KAZAKH LANGUAGE-BASED QUESTION ANSWERING SYSTEM USING DEEP LEARNING APPROACH
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Date
2023
Authors
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Journal ISSN
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Publisher
СДУ хабаршысы - 2023
Abstract
Abstract. Deep learning advances have resulted in considerable gains in a variety of natural language processing applications, including questionanswering (QA) systems. QA systems are intended to retrieve data from big datasets and respond to user queries using natural language. Deep learning-based techniques have yielded encouraging results in the development of QA systems capable of providing consistent answers to a wide range of inquiries. This research presents a deep learning-based Kazakh language-based QA system. A pre-processing module is also included in the proposed system to improve the quality of the input text and the accuracy of the final output. The results reveal that the system has a high level of accuracy. This study promotes to the advancement of question-answering technology and contributes to the development of natural language processing tools in the Kazakh language.
Description
Keywords
Kazakh language, question-answering system, natural language processing, deep learning approach, accuracy, СДУ хабаршысы - 2023, №1
Citation
A. Bilakhanova , A. Ydyrvs , N. Sultanova / KAZAKH LANGUAGE-BASED QUESTION ANSWERING SYSTEM USING DEEP LEARNING APPROACH / СДУ хабаршысы - 2023