Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
Adaptation to novel accents: feature-based learning of context-sensitive phonological regularities
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 2799827
Author(s) Skoruppa, Katrin; Peperkamp, Sharon
Author(s) at UniBasel Skoruppa, Katrin
Year 2011
Title Adaptation to novel accents: feature-based learning of context-sensitive phonological regularities
Journal Cognitive science
Volume 35
Number 2
Pages / Article-Number 348-66
Mesh terms Adaptation, Psychological; Adolescent; Adult; Humans; Learning; Phonetics; Psychomotor Performance; Speech Intelligibility; Speech Perception
Abstract This paper examines whether adults can adapt to novel accents of their native language that contain unfamiliar context-dependent phonological alternations. In two experiments, French participants listen to short stories read in accented speech. Their knowledge of the accents is then tested in a forced-choice identification task. In Experiment 1, two groups of listeners are exposed to newly created French accents in which certain vowels harmonize or disharmonize, respectively, to the rounding of the preceding vowel. Despite the cross-linguistic predominance of vowel harmony over disharmony, the two groups adapt equally well to both accents, suggesting that this typological difference is not reflected in perceptual learning. Experiment 2 further explores the mechanism underlying this type of phonological learning. Participants are exposed to an accent in which some vowels harmonize and others disharmonize, yielding an increased featural complexity. They adapt less well to this regularity, showing that adaptation to novel accents involves feature-based inferences.
Publisher Elsevier
ISSN/ISBN 0364-0213 ; 1551-6709
edoc-URL http://edoc.unibas.ch/50761/
Full Text on edoc No
Digital Object Identifier DOI 10.1111/j.1551-6709.2010.01152.x
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/21429003
ISI-Number 000287197800005
Document type (ISI) Journal Article
 
   

MCSS v5.8 PRO. 0.360 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
25/04/2024