Kyoto University Participation to the WMT 2019 News Shared Task

Fabien Cromieres, Sadao Kurohashi


Abstract
We describe here the experiments we did for the the news translation shared task of WMT 2019. We focused on the new German-to-French language direction, and mostly used current standard approaches to develop a Neural Machine Translation system. We make use of the Tensor2Tensor implementation of the Transformer model. After carefully cleaning the data and noting the importance of the good use of recent monolingual data for the task, we obtain our final result by combining the output of a diverse set of trained models through the use of their “checkpoint agreement”.
Anthology ID:
W19-5312
Volume:
Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
Month:
August
Year:
2019
Address:
Florence, Italy
Venues:
ACL | WMT | WS
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
163–167
Language:
URL:
https://www.aclweb.org/anthology/W19-5312
DOI:
10.18653/v1/W19-5312
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/W19-5312.pdf