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Multidimensional Register Analysis×Keyness Analysis×
分野言語学言語学
系統Process / pipelineProcess / pipeline
提唱年19881997
提唱者Douglas BiberMike Scott
種類Factor-analytic analysis of co-occurring linguistic features across registersCorpus comparison of relative word frequencies
原典Biber, D. (1988). Variation across Speech and Writing. Cambridge University Press. ISBN: 9780521425568Scott, M. (1997). PC analysis of key words — and key key words. System, 25(2), 233–245. DOI ↗
別名Multidimensional Analysis (MD/MDA), Biber's Multidimensional Analysis, Dimensions of Register VariationKeyword Analysis, Corpus Keyness, Keyness Statistics
関連43
概要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.
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ScholarGate手法を比較: Multidimensional Register Analysis · Keyness Analysis. 2026-06-25に以下より取得 https://scholargate.app/ja/compare