SyntaxNet is Google’s open-source Tensorflow based framework for NLP.
SyntaxNet used in applications ranging from generation of email responses to translation. Today Google released a major upgrade (github) to SyntaxNet: https://research.googleblog.com/2017/03/ and pretrained models called ParseySaurus.
This upgrade incorporates nearly a year’s worth of our research on multilingual language understanding, and is available to anyone interested in building systems for processing and understanding text. At the core of the upgrade is a new technology that enables learning of richly layered representations of input sentences. More specifically, the upgrade extends TensorFlow to allow joint modeling of multiple levels of linguistic structure, and to allow neural-network architectures to be created dynamically during processing of a sentence or document.
Discussion on HackerNews: https://news.ycombinator.com/item?id=13885685
