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 …

This paper presents the results of the Second WMT Shared Task on Sign Language
Translation (WMT-SLT23) 1. This shared task is concerned with automatic translation …

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

Advancements in sign language processing have been hindered by a lack of sufficient data,
impeding progress in recognition, translation, and production tasks. The absence of …

Technology to support human communication by sign language may address a growing
social need and is interesting from an engineering perspective, considering multimodal …

Sign language translation systems are complex and require many components. As a result,
it is very hard to compare methods across publications. We present an open-source …

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

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 …

A major impediment to the advancement of sign language translation (SLT) is data scarcity.
Much of the sign language data currently available on the web cannot be used for training …

Indian Sign Language has limited resources for developing machine learning and data-
driven approaches for automated language processing. Though text/audio-based language …