A Novel Approach of Classification Techniques for Clir
نویسنده
چکیده
Recent and continuing advances in online information systems are creating many opportunities and also new problems in information retrieval. Gathering the information in different natural language is the most difficult task, which often requires huge resources. Cross-language information retrieval (CLIR) is the retrieval of information for a query written in the native language. This paper deals with various classification techniques that can be used for solving the problems encountered in CLIR.
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