Abstract Sign Languages (SLs) are employed by deaf and hard-of-hearing (DHH) people to
communicate on a daily basis. However, the communication with hearing people still faces …

People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …

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 …

Sign languages are used as a primary language by approximately 70 million D/deaf people
world-wide. However, most communication technologies operate in spoken and written …

Despite recent successes with neural models for sign language translation (SLT), translation
quality still lags behind spoken languages because of the data scarcity and modality gap …

In this work, we introduce the BBC-Oxford British Sign Language (BOBSL) dataset, a large-
scale video collection of British Sign Language (BSL). BOBSL is an extended and publicly …

Existing work on sign language translation-that is, translation from sign language videos into
sentences in a written language-has focused mainly on (1) data collected in a controlled …

Sign language translation (SLT) aims to convert a continuous sign language video clip into a
spoken language. Considering different geographic regions generally have their own native …

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 …

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 …