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spaCy
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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal 4e30195c6d * Refactor morphology.pyx 2014-12-20 07:27:28 +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 * Another redraft of index.rst 2014-12-15 16:32:03 +11:00
spacy * Refactor morphology.pyx 2014-12-20 07:27:28 +11:00
tests * Add tests 2014-12-20 03:51:25 +11:00
.gitignore * Ignore cpp files from parser 2014-12-18 09:05:51 +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 * Pin preshed to a particular version 2014-12-20 04:01:32 +11:00
setup.py * Work on parser 2014-12-17 21:10:12 +11:00

README.md

spaCy

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