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N-gram Analysis×Analyse de collocations×
DomaineLinguistiqueFouille de textes
FamilleProcess / pipelineProcess / pipeline
Année d'origine19991990
Auteur d'origineCorpus linguists (Douglas Biber; lexical bundles tradition)Church & Hanks
TypeFrequency analysis of contiguous word sequencesStatistical text-mining technique
Source fondatriceBiber, D., Johansson, S., Leech, G., Conrad, S., & Finegan, E. (1999). Longman Grammar of Spoken and Written English. Longman. ISBN: 9780582237254Church, K.W. & Hanks, P. (1990). Word Association Norms, Mutual Information, and Lexicography. Computational Linguistics, 16(1), 22-29. link ↗
AliasLexical Bundle Analysis, Cluster Analysis (corpus linguistics), Contiguous Sequence Analysisword association, collocation extraction, Birliktelik Analizi (Collocation Analysis)
Apparentées43
RésuméN-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.Collocation analysis is a statistical text-mining technique that identifies word pairs or expressions that frequently occur together, using association measures rather than chance co-occurrence. Introduced in the lexicography work of Church and Hanks (1990), it is used for terminology extraction and language analysis, surfacing the multi-word units that carry meaning in a corpus.
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ScholarGateComparer des méthodes: N-gram Analysis · Collocation Analysis. Consulté le 2026-06-24 sur https://scholargate.app/fr/compare