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Asymmetries in the perception of non-native consonantal and vocalic length contrasts

Datos Bibliográficos

ID11655992
AutoresHeidi Altmann (Universität Würzburg, Germany, autor de correspondencia), Irena Berger (University of Konstanz), Bettina Braun (0000-0002-7696-3255, University of Konstanz)
Año2012
Volumen28
Número4
Páginas387-413
Fecha de publicación2012-10-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSecond language Research (JOURNAL)
Identificadores de la revistaISSN: 0267-6583 • E-ISSN: 1477-0326
EditorialSAGE Publishing (PUBLISHER • US)
DOI10.1177/0267658312456544
OpenAlexW2010423718
IdiomaEN
Citas recibidas16
Referencias citadas77

How well can non-native length contrasts for vowels and for consonants be perceived and is one type more difficult than the other? Three listener groups (native Italian and German as well as advanced German learners of Italian) performed a speeded same–different task involving vocalic and consonantal length contrasts as well as segmental contrasts as controls. Phonologically, Italian, but not German, has a consonantal length contrast, while German, but not Italian, has a vocalic length contrast. Analysis of responses yielded a clear asymmetry: A non-native vowel length contrast was perceived just as well as the native consonantal length contrast. A non-native consonantal length contrast, however, was perceived poorly compared to the native vocalic length contrast: Italians showed higher sensitivity for consonantal length than German learners of Italian, who in turn were better than German non-learners. Reaction time analyses indicated that, despite displaying higher accuracy, the decision was just as difficult for learners as for non-learners, suggesting different types of difficulty for listeners with and without experience with a consonantal length contrast

Contrast (vision · German · Linguistics · Perception · Variation (astronomy · Vowel · Vowel length · Computer Science · Linguistic Variation and Morphology · Philosophy · Phonetics and Phonology Research · Psychology · Speech and Audio Processing · Artificial Intelligence

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Obras citantes distintas16
Citas por año1,33
Intervalo de citas2014 - 2026 (13)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 15
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