Google aims to accelerate natural language research's progress by sharing SyntaxNet

Google aims to accelerate natural language research’s progress by sharing SyntaxNet

Digital assistants like Siri will take a long time to have ‘natural language understanding’. Many researchers and companies are working push computers towards natural language understanding. Google is at the forefront of the research in which deep neural nets are being used to identify objects in photos and recognize the individual words spoken to digital assistants. Google has even open sourced the software that acts as the foundation for its natural language work. The newly open source software is known as SyntaxNet. Among natural language researchers, it is known as syntactic parser. With the help of deep neural networks, SyntaxNet parses in an effort to understand what role each word plays and how all of them will come together to create real meaning. In fact, the system tries to identify…


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