Ollabergan Yuldashev


2024

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UzbekVerbDetection: Rule-based Detection of Verbs in Uzbek Texts
Maksud Sharipov | Elmurod Kuriyozov | Ollabergan Yuldashev | Ogabek Sobirov
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

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.