The Sem-Lex Benchmark: Modeling ASL Signs and their Phonemes
Lee Kezar, Jesse Thomason, Naomi Caselli, Zed Sehyr, Elana Pontecorvo · 2023 · ASSETS '23: Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility
This paper introduces the Sem-Lex Benchmark, the largest curated dataset of its kind for American Sign Language (ASL) isolated sign recognition, containing over 84,000 videos of isolated sign productions from 41 deaf ASL signers. The dataset addresses two critical barriers in…
sign language recognition · American Sign Language · machine learning · phonology · dataset