Mapping English Metaphor Through Time
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Mapping English Metaphor Through Time

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ISBN-13:
9780191062025
Veröffentl:
2016
Einband:
PDF
Seiten:
352
Autor:
Wendy Anderson
eBook Typ:
PDF
eBook Format:
PDF
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:

This volume offers an empirical and diachronic investigation of the foundations and nature of metaphor in English. Metaphor is one of the hot topics in present-day linguistics, with a huge range of research focusing on the systematic connections between different concepts such as heat and anger (fuming, inflamed), sight and understanding (clear, see), or bodies and landscape (hill-foot, river-mouth). Until recently, the lack of a comprehensive data source made itdifficult to obtain an overview of this phenomenon in any language, but this changed with the completion in 2009 of The Historical Thesaurus of English, the only historical thesaurus ever produced for any language. Chapters in this volume use this unique resource as a basis for case studies of semanticdomains including Animals, Colour, Death, Fear, Food, Reading, and Theft, providing a significant step forward in the data-driven understanding of metaphor.
This volume offers an empirical and diachronic investigation of the foundations and nature of metaphor in English. Metaphor is one of the hot topics in present-day linguistics, with a huge range of research focusing on the systematic connections between different concepts such as heat and anger (fuming, inflamed), sight and understanding (clear, see), or bodies and landscape (hill-foot, river-mouth). Until recently, the lack of a comprehensive data source made itdifficult to obtain an overview of this phenomenon in any language, but this changed with the completion in 2009 of The Historical Thesaurus of English, the only historical thesaurus ever produced for any language. Chapters in this volume use this unique resource as a basis for case studies of semanticdomains including Animals, Colour, Death, Fear, Food, Reading, and Theft, providing a significant step forward in the data-driven understanding of metaphor.

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