Sign language is a form of visual communication employing hand gestures, body
movements, and facial expressions. The growing prevalence of hearing impairment has …

Sign language video retrieval plays a key role in facilitating information access for the deaf
community. Despite significant advances in video-text retrieval, the complexity and inherent …

Abstract Sign Language Translation (SLT) aims to translate sign videos into text sentences.
While gloss sequences, the written approximation of sign videos, provide informative …

The objective of this paper is to develop a functional system for translating spoken
languages into sign languages, referred to as Spoken2Sign translation. The Spoken2Sign …

Deep-learning-based continuous sign language recognition (CSLR) models typically consist
of a visual module, a sequential module, and an alignment module. However, the …

Research on continuous sign language recognition (CSLR) is essential to bridge the
communication gap between deaf and hearing individuals. Numerous previous studies have …

Convolutional neural networks (CNN) have provided great advances for the task of sign
language recognition (SLR). However, recurrent neural networks (RNN) in the form of long …

Gloss-free Sign Language Translation (SLT) converts sign videos directly into spoken
language sentences without relying on glosses. Recently, Large Language Models (LLMs) …

In this work, our goals are two fold: large-vocabulary continuous sign language recognition
(CSLR), and sign language retrieval. To this end, we introduce a multi-task Transformer …

Sign language is a visual language that encompasses all linguistic features of natural
languages and serves as the primary communication method for the deaf and hard-of …