Abstract

In the today’s modern society, people can easily access information from various sources like the internet and newspapers. However, individuals with visual impairments encounter difficulties in harnessing this wealth of information, unlike their sighted counterparts who effortlessly stay informed about current events and knowledge. To bridge this disparity,there is a vital necessity to develop a system that streamlines the conversion of natural language text into Braille, thereby offering enhanced learning prospects for the visually impaired.Visually impaired people face challenges in benefiting from this wealth of information, unlike sighted individuals who can effortlessly stay updated with day-to-day news and knowledge. To bridge this gap, there is a crucial need to develop a system that facilitates the conversion of natural language text into Braille, thereby providing enhanced learning opportunities for the visually impaired. This research paper presents strategic mapping solutions for Braille conversion, with the primary aim of optimizing the translation process of multilingual text into Braille characters. The proposed approach incorporates the techniques from natural language processing (NLP) and address the challenges associated with converting diverse languages into the tactile writing system of Braille. The focus is on designing an efficient mapping system that takes into consideration the linguistic characteristics of different languages, ensuring accurate and contextually meaningful representation of Braille.

Full Text
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