The Sem-Lex Benchmark: Modeling ASL Signs and their Phonemes-Reference-Cited by-同舟云学术

The Sem-Lex Benchmark: Modeling ASL Signs and their Phonemes

Published:2023-10-22 Issue: Volume: Page:
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Container-title:The 25th International ACM SIGACCESS Conference on Computers and Accessibility
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Author:

Kezar Lee¹^ORCID,Thomason Jesse¹^ORCID,Caselli Naomi²^ORCID,Sehyr Zed³^ORCID,Pontecorvo Elana⁴^ORCID

Affiliation:

1. Viterbi School of Engineering, University of Southern California, United States

2. Wheelock College of Education and Human Development, Boston University, United States

3. Communication Sciences and Disorders, Chapman University, United States

4. Wheelock College of Education and Human Development, Boston University, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Reference41 articles.

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2. Carolyn Ball 2017. The History of American Sign Language Interpreting. Revue Internationale d’Études en Langues Modernes Appliquées 10 , Special ( 2017 ), 115–124. Carolyn Ball 2017. The History of American Sign Language Interpreting. Revue Internationale d’Études en Langues Modernes Appliquées 10, Special (2017), 115–124.

3. The fate landscape of sign language ai datasets: An interdisciplinary perspective;Bragg Danielle;ACM Transactions on Accessible Computing (TACCESS),2021

4. Sign Language Recognition, Generation, and Translation

5. Diane Brentari . 1998. A prosodic model of sign language phonology . MIT Press , Cambridge, MA, USA . Diane Brentari. 1998. A prosodic model of sign language phonology. MIT Press, Cambridge, MA, USA.