2025
Improving Handshape Representations for Sign Language Processing: A Graph Neural Network Approach
EMNLP 2025
Handshapes serve a fundamental phonological role in signed languages, with American Sign Language employing approximately 50 distinct shapes. However, computational approaches rarely model handshapes explicitly, which limits both recognition accuracy and linguistic analysis. We introduce a novel gra