Gaziza Yelibayeva
Editorial Notes
NOTICE OF CONCERN: ACM has received evidence that casts doubt on the integrity of the peer review process for the DATA 2021 Conference. As a result, ACM is issuing a Notice of Concern for all papers published and strongly suggests that the papers from this Conference not be cited in the literature until ACM's investigation has concluded and final decisions have been made regarding the integrity of the peer review process for this Conference.
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.
- 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.Google Scholar
- 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/10.1145/3368691.3368745Google ScholarDigital Library
- 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.Google ScholarCross Ref
- 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.Google ScholarCross Ref
- 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_51Google Scholar
- 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.Google Scholar
- Zhanpeisov, Е. 2002. Kazakh grammar. Phonetics, word formation, morphology, syntax. Astana polygraphy. Astana, Kazakhstan.Google Scholar
- Myrzatai Sergaliyev. 2004. Syntax researches. Dictionary. Almaty, Kazakhstan.Google Scholar
- Myrzatai Sergaliyev. 2010. Syntax researches. Toraigyrov PSU. Pavlodar, Kazakhstan.Google Scholar
- Maulen Balakayev. 2006. The modern Kazakh language: Syntax of phrases and simple sentences. L.N. Gumilyov ENU. Astana, Kazakhstan.Google Scholar
- Shabken Bekturov. 2006. The Kazakh language: lexis, phonetics, morphology, syntax. Atamura. Almaty, Kazakhstan.Google Scholar
- Auelbekova, А. and Beskempirova, G. 2016. Syntax of the modern Kazakh language. Epigraph. Almaty, Kazakhstan.Google Scholar
- Arpabekov, S. 2004. The Kazakh language: Reference book. Dauir. Almaty, Kazakhstan.Google Scholar
- Ivan Smirnov. 2014. Introduction to the analysis of natural languages. RUDN University.Google Scholar
- 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.Google Scholar
- Bibigul Razakhova, and Altynbek Sharipbayev. 2012. Formalization of syntactic rules of the Kazakh language. L.N. Gumilyov ENU Messenger, special edition, 42-50.Google Scholar
- Protégé. A free, open-source ontology editor and framework for building intelligent systems. Retrieved October 10, 2020 from http://protege.stanford.eduGoogle Scholar
- 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-2018-260Google Scholar
- 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.pdfGoogle Scholar
Index Terms
- Ontology-Based Extraction of Kazakh Language Word Combinations in Natural Language Processing
Recommendations
Text independent root word identification in Hindi language using natural language processing
In this paper, an attempt is made to parse Hindi words to identify root word from an inflected word using natural language processing NLP technique. Stemming is a heuristic process that chops off the ends of words to find the root word and often ...
Comments