Meaningful Pose-Based Sign Language Evaluation

Zifan Jiang; Colin Leong; Amit Moryossef; Oliver Cory; Maksym Ivashechkin; Neha Tarigopula; Biao Zhang; Anne Göhring; Annette Rios Gonzales; Rico Sennrich; Sarah Ebling

Meaningful Pose-Based Sign Language Evaluation

Zifan Jiang, Colin Leong, Amit Moryossef, Oliver Cory, Maksym Ivashechkin, Neha Tarigopula, Biao Zhang, Anne Göhring, Annette Rios, Rico Sennrich, Sarah Ebling

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Abstract

We present a comprehensive study on meaningfully evaluating sign language utterances in the form of human skeletal poses. The study covers keypoint distance-based, embedding-based, and back-translation-based metrics. We show tradeoffs between different metrics in different scenarios through (1) automatic meta-evaluation of sign-level retrieval, and (2) a human correlation study of text-to-pose translation across different sign languages. Our findings, along with the open-source pose-evaluation toolkit, provide a practical and reproducible approach for developing and evaluating sign language translation or generation systems.

Anthology ID:: 2025.wmt-1.4
Volume:: Proceedings of the Tenth Conference on Machine Translation
Month:: November
Year:: 2025
Address:: Suzhou, China
Editors:: Barry Haddow, Tom Kocmi, Philipp Koehn, Christof Monz
Venue:: WMT
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 64–80
Language:
URL:: https://aclanthology.org/2025.wmt-1.4/
DOI:
Bibkey:
Cite (ACL):: Zifan Jiang, Colin Leong, Amit Moryossef, Oliver Cory, Maksym Ivashechkin, Neha Tarigopula, Biao Zhang, Anne Göhring, Annette Rios, Rico Sennrich, and Sarah Ebling. 2025. Meaningful Pose-Based Sign Language Evaluation. In Proceedings of the Tenth Conference on Machine Translation, pages 64–80, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):: Meaningful Pose-Based Sign Language Evaluation (Jiang et al., WMT 2025)
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PDF:: https://aclanthology.org/2025.wmt-1.4.pdf

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@inproceedings{jiang-etal-2025-meaningful,
    title = "Meaningful Pose-Based Sign Language Evaluation",
    author = {Jiang, Zifan  and
      Leong, Colin  and
      Moryossef, Amit  and
      Cory, Oliver  and
      Ivashechkin, Maksym  and
      Tarigopula, Neha  and
      Zhang, Biao  and
      G{\"o}hring, Anne  and
      Rios, Annette  and
      Sennrich, Rico  and
      Ebling, Sarah},
    editor = "Haddow, Barry  and
      Kocmi, Tom  and
      Koehn, Philipp  and
      Monz, Christof",
    booktitle = "Proceedings of the Tenth Conference on Machine Translation",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.wmt-1.4/",
    pages = "64--80",
    ISBN = "979-8-89176-341-8",
    abstract = "We present a comprehensive study on meaningfully evaluating sign language utterances in the form of human skeletal poses. The study covers keypoint distance-based, embedding-based, and back-translation-based metrics. We show tradeoffs between different metrics in different scenarios through (1) automatic meta-evaluation of sign-level retrieval, and (2) a human correlation study of text-to-pose translation across different sign languages. Our findings, along with the open-source pose-evaluation toolkit, provide a practical and reproducible approach for developing and evaluating sign language translation or generation systems."
}

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%0 Conference Proceedings
%T Meaningful Pose-Based Sign Language Evaluation
%A Jiang, Zifan
%A Leong, Colin
%A Moryossef, Amit
%A Cory, Oliver
%A Ivashechkin, Maksym
%A Tarigopula, Neha
%A Zhang, Biao
%A Göhring, Anne
%A Rios, Annette
%A Sennrich, Rico
%A Ebling, Sarah
%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 jiang-etal-2025-meaningful
%X We present a comprehensive study on meaningfully evaluating sign language utterances in the form of human skeletal poses. The study covers keypoint distance-based, embedding-based, and back-translation-based metrics. We show tradeoffs between different metrics in different scenarios through (1) automatic meta-evaluation of sign-level retrieval, and (2) a human correlation study of text-to-pose translation across different sign languages. Our findings, along with the open-source pose-evaluation toolkit, provide a practical and reproducible approach for developing and evaluating sign language translation or generation systems.
%U https://aclanthology.org/2025.wmt-1.4/
%P 64-80

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Markdown (Informal)

[Meaningful Pose-Based Sign Language Evaluation](https://aclanthology.org/2025.wmt-1.4/) (Jiang et al., WMT 2025)

Meaningful Pose-Based Sign Language Evaluation (Jiang et al., WMT 2025)

ACL

Zifan Jiang, Colin Leong, Amit Moryossef, Oliver Cory, Maksym Ivashechkin, Neha Tarigopula, Biao Zhang, Anne Göhring, Annette Rios, Rico Sennrich, and Sarah Ebling. 2025. Meaningful Pose-Based Sign Language Evaluation. In Proceedings of the Tenth Conference on Machine Translation, pages 64–80, Suzhou, China. Association for Computational Linguistics.