SYSTRAN @ WMT 2021: Terminology Task

Minh Quang Pham, Josep Crego, Antoine Senellart, Dan Berrebbi, Jean Senellart

Abstract
This paper describes SYSTRAN submissions to the WMT 2021 terminology shared task. We participate in the English-to-French translation direction with a standard Transformer neural machine translation network that we enhance with the ability to dynamically include terminology constraints, a very common industrial practice. Two state-of-the-art terminology insertion methods are evaluated based (i) on the use of placeholders complemented with morphosyntactic annotation and (ii) on the use of target constraints injected in the source stream. Results show the suitability of the presented approaches in the evaluated scenario where terminology is used in a system trained on generic data only.
Anthology ID:
2021.wmt-1.84
Volume:
Proceedings of the Sixth Conference on Machine Translation
Month:
November
Year:
2021
Address:
Online
Editors:
Loic Barrault, Ondrej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussa, Christian Federmann, Mark Fishel, Alexander Fraser, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Tom Kocmi, Andre Martins, Makoto Morishita, Christof Monz
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
842–850
Language:
URL:
https://aclanthology.org/2021.wmt-1.84
DOI:
Bibkey:
Cite (ACL):
Minh Quang Pham, Josep Crego, Antoine Senellart, Dan Berrebbi, and Jean Senellart. 2021. SYSTRAN @ WMT 2021: Terminology Task. In Proceedings of the Sixth Conference on Machine Translation, pages 842–850, Online. Association for Computational Linguistics.
Cite (Informal):
SYSTRAN @ WMT 2021: Terminology Task (Pham et al., WMT 2021)
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PDF:
https://preview.aclanthology.org/nschneid-patch-3/2021.wmt-1.84.pdf
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