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.
BibTeX
@inproceedings{sharipov-etal-2024-uzbekverbdetection,
title = "{U}zbek{V}erb{D}etection: Rule-based Detection of Verbs in {U}zbek Texts",
author = "Sharipov, Maksud and
Kuriyozov, Elmurod and
Yuldashev, Ollabergan and
Sobirov, Ogabek",
editor = "Calzolari, Nicoletta and
Kan, Min-Yen and
Hoste, Veronique and
Lenci, Alessandro and
Sakti, Sakriani and
Xue, Nianwen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.1506/",
pages = "17343--17347"
}