RECURSIVE MODEL OF SPEECH ACT

Abstract

The work lies in the field of qualitative analysis and markup of the text and is devoted to the development of a pragmatic model of the speech act. The goal of the study is to develop a method for marking recursion in a speech act (RA) and a model for writing (decoding) a semantic graph that allows the use of automated methods of text recognition through the step-by-step implementation of a certain list of tasks. The scientific novelty lies in the development of methods for decoding language concepts into speech constructs. The result of the work is the method of marking up recursion in a speech act and the model of writing (decoding) the semantic graph, which allows the use of automated methods of text recognition, developed for the first time by the authors. The use of a new approach to text markup (in accordance with the developed classification of RA concepts) and new methods of automated text analysis (when they are pre-decoded into a semantic graph) allows to proceed to solving search problems in Big Data arrays.