手法を比較

	Keyness Analysis	Corpus Concordance Analysis
分野	言語学	言語学
系統	Process / pipeline	Process / pipeline
提唱年	1997	1991
提唱者	Mike Scott	Corpus linguists (John Sinclair; Paul Baker)
種類	Corpus comparison of relative word frequencies	Corpus-based descriptive analysis of word usage in context
原典	Scott, M. (1997). PC analysis of key words — and key key words. System, 25(2), 233–245.	Baker, P. (2006). Using Corpora in Discourse Analysis. Continuum. ISBN: 9780826477248
別名	Keyword Analysis, Corpus Keyness, Keyness Statistics	Concordance Analysis, KWIC Analysis, Keyword-in-Context Analysis
関連	3	4
概要	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.	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.