TY - GEN

T1 - Rhetorical Structure Theory: Analysis of Aesthetics and Complexity of Song Poetry

AU - Zorkaltsev, Anton V.

N1 - Conference code: 25

PY - 2024

Y1 - 2024

N2 - The rhetorical structure theory is an instrument for text analysis. The idea of this theory is to consider the text as a system of its relational propositions which are the rhetorical relations between the actual propositions. The rhetorical structure of the text reflects its cognitive and semantic aspects. The assumption being tested in this research is that one can use this theory for analyzing aesthetics and complexity of the literary text. Song poetry became the object of this research because it is the most accessible and popular form of literature nowadays. In the course of the research, structural and lexical criteria for identifying the rhetorical relations for the Russian language were formulated. The main result of this research were the metrics of rhetorical complexity and informational aesthetics. The rhetorical complexity is based on the numerical characteristics of the rhetorical trees such as their height and the number of elements in them. The informational aesthetics is initially the value which depends on the entropy of the sign system, and there are different ways to calculate entropy of the rhetorical structure. All the proposed metrics were checked by a survey, and some of them are significantly more accurate than others. The corpus for this research contains 40 texts and 1228 identified relations. The number of different rhetorical relations for this work is 34. The future expansion of this corpus will provide an opportunity for a more accurate assessment of the metrics.

AB - The rhetorical structure theory is an instrument for text analysis. The idea of this theory is to consider the text as a system of its relational propositions which are the rhetorical relations between the actual propositions. The rhetorical structure of the text reflects its cognitive and semantic aspects. The assumption being tested in this research is that one can use this theory for analyzing aesthetics and complexity of the literary text. Song poetry became the object of this research because it is the most accessible and popular form of literature nowadays. In the course of the research, structural and lexical criteria for identifying the rhetorical relations for the Russian language were formulated. The main result of this research were the metrics of rhetorical complexity and informational aesthetics. The rhetorical complexity is based on the numerical characteristics of the rhetorical trees such as their height and the number of elements in them. The informational aesthetics is initially the value which depends on the entropy of the sign system, and there are different ways to calculate entropy of the rhetorical structure. All the proposed metrics were checked by a survey, and some of them are significantly more accurate than others. The corpus for this research contains 40 texts and 1228 identified relations. The number of different rhetorical relations for this work is 34. The future expansion of this corpus will provide an opportunity for a more accurate assessment of the metrics.

KW - Russian philology

KW - entropy

KW - informational aesthetics

KW - modern poetry

KW - rhetorical structure

KW - song poetry

KW - structural linguistics

KW - text complexity

KW - tree graph

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85201979463&origin=inward&txGid=dc3590d6849927aee1d5f532cf6986f5

UR - https://www.mendeley.com/catalogue/7dd7404b-d1b3-322d-869c-93616d80b762/

U2 - 10.1109/EDM61683.2024.10614984

DO - 10.1109/EDM61683.2024.10614984

M3 - Conference contribution

SN - 9798350389234

T3 - International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM

SP - 2210

EP - 2213

BT - International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM

PB - IEEE Computer Society

T2 - 25th IEEE International Conference of Young Professionals in Electron Devices and Materials

Y2 - 28 June 2024 through 2 July 2024

ER -