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Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2017, Issue 1, Pages 21–26 (Mi iipr233)  
Natural language processing

An extension of the short text language identification model

F. N. Solovyeva, A. M. Chepovskiib

a Moscow Polytechnic University
b HSE University, Moscow
Full-text PDF (405 kB)
Abstract: In our work we address the problem of the natural language identification in short texts. A Bayesian classifier is employed. We propose an extension of the language identification model by the incorporation of the new cyrillic languages of the russian small nations.
Keywords: statistical language model, natural language identification, languages of russian small nations.
Funding agency Grant number
Russian Foundation for Basic Research 16-29-09546 офи_м
16-07-00641
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: F. N. Solovyev, A. M. Chepovskii, “An extension of the short text language identification model”, Artificial Intelligence and Decision Making, 2017, no. 1, 21–26
Citation in format AMSBIB
\Bibitem{SolChe17}
\by F.~N.~Solovyev, A.~M.~Chepovskii
\paper An extension of the short text language identification model
\jour Artificial Intelligence and Decision Making
\yr 2017
\issue 1
\pages 21--26
\mathnet{http://mi.mathnet.ru/iipr233}
\elib{https://elibrary.ru/item.asp?id=28990689}
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