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N-gram Analysis×Keyness Analysis×
FagfeltLingvistikkLingvistikk
FamilieProcess / pipelineProcess / pipeline
Opprinnelsesår19991997
OpphavspersonCorpus linguists (Douglas Biber; lexical bundles tradition)Mike Scott
TypeFrequency analysis of contiguous word sequencesCorpus comparison of relative word frequencies
Opprinnelig kildeBiber, D., Johansson, S., Leech, G., Conrad, S., & Finegan, E. (1999). Longman Grammar of Spoken and Written English. Longman. ISBN: 9780582237254Scott, M. (1997). PC analysis of key words — and key key words. System, 25(2), 233–245. DOI ↗
AliasLexical Bundle Analysis, Cluster Analysis (corpus linguistics), Contiguous Sequence AnalysisKeyword Analysis, Corpus Keyness, Keyness Statistics
Relaterte43
SammendragN-gram analysis is a corpus-linguistic technique that extracts and ranks every contiguous sequence of n words (or characters) in a corpus, exposing the recurrent multi-word units — two-word bigrams, three-word trigrams, and longer 'lexical bundles' — that make up a register or text type. By counting how often each sequence recurs, it reveals the prefabricated, formulaic backbone of language that single-word frequency lists cannot capture.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.
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ScholarGateSammenlign metoder: N-gram Analysis · Keyness Analysis. Hentet 2026-06-24 fra https://scholargate.app/no/compare