Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Automated Detection of Allusions in Uzbek Language: A Computational Approach. / Mengliev, Davlatyor B.; Abdurakhmonova, Nilufar Z.; Shirinova, Raima Kh et al.
Proceedings of the IEEE 3rd International Conference on Problems of Informatics, Electronics and Radio Engineering, PIERE 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 1560-1564.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
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 -
ID: 64587723