NTTSU at WMT2025 General Translation Task

Zhang Yin, Hiroyuki Deguchi, Haruto Azami, Guanyu Ouyang, Kosei Buma, Yingyi Fu, Katsuki Chousa, Takehito Utsuro


Abstract
This paper presents the submission of NTTSU for the constrained track of the English–Japanese and Japanese–Chinese at the WMT2025 general translation task.For each translation direction, we build translation models from a large language model by combining continual pretraining, supervised fine-tuning, and preference optimization based on the translation quality and adequacy.We finally generate translations via context-aware MBR decoding to maximize translation quality and document-level consistency.
Anthology ID:
2025.wmt-1.41
Volume:
Proceedings of the Tenth Conference on Machine Translation
Month:
November
Year:
2025
Address:
Suzhou, China
Editors:
Barry Haddow, Tom Kocmi, Philipp Koehn, Christof Monz
Venue:
WMT
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
657–665
Language:
URL:
https://preview.aclanthology.org/ingest-emnlp/2025.wmt-1.41/
DOI:
Bibkey:
Cite (ACL):
Zhang Yin, Hiroyuki Deguchi, Haruto Azami, Guanyu Ouyang, Kosei Buma, Yingyi Fu, Katsuki Chousa, and Takehito Utsuro. 2025. NTTSU at WMT2025 General Translation Task. In Proceedings of the Tenth Conference on Machine Translation, pages 657–665, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):
NTTSU at WMT2025 General Translation Task (Yin et al., WMT 2025)
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PDF:
https://preview.aclanthology.org/ingest-emnlp/2025.wmt-1.41.pdf