This $129,730 Project Grant awarded by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports the creation of a large sign language corpus with annotations focused on understudied visual prosody characteristics. The project, led by Gallaudet University, aims to develop a reusable research resource and best practices for representing and analyzing these linguistic features in sign languages. Key planned outputs include: (1) a sign language corpus capturing understudied prosodic elements, (2) tested annotation methods, (3) documentation and guidelines for continued use, and (4) research dissemination through written and video products. The project also includes efforts to train students and expand the sign language research workforce, particularly preparing deaf scientists with linguistic research skills. No federal sub-awards are planned under this grant, which has an award date of Sep 1, 2024 and an ultimate completion date of Aug 31, 2026.
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