A deep semantic corpus-based approach to metaphor analysis

Abstract

This paper demonstrates the fruitful application of the formalization of Conceptual Metaphor Theory, combined with metaphor constructions and computational tools to a large-scale, corpus-based approach to the study of metaphor expressions. As the case study of poverty metaphor expressions illustrates, the representation of individual metaphors and frames as parts of larger conceptual networks facilitates analyses that capture both local details and larger patterns of metaphor use. Significantly, the data suggest that the two most frequently used source domain networks in poverty metaphor expressions each support different types of inferences about poverty, its effects, and possible ways to reduce or end it.