ScholarGate
어시스턴트

방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

Multidimensional Register Analysis×Keyness Analysis×
분야언어학언어학
계열Process / pipelineProcess / pipeline
기원 연도19881997
창시자Douglas BiberMike Scott
유형Factor-analytic analysis of co-occurring linguistic features across registersCorpus comparison of relative word frequencies
원전Biber, 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 ↗
별칭Multidimensional Analysis (MD/MDA), Biber's Multidimensional Analysis, Dimensions of Register VariationKeyword Analysis, Corpus Keyness, Keyness Statistics
관련43
요약Multidimensional (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.
ScholarGate데이터셋
  1. v1
  2. 2 출처
  3. PUBLISHED
  1. v1
  2. 3 출처
  3. PUBLISHED

검색으로 이동 슬라이드 다운로드

ScholarGate방법 비교: Multidimensional Register Analysis · Keyness Analysis. 2026-06-24에 다음에서 검색함: https://scholargate.app/ko/compare