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
- 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
