Using Data Compression to Build a Method for Statistically Verified Attribution of Literary Texts

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...

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Detalles Bibliográficos
Autores principales: Ryabko, Boris, Savina, Nadezhda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534409/
https://www.ncbi.nlm.nih.gov/pubmed/34682026
http://dx.doi.org/10.3390/e23101302
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author Ryabko, Boris
Savina, Nadezhda
author_facet Ryabko, Boris
Savina, Nadezhda
author_sort Ryabko, Boris
collection PubMed
description 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.
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spelling pubmed-85344092021-10-23 Using Data Compression to Build a Method for Statistically Verified Attribution of Literary Texts Ryabko, Boris Savina, Nadezhda Entropy (Basel) Article 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. MDPI 2021-10-03 /pmc/articles/PMC8534409/ /pubmed/34682026 http://dx.doi.org/10.3390/e23101302 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ryabko, Boris
Savina, Nadezhda
Using Data Compression to Build a Method for Statistically Verified Attribution of Literary Texts
title Using Data Compression to Build a Method for Statistically Verified Attribution of Literary Texts
title_full Using Data Compression to Build a Method for Statistically Verified Attribution of Literary Texts
title_fullStr Using Data Compression to Build a Method for Statistically Verified Attribution of Literary Texts
title_full_unstemmed Using Data Compression to Build a Method for Statistically Verified Attribution of Literary Texts
title_short Using Data Compression to Build a Method for Statistically Verified Attribution of Literary Texts
title_sort using data compression to build a method for statistically verified attribution of literary texts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534409/
https://www.ncbi.nlm.nih.gov/pubmed/34682026
http://dx.doi.org/10.3390/e23101302
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