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A Method for Linguistic Metaphor Identification
From MIP to MIPVU
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Gerard J. Steen
, Aletta G. Dorst , J. Berenike Herrmann , Anna A. Kaal , Tina Krennmayr and Tryntje Pasma
Language:
English
Published/Copyright:
2010
About this book
This book presents a complete method for the identification of metaphor in language at the level of word use. It is based on extensive methodological and empirical corpus-linguistic research in two languages, English and Dutch. The method is formulated as an explicit manual of instructions covering one chapter, the method being a development and refinement of the popular MIP procedure presented by the Pragglejaz Group in 2007. The extended version is called MIPVU, as it was developed at VU University Amsterdam. Its application is demonstrated in five case studies addressing metaphor in English news texts, conversations, fiction, and academic texts, and Dutch news texts and conversations. Two methodological chapters follow reporting a series of successful reliability tests and a series of post hoc troubleshooting exercises. The final chapter presents a first empirical analysis of the findings, and shows what this type of methodological attention can mean for research and theory.
Topics
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Prelim pages
i -
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Table of contents
v -
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Preface
ix -
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Acknowledgements
xi -
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Chapter 1. Linguistic metaphor identification in usage
1 -
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Chapter 2. MIPVU
25 -
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Chapter 3. Metaphor identification in news texts
43 -
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Chapter 4. Metaphor identification in conversation
61 -
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Chapter 5. Metaphor identification in fiction
87 -
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Chapter 6. Metaphor identification in academic discourse
107 -
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Chapter 7. Metaphor identification in Dutch news and conversations
127 -
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Chapter 8. Reliability tests
149 -
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Chapter 9. From method to research
167 -
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Chapter 10. Metaphor in English discourse
183 -
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Chapter 11. The quality of evidence
219 -
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Appendix. Overview of annotated files from BNC-Baby
223 -
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References
227 -
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Index
235
Publishing information
Pages and Images/Illustrations in book
eBook published on:
June 7, 2010
eBook ISBN:
9789027288158
Pages and Images/Illustrations in book
Main content:
238
eBook ISBN:
9789027288158
Audience(s) for this book
Professional and scholarly;