Standard

The algorithms for complex analysis of the corpuses of poetic texts in the Kazakh language. / Barakhnin, V. B.; Kozhemyakina, O. Yu; Bakiueva, A. M. et al.

In: Journal of Physics: Conference Series, Vol. 1117, No. 1, 012003, 27.11.2018.

Research output: Contribution to journal › Conference article › peer-review

Harvard

Barakhnin, VB, Kozhemyakina, OY, Bakiueva, AM & Sodboev, MK 2018, 'The algorithms for complex analysis of the corpuses of poetic texts in the Kazakh language', Journal of Physics: Conference Series, vol. 1117, no. 1, 012003. https://doi.org/10.1088/1742-6596/1117/1/012003

APA

Barakhnin, V. B., Kozhemyakina, O. Y., Bakiueva, A. M., & Sodboev, M. K. (2018). The algorithms for complex analysis of the corpuses of poetic texts in the Kazakh language. Journal of Physics: Conference Series, 1117(1), [012003]. https://doi.org/10.1088/1742-6596/1117/1/012003

Vancouver

Barakhnin VB, Kozhemyakina OY, Bakiueva AM, Sodboev MK. The algorithms for complex analysis of the corpuses of poetic texts in the Kazakh language. Journal of Physics: Conference Series. 2018 Nov 27;1117(1):012003. doi: 10.1088/1742-6596/1117/1/012003

Author

Barakhnin, V. B. ; Kozhemyakina, O. Yu ; Bakiueva, A. M. et al. / The algorithms for complex analysis of the corpuses of poetic texts in the Kazakh language. In: Journal of Physics: Conference Series. 2018 ; Vol. 1117, No. 1.

BibTeX

@article{ed7f526157424c43995636980d761638,
title = "The algorithms for complex analysis of the corpuses of poetic texts in the Kazakh language",
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.",
author = "Barakhnin, {V. B.} and Kozhemyakina, {O. Yu} and Bakiueva, {A. M.} and Sodboev, {M. K.}",
year = "2018",
month = nov,
day = "27",
doi = "10.1088/1742-6596/1117/1/012003",
language = "English",
volume = "1117",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "1",
note = "2018 3rd Big Data Conference, BDC 2018 ; Conference date: 14-09-2018",

}

RIS

TY - JOUR

T1 - The algorithms for complex analysis of the corpuses of poetic texts in the Kazakh language

AU - Barakhnin, V. B.

AU - Kozhemyakina, O. Yu

AU - Bakiueva, A. M.

AU - Sodboev, M. K.

PY - 2018/11/27

Y1 - 2018/11/27

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85058304213&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1117/1/012003

DO - 10.1088/1742-6596/1117/1/012003

M3 - Conference article

AN - SCOPUS:85058304213

VL - 1117

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012003

T2 - 2018 3rd Big Data Conference, BDC 2018

Y2 - 14 September 2018

ER -

ID: 17896095