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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal f67cb9a5a3 * Add count_tags functionto pos.pyx, which should probably live in another file. Feature set achieves 97.9 on wsj19-21, 95.85 on onto web.
2014-10-31 17:42:04 +11:00
data * Add file for infix patterns 2014-10-14 20:26:43 +11:00
docs * Update docs 2014-10-15 21:50:34 +11:00
spacy * Add count_tags functionto pos.pyx, which should probably live in another file. Feature set achieves 97.9 on wsj19-21, 95.85 on onto web. 2014-10-31 17:42:04 +11:00
tests * Upd tests for tighter interface 2014-10-30 18:15:30 +11:00
.gitignore * Upd gitignore 2014-08-20 17:04:33 +02:00
fabfile.py * Only store LexemeC structs in the vocabulary, transforming them to Lexeme objects for output. Moving away from Lexeme objects for Tokens soon. 2014-09-11 12:28:38 +02:00
README.md Initial commit 2014-07-04 01:15:40 +10:00
requirements.txt * Rename external hashing lib, from trustyc to preshed 2014-09-26 18:40:03 +02:00
setup.py * Update lexeme serialization, using a binary file format 2014-10-30 01:01:00 +11:00

README.md

spaCy

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