Dynamics of Structural and Semantic Characteristics in Verbalizers of Concepts БІЛЬ ‘PAIN’ and МУКА ‘TORMENT’ in Ukrainian Fiction

The paper is devoted to the study of changes in the processes of metaphorization, in particular, focusing on the concepts EIJIh ‘PAIN’ and MYKA ‘TORMENT’. <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$A$</tex> comprehensive methodology combines structural and semantic modeling of metaphors, conceptual analysis, and statistical tools. In GRAC, we created two subcorpora of Ukrainian fiction texts from 1901 to 2000 and 2001 to 2023. Through automatic/automated identification of metaphors, the structural model of verb+noun was identified and analyzed. The list of dominant models of metaphorization of concepts EIJIh ‘PAIN’ and MYKA ‘TORMENT’ is drawn up. Analyzing quantitative and qualitative data is conducted. The statistical indicators (Student's t-test, Spearman's p, PCC) confirm the conclusions about the dynamics of metaphorical changes in concepts and their correlation.

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Published
2024-10-16
DOI
https://doi.org/10.1109/csit65290.2024.10982686
Primary Topic
Diverse Scientific Research in Ukraine
Type
article
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article

Dynamics of Structural and Semantic Characteristics in Verbalizers of Concepts БІЛЬ ‘PAIN’ and МУКА ‘TORMENT’ in Ukrainian Fiction

Олена Левченко, Olena-Anna Hultso
Diverse Scientific Research in Ukraine
article

Dynamics of Structural and Semantic Characteristics in Verbalizers of Concepts БІЛЬ ‘PAIN’ and МУКА ‘TORMENT’ in Ukrainian Fiction

Олена Левченко, Olena-Anna Hultso
article en

Abstract

The paper is devoted to the study of changes in the processes of metaphorization, in particular, focusing on the concepts EIJIh ‘PAIN’ and MYKA ‘TORMENT’. <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$A$</tex> comprehensive methodology combines structural and semantic modeling of metaphors, conceptual analysis, and statistical tools. In GRAC, we created two subcorpora of Ukrainian fiction texts from 1901 to 2000 and 2001 to 2023. Through automatic/automated identification of metaphors, the structural model of verb+noun was identified and analyzed. The list of dominant models of metaphorization of concepts EIJIh ‘PAIN’ and MYKA ‘TORMENT’ is drawn up. Analyzing quantitative and qualitative data is conducted. The statistical indicators (Student's t-test, Spearman's p, PCC) confirm the conclusions about the dynamics of metaphorical changes in concepts and their correlation.

Lviv Polytechnic National University (UA)
Reduced inequalities
Openalex Percentile: Top 76%
Diverse Scientific Research in Ukraine
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