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Cross Lingual Information Retrieval Using Search Engine and Data Mining

by Working at The Institute of Doctors Engineers and Scientists - IDES on Sep 17, 2012

  • 230 views

With the explosive growth of international users, ...

With the explosive growth of international users,
distributed information and the number of linguistic
resources, accessible throughout the World Wide Web,
information retrieval has become crucial for users to find,
retrieve and understand relevant information, in any language
and form. Cross- Language Information Retrieval (CLIR) is a
subfield of Information Retrieval which provides a query in
one language and searches document collections in one or
many languages but it also has a specific meaning of crosslanguage
information retrieval where a document collection
is multilingual. In the present research, we focus on query
translation, disambiguation of multiple translation candidates
and query expansion with various combinations, in order to
improve the effectiveness of retrieval. Extracting, selecting
and adding terms that emphasize query concepts are performed
using expansion techniques such as, pseudo-relevance
feedback, domain-based feedback and thesaurus-based
expansion. A method for information retrieval for a query
expressed in a native language is presented in this paper. It
uses insights from data mining and intelligent search for
formulating the query and parsing the results.

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Cross Lingual Information Retrieval Using Search Engine and Data Mining Cross Lingual Information Retrieval Using Search Engine and Data Mining Document Transcript