方法对比

	N-gram Analysis	Corpus Concordance Analysis
领域	语言学	语言学
方法族	Process / pipeline	Process / pipeline
起源年份	1999	1991
提出者	Corpus linguists (Douglas Biber; lexical bundles tradition)	Corpus linguists (John Sinclair; Paul Baker)
类型	Frequency analysis of contiguous word sequences	Corpus-based descriptive analysis of word usage in context
开创性文献	Biber, D., Johansson, S., Leech, G., Conrad, S., & Finegan, E. (1999). Longman Grammar of Spoken and Written English. Longman. ISBN: 9780582237254	Baker, P. (2006). Using Corpora in Discourse Analysis. Continuum. ISBN: 9780826477248
别名	Lexical Bundle Analysis, Cluster Analysis (corpus linguistics), Contiguous Sequence Analysis	Concordance Analysis, KWIC Analysis, Keyword-in-Context Analysis
相关	4	4
摘要	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.	Corpus concordance analysis is a core corpus-linguistic technique that retrieves every occurrence of a search word or phrase from a large body of machine-readable text and displays them in keyword-in-context (KWIC) format — the target term aligned in a central column with its surrounding co-text. By reading and sorting these lines, analysts uncover the recurrent patterns, collocations, and meanings of words as they are actually used, grounding linguistic claims in attested evidence rather than introspection.