Preprints of the Keldysh Institute of Applied Mathematics
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Keldysh Institute preprints:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


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
References:
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}
Linking options:
  • https://www.mathnet.ru/eng/ipmp2248
  • https://www.mathnet.ru/eng/ipmp/y2017/p32
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Препринты Института прикладной математики им. М. В. Келдыша РАН
    Statistics & downloads:
    Abstract page:160
    Full-text PDF :138
    References:37
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024