Abstract
Speech impairment among preschool children has become a serious problem in society. From year to year, the number of parents who turn to special centers and specialists has increased. To solve this problem, we can develop new technologies in the Kazakh language using natural language processing methods and machine learning. The article describes the system of creating a synonym Dictionary of the Kazakh language for preschool children with speech disorders. We will analyze the current research work, as a result of which we will describe our algorithm and get a synonym dictionary in the Kazakh language. The synonym dictionary works on the development of speech skills correctly and in the native language, increasing the vocabulary depending on the level of the child. The novelty of the proposed approach lies in the identification of semantic close words in meaning in texts in the Kazakh language. This work contributes to solving problems in machine translation systems, information retrieval, as well as in analysis and processing systems in the Kazakh language.
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This research was performed and financed by the Ministry of Science and Higher Education of the Republic of Kazakhstan within the framework of the AP 19577833 scientific project.
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Rakhimova, D., Matanov, N., Rzagaziyeva, A. (2023). Development of a Dictionary for Preschool Children with Weak Speech Skills Based on the Word2Vec Method. In: Nguyen, N.T., et al. Computational Collective Intelligence. ICCCI 2023. Lecture Notes in Computer Science(), vol 14162. Springer, Cham. https://doi.org/10.1007/978-3-031-41456-5_15
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