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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal c500d72dc2 * Temporarily disable NER, and wire up the verbose flag during training
2015-06-14 17:45:31 +02:00
bin * Temporarily disable NER, and wire up the verbose flag during training 2015-06-14 17:45:31 +02:00
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lang_data/en * Add hyphenation rule to infix.txt for tokenizer 2015-06-06 05:56:00 +02:00
spacy * Upd stateclass.print_state 2015-06-14 17:44:29 +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