Textual Patterns

Key words and corpus analysis in language education

Mike Scott | University of Liverpool
Christopher Tribble | King's College, London University
ISBN 9789027222930 | EUR 95.00 | USD 143.00
ISBN 9789027222947 | EUR 33.00 | USD 49.95
ISBN 9789027293633 | EUR 95.00/33.00*
| USD 143.00/49.95*
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Textual Patterns introduces corpus resources, tools and analytic frameworks of central relevance to language teachers and teacher educators. Specifically it shows how key word analysis, combined with the systematic study of vocabulary and genre, can form the basis for a corpus informed approach to language teaching. The first part of the book gives the reader a strong grounding in the way in which language teachers can use corpus analysis tools (wordlists, concordances, key words) to describe language patterns in general and text patterns in particular. The second section presents a series of case studies which show how a key word / corpus informed approach to language education can work in practice. The case studies include: General language education (i.e. students in national education systems and those following international examination programmes), foreign languages for academic purposes, literature in language education, business and professional communication, and cultural studies in language education.
[Studies in Corpus Linguistics, 22] 2006.  x, 203 pp.
Publishing status: Available
Table of Contents
“The book provides a wealth of ideas for using the study of words and word-based patterns to help us to analyse and teach texts.”
Subtitling Norms for Television is a comprehensive and carefully researched academic study that will soon occupy the bookshelves of translation studies scholars, researchers in AVT and AVT practitioners alike. It takes the time to introduce and contextualise subtitling within AVT, but then moves on into the very specialized area of subtitling norms and extralinguistic cultural references (ECR’s), by the way of descriptive translation studies, drawing on a vast corpus of original material and a sound theoretical framework. Indeed, the book places subtitling, and AVT more generally, squarely within descriptive translation studies, demonstrating the relevance of its concepts and methodology for AVT, but also the relevance of technology-driven AVT for Translation Studies. In addition, Jan Pedersen’s meticulous analysis of subtitling strategies and the parameters that influence them is prime teaching material, and of great interest to practitioners in search of translation solutions. Finally, and equally importantly, the book raises new questions and is written in an engaging and accessible style that I truly hope will inspire many.”
“This is an interesting book which gives the reader the necessary theoretical and methodological background on corpus and Key Words (KW) analysis, as well as illustrating the potential of these research methods in pedagogical settings in a practical way through a number of case studies. It gives a nuanced account, pointing out advantages as well as complexities, and limitations of the types of analysis it deals with. It also makes a strong case for combining quantitative corpus analysis (for example making KW lists) with qualitative analysis (e.g. analyzing concordances for certain KWs) in a balanced way. As a language teacher I found the book inspiring, and it will be interesting to see further applications of this type of research in the area of language teaching in the future.”
“The keyword is a powerful tool for assessing and understanding texts; this book gives a clear and detailed description of its possibilities, mainly through a series of convincing applications to a wide range of texts. Language learners and teachers should find full practical support here for their own investigations, provided by two pioneers of the harnessing of computer corpora to language learning.”
“This book is a delight to read. It is not only an exceptionally clear and cogent account of the procedures of corpus analysis in general, but a convincing demonstration of how revealing these procedures can be when applied to particular texts, literary and non-literary, by focusing attention on features of potential significance for interpretation. Anybody working with texts should make it a priority to read this one.”
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2024. Body discourse on DE&I in the fashion industry analyzed through The New York Times. The Research Journal of the Costume Culture 32:2  pp. 164 ff. DOI logo
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2020. A corpus-based exploration of constructions in written academic English as a lingua franca. In Advances in Corpus-based Research on Academic Writing [Studies in Corpus Linguistics, 95],  pp. 60 ff. DOI logo
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2023. From “them” to “us”?. Journal of Language and Politics DOI logo
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2023. Representations of ‘leftover women’ in the Chinese English-medium newspapers. Pragmatics and Society 14:5  pp. 695 ff. DOI logo
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2023. Representing the ‘Little Fresh Meat’ Phenomenon in the Chinese English-Medium News Media: A Corpus-Assisted Critical Discourse Analysis. Journal of Asian and African Studies DOI logo
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2023. Classroom concordancing and English academic lecture comprehension: an implication of data-driven learning. Computer Assisted Language Learning 36:5-6  pp. 885 ff. DOI logo
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2023.  Audience reception of translated classic films: Zhang Yimou’s Hero in the digital English world . Asia Pacific Translation and Intercultural Studies 10:3  pp. 259 ff. DOI logo
Zhang, Rongji, Yumin Chen & Xiang Zhao
2024. “I’m a female-PhD and I’m married”: resisting gender stereotypes of female PhDs on Zhihu. Journal of Gender Studies 33:4  pp. 404 ff. DOI logo
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2013. New trends in corpora and language learning, by A. Frankenberg-Garcia, L. Flowerdew, and G. Aston. Pedagogies: An International Journal 8:3  pp. 291 ff. DOI logo
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This list is based on CrossRef data as of 17 june 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.


Main BIC Subject

CF: Linguistics

Main BISAC Subject

LAN009000: LANGUAGE ARTS & DISCIPLINES / Linguistics / General
ONIX Metadata
ONIX 2.1
ONIX 3.0
U.S. Library of Congress Control Number:  2006040658 | Marc record