Abstract
In this paper, we describe our systems that were submitted to the translation shared tasks at WAT 2019. This year, we participated in two distinct types of subtasks, a scientific paper subtask and a timely disclosure subtask, where we only considered English-to-Japanese and Japanese-to-English translation directions. We submitted two systems (En-Ja and Ja-En) for the scientific paper subtask and two systems (Ja-En, texts, items) for the timely disclosure subtask. Three of our four systems obtained the best human evaluation performances. We also confirmed that our new additional web-crawled parallel corpus improves the performance in unconstrained settings.- Anthology ID:
- D19-5211
- Volume:
- Proceedings of the 6th Workshop on Asian Translation
- Month:
- November
- Year:
- 2019
- Address:
- Hong Kong, China
- Editors:
- Toshiaki Nakazawa, Chenchen Ding, Raj Dabre, Anoop Kunchukuttan, Nobushige Doi, Yusuke Oda, Ondřej Bojar, Shantipriya Parida, Isao Goto, Hidaya Mino
- Venue:
- WAT
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 99–105
- Language:
- URL:
- https://aclanthology.org/D19-5211
- DOI:
- 10.18653/v1/D19-5211
- Cite (ACL):
- Makoto Morishita, Jun Suzuki, and Masaaki Nagata. 2019. NTT Neural Machine Translation Systems at WAT 2019. In Proceedings of the 6th Workshop on Asian Translation, pages 99–105, Hong Kong, China. Association for Computational Linguistics.
- Cite (Informal):
- NTT Neural Machine Translation Systems at WAT 2019 (Morishita et al., WAT 2019)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-5/D19-5211.pdf