ELECTRONIC LITERARY TEXT AS AN OBJECT OF LINGUISTIC RESEARCH: THE PROBLEM OF DEFINITION AND TYPOLOGY

The rapid development of technology makes electronic communication one of the most important in the life of a modern person. The main unit of this communication is an electronic text, the linguistic research of which began at the end of the 20th century. Literary text occupies an important place among electronic texts. The analysis of structural-semantic and functional features of electronic fiction text in modern Russian linguistics is quite diverse. However, the problem of defining the main features such texts remains unsolved. The article describes the essential features of an existing literary text in electronic form, differentiates the concepts of electronic literary text, digital text, computer text and electronic text. The author pays special attention to texts generated using a neural network, and examines the uniqueness of artistic texts created by artificial intelligence on the user's instructions. The research materials are electronic literary texts published on various Russian-language resources, as well as texts created using the virtual voice assistant Alice developed by Yandex. As a result of a versatile analysis of electronic literary texts, the author presents a typology whose criteria are functional features, structure and presence of the author. In terms of functional features, there are unique and non-unique fiction texts. Non-unique ones are a copy of a printed text or a source for a printed text. In terms of structural specificity, the author divides the analyzed texts into linear and non-linear texts. The latter include both monocode and polycode texts. Depending on the presence of an author, there are authorial and non-authorial (or neural network-written) texts.

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Publication Details

Journal
Tula Scientific Bulletin History Linguistics
Published
2025-03-04
DOI
https://doi.org/10.22405/2712-8407-2025-1-111-121
Primary Topic
Library Science and Information
Type
article
Field-Weighted Citation Impact
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article

ELECTRONIC LITERARY TEXT AS AN OBJECT OF LINGUISTIC RESEARCH: THE PROBLEM OF DEFINITION AND TYPOLOGY

Анна Юрьевна Карпова
Tula Scientific Bulletin History Linguistics
Library Science and Information
article

ELECTRONIC LITERARY TEXT AS AN OBJECT OF LINGUISTIC RESEARCH: THE PROBLEM OF DEFINITION AND TYPOLOGY

Анна Юрьевна Карпова
article en

Abstract

The rapid development of technology makes electronic communication one of the most important in the life of a modern person. The main unit of this communication is an electronic text, the linguistic research of which began at the end of the 20th century. Literary text occupies an important place among electronic texts. The analysis of structural-semantic and functional features of electronic fiction text in modern Russian linguistics is quite diverse. However, the problem of defining the main features such texts remains unsolved. The article describes the essential features of an existing literary text in electronic form, differentiates the concepts of electronic literary text, digital text, computer text and electronic text. The author pays special attention to texts generated using a neural network, and examines the uniqueness of artistic texts created by artificial intelligence on the user's instructions. The research materials are electronic literary texts published on various Russian-language resources, as well as texts created using the virtual voice assistant Alice developed by Yandex. As a result of a versatile analysis of electronic literary texts, the author presents a typology whose criteria are functional features, structure and presence of the author. In terms of functional features, there are unique and non-unique fiction texts. Non-unique ones are a copy of a printed text or a source for a printed text. In terms of structural specificity, the author divides the analyzed texts into linear and non-linear texts. The latter include both monocode and polycode texts. Depending on the presence of an author, there are authorial and non-authorial (or neural network-written) texts.

Tula Scientific Bulletin History Linguistics(1(21))
Openalex Percentile: Top 90%
Library Science and Information
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