Sign Translation Via Natural Language Processing
Shadman A. Khan *
Department of Computer Science, Babu Banarasi Das National Institute of Technology and Management – 054, (of Dr. APJ AKTU), Lucknow, India.
Zulfikar Ali Ansari
Department of Computer Science, Babu Banarasi Das National Institute of Technology and Management – 054, (of Dr. APJ AKTU), Lucknow, India.
Riya Singh
Department of Computer Science, Babu Banarasi Das National Institute of Technology and Management – 054, (of Dr. APJ AKTU), Lucknow, India.
Mohit Singh Rawat
Department of Computer Science, Babu Banarasi Das National Institute of Technology and Management – 054, (of Dr. APJ AKTU), Lucknow, India.
Fiza Zafar Khan
Department of Computer Science, Babu Banarasi Das National Institute of Technology and Management – 054, (of Dr. APJ AKTU), Lucknow, India.
Shubham Kumar Yadav
Department of Computer Science, Babu Banarasi Das National Institute of Technology and Management – 054, (of Dr. APJ AKTU), Lucknow, India.
*Author to whom correspondence should be addressed.
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.
Keywords: Voice user interface, natural language processing, artificial intelligence, Tensor flow, k-nearest neighbors algorithm