A Corpus Linguistic Approach to Literary Language and Characterization: Virginia Woolf's <i>  The Waves</i>   (Linguistic Approaches to Literature 18)

A Corpus Linguistic Approach to Literary Language and Characterization: Virginia Woolf's The Waves (Linguistic Approaches to Literature 18)

By: Giuseppina Balossi (author)Hardback

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This book focusses on computer methodologies as a way of investigating language and character in literary texts. Both theoretical and practical, it surveys investigations into characterization in literary linguistics and personality in social psychology, before carrying out a computational analysis of Virginia Woolf's experimental novel The Waves. Frequencies of grammatical and semantic categories in the language of the six speaking characters are analyzed using Wmatrix software developed by UCREL at Lancaster University. The quantitative analysis is supplemented by a qualitative analysis into recurring patterns of metaphor. The author concludes that these analyses successfully differentiate all six characters, both synchronically and diachronically, and claims that this methodology is also applicable to the study of personality in non-literary language. The book, written in a clear and accessible style, will be of interest to post-graduate students and academics in linguistics, stylistics, literary studies, psychology and also computational approaches.


1. Acknowledgements; 2. Foreword; 3. List of conventions; 4. List of figures and tables; 5. List of appendixes; 6. List of concordances; 7. 1. Introduction; 8. 2. Virginia Woolf's The Waves; 9. 3. Literature review; 10. 4. Corpus approaches to the study of language and literature; 11. 5. Methodology; 12. 6. Character differentiation through word-classes; 13. 7. Character differentiation: Semantic fields; 14. 8. Conclusion; 15. References; 16. Websites; 17. Appendixes; 18. Author index; 19. Subject index

Product Details

  • ISBN13: 9789027234070
  • Format: Hardback
  • Number Of Pages: 277
  • ID: 9789027234070
  • weight: 665
  • ISBN10: 9027234078

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