A Corpus-Based Approach to Clause Combining in English from the Systemic Functional Perspective

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This book presents corpus-based research on functional syntax. It is the first book to present a comprehensive investigation into grammatical metaphor in English clause combining in large-size corpora. By providing a systematic illustration of features such as parataxis, hypotaxis and embedding, it fills a gap in the systemic functional literature. It also offers insights into testing grammatical metaphors using a corpus linguistics methodology. The book is a useful resource for anyone interested in writing development.

Presents corpus-based research on functional syntax Presents a comprehensive investigation into grammatical metaphor in English clause combining in large-size corpora Offers insights into testing grammatical metaphors using a corpus linguistics methodology

Autorentext
Qingshun He received his Ph.D. degree in linguistics from Southwest University in 2013, and completed his postdoctoral research at Guangdong University of Foreign Studies in 2015. He is an associate professor and Ph.D. student adviser at School of Foreign Languages, Sun Yat-Sen University. His main research interest is systemic functional linguistics.

Inhalt
Chapter 1 Introduction.- Chapter 2 A Systemic Functional Approach to Clause Combining in English.- Chapter 3 Research Design.- Chapter 4 Genre Distributions of Clause Combining.- Chapter 5 Diachronic Distribution of Clause Combining.- Chapter 6 Grammatical Metaphor in Clause Combining.- Chapter 7 Conclusion.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Titel A Corpus-Based Approach to Clause Combining in English from the Systemic Functional Perspective
    • Veröffentlichung 29.05.2019
    • ISBN 9811373906
    • Format Fester Einband
    • EAN 9789811373909
    • Jahr 2019
    • Größe H241mm x B160mm x T18mm
    • Autor Qingshun He
    • Untertitel The M.A.K. Halliday Library Functional Linguistics Series
    • Gewicht 500g
    • Auflage 1st edition 2019
    • Genre Sprach- und Literaturwissenschaften
    • Lesemotiv Verstehen
    • Anzahl Seiten 220
    • Herausgeber Springer Nature Singapore
    • GTIN 09789811373909

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