Information Retrieval in Multilingual Environment

In today´s world of globalization, local language storage and retrieval is essential for the developing nations like India. As our country is diversified by languages and only 10% of population is aware of English language, this diversity of languages is becoming barrier to understand and acquainted in digital world. It has been found that when services are provided in local languages, it has been strongly accepted and used. We propose a new methodology called ´Information Retrieval in Multilingual Environment´ that provides the functionality of processing and retrieval of Indian languages. We propose a way of processing multilingual information where backend will be English database and front-end uses local languages like Hindi, Marathi or Gujrathi. Our system provides an interface to enter a keyword in local language, the keyword will be parsed, query will be formed and display the result in local language. We had developed an efficient algorithm to consider the tolerance by means of possible ways of writing styles in providing the keyword to extract exact data. We had taken a Shopping Mall as a domain, where many users need information in their local languages.