Grammar as a Foreign Language

Syntactic parsing is a fundamental problem in computational linguistics and Natural Language Processing. Traditional approaches to parsing are highly complex and problem specific. Recently, Sutskever et al. (2014) presented a domain-independent method for learning to map input sequences to output sequences that achieved strong results on a large scale machine translation problem. In this work, we show that precisely the same sequence-to-sequence method achieves results that are close to state-of-the-art on syntactic constituency parsing, whilst making almost no assumptions about the structure of the problem.