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Using Data Compression to Build a Method for Statistically Verified Attribution of Literary Texts
Authors:Boris Ryabko  Nadezhda Savina
Institution:1.Federal Research Center for Information and Computational Technologies of SB RAS, 630090 Novosibirsk, Russia;2.Department of Information Technologies, Novosibirsk State University, 630090 Novosibirsk, Russia;
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:data compression  authorship attribution of literary texts  hypothesis testing  quantitative study of literature
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