Enhancing Accessibility: Leveraging Large Language Models for Indian Sign Language Translation

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Esha Garg; Ishita Garg; Amrita Soney; M.P.S Bhatia

Enhancing Accessibility: Leveraging Large Language Models for Indian Sign Language Translation

Authors: Esha Garg, Ishita Garg, Amrita Soney, M.P.S Bhatia

Unique Paper ID: 177787
Volume: 11
Issue: 12
PageNo: 2683-2692

Keywords: large language model indian sign language deaf hard of hearing linguistic diversity

Abstract:
This paper explores the use of machine learning algorithms and Large Language Models (LLMs) to enhance the translation of Indian Sign Language (ISL) into spoken languages. A hybrid model is proposed for gesture identification from video inputs, and an LLM is used to translate identified signs into text, ensuring grammatical correctness. The method addresses the lack of annotated ISL datasets and promotes inclusive AI applications that bridge barriers between sign language communities and technology. The results indicate the viability of developing AI systems that respect linguistic diversity while putting underrepresented languages on the map.

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ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 2683-2692

Enhancing Accessibility: Leveraging Large Language Models for Indian Sign Language Translation

Available:https://ijirt.org/article?manuscript=177787

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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