Coarticulation and learnability of transparent vowels in vowel harmony

Sara Finley

Abstract


The representations of transparent vowels in vowel harmony have been of interest to phonologists because of the challenges they pose for constraints on locality and complexity. One proposal is that transparent vowels in back vowel harmony may be intermediate between front and back. The present study uses two artificial language learning experiments to explore the psychological reality of acoustic differences in transparent vowels in back vs. front vowel contexts. Participants were exposed to a back/round vowel harmony language with a neutral vowel that was spliced so that the F2 was lower in back vowel contexts and higher in front vowel contexts (the Natural condition) or the reverse (the Unnatural condition). While only participants in the Natural condition of Experiment 1 were able to learn the behavior of the transparent vowel relative to a No-Training control, there was no difference between the Natural and Unnatural conditions. In Experiment 2, only participants in the Natural condition learned the vowel harmony pattern, though there were no significant differences between the two conditions. No condition successfully learned the behavior of the transparent vowel in Experiment 2. These results suggest that the effects of small differences in the F2 value of transparent back vowels on learnability are minimal.


Keywords


vowel harmony; transparent vowels; learnability; coarticulation; artificial language learning

Full Text:

PDF


DOI: https://doi.org/10.3765/plsa.v6i1.4949

Copyright (c) 2021 Sara Finley

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Donate to the Open-Access Fund of the LSA

Linguistic Society of America


Advancing the Scientific Study of Language since 1924

ISSN (online): 2473-8689

This publication is made available for free to readers and with no charge to authors thanks in part to your continuing LSA membership and your donations to the open access fund.