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Visual Prosody Annotation in a Sign Language Corpus
Collaborative Research: EAGER: Visual Prosody Annotation in a Sign Language Corpus
Linguists studying sign languages experience an immense resource gap. Resources for studying visual prosody in sign languages, and its grammatical and emotional functions, are scarce. This project contributes towards closing this gap and promotes data-driven sign language research. Housed in ideal research environments, the project aims to create a large sign language corpus with annotations. The project plans to release this resource for linguistic and sign language technology research and provide open access teaching modules and assignments with instructor guides for use with the corpus.
This material is based upon work supported by the National Science Foundation under Award No. 2429899 and 2429900. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.