eTranslation’s Submissions to the WMT 2020 News Translation Task

Csaba Oravecz, Katina Bontcheva, László Tihanyi, David Kolovratnik, Bhavani Bhaskar, Adrien Lardilleux, Szymon Klocek, Andreas Eisele


Abstract
The paper describes the submissions of the eTranslation team to the WMT 2020 news translation shared task. Leveraging the experience from the team’s participation last year we developed systems for 5 language pairs with various strategies. Compared to last year, for some language pairs we dedicated a lot more resources to training, and tried to follow standard best practices to build competitive systems which can achieve good results in the rankings. By using deep and complex architectures we sacrificed direct re-usability of our systems in production environments but evaluation showed that this approach could result in better models that significantly outperform baseline architectures. We submitted two systems to the zero shot robustness task. These submissions are described briefly in this paper as well.
Anthology ID:
2020.wmt-1.26
Volume:
Proceedings of the Fifth Conference on Machine Translation
Month:
November
Year:
2020
Address:
Online
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
254–261
Language:
URL:
https://aclanthology.org/2020.wmt-1.26
DOI:
Bibkey:
Cite (ACL):
Csaba Oravecz, Katina Bontcheva, László Tihanyi, David Kolovratnik, Bhavani Bhaskar, Adrien Lardilleux, Szymon Klocek, and Andreas Eisele. 2020. eTranslation’s Submissions to the WMT 2020 News Translation Task. In Proceedings of the Fifth Conference on Machine Translation, pages 254–261, Online. Association for Computational Linguistics.
Cite (Informal):
eTranslation’s Submissions to the WMT 2020 News Translation Task (Oravecz et al., WMT 2020)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/2020.wmt-1.26.pdf
Video:
 https://slideslive.com/38939574