TY - JOUR
T1 - A corpus-based approach to emotion metaphors in Korean
T2 - A case study of anger, happiness, and sadness
AU - Turker, Ebru
N1 - Funding Information:
1. This work was supported by a grant from the Academy of Korean Studies (AKS-2008-R-70). I am indebted to Raymond Gibbs and two anonymous reviewers for their comments on earlier draft of this article. My thanks are due to Eun Kyung Lee who acted as research assistant throughout this project, helping with data collection and data coding.
PY - 2013
Y1 - 2013
N2 - The major goal of this study is to investigate conceptual emotion metaphors of Korean, particularly those of ANGER, HAPPINESS, and SADNESS, by utilizing a corpus-based analysis. The universality of conceptual metaphors continues to be a controversial topic in cognitive linguistics and thus, more cross-linguistic and language-specific studies are needed to support the theoretical framework of the Conceptual Metaphor Theory (CMT). To this end, the current study identifies and examines Korean metaphorical expressions through a conceptual analysis, supported by both quantitative and qualitative methods, and aims to find out the types of concepts with which ANGER, HAPPINESS, and SADNESS are associated, and thus, to what extent these associations comprise primary (universal) and complex (cultural) metaphors, as suggested by the current view of the CMT. I argue that while it is important to distinguish between universal and cultural metaphors, the hierarchical mapping of variation also describes the characteristics of a language vis-a-vis universality or cultural specificity. Furthermore, I claim that the characteristics of metaphorical expressions should also be determined based on analysis of their occurrences in language use. The data suggest a positive correlation between frequency and productivity. Understanding the frequency and productivity of emotion metaphors through analysis of their occurrence in actual language use will allow better understanding and provide a basis for further investigation of native speakers' cognitive styles and cognitive tendencies.
AB - The major goal of this study is to investigate conceptual emotion metaphors of Korean, particularly those of ANGER, HAPPINESS, and SADNESS, by utilizing a corpus-based analysis. The universality of conceptual metaphors continues to be a controversial topic in cognitive linguistics and thus, more cross-linguistic and language-specific studies are needed to support the theoretical framework of the Conceptual Metaphor Theory (CMT). To this end, the current study identifies and examines Korean metaphorical expressions through a conceptual analysis, supported by both quantitative and qualitative methods, and aims to find out the types of concepts with which ANGER, HAPPINESS, and SADNESS are associated, and thus, to what extent these associations comprise primary (universal) and complex (cultural) metaphors, as suggested by the current view of the CMT. I argue that while it is important to distinguish between universal and cultural metaphors, the hierarchical mapping of variation also describes the characteristics of a language vis-a-vis universality or cultural specificity. Furthermore, I claim that the characteristics of metaphorical expressions should also be determined based on analysis of their occurrences in language use. The data suggest a positive correlation between frequency and productivity. Understanding the frequency and productivity of emotion metaphors through analysis of their occurrence in actual language use will allow better understanding and provide a basis for further investigation of native speakers' cognitive styles and cognitive tendencies.
KW - Anger
KW - Conceptual metaphor
KW - Corpus linguistics
KW - Emotion
KW - English
KW - Happiness
KW - Korean
KW - Metaphor
KW - Metonymy
KW - Sadness
KW - Submetaphor
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U2 - 10.1075/rcl.11.1.03tur
DO - 10.1075/rcl.11.1.03tur
M3 - Article
AN - SCOPUS:84879823291
SN - 1877-9751
VL - 11
SP - 73
EP - 144
JO - Annual Review of Cognitive Linguistics
JF - Annual Review of Cognitive Linguistics
IS - 1
ER -