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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.

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Sources

  1. Baker, P. (2006). Using Corpora in Discourse Analysis. Continuum. ISBN: 9780826477248
  2. Sinclair, J. (1991). Corpus, Concordance, Collocation. Oxford University Press. ISBN: 9780194371445
  3. 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. link

How to cite this page

ScholarGate. (2026, June 22). Concordance Analysis in Corpus Linguistics. ScholarGate. https://scholargate.app/en/linguistics/corpus-concordance-analysis

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Referenced by

ScholarGateCorpus Concordance Analysis (Concordance Analysis in Corpus Linguistics). Retrieved 2026-06-24 from https://scholargate.app/en/linguistics/corpus-concordance-analysis · Dataset: https://doi.org/10.5281/zenodo.20539026