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* Explain acronym

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Matthew Honnibal 2015-01-26 05:10:04 +11:00
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docs/source/index.rst
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@ -8,7 +8,8 @@ spaCy: Industrial-strength NLP
==============================
`spaCy`_ is a new library for text processing in Python and Cython.
I wrote it because I think small companies are terrible at NLP. Or rather:
I wrote it because I think small companies are terrible at
natural language processing (NLP). Or rather:
small companies are using terrible NLP technology.
.. _spaCy: https://github.com/honnibal/spaCy/
@ -311,6 +312,7 @@ on the standard evaluation from the Wall Street Journal, given gold-standard
sentence boundaries and tokenization. I'm in the process of completing a more
realistic evaluation on web text.
spaCy's parser offers a better speed/accuracy trade-off than any published
system: its accuracy is within 1% of the current state-of-the-art, and it's
seven times faster than the 2014 CoreNLP neural network parser, which is the