NTT Neural Machine Translation Systems at WAT 2019
Makoto Morishita, Jun Suzuki, Masaaki Nagata · 2019
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.