Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Corpus Concordance Analysis× | Keyness Analysis× | |
|---|---|---|
| Область | Лингвистика | Лингвистика |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1991 | 1997 |
| Автор метода≠ | Corpus linguists (John Sinclair; Paul Baker) | Mike Scott |
| Тип≠ | Corpus-based descriptive analysis of word usage in context | Corpus comparison of relative word frequencies |
| Основополагающий источник≠ | Baker, P. (2006). Using Corpora in Discourse Analysis. Continuum. ISBN: 9780826477248 | Scott, M. (1997). PC analysis of key words — and key key words. System, 25(2), 233–245. DOI ↗ |
| Другие названия | Concordance Analysis, KWIC Analysis, Keyword-in-Context Analysis | Keyword Analysis, Corpus Keyness, Keyness Statistics |
| Связанные≠ | 4 | 3 |
| Сводка≠ | 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. | 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. |
| ScholarGateНабор данных ↗ |
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