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Statistical Regularities Affect the Perception of Second Language Speech

Evidence From Adult Classroom Learners of Mandarin Chinese

Dados Bibliográficos

ID4787645
AutoresSeth Wiener (0000-0002-7383-3682, Carnegie Mellon University, autor correspondente), Chao‐yang Lee (0000-0002-4593-7142, Ohio University), Liang Tao (0000-0002-0533-980X, Ohio University)
Ano2019
Volume69
Fascículo3
Páginas527-558
Data de publicação2019-09-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoLanguage Learning (JOURNAL)
Identificadores do periódicoISSN: 0023-8333 • E-ISSN: 1467-9922
EditoraWiley (PUBLISHER • GB)
DOI10.1111/lang.12342
OpenAlexW2916450710
IdiomaEN
Citações recebidas10
Referências citadas93

This study investigated how adult second language (L2) learners of Mandarin Chinese use knowledge of phonological and lexical statistical regularities when acoustic information is insufficient for word recognition. A gating task was used to test intermediate L2 learners at two time points across a semester of classroom learning. Native Mandarin speakers (tested once) served as a control group. Mixed-effects modeling revealed that upon hearing truncated speech, L2 learners, like native speakers, identified high token frequency syllable-tone combinations more accurately than low token frequency syllable-tone combinations. Error analysis of correct syllable/incorrect tone responses revealed that native speakers made specific probability-based errors. L2 learners primarily demonstrated more acoustic-based errors but exhibited a trend toward greater probability-based errors during the second test. These findings are interpreted in light of L2 speech learning models that emphasize a statistical learning mechanism.Open PracticesThis article has been awarded an Open Materials badge. All materials are publicly accessible via the Open Science Framework athttps://osf.io/c4zn6. Learn more about the Open Practices badges from the Center for Open Science:https://osf.io/tvyxz/wiki

Linguistics · Mandarin Chinese · Perception · Second language · Speech recognition · Syllable · Tone (literature) · Blind Source Separation Techniques · Computer Science · Phonetics and Phonology Research · Psychology · Speech and dialogue systems

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Obras citantes distintas10
Citações por ano1,67
Intervalo de citações2020 - 2026 (7)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 10
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