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        <title>Findings of the WAT 2025 Shared Task on Japanese-English Article-level News Translation</title>
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    <name type="personal">
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        <namePart type="family">Mino</namePart>
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            <title>Proceedings of the Twelfth Workshop on Asian Translation (WAT 2025)</title>
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            <namePart type="given">Toshiaki</namePart>
            <namePart type="family">Nakazawa</namePart>
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    <abstract>We present the preliminary findings of the WAT 2025 shared task on document-level translation from Japanese to English in the news domain. This task focuses on translating full articles with particular attention to whether translation models can learn to produce expressions and stylistic features typical of English news writing, with the aim to generate outputs that resemble original English news articles. The task consists of three translation styles: (1) literal translation, (2) news-style translation, based on English articles edited to match Japanese content, and (3) finalized translation, the primary goal of this shared task. Only one team participated and submitted a system to a single subtask. All tasks were evaluated automatically, and one task was also evaluated manually to compare the submission with the baseline.</abstract>
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            <start>93</start>
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%0 Conference Proceedings
%T Findings of the WAT 2025 Shared Task on Japanese-English Article-level News Translation
%A Shirai, Naoto
%A Kinugawa, Kazutaka
%A Ito, Hitoshi
%A Mino, Hideya
%A Kawai, Yoshihiko
%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 shirai-etal-2025-findings
%X We present the preliminary findings of the WAT 2025 shared task on document-level translation from Japanese to English in the news domain. This task focuses on translating full articles with particular attention to whether translation models can learn to produce expressions and stylistic features typical of English news writing, with the aim to generate outputs that resemble original English news articles. The task consists of three translation styles: (1) literal translation, (2) news-style translation, based on English articles edited to match Japanese content, and (3) finalized translation, the primary goal of this shared task. Only one team participated and submitted a system to a single subtask. All tasks were evaluated automatically, and one task was also evaluated manually to compare the submission with the baseline.
%U https://aclanthology.org/2025.wat-1.8/
%P 93-97

Markdown (Informal)

[Findings of the WAT 2025 Shared Task on Japanese-English Article-level News Translation](https://aclanthology.org/2025.wat-1.8/) (Shirai et al., WAT 2025)

• Findings of the WAT 2025 Shared Task on Japanese-English Article-level News Translation (Shirai et al., WAT 2025)

ACL

• Naoto Shirai, Kazutaka Kinugawa, Hitoshi Ito, Hideya Mino, and Yoshihiko Kawai. 2025. Findings of the WAT 2025 Shared Task on Japanese-English Article-level News Translation. In Proceedings of the Twelfth Workshop on Asian Translation (WAT 2025), pages 93–97, Mumbai, India. Association for Computational Linguistics.