This article discusses the application of computer technologies and

automated systems in creating thematic dictionaries. It explores the

transformation of traditional dictionary creation methods into data-

driven and technology-based processes, including the use of large

corpora, natural language processing tools, automatic term extraction,

definition creation models, and word sense networks. Furthermore, it

highlights features of tools such as Lexonomy, TLex Suite, FLEx,

and the OntoLex-Lemon model that support word form management,

semantic templating, category creation, and example sentence

generation. The article addresses methodologies like corpus

linguistics, dictionary comparison, quantitative data analysis, and

hypothesis testing for developing local dictionaries. Results indicate

that utilizing these tools accelerates, simplifies, and enhances the

process of connecting ideas in dictionary creation. However, it also

presents certain challenges, particularly evident in morphologically

complex languages like Uzbek. The article also examines features of

lexicographic tools that better align with the demands of modern

language and technology.