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        <title>SH at WMT25 General Machine Translation Task</title>
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            <title>Proceedings of the Tenth Conference on Machine Translation</title>
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            <namePart type="given">Barry</namePart>
            <namePart type="family">Haddow</namePart>
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            <namePart type="given">Tom</namePart>
            <namePart type="family">Kocmi</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
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        <name type="personal">
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    <abstract>I participated in the unconstrained track of the English-to-Japanese translation task at the WMT 2025 General Machine Translation Task.My submission leverages several large language models, all of which are trained with supervised fine-tuning, and some further optimized via preference learning.To enhance translation quality, I introduce an automatic post-editing model and perform automatic post-editing.In addition, I select the best translation from multiple candidates using Minimum Bayes Risk (MBR) decoding.For MBR decoding, I use COMET-22 and LaBSE-based cosine similarity as evaluation metrics.</abstract>
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        <url>https://aclanthology.org/2025.wmt-1.39/</url>
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%0 Conference Proceedings
%T SH at WMT25 General Machine Translation Task
%A Shiroma, Hayate
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Koehn, Philipp
%Y Monz, Christof
%S Proceedings of the Tenth Conference on Machine Translation
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-341-8
%F shiroma-2025-sh
%X I participated in the unconstrained track of the English-to-Japanese translation task at the WMT 2025 General Machine Translation Task.My submission leverages several large language models, all of which are trained with supervised fine-tuning, and some further optimized via preference learning.To enhance translation quality, I introduce an automatic post-editing model and perform automatic post-editing.In addition, I select the best translation from multiple candidates using Minimum Bayes Risk (MBR) decoding.For MBR decoding, I use COMET-22 and LaBSE-based cosine similarity as evaluation metrics.
%U https://aclanthology.org/2025.wmt-1.39/
%P 644-650

Markdown (Informal)

[SH at WMT25 General Machine Translation Task](https://aclanthology.org/2025.wmt-1.39/) (Shiroma, WMT 2025)

• SH at WMT25 General Machine Translation Task (Shiroma, WMT 2025)

ACL

• Hayate Shiroma. 2025. SH at WMT25 General Machine Translation Task. In Proceedings of the Tenth Conference on Machine Translation, pages 644–650, Suzhou, China. Association for Computational Linguistics.