short-paper

Ontology-Based Extraction of Kazakh Language Word Combinations in Natural Language Processing

Authors:

Gaziza Yelibayeva,

Altynbek Sharipbay,

Gulmira Bekmanova,

Assel OmarbekovaAuthors Info & Claims

DATA'21: International Conference on Data Science, E-learning and Information Systems 2021

Pages 58 - 59

https://doi.org/10.1145/3460620.3460631

Published: 04 June 2021 Publication History

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Abstract

This article provides an ontological model of nominative word combinations in the Kazakh language. It is necessary for creation of the automated templates for search of nominative word combinations of the Kazakh language in text corpora. The presented model expands the theory of applied linguistics in the field of extracting information from the text during corpus studies. The results will be used in semantic searches, Q&A systems and in the development of software applications for obtaining knowledge, as well as for training and evaluation of knowledge on the syntax of the Kazakh language in the system of e-learning.

References

[1]

Gaziza Yelibayeva. Assel Mukanova, Bibigul Razakhova, Altynbek Sharipbay, and Altanbek Zulkhazhav. 2019. Combined morphological analyzer of the Kazakh language based on ontological modeling. In Proceedings of Human Language Technologies as a Challenge for Computer Science and Linguistics (LTC ’19). Poznań, Poland, 241-244.

[2]

Altynbek Sharipbay, Bibigul Razakhova, Assel Mukanova, Banu Yergesh, and Gaziza Yelibayeva. 2019. Syntax parsing model of Kazakh simple sentences. In Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems (DATA '19). Dubai, United Arab Emirates, 1-5. https://doi.org/10.1145/3368691.3368745

Digital Library

[3]

Gaziza Yelibayeva, Assel Mukanova, Bibigul Razakhova, Banu Yergesh, and Lena Zhetkenbay. 2019. Linguistic tagging and formal modeling of Kazakh noun adjoinment joining phrases. Messenger of Almaty University of power engineering and telecommunications, 47, 4 (December 2019), 230-236.

[4]

Gaziza Yelibayeva, Altynbek Sharipbay, Assel Mukanova, and Bibigul Razakhova. 2020. Applied Ontology for the Automatic Classification of Simple Sentences of the Kazakh Language. In Proceedings of the 5th International Conference on Computer Science and Engineering (UBMK). Diyarbakır, Turkey, 13-18, 10.1109/UBMK50275.2020.9219461.

[5]

Gaziza Yelibayeva, Assel Mukanova, Altynbek Sharipbay, Altanbek Zulkhazhav, Banu Yergesh, and Gulmira Bekmanova. 2019. Metalanguage and Knowledgebase for Kazakh Morphology. Lecture Notes in Computer Science, Vol. 11619. Springer, Cham. https://doi.org/10.1007/978-3-030-24289-3_51

[6]

Gaziza Yelibayeva, Assel Mukanova, Altanbek Zulkhazhav, Lena Zhetkenbay, and Bibigul Razakhova. 2018. Knowledge extraction from the ontology «Morphology of Kazakh language» by queries. Pedagogy and Psychology, 37, 4, (December 2018), 64-68.

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Zhanpeisov, Е. 2002. Kazakh grammar. Phonetics, word formation, morphology, syntax. Astana polygraphy. Astana, Kazakhstan.

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Myrzatai Sergaliyev. 2004. Syntax researches. Dictionary. Almaty, Kazakhstan.

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Myrzatai Sergaliyev. 2010. Syntax researches. Toraigyrov PSU. Pavlodar, Kazakhstan.

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Shabken Bekturov. 2006. The Kazakh language: lexis, phonetics, morphology, syntax. Atamura. Almaty, Kazakhstan.

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Auelbekova, А. and Beskempirova, G. 2016. Syntax of the modern Kazakh language. Epigraph. Almaty, Kazakhstan.

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Arpabekov, S. 2004. The Kazakh language: Reference book. Dauir. Almaty, Kazakhstan.

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Ivan Smirnov. 2014. Introduction to the analysis of natural languages. RUDN University.

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Bibigul Razakhova, Marzhan Musayf, and Guldana Zhabaeva. 2012. Ontology of word combinations in Kazakh language. In Proceedings of the III International Scientific and practical conference “Informatization of society”. Astana, Kazakhstan, 577-580.

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Bibigul Razakhova, and Altynbek Sharipbayev. 2012. Formalization of syntactic rules of the Kazakh language. L.N. Gumilyov ENU Messenger, special edition, 42-50.

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Protégé. A free, open-source ontology editor and framework for building intelligent systems. Retrieved October 10, 2020 from http://protege.stanford.edu

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Victor Maslov and Sergey Sokolov. 2018. Processing semantic queries in Protégé using the example of constructing an ontology of road signs. Preprints of M.V. Keldysh IAM, Vol. 260, Moscow, https://doi.org/10.20948/prepr-2018-260

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Sergey Gorshkov, Stanislav Kralin, Oksana Mushtak, Sergey Gumerov, Maxim Miroshnichenko, M. G., Alexander Grebeshkov, and Roman Schebalov. 2019. Ontological modeling of enterprises: methods and technologies: monograph. Publishing House of U. Ural, Yekaterinburg, https://trinidata.ru/files/EnterpriseModeling.pdf

Cited By

Rakhimova DKaribayeva AKaryukin VTurarbek ADuisenbekkyzy ZAliyev R(2024)Development of a Children’s Educational Dictionary for a Low-Resource Language Using AI ToolsComputers10.3390/computers1310025313:10(253)Online publication date: 2-Oct-2024
https://doi.org/10.3390/computers13100253
Bogdanchikov AAyazbayev DVarlamis I(2022)Classification of Scientific Documents in the Kazakh Language Using Deep Neural Networks and a Fusion of Images and TextBig Data and Cognitive Computing10.3390/bdcc60401236:4(123)Online publication date: 24-Oct-2022
https://doi.org/10.3390/bdcc6040123
Yelibayeva GRazakhova BYergesh BSharipbay ABekmanova GMukanova A(2022)Modeling of Verb Phrases of the Kazakh Language2022 International Conference on Engineering & MIS (ICEMIS)10.1109/ICEMIS56295.2022.9914015(1-3)Online publication date: 4-Jul-2022
https://doi.org/10.1109/ICEMIS56295.2022.9914015

Index Terms

Ontology-Based Extraction of Kazakh Language Word Combinations in Natural Language Processing

Index terms have been assigned to the content through auto-classification.

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DATA'21: International Conference on Data Science, E-learning and Information Systems 2021

April 2021

277 pages

ISBN:9781450388382

DOI:10.1145/3460620

Editors:
Juan Alfonso Lara Torralbo
UDIMA, Madrid, Spain
,
Shadi A. Aljawarneh
JUST, Jordan
,
Vangipuram Radhakrishna
VNRVJIET, India
,
Arun N.
JAIN, India

Copyright © 2021 ACM.

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Publication History

Published: 04 June 2021

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Ministry of Education and Science of the Republic of Kazakhstan

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DATA'21

DATA'21: International Conference on Data Science, E-learning and Information Systems 2021

April 5 - 7, 2021

Ma'an, Jordan

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Overall Acceptance Rate 74 of 167 submissions, 44%

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Cited By

Rakhimova DKaribayeva AKaryukin VTurarbek ADuisenbekkyzy ZAliyev R(2024)Development of a Children’s Educational Dictionary for a Low-Resource Language Using AI ToolsComputers10.3390/computers1310025313:10(253)Online publication date: 2-Oct-2024
https://doi.org/10.3390/computers13100253
Bogdanchikov AAyazbayev DVarlamis I(2022)Classification of Scientific Documents in the Kazakh Language Using Deep Neural Networks and a Fusion of Images and TextBig Data and Cognitive Computing10.3390/bdcc60401236:4(123)Online publication date: 24-Oct-2022
https://doi.org/10.3390/bdcc6040123
Yelibayeva GRazakhova BYergesh BSharipbay ABekmanova GMukanova A(2022)Modeling of Verb Phrases of the Kazakh Language2022 International Conference on Engineering & MIS (ICEMIS)10.1109/ICEMIS56295.2022.9914015(1-3)Online publication date: 4-Jul-2022
https://doi.org/10.1109/ICEMIS56295.2022.9914015

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