Data Structure in Cognitive Metaphor Research

This volume focuses on methodological problems of data handling in cognitive metaphor research. The papers argue for the combination of different methods of gathering and evaluating data. They also point out that converging evidence cannot be obtained without constraining the combinability of data stemming from different sources.

This collection of papers focuses on cognitive metaphor research (CMR) from the perspective of the current debate on linguistic data and evidence. The peculiarity of the book is that it reveals the causes that trigger the methodological problems of data handling in CMR. These problems include the identifiability of metaphors in discourse and the reliability of the methods of gathering metaphors such as linguistic intuition, discourse analysis, corpus analysis, and psycholinguistic experiments. In order to overcome their weaknesses and to enhance their reliance, the papers argue, on the one hand, for the combination of different methods of gathering and evaluating data in CMR. On the other hand, the papers also point out that converging evidence cannot be obtained without constraining the combinability of data stemming from different sources.

Autorentext

Péter Csatár holds degrees in Philosophy and German Linguistics and Literature. He is lecturer at the Department of German Linguistics at the University of Debrecen (Hungary). His main interests are linguistic theories of metaphor and pragmatics.

Inhalt
Contents: Cognitive metaphor research Methodological problems of data handling Metaphor intuition Psychological experiments Corpus linguistic methods Converging evidence Conceptual metaphor Relevance theory Hybrid theories in metaphor research.