Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Dialectometric Distance Analysis× | Sociophonetic Analysis× | |
|---|---|---|
| Nozare | Valodniecība | Valodniecība |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1971 | 2006 |
| Autors≠ | Jean Séguy (with Hans Goebl and John Nerbonne) | Sociophoneticians (William Labov; Paul Foulkes; Erik R. Thomas) |
| Tips≠ | Quantitative method for measuring aggregate linguistic distance between dialect sites | Workflow correlating acoustic phonetic measurement with social factors |
| Pirmavots≠ | Séguy, J. (1971). La relation entre la distance spatiale et la distance lexicale. Revue de Linguistique Romane, 35, 335–357. link ↗ | Foulkes, P., Scobbie, J. M., & Watt, D. (2010). Sociophonetics. In W. J. Hardcastle, J. Laver, & F. E. Gibbon (Eds.), The Handbook of Phonetic Sciences (2nd ed., pp. 703–754). Wiley-Blackwell. ISBN: 9781405145909 |
| Citi nosaukumi | Dialectometry, Aggregate Dialect Distance Analysis, Quantitative Dialectology | Sociophonetics, Sociophonetic Variation Analysis, Phonetic Variation Analysis |
| Saistītās | 4 | 4 |
| Kopsavilkums≠ | 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. | Sociophonetic analysis sits at the intersection of acoustic phonetics and variationist sociolinguistics. It applies the precise, quantitative measurement of phonetic variables — vowel formants, voice onset time (VOT), the spectral moments of /s/, and many others — to socially structured samples of speech, then correlates those measurements with social factors such as age, social class, gender, ethnicity, and region. The result is a fine-grained, statistically defensible account of how phonetic detail carries social meaning and how it patterns across communities and across time, increasingly built on large-scale, automated measurement. |
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