Kyoto-NMT: a Neural Machine Translation implementation in Chainer

Fabien Cromières


Abstract
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.
Anthology ID:
C16-2064
Volume:
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
Month:
December
Year:
2016
Address:
Osaka, Japan
Venue:
COLING
SIG:
Publisher:
The COLING 2016 Organizing Committee
Note:
Pages:
307–311
Language:
URL:
https://www.aclweb.org/anthology/C16-2064
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/C16-2064.pdf