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Review your selected methods side by side; rows that differ are highlighted.
| N-gram Analysis× | Corpus Concordance Analysis× | |
|---|---|---|
| Field | Linguistics | Linguistics |
| Family | Process / pipeline | Process / pipeline |
| Year of origin≠ | 1999 | 1991 |
| Originator≠ | Corpus linguists (Douglas Biber; lexical bundles tradition) | Corpus linguists (John Sinclair; Paul Baker) |
| Type≠ | Frequency analysis of contiguous word sequences | Corpus-based descriptive analysis of word usage in context |
| Seminal source≠ | 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 |
| Aliases | Lexical Bundle Analysis, Cluster Analysis (corpus linguistics), Contiguous Sequence Analysis | Concordance Analysis, KWIC Analysis, Keyword-in-Context Analysis |
| Related | 4 | 4 |
| Summary≠ | 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. |
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