James Bradbury

Over the past few years, neural networks have driven rapid improvements in accuracy and quality for natural language tasks.

In deep learning, there are two very different ways to process input (like an image or a document).

Neural Machine Translation (NMT) systems, introduced only in 2013, have achieved state of the art results in many MT tasks.