This book examines approaches to carrying out discourse analysis (DA) using techniques that are grounded in corpus linguistics. Assuming no prior knowledge of corpora, the book examines and evaluates a variety of corpus-based methodologies including: collocations, keyness, concordances, dispersion p
Using Corpora in Discourse Analysis (Bloomsbury Discourse)
β Scribed by Paul Baker
- Publisher
- Bloomsbury Academic
- Year
- 2023
- Tongue
- English
- Leaves
- 281
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
How can you carry out discourse analysis using corpus linguistics? What research questions should I ask? Which methods should you use and when? What is a collocational network or a key cluster?
Introducing the major techniques, methods and tools for corpus-assisted analysis of discourse, this book answers these questions and more, showing readers how to best use corpora in their analyses of discourse. Using carefully tailored case studies, each chapter is devoted to a central technique, including frequency, concordancing and keywords, going step by step through the process of applying different analytical procedures. Introducing a wide range of different corpora, from holiday brochures to political debates, the book considers the key debates and latest advances in the field.
Fully revised and updated, this new edition includes:
- A new chapter on how to conduct research projects in corpus-based discourse analysis
- Completely rewritten chapters on collocation and advanced techniques, using a corpus of jihadist propaganda texts and covering topics such as social media and visual analysis
- Coverage of major tools, including CQPweb, AntConc, Sketch Engine and #LancsBox
- Discussion of newer techniques including the derivation of lockwords and the comparison of multiple data sets for diachronic analysis
With exercises, discussion questions and suggested further readings in each chapter, this book is an excellent guide to using corpus linguistics techniques to carry out discourse analysis.
β¦ Table of Contents
Cover
Halftitle page
Series page
Title page
Copyright page
Contents
Figures
Tables
Preface
Acknowledgements
1 Introduction
Corpus linguistics
Discourse
The emergence of CADS
Advantages of the CADS approach
Some concerns
Structure of the book
2 The First Stages
Introduction
Choosing a topic
Background reading
Reflecting on the analyst position
Working as part of a team
Forming research questions
Stages of analysis
Choosing a corpus analysis tool
Engaging with others
Conclusion
3 Corpus Building
Introduction
Some types of corpora
Capturing data
Copyright and ethics
Cleaning the corpus
Annotation
Using a reference corpus
Conclusion
4 Frequency, Dispersion and Distribution
Introduction
Join the club
Frequency counts
Considering clusters
Concordance plots
Comparing demographic frequencies
Conclusion
5 Concordances
Introduction
Investigating discourses of refugees
Analysing a randomised sample
Sorting concordances
Semantic preference and discourse prosody
Points of concern
Conclusion
6 Collocates
Introduction
Deriving collocates
Categorising collocates
Collocational networks
Word Sketches
Conclusion
7 Keyness
Frequency revisited
Introducing keyness
Analysis of keywords
Similarities and lockwords
Key clusters
Key categories
Conclusion
8 Going Beyond the Basics
Introduction
Triangulation and analysis of samples
Change over time
Working with different languages
Spoken analysis
Visual analysis
Social media
Metaphor
A final point
9 Conclusion
Introduction
Corpus building
Corpus analysis
The impact of corpus based research
To the future
Notes
Glossary
References
Index
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