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Preprints of the Keldysh Institute of Applied Mathematics, 2024, 017, 24 pp.
DOI: https://doi.org/10.20948/prepr-2024-17
(Mi ipmp3227)
 

This article is cited in 1 scientific paper (total in 1 paper)

Statistical analysis of the complete corpus of fiction in Russian and recognition of the author

M. Yu. Kislitsyna, Yu. N. Orlov
References:
Abstract: Statistics of reference trigrams for the complete corpus of literary texts in Russian, including translated foreign authors, have been collected. Distributions of distances from individual texts to standards are constructed. The nearest reference method for recognizing the author of the text has been tested. The error was determined by genres, subgroups of authors and by the corpus as a whole. A classification of errors has been carried out to develop a correction method.
Keywords: trigrams, nearest neighbor method, text author recognition.
Funding agency Grant number
Russian Science Foundation 23-71-10055
Document Type: Preprint
Language: Russian
Citation: M. Yu. Kislitsyna, Yu. N. Orlov, “Statistical analysis of the complete corpus of fiction in Russian and recognition of the author”, Keldysh Institute preprints, 2024, 017, 24 pp.
Citation in format AMSBIB
\Bibitem{KisOrl24}
\by M.~Yu.~Kislitsyna, Yu.~N.~Orlov
\paper Statistical analysis of the complete corpus of fiction in Russian and recognition of the author
\jour Keldysh Institute preprints
\yr 2024
\papernumber 017
\totalpages 24
\mathnet{http://mi.mathnet.ru/ipmp3227}
\crossref{https://doi.org/10.20948/prepr-2024-17}
Linking options:
  • https://www.mathnet.ru/eng/ipmp3227
  • https://www.mathnet.ru/eng/ipmp/y2024/p17
  • This publication is cited in the following 1 articles:
    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
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    Abstract page:58
    Full-text PDF :33
    References:12
     
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