Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Collostructional Analysis× | Keyness Analysis× | |
|---|---|---|
| Campo | Lingüística | Lingüística |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 2003 | 1997 |
| Autor original≠ | Anatol Stefanowitsch & Stefan Th. Gries | Mike Scott |
| Tipo≠ | Statistical association analysis of lexemes and grammatical constructions | Corpus comparison of relative word frequencies |
| Fuente seminal≠ | Stefanowitsch, A., & Gries, S. T. (2003). Collostructions: Investigating the interaction of words and constructions. International Journal of Corpus Linguistics, 8(2), 209–243. DOI ↗ | Scott, M. (1997). PC analysis of key words — and key key words. System, 25(2), 233–245. DOI ↗ |
| Alias | Collexeme Analysis, Distinctive Collexeme Analysis, Co-varying Collexeme Analysis | Keyword Analysis, Corpus Keyness, Keyness Statistics |
| Relacionados≠ | 4 | 3 |
| Resumen≠ | 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. | Keyness analysis identifies the words that are characteristically frequent (or infrequent) in a target corpus relative to a reference corpus, using statistical tests to measure how unexpected each word's frequency is. Introduced by Mike Scott in 1997, it answers the question 'what is this text or collection distinctively about?' and is a central technique in corpus linguistics and corpus-assisted discourse analysis for surfacing the salient vocabulary of a genre, period, author, or social group. |
| ScholarGateConjunto de datos ↗ |
|
|