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Corpus-Assisted Discourse Studies×Keyness Analysis×
BidangLinguistikLinguistik
KeluargaProcess / pipelineProcess / pipeline
Tahun asal20041997
PencetusAlan Partington and colleaguesMike Scott
TipeMixed-methods corpus-and-discourse analytic approachCorpus comparison of relative word frequencies
Sumber perintisPartington, 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 ↗
AliasCADS, Corpus-Assisted Discourse Analysis, Corpus-Based Discourse AnalysisKeyword Analysis, Corpus Keyness, Keyness Statistics
Terkait43
RingkasanCorpus-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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ScholarGateBandingkan metode: Corpus-Assisted Discourse Studies · Keyness Analysis. Diakses 2026-06-24 dari https://scholargate.app/id/compare