Talk · IEEE International Conference on Problems of Informatics, Electronics and Radio Engineering · November 15, 2024
Automated Detection of Allusions in Uzbek Language: A Computational Approach
Davlatyor B. Mengliev, Nilufar Z. Abdurakhmonova, Raima Kh. Shirinova, Saparova Mohira Fayzullayevna, Inomjon Azimov, Bahodir B. Ibragimov
Abstract
Allusions play a significant role in literary and cultural works, serving as a tool for conveying deep meanings embedded by authors. In the Uzbek language, as in many other languages, allusions are commonly used to create more complex narratives, which allows us to connect the work with broader cultural or historical traditions. However, identifying these allusions, and even more so interpreting them, presents significant challenges for readers. In recent years, it might be seen the active development of algorithms and different kind of solutions for various text analysis tasks. Among these tasks, identifying metaphors, idioms, and allusions can be singled out as one of the most difficult tasks, due to the need for a deeper understanding of the text. Moreover, interpreting allusions requires interdisciplinary knowledge in the field of literature, cultural studies, linguistics, and more. This article discusses the development of an algorithm for the automatic detection of allusions in the Uzbek language, aimed at helping researchers and readers fully understand the meaning conveyed by authors. In addition, the proposed solution can help linguists and those who study the Uzbek language. The algorithm uses two dictionaries, where first consist of 10,000 tagged sentences, while second contains over 80 thousand word forms. At the same time, the algorithm was tested and as a result of a number of experiments, the efficiency of the work was revealed, where the accuracy of the algorithm reached range from 82,6% to 100%.
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