Systemic Biases in Sign Language AI Research: A Deaf-Led Call to Reevaluate Research Agendas

no code implementations • 5 Mar 2024 • Aashaka Desai, Maartje De Meulder, Julie A. Hochgesang, Annemarie Kocab, Alex X. Lu

Growing research in sign language recognition, generation, and translation AI has been accompanied by calls for ethical development of such technologies.

Sign Language Recognition

One Side of the Coin: Development of an ASL-English Parallel Corpus by Leveraging SRT Files

no code implementations • LREC 2020 • Rafael Trevi{\~n}o, Julie A. Hochgesang, Emily P. Shaw, Nic Willow

We report on a method used to develop a sizable parallel corpus of English and American Sign Language (ASL).

Translation

Back and Forth between Theory and Application: Shared Phonological Coding Between ASL Signbank and ASL-LEX

no code implementations • LREC 2020 • Amelia Becker, Donovan Catt, Julie A. Hochgesang

The development of signed language lexical databases, digital organizations that describe different phonological features of and attempt to establish relationships between signs has resulted in a renewed interest in the phonological descriptions used to uniquely identify and organize the lexicons of respective sign languages (van der Kooij, 2002; Fenlon et al., 2016; Brentari et al., 2018).