The mBERT Model for Restoring Punctuation in Uzbek-Language Texts

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

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Publication Details

Journal
European Science Review
Published
2025-09-30
DOI
https://doi.org/10.29013/esr-25-7.8-28-33
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

The mBERT Model for Restoring Punctuation in Uzbek-Language Texts

Hushnudbek S. Adinaev
European Science Review
Natural Language Processing Techniques
article

The mBERT Model for Restoring Punctuation in Uzbek-Language Texts

Hushnudbek S. Adinaev
article en

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

European Science Review
Openalex Percentile: Top 86%
Natural Language Processing Techniques
DOIOpen Access PDFOpenAlex
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The mBERT Model for Restoring Punctuation in Uzbek-Language Texts — Hushnudbek S. Adinaev · European Science Review (2025) | TGRS Research Map | TGRS