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A computational model for studying L1’s effect on L2 speech learning

Abstract Much evidence has shown that first language (L1) plays an important role in the formation of L2 phonological system during second language (L2) learning process. This combines with the fact that different L1s have distinct phonological patterns to indicate the diverse L2 speech learning outcomes for speakers from different L1 backgrounds. This dissertation hypothesizes that phonological distances between accented speech and speakers' L1 speech are also correlated with perceived accentedness, and the correlations are negative for some phonological properties. Moreover, contrastive phonological distinctions between L1s and L2 will manifest themselves in the accented speech produced by speaker from these L1s. To test the hypotheses, this s... (more)
Created Date 2018
Contributor Tu, Ming (Author) / Berisha, Visar (Advisor) / Liss, Julie M (Committee member) / Zhou, Yi (Committee member) / Arizona State University (Publisher)
Subject Linguistics / Electrical engineering / Computer engineering / Automatic speech recognition / Computational model / Computer-aided language learning / Computer-assisted pronunciation training / L1 and L2 interaction / L2 speech learning
Type Doctoral Dissertation
Extent 127 pages
Language English
Note Doctoral Dissertation Speech and Hearing Science 2018
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis