Academic Writing and Reader Engagement 2021
DOI: 10.4324/9780429322921-8
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Questions as reader engagement in English, French, and Spanish

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Cited by 3 publications
(3 citation statements)
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“…The last category of engagement meta-discourse also appeals directly to the reader and offer some inside information that assist the arguments. Personal asides refer to language within the text that is used to deliver extra and tangential information to the reader (Curry, 2021). They allow writers to address readers directly by briefly interrupting the argument to offer a comment on what has been said (Hyland, 2005b).…”
Section: Personal Asidesmentioning
confidence: 99%
“…The last category of engagement meta-discourse also appeals directly to the reader and offer some inside information that assist the arguments. Personal asides refer to language within the text that is used to deliver extra and tangential information to the reader (Curry, 2021). They allow writers to address readers directly by briefly interrupting the argument to offer a comment on what has been said (Hyland, 2005b).…”
Section: Personal Asidesmentioning
confidence: 99%
“…Their study produced generally positive results for using corpora to develop academic writing. Academic corpora could be examined by researchers at any career stage to investigate discreet and disciplinary facets of writing, such as how the authors express aspects of stance and engagement like rhetorical questions in their writing (e.g., Curry, 2021a). These applications could employ the use of a monolingual specialised corpus of expert writing or a comparable corpus of expert and novice writing, as in the case of Lee and Swales (2006), while multilingual corpora could be used to identify differences across languages (Almazova & Kogan, 2014;Curry & Chambers, 2017;Schmied, 2011).…”
mentioning
confidence: 99%
“…For example, there is potential for a lack of consideration for the role of interpretation when conducting corpus analyses (Egbert et al, 2020) and a growing preoccupation with quantity over quality in corpus description (Egbert, 2019). Moreover, with a focus on big data, there is of relegating small, specialised corpora to a lesser status, despite small corpora remaining of critical importance when applying corpus linguistics to fields such as languages for specific purposes, contrastive linguistics, and pragmatics (Cotos, 2017;Curry, 2021;Rühlemann, 2021). Offering a counter-perspective to such worrying practices, Fundamental Principles of Corpus Linguistics (McEnery & Brezina, 2022) reminds us of the need to focus not just on the quantity of corpus data, but also on their quality.…”
mentioning
confidence: 99%