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A Corpus-Based Analysis of V2 Variation in West Flemish and French Flemish Dialects

Published online by Cambridge University Press:  15 February 2019

Chloé Lybaert*
Affiliation:
Ghent University
Bernard De Clerck*
Affiliation:
Ghent University
Jorien Saelens*
Affiliation:
Ghent University
Ludovic De Cuypere*
Affiliation:
Ghent University
*
Ghent University, Department of Translation, Interpreting and Communication, Groot-Brittanniëlaan 45, 9000 Ghent, Belgium, [chloe.lybaert@ugent.be], [bernard.declerck@ugent.be]
Ghent University, Department of Translation, Interpreting and Communication, Groot-Brittanniëlaan 45, 9000 Ghent, Belgium, [chloe.lybaert@ugent.be], [bernard.declerck@ugent.be]
Linguistics Department, Jubileumlaan 33-35, 9000 Ghent, Belgium, [ludovic.decuypere@ugent.be]
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Abstract

This paper explores V2 variation in West Flemish and French Flemish dialects of Dutch based on an extensive corpus of authentic spoken data. After taking stock of the existing literature, we probe into the effect of region, prosodic integration, form and function of the topicalized constituent, form of the subject, and the number of constituents in the prefield on (non)inverted word order. This is the first study that carries out regression analysis on the combined impact of these variables in the entire West Flemish and French Flemish region, with additional visualization of effect sizes. The results show that noninversion is generally more widespread than originally anticipated, with unexpected higher occurrence of noninversion in continental West Flemish and lower frequencies in western West Flemish. With the exception of the variable number of constituents in the prefield, all other variables had a significant impact on word order: Clausal topicalized elements, elements that have peripheral functions, and elements that lack prosodic integration all favor noninverted word order. The form of the subject also impacted word order, but its effect is sometimes overruled by discourse considerations.

Information

Type
Articles
Copyright
© Society for Germanic Linguistics 2019 
Figure 0

Figure 1. Dialect areas in Flanders.

Figure 1

Figure 2. Subdivision of the West Flemish dialect area (Devos & Vandekerckhove 2005:29).

Figure 2

Figure 3. Selected villages.

Figure 3

Table 1. Results across categorical variables.

Figure 4

Figure 4. The relative frequencies of no inversion per city and by region.

Figure 5

Table 2. Model estimates. No inversion is treated as the success.18

Figure 6

Figure 5. The predicted probabilities and 95% confidence intervals of the significant predictors.

Figure 7

Figure 6. Random intercepts for region.

Figure 8

Figure 7. Random intercepts for city within region.

Figure 9

Table 3. Model estimates. “No inversion” is treated as the success.21

Figure 10

Figure 8. Predicted probability and 95% CI for the variable adjunct type.

Figure 11

Table 4. (Non)inversion in the folklore story of Paardje Malegrijs.