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Autor/inn/enIto, Chiyuki; Feldman, Naomi H.
TitelIterated Learning Models of Language Change: A Case Study of Sino-Korean Accent
QuelleIn: Cognitive Science, 46 (2022) 4, (40 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1551-6709
DOI10.1111/cogs.13115
SchlagwörterDiachronic Linguistics; Sociolinguistics; Comparative Analysis; Models; Language Variation; Korean; Dialects; Pronunciation; Language Research; Language Patterns; Learning Processes; Phonology; Generalization; Syllables; Case Studies
AbstractIterated learning models of language evolution have typically been used to study the emergence of language, rather than historical language change. We use iterated learning models to investigate historical change in the accent classes of two Korean dialects. Simulations reveal that many of the patterns of historical change can be explained as resulting from successive generations of phonotactic learning. Comparisons between different iterated learning models also suggest that Korean learners' phonotactic generalizations are guided by storage of entire syllable-sized units, and provide evidence that perceptual confusions between different forms substantially impacted historical change. This suggests that in addition to accounting for the evolution of broad general characteristics of language, iterated learning models can also provide insight into more detailed patterns of historical language change. (As Provided).
AnmerkungenWiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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