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HYBRID DEEP MODEL FOR UZBEK LANGUAGE PUNCTUATION PREDICTION

Maksud SharipovDepartment of Computer Sciences , Urgench State University , Urgench , UzbekistanHushnudbek S. AdinaevDepartment of CE , Urgench State University , Urgench , UzbekistanShahzodbek S. Ganijonovth grade , school No.15 , Urgench , Uzbekistan

2026en

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Annotatsiya

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

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Identifikatorlar

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

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