Automated Determination of the Type of Genre and Stylistic Coloring of Russian Texts

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

In this paper we propose the algorithm of automated definition of the genre type and semantic characteristics of poetic texts in Russian. We formulated the approaches to the construction of a joint ("twodimensional") classifier of genre types and stylistic colouring of poetic texts, based on the definition of interdependence of the type of genre and stylistic colouring of the text. On the basis of these approaches the principles of formation of the training samples for the algorithms for the definition of styles and genre types were analyzed. The computational experiments with a corpus of texts of the Lyceum lyrics of A.S. Pushkin were implemented, which showed good results in determining the stylistic colouring of poetic texts and sufficient results in determining the genres. The proposed algorithms can be used for automation of the complex analysis of Russian poetic texts, significantly facilitating the work of the expert in determining their styles and genres by providing appropriate recommendations.

Язык оригиналаанглийский
Название основной публикации2017 SEMINAR ON SYSTEMS ANALYSIS
РедакторыE Nikulchev, G Bubnov
ИздательUniversity of Lueneburg, Department of Economics and Social Sciences, Research Institute on Professions
Число страниц4
DOI
СостояниеОпубликовано - 2017
СобытиеSeminar on Systems Analysis - Moscow
Продолжительность: 14 фев 201715 фев 2017

Серия публикаций

НазваниеITM Web of Conferences
ИздательE D P SCIENCES
Том10
ISSN (печатное издание)2271-2097

Конференция

КонференцияSeminar on Systems Analysis
ГородMoscow
Период14.02.201715.02.2017

Цитировать

Barakhnin, V., Kozhemyakina, O., & Pastushkov, I. (2017). Automated Determination of the Type of Genre and Stylistic Coloring of Russian Texts. В E. Nikulchev, & G. Bubnov (Ред.), 2017 SEMINAR ON SYSTEMS ANALYSIS (ITM Web of Conferences; Том 10). University of Lueneburg, Department of Economics and Social Sciences, Research Institute on Professions. https://doi.org/10.1051/itmconf/20171002001