@article{5e0862b83fc147c887562e06362624cd,
title = "Using data compression to build a method for statistically verified attribution of literary texts",
abstract = "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.",
keywords = "Authorship attribution of literary texts, Data compression, Hypothesis testing, Quantitative study of literature",
author = "Boris Ryabko and Nadezhda Savina",
note = "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: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2021",
month = oct,
doi = "10.3390/e23101302",
language = "English",
volume = "23",
journal = "Entropy",
issn = "1099-4300",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "10",
}