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N-gram Analysis×Keyness Analysis×
DomeniuLingvisticăLingvistică
FamilieProcess / pipelineProcess / pipeline
Anul apariției19991997
Autorul originalCorpus linguists (Douglas Biber; lexical bundles tradition)Mike Scott
TipFrequency analysis of contiguous word sequencesCorpus comparison of relative word frequencies
Sursa seminalăBiber, 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 ↗
Denumiri alternativeLexical Bundle Analysis, Cluster Analysis (corpus linguistics), Contiguous Sequence AnalysisKeyword Analysis, Corpus Keyness, Keyness Statistics
Înrudite43
RezumatN-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.
ScholarGateSet de date
  1. v1
  2. 3 Surse
  3. PUBLISHED
  1. v1
  2. 3 Surse
  3. PUBLISHED

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ScholarGateCompară metode: N-gram Analysis · Keyness Analysis. Preluat la 2026-06-24 de pe https://scholargate.app/ro/compare