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BULLETIN Series of Philological Sciences

THE TECHNOLOGY OF SEMI-AUTOMATIC META-MARKUP PROGRAM AND THE PRINCIPLES OF AUTOMATING THE MORPHOLOGICAL MARKUP OF THE KAZAKH LANGUAGE NATIONAL CORPUS TEXTS

Published June 2021
Al-Farabi Kazakh National University
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К. Pirmanova

PhD student

A.Baitursynov Institute of Linguistics
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B. Karbozova

PhD 

A.Baitursynov Institute of Linguistics
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D. Tokmyrzhayev

programmer, researcher

Abstract

When studying the Kazakh language, it is necessary to pay great attention to the field of corpus linguistics and study its theoretical and practical aspects of the world level. Special editions of scientific journals also publish articles on General and specific issues related to the creation and operation of text corpora around the world. However, it is known that Kazakh linguistics requires special study of many issues related to corpus linguistics. It includes: the definition of corpus linguistics and its main concepts, the place of corpus linguistics in the structure of linguistics, methods, etc. Theoretical and practical aspects of the above-mentioned corpus linguistics should also be taken into account when creating a database of texts in the Kazakh language based on a computer corpus. If corpus linguistics is formed as a special section of Kazakh linguistics, it will allow many specialists in the Kazakh language to use large-scale experimental materials, find the necessary language data and make appropriate changes. All this contributes to a new look at the empirical approaches to the reliability of research in the Kazakh language and the introduction of the most important language materials in the field of science.

pdf (Рус)
Language

Рус

How to Cite

[1]
Пирманова , К., Карбозова , Б. and Токмырзаев , Д. 2021. THE TECHNOLOGY OF SEMI-AUTOMATIC META-MARKUP PROGRAM AND THE PRINCIPLES OF AUTOMATING THE MORPHOLOGICAL MARKUP OF THE KAZAKH LANGUAGE NATIONAL CORPUS TEXTS. BULLETIN Series of Philological Sciences. 4, 4(74) (Jun. 2021), 276–284. DOI:https://doi.org/10.51889/2020-4.1728-7804.60.