SHuBERT: Self-Supervised Sign Language Representation Learning via Multi-Stream Cluster Prediction | ACL 2025 Oral

Sign language processing has traditionally relied on taskspecific models, limiting the potential for transfer learning across tasks. We introduce SHuBERT (Sign Hidden-Unit BERT), a self-supervised transformer encoder that learns strong representations from approximately 1,000 hours of American Sign…

关键词：ASL, American Sign Language, self-supervised learning, transformer, sign language