An Entropy Based Method for Removing Web Query Ambiguity in Hindi Language (Report‪)‬

INTRODUCTION The ambiguity in natural language is considered as the major barrier in language processing applications, especially in information retrieval. Some query terms have a clear cut sense in their query. However some query terms hold ambiguity. The problem also persists with the Hindi language information retrieval as well. Hindi language information retrieval on the web is still in its nascent stage. The number of users who want the information in Hindi language is increasing. This leads to the demand of the Hindi information retrieval on the web. It is the fact that to date Internet is vigorously used in India by the people who are comfortable in English language. The under development of web in Indian regional languages is one of the important reasons behind the limited growth of Internet in India. Indians use 22 official languages and 11 written script forms and among all the languages Hindi language is spoken by the major population of India. About 5% of population understands English as their second language. Hindi is spoken about 30% of the population (4). This generates the need of the development of the powerful tools for Hindi language information retrieval.