UzbekVerbDetection: Rule-based Detection of Verbs in Uzbek Texts

Maksud Sharipov, Elmurod Kuriyozov, Ollabergan Yuldashev, Ogabek Sobirov

Abstract
Verb detection is a fundamental task in natural language processing that involves identifying the action or state expressed by a verb in a sentence. However, in Uzbek language, verb detection is challenging due to the complexity of its morphology and the agglutinative nature of the language. In this paper, we propose a rule-based approach for verb detection in Uzbek texts based on affixes/suffixes. Our method is based on a set of rules that capture the morphological patterns of verb forms in Uzbek language. We evaluate the proposed approach on a dataset of Uzbek texts and report an F1-score of 0.97, which outperforms existing methods for verb detection in Uzbek language. Our results suggest that rule-based approaches can be effective for verb detection in Uzbek texts and have potential applications in various natural language processing tasks.
Anthology ID:
2024.lrec-main.1506
Volume:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Month:
May
Year:
2024
Address:
Torino, Italia
Editors:
Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
Venues:
LREC | COLING
SIG:
Publisher:
ELRA and ICCL
Note:
Pages:
17343–17347
Language:
URL:
https://aclanthology.org/2024.lrec-main.1506
DOI:
Bibkey:
Cite (ACL):
Maksud Sharipov, Elmurod Kuriyozov, Ollabergan Yuldashev, and Ogabek Sobirov. 2024. UzbekVerbDetection: Rule-based Detection of Verbs in Uzbek Texts. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 17343–17347, Torino, Italia. ELRA and ICCL.
Cite (Informal):
UzbekVerbDetection: Rule-based Detection of Verbs in Uzbek Texts (Sharipov et al., LREC-COLING 2024)
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