Collecting a Motion-Capture Corpus of American Sign Language for Data-Driven Generation Research

Autor/a: LU, Pengfei; HUENERFAUTH, Matt
Año: 2010
Editorial: Stroudsburg, 2010
Tipo de código: Copyright
Soporte: Digital


Lingüística, Lingüística » Lingüística de otras Lenguas de Signos, Lingüística » Sistemas de transcripción de las Lenguas de Signos


American Sign Language (ASL) generation software can improve the accessibility of information and services for deaf individuals with low English literacy. The understand-ability of current ASL systems is limited; they have been constructed without the benefit of annotated ASL corpora that encode detailed human movement. We discuss how linguistic challenges in ASL generation can be addressed in a data-driven manner, and we describe our current work on collecting a motion-capture corpus. To evaluate the quality of our motion-capture configuration, calibration, and recording protocol, we conducted an evaluation study with native ASL signers.

En: SLPAT '10 Proceedings of the NAACL HLT 2010 Workshop on Speech and Language Processing for Assistive Technologies (2010) pp. 89-97