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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal 0b53fd7daa * Add test for parse tree navigation
2015-01-30 18:02:58 +11:00
bin/parser * Allow parsers and taggers to be trained on text without gold pre-processing. 2015-01-30 16:36:24 +11:00
docs * Add draft work on features 2015-01-30 16:46:52 +11:00
spacy * Ensure parser and tagger function correctly when training from missing values, indicated by -1 2015-01-30 14:08:56 +11:00
tests * Add test for parse tree navigation 2015-01-30 18:02:58 +11:00
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README.md

spaCy

http://honnibal.github.io/spaCy

Fast, state-of-the-art natural language processing pipeline. Commercial licenses available, or use under AGPL.

Tested (and working) with:

  • CPython 2.7
  • CPython 3.4
  • OSX
  • Linux

Untested:

  • Windows

Fails with:

  • PyPy 2.7
  • PyPy 3.4