Google has unveiled SyntaxNet, an open-source neural network framework implemented in TensorFlow. This innovative software allows machines to better understand the grammatical structure of sentences, a crucial step in improving artificial intelligence. Also introduced is Parsey McParseface, an English language plug-in for SyntaxNet. It can analyse the linguistic structure of English text, breaking down sentences into their grammatical components.
Google’s SyntaxNet operates on the principle of neural networks, where the system learns from its mistakes, gradually improving its understanding of sentence structure. This is a significant advancement in natural language understanding, potentially revolutionising how machines interact with human language.
However, SyntaxNet is not without its challenges. Ambiguity in language can cause difficulties in understanding sentence structure, and the system must make educated guesses in such cases. Despite these challenges, Parsey McParseface has achieved a remarkable 94% accuracy rate in understanding English sentence structure.
Google’s release of SyntaxNet and Parsey McParseface as open-source software is a significant step in the development of artificial intelligence. It allows researchers and developers worldwide to contribute to the advancement of machine understanding of human language.
Go to source article: http://googleresearch.blogspot.co.uk/2016/05/announcing-syntaxnet-worlds-most.html