Chapter published in:Acquiring Sociolinguistic Variation
Edited by Gunther De Vogelaer and Matthias Katerbow
[Studies in Language Variation 20] 2017
► pp. 267–304
Acquisition of phonological variables of a Flemish dialect by children raised in Standard Dutch
Some considerations on the learning mechanisms
Kathy Rys | Computational Linguistics and Psycholinguistics Research Center (CLiPS), University of Antwerp
Emmanuel Keuleers | Tilburg center for Cognition and Communication (TiCC), Tilburg University
Walter Daelemans | Computational Linguistics and Psycholinguistics Research Center (CLiPS), University of Antwerp
Steven Gillis | Computational Linguistics and Psycholinguistics Research Center (CLiPS), University of Antwerp
This study investigates the learning mechanisms underlying the acquisition of a dialect as a second language. We focus on the acquisition of phonological features of a Flemish dialect by children with Standard Dutch or a regional variety of Dutch as their first language. Data were gathered by means of picture naming and sentence completion tasks. Inspired by Chambers (1992), who found that the data of second dialect learners displayed S-curve patterns which he interpreted as evidence of rule-based learning, we examine whether similar S-curves can be observed in the learner data of our subjects. Contrary to Chambers, our subjects’ data do not display S-curves but bear evidence of word-by-word learning across the board. These data are consistent with analogical memory-based models of language acquisition. In order to further investigate the applicability of memory-based reasoning to our data, we perform a computational classification task in TiMBL (Daelemans & Van den Bosch 2005), in which the dialect forms of Standard Dutch words have to be predicted on the basis of various amounts of training data. Not only do we compare the accuracy scores of the model with the acquisition scores of our subjects, the classification task also gives us insight into which words constitute the nearest neighbours of a given word. On the basis of this output, we investigate the effect of the number of enemy neighbours on the degree to which the subjects realize the correct dialect variants of words and on the degree to which they make overgeneralization errors. The major finding of this paper is that dialect forms are more often realized incorrectly and that more overgeneralization errors occur in words with a large(r) number of enemy neighbours.
Keywords: second dialect acquisition, memory-based learning, rule-based learning, neighbourhood effects, overgeneralization
Published online: 30 September 2017
Albright, Adam, and Bruce Hayes
Baayen, Harald, R. Piepenbrock, and Leon Gulikers
Chen, Matthew Y., and William S.-Y. Wang
Daelemans, Walter, and Antal Van den Bosch
Deprez, Kas, and Georges De Schutter
Devitt, Amy J.
De Vogelaer, Gunther
De Vogelaer, Gunther, and Clasien Rooze-Stouthamer
Dressler, Wolfgang, and Ruth Wodak
Ernestus, Mirjam, and Harald Baayen
Hill, J. P.
Keuleers, Emmanuel, Kevin Diependaele, and Marc Brysbaert
Münstermann, Henk, and Roeland Van Hout
Payne, Arvilla C.
Rys, Kathy, and Dries Bonte
Rys, Kathy, and Katrien De Valck
2010 “Overgeneralisatie in tweede dialectverwerving: het belang van typefrequentie voor de productiviteit van kenmerken en voor het proces van dialectverandering.” In Voor Magda. Artikelen voor Magda Devos bij haar afscheid van de Universiteit Gent, ed. by Johan De Caluwe, and Jacques Van Keymeulen, 525–540. Ghent: Ghent University, Department of Dutch Linguistics/Academia Press.
Rys, Kathy, and Johan Taeldeman
Sabbe, Saraï Hananja
Skousen, Royal, Deryle Lonsdale, and Dilworth B. Parkinson
Tagliamonte, Sali A., and Sonja Molfenter
Vousten, Rob, and Theo Bongaerts
Wang, William S.-Y., and Chin-Chuan Cheng