Profound Survey on Cross Language Information Retrieval Methods (CLIR)

Abstract

Cross Language Information Retrieval is a subfield of Information Retrieval that deals with retrieving relevant information stored in a language different from the language of user's given query. It plays a vital role in future because large volume of information is stored in the web is in English. So there is a necessity of proper mechanisms that can retrieve some required relevant information in a collection of information or in a database. Generally the collection of stored information may not be necessarily in one language. The simplest way to search for the information is to scan every item in the database and when the need to translate the languages being used arises, and then there will be a need of developing Cross Language Information Retrieval systems will take place. This paper reviews some of the recent research methods focus on topics in cross language information retrieval and there great role in On-going latest innovative research directions in wide area of information retrieval.

A Survey on Cross Language Information Retrieval

“…This research proposes a Cross-Lingual Information Retrieval approach that is used to search Internet resources for appropriate content and summarize it into another form using the content specification meta-language. This content is then mapped to the target language [34].…”