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Research Article Open access

Sign Translation Via Natural Language Processing

Shadman A. Khan, Zulfikar Ali Ansari, Riya Singh, Mohit Singh Rawat, Fiza Zafar Khan, Shubham Kumar Yadav

Asian Journal of Research in Computer Science · pp. 1–7 · Published 7 Aug 2021

10.9734/ajrcos/2021/v11i130251

Abstract

Artificial Intelligence (AI) technologies are new technologies with new complicated features emerging quickly. Technology adoption has been beneficial for many general models. The models help in train the voice user-interface assistance (Alexa, Cortona, Siri). Voice assistants are easy to use, and thus millions of devices incorporate them in households nowadays. The primary purpose of the sign language translator prototype is to reduce interaction barriers between deaf and mute. To overcome this problem, we have proposed a prototype. It is named sign language translator with Sign Recognition Intelligence which takes the user input in sign language and processes it, and returns the output in voice out load to the end-user.

Voice user interface natural language processing artificial intelligence Tensor flow k-nearest neighbors algorithm

Cited by 2

Translating Gestures: Utilizing CNN to Enhance ASL Communication and Understanding

Dr. G. B. Sambare, Shailesh B. Galande, Tejas Ippar · Journal of Electrical Systems · 2024

Machine translation from signed to spoken languages: state of the art and challenges

Mathieu De Coster, D. Shterionov, M. Herreweghe · Universal Access in the Information Society · 2022

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