Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Semantic Prosody Analysis× | Corpus Concordance Analysis× | |
|---|---|---|
| Nyanja | Isimu | Isimu |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1993 | 1991 |
| Mwanzilishi≠ | John Sinclair & Bill Louw (term coined by Louw) | Corpus linguists (John Sinclair; Paul Baker) |
| Aina≠ | Corpus-based analysis of evaluative/attitudinal meaning from habitual collocation | Corpus-based descriptive analysis of word usage in context |
| Chanzo asilia≠ | Louw, B. (1993). Irony in the text or insincerity in the writer? The diagnostic potential of semantic prosodies. In M. Baker, G. Francis, & E. Tognini-Bonelli (Eds.), Text and Technology (pp. 157–176). John Benjamins. ISBN: 9789027221391 | Baker, P. (2006). Using Corpora in Discourse Analysis. Continuum. ISBN: 9780826477248 |
| Majina mbadala | Discourse Prosody Analysis, Evaluative Prosody Analysis, Pragmatic Prosody Analysis | Concordance Analysis, KWIC Analysis, Keyword-in-Context Analysis |
| Zinazohusiana | 4 | 4 |
| Muhtasari≠ | Semantic prosody analysis is a corpus-linguistic method for uncovering the attitudinal or evaluative coloring a word acquires from the company it habitually keeps. Developed within John Sinclair's work on collocation and named by Bill Louw in 1993, it rests on the observation that some words carry a consistent positive or negative aura not recorded in dictionaries — the phrasal verb "set in" attracts unpleasant subjects (rot, decay, despair), and "cause" overwhelmingly precedes bad outcomes. The method retrieves a word's habitual collocates from a large corpus and reads them for a recurrent evaluative pattern, treating that pattern as part of the word's meaning. Because the prosody is built up across many instances, it is invisible from a single example and only emerges through corpus evidence, making this a paradigm case of how meaning lives in usage. | 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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