N-gram Analysis
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.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Biber, D., Johansson, S., Leech, G., Conrad, S., & Finegan, E. (1999). Longman Grammar of Spoken and Written English. Longman. · ISBN 9780582237254
- O'Keeffe, A., & McCarthy, M. (Eds.). (2010). The Routledge Handbook of Corpus Linguistics. Routledge. · ISBN 9780415464895
- Anthony, L. (2004). AntConc: A learner and classroom friendly, multi-platform corpus analysis toolkit. In Proceedings of IWLeL 2004: An Interactive Workshop on Language e-Learning (pp. 7–13). Waseda University. · URL
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.