Development of methods, models, and means for the author attribution of a text
Journal Title: Восточно-Европейский журнал передовых технологий - Year 2018, Vol 3, Issue 2
Abstract
<p>The level of accuracy of author attribution of a text is not high enough at the lexical and syntactic levels of a language as these levels are not strictly organized systems. In this study, the author attribution of a text is based on the differentiation of phonostatistical structures of styles.</p><p>We have developed a system of differentiation of phonostatistical structures of styles, which differs from the existing ones by the chosen level of a language ‒ phonological. At this level of a language one can obtain results with a greater accuracy. In addition, the system constructed is based on a modular principle, which makes it possible to rapidly modify the developed software.</p><p>We have developed methods and models that are based on the theory of mathematical statistics and allow the improvement in the accuracy of differentiation of phonostatistical structures of styles. A method was devised for a comprehensive analysis of phonostatistical structures of styles, as well as a multifactor method for determining the degrees of action of factors related to style, substyle, and author's manner of presentation. We have constructed a statistical model of stylistic differentiation using the ranking method, and a statistical model for determining a general stylistic markedness of the examined text. A software system for the differentiation of texts was designed.</p><p>The criterion for the differentiation of texts is the mean frequencies of groups of consonant phonemes.</p><p>In the process of implementing a system we used the programming language java, which ensures that the software is platform-independent.</p><p>This study reports results of the application of the developed methods, models, and software tools. The research results confirm that author attribution of a text at the phonological level is more effective. The developed methods, models, and means for the author attribution of a text could be used when determining the percentage of creative contribution of each of the co-authors of scientific papers.</p>
Authors and Affiliations
Iryna Khomytska, Vasyl Teslyuk, Andriy Holovatyy, Oleksandr Morushko
Keywords
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- EP ID EP527961
- DOI 10.15587/1729-4061.2018.132052
- Views 64
- Downloads 0
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