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

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.

External IDs:dblp:journals/corr/abs-2510-07453