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Corpus-Assisted Discourse Studies×Keyness Analysis×
TieteenalaKielitiedeKielitiede
MenetelmäperheProcess / pipelineProcess / pipeline
Syntyvuosi20041997
KehittäjäAlan Partington and colleaguesMike Scott
TyyppiMixed-methods corpus-and-discourse analytic approachCorpus comparison of relative word frequencies
AlkuperäislähdePartington, A., Duguid, A., & Taylor, C. (2013). Patterns and Meanings in Discourse: Theory and Practice in Corpus-Assisted Discourse Studies (CADS). John Benjamins. ISBN: 9789027203885Scott, M. (1997). PC analysis of key words — and key key words. System, 25(2), 233–245. DOI ↗
RinnakkaisnimetCADS, Corpus-Assisted Discourse Analysis, Corpus-Based Discourse AnalysisKeyword Analysis, Corpus Keyness, Keyness Statistics
Liittyvät43
TiivistelmäCorpus-Assisted Discourse Studies (CADS) is a mixed-methods approach that combines the quantitative power of corpus linguistics with the interpretive depth of discourse analysis to investigate how meanings, evaluations, and ideologies are constructed across large collections of text. Pioneered by Alan Partington and colleagues, CADS uses corpus techniques such as keyness, collocation, and concordancing to identify patterns no analyst could find by reading alone, then 'shunts' back to close qualitative reading to interpret what those patterns mean in their discursive context.Keyness analysis identifies the words that are characteristically frequent (or infrequent) in a target corpus relative to a reference corpus, using statistical tests to measure how unexpected each word's frequency is. Introduced by Mike Scott in 1997, it answers the question 'what is this text or collection distinctively about?' and is a central technique in corpus linguistics and corpus-assisted discourse analysis for surfacing the salient vocabulary of a genre, period, author, or social group.
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ScholarGateVertaile menetelmiä: Corpus-Assisted Discourse Studies · Keyness Analysis. Haettu 2026-06-24 osoitteesta https://scholargate.app/fi/compare