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Maximus Shengelia

2 accepted papers

2025

FSboard: Over 3 Million Characters of ASL Fingerspelling Collected via Smartphones

CVPR 2025poster

Progress in machine understanding of sign languages has been slow and hampered by limited data. In this paper, we present FSboard, an American Sign Language fingerspelling dataset situated in a mobile text entry use case, collected from 147 paid and consenting Deaf signers using Pixel 4A selfie came…

Cited by 1SourcePDFScholar
2024

Reconsidering Sentence-Level Sign Language Translation

EMNLP 2024main

Historically, sign language machine translation has been posed as a sentence-level task: datasets consisting of continuous narratives are chopped up and presented to the model as isolated clips. In this work, we explore the limitations of this task framing. First, we survey a number of linguistic ph…

Cited by 1SourcePDFScholar