I. INTRODUCTION
The area of Information Access has evolved to perform
many sophisticated tasks such as the information retrieval,
question answering tasks, summarization, multimedia
information retrieval, text mining and clustering and Web
information retrieval. Information retrieval (IR) is the act of
finding material usually documents of an unstructured form
(usually text) that satisfies an information need within large
collections usually stored in computers [1]. These tasks not
restricted to only documents in one language but also in
other languages. But the classical IR regards the documents
in foreign language as the unwanted “noise” [2]. These needs
introduce new area of IR which takes into account all the
documents received regardless of the languages being used.
This is where the cross-lingual and multi-lingual IR plays a
part. In classical IR search engines, both the query and the
retrieved documents are in the same language. The retrieved
documents in the cross-lingual IR system can be in a
language different from the query language used by a user.
But now rather than focusing only on two languages, IR
system also can retrieved documents in multiple languages.
Of course there are also lots of problems arises with these
enhanced systems.