NER: Methods FOR Automatic Identification of Anthroponyms in Uzbek Texts

This article discusses methods for the automatic identification of anthroponyms (personal names) as Named Entity Recognition (NER - Named Entity Recognition) objects. Anthroponyms not only denote human names but also reflect the history, origins, reasons for selection as personal names, and existing linguistic features. Therefore, in studying and modeling anthroponyms, methods for identifying named entities were primarily utilized. The article examines the rule-based approach employed in identifying NER objects. This research provides information on scientific studies conducted based on anthroponyms. Additionally, one of the primary characteristics of anthroponyms - the property of proper nouns and their distinction from common nouns - is presented, along with key terms within the scope of anthroponymy. Also, in the article, models for automatic recognition of human names using the grammatical rules of the Uzbek language were developed and partially presented in the article. In our future scientific work, labels based on these models will be developed, automated to the computer and used for work on texts.