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 2805068ca8 * Have tokens track tuples that record the start offset and pos tag as well as a lexeme pointer		2014-10-14 15:21:03 +11:00
data	* Add semi-colon to suffix punct	2014-10-14 10:43:45 +11:00
docs	* Upd docs	2014-09-26 18:40:18 +02:00
spacy	* Have tokens track tuples that record the start offset and pos tag as well as a lexeme pointer	2014-10-14 15:21:03 +11:00
tests	* Switch to new data model, tests passing	2014-10-10 08:11:31 +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	* Remove ptb3 file from setup	2014-09-25 18:41:25 +02:00

README.md

spaCy

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