Data Structure in Cognitive Metaphor Research
Nonfiction, Reference & Language, Language Arts, Linguistics, Religion & Spirituality, Philosophy
| Author: | Péter Csatár | ISBN: | 9783653982022 |
| Publisher: | Peter Lang | Publication: | July 8, 2014 |
| Imprint: | Peter Lang GmbH, Internationaler Verlag der Wissenschaften | Language: | English |
| Author: | Péter Csatár |
| ISBN: | 9783653982022 |
| Publisher: | Peter Lang |
| Publication: | July 8, 2014 |
| Imprint: | Peter Lang GmbH, Internationaler Verlag der Wissenschaften |
| Language: | English |
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.
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.
