Using Data Compression to Build a Method for Statistically Verified Attribution of Literary Texts |
| |
| Authors: | Boris Ryabko Nadezhda Savina |
| |
| Affiliation: | 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 |
|
