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    <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 łeftrightarrow 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 \rightarrow Hebrew and Hebrew \rightarrow English directions.</abstract>
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%0 Conference Proceedings
%T UvA-MT‘s Participation in the WMT 2023 General Translation Shared Task
%A Wu, Di
%A Tan, Shaomu
%A Stap, David
%A Araabi, Ali
%A Monz, Christof
%Y Koehn, Philipp
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Monz, Christof
%S Proceedings of the Eighth Conference on Machine Translation
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F wu-etal-2023-uva
%X 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 łeftrightarrow 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 \rightarrow Hebrew and Hebrew \rightarrow English directions.
%R 10.18653/v1/2023.wmt-1.17
%U https://aclanthology.org/2023.wmt-1.17/
%U https://doi.org/10.18653/v1/2023.wmt-1.17
%P 175-180

Markdown (Informal)

[UvA-MT’s Participation in the WMT 2023 General Translation Shared Task](https://aclanthology.org/2023.wmt-1.17/) (Wu et al., WMT 2023)

• UvA-MT’s Participation in the WMT 2023 General Translation Shared Task (Wu et al., WMT 2023)

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.