The research presented in this paper is aimed at the analysis of dynamic organization of a literary text. Using the statistical time series method, the dynamics of the main extensive text variables - the mean paragraph length and the mean sentence length - is considered. The material for this study was the annotated subcorpus from the Corpus of the Russian Short Stories of 1900-1930, which consists of 310 stories written by 300 Russian writers. It was narrative fragments of texts (the narrator's speech) that were subjected to analysis, dialogical fragments were not taken into consideration. As a result, the most frequent dynamic profiles of paragraph length and sentence length were obtained, which reflect the most typical structures of the dynamic organization of short literary texts.

Язык оригиналаанглийский
Страницы (с-по)102-114
Число страниц13
ЖурналCEUR Workshop Proceedings
Том2780
СостояниеОпубликовано - 2020
Событие2020 Computational Models in Language and Speech Workshop, CMLS 2020 - Kazan, Российская Федерация
Продолжительность: 12 ноя 2020 → 13 ноя 2020

    Предметные области Scopus

  • Компьютерные науки (все)

ID: 88462113