Multidimensional Register Analysis
Multidimensional (MD) analysis is a corpus-linguistic method, developed by Douglas Biber in the 1980s, for describing how language varies across registers — speech versus writing, conversation versus academic prose, and so on. Its central idea is that many individual linguistic features (pronouns, passives, nominalizations, modals, and dozens more) systematically co-occur, and that these co-occurrence patterns define underlying dimensions of variation. Biber tags and counts a large set of features in every text of a balanced corpus, then uses factor analysis to extract the dimensions, interprets each functionally (Biber's Dimension 1 contrasts 'involved' interactive production with 'informational' production), and scores every text and register along them. The result is a quantitative, multifaceted map of register variation that replaces single rankings (such as a simple formality scale) with several independent dimensions.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
- Biber, D. (1988). Variation across Speech and Writing. Cambridge University Press. · ISBN 9780521425568
- Biber, D. (1995). Dimensions of Register Variation: A Cross-Linguistic Comparison. Cambridge University Press. · ISBN 9780521473316
精选声明
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当分类账中没有声明时，此视图不会自行创建声明评估。
相关方法
从方法图中生成，显示为机器建议的关系 — 不推断任何证据声明。