Date Added: Oct 2011
As the information access across languages increases, the importance of a system that supports query-based searching with the presence of multilingual also grows. Gathering the information in different natural language is the most difficult task, which requires huge resources like database and digital libraries. Cross Language Information Retrieval (CLIR) enables to search in multilingual document collections using the native language which can be supported by the different data mining techniques. This paper deals with various data mining techniques that can be used for solving the problems encountered in CLIR.