Work

Hybrid Deep Model for Uzbek Language Punctuation Prediction

Year: 2026

Type: article

Abstract: 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

Source: European Science Review

DOI: 10.29013/esr-26-1.2-41-46

Authors: Maksud S. Sharipov, Hushnudbek Adinaev, Shahzodbek S. Ganijonov

Institution: Urgench State University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W7140086159

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