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* Minor edits to intro

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Matthew Honnibal 2015-01-25 01:06:14 +11:00
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@ -13,8 +13,8 @@ small companies are using terrible NLP technology.
To do great NLP, you have to know a little about linguistics, a lot To do great NLP, you have to know a little about linguistics, a lot
about machine learning, and almost everything about the latest research. about machine learning, and almost everything about the latest research.
The people who fit this description seldom join small companies, and almost The people who fit this description seldom join small companies.
never start them. Most are broke --- they've just finished grad school. Most are broke --- they've just finished grad school.
If they don't want to stay in academia, they join Google, IBM, etc. If they don't want to stay in academia, they join Google, IBM, etc.
The net result is that outside of the tech giants, commercial NLP has changed The net result is that outside of the tech giants, commercial NLP has changed
@ -40,6 +40,7 @@ So six months ago I quit my post-doc, and I've been working day and night on
spaCy since. I'm now pleased to announce an alpha release. spaCy since. I'm now pleased to announce an alpha release.
If you're a small company doing NLP, I think spaCy will seem like a minor miracle. If you're a small company doing NLP, I think spaCy will seem like a minor miracle.
It's by far the fastest NLP software ever released.
The full processing pipeline completes in 7ms per document, including accurate The full processing pipeline completes in 7ms per document, including accurate
tagging and parsing. All strings are mapped to integer IDs, tokens are linked tagging and parsing. All strings are mapped to integer IDs, tokens are linked
to embedded word representations, and a range of useful features are pre-calculated to embedded word representations, and a range of useful features are pre-calculated