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Fiction and Pragmatics (Paperback): Miriam A. Locher, Andreas H Jucker, Daniela Landert, Thomas C. Messerli Fiction and Pragmatics (Paperback)
Miriam A. Locher, Andreas H Jucker, Daniela Landert, Thomas C. Messerli
R500 Discovery Miles 5 000 Ships in 9 - 17 working days

This Element outlines current issues in the study of the pragmatics of fiction. It starts from the premise that fictional texts are complex and multi-layered communicative acts which deserve attention in pragmatic research in their own right, and it highlights the need to understand them as cultural artefacts rich in possibilities to explore pragmatic effects and pragmatic theorising. The issues covered are (1) the participation structure of fictional texts, (2) the performance aspect of fictional texts, (3) the interaction between readers and viewers and the fictional texts, as well as (4) the pragmatic effects of drawing on indexical linguistic features for evoking ideologies in characterisation.

Corpus Pragmatics (Paperback): Daniela Landert, Daria Dayter, Thomas C. Messerli, Miriam A. Locher Corpus Pragmatics (Paperback)
Daniela Landert, Daria Dayter, Thomas C. Messerli, Miriam A. Locher
R589 Discovery Miles 5 890 Ships in 10 - 15 working days

This Element discusses the challenges and opportunities that different types of corpora offer for the study of pragmatic phenomena. The focus lies on a hands-on approach to methods and data that provides orientation for methodological decisions. In addition, the Element identifies areas in which new methodological developments are needed in order to make new types of data accessible for pragmatic research. Linguistic corpora are currently undergoing diversification. While one trend is to move towards increasingly large corpora, another trend is to enhance corpora with more specialised and layered annotation. Both these trends offer new challenges and opportunities for the study of pragmatics. This volume provides a practical overview of state-of-the-art corpus-pragmatic methods in relation to different types of corpus data, covering established methods as well as innovative approaches.

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