Maqola

Process of Automatic NER Identification in the Uzbek Language Corpus

Elov Botir BoltayevichTashkent State University of Uzbek Language and Literature Named After Alisher Navoi,Department of Computational Linguistics and Digital Technologies,Tashkent,UzbekistanSamatboyeva Madina To’Lqinjon QiziTashkent State University of Uzbek Language and Literature Named After Alisher Navoi,Department of Computational Linguistics and Digital Technologies,Tashkent,UzbekistanKilichev Bayramali ErgashovichBukhara State University,Department of Uzbek Linguistics and Journalism,Bukhara,UzbekistanIshonkhanova Iroda AbduvakhitovnaTashkent State University of Uzbek Language and Literature Named After Alisher Navoi,Dept of Uzbek Language and Literature Education,Tashkent,UzbekistanKuldasheva Sanobar KhayotovnaTashkent State University of Uzbek Language and Literature Named After Alisher Navoi,Dept of Uzbek Language and Literature Education,Tashkent,Uzbekistan

2025

ABI

Annotatsiya

This article discusses the issues of Named Entity Recognition (NER) and their interpretation in the Uzbek language corpus. Based on the morphological and syntactic rules of Uzbek language grammar, a lexical database (in Uzbek) has been developed, and a rule-based system has been formulated for the automatic identification of Named Entities (NERs) within texts. The article classifies named entities (such as personal names, place names, organization names, etc.) for NER models based on the Uzbek language corpus and describes the methodology used for their interpretation. Additionally, the process of identifying NER entities is presented through specialized diagrams, and the entities themselves are illustrated in tables.

Hali tarjima qilinmagan

Mavzular

Speech Recognition and Synthesis Linguistics and Cultural Studies

Identifikatorlar

DOI: 10.1109/ubmk67458.2025.11206998

Iqtiboslar va manbalar

0 ta iqtibos7 ta foydalanilgan manba

Koʻrsatkichlar — AkademScholar