CONVENTIONAL INTONATION NORM AS A FUZZY SET: FUZZIFIERS AND DEFUZZIFIERS

Abstract

Purpose. The paper is given to the topic of probabilistic characteristics of the discourse units, being relevant in the course of present-day tendencies towards digitalization of the discourse. The subject for analysis is represented by prosodic characteristics of read-aloud speech imitating face-to-face dialogue. The author aims at representing the conventional intonation norm as a fuzzy set of phonologized intonation contours (ICs). The paper states the factors that determine the specific character of ICs and suggests defining these factors in terms of fuzzy logic.
 Methodology. The methodology of the research is based on the interdisciplinary cognitive-discursive approach to studying verbal interaction in discourse, which requires taking into consideration cognitive and discourse factors. The methodology of the presented research also includes regulations stated by the experimental discourse analysis and specified for the purposes of experimental prosodic research.
 Results. Computer analysis helps to describe specific features of prosodic organization of the utterance and identify factors that determine this specificity. Identifying determining factors allows to define them as fuzzifiers and defuzzifiers, which help to transmit the meaning of the utterance.
 Practical application. The results of the research can be used in creating online/web applications with voice activation/interaction. The results can also be used L2 teaching to advanced students.