Evaluation of Methods for Analyzing Semantic Ambiguity of Vocabulary and Text

The article considers semantic ambiguity, tension in relation to potential development of conflictological risks. The classifications of methods and techniques for studying the semantic ambiguity of vocabulary and texts are analyzed in order to identify the most effective ones. A literature search conducted in August 2023 made it possible to consider published scientific articles and publicly available information on the category of semantic ambiguity. The chronologic coverage of the works that were involved in the analysis of scientific research in this area covers seven years (2016-2023). The databases used are Scopus, Google Scholar, eLibrary.Ru articles. The methods of analyzing semantic ambiguity that are relevant for modern translation linguistics are shown. Among the traditional methods, the following stand out: 1) lexical and semantic analysis of texts, individual lexemes and phrases; 2) experiments, surveys and tests with further interpretation of the data obtained. It has been revealed that the most acceptable modern methods for identifying semantic ambiguity are the following: 1) conceptological techniques; 2) linguacognitive and discursive approaches; 3) analysis of cognitive metaphors, structures, propositions, etc.; 4) content analysis; 5) analysis of intentions; 6) the use of computer programs, neural network methods for studying ambiguity, including the use of reverse machine translation, comparison of texts for similarity. The study of existing methods for analyzing semantic ambiguity enriches the understanding of this phenomenon. The prospects for the work lie in conducting studies of semantic diffusion, which are associated, firstly, with the expansion of the material; secondly, with establishing the degree of comprehensibility and (or) incomprehensibility of the text for readers, law-abiding citizens.