Literature DB >> 22595659

Setting the tone: an ERP investigation of the influences of phonological similarity on spoken word recognition in Mandarin Chinese.

Jeffrey G Malins1, Marc F Joanisse.   

Abstract

We investigated the influences of phonological similarity on the time course of spoken word processing in Mandarin Chinese. Event related potentials were recorded while adult native speakers of Mandarin (N=19) judged whether auditory words matched or mismatched visually presented pictures. Mismatching words were of the following nature: segmental (e.g., picture: hua1 'flower'; sound: hua4 'painting'); cohort (e.g., picture: hua1 'flower'; sound: hui1 'gray'); rhyme (e.g., picture: hua1 'flower'; sound: gua1 'melon'); tonal (e.g., picture: hua1 'flower'; sound: jing1 'whale'); unrelated (e.g., picture: hua1 'flower'; sound: lang2 'wolf'). Expectancy violations in the segmental condition showed an early-going modulation of components (starting at 250 ms post-stimulus onset), suggesting that listeners used tonal information to constrain word recognition as soon as it became available, just like they did with phonemic information in the cohort condition. However, effects were less persistent and more left-lateralized in the segmental than cohort condition, suggesting dissociable cognitive processes underlie access to tonal versus phonemic information. Cohort versus rhyme mismatches showed distinct patterns of modulation which were very similar to what has been observed in English, suggesting onsets and rimes are weighted similarly across the two languages. Last, we did not observe effects for whole-syllable mismatches above and beyond those for mismatches in individual components, suggesting the syllable does not merit a special status in Mandarin spoken word recognition. These results are discussed with respect to modifications needed for existing models to accommodate the tonal languages spoken by a large proportion of the world's speakers.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22595659     DOI: 10.1016/j.neuropsychologia.2012.05.002

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


  15 in total

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2.  The influence of native-language tones on lexical access in the second language.

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3.  The temporal dynamics of first and second language processing: ERPs to spoken words in Mandarin-English bilinguals.

Authors:  Jin Xue; Banban Li; Rong Yan; Jeffrey R Gruen; Tianli Feng; Marc F Joanisse; Jeffrey G Malins
Journal:  Neuropsychologia       Date:  2020-07-17       Impact factor: 3.139

4.  Developmental differences in the influence of phonological similarity on spoken word processing in Mandarin Chinese.

Authors:  Jeffrey G Malins; Danqi Gao; Ran Tao; James R Booth; Hua Shu; Marc F Joanisse; Li Liu; Amy S Desroches
Journal:  Brain Lang       Date:  2014-09-29       Impact factor: 2.381

5.  Encoding lexical tones in jTRACE: a simulation of monosyllabic spoken word recognition in Mandarin Chinese.

Authors:  Lan Shuai; Jeffrey G Malins
Journal:  Behav Res Methods       Date:  2017-02

6.  Database of word-level statistics for Mandarin Chinese (DoWLS-MAN).

Authors:  Karl David Neergaard; Hongzhi Xu; James S German; Chu-Ren Huang
Journal:  Behav Res Methods       Date:  2021-08-17

7.  Perception of Different Tone Contrasts at Sub-Lexical and Lexical Levels by Dutch Learners of Mandarin Chinese.

Authors:  Ting Zou; Johanneke Caspers; Yiya Chen
Journal:  Front Psychol       Date:  2022-06-06

8.  Multi-Talker Speech Promotes Greater Knowledge-Based Spoken Mandarin Word Recognition in First and Second Language Listeners.

Authors:  Seth Wiener; Chao-Yang Lee
Journal:  Front Psychol       Date:  2020-02-20

9.  Task modulation of disyllabic spoken word recognition in Mandarin Chinese: a unimodal ERP study.

Authors:  Xianjun Huang; Jin-Chen Yang; Ruohan Chang; Chunyan Guo
Journal:  Sci Rep       Date:  2016-05-16       Impact factor: 4.379

10.  Neural correlates of intonation and lexical tone in tonal and non-tonal language speakers.

Authors:  Pei-Ju Chien; Angela D Friederici; Gesa Hartwigsen; Daniela Sammler
Journal:  Hum Brain Mapp       Date:  2020-01-20       Impact factor: 5.038

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