SOURCE-LINKED INTELLIGENCE
Zero-Shot Cross-Lingual Recognition of Sign Language Handshapes
Sign language processing advances rapidly for high-resource languages such as American Sign Language (ASL), yet most of the world's sign languages lack the phonological annotations new methods require. We present the first zero-shot cross-lingual framework for handshape recognition, transferring from ASL to Catalan Sign Language (LSC). Our approach leverages the decomposition of handshapes into five phonological features -- selected fingers, flexion, spread, thumb position, and thumb contact -- shared across both languages, to decode LSC handshapes from predicted features via a composite phono
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-16T14:56:51.000Z
First collected: 2026-09-19T20:28:26.698Z. This is not the publication date.