Abstract
Currently, the volume of various information resources in the Turkic languages is increasing. Processing of such resources requires thesauri and corpora created using a single metalanguage (tagging language) and the knowledge base of subject areas. This article proposes a meta-language of the morphological concepts of the Turkic languages on the example of the Kazakh language, which was used to create the knowledge base of the morphology of the Kazakh language in the Protégé environment. The results of the work were used to develop software applications for semantic search and knowledge extraction, as well as an assessment of knowledge applications on the morphology of the Kazakh language in the e-learning system.
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Acknowledgments
The work was supported by the grant financing for scientific and technical programs and projects by the Ministry of Science and Education of the Republic of Kazakhstan (Grant No. AP05132249, 2018–2020).
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Yelibayeva, G., Mukanova, A., Sharipbay, A., Zulkhazhav, A., Yergesh, B., Bekmanova, G. (2019). Metalanguage and Knowledgebase for Kazakh Morphology. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11619. Springer, Cham. https://doi.org/10.1007/978-3-030-24289-3_51
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DOI: https://doi.org/10.1007/978-3-030-24289-3_51
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