Corpus Concordance Analysis
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.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Baker, P. (2006). Using Corpora in Discourse Analysis. Continuum. · ISBN 9780826477248
- Sinclair, J. (1991). Corpus, Concordance, Collocation. Oxford University Press. · ISBN 9780194371445
- 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.