The DOI matches its Crossref record, with a small difference in title or year.
Academic Writing and Reader Engagement: Contrasting Questions in English, French, and Spanish Corpora
Abstract
Academic Writing and Reader Engagement offers a concise linguistic description of the use and functions of questions in English, French and Spanish and discusses their value to the teaching of academic writing. This book: Enables a better understanding of how writers engage readers in academic writing in English, French, and Spanish and where each language behaves similarly or differently; Explains how authors express opinions, organise discourse and create relationships with readers via questions in their academic writing and the various functions questions perform; Brings together research on corpus and contrastive linguistics, highlighting how these two fields can support one another; Offers a thorough investigation of reader engagement markers from a range of linguistic perspectives and considers how knowledge of these markers could be applied to the teaching and learning of academic writing in each language; Employs corpus data totalling approximately 1.2 million words from all three languages to illustrate the varying roles and representations of questions in each language. Providing an invaluable resource for scholars learning to communicate successfully within their academic community, as well as teachers of English, French and/or Spanish for academic purposes, this book is key reading for students and researchers of academic discourse, contrastive linguistics and corpus linguistics.
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“Ultimately, only 28 of the 47 questions identified by ChatGPT were questions that were also identified in the original analysis by Curry (2021).”
From Generative AI for corpus approaches to discourse studies: A critical evaluation of ChatGPT (2024) · cites this paper as Curry (2021)
In the citing paper
“modifying study parameters to suit anticipated findings could result in cherry-picking (Widdowson 2004) and methodological circularity (Curry, 2021).”
From Generative AI for corpus approaches to discourse studies: A critical evaluation of ChatGPT (2024) · cites this paper as Curry, 2021
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Generative AI for corpus approaches to discourse studies: A critical evaluation of ChatGPT
Curry, N., Baker, P., & Brookes, G. (2024) · Applied Corpus Linguistics · doi:10.1016/j.acorp.2023.100082 · Cited by 102
Self-citationStance nouns in COVID-19 related blog posts
Curry, N., & Pérez-Paredes, P. (2021) · International Journal of Corpus Linguistics · doi:10.1075/ijcl.21080.cur · Cited by 21
Self-citationUsing Corpus Linguistics in Materials Development and Teacher Education
Curry, N., & Mark, G. (2023) · Second Language Teacher Education · doi:10.1558/slte.25727 · Cited by 11
Self-citationCurry, N. (2023) · International Journal of Corpus Linguistics · doi:10.1075/ijcl.20065.cur · Cited by 10
Self-citationCurry, N. (2022) · English language teaching · doi:10.1007/978-981-19-2152-0_14 · Cited by 5
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Metadata
- Authors
- Curry, N.
- Corresponding author
- Curry, Niall
- ORCID
- Curry, Niall
- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2021-06-28
- OpenAlex
- W4207003561
- Cited by
- 16
- References
- 0
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 4 · 2023: 3 · 2022: 5 · 2021: 1
- FWCI
- 16.72
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Routledge eBooks (publishedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
- Topics
- Social Sciences › Linguistics and Language › Discourse Analysis in Language Studies
- Social Sciences › Linguistics and Language › Linguistics and Discourse Analysis
- Social Sciences › Library and Information Sciences › Academic Writing and Publishing
- Keywords
- reader engagement, academic writing instruction, contrastive linguistics, corpus linguistics, English language, French language, Spanish language, opinion expression, discourse structure, cross-linguistic comparison
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