@inproceedings{sharipov-etal-2024-uzbekverbdetection-rule,
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",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T UzbekVerbDetection: Rule-based Detection of Verbs in Uzbek Texts
%A Sharipov, Maksud
%A Kuriyozov, Elmurod
%A Yuldashev, Ollabergan
%A Sobirov, Ogabek
%Y Calzolari, Nicoletta
%Y Kan, Min-Yen
%Y Hoste, Veronique
%Y Lenci, Alessandro
%Y Sakti, Sakriani
%Y Xue, Nianwen
%S Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F sharipov-etal-2024-uzbekverbdetection-rule
%X 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.
%U https://aclanthology.org/2024.lrec-main.1506
%P 17343-17347
Markdown (Informal)
[UzbekVerbDetection: Rule-based Detection of Verbs in Uzbek Texts](https://aclanthology.org/2024.lrec-main.1506) (Sharipov et al., LREC-COLING 2024)
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.