Anatol Stefanowitsch & Stefan Th. Gries 
Corpus-Based Approaches to Metaphor and Metonymy [PDF ebook] 

Ủng hộ

The papers in this volume deal with the issue of how corpus data relate to the questions that cognitive linguists have typically investigated with respect to conceptual mappings. The authors in this volume investigate a wide range of issues – the coherence and function of particular metaphorical models, the interaction of form and meaning, the identification of source domains of metaphorical expressions, the relationship between metaphor and discourse, the priming of metaphors, and the historical development of metaphors.

The studies deal with a variety of metaphorical and metonymic source and target domains, including the source domains SPACE, ANIMALS, BODY PARTS, ORGANIZATIONS and WAR, and the target domains VERBAL ACTIVITY, ECONOMY, EMOTIONS and POLITICS. In their studies, the authors present a variety of corpus-linguistic methods for the investigation of conceptual mappings, for example, corpora annotated for semantic categories, concordances of individual source-domain items and patterns, and concordances of target-domain items.

In sum, the papers in this volume show how a wide range of corpus-linguistic methods can be used to investigate a variety of issues in cognitive linguistics; the combination of corpus methods with a cognitive-linguistic view of metaphor and metonymy yields new answers to old questions (and to new questions) about the relationship between language as a conceptual phenomenon and language as a textual phenomenon.

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Giới thiệu về tác giả

Anatol Stefanowitsch, University of Bremen Bremen, Germany; Stefan Th. Gries, University of California, Santa Barbara, USA.

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Ngôn ngữ Anh ● định dạng PDF ● Trang 325 ● ISBN 9783110199895 ● Kích thước tập tin 1.1 MB ● Biên tập viên Anatol Stefanowitsch & Stefan Th. Gries ● Nhà xuất bản De Gruyter ● Thành phố Basel/Berlin/Boston ● Được phát hành 2008 ● Phiên bản 1 ● Có thể tải xuống 24 tháng ● Tiền tệ EUR ● TÔI 2153845 ● Sao chép bảo vệ Adobe DRM
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