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spaCy
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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal 8d20617dfd * Whitespace 2014-08-27 17:16:16 +02:00
data * Tests passing for new Word object version 2014-08-24 18:13:53 +02:00
docs * Tests passing for new Word object version 2014-08-24 18:13:53 +02:00
spacy * Whitespace 2014-08-27 17:16:16 +02:00
tests * Refactor around Word objects, adapting tests. Tests passing, except for string views. 2014-08-23 19:55:06 +02:00
.gitignore * Upd gitignore 2014-08-20 17:04:33 +02:00
README.md Initial commit 2014-07-04 01:15:40 +10:00
fabfile.py * Tests passing for new Word object version 2014-08-24 18:13:53 +02:00
requirements.txt * Temporarily remove sparsehash requirement 2014-08-20 17:12:19 +02:00
setup.py * More refactoring 2014-08-25 16:42:22 +02:00

README.md

spaCy

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