21-06-2012, 04:23 PM
Multilingual Web Search and Navigation
Multilingual Web Search and Navigation[.doc (Size: 601 KB / Downloads: 32)
Abstract
Today Internet has large information contained within it. Different countries connected to Internet may have information pages in their native languages or any widely used language like English. So when users in any particular country want to search on a particular topic, the search engine should not limit the search, to the native language of the user or the language of the country, in which the search engine has been engineered. Creating a site for a global audience is also a significant challenge. We need to be ready to answer requests in foreign languages.
Introduction
What is Multilingual Web Search?
Multilingual means multiple languages. It includes different pages in different languages but each page in a single language or single page comprised of multiple languages. Searching WWW for some information based on keywords, independent of the language of any page or query is Multilingual Web Search.
Translingual information retrieval:
TIR consists of providing a query in one
language and searching document collections in one or more languages.
Defining Multilingual Information Retrieval:
Any cross language querying for information retrieval is a MLIR.
This can be of different types as follows.
1. Information Retrieval on a monolingual document collection, which can be queried in any language, may be different from the language of the documents. E.g. An English document collection can be queried in German for some information.
. Search and Navigation
Query Translation:
The MULINEX system accepts user query and translates it. Translations of queries may contain different meaning than the originally intended meaning. Because each word can be translated into more than one word in the target language. So this problem is solved by interaction with the user. This is disambiguated by the user who selects among alternative translations. In order to help users who do not understand the target language with the disambiguation of query translations, the “query assistant” displays for each translation how it translates back into the original query language. As the following example for the query term “fair” shows, the back translations (shown in italics) will allow the user to eliminate translations into German which are irrelevant to the intended meaning even though the user may not have any knowledge of German.