Linguistic Modeling of Polysemous Words for the Semantic Analyzer of The Uzbek Language

Abstract

This article focuses on the semantic analyzer linguistic modeling of polysemous words. A semantic analyzer is a program that semantically processes the syntactic structure of a query using conceptual graphs. Conceptual graphics are semantic or, in other words, conceptual representations of situations and knowledge in natural language comprehension models. The object highlighted in the work had an indirect and direct relation to semantics, the modeling of which was of considerable complexity. In the course of the study, 10 models were compiled to determine some polysemous words in the Uzbek language. Structuring these language models is the first step toward the linguistic foundations of a semantic analyzer. In the future, individual models of each language basis can be developed and applied in practice, and for this purpose, the models presented in the work can serve as models. To launch the semantic analyzer of the Uzbek language, the issue of linguistic modeling of the environment of homonymous, multifunctional, and polysemous words is important. Linguistic modeling of polysemous words for a semantic analyzer lays the foundation for the development of their mathematical algorithms and the creation of a semantic analyzer in the future.