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A Method for Linguistic Metaphor Identification: From MIP to MIPVU (Converging Evidence in Language and Communication Research), by Gerard
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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.
- Sales Rank: #343666 in Books
- Published on: 2010-06-23
- Original language: English
- Dimensions: 9.25" h x 6.25" w x .75" l, 1.05 pounds
- Binding: Paperback
- 250 pages
Most helpful customer reviews
0 of 0 people found the following review helpful.
bad referencing
By Stephen Graham
looks really good so far but you pay $135 and unless I am missing some different kind of citation system, in the first three paragraphs of chapter 1 there are 11 studies cited which are not included in the references section at the back of the book. How disappointing is that for an academic publication and to use for further research?! Happy to delete this review if someone can explain that I am missing something.
0 of 0 people found the following review helpful.
Excellent book for researchers
By Tucson resident
This is an excellent book for researchers in this area who have a background in linguistic metaphor analysis and want o learn how to apply a method to a large corpus for finding metaphors.
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