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Found 2 papers, 2 papers with code
The Sem-Lex Benchmark: Modeling ASL Signs and Their Phonemes
Sign language recognition and translation technologies have the potential to increase access and inclusion of deaf signing communities, but research progress is bottlenecked by a lack of representative data.
Improving Sign Recognition with Phonology
We use insights from research on American Sign Language (ASL) phonology to train models for isolated sign language recognition (ISLR), a step towards automatic sign language understanding.
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