Kyoto University Participation to WAT 2017
Fabien Cromieres, Raj Dabre, Toshiaki Nakazawa, Sadao Kurohashi
Abstract
We describe here our approaches and results on the WAT 2017 shared translation tasks. Following our good results with Neural Machine Translation in the previous shared task, we continue this approach this year, with incremental improvements in models and training methods. We focused on the ASPEC dataset and could improve the state-of-the-art results for Chinese-to-Japanese and Japanese-to-Chinese translations.- Anthology ID:
- W17-5714
- Volume:
- Proceedings of the 4th Workshop on Asian Translation (WAT2017)
- Month:
- November
- Year:
- 2017
- Address:
- Taipei, Taiwan
- Editors:
- Toshiaki Nakazawa, Isao Goto
- Venue:
- WAT
- SIG:
- Publisher:
- Asian Federation of Natural Language Processing
- Note:
- Pages:
- 146–153
- Language:
- URL:
- https://aclanthology.org/W17-5714
- DOI:
- Cite (ACL):
- Fabien Cromieres, Raj Dabre, Toshiaki Nakazawa, and Sadao Kurohashi. 2017. Kyoto University Participation to WAT 2017. In Proceedings of the 4th Workshop on Asian Translation (WAT2017), pages 146–153, Taipei, Taiwan. Asian Federation of Natural Language Processing.
- Cite (Informal):
- Kyoto University Participation to WAT 2017 (Cromieres et al., WAT 2017)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/W17-5714.pdf
- Code
- fabiencro/knmt