Standard

Numerals in authorial Turkish-language texts and the stylometric analysis. / Zenkov, Andrei; Zenkov, Eugene; Zenkov, Miroslav et al.
In: E3S Web of Conferences, Vol. 270, 01038, 09.06.2021.

Research output: Contribution to journalConference articlepeer-review

Harvard

APA

Vancouver

Zenkov A, Zenkov E, Zenkov M, Sazanova L. Numerals in authorial Turkish-language texts and the stylometric analysis. E3S Web of Conferences. 2021 Jun 9;270:01038. doi: 10.1051/e3sconf/202127001038

Author

Zenkov, Andrei ; Zenkov, Eugene ; Zenkov, Miroslav et al. / Numerals in authorial Turkish-language texts and the stylometric analysis. In: E3S Web of Conferences. 2021 ; Vol. 270.

BibTeX

@article{6f1a7ee17bae40d5b4e95907e1eed517,
title = "Numerals in authorial Turkish-language texts and the stylometric analysis",
author = "Andrei Zenkov and Eugene Zenkov and Miroslav Zenkov and Larisa Sazanova",
note = "Funding Information: We believe that the methodology we are developing can be a useful addition to the traditional stylometric practices of taking into account the length of sentences and words, the frequency of use of service words and certain significant parts of speech, etc. This work was supported by a grant from the Russian Foundation for Basic Research, project No. 19-012-00199A, “A New Method of Text Attribution Based on Statistics of Numerals”. This work was partially supported by a scholarship from the Slovak Academic Information Agency. Publisher Copyright: {\textcopyright} The Authors, published by EDP Sciences, 2021. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 2021 International scientific forum on computer and energy Sciences, WFCES 2021 ; Conference date: 20-05-2021 Through 21-05-2021",
year = "2021",
month = jun,
day = "9",
doi = "10.1051/e3sconf/202127001038",
language = "English",
volume = "270",
journal = "E3S Web of Conferences",
issn = "2555-0403",
publisher = "EDP Sciences",

}

RIS

TY - JOUR

T1 - Numerals in authorial Turkish-language texts and the stylometric analysis

AU - Zenkov, Andrei

AU - Zenkov, Eugene

AU - Zenkov, Miroslav

AU - Sazanova, Larisa

N1 - Funding Information: We believe that the methodology we are developing can be a useful addition to the traditional stylometric practices of taking into account the length of sentences and words, the frequency of use of service words and certain significant parts of speech, etc. This work was supported by a grant from the Russian Foundation for Basic Research, project No. 19-012-00199A, “A New Method of Text Attribution Based on Statistics of Numerals”. This work was partially supported by a scholarship from the Slovak Academic Information Agency. Publisher Copyright: © The Authors, published by EDP Sciences, 2021. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/6/9

Y1 - 2021/6/9

UR - http://www.scopus.com/inward/record.url?scp=85108383931&partnerID=8YFLogxK

U2 - 10.1051/e3sconf/202127001038

DO - 10.1051/e3sconf/202127001038

M3 - Conference article

AN - SCOPUS:85108383931

VL - 270

JO - E3S Web of Conferences

JF - E3S Web of Conferences

SN - 2555-0403

M1 - 01038

T2 - 2021 International scientific forum on computer and energy Sciences, WFCES 2021

Y2 - 20 May 2021 through 21 May 2021

ER -

ID: 22104525