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

Research output: Contribution to journalConference articlepeer-review

Abstract

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.

Original languageEnglish
Article number012003
JournalJournal of Physics: Conference Series
Volume1117
Issue number1
DOIs
Publication statusPublished - 27 Nov 2018
Event2018 3rd Big Data Conference, BDC 2018 - Moscow, Russian Federation
Duration: 14 Sep 2018 → …

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