@inproceedings{azami-etal-2025-utsk25,
title = "{UTSK}25 at {WAT}2025 Patent Claims Translation/Evaluation Task",
author = "Azami, Haruto and
Zhang, Yin and
Kajita, Futo and
Nishimura, Nobuyori and
Utsuro, Takehito",
editor = "Nakazawa, Toshiaki and
Goto, Isao",
booktitle = "Proceedings of the Twelfth Workshop on Asian Translation (WAT 2025)",
month = dec,
year = "2025",
address = "Mumbai, India",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.wat-1.3/",
pages = "30--34",
ISBN = "979-8-89176-309-8",
abstract = "This paper presents the submission of UTSK25 for the English{--}Japanese and Japanese{--}English at the WAT2025 Patent Claims Translation/Evaluation Task. We use a single translation model for both translation directions, built from a large language model through monolingual and bilingual continual pretraining and bilingual supervised fine-tuning. We finally generate translations via prompt engineering to reduce omissions and hallucinations."
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<abstract>This paper presents the submission of UTSK25 for the English–Japanese and Japanese–English at the WAT2025 Patent Claims Translation/Evaluation Task. We use a single translation model for both translation directions, built from a large language model through monolingual and bilingual continual pretraining and bilingual supervised fine-tuning. We finally generate translations via prompt engineering to reduce omissions and hallucinations.</abstract>
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%0 Conference Proceedings
%T UTSK25 at WAT2025 Patent Claims Translation/Evaluation Task
%A Azami, Haruto
%A Zhang, Yin
%A Kajita, Futo
%A Nishimura, Nobuyori
%A Utsuro, Takehito
%Y Nakazawa, Toshiaki
%Y Goto, Isao
%S Proceedings of the Twelfth Workshop on Asian Translation (WAT 2025)
%D 2025
%8 December
%I Association for Computational Linguistics
%C Mumbai, India
%@ 979-8-89176-309-8
%F azami-etal-2025-utsk25
%X This paper presents the submission of UTSK25 for the English–Japanese and Japanese–English at the WAT2025 Patent Claims Translation/Evaluation Task. We use a single translation model for both translation directions, built from a large language model through monolingual and bilingual continual pretraining and bilingual supervised fine-tuning. We finally generate translations via prompt engineering to reduce omissions and hallucinations.
%U https://aclanthology.org/2025.wat-1.3/
%P 30-34
Markdown (Informal)
[UTSK25 at WAT2025 Patent Claims Translation/Evaluation Task](https://aclanthology.org/2025.wat-1.3/) (Azami et al., WAT 2025)
ACL