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Extracting and Translating Material Within the Framework of Indian Languages
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Author(s): A. Yovan Felix (Sathyabama Institute of Science and Technology, India), Ananta Charan Ojha (Jain University (Deemed), India), Meenakshi Sharma (Sanskriti University, India), Shruti Jalapur (Christ University, India), Roshan Baa (St. Xavier's College, India), Dharmesh Dhabliya (Vishwakarma Institute of Information Technology, India)and Sabyasachi Pramanik (Haldia Institute of Technology, India)
Copyright: 2025
Pages: 20
Source title:
Reimagining Intelligent Computer-Assisted Language Education
Source Author(s)/Editor(s): Marija Stevkovska (International Balkan University, North Macedonia), Marijana Klemenchich (International Balkan University, North Macedonia)and Nurdan Kavaklı Ulutaş (Izmir Demokrasi University, Turkey)
DOI: 10.4018/979-8-3693-4310-4.ch014
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Abstract
Since there are hundreds of languages spoken in the world today, it is difficult for one person to become proficient in them all. Humans must be able to communicate. As a consequence, there is a barrier in communication languages, which leads to many additional problems. Translation is thus required to translate one language into another so that people may communicate easily anywhere in the globe. Therefore, this study advises overcoming by making use of software tools that allow a document or text picture to be converted into any required language. Developing an assistive text reading model to facilitate the reading of text in native languages on product labels, sign boards, printed notes, and other materials is the main goal of the proposed project. It combines the concepts of optical character recognition (OCR), translator, and text-to-speech engine.
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