Soft computing in modern philology

Abstract

The relevance of soft computing in modern philology is growing along with the need to analyze and process large amounts of linguistic data containing complex, ambiguous and culturally determined aspects. Soft computing opens up new possibilities for the study of linguistic phenomena, text structures, stylistics and cultural contexts, which is extremely important for modern philologists. Soft Computing in modern linguistics refers to methods and approaches that help to process and analyze language, taking into account its complexity, ambiguity and flexibility. These methods allow working with ambiguous, incomplete or imprecise data, which is often found in natural language. Linguistic tasks such as syntactic and semantic analysis, language recognition, machine translation/interpretation, morphological analysis, etc., often require a particularly flexible approach. The article presents the results of research on the use of soft computing in modern philology, in particular, the relevance and importance of mathematical modeling of uncertainty (probability and vagueness) in modern philological scientific and practical research is proven, important cybernetic methods and algorithms of soft computing in mathematical linguistics are identified, applied soft computing technologies are systematized in machine linguistics, the priority directions of the applied application of soft computing in applied problems of linguistics are proposed.