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Preprints of the Keldysh Institute of Applied Mathematics, 2017, 032, 21 pp.
DOI: https://doi.org/10.20948/prepr-2017-32 (Mi ipmp2248) 		 
Statistical text language recognition with the use of $n$-gram frequency

Yu. N. Orlov, S. A. Shilin
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DOI: https://doi.org/10.20948/prepr-2017-32
Abstract: Statistical properties of European language texts are investigated with the use of recognition procedure for $n$-gram distribution patterns. The numerical algorithm is constructed for analysis Hurst exponent for letter distance distributions of the text fragment. The accuracy of binary recognition is estimated as 0,99.
Keywords: text language recognition, $n$-gram frequency.
Funding agency Grant number
Russian Foundation for Basic Research 16-01-00342_а
Document Type: Preprint
Language: Russian
Citation: Yu. N. Orlov, S. A. Shilin, “Statistical text language recognition with the use of $n$-gram frequency”, Keldysh Institute preprints, 2017, 032, 21 pp.
Citation in format AMSBIB
\Bibitem{OrlShi17}
\by Yu.~N.~Orlov, S.~A.~Shilin
\paper Statistical text language recognition with the use of $n$-gram frequency
\jour Keldysh Institute preprints
\yr 2017
\papernumber 032
\totalpages 21
\mathnet{http://mi.mathnet.ru/ipmp2248}
\crossref{https://doi.org/10.20948/prepr-2017-32}
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    		Препринты Института прикладной математики им. М. В. Келдыша РАН
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