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| Collostructional Analysis× | Corpus Concordance Analysis× | |
|---|---|---|
| Fagområde | Lingvistik | Lingvistik |
| Familie | Process / pipeline | Process / pipeline |
| Oprindelsesår≠ | 2003 | 1991 |
| Ophavsperson≠ | Anatol Stefanowitsch & Stefan Th. Gries | Corpus linguists (John Sinclair; Paul Baker) |
| Type≠ | Statistical association analysis of lexemes and grammatical constructions | Corpus-based descriptive analysis of word usage in context |
| Oprindelig kilde≠ | Stefanowitsch, A., & Gries, S. T. (2003). Collostructions: Investigating the interaction of words and constructions. International Journal of Corpus Linguistics, 8(2), 209–243. DOI ↗ | Baker, P. (2006). Using Corpora in Discourse Analysis. Continuum. ISBN: 9780826477248 |
| Aliasser | Collexeme Analysis, Distinctive Collexeme Analysis, Co-varying Collexeme Analysis | Concordance Analysis, KWIC Analysis, Keyword-in-Context Analysis |
| Relaterede | 4 | 4 |
| Resumé≠ | 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. | 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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