Content4All Open Research Sign Language Translation Datasets
원문 초록
Computational sign language research lacks the large-scale datasets that enables the creation of useful reallife applications. To date, most research has been limited to prototype systems on small domains of discourse, e.g. weather forecasts. To address this issue and to push the field forward, we release six datasets comprised of 190 hours of footage on the larger domain of news. From this, 20 hours of footage have been annotated by Deaf experts and interpreters and is made publicly available for research purposes. In this paper, we share the dataset collection process and tools developed to enable the alignment of sign language video and subtitles, as well as baseline translation results to underpin future research.
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Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation
Sign Language Translation using Frame and Event Stream: Benchmark Dataset and Algorithms
Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation
Bridging Sign and Spoken Languages: Pseudo Gloss Generation for Sign Language Translation
ADAT: Time-Series-Aware Adaptive Transformer Architecture for Sign Language Translation
Spatio-temporal transformer to support automatic sign language translation
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