Google has made Parsey McParseface software open source

One of the most difficult parts of creating Artificial Intelligence that actually appears intelligent is having it read, hear, understand and process human language. Human language is incredibly ambiguous and every sentence we speak, though perhaps clear to us because we have the ability to apply context and lived experience, could have tens of thousands of possible syntactic structures which drastically alter its meaning, making things much harder for a computer system. For example in the sentence "Alice drove down the street in her car" we can quickly establish what that means but a machine might not find it so simple and instead interpret that the street is located in Alice's car. This ambiguity might be silly to us but it isn't entirely impossible and a machine without our lived experiences would not be so quick to discard it as a possible interpretation. To help AI overcome this problem and provide a solid foundation for Natural Language Understanding systems, Google has developed SyntaxNet, an open-source neural network framework that helps AI figure out all the different ways a sentence could be understood before scoring them and establishing the most likely option.