The algorithms for complex analysis of the corpuses of poetic texts in the Kazakh language

V. B. Barakhnin, O. Yu Kozhemyakina, A. M. Bakiueva, M. K. Sodboev

Результат исследования: Научные публикации в периодических изданияхстатья по материалам конференции

Аннотация

This paper outlines the main approaches to the automation of the process of statistical analysis of the lower structural levels (meter, rhythm, phonetics, vocabulary, grammar) of poetic texts, as well as the algorithms for complex analysis of poetic texts in the Kazakh language are presented in order to automate the process of creation of metric dictionaries and concordances. The results of this analysis will significantly expand the possibilities of the philologists who study both these levels of poetry and their semantic and pragmatic characteristics, and also will rid the philologists of routine work, will expand the range of analyzed works, by reducing the dependence of the quality of comparative analysis on the personal erudition of the researcher.

Язык оригиналаанглийский
Номер статьи012003
ЖурналJournal of Physics: Conference Series
Том1117
Номер выпуска1
DOI
СостояниеОпубликовано - 27 ноя 2018
Событие2018 3rd Big Data Conference, BDC 2018 - Moscow, Российская Федерация
Продолжительность: 14 сен 2018 → …

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