Meet Parsey McParseface, Google's open-source tool to help machines understand language

Human language is still one of the most difficult tasks for computers to understand, one that tech giants from Google Inc. to Microsoft Corp. and many startups and researchers are struggling to solve. Today, Google is introducing one more tool in a growing arsenal of artificial intelligence tools intended to unlock the secrets of natural language understanding. The search company is releasing SyntaxNet, an artificial neural network system for NLU systems, into open source. It will be part of Google's TensorFlow open-source library of software code, which allows developers and researchers to create their machine learning models so they can create their own services. SyntaxNet has the code needed to train new language models on a company's or researcher's own data.