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• W1532342735 abstract "Automatic determination of the language of an electronic text is an important problem, which arises when processing natural language. This paper describes the main methods used in attacking this problem and demonstrates how even the most simple of these methods using data obtained from the World Wide Web achieve accuracy approaching 100% on a test suite comprised of ten European languages. The language identification problem and its solution illustrate many fundamental issues in computer science and the processing of human language; accordingly it is well suited for classroom instruction." @default.
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• W1532342735 date "2005-02-01" @default.
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• W1532342735 title "Language identification: a solved problem suitable for undergraduate instruction" @default.
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