Machine translation from signed to spoken languages: State of the art and challenges

M De Coster, D Shterionov, M Van Herreweghe… - Universal Access in the …, 2024 - Springer
Automatic translation from signed to spoken languages is an interdisciplinary research
domain on the intersection of computer vision, machine translation (MT), and linguistics …

Youtube-asl: A large-scale, open-domain american sign language-english parallel corpus

D Uthus, G Tanzer, M Georg - Advances in Neural …, 2024 - proceedings.neurips.cc
Abstract Machine learning for sign languages is bottlenecked by data. In this paper, we
present YouTube-ASL, a large-scale, open-domain corpus of American Sign Language …

Sign language translation from instructional videos

L Tarrés, GI Gállego, A Duarte… - Proceedings of the …, 2023 - openaccess.thecvf.com
The advances in automatic sign language translation (SLT) to spoken languages have been
mostly benchmarked with datasets of limited size and restricted domains. Our work …

Is context all you need? scaling neural sign language translation to large domains of discourse

OM Sincan, NC Camgoz… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Abstract Sign Language Translation (SLT) is a challenging task that aims to generate
spoken language sentences from sign language videos, both of which have different …

Fleurs-asl: Including american sign language in massively multilingual multitask evaluation

G Tanzer - arxiv preprint arxiv:2408.13585, 2024 - arxiv.org
Sign language translation has historically been peripheral to mainstream machine
translation research. In order to help converge the fields, we introduce FLEURS-ASL, an …