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Conference object . 2025
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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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SEMANTICS OF LEXICAL UNITS EXPRESSING EMOTIONS IN ENGLISH AND UZBEK

Authors: Izzatilloyeva Gulira'no Hikmatillo qizi;

SEMANTICS OF LEXICAL UNITS EXPRESSING EMOTIONS IN ENGLISH AND UZBEK

Abstract

This research investigates the meanings of emotion-related words in English and Uzbek by using a comparative linguistic method to identify the similarities and differences in how emotions are understood in these two distinct languages. Utilizing semantic field theory and prototype semantics, the study analyzes a collection of emotion-related terms sourced from a corpus, focusing on key categories such as joy, anger, sadness, fear, and surprise, along with their derived and idiomatic forms. The methodology integrates qualitative semantic mapping with quantitative frequency analysis from bilingual corpora, revealing how cultural frameworks influence lexical representation—specifically, the prevalence of somatic metaphors in Uzbek emotional expressions compared to the more abstract concepts found in English. Key findings emphasize polysemy, connotative shifts, and context-dependent interpretations that reflect sociocultural norms, such as the contrast between collectivist and individualist approaches to emotional expression. This study contributes to cross-linguistic typology, offering insights for machine translation, second-language education, and intercultural psychology by linking linguistic relativity with universal emotions.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green