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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal 5b81ee716f * Use a sparse_hash_map to store happax vocab items, with a max size.
2014-07-31 17:40:43 +01:00
data * Fix error in tokenization rules 2014-07-07 05:09:34 +02:00
include * Add ext stuff, while I figure out how to get it working as a different project 2014-07-05 20:51:04 +02:00
spacy * Use a sparse_hash_map to store happax vocab items, with a max size. 2014-07-31 17:40:43 +01:00
tests * Add tests for group_by 2014-07-23 17:36:12 +01:00
.gitignore * Upd gitignore 2014-07-07 05:10:19 +02:00
fabfile.py * Add build/setup stuff 2014-07-05 20:49:34 +02:00
README.md Initial commit 2014-07-04 01:15:40 +10:00
requirements.txt * Switch to using sparsehash and murmurhash libraries out of pip 2014-07-25 15:47:27 +01:00
setup.py * Fix setup.py 2014-07-31 02:03:53 +01:00

README.md

spaCy

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