Paper Details

Name: Annu Rani, Sukhdeep kaur, Sandeep kaur & Vikas Atri
Country: India

Year: 2026
Volume: Volume No: 13, January, Year: 2026 (Special Issue)
Page Number: 629-639
DOI: https://doi.org/10.5281/zenodo.19107000

ABSTRACT
Communication of ideas, concepts, and knowledge to others depends heavily on language. A language known as sign language is used by hearing-impaired persons to comprehend our thoughts. Our created system in this study uses a rulebased methodology. Our method uses synthetic animations based on Indian Sign Language's grammatical rules to translate English news into ISL. Following identification, 141 grammatical rules that transform complex, compound sentences into simple ones are used. Lemmatization is used to transform the words into the lemma form because inflections of words are not used in ISL. The bilingual dictionary includes total 4497 gestures in the form of synthetic animation. Animated virtual avatars are used to convert the HamNoSys notations into synthetic animations. The survey was done in Patiala's "Deaf and Blind School of Patiala" to assess the created system. The performance of the system has been assessed using qualitative and quantitative metrics on a total of 1112 news phrases. It is demonstrated that the created English News
Telecast System for Deaf is normally 79.94% accurate. The ISL lexicon and recorded ISL videos are compared to every signed word's output. This research contributes to the domain of sign language translation by merging established linguistic principles within new animation techniques. It represents a main step towards bridging the gap for ISL users, enhances their access to education, media and border societal participation.
General Terms

Keywords
BART, ISL, Deaf community, Synthetic Animation, HamNoSys code and SiGML Player