Neural Machine Translation - What's Linguistics Got to Do with It?

摘要

Neural machine translation has obtained impressive results in the last few years, establishing itself as the new state of the art. This has been achieved by learning from raw text, without explicit linguistic knowledge. In this talk, I will discuss the capability of sequence-to-sequence models to learn linguistic phenomena from text, and will present recent research on incorporating explicit linguistic structure into the models.