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English General Nouns
A corpus theoretical approach
Language:
English
Published/Copyright:
2005
About this book
This book proposes an innovative approach to general nouns. General nouns are defined as high-frequency nouns that are characterised by their textual functions. Although the concept is motivated by Halliday & Hasan (1976), the corpus theoretical approach adopted in the present study is fundamentally different and set in a linguistic framework that prioritises lexis. The study investigates 20 nouns that are very frequent in mainstream English, as represented by the Bank of English Corpus. The corpus-driven approach to the data involves a critical discussion of descriptive tools, such as patterns, semantic prosodies, and primings of lexical items, and the concept of 'local textual functions' is put forward to characterise the functions of the nouns in texts. The study not only suggests a characterisation of general nouns, but also stresses that functions of lexical items and properties of texts are closely linked. This link requires new ways of describing language.
Reviews
Joybrato Mukherjee, Justus Liebig University, Giessen in International Journal of Corpus Linguistics Vol. 12:1, (2007):
EGN is a must for anyone who is interested in how general nouns in English are used and/or in linguistic theorising in the light of corpus data. At the descriptive level, Mahlberg has produced an extremely useful book on three particularly important sub-groups of general nouns, i.e. ‘time nouns’, ‘people nouns’ and ‘world nouns’, and she shows by way of exemplification how the corpus-driven approach can be applied to the quantitative and qualitative analysis of corpus data. At the theoretical and methodological level, EGN is both a reflection of and a contribution to general and fundamental points of discussion in corpus-linguistic research, including the status of frequency in corpus research, the understanding of text and context in corpus linguistics, the role of corpus findings in analyses of word classes as prototypical categories and the shared interest of corpus linguistics and cognitive linguistics. I hope to have shown that with regard to these four general issues, English general nouns are a very relevant and useful research area. Mahlberg’s book thus comes as a timely and welcome study and it is a good and valuable read.
EGN is a must for anyone who is interested in how general nouns in English are used and/or in linguistic theorising in the light of corpus data. At the descriptive level, Mahlberg has produced an extremely useful book on three particularly important sub-groups of general nouns, i.e. ‘time nouns’, ‘people nouns’ and ‘world nouns’, and she shows by way of exemplification how the corpus-driven approach can be applied to the quantitative and qualitative analysis of corpus data. At the theoretical and methodological level, EGN is both a reflection of and a contribution to general and fundamental points of discussion in corpus-linguistic research, including the status of frequency in corpus research, the understanding of text and context in corpus linguistics, the role of corpus findings in analyses of word classes as prototypical categories and the shared interest of corpus linguistics and cognitive linguistics. I hope to have shown that with regard to these four general issues, English general nouns are a very relevant and useful research area. Mahlberg’s book thus comes as a timely and welcome study and it is a good and valuable read.
Topics
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Prelim pages
i -
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Table of contents
v -
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Acknowledgements
ix -
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Introduction
1 -
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1. The attention they have been getting
5 -
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2. The corpus linguistic point of view
13 -
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3. Minimal assumptions in practice
41 -
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4. Time nouns
63 -
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5. People Nouns
99 -
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6. World nouns
141 -
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7. Re-examining the minimal assumptions
161 -
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8. Developing the corpus linguistic theory
179 -
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Appendix 1: Pattern codes
195 -
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Appendix 2: `Longer examples in Chapter 5'
196 -
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References
197 -
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Index
205
Publishing information
Pages and Images/Illustrations in book
eBook published on:
July 1, 2008
eBook ISBN:
9789027293947
Pages and Images/Illustrations in book
Main content:
206
This book is in the series
eBook ISBN:
9789027293947
Audience(s) for this book
Professional and scholarly;