Culture Magazine

Google Opens a a Powerful Parser to the World

By Bbenzon @bbenzon
From Google's research blog:

Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source

Thursday, May 12, 2016 Posted by Slav Petrov, Senior Staff Research Scientist
At Google, we spend a lot of time thinking about how computer systems can read and understandhuman language in order to process it in intelligent ways. Today, we are excited to share the fruits of our research with the broader community by releasing SyntaxNet, an open-source neural network framework implemented in TensorFlow that provides a foundation for Natural Language Understanding (NLU) systems. Our release includes all the code needed to train new SyntaxNet models on your own data, as well as Parsey McParseface, an English parser that we have trained for you and that you can use to analyze English text.
Parsey McParseface is built on powerful machine learning algorithms that learn to analyze the linguistic structure of language, and that can explain the functional role of each word in a given sentence. Because Parsey McParseface is the most accurate such model in the world, we hope that it will be useful to developers and researchers interested in automatic extraction of information, translation, and other core applications of NLU.  * * * * *
There's more at the blog, of course. Mark Liberman at Language Log will be posting about it in due course.

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