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N-gram Analysis×Keyness Analysis×
CampoLingüísticaLingüística
FamiliaProcess / pipelineProcess / pipeline
Año de origen19991997
Autor originalCorpus linguists (Douglas Biber; lexical bundles tradition)Mike Scott
TipoFrequency analysis of contiguous word sequencesCorpus comparison of relative word frequencies
Fuente seminalBiber, 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
Relacionados43
ResumenN-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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ScholarGateComparar métodos: N-gram Analysis · Keyness Analysis. Recuperado el 2026-06-24 de https://scholargate.app/es/compare