TY - GEN

T1 - Automated Detection of Allusions in Uzbek Language: A Computational Approach

AU - Mengliev, Davlatyor B.

AU - Abdurakhmonova, Nilufar Z.

AU - Shirinova, Raima Kh

AU - Saparova, Mohira F.

AU - Azimov, Inomjon M.

AU - Ibragimov, Bahodir B.

N1 - Conference code: 3

PY - 2024

Y1 - 2024

N2 - 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%.

AB - 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%.

KW - Allusion detection

KW - BIO-tagging

KW - Uzbek language

KW - corpus annotation

KW - cultural references

KW - custom algorithm

KW - dictionary based approach

KW - historical allusions

KW - literary analysis

KW - natural language processing

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85216588914&origin=inward&txGid=a4965e09c8e6bf7a6ed5661dfe0616c0

UR - https://www.mendeley.com/catalogue/0a07ba3c-4800-3394-8213-f224a1d23567/

U2 - 10.1109/PIERE62470.2024.10804911

DO - 10.1109/PIERE62470.2024.10804911

M3 - Conference contribution

SN - 979-8-3315-1633-8

SP - 1560

EP - 1564

BT - Proceedings of the IEEE 3rd International Conference on Problems of Informatics, Electronics and Radio Engineering, PIERE 2024

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE International Conference on Problems of Informatics, Electronics and Radio Engineering

Y2 - 15 November 2024 through 17 November 2024

ER -