explosion/spaCy

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💫 Industrial-strength Natural Language Processing (NLP) in Python

ai artificial-intelligence cython data-science deep-learning entity-linking machine-learning named-entity-recognition natural-language-processing neural-network neural-networks nlp nlp-library python spacy starred-explosion-repo starred-repo text-classification tokenization

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Matthew Honnibal 6fc06bfe2f * Hack a hard-cased unit in to get a test to pass		2014-09-15 06:31:35 +02:00
data	* Hack a hard-cased unit in to get a test to pass	2014-09-15 06:31:35 +02:00
docs	* Tweak overview docs	2014-09-07 21:29:41 +02:00
spacy	* Few nips and tucks to hash table	2014-09-15 05:03:44 +02:00
tests	* Update tokenization tests for new tokenizer rules	2014-09-15 01:32:51 +02:00
.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	* Temporarily remove sparsehash requirement	2014-08-20 17:12:19 +02:00
setup.py	* PointerHash working, efficiency is good. 6-7 mins	2014-09-13 16:43:59 +02:00

README.md

spaCy

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