השוואת שיטות

	Corpus Concordance Analysis	Keyness Analysis
תחום	בלשנות	בלשנות
משפחה	Process / pipeline	Process / pipeline
שנת המקור	1991	1997
הוגה השיטה	Corpus linguists (John Sinclair; Paul Baker)	Mike Scott
סוג	Corpus-based descriptive analysis of word usage in context	Corpus comparison of relative word frequencies
מקור מכונן	Baker, P. (2006). Using Corpora in Discourse Analysis. Continuum. ISBN: 9780826477248	Scott, M. (1997). PC analysis of key words — and key key words. System, 25(2), 233–245.
כינויים	Concordance Analysis, KWIC Analysis, Keyword-in-Context Analysis	Keyword Analysis, Corpus Keyness, Keyness Statistics
קשורות	4	3
תקציר	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.	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.