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

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.