2 citations · 2 across the 6 of their papers we have counts for
6 papers
FLEURS-ASL: Including American Sign Language in Massively Multilingual Multitask Evaluation
Garrett Tanzer
Sign language translation has historically been peripheral to mainstream machine translation research. In order to help converge the fields, we introduce FLEURS-ASL, an extension o…
Fingerspelling within Sign Language Translation
Garrett Tanzer
Fingerspelling poses challenges for sign language processing due to its high-frequency motion and use for open-vocabulary terms. While prior work has studied fingerspelling recogni…
FSboard: Over 3 million characters of ASL fingerspelling collected via smartphones
Manfred Georg, Garrett Tanzer, Saad Hassan +5
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…
Scaling Sign Language Translation
Biao Zhang, Garrett Tanzer, Orhan Firat
Sign language translation (SLT) addresses the problem of translating information from a sign language in video to a spoken language in text. Existing studies, while showing progres…
YouTube-SL-25: A Large-Scale, Open-Domain Multilingual Sign Language Parallel Corpus
Garrett Tanzer, Biao Zhang
Even for better-studied sign languages like American Sign Language (ASL), data is the bottleneck for machine learning research. The situation is worse yet for the many other sign l…
Reconsidering Sentence-Level Sign Language Translation
Garrett Tanzer, Maximus Shengelia, Ken Harrenstien +1
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 i…