Project Grant 2234787
- The National Science Foundation (NSF) Social, Behavioral, and Economic Sciences program awarded a $299,247 Project Grant to Chapman University to investigate phonetic variation in sign language. The 3-year project will leverage computer vision and a sign language lexical database developed under prior NSF funding to analyze patterns of phonetic reduction in over 100,000 videos of signs produced by deaf signers. Using human pose estimation techniques, the researchers will extract anatomical...
- This $405,106 National Science Foundation project grant will fund the development of linguistically-driven sign recognition technologies for American Sign Language (ASL) videos. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the Trustees of Boston University will receive funding from August 2022 through July 2025. The project aims to advance sign recognition capabilities from isolated signs to continuous signing videos. Key deliverables include novel...
- This National Science Foundation project grant of $149,999 supports research on American Sign Language grammar through 2026. Funded under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), the collaborative project will analyze usage of specific ASL signs in online videos to contribute to understanding ASL structure. It will establish best practices for accessible research using internet data and increase participation of deaf linguists. Specifically, researchers will collect...
- The National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences awarded a $444,630 Project Grant to the Regents of the University of Michigan to investigate how signers and gesturers communicate about everyday activities and events. The project, funded through the Social, Behavioral, and Economic Sciences program (CFDA 47.075), will examine communication in sign language by deaf signers, communication in gesture by hearing speakers, and communication in sign language by...
- This project grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), provides $149,999 to Gallaudet University to study American Sign Language usage. The university will collaborate with deaf researchers to analyze instances of "what" signs in a large sample of American Sign Language videos posted online. Through this analysis, the project aims to contribute to understanding...
- Federal Grant Award Summary This $160,000 postdoctoral fellowship award, funded by the National Science Foundation's Office of Multidisciplinary Activities under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), supports research at Boston University beginning January 15, 2026, and concluding December 31, 2027. The project delivers automated computer vision and machine learning methodologies for quantifying variation in sign language production, including scalable annotation...
- This $150,000 National Science Foundation project grant supports research on American Sign Language usage and grammar through analysis of online video data. Funded under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), the collaborative project between The University of New Mexico and deaf researchers aims to 1) contribute to understanding ASL grammar patterns, 2) establish best practices for analyzing internet video data, and 3) increase deaf participation in linguistic...
- This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $170,000 to support an early career postdoctoral scientist investigating the emergence of phonological structure in a family homesign system. The award, with a performance period from September 15, 2024 to August 31, 2026, will fund research comparing the linguistic capabilities and development of a family of deaf individuals who have created their own...
- This National Science Foundation Project Grant of $628,966 will fund research from August 2022 to July 2025 to develop technologies for recognizing American Sign Language (ASL) from continuous signing videos. The award was made under the Computer and Information Science and Engineering program (CFDA 47.070), which supports research and education in computing and information sciences. The grantee, Rutgers University, and its partners will create a novel machine learning approach with three key...
- This $165,014 National Science Foundation project grant will fund the development of linguistically-driven sign recognition technologies from continuous American Sign Language (ASL) signing videos. The Rochester Institute of Technology will receive funding under the Computer and Information Science and Engineering program (CFDA 47.070) to advance sign recognition techniques for isolated citations to segmented signs within sentences. The research will create an end-to-end machine learning...
The National Science Foundation (NSF) awarded a $208,058 Project Grant to Trustees of Boston University to conduct collaborative research on quantifying sign reduction in sign language using human pose estimation. The research project, funded through the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), investigates phonetic variation in signed languages by analyzing patterns of sign articulation. The researchers leverage computer vision techniques to extract anatomical measurements from over 100,000 videos of signs produced by Deaf signers. This research aims to provide insights into how the linguistic structure of sign languages affects sign articulation, and facilitate the development of sign recognition technologies to benefit the signing community. The award period is from September 1, 2023 to August 31, 2026.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $208.1k | 8/17/23 |