Σύγκριση μεθόδων

	N-gram Analysis	Keyness Analysis
Πεδίο	Γλωσσολογία	Γλωσσολογία
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	1999	1997
Δημιουργός	Corpus linguists (Douglas Biber; lexical bundles tradition)	Mike Scott
Τύπος	Frequency analysis of contiguous word sequences	Corpus comparison of relative word frequencies
Θεμελιώδης πηγή	Biber, D., Johansson, S., Leech, G., Conrad, S., & Finegan, E. (1999). Longman Grammar of Spoken and Written English. Longman. ISBN: 9780582237254	Scott, M. (1997). PC analysis of key words — and key key words. System, 25(2), 233–245.
Εναλλακτικές ονομασίες	Lexical Bundle Analysis, Cluster Analysis (corpus linguistics), Contiguous Sequence Analysis	Keyword Analysis, Corpus Keyness, Keyness Statistics
Συναφείς	4	3
Σύνοψη	N-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.