Book contents
- Applications of Corpus Linguistics
- The Cambridge Applied Linguistics Series
- Applications of Corpus Linguistics
- Copyright page
- Contents
- Figures
- Tables
- Editors and Contributors
- 1 Applying Corpus Linguistics
- 2 ‘Cutting Out the Middleman’
- 3 Investigating User Perceptions of a Corpus-Informed DDL Resource
- 4 Applying a Corpus-Based DDL Intervention in the Private English Language Sector in Ireland
- 5 Using Corpus Linguistics in Formulaic Language Learning
- 6 Applying Corpus Research Indirectly to Language Teaching Materials and Assessment Development
- 7 Informing Teaching Practice through Corpus Research
- 8 Building a Longitudinal Learner Corpus for Swiss German Sign Language
- 9 Using CADS Research to Critique Representations of Muslims in the UK Press
- 10 Examining the Uptake of Media Guidelines
- 11 Challenging Online Misogyny
- 12 Using Corpus-Assisted Approaches to Explore UK Police Crisis Negotiation
- 13 Afterword
- Index
- References
13 - Afterword
From Applications to Impact
Published online by Cambridge University Press: 26 December 2025
Book contents
- Applications of Corpus Linguistics
- The Cambridge Applied Linguistics Series
- Applications of Corpus Linguistics
- Copyright page
- Contents
- Figures
- Tables
- Editors and Contributors
- 1 Applying Corpus Linguistics
- 2 ‘Cutting Out the Middleman’
- 3 Investigating User Perceptions of a Corpus-Informed DDL Resource
- 4 Applying a Corpus-Based DDL Intervention in the Private English Language Sector in Ireland
- 5 Using Corpus Linguistics in Formulaic Language Learning
- 6 Applying Corpus Research Indirectly to Language Teaching Materials and Assessment Development
- 7 Informing Teaching Practice through Corpus Research
- 8 Building a Longitudinal Learner Corpus for Swiss German Sign Language
- 9 Using CADS Research to Critique Representations of Muslims in the UK Press
- 10 Examining the Uptake of Media Guidelines
- 11 Challenging Online Misogyny
- 12 Using Corpus-Assisted Approaches to Explore UK Police Crisis Negotiation
- 13 Afterword
- Index
- References
Summary
This Afterword discusses the chapters presented in the volume. It argues that by aligning corpus linguistics research with societal needs and ethical considerations, experts in the field can make significant contributions to addressing global challenges, shaping future research priorities. The Afterword underscores the practical applications of corpus research methods, demonstrating how corpus linguists’ work can effectively tackle social issues of interest outside the academic sphere. The afterword looks at how shaping policy decisions and fostering a culture of knowledge exchange and collaboration both within academia and beyond can enhance the visibility and applicability of the field.
Information
- Type
- Chapter
- Information
- Applications of Corpus LinguisticsEstablished and Emergent Contexts, pp. 276 - 283Publisher: Cambridge University PressPrint publication year: 2026
References
Boulton, A. & Cobb, T. (2017). Corpus use in language learning: A meta‐analysis. Language Learning, 67(2), 348–393.CrossRefGoogle Scholar
Curry, N., Baker, P., & Brookes, G. (2024). Generative AI for corpus approaches to discourse studies: A critical evaluation of ChatGPT. Applied Corpus Linguistics, 4(1). https://doi.org/10.1016/j.acorp.2023.100082.CrossRefGoogle Scholar
Curry, N., & Mark, G. (2024). Using corpus linguistics in materials development and teacher education. Second Language Teacher Education, 2(2), 187–208. https://doi.org/10.1558/slte.25727.CrossRefGoogle Scholar
Eaton, S. E. (2023) Postplagiarism: Transdisciplinary ethics and integrity in the age of artificial intelligence and neurotechnology. International Journal for Educational Integrity, 19(23). https://doi.org/10.1007/s40979-023-00144-1.CrossRefGoogle Scholar
Grieve, J. & Woodfield, H. (2023). The Language of Fake News. Cambridge University Press.CrossRefGoogle Scholar
McEnery, T. & Brezina, V. (2022). Fundamental Principles of Corpus Linguistics. Cambridge University Press.CrossRefGoogle Scholar
McEnery, T. & Brookes, G. (2024). Corpus linguistics and the social sciences. Corpus Linguistics and Linguistic Theory, 20(3). https://doi.org/10.1515/cllt-2024-0036.CrossRefGoogle Scholar
Pérez-Paredes, P. & Curry, N. (2024). Epistemologies of corpus linguistics across disciplines. Research Methods in Applied Linguistics, 3(3), 100141.CrossRefGoogle Scholar
Teubert, W. (2005). My version of corpus linguistics. International Journal of Corpus Linguistics, 10(1), 1–13.CrossRefGoogle Scholar
Viana, V., Zyngier, S., & Barnbrook, G. (eds.) (2011). Perspectives on Corpus Linguistics. John Benjamins.CrossRefGoogle Scholar
Accessibility standard: WCAG 2.1 AA
Why this information is here
This section outlines the accessibility features of this content - including support for screen readers, full keyboard navigation and high-contrast display options. This may not be relevant for you.Accessibility Information
The HTML of this chapter
complies with version 2.1 of the
Web Content Accessibility Guidelines
(WCAG), covering newer accessibility requirements and improved
user experiences and achieves the intermediate
(AA)
level of WCAG compliance, covering a wider range of accessibility requirements.
Content Navigation
Table of contents navigation
Allows you to navigate directly to chapters, sections, or non‐text items through a linked table of contents, reducing the need for extensive scrolling.
Allows you to navigate directly to chapters, sections, or non‐text items through a linked table of contents, reducing the need for extensive scrolling.
Index navigation
Provides an interactive index, letting you go straight to where a term or subject appears in the text without manual searching.
Provides an interactive index, letting you go straight to where a term or subject appears in the text without manual searching.
Reading Order & Textual Equivalents
Single logical reading order
You will encounter all content (including footnotes, captions, etc.) in a clear, sequential flow, making it easier to follow with assistive tools like screen readers.
You will encounter all content (including footnotes, captions, etc.) in a clear, sequential flow, making it easier to follow with assistive tools like screen readers.
Short alternative textual descriptions
You get concise descriptions (for images, charts, or media clips), ensuring you do not miss crucial information when visual or audio elements are not accessible.
You get concise descriptions (for images, charts, or media clips), ensuring you do not miss crucial information when visual or audio elements are not accessible.
Full alternative textual descriptions
You get more than just short alt text: you have comprehensive text equivalents, transcripts, captions, or audio descriptions for substantial non‐text content, which is especially helpful for complex visuals or multimedia.
You get more than just short alt text: you have comprehensive text equivalents, transcripts, captions, or audio descriptions for substantial non‐text content, which is especially helpful for complex visuals or multimedia.
Visual Accessibility
Use of colour is not sole means of conveying information
You will still understand key ideas or prompts without relying solely on colour, which is especially helpful if you have colour vision deficiencies.
You will still understand key ideas or prompts without relying solely on colour, which is especially helpful if you have colour vision deficiencies.
Structural and Technical Features
ARIA roles provided
You gain clarity from ARIA (Accessible Rich Internet Applications) roles and attributes, as they help assistive technologies interpret how each part of the content functions.
You gain clarity from ARIA (Accessible Rich Internet Applications) roles and attributes, as they help assistive technologies interpret how each part of the content functions.