CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared Task

Josef Jon, Michal Novák, João Paulo Aires, Dusan Varis, Ondřej Bojar


Abstract
This paper describes Charles University sub-mission for Terminology translation shared task at WMT21. The objective of this task is to design a system which translates certain terms based on a provided terminology database, while preserving high overall translation quality. We competed in English-French language pair. Our approach is based on providing the desired translations alongside the input sentence and training the model to use these provided terms. We lemmatize the terms both during the training and inference, to allow the model to learn how to produce correct surface forms of the words, when they differ from the forms provided in the terminology database.
Anthology ID:
2021.wmt-1.42
Volume:
Proceedings of the Sixth Conference on Machine Translation
Month:
November
Year:
2021
Address:
Online
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
354–361
Language:
URL:
https://aclanthology.org/2021.wmt-1.42
DOI:
Bibkey:
Cite (ACL):
Josef Jon, Michal Novák, João Paulo Aires, Dusan Varis, and Ondřej Bojar. 2021. CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared Task. In Proceedings of the Sixth Conference on Machine Translation, pages 354–361, Online. Association for Computational Linguistics.
Cite (Informal):
CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared Task (Jon et al., WMT 2021)
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PDF:
https://aclanthology.org/2021.wmt-1.42.pdf