Bulletin of Advanced English Studies

Volume 2 - Issue 1 (1) | PP: 1 - 10 Language : English
DOI : https://doi.org/10.31559/baes2019.2.1.1

A Categorization Strategy for Objects Metaphors in Ekegusii Pop Songs

Victor Ondara Ntabo
Received Date Revised Date Accepted Date Publication Date
5/9/2018 30/10/2018 25/12/2018 10/3/2019
The principle of Great Chain of Being Metaphor (GCBM) is normally resourceful in the analysis of metaphors. This is because the GCBM assigns a place for any phenomenon in the universe in a strict hierarchical system thus helping in understanding one thing based on another. For example, the objects chain is the second last level which is very useful in conceptualizing objects metaphors in society. Composers of Ekegusii pop songs (EPS) employ objects metaphors which refer to concreteness and abstractness to communicate their message in a subjective manner. However, the GCBM does not effectively account for concreteness and abstractness in objects metaphor analysis. The paper, therefore, devises a categorization strategy to aid in the analysis of the metaphors in EPS. Using a qualitative research design, the study identifies, classifies and interprets the metaphors in the selected EPS using the Conceptual Metaphor Theory (CMT) and the Metaphor Identification Procedure Vrije Universiteit (MIPVU). Obwanchani (Love) EPS by Ontiri Bikundo was purposively sampled for the study based on its richness in metaphors and popularity in FM stations in Kenya. The research found that the objects metaphors are source domains in the construction of metaphors related to human beings in EPS. The paper concludes that metaphors are crucial ways of communication and should be analyzed using a Cognitive Linguistics approach. The study recommends that language researchers should adopt a categorization strategy to effectively analyze the objects metaphors.

How To Cite This Article
, V. O. N. (2019). A Categorization Strategy for Objects Metaphors in Ekegusii Pop Songs . Bulletin of Advanced English Studies, 2 (1), 1-10, 10.31559/baes2019.2.1.1

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