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 …

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 …

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

Sign language translation (SLT) is a task that provides translation between spoken and sign
languages used in the same country, which tend to show high lexical similarity but low …

Sign language, essential for the deaf and hard-of-hearing, presents unique challenges in
translation and production due to its multimodal nature and the inherent ambiguity in …

Multimodal communication research focuses on how different means of signalling
coordinate to communicate effectively. This line of research is traditionally influenced by …

This demo paper presents sign. mt, an open-source application pioneering real-time
multilingual bi-directional translation between spoken and signed languages. Harnessing …

Phonetic representations are used when recording spoken languages, but no equivalent
exists for recording signed languages. As a result, linguists have proposed several …

Sign Language Processing (SLP) is an interdisciplinary field comprised of Natural
Language Processing (NLP) and Computer Vision. It is focused on the computational …

This work advances the field of sign language machine translation by focusing on dataset
quality and simplification of the translation system. We introduce SignBank+, a clean version …