CUNI Submission for the Inuktitut Language in WMT News 2020

Tom Kocmi


Abstract
This paper describes CUNI submission to the WMT 2020 News Translation Shared Task for the low-resource scenario Inuktitut–English in both translation directions. Our system combines transfer learning from a Czech–English high-resource language pair and backtranslation. We notice surprising behaviour when using synthetic data, which can be possibly attributed to a narrow domain of training and test data. We are using the Transformer model in a constrained submission.
Anthology ID:
2020.wmt-1.14
Volume:
Proceedings of the Fifth Conference on Machine Translation
Month:
November
Year:
2020
Address:
Online
Editors:
Loïc Barrault, Ondřej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Yvette Graham, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
171–174
Language:
URL:
https://aclanthology.org/2020.wmt-1.14
DOI:
Bibkey:
Cite (ACL):
Tom Kocmi. 2020. CUNI Submission for the Inuktitut Language in WMT News 2020. In Proceedings of the Fifth Conference on Machine Translation, pages 171–174, Online. Association for Computational Linguistics.
Cite (Informal):
CUNI Submission for the Inuktitut Language in WMT News 2020 (Kocmi, WMT 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.wmt-1.14.pdf
Video:
 https://slideslive.com/38939666