Digital Research Methods for Translation Studies
eBook - ePub

Digital Research Methods for Translation Studies

Julie McDonough Dolmaya

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Digital Research Methods for Translation Studies

Julie McDonough Dolmaya

Book details
Table of contents
Citations

About This Book

Digital Research Methods for Translation Studies introduces digital humanities methods and tools to translation studies.

This accessible book covers computer-assisted approaches to data collection, data analysis, and data visualization and presentation, offering authentic examples of these approaches in both translation studies research and projects from related fields. With a diverse range of examples featuring various contexts and language combinations to ensure relevance to a wide readership, this volume covers the strengths and limitations of computer-assisted research methods, as well as the ethical challenges specific to this kind of research.

This is an essential text for advanced undergraduate and graduate translation studies students, as well as researchers looking to adopt new research methods.

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Yes, you can access Digital Research Methods for Translation Studies by Julie McDonough Dolmaya in PDF and/or ePUB format, as well as other popular books in Languages & Linguistics & Translating & Interpreting. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Routledge
Year
2023
ISBN
9781003822035
Edition
1
Topic
Languages & Linguistics
Subtopic
Translating & Interpreting
Index
Languages & Linguistics

Table of contents

  1. Cover
  2. Half-Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. Foreword
  8. Acknowledgements
  9. Introduction
  10. 1 Methods, Data, and Tools
  11. 2 Managing Research Projects and Organizing Research Data
  12. 3 Open Data and Freedom of Information
  13. 4 Collecting Data from and through the Internet
  14. 5 Data Preparation
  15. 6 Analyzing Textual Data
  16. 7 Analyzing Multimodal and Non-text Data
  17. 8 Analyzing Structured Datasets
  18. 9 Quantitative Visualizations
  19. 10 Qualitative Data Visualization
  20. 11 Geographic Visualizations
  21. 12 Network Visualizations
  22. 13 Web Presentations and Open Data Repositories
  23. Conclusion
  24. Index