Creating a Model for the Classification of Machinery Terms in the Uzbek Language (Based on Corpus)

This thesis analyzes the issues of creating an automatic classification model for machine-building terms in the Uzbek language based on a corpus. The study examines methods for the linguistic, semantic, and structural separation of terms. A corpus of texts on mechanical engineering has been formed, and statistical and rule-based approaches to the automatic identification of terms and their division into semantic groups have been described. As a result of the study, the possibilities of systematizing technical terminology in the Uzbek language and its application in the field of digital linguistics have been substantiated.