השוואת שיטות

	Collostructional Analysis	ניתוח צירופים לשוניים
תחום	בלשנות	כריית טקסט
משפחה	Process / pipeline	Process / pipeline
שנת המקור	2003	1990
הוגה השיטה	Anatol Stefanowitsch & Stefan Th. Gries	Church & Hanks
סוג	Statistical association analysis of lexemes and grammatical constructions	Statistical text-mining technique
מקור מכונן	Stefanowitsch, A., & Gries, S. T. (2003). Collostructions: Investigating the interaction of words and constructions. International Journal of Corpus Linguistics, 8(2), 209–243.	Church, K.W. & Hanks, P. (1990). Word Association Norms, Mutual Information, and Lexicography. Computational Linguistics, 16(1), 22-29.
כינויים	Collexeme Analysis, Distinctive Collexeme Analysis, Co-varying Collexeme Analysis	word association, collocation extraction, Birliktelik Analizi (Collocation Analysis)
קשורות	4	3
תקציר	Collostructional analysis is a family of corpus-based methods, introduced by Anatol Stefanowitsch and Stefan Th. Gries in 2003, that quantify the mutual attraction or repulsion between specific words (lexemes) and the grammatical constructions they occur in. Rooted in construction grammar, it treats a construction — such as the ditransitive "V NP NP" or the "into-causative" — as a meaningful unit and asks which words are statistically drawn to it or kept from it. The core technique, simple collexeme analysis, cross-tabulates how often a lexeme appears in the construction against how often each appears elsewhere, and measures the strength of association, conventionally with a Fisher–Yates exact test. Two extensions handle near-synonymous constructions (distinctive collexeme analysis) and the joint behavior of two slots within one construction (co-varying collexeme analysis), making the method a rigorous quantitative window onto the lexis–grammar interface.	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.