Talk · International Conference on Modeling, Simulation & Intelligent Computing · December 9, 2024
Improving the search for information from Kazakh-language content in search systems
Zhibek Alibiyeva, Нуржан Мукажанов, Ainur Аkhmediyarova, Дина Оралбекова, Dinara Kassymova
Abstract
The presented paper is devoted to exploring the ways to enhance the possibility of finding Kazakh-language text in search engines and improve the quality of search results. There have not been many studies conducted on data retrieval in the Kazakh language, and major search engines do not prioritize processing languages with small audiences, such as Kazakh. During the study, an analysis was conducted on the search results for Kazakh-language data in two search engines frequently used in Kazakhstan: google.kz and yandex.ru. The analysis revealed that these search engines are unable to sufficiently process textual data in Kazakh. To address this issue, the study proposed utilizing morphological analysis and identifying basic forms of searching words. Further, a test search engine was developed taking into account the identified shortcomings, and its results were compared with the results of other search engines.
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