PROSPECTS FOR THE DEVELOPMENT OF CORPUS LINGUISTICS IN THE UZBEK LANGUAGE

Abstract

This article provides an exhaustive, in-depth examination of the strategic development of corpus linguistics within the Republic of Uzbekistan, meticulously focusing on the rigorous technical and linguistic requirements essential for establishing a comprehensive, multi-layered national language database. As a primary member of the Turkic family, the Uzbek language is characterized by an agglutinative structure that presents unique and highly complex challenges for modern computational morphological analysis, automated lemmatization, and deep semantic tagging. The study critically evaluates the existing digital infrastructure of the Uzbek National Corpus and identifies pivotal future prospects, including the seamless integration of state-of-the-art deep learning architectures and the creation of specialized multi-dialectal and diachronic datasets. Furthermore, the research highlights the transformative role of synthetic data in overcoming historical low-resource limitations.