Google's machine learning gains natural language understanding - TechCentral.ie

Google is promoting natural language understanding with the open-sourcing of SyntaxNet, a neural network framework, and Parsey McParseface, an advanced parser for English text. Implemented in Google's open source TensorFlow machine intelligence library and released this month, SyntaxNet provides the code needed to train natural language understanding (NLU) models on data along with the Parsey McParseface parser for analysing English text. "Parsey McParseface is built on powerful machine learning algorithms that learn to analyse the linguistic structure of language and that can explain the functional role of each word in a given sentence," said Slav Petrov, Google senior staff research scientist. The project arose out of Google's pondering of how computers can read and understand human language in order to process it in intelligent ways. Accessible on GitHub, SyntaxNet serves as a framework for a syntactic parser, a key first component in many NLU systems, Petrov said.