The DOI matches its Crossref record.
Twentieth-Century English: History, Variation and Standardization
Abstract
Standard English has evolved and developed in many ways over the past hundred years. From pronunciation to vocabulary to grammar, this concise survey clearly documents the recent history of Standard English. Drawing on large amounts of authentic corpus data, it shows how we can track ongoing changes to the language, and demonstrates each of the major developments that have taken place. As well as taking insights from a vast body of literature, Christian Mair presents the results of his own cutting-edge research, revealing some important changes which have not been previously documented. He concludes by exploring how social and cultural factors, such as the American influence on British English, have affected Standard English in recent times. Authoritative, informative and engaging, this book will be essential reading for anyone interested in language change in progress, particularly those working on English, and will be welcomed by students, researchers and language teachers alike.
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In the citing paper
“The Ministry was thus explicitly engaged in debates about what would later be called the 'informalisation' or even 'synthetic personalisation' of political English (Fairclough, 2015; Farrelly and Seoane, 2012; Mair, 2006; Pearce, 2005).”
From The Ministry of Information and the linguistic design of Britain’s World War II propaganda: What archival documents can tell us about political discourse (2020) · cites this paper as Mair, 2006
Citations
Cited by
Spencer-Bennett, J. (2020) · Discourse & Society · doi:10.1177/0957926519889125 · Cited by 3
Metadata
- Authors
- Mair, C.
- Publisher
- Cambridge University Press
- Published
- 2006-10-26
- Cited by
- 195
- References
- 0
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
