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Keyness Analysis×Corpus Concordance Analysis×
ΠεδίοΓλωσσολογίαΓλωσσολογία
ΟικογένειαProcess / pipelineProcess / pipeline
Έτος προέλευσης19971991
ΔημιουργόςMike ScottCorpus linguists (John Sinclair; Paul Baker)
ΤύποςCorpus comparison of relative word frequenciesCorpus-based descriptive analysis of word usage in context
Θεμελιώδης πηγήScott, M. (1997). PC analysis of key words — and key key words. System, 25(2), 233–245. DOI ↗Baker, P. (2006). Using Corpora in Discourse Analysis. Continuum. ISBN: 9780826477248
Εναλλακτικές ονομασίεςKeyword Analysis, Corpus Keyness, Keyness StatisticsConcordance Analysis, KWIC Analysis, Keyword-in-Context Analysis
Συναφείς34
ΣύνοψηKeyness 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.Corpus concordance analysis is a core corpus-linguistic technique that retrieves every occurrence of a search word or phrase from a large body of machine-readable text and displays them in keyword-in-context (KWIC) format — the target term aligned in a central column with its surrounding co-text. By reading and sorting these lines, analysts uncover the recurrent patterns, collocations, and meanings of words as they are actually used, grounding linguistic claims in attested evidence rather than introspection.
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ScholarGateΣύγκριση μεθόδων: Keyness Analysis · Corpus Concordance Analysis. Ανακτήθηκε στις 2026-06-24 από https://scholargate.app/el/compare