Confronta i metodi

	Corpus-Assisted Discourse Studies	Corpus Concordance Analysis
Campo	Linguistica	Linguistica
Famiglia	Process / pipeline	Process / pipeline
Anno di origine	2004	1991
Ideatore	Alan Partington and colleagues	Corpus linguists (John Sinclair; Paul Baker)
Tipo	Mixed-methods corpus-and-discourse analytic approach	Corpus-based descriptive analysis of word usage in context
Fonte seminale	Partington, A., Duguid, A., & Taylor, C. (2013). Patterns and Meanings in Discourse: Theory and Practice in Corpus-Assisted Discourse Studies (CADS). John Benjamins. ISBN: 9789027203885	Baker, P. (2006). Using Corpora in Discourse Analysis. Continuum. ISBN: 9780826477248
Alias	CADS, Corpus-Assisted Discourse Analysis, Corpus-Based Discourse Analysis	Concordance Analysis, KWIC Analysis, Keyword-in-Context Analysis
Correlati	4	4
Sintesi	Corpus-Assisted Discourse Studies (CADS) is a mixed-methods approach that combines the quantitative power of corpus linguistics with the interpretive depth of discourse analysis to investigate how meanings, evaluations, and ideologies are constructed across large collections of text. Pioneered by Alan Partington and colleagues, CADS uses corpus techniques such as keyness, collocation, and concordancing to identify patterns no analyst could find by reading alone, then 'shunts' back to close qualitative reading to interpret what those patterns mean in their discursive context.	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.