Adaptation to Novel Accents: Feature-Based Learning of Context-Sensitive Phonological Regularities

Cognitive Science 35 (2):348-366 (2011)
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
Keywords Phonological learning  Features  Accents  Speech perception  Dialects
Categories (categorize this paper)
Options
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history Request removal from index
 
Download options
PhilPapers Archive


Upload a copy of this paper     Check publisher's policy on self-archival     Papers currently archived: 11,819
External links
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library
References found in this work BETA
Citations of this work BETA
Similar books and articles
Axel Cleeremans (1998). Implicit Learning. Trends in Cognitive Sciences 2 (10):406-416.
Michail Lotman (2000). Russian verse. Sign Systems Studies 28:217-240.
Analytics

Monthly downloads

Added to index

2010-11-30

Total downloads

8 ( #176,813 of 1,099,942 )

Recent downloads (6 months)

1 ( #304,017 of 1,099,942 )

How can I increase my downloads?

My notes
Sign in to use this feature


Discussion
Start a new thread
Order:
There  are no threads in this forum
Nothing in this forum yet.