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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal bd4f5f89cb * Add note about failed tokenization 2015-06-08 16:17:07 +02:00
bin * Fix write_parses mode of bin/parser/train.py 2015-06-07 19:08:48 +02:00
contributors Add CLA for suchow 2015-04-19 13:01:38 -07:00
docs * Upd contact information on license page 2015-06-08 02:20:31 +02:00
lang_data/en * Add hyphenation rule to infix.txt for tokenizer 2015-06-06 05:56:00 +02:00
spacy * Don't automatically push words when stack is empty, as it messes up beam parsing. Add hash method to beam state. 2015-06-08 14:49:04 +02:00
tests * Add note about failed tokenization 2015-06-08 16:17:07 +02:00
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README.md

spaCy

http://honnibal.github.io/spaCy

A pipeline for fast, state-of-the-art natural language processing. Commercial licenses available, otherwise under AGPL.

2015-05-12 v0.84

  • Bug fixes for parsing
  • Bug fixes for named entity recognition

Supports

  • CPython 2.7
  • CPython 3.4
  • OSX
  • Linux
  • Cygwin

Want to support:

  • Visual Studio

Difficult to support:

  • PyPy 2.7
  • PyPy 3.4