TY - JOUR

T1 - Using data compression to build a method for statistically verified attribution of literary texts

AU - Ryabko, Boris

AU - Savina, Nadezhda

N1 - Funding Information: Funding: This study was funded by the Russian Federation represented by the Ministry of Science and Higher Education of Russia in the framework of a large-scale research project «Socio-Economic Development of Asian Russia on the Basis of Synergy of Transport Accessibility, System Knowledge of the Natural Resource Potential, Expanding Space of Inter-Regional Interactions», Agreement no. 075-15-2020-804 dated 02.10.2020 (grant 13.1902.21.0016). Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2021/10

Y1 - 2021/10

N2 - We consider the problems of the authorship of literary texts in the framework of the quantitative study of literature. This article proposes a methodology for authorship attribution of literary texts based on the use of data compressors. Unlike other methods, the suggested one gives a possibility to make statistically verified results. This method is used to solve two problems of attribution in Russian literature.

AB - We consider the problems of the authorship of literary texts in the framework of the quantitative study of literature. This article proposes a methodology for authorship attribution of literary texts based on the use of data compressors. Unlike other methods, the suggested one gives a possibility to make statistically verified results. This method is used to solve two problems of attribution in Russian literature.

KW - Authorship attribution of literary texts

KW - Data compression

KW - Hypothesis testing

KW - Quantitative study of literature

UR - http://www.scopus.com/inward/record.url?scp=85116816890&partnerID=8YFLogxK

U2 - 10.3390/e23101302

DO - 10.3390/e23101302

M3 - Article

C2 - 34682026

AN - SCOPUS:85116816890

VL - 23

JO - Entropy

JF - Entropy

SN - 1099-4300

IS - 10

M1 - 1302

ER -