CORPUS-BASED APPROACH TO AGRICULTURAL TERMINOLOGY DICTIONARY COMPILATION (ENGLISH–UZBEK)

Abstract

 This article explores a corpus-based methodology for compiling an English–Uzbek agricultural terminology dictionary. Drawing on corpus linguistics, terminology theory, and bilingual lexicography, the study proposes a structured framework for extracting, analyzing, and standardizing agricultural terms. The research integrates theoretical perspectives from Sinclair (1991), Cabré (1999), and Bowker & Pearson (2002), emphasizing the importance of authentic linguistic data. The findings demonstrate that corpus-driven approaches significantly enhance terminological accuracy, consistency, and usability, particularly for low-resource languages such as Uzbek. A specialized parallel corpus of agricultural texts (approx. 500,000 tokens per language) was compiled and analyzed using corpus tools. The findings demonstrate that compounding (42%) and affixation (32%) are dominant word-formation processes. The study contributes to corpus-based lexicography and supports the development of linguistic resources for low-resource languages.