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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal 419fef7627 * Inc version
2015-01-25 22:15:47 +11:00
bin/parser * Update parser training script for tweaked parser API 2015-01-25 02:20:49 +11:00
docs * Minor edits to index.rst 2015-01-25 22:07:08 +11:00
spacy * Add parts-of-speech file 2015-01-25 22:00:39 +11:00
tests * Fix unicode in test 2015-01-25 19:04:23 +11:00
.gitignore * Ignore cpp files within en dir 2014-12-23 15:19:01 +11:00
.travis.yml * Allow pypy test to fail 2015-01-06 13:13:04 +11:00
dev_setup.py * Upd dev_setup 2015-01-03 21:02:03 +11:00
fabfile.py * Fix clean command 2015-01-25 14:49:29 +11:00
README.md Initial commit 2014-07-04 01:15:40 +10:00
requirements.txt * Add numpy to requirements 2015-01-25 02:25:29 +11:00
setup.py * Inc version 2015-01-25 22:15:47 +11:00

README.md

spaCy

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