Journal "Software Engineering"
a journal on theoretical and applied science and technology
ISSN 2220-3397

Issue N5 2019 year

DOI: 10.17587/prin.10.234-240
Software Support in Solving the Problem of Text Attribution
A. A. Rogov, rogov@petrsu.ru, K. A. Kulakov, kulakov@cs.karelia.ru, N. D. Moskin, moskin@petrsu.ru, Petrozavodsk State University, Petrozavodsk, 185910, Russian Federation
Corresponding author: Moskin Nikolai D., Assistant Professor, Petrozavodsk State University, Petrozavodsk, 185910, Russian Federation, E-mail: moskin@petrsu.ru
Received on February 24, 2019
Accepted on March 05, 2019

The article deals with the questions of digitization, markup and software support in solving the problem of attribution of texts. Effective solution of the actual problems of analyzing textual works, including searching for borrowings and determining authorship, requires combining both the work of a linguistic expert and the use of various mathematical methods on large amounts of data. Currently, one of the actual tasks is the analysis of 500 non-attributive publicistic articles from the magazines "Time", "Epoch" and the weekly "Citizen" (1861—1874). It is known that F. M. Dostoevsky edited and headed these magazines; therefore, research on the belonging of these works to his pen has been conducted for a long time. The work shows that modern information systems for attribution support do not allow to carry out such studies, so the staff of Petrozavodsk State University are working on the modernization of the "SMALT" software complex for implementing the text attribution task tool and the "Folklore" information system for automated construction and analysis of graph-theoretic models of texts, which will bring the research to a new level. The paper describing the architecture of the "SMALT", the modular structure of "Folklore" and a mathematical model for defining grammatical features in case of homonymy.

Keywords: text attribution, text markup, data mining, software complex "SMALT", information system "Folklore", F. M. Dostoevsky
pp. 234–240
For citation:
Rogov A. A., Kulakov K. A., Moskin N. D. Software Support in Solving the Problem of Text Attribution, Programmnaya Ingeneria, 2019, vol. 10, no. 5, pp. 234—240.
This work was supported by the Russian Foundation for Basic Research, project nos. 18-012-90026.