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Sharipbay Altynbek 著者 at IgMin Research

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Biography

Dr. Altynbek Sharipbay is a distinguished academic and researcher specializing in artificial intelligence, computational linguistics, and information security. He holds the position of Professor and Doctor of Technical Sciences at the Department of Artificial Intelligence Technologies at L.N. Gumilyov Eurasian National University (ENU) in Astana, Kazakhstan .

Dr. Sharipbay's academic journey includes significant roles such as the head of the laboratory at the Institute of Problems of Informatics and Management of the National Academy of Sciences of the Republic of Kazakhstan (1992–1997), head of the Department at the Kazakh State Academy of Management (1997–1998), and director of the Center for Information Technologies LLP (1998–2000) . Since 2000, he has been leading the Department of Artificial Intelligence Technologies at ENU and directing the Research Institute "Artificial Intelligence" .

His research interests encompass machine learning, neural networks, natural language processing, and data mining . Dr. Sharipbay has authored over 200 publications, including books, monographs, and dictionary entries, and has supervised numerous theses . His work has contributed to the development of smart systems in the Kazakh language, utilizing AI and computational linguistics methods .

Throughout his career, Dr. Sharipbay has been recognized with several state awards, including the State Prize of the Republic of Kazakhstan in the field of education, science, and technology (2001), the Medal for Merits in the Development of Science (2003), and the "Best University Professor" grant (2005, 2011) .

His contributions have significantly advanced the fields of artificial intelligence and computational linguistics, particularly in the context of Kazakh language processing and information security.

Research Interest

Dr. Sharipbay Altynbek's research interests lie primarily in the fields of artificial intelligence (AI), machine learning, neural networks, natural language processing (NLP), and data mining. He focuses on developing advanced AI techniques and their applications, particularly in computational linguistics, with an emphasis on the Kazakh language. His work aims to bridge the gap between traditional linguistic systems and AI-driven technologies to enhance language processing tools and systems.

Dr. Altynbek is particularly interested in smart systems, exploring how AI can be used to build more intelligent and adaptive software solutions. His research also extends to information security, where he investigates ways to integrate AI and machine learning models for improving the robustness of security systems. Through his extensive academic career, Dr. Altynbek has

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Review Article Article ID: igmin148
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Open Access Policy refers to a set of principles and guidelines aimed at providing unrestricted access to scholarly research and literature. It promotes the free availability and unrestricted use of research outputs, enabling researchers, students, and the general public to access, read, download, and distribute scholarly articles without financial or legal barriers. In this response, I will provide you with an overview of the history and latest resolutions related to Open Access Policy.

The Kazakh Language Requires Reform of its Writing
by Sharipbay Altynbek

The article provides information about modern problems of writing the Kazakh language, the importance of its role and development in the context of mass digitization using artificial intelligence technologies and computational linguistics methods. The incorrectness of the current alphabet of the Kazakh language based on the Cyrillic alphabet is proved in connection with the inclusion of Cyrillic letters in it, denoting phonemes that are not included in its sound structure. The necessity of reforming the Kazakh writing by replacing the incorrect... alphabet is substantiated. Errors and contradictions are shown in the approved version of the Kazakh alphabet based on the Latin alphabet, as well as the alphabet proposed as a replacement for the approved one, in which some previous errors are repeated. In both cases, no analysis and clarification of the sound system of the Kazakh language, which is the basis of any alphabet, is carried out. In this study, to clarify the sound system of the Kazakh language, experiments were carried out to determine the articulation and acoustic features of Kazakh sounds with the help the computer programs used for many natural languages. In the articulation analysis, special attention was paid to vowels, which give rise to various contradictions in the Kazakh letter. It is proposed to use a new classification of vowels according to four binary features, rather than the traditional classification according to three binary features. Acoustic analysis uses the method of formant analysis, which is aimed at identifying certain formants in the spectrogram. The formant is obtained using a spectrograph. Quantitatively, the formants correspond to the maxima in the speech spectrum and usually appear on spectrograms as horizontal bands. After determining the composition and classification of the sound system of the Kazakh language, two variants of the alphabet based on the Latin alphabet are proposed: the first one is based on the Turkish alphabet using diacritical marks; the second is based on the English alphabet using digraphs. The second option offers ways to solve problems that arise when using digraphs. In conclusion, information is provided on the ongoing and ongoing work in Kazakhstan related to the creation of smart systems in the Kazakh language based on the methods and technologies of artificial intelligence and computational linguistics, the results of which are reflected in the list of sources.

Educational Science
Sharipbay Altynbek

Author

仕事内容

 L. N. Gumilyov Eurasian National University

 Doctor of Technical Sciences, Professor of Department of Artificial Intelligence Technology, L. N. Gumilyov Eurasian National University, Astana, Kazakhstan

 Kazakhstan

ORCID 0000-0001-5334-1253

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