SRT’s Neural Machine Translation System for WMT22 Biomedical Translation Task

Yoonjung Choi, Jiho Shin, Yonghyun Ryu, Sangha Kim

Abstract
This paper describes the Samsung Research’s Translation system (SRT) submitted to the WMT22 biomedical translation task in two language directions: English to Spanish and Spanish to English. To improve the overall quality, we adopt the deep transformer architecture and employ the back-translation strategy for monolingual corpus. One of the issues in the domain translation is to translate domain-specific terminologies well. To address this issue, we apply the soft-constrained terminology translation based on biomedical terminology dictionaries. In this paper, we provide the performance of our system with WMT20 and WMT21 biomedical testsets. Compared to the best model in WMT20 and WMT21, our system shows equal or better performance. According to the official evaluation results in terms of BLEU scores, our systems get the highest scores in both directions.
Anthology ID:
2022.wmt-1.83
Volume:
Proceedings of the Seventh Conference on Machine Translation (WMT)
Month:
December
Year:
2022
Address:
Abu Dhabi, United Arab Emirates (Hybrid)
Editors:
Philipp Koehn, Loïc Barrault, Ondřej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Tom Kocmi, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri, Aurélie Névéol, Mariana Neves, Martin Popel, Marco Turchi, Marcos Zampieri
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
901–907
Language:
URL:
https://aclanthology.org/2022.wmt-1.83
DOI:
Bibkey:
Cite (ACL):
Yoonjung Choi, Jiho Shin, Yonghyun Ryu, and Sangha Kim. 2022. SRT’s Neural Machine Translation System for WMT22 Biomedical Translation Task. In Proceedings of the Seventh Conference on Machine Translation (WMT), pages 901–907, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
Cite (Informal):
SRT’s Neural Machine Translation System for WMT22 Biomedical Translation Task (Choi et al., WMT 2022)
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PDF:
https://preview.aclanthology.org/nschneid-patch-2/2022.wmt-1.83.pdf
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