A Heuristic Approach for Recognizing a Document's Language Used for the Internet Search Engine GETESS
نویسندگان
چکیده
In this paper; we illustrate how Internet documents can be automatically analyzed in order to identih the document’s language. This language knowledge is then used for the Internet search engine, GETESS. The aim of the language-classijication heuristics is to ensure that documents with the same content, but different languages (e.g. , in German and English), will not simultaneously presented to the user as search results. The GETESS search engine only provides the results in the language relevant to the user: Consequently, the search-result set is narrower and more appropriatelyJits the needs of the user:
منابع مشابه
GETESS: Constructing a Linguistic Search Index for an Internet Search Engine
In this paper we illustrate how Internet documents can be automatically analyzed in order to capture the content of a document in a more detailed way than usually The result of the document analysis is called abstract and will be used as a linguistic search index for the Internet search engine GETESS We show how the linguistic analysis system SMES can be used for a Harvest based search engine f...
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