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Shakir, Muhammad: A corpus based comparison of variation in online registers of Pakistani English using MD analysis. 2020
Inhalt
Acknowledgements
Summary
Table of Contents
List of Tables
List of Figures
Abbreviations
Chapter 1 Introduction
1.1 Background
1.2 Method, Research Questions, and Scope
1.3 Overview of the Thesis
Chapter 2 Theoretical and Research Background
2.1 Theoretical Underpinnings: The Paradigm of World Englishes
2.1.1 Introduction
2.1.2 Models of World Englishes
2.1.2.1 Kachru’s three concentric circles model.
2.1.2.2 Going beyond geographical and historical boundaries.
2.1.2.3 Globalisation and varieties of English.
2.1.2.4 Internet communication and post-varieties approach.
2.1.2.5 Explaining the evolution of Englishes.
2.1.3 Section summary and research implications
2.2 Pakistani English
2.2.1 Historical domains and usage of English
2.2.2 English in language and education policy
2.2.3 English in media
2.2.4 Previous research on Pakistani English
2.2.5 Section summary and identification of research gap
2.3 Methodological Framework: Register Variation and MD Analysis
2.3.1 Defining register
2.3.1.1 Language and variation.
2.3.1.2 History of the term ‘register’.
2.3.1.3 Narrow and wide view of register.
2.3.1.4 Register, genre, style, and text types.
2.3.2 Study of register in various research designs
2.3.2.1 Three research designs.
2.3.2.2 Study of register in variationist linguistics.
2.3.2.3 Study of register in text linguistics.
2.3.3 MD analysis
2.3.3.1 MD analysis versus previous work on register.
2.3.3.2 Steps involved in a MD analysis.
2.3.3.3 MD analysis and other dimensionality reduction techniques.
2.3.3.4 Using MD analysis to study World Englishes.
2.3.4 Section summary
2.4 Research Background: Previous relevant Studies
2.4.1 Blogs
2.4.1.1 The word ‘blog’.
2.4.1.2 Blogs versus other (web) registers.
2.4.1.3 Types of blogs.
2.4.1.4 MD studies on blogs.
2.4.1.5 Other studies on blogs.
2.4.2 Opinion columns and news reports
2.4.3 Interactive online registers
2.4.3.1 Computer-mediated communication versus spoken conversations.
2.4.3.2 Microblogging: Facebook and Twitter.
2.4.3.3 MD studies on Facebook and Twitter posts.
2.4.3.4 MD studies on discussion forums and comments.
2.4.3.5 Other studies on interactive online registers.
2.4.4 Spoken conversations
2.4.5 Section summary
2.5 Summary and Conclusion
Chapter 3 Data Collection
3.1 Issues before Data Collection
3.1.1 Selection of register categories
3.1.2 Selection of a native variety of English for regional comparison
3.1.3 Use of existing corpora in data collection
3.1.4 Time period
3.2 Corpus Compilation
3.2.1 Identification of sources for online registers
3.2.2 Data downloading
3.2.3 Text and text length
3.2.4 Sampling techniques
3.2.5 Text sampling I
3.2.6 Editing and review
3.2.7 Text sampling II
3.3 Selection of Features
3.4 Summary and Outlook
Chapter 4 Situational Characteristics of Online and Offline Registers
4.1 Defining a Framework for Situational Analysis
4.2 Online versus Offline Registers
4.3 Situational Description of Online and Offline Registers
4.3.1 Individual blogs
4.3.2 News blogs
4.3.3 New media blogs
4.3.4 Technology blogs
4.3.5 Opinion columns and news reports
4.3.6 Comments
4.3.7 Facebook groups
4.3.8 Facebook status updates
4.3.9 Tweets
4.3.10 Spoken conversations
4.4 Summary and Conclusion
Chapter 5 Data Analysis
5.1 Multidimensional Analysis
5.1.1 Two types of MD studies and motivation for a new MD analysis
5.1.2 New MD analysis: data screening and selection of linguistic features
5.1.3 New MD analysis: performing EFA
5.1.4 Calculation of dimension scores
5.1.5 From factors to dimensions: interpreting the factors
5.1.5.1 Dimension 1 Oral versus Literate Discourse.
5.1.5.2 Dimension 2 Conversational Style.
5.1.5.3 Dimension 3 Abstract Evaluative versus Non-Abstract Information.
5.1.5.4 Dimension 4 Reporting Style.
5.1.5.5 Dimension 5 Narrative Focus
5.1.6 Comparing online and offline registers: blogs versus columns and news
5.1.6.1 Blogs versus columns and news on dimension 1.
5.1.6.2 Blogs versus columns and news on dimension 2.
5.1.6.3 Blogs versus columns and news on dimension 3.
5.1.6.4 Blogs versus columns and news on dimension 4.
5.1.6.5 Blogs versus columns and news on dimension 5.
5.1.6.6 Blogs versus columns and news: section summary.
5.1.7 Comparing online and offline registers: online interactive registers versus spoken conversations
5.1.7.1 Interactive registers on dimension 1.
5.1.7.2 Interactive registers on dimension 2.
5.1.7.3 Interactive registers on dimension 3.
5.1.7.4 Interactive register on dimension 4.
5.1.7.5 Interactive registers on dimension 5.
5.1.7.6 Interactive registers: section summary.
5.1.8 Gender differences in online registers
5.1.8.1 Gender differences in online registers on dimension 1 Oral versus Literate Discourse.
5.1.8.2 Gender differences in online registers on dimension 3 Abstract Evaluative versus Non-Abstract Information.
5.1.8.3 Gender differences: section summary.
5.1.9 Case study: chronological differences in technology blogs
5.1.9.1 Chronological differences in technology blogs on dimension 1 Oral versus Literate Discourse.
5.1.9.2 Chronological differences in technology blogs on dimension 4 Reporting Style.
5.1.9.3 Chronological differences in technology blogs: section summary.
5.1.10 A summary of findings of MD analysis
5.2 Finding Text Types using Cluster Analysis
5.2.1 The rationale behind text types
5.2.2 Prerequisites of CA: clustering method, cluster-ability, and number of clusters
5.2.3 Results and limitations of CA
5.2.4 Interpretation of cluster results: Text Types
5.2.5 Distribution of text types across online registers
5.2.6 Text Types: summary
5.3 Regional Variation Using Canonical Discriminant Analysis
5.3.1 Canonical discriminant analysis
5.3.2 Prerequisites and performing CDA
5.3.3 CDA results and interpretation
5.3.4 Distribution of online and offline registers on discriminant 1 of CDA
5.3.5 Summary of CDA
5.4 Conclusion and Summary of Findings
Chapter 6 Functions of Code Switching in Online Registers of Pakistani English
6.1 Background
6.1.1 Types of code switching
6.1.2 Conversational code switching
6.1.3 Functions of conversational code switching
6.1.4 Functions of code switching in online registers
6.1.5 Developing a taxonomy for the present analysis
6.2 Data Collection and Coding
6.3 Analysis of Code Switching with Examples
6.3.1 Tags
6.3.2 Lexical
6.3.3 Quotation
6.3.4 Free
6.3.5 Emphatic
6.3.6 Addressee Specification
6.3.7 Message Qualification
6.4 Discussion and Conclusion
Chapter 7 Discussion and Conclusion
7.1 Introduction
7.2 Synthesising and Linking Results
7.2.1 Synthesising results: individual registers
7.2.1.1 Individual blogs.
7.2.1.2 News blogs.
7.2.1.3 New media blogs.
7.2.1.4 Technology blogs.
7.2.1.5 Comments.
7.2.1.6 Facebook groups.
7.2.1.7 Facebook status updates.
7.2.1.8 Tweets.
7.2.2 Synthesising results: the variety
7.3 Connecting with World Englishes Theory and Scholarship
7.3.1 Models of World Englishes and present findings
7.3.2 Localised interactions in a global space
7.3.3 The case for communicative situation and MD framework
7.3.4 The nature of digital Englishes
7.4 Advantages of the Study
7.5 Limitations of the Study
7.6 Recommendations for Future Research
References
Appendix I Additional Figures
Appendix II Linguistic Features
Appendix III Spelling Corrections
Appendix IV Sources
Appendix V Curriculum Vitae - Muhammad Shakir