UvA-MT’s Participation in the WMT 2023 General Translation Shared Task

Di Wu, Shaomu Tan, David Stap, Ali Araabi, Christof Monz


Abstract
This paper describes the UvA-MT’s submission to the WMT 2023 shared task on general machine translation. We participate in the constrained track in two directions: English Hebrew. In this competition, we show that by using one model to handle bidirectional tasks, as a minimal setting of Multilingual Machine Translation (MMT), it is possible to achieve comparable results with that of traditional bilingual translation for both directions. By including effective strategies, like back-translation, re-parameterized embedding table, and task-oriented fine-tuning, we obtained competitive final results in the automatic evaluation for both English Hebrew and Hebrew English directions.
Anthology ID:
2023.wmt-1.17
Volume:
Proceedings of the Eighth Conference on Machine Translation
Month:
December
Year:
2023
Address:
Singapore
Editors:
Philipp Koehn, Barry Haddow, Tom Kocmi, Christof Monz
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
175–180
Language:
URL:
https://aclanthology.org/2023.wmt-1.17
DOI:
10.18653/v1/2023.wmt-1.17
Bibkey:
Cite (ACL):
Di Wu, Shaomu Tan, David Stap, Ali Araabi, and Christof Monz. 2023. UvA-MT’s Participation in the WMT 2023 General Translation Shared Task. In Proceedings of the Eighth Conference on Machine Translation, pages 175–180, Singapore. Association for Computational Linguistics.
Cite (Informal):
UvA-MT’s Participation in the WMT 2023 General Translation Shared Task (Wu et al., WMT 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.wmt-1.17.pdf