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arXiv · 2510.07453

Meaningful Pose-Based Sign Language Evaluation

Zifan Jiang·Colin Leong·Amit Moryossef·Anne Göhring·Annette Rios·Oliver Cory·Maksym Ivashechkin·Neha Tarigopula·Biao Zhang·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 automatic meta-evaluation of sign-level retrieval and a human correlation study of text-to-pose translation across different sign languages. Our findings and the open-source pose-evaluation toolkit provide a practical and reproducible way of developing and evaluating sign language translation or generation systems.

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Zifan Jiang, Colin Leong, Amit Moryossef, Anne Göhring, Annette Rios, Oliver Cory, Maksym Ivashechkin, Neha Tarigopula, Biao Zhang, Rico Sennrich, Sarah Ebling. 2025-10-08. Meaningful Pose-Based Sign Language Evaluation. https://arxiv.org/abs/2510.07453

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