方法对比
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| Corpus Concordance Analysis× | 搭配分析× | |
|---|---|---|
| 领域≠ | 语言学 | 文本挖掘 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1991 | 1990 |
| 提出者≠ | Corpus linguists (John Sinclair; Paul Baker) | Church & Hanks |
| 类型≠ | Corpus-based descriptive analysis of word usage in context | Statistical text-mining technique |
| 开创性文献≠ | Baker, P. (2006). Using Corpora in Discourse Analysis. Continuum. ISBN: 9780826477248 | Church, K.W. & Hanks, P. (1990). Word Association Norms, Mutual Information, and Lexicography. Computational Linguistics, 16(1), 22-29. link ↗ |
| 别名 | Concordance Analysis, KWIC Analysis, Keyword-in-Context Analysis | word association, collocation extraction, Birliktelik Analizi (Collocation Analysis) |
| 相关≠ | 4 | 3 |
| 摘要≠ | 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. | Collocation analysis is a statistical text-mining technique that identifies word pairs or expressions that frequently occur together, using association measures rather than chance co-occurrence. Introduced in the lexicography work of Church and Hanks (1990), it is used for terminology extraction and language analysis, surfacing the multi-word units that carry meaning in a corpus. |
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