Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Dialectometric Distance Analysis× | Variationist Sociolinguistics× | |
|---|---|---|
| Область | Лингвистика | Лингвистика |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1971 | 1972 |
| Автор метода≠ | Jean Séguy (with Hans Goebl and John Nerbonne) | William Labov |
| Тип≠ | Quantitative method for measuring aggregate linguistic distance between dialect sites | Quantitative field study of socially conditioned linguistic variation |
| Основополагающий источник≠ | Séguy, J. (1971). La relation entre la distance spatiale et la distance lexicale. Revue de Linguistique Romane, 35, 335–357. link ↗ | Labov, W. (1972). Sociolinguistic Patterns. University of Pennsylvania Press. ISBN: 9780812210521 |
| Другие названия | Dialectometry, Aggregate Dialect Distance Analysis, Quantitative Dialectology | Variationist Analysis, Labovian Sociolinguistics, Quantitative Sociolinguistics |
| Связанные | 4 | 4 |
| Сводка≠ | Dialectometry is the quantitative measurement of how linguistically different dialect sites are from one another, aggregated across many features at once. Pioneered by Jean Séguy in the early 1970s and developed by Hans Goebl in Salzburg and John Nerbonne in Groningen, it takes the rich response data of traditional dialect atlases and computes, for every pair of survey sites, a single number summarizing their overall linguistic distance. These pairwise distances are then clustered and mapped, turning a sprawling atlas of individual features into an aggregate picture of dialect landscapes, continua, and boundaries that no single feature could reveal. | Variationist sociolinguistics is the quantitative study of how linguistic variation is structured by social and linguistic factors. Pioneered by William Labov in the 1960s and 1970s, it treats alternative ways of saying the same thing — the 'linguistic variable' — as systematically conditioned by speaker characteristics (class, age, sex, ethnicity), stylistic context, and the surrounding linguistic environment, and it uses statistical modeling of natural speech to reveal the orderly heterogeneity beneath apparent randomness. |
| ScholarGateНабор данных ↗ |
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