UzbekVerbDetection: Rule-based Detection of Verbs in Uzbek Texts

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 the Uzbek language, verb detection is challenging due to the complexity of its morphology and the agglutinative nature of the language.This paper proposes a rulebased 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 the 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.

Hali tarjima qilinmagan