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:
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.lrec-main.1506.pdf