properly 2014-12-09 19:04:27 +11:00
docs * Upd docs 2014-12-09 16:08:01 +11:00
spacy * Move morphological analysis into its own module, morphology.pyx 2014-12-09 21:16:17 +11:00
tests * Remove test for loading ad hoc rules format 2014-12-09 16:08:45 +11:00
.gitignore * Upd gitignore 2014-11-12 23:25:27 +11:00
README.md Initial commit 2014-07-04 01:15:40 +10:00
fabfile.py * Add conll experiments 2014-11-12 23:22:05 +11:00
requirements.txt * Rename external hashing lib, from trustyc to preshed 2014-09-26 18:40:03 +02:00
setup.py * Rearrange POS stuff, so that language-specific stuff can live in language-specific modules 2014-12-07 23:52:41 +11:00

README.md

spaCy

Lightning fast, full-cream NL tokenization. Tokens are pointers to rich Lexeme structs.