Academic Bibliography

 Search 200 years of publications by Ghent University researchers.
Advanced search
1 file | 1.29 MB
Add to list
  1. Search results
  2. A corpus-based analysis of V2 variati...

A corpus-based analysis of V2 variation in West Flemish and French Flemish dialects

Chloé Lybaert (UGent) , Bernard De Clerck (UGent) , Jorien Saelens and Ludovic De Cuypere (UGent)
(2019) JOURNAL OF GERMANIC LINGUISTICS. 31(1). p.43-100
Author
Organization
Abstract
This paper explores V2 variation in West Flemish and French Flemish dialects of Dutch based on an extensive corpus of authentic spoken data by NORM speakers. After taking stock of the existing literature, we will probe into the effect of region, prosodic integration, form and function of the topicalised constituent, form of the subject and the number of constituents in the prefield on inverted and non-inverted patterns. As such, this study is the first to carry out regression analysis on the combined impact of these variables in the entire West Flemish and French Flemish region, with additional visualisation of effect sizes and interaction through conditional inference trees and random forest statistics. The results show that the phenomenon itself is more widespread than originally anticipated, though higher concentrations are attested in French Flemish, continental West Flemish and western West Flemish. With the exception of ‘number of constituents in the prefield’, all other variables had a significant impact on word order with region and form of the topicalised constituents as the strongest factors. The impact of prosodic integration and form of the subject varies across the different regions.
Keywords
syntactic variation, V2, mixed effects regression analysis, French and West Flemish dialects, FLANDERS

Downloads

  • Download
    (...).pdf
    • full text (Published version)
    • |
    • UGent only
    • |
    • PDF
    • |
    • 1.29 MB

Citation

Please use this url to cite or link to this publication:

MLA
Lybaert, Chloé, et al. “A Corpus-Based Analysis of V2 Variation in West Flemish and French Flemish Dialects.” JOURNAL OF GERMANIC LINGUISTICS, vol. 31, no. 1, 2019, pp. 43–100, doi:10.1017/S1470542718000028.
APA
Lybaert, C., De Clerck, B., Saelens, J., & De Cuypere, L. (2019). A corpus-based analysis of V2 variation in West Flemish and French Flemish dialects. JOURNAL OF GERMANIC LINGUISTICS, 31(1), 43–100. https://doi.org/10.1017/S1470542718000028
Chicago author-date
Lybaert, Chloé, Bernard De Clerck, Jorien Saelens, and Ludovic De Cuypere. 2019. “A Corpus-Based Analysis of V2 Variation in West Flemish and French Flemish Dialects.” JOURNAL OF GERMANIC LINGUISTICS 31 (1): 43–100. https://doi.org/10.1017/S1470542718000028.
Chicago author-date (all authors)
Lybaert, Chloé, Bernard De Clerck, Jorien Saelens, and Ludovic De Cuypere. 2019. “A Corpus-Based Analysis of V2 Variation in West Flemish and French Flemish Dialects.” JOURNAL OF GERMANIC LINGUISTICS 31 (1): 43–100. doi:10.1017/S1470542718000028.
Vancouver
1.
Lybaert C, De Clerck B, Saelens J, De Cuypere L. A corpus-based analysis of V2 variation in West Flemish and French Flemish dialects. JOURNAL OF GERMANIC LINGUISTICS. 2019;31(1):43–100.
IEEE
[1]
C. Lybaert, B. De Clerck, J. Saelens, and L. De Cuypere, “A corpus-based analysis of V2 variation in West Flemish and French Flemish dialects,” JOURNAL OF GERMANIC LINGUISTICS, vol. 31, no. 1, pp. 43–100, 2019.
@article{8057400,
  abstract     = {{This paper explores V2 variation in West Flemish and French Flemish dialects of Dutch based on an extensive corpus of authentic spoken data by NORM speakers. After taking stock of the existing literature, we will probe into the effect of region, prosodic integration, form and function of the topicalised constituent, form of the subject and the number of constituents in the prefield on inverted and non-inverted patterns. As such, this study is the first to carry out regression analysis on the combined impact of these variables in the entire West Flemish and French Flemish region, with additional visualisation of effect sizes and interaction through conditional inference trees and random forest statistics. The results show that the phenomenon itself is more widespread than originally anticipated, though higher concentrations are attested in French Flemish, continental West Flemish and western West Flemish. With the exception of ‘number of constituents in the prefield’, all other variables had a significant impact on word order with region and form of the topicalised constituents as the strongest factors. The impact of prosodic integration and form of the subject varies across the different regions.}},
  author       = {{Lybaert, Chloé and De Clerck, Bernard and Saelens, Jorien and De Cuypere, Ludovic}},
  issn         = {{1470-5427}},
  journal      = {{JOURNAL OF GERMANIC LINGUISTICS}},
  keywords     = {{syntactic variation,V2,mixed effects regression analysis,French and West Flemish dialects,FLANDERS}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{43--100}},
  title        = {{A corpus-based analysis of V2 variation in West Flemish and French Flemish dialects}},
  url          = {{http://doi.org/10.1017/S1470542718000028}},
  volume       = {{31}},
  year         = {{2019}},
}
Altmetric
View in Altmetric
Web of Science
Times cited: