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        <title>Results of the WAT/WMT 2024 Shared Task on Patent Translation</title>
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        <namePart type="given">Shohei</namePart>
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            <title>Proceedings of the Ninth Conference on Machine Translation</title>
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            <namePart type="given">Barry</namePart>
            <namePart type="family">Haddow</namePart>
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        <name type="personal">
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        <name type="personal">
            <namePart type="given">Christof</namePart>
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    <abstract>This paper presents the results of the patent translation shared task at the 11th Workshop on Asian Translation and 9th Conference on Machine Translation. Two teams participated in this task, and their submitted translation results for one or more of the six language directions were automatically and manually evaluated. The evaluation results demonstrate the strong performance of large language model-based systems from both participants.</abstract>
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%0 Conference Proceedings
%T Results of the WAT/WMT 2024 Shared Task on Patent Translation
%A Higashiyama, Shohei
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Koehn, Philipp
%Y Monz, Christof
%S Proceedings of the Ninth Conference on Machine Translation
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F higashiyama-2024-results
%X This paper presents the results of the patent translation shared task at the 11th Workshop on Asian Translation and 9th Conference on Machine Translation. Two teams participated in this task, and their submitted translation results for one or more of the six language directions were automatically and manually evaluated. The evaluation results demonstrate the strong performance of large language model-based systems from both participants.
%U https://aclanthology.org/2024.wmt-1.5
%P 118-123

Markdown (Informal)

[Results of the WAT/WMT 2024 Shared Task on Patent Translation](https://aclanthology.org/2024.wmt-1.5) (Higashiyama, WMT 2024)

• Results of the WAT/WMT 2024 Shared Task on Patent Translation (Higashiyama, WMT 2024)

ACL

• Shohei Higashiyama. 2024. Results of the WAT/WMT 2024 Shared Task on Patent Translation. In Proceedings of the Ninth Conference on Machine Translation, pages 118–123, Miami, Florida, USA. Association for Computational Linguistics.