Year: 2025
Type: article
Abstract: This study proposes an mBERT-based approach for restoring punctuation in Uzbek-language texts. The main objective is to ensure the structural coherence of Uzbek texts by accurately reinserting punctuation marks. Using the mBERT model, we first predict punctuation for each token and then compare the prediction with a
Source: European Science Review
Author: Hushnudbek S. Adinaev
Institution: Urgench State University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4414645196
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