Publication

Quantitative Social Dialectology: Explaining Linguistic Variation Geographically and Socially

Wieling, M., Nerbonne, J. & Baayen, R. H., 1-Sep-2011, In : PLoS ONE. 6, 9, 14 p., 23613.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Wieling, M., Nerbonne, J., & Baayen, R. H. (2011). Quantitative Social Dialectology: Explaining Linguistic Variation Geographically and Socially. PLoS ONE, 6(9), [23613]. https://doi.org/10.1371/journal.pone.0023613

Author

Wieling, Martijn ; Nerbonne, John ; Baayen, R. Harald. / Quantitative Social Dialectology : Explaining Linguistic Variation Geographically and Socially. In: PLoS ONE. 2011 ; Vol. 6, No. 9.

Harvard

Wieling, M, Nerbonne, J & Baayen, RH 2011, 'Quantitative Social Dialectology: Explaining Linguistic Variation Geographically and Socially', PLoS ONE, vol. 6, no. 9, 23613. https://doi.org/10.1371/journal.pone.0023613

Standard

Quantitative Social Dialectology : Explaining Linguistic Variation Geographically and Socially. / Wieling, Martijn; Nerbonne, John; Baayen, R. Harald.

In: PLoS ONE, Vol. 6, No. 9, 23613, 01.09.2011.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Wieling M, Nerbonne J, Baayen RH. Quantitative Social Dialectology: Explaining Linguistic Variation Geographically and Socially. PLoS ONE. 2011 Sep 1;6(9). 23613. https://doi.org/10.1371/journal.pone.0023613


BibTeX

@article{9c0279e3722640c7a234eb1c44097fa7,
title = "Quantitative Social Dialectology: Explaining Linguistic Variation Geographically and Socially",
abstract = "In this study we examine linguistic variation and its dependence on both social and geographic factors. We follow dialectometry in applying a quantitative methodology and focusing on dialect distances, and social dialectology in the choice of factors we examine in building a model to predict word pronunciation distances from the standard Dutch language to 424 Dutch dialects. We combine linear mixed-effects regression modeling with generalized additive modeling to predict the pronunciation distance of 559 words. Although geographical position is the dominant predictor, several other factors emerged as significant. The model predicts a greater distance from the standard for smaller communities, for communities with a higher average age, for nouns (as contrasted with verbs and adjectives), for more frequent words, and for words with relatively many vowels. The impact of the demographic variables, however, varied from word to word. For a majority of words, larger, richer and younger communities are moving towards the standard. For a smaller minority of words, larger, richer and younger communities emerge as driving a change away from the standard. Similarly, the strength of the effects of word frequency and word category varied geographically. The peripheral areas of the Netherlands showed a greater distance from the standard for nouns (as opposed to verbs and adjectives) as well as for high-frequency words, compared to the more central areas. Our findings indicate that changes in pronunciation have been spreading (in particular for low-frequency words) from the Hollandic center of economic power to the peripheral areas of the country, meeting resistance that is stronger wherever, for well-documented historical reasons, the political influence of Holland was reduced. Our results are also consistent with the theory of lexical diffusion, in that distances from the Hollandic norm vary systematically and predictably on a word by word basis.",
keywords = "MODEL, REGRESSION, FREQUENCY, HEIGHT",
author = "Martijn Wieling and John Nerbonne and Baayen, {R. Harald}",
year = "2011",
month = sep,
day = "1",
doi = "10.1371/journal.pone.0023613",
language = "English",
volume = "6",
journal = "PLOS-One",
issn = "1932-6203",
publisher = "PUBLIC LIBRARY SCIENCE",
number = "9",

}

RIS

TY - JOUR

T1 - Quantitative Social Dialectology

T2 - Explaining Linguistic Variation Geographically and Socially

AU - Wieling, Martijn

AU - Nerbonne, John

AU - Baayen, R. Harald

PY - 2011/9/1

Y1 - 2011/9/1

N2 - In this study we examine linguistic variation and its dependence on both social and geographic factors. We follow dialectometry in applying a quantitative methodology and focusing on dialect distances, and social dialectology in the choice of factors we examine in building a model to predict word pronunciation distances from the standard Dutch language to 424 Dutch dialects. We combine linear mixed-effects regression modeling with generalized additive modeling to predict the pronunciation distance of 559 words. Although geographical position is the dominant predictor, several other factors emerged as significant. The model predicts a greater distance from the standard for smaller communities, for communities with a higher average age, for nouns (as contrasted with verbs and adjectives), for more frequent words, and for words with relatively many vowels. The impact of the demographic variables, however, varied from word to word. For a majority of words, larger, richer and younger communities are moving towards the standard. For a smaller minority of words, larger, richer and younger communities emerge as driving a change away from the standard. Similarly, the strength of the effects of word frequency and word category varied geographically. The peripheral areas of the Netherlands showed a greater distance from the standard for nouns (as opposed to verbs and adjectives) as well as for high-frequency words, compared to the more central areas. Our findings indicate that changes in pronunciation have been spreading (in particular for low-frequency words) from the Hollandic center of economic power to the peripheral areas of the country, meeting resistance that is stronger wherever, for well-documented historical reasons, the political influence of Holland was reduced. Our results are also consistent with the theory of lexical diffusion, in that distances from the Hollandic norm vary systematically and predictably on a word by word basis.

AB - In this study we examine linguistic variation and its dependence on both social and geographic factors. We follow dialectometry in applying a quantitative methodology and focusing on dialect distances, and social dialectology in the choice of factors we examine in building a model to predict word pronunciation distances from the standard Dutch language to 424 Dutch dialects. We combine linear mixed-effects regression modeling with generalized additive modeling to predict the pronunciation distance of 559 words. Although geographical position is the dominant predictor, several other factors emerged as significant. The model predicts a greater distance from the standard for smaller communities, for communities with a higher average age, for nouns (as contrasted with verbs and adjectives), for more frequent words, and for words with relatively many vowels. The impact of the demographic variables, however, varied from word to word. For a majority of words, larger, richer and younger communities are moving towards the standard. For a smaller minority of words, larger, richer and younger communities emerge as driving a change away from the standard. Similarly, the strength of the effects of word frequency and word category varied geographically. The peripheral areas of the Netherlands showed a greater distance from the standard for nouns (as opposed to verbs and adjectives) as well as for high-frequency words, compared to the more central areas. Our findings indicate that changes in pronunciation have been spreading (in particular for low-frequency words) from the Hollandic center of economic power to the peripheral areas of the country, meeting resistance that is stronger wherever, for well-documented historical reasons, the political influence of Holland was reduced. Our results are also consistent with the theory of lexical diffusion, in that distances from the Hollandic norm vary systematically and predictably on a word by word basis.

KW - MODEL

KW - REGRESSION

KW - FREQUENCY

KW - HEIGHT

U2 - 10.1371/journal.pone.0023613

DO - 10.1371/journal.pone.0023613

M3 - Article

VL - 6

JO - PLOS-One

JF - PLOS-One

SN - 1932-6203

IS - 9

M1 - 23613

ER -

ID: 5397720