Modeling Metalinguistic Discourses and Language Ideologies

by Adnan Ajsic

Overview

This volume offers a comprehensive treatment of corpus linguistic approaches to the study of metalinguistic discourses and language ideologies.

The book traces the historical trajectories of research on language ideology and metalinguistic discourse, respectively, as a foundation for exploring both the opportunities and challenges of classic corpus linguistic approaches as applied to data sets from comparative South Slavic and English case studies. This analysis paves the way for exploring methodological innovations afforded by multivariate approaches, such as factor analysis, cluster analysis, and topic modelling by applying it to the same data sets. The book concludes by reflecting on challenges and lessons learned toward outlining future directions for the further development of research at the intersection of metalinguistic discourses and language ideologies.

This book will be of interest to students and scholars in corpus linguistics, discourse analysis, sociolinguistics, and applied linguistics.

Product Details

ISBN-13:	9781040405642
Publisher:	Taylor & Francis
Publication date:	06/18/2025
Series:	Routledge Focus on Applied Linguistics
Sold by:	Barnes & Noble
Format:	eBook
Pages:	112
File size:	4 MB

About the Author

Adnan Ajšić is Associate Professor of English at the American University of Sharjah, UAE.

Table of Contents

1. Introduction

1.1 What is this volume about and who is it for?
1.2 Why this volume?

2. Metalinguistic discourse, language ideology, and the evolution of methodological approaches
2.1 Definitions
2.2 Qualitative research
2.3 Quantitative and mixed-methods research

3. Classic corpus linguistic tools: Case study #1
3.1 Frequency
3.2 Collocation analysis
3.3 Concordance analysis
3.4 Keyword analysis

4. Multivariate corpus linguistic approaches
4.1 Exploratory factor analysis and cluster analysis: Case study #2
4.2 Topic modeling for triangulation: Case study #3
4.3 Topic modeling for exploration
4.3.1 Thematically heterogeneous corpora: Case study #4
4.3.2 Thematically homogeneous subcorpora (immigration): Case study #5
4.3.2 Thematically homogeneous subcorpora (language): Case study #6

5. Challenges and lessons learned
5.1 Theoretical issues
5.2 Methodological challenges

6. Epilogue

Appendix A
Appendix B
Appendix C
Index