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Tobias Bernaisch (ed.), Gender in World Englishes (Studies in English Language). Cambridge: Cambridge University Press, 2021. Pp. xv + 235. ISBN 9781108696739.
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- English Language & Linguistics / Volume 27 / Issue 2 / June 2023
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- 03 April 2023, pp. 389-396
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Appendix 8.5 - A Bayesian Model with Informative Priors Based on the Small Sample
- from 8 - Comparing Bayesian and Frequentist Models of Language Variation
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- Data and Methods in Corpus Linguistics
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- 06 May 2022
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- 26 May 2022, pp 254-254
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Tables
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- Data and Methods in Corpus Linguistics
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- 06 May 2022
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- 26 May 2022, pp xii-xiv
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Introduction: - Comparative Approaches to Data and Methods in Corpus Linguistics
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- Data and Methods in Corpus Linguistics
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- 06 May 2022
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- 26 May 2022, pp 1-14
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Part IV - Applications of Classification-Based Approaches
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- Data and Methods in Corpus Linguistics
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- 06 May 2022
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- 26 May 2022, pp 289-352
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Appendix 8.6 - Different Priors and Sensitivity Analysis
- from 8 - Comparing Bayesian and Frequentist Models of Language Variation
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- Data and Methods in Corpus Linguistics
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- 06 May 2022
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- 26 May 2022, pp 255-256
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Appendix 8.7 - Diagnostics of Markov Chains
- from 8 - Comparing Bayesian and Frequentist Models of Language Variation
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- Data and Methods in Corpus Linguistics
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- 06 May 2022
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- 26 May 2022, pp 257-258
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Appendix 8.4 - An ML Model Based on the Small Sample
- from 8 - Comparing Bayesian and Frequentist Models of Language Variation
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- Data and Methods in Corpus Linguistics
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- 06 May 2022
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- 26 May 2022, pp 252-253
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Contributors
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- Data and Methods in Corpus Linguistics
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- 06 May 2022
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- 26 May 2022, pp xv-xv
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9 - Comparing Methods for the Evaluation of Cluster Structures in Multidimensional Analyses
- from Part III - Perspectives on Multifactorial Methods
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- Data and Methods in Corpus Linguistics
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- 06 May 2022
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- 26 May 2022, pp 259-288
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Acknowledgements
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- Data and Methods in Corpus Linguistics
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- 06 May 2022
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- 26 May 2022, pp xvi-xvi
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Appendix 8.1 - Table of Coefficients for the ML Model Based on the Large Sample, and Some Other Details
- from 8 - Comparing Bayesian and Frequentist Models of Language Variation
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- Data and Methods in Corpus Linguistics
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- 06 May 2022
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- 26 May 2022, pp 250-250
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Figures
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- Data and Methods in Corpus Linguistics
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- 06 May 2022
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- 26 May 2022, pp vii-xi
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Part II - Selection, Calibration and Preparation of Corpus Data
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- Data and Methods in Corpus Linguistics
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- 06 May 2022
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- 26 May 2022, pp 73-160
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Copyright page
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- Data and Methods in Corpus Linguistics
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- 06 May 2022
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- 26 May 2022, pp iv-iv
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Contents
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- Data and Methods in Corpus Linguistics
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- 06 May 2022
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- 26 May 2022, pp v-vi
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Part I - Corpus Dimensions and the Viability of Methodological Approaches
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- Data and Methods in Corpus Linguistics
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- 06 May 2022
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- 26 May 2022, pp 15-72
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Index
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- Data and Methods in Corpus Linguistics
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- 06 May 2022
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- 26 May 2022, pp 353-358
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Appendix 8.2 - Table of Coefficients for the ML Model Based on the Large Sample, without the Helper (Parsimonious Model), and Some Other Details
- from 8 - Comparing Bayesian and Frequentist Models of Language Variation
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- Data and Methods in Corpus Linguistics
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- 06 May 2022
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- 26 May 2022, pp 251-251
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Part III - Perspectives on Multifactorial Methods
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- Data and Methods in Corpus Linguistics
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- 06 May 2022
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- 26 May 2022, pp 161-288
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