Siberian Federal University

Issue

Journal of Siberian Federal University. Humanities & Social Sciences. 2025 18 (1)

Authors

Golev, Nikolai D.; Napreenko, Galina V.

Contact information

Golev, Nikolai D.: Kemerovo State University Kemerovo, Russian Federation; ; ORCID: 0000-0002-0559-3007; Napreenko, Galina V.: Kemerovo State University Kemerovo, Russian Federation; ; ORCID: 0000-0002-4404-0560

Keywords

text variants; recognized speech; text voicing; linguistic variantology; subjective variability; text interpretation; identity and difference

Abstract

The article is devoted to the study of the relationship between spoken speech and recognized text in the paradigm of linguistic variantology. The study combines the analysis of two processes carried out on the material of a scientific report: voicing the text by the speaker and recognition of the voiced text by a neural network. Voice-over is considered as a subjective interpretation of the written version of the report; recognition of spoken speech is considered as the reverse process, interpretation by neural network recoding. The expansion of the boundaries of variantology is carried out due to the inclusion of the opposition of oral and written in the variantological paradigm and, consequently, the opposition of subjective variability and variability of the text by artificial intelligence. The ratio of text variants, including its code transformations, appears to be a derivational phenomenon containing both identical and distinguishing components, transformations. The results of the study showed that the volume of code modifications does not affect the quality and content of the text

Pages

96–105

EDN

BSPBGK

Paper at repository of SibFU

https://elib.sfu-kras.ru/handle/2311/154379

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).