方法对比

	Perceptual Dialectology	Sociophonetic Analysis
领域	语言学	语言学
方法族	Process / pipeline	Process / pipeline
起源年份	1989	2006
提出者	Dennis R. Preston (building on Dutch and Japanese folk-dialectology traditions)	Sociophoneticians (William Labov; Paul Foulkes; Erik R. Thomas)
类型	Folk-linguistic method for studying non-linguists' perceptions of dialects	Workflow correlating acoustic phonetic measurement with social factors
开创性文献	Preston, D. R. (1989). Perceptual Dialectology: Nonlinguists' Views of Areal Linguistics. Foris. ISBN: 9789067654487	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
别名	Folk Dialectology, Perceptual Dialect Mapping, Draw-a-Map Dialectology	Sociophonetics, Sociophonetic Variation Analysis, Phonetic Variation Analysis
相关	4	4
摘要	Perceptual dialectology studies what ordinary, non-linguist speakers believe about language variation: where they think different dialects are spoken, what those dialects sound like, and how correct, pleasant, or different they judge them to be. Developed in its modern form by Dennis R. Preston in the 1980s, it is a branch of folk linguistics that treats lay perceptions as data in their own right rather than as errors to be corrected. Through draw-a-map tasks, dialect ranking, and identification exercises, it reveals the mental maps and social evaluations that shape how people experience the linguistic landscape around them.	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.