Comparer des méthodes

	Multidimensional Register Analysis	Keyness Analysis
Domaine	Linguistique	Linguistique
Famille	Process / pipeline	Process / pipeline
Année d'origine	1988	1997
Auteur d'origine	Douglas Biber	Mike Scott
Type	Factor-analytic analysis of co-occurring linguistic features across registers	Corpus comparison of relative word frequencies
Source fondatrice	Biber, D. (1988). Variation across Speech and Writing. Cambridge University Press. ISBN: 9780521425568	Scott, M. (1997). PC analysis of key words — and key key words. System, 25(2), 233–245.
Alias	Multidimensional Analysis (MD/MDA), Biber's Multidimensional Analysis, Dimensions of Register Variation	Keyword Analysis, Corpus Keyness, Keyness Statistics
Apparentées	4	3
Résumé	Multidimensional (MD) analysis is a corpus-linguistic method, developed by Douglas Biber in the 1980s, for describing how language varies across registers — speech versus writing, conversation versus academic prose, and so on. Its central idea is that many individual linguistic features (pronouns, passives, nominalizations, modals, and dozens more) systematically co-occur, and that these co-occurrence patterns define underlying dimensions of variation. Biber tags and counts a large set of features in every text of a balanced corpus, then uses factor analysis to extract the dimensions, interprets each functionally (Biber's Dimension 1 contrasts 'involved' interactive production with 'informational' production), and scores every text and register along them. The result is a quantitative, multifaceted map of register variation that replaces single rankings (such as a simple formality scale) with several independent dimensions.	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.