💫 Industrial-strength Natural Language Processing (NLP) in Python
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2014-09-15 06:34:10 +02:00
data * Hack a hard-cased unit in to get a test to pass 2014-09-15 06:31:35 +02:00
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spacy * Fix memory error in cache, where entry wasn't being null-terminated. Various other changes, some good for performance 2014-09-15 06:34:10 +02:00
tests * Add new tests for fancier tokenization cases 2014-09-15 06:31:58 +02:00
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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
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spaCy

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