JOURNAL ARTICLE
The Structural and Lexical-Semantic Groups of the Terms Denoting Colours in the Georgian Symbolists' Works.
Published In: Spekali: An Electronic bilingual Scholarly Peer-reviewed Journal of the Faculty of Humanities at Ivane Javakhishvili Tbilisi State University, 2024, n. 18. P. 1 1 of 3
Database: Humanities Source Ultimate 2 of 3
Authored By: Sanaia, Pheride 3 of 3
Abstract
The article explores the historical and cultural significance of color perception and symbolism, tracing its evolution from ancient literature to modern semiotics. It highlights key contributions from figures such as Leonardo da Vinci and Goethe, and discusses the foundational work of Berlin and Kay on basic color terms, which categorize colors into universally understood concepts. The article emphasizes that colors carry different meanings across cultures, with specific examples illustrating how colors like black and white can symbolize contrasting emotions and concepts, such as death and purity. Additionally, it examines the linguistic aspects of color terminology in Georgian poetry, noting how colors are used to evoke emotions and convey deeper meanings within cultural contexts. [Extracted from the article]
Additional Information
- Source:Spekali: An Electronic bilingual Scholarly Peer-reviewed Journal of the Faculty of Humanities at Ivane Javakhishvili Tbilisi State University. 2024/01, Issue 18, p1
- Document Type:Article
- Subject Area:Literature and Writing
- Publication Date:2024
- ISSN:19878583
- DOI:10.55804/jtsuSPEKALI-18-17
- Accession Number:189398658
- Copyright Statement:Copyright of Spekali: An Electronic bilingual Scholarly Peer-reviewed Journal of the Faculty of Humanities at Ivane Javakhishvili Tbilisi State University is the property of Ivane Javakhishvili Tbilisi State University & Georgian Medical Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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