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Corpus Concordance Analysis×Keyness Analysis×
ГалузьЛінгвістикаЛінгвістика
РодинаProcess / pipelineProcess / pipeline
Рік появи19911997
Автор методуCorpus linguists (John Sinclair; Paul Baker)Mike Scott
ТипCorpus-based descriptive analysis of word usage in contextCorpus comparison of relative word frequencies
Основоположне джерелоBaker, P. (2006). Using Corpora in Discourse Analysis. Continuum. ISBN: 9780826477248Scott, M. (1997). PC analysis of key words — and key key words. System, 25(2), 233–245. DOI ↗
Інші назвиConcordance Analysis, KWIC Analysis, Keyword-in-Context AnalysisKeyword Analysis, Corpus Keyness, Keyness Statistics
Пов'язані43
ПідсумокCorpus 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.
ScholarGateНабір даних
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  3. PUBLISHED
  1. v1
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ScholarGateПорівняння методів: Corpus Concordance Analysis · Keyness Analysis. Отримано 2026-06-24 з https://scholargate.app/uk/compare