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Keyness Analysis×Corpus Concordance Analysis×
ক্ষেত্রভাষাবিজ্ঞানভাষাবিজ্ঞান
পরিবারProcess / pipelineProcess / pipeline
উদ্ভবের বছর19971991
প্রবর্তকMike ScottCorpus linguists (John Sinclair; Paul Baker)
ধরনCorpus comparison of relative word frequenciesCorpus-based descriptive analysis of word usage in context
মৌলিক উৎসScott, 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
অপর নামKeyword Analysis, Corpus Keyness, Keyness StatisticsConcordance Analysis, KWIC Analysis, Keyword-in-Context Analysis
সম্পর্কিত34
সারসংক্ষেপKeyness 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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ScholarGateপদ্ধতির তুলনা করুন: Keyness Analysis · Corpus Concordance Analysis. 2026-06-24 তারিখে সংগৃহীত, উৎস: https://scholargate.app/bn/compare