NTT Neural Machine Translation Systems at WAT 2019

Makoto Morishita, Jun Suzuki, Masaaki Nagata


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
Venues:
EMNLP | WAT | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
99–105
Language:
URL:
https://www.aclweb.org/anthology/D19-5211
DOI:
10.18653/v1/D19-5211
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PDF:
http://aclanthology.lst.uni-saarland.de/D19-5211.pdf