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💫 Industrial-strength Natural Language Processing (NLP) in Python
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Matthew Honnibal 220ce8bfed * Prepare English class for NER 2015-03-26 16:44:44 +01:00
bin/parser * Allow gold tokenization training, for debugging 2015-03-26 16:44:43 +01:00
contributors * Fix nested lists 2015-03-25 14:38:59 +01:00
docs * Fix quickstart 2015-03-19 00:09:39 -04:00
lang_data/en * Add en language data, for tokenizer etc 2015-02-25 17:10:32 -05:00
spacy * Prepare English class for NER 2015-03-26 16:44:44 +01:00
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requirements.txt * Require advanced version of cymem 2015-02-01 17:04:59 +11:00
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README.md

spaCy

Build Status

http://honnibal.github.io/spaCy

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

Version 0.40 released

2014-02-01

  • Several bug-fixes have now been pushed to master
  • Tests fail on some platforms, including Travis CI, due to memory errors.
  • Tests pass on my local machines OSX and Ubuntu machines (for Python2.7 and Python 3.4)

The problem is likely due to non-portable usage of the Py_UNICODE data type in my Cython code, or possibly in the binary file formats of lexemes.bin, vec.bin, or the model file read by thinc.learner.LinearModel.

I'm trying to reproduce the problem. Once this is fixed and docs are updated I will push version 0.4 to PyPi.

I have a flight from Sydney to New York in 24 hours, so this problem may remain unfixed for a few days.

Supports:

  • CPython 2.7
  • CPython 3.4
  • OSX
  • Linux

Want to support:

  • Windows

Difficult to support:

  • PyPy 2.7
  • PyPy 3.4