Artificial Intelligent Systems and Machine Learning

M. L. Dhore ¹, S. K. Dixit ², J. B. Karande ¹

Affiliations
1 Department of Computer Engineering, Vishwakarma Institute of Technology, Pune, Maharashtra, IN
2 Department of E&TC, Walchand Institute of Technology, Solapur, Maharashtra, IN

Abstract

This paper focuses on an important aspect of how to provide access facilitation to the user in their native language. English continues to be ubiquitous as a mode of communication in higher education, judiciary, bureaucracy, and the corporate sector. Most of the web based commercial on-line applications such as Internet Banking, on-line shopping usually has their input and output user interfaces in English.
This paper proposes an approach by which user can input the data in his native language as well can view the output reports in his native language with the little cost of computation required for transliteration. In this paper, the authors describe how to input data and get the information in Marathi, Hindi and Gujarati languages using transliteration based on the phonetic basis of Indian languages. Authors have focused more on transliterating the input in multiple languages into common representation using intermediate phonetic based code while maintaining the master database in world business language English.

Keywords

Phonemics, Phonetic Model, Transliteration, Multilingual Dictionary.

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