विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| Keyness Analysis× | Corpus Concordance Analysis× | |
|---|---|---|
| क्षेत्र | भाषाविज्ञान | भाषाविज्ञान |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1997 | 1991 |
| प्रवर्तक≠ | Mike Scott | Corpus linguists (John Sinclair; Paul Baker) |
| प्रकार≠ | Corpus comparison of relative word frequencies | Corpus-based descriptive analysis of word usage in context |
| मौलिक स्रोत≠ | Scott, M. (1997). PC analysis of key words — and key key words. System, 25(2), 233–245. DOI ↗ | Baker, P. (2006). Using Corpora in Discourse Analysis. Continuum. ISBN: 9780826477248 |
| उपनाम | Keyword Analysis, Corpus Keyness, Keyness Statistics | Concordance Analysis, KWIC Analysis, Keyword-in-Context Analysis |
| संबंधित≠ | 3 | 4 |
| सारांश≠ | 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. | 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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