Literature DB >> 32333935

(A)Symmetry in vowel features in verbs and pseudoverbs: ERP evidence.

Sandra Kotzor1, Beinan Zhou2, Aditi Lahiri3.   

Abstract

This paper examines the processing of height and place contrasts in vowels in words and pseudowords, using mismatch negativity (MMN) to determine firstly whether asymmetries resulting from underlying representations found in the processing of vowels in isolation will remain in a word context and secondly whether there is any difference in the way these phonological differences manifest in pseudowords. The stimuli are two sets of English ablaut verbs and corresponding pseudowords (sit ~ sat/*sif~*saf and get ~ got/*gef~*gof) contrasting in vowel height ([high] vs. [low]) and place of articulation ([coronal] vs. [dorsal]). In line with previous research, the results show a processing asymmetry for place of articulation in both words and nonwords, while different vowel heights result in symmetrical MMN patterns. These findings confirm that an underspecification account provides the best explanation for featural processing and that phonological information is independent of lexical status.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Keywords:  Featural underspecification; Lexical representation; Mismatch negativity; Phonology; Speech processing

Mesh:

Year:  2020        PMID: 32333935     DOI: 10.1016/j.neuropsychologia.2020.107474

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  2 in total

1.  Asymmetric Influence of Vocalic Context on Mandarin Sibilants: Evidence From ERP Studies.

Authors:  Yaxuan Meng; Sandra Kotzor; Chenzi Xu; Hilary S Z Wynne; Aditi Lahiri
Journal:  Front Hum Neurosci       Date:  2021-04-22       Impact factor: 3.169

2.  Mismatch negativity (MMN) as an index of asymmetric processing of consonant duration in fake Mandarin geminates.

Authors:  Yaxuan Meng; Sandra Kotzor; Chenzi Xu; Hilary S Z Wynne; Aditi Lahiri
Journal:  Neuropsychologia       Date:  2021-10-13       Impact factor: 3.139

  2 in total

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