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        <title>gec-metrics: A Unified Library for Grammatical Error Correction Evaluation</title>
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        <namePart type="given">Takumi</namePart>
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        <namePart type="family">Sakai</namePart>
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    <name type="personal">
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            <title>Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)</title>
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            <namePart type="given">Pushkar</namePart>
            <namePart type="family">Mishra</namePart>
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            <namePart type="given">Smaranda</namePart>
            <namePart type="family">Muresan</namePart>
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            <namePart type="given">Tao</namePart>
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    <abstract>We introduce gec-metrics, a library for using and developing grammatical error correction (GEC) evaluation metrics through a unified interface. Our library enables fair system comparisons by ensuring that everyone conducts evaluations using a consistent implementation. Moreover, it is designed with a strong focus on API usage, making it highly extensible. It also includes meta-evaluation functionalities and provides analysis and visualization scripts, contributing to developing GEC evaluation metrics. Our code is released under the MIT license¹ and is also distributed as an installable package². The video is available at YouTube³.¹GitHub: https://github.com/gotutiyan/gec-metrics²PyPi: https://pypi.org/project/gec-metrics/³Video: https://youtu.be/cor6dkN6EfI</abstract>
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%0 Conference Proceedings
%T gec-metrics: A Unified Library for Grammatical Error Correction Evaluation
%A Goto, Takumi
%A Sakai, Yusuke
%A Watanabe, Taro
%Y Mishra, Pushkar
%Y Muresan, Smaranda
%Y Yu, Tao
%S Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-253-4
%F goto-etal-2025-gec
%X We introduce gec-metrics, a library for using and developing grammatical error correction (GEC) evaluation metrics through a unified interface. Our library enables fair system comparisons by ensuring that everyone conducts evaluations using a consistent implementation. Moreover, it is designed with a strong focus on API usage, making it highly extensible. It also includes meta-evaluation functionalities and provides analysis and visualization scripts, contributing to developing GEC evaluation metrics. Our code is released under the MIT license¹ and is also distributed as an installable package². The video is available at YouTube³.¹GitHub: https://github.com/gotutiyan/gec-metrics²PyPi: https://pypi.org/project/gec-metrics/³Video: https://youtu.be/cor6dkN6EfI
%R 10.18653/v1/2025.acl-demo.50
%U https://aclanthology.org/2025.acl-demo.50/
%U https://doi.org/10.18653/v1/2025.acl-demo.50
%P 524-534

Markdown (Informal)

[gec-metrics: A Unified Library for Grammatical Error Correction Evaluation](https://aclanthology.org/2025.acl-demo.50/) (Goto et al., ACL 2025)

• gec-metrics: A Unified Library for Grammatical Error Correction Evaluation (Goto et al., ACL 2025)

ACL

• Takumi Goto, Yusuke Sakai, and Taro Watanabe. 2025. gec-metrics: A Unified Library for Grammatical Error Correction Evaluation. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 524–534, Vienna, Austria. Association for Computational Linguistics.