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 …

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 …

Research on sign language technology (SLT) has steadily increased in recent decades, and
yet, common mistakes and pitfalls have significantly hindered progress in the field. The …

Current continuous sign language recognition systems generally target on a single
language. When it comes to the multilingual problem, existing solutions often build separate …

Visual temporal-aligned translation aims to transform the visual sequence into natural
words, including important applicable tasks such as lipreading and fingerspelling …

The goal of this work is to detect and recognize sequences of letters signed using
fingerspelling in British Sign Language (BSL). Previous fingerspelling recognition methods …

Sign language is designed as a natural communication method for the deaf community to
convey messages and connect with society. In American sign language, twenty-six special …

Sign Language Recognition (SLR) is a Computer Vision (CV) and Machine Learning (ML)
task, with potential applications that would be beneficial to the Deaf community, which …

Fingerspelling detection, which aims to localize and recognize fingerspelling gestures in
raw, untrimmed videos, is a nascent but important research area that could help bridge the …

Sign language (SL) is a non-verbal visual language used as a primary communication tool
by deaf or hearing-impaired community. Owing to availability of large number of SLs with …