This article examines the development of a logical-linguistic model of the noun category in the Korean
language and the creation of an electronic database of prefixes and affixes attached to nouns. The study systematically
analyzes the morphological, syntactic, and semantic features of Korean nouns and highlights their application in
computational linguistics and machine translation systems. In addition, the prefixes and affixes involved in noun formation
are classified. As a result, semantic databases have been developed that enable the optimization of processes such as
automatic analysis, indexing, and translation of Korean nouns.
Publication Date: 2026-06-01