HYBRID DEEP MODEL FOR UZBEK LANGUAGE PUNCTUATION PREDICTION
Automatic punctuation restoration is one of the important tasks in natural language processing, especially for low-resource languages such as Uzbek, where this problem remains particularly relevant. The lack of sufficiently annotated corpora negatively affects the performance of downstream applications, including sp
Authors
- Maksud Sharipov (ORCID: https://orcid.org/0000-0002-2363-6533)
- Hushnudbek S. Adinaev
- Shahzodbek S. Ganijonov
Publication Details
- Journal
- European Science Review
- Published
- 2026-02-28
- DOI
- https://doi.org/10.29013/esr-26-1.2-41-46
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00