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 …

Gloss-free sign language translation (SLT) aims to develop well-performing SLT systems
with no requirement for the costly gloss annotations, but currently still lags behind gloss …

Automatic Sign Language Translation requires the integration of both computer vision and
natural language processing to effectively bridge the communication gap between sign and …

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

This study provides a comprehensive review of the current state of the sign language
processing (SLP) field, encompassing sign language recognition (SLR), translation (SLT) …

Different from traditional video retrieval, sign language retrieval is more biased towards
understanding the semantic information of human actions contained in video clips. Previous …

Sign language serves as a non-vocal means of communication, transmitting information and
significance through gestures, facial expressions, and bodily movements. The majority of …

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 …

Sign Language Translation (SLT) is a challenging task that aims to generate spoken
language sentences from sign language videos. In this paper, we introduce a hybrid SLT …

Our objective is to translate continuous sign language into spoken language text. Inspired by
the way human interpreters rely on context for accurate translation, we incorporate …