Literature DB >> 33716906

An ERP Study on the Role of Phonological Processing in Reading Two-Character Compound Chinese Words of High and Low Frequency.

Yuling Wang1, Minghu Jiang1, Yunlong Huang2, Peijun Qiu3,4.   

Abstract

Unlike in English, the role of phonology in word recognition in Chinese is unclear. In this event-related potential experiment, we investigated the role of phonology in reading both high- and low-frequency two-character compound Chinese words. Participants executed semantic and homophone judgment tasks of the same precede-target pairs. Each pair of either high- or low-frequency words were either unrelated (control condition) or related semantically or phonologically (homophones). The induced P200 component was greater for low- than for high-frequency word-pairs both in semantic and phonological tasks. Homophones in the semantic judgment task and semantically-related words in the phonology task both elicited a smaller N400 than the control condition, word frequency-independently. However, for low-frequency words in the phonological judgment task, it was found that the semantically related pairs released a significantly larger P200 than the control condition. Thus, the semantic activation of both high- and low-frequency words may be no later than phonological activation.
Copyright © 2021 Wang, Jiang, Huang and Qiu.

Entities:  

Keywords:  Chinese word recognition; N400; P200; homophonic; word frequency

Year:  2021        PMID: 33716906      PMCID: PMC7947322          DOI: 10.3389/fpsyg.2021.637238

Source DB:  PubMed          Journal:  Front Psychol        ISSN: 1664-1078


  48 in total

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Journal:  Mem Cognit       Date:  2005-04

8.  Prosodic phonological representations early in visual word recognition.

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Journal:  J Exp Psychol Hum Percept Perform       Date:  2008-02       Impact factor: 3.332

9.  From orthography to meaning: an electrophysiological investigation of the role of phonology in accessing meaning of Chinese single-character words.

Authors:  K Wang; A Mecklinger; J Hofmann; X Weng
Journal:  Neuroscience       Date:  2009-10-02       Impact factor: 3.590

10.  Modelling the N400 brain potential as change in a probabilistic representation of meaning.

Authors:  Milena Rabovsky; Steven S Hansen; James L McClelland
Journal:  Nat Hum Behav       Date:  2018-08-27
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  2 in total

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  2 in total

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