Сравнение методов

	Corpus-Assisted Discourse Studies	Коллокационный анализ
Область	Лингвистика	Интеллектуальный анализ текста
Семейство	Process / pipeline	Process / pipeline
Год появления	2004	1990
Автор метода	Alan Partington and colleagues	Church & Hanks
Тип	Mixed-methods corpus-and-discourse analytic approach	Statistical text-mining technique
Основополагающий источник	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	Church, K.W. & Hanks, P. (1990). Word Association Norms, Mutual Information, and Lexicography. Computational Linguistics, 16(1), 22-29.
Другие названия	CADS, Corpus-Assisted Discourse Analysis, Corpus-Based Discourse Analysis	word association, collocation extraction, Birliktelik Analizi (Collocation Analysis)
Связанные	4	3
Сводка	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.	Collocation analysis is a statistical text-mining technique that identifies word pairs or expressions that frequently occur together, using association measures rather than chance co-occurrence. Introduced in the lexicography work of Church and Hanks (1990), it is used for terminology extraction and language analysis, surfacing the multi-word units that carry meaning in a corpus.