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 …

State-of-the-art techniques common to low resource Machine Translation (MT) are applied to
improve MT of spoken language text to Sign Language (SL) glosses. In our experiments, we …

With the burgeoning growth of online video platforms and the escalating volume of video
content, the demand for proficient video understanding tools has intensified markedly. Given …

This paper presents the results of the First WMT Shared Task on Sign Language Translation
(WMT-SLT22). This shared task is concerned with automatic translation between signed and …

Automatic sign language processing is gaining popularity in Natural Language Processing
(NLP) research (Yin et al., 2021). In machine translation (MT) in particular, sign language …

Body language (BL) refers to the non-verbal communication expressed through physical
movements, gestures, facial expressions, and postures. It is a form of communication that …

This paper presents the results of the Second WMT Shared Task on Sign Language
Translation (WMT-SLT23; https://www. wmt-slt. com/). This shared task is concerned with …

We consider neural sign language translation: machine translation from signed to written
languages using encoder–decoder neural networks. Translating sign language videos to …

The paper introduces a real-time fingerspelling-to-text translation system for the Azerbaijani
Sign Language (AzSL), targeted to the clarification of the words with no available or …

Sign language translation is an active area of research with the main goal of bridging the
communication gap between deaf and hearing individuals. In Natural Language Processing …