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Web Browsing For Visually Impaired People Through Handheld Devices

By L. Santhoshi and K. Mahesh


Information Systems can help the peoples by providing many varieties of information’s to peoples. We can access the information’s anywhere by using the World Wide Web. But the information’s can’t be viewed by the blind peoples. Due to their inability in accessing information from written text documents, blind people face tremendous difficulties in accessing information through web.In this paper, we propose an automatic summarization system to ease web browsing for visually impaired people on handheld devices. In particular, we propose a new architecture for summarizing Semantic Textual Units [2] based on efficient algorithms for linguistic treatment [3][6] which allow real time processing and deeper linguistic analysis of web pages, thus allowing quality content visualization. Moreover, we present a text-to-speech interface to ease the understanding of web pages content. To our knowledge, this is the first attempt to use both statistical and linguistic techniques for text summarization for browsing on mobile devices

Topics: Web Browsing, Semantic Textual Units, Linguistic Treatment, Text – to- Speech Interface
Year: 2014
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
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