International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume5,May 2018,

Topic : Developing an Inscript Keyboard with Autocorrection and Text Prediction For Visually Impared

Authors:Vaishali Ganganwar || Dheeraj Kumar, Pinky Rout, Bhuvna Prabhu

Abstract:There are about 285 million people who are visually impaired worldwide of which 39 million are blind and 246 million have low vision (severe or moderate visual impairment). With 7.8 million blind people in India, India accounts for 20 per cent of the 39 million blind population across the globe, and this is a big number. Versions after versions of popular typing applications have come, and yet no application yet has addressed the difficulty that smaller user groups such as visually impaired people have while entering input.The intention is to enable blind students be independent of scribes (writers) to write their exams. We want to develop a typing model for Android using the Inscript keyboard layout. This tutor aims to help blindstudents to get familiar with Keyboard in their own native language. And finally made an attempt of reducing typing efforts by predictive texts and language detection using n-gram algorithm..

Keywords: Text To Speech(TTS), Text Classification, Supervised Learning, NLP, n-gram, autocomplete, autocorrect, visually impaired

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DOI: 01.1617/vol5/iss5/pid37821


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North China Electric Power University,
CHINA


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