Kyoto-NMT: a Neural Machine Translation implementation in Chainer

COLING 2016  ·  Fabien Cromi{\`e}res ·

We present Kyoto-NMT, an open-source implementation of the Neural Machine Translation paradigm. This implementation is done in Python and Chainer, an easy-to-use Deep Learning Framework.

PDF Abstract COLING 2016 PDF COLING 2016 Abstract

Datasets


  Add Datasets introduced or used in this paper

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods


No methods listed for this paper. Add relevant methods here