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
- Editor:
- Hideo Watanabe
- Venue:
- COLING
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 307–311
- Language:
- URL:
- https://aclanthology.org/C16-2064
- DOI:
- Cite (ACL):
- Fabien Cromières. 2016. Kyoto-NMT: a Neural Machine Translation implementation in Chainer. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, pages 307–311, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- Kyoto-NMT: a Neural Machine Translation implementation in Chainer (Cromières, COLING 2016)
- PDF:
- https://preview.aclanthology.org/ingest-bitext-workshop/C16-2064.pdf
- Code
- fabiencro/knmt