Paper on sign language pose eval accepted and presented at WMT 2025
Our paperMeaningful Pose-Based Sign Language Evaluation is accepted and presented at WMT 2025 (co-located with EMNLP 2025)!
We present a comprehensive study on meaningfully evaluating sign language utterances in the form of human skeletal poses. 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.
Author team: Zifan Jiang, Colin Leong, Amit Moryossef, Oliver Cory, Maksym Ivashechkin, Neha Tarigopula, Biao Zhang, Anne Göhring, Annette Rios, Rico Sennrich, Sarah Ebling (in collaboration with University of Dayton, sign.mt, University of Surrey, Idiap Research Institute, EPFL, Google DeepMind)