Neural correlates of processing active and passive sentences : proficiency-dependent event-related potential evidence in Chinese English foreign language learners
Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved..
We explored whether and to what extent the neural mechanisms of second language sentence processing resemble those of native speakers by investigating the temporal dynamics of syntactic processing in terms of active or passive voice in reading English sentences by Chinese English Foreign Language (EFL) learners with high or low English proficiency. Participants were divided into two groups based on their proficiency levels in English. Three types of sentences (active, passive and ungrammatical) were presented to participants when their event-related potential responses were recorded at the verbs and the final words. The results showed that high-proficiency participants exhibited a greater anterior negativity at the verb position for ungrammatical sentences compared to active sentences. Furthermore, passive sentences elicited a larger frontal positivity than active sentences at the final word position. Additionally, greater P600 effects were observed for both passive and ungrammatical sentences than active sentences at the final word. The low-proficiency group exhibited a greater anterior negativity at the verb (but not the final word) position. In conclusion, these findings emphasize the role of proficiency as a modulating factor in the processing of English active and passive sentences among Chinese EFL learners. Furthermore, the processing of English active and passive sentences by these learners can be conceptualized as a three-stage process: prediction, correction and integration, representing the underlying cognitive mechanisms. This study provides novel insights into the understanding of the cognitive mechanism involved in second language sentence processing.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2024 |
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Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:35 |
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Enthalten in: |
Neuroreport - 35(2024), 5 vom: 20. März, Seite 337-342 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Wang, Tao [VerfasserIn] |
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Anmerkungen: |
Date Completed 01.04.2024 Date Revised 01.04.2024 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1097/WNR.0000000000002014 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM368978516 |
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520 | |a We explored whether and to what extent the neural mechanisms of second language sentence processing resemble those of native speakers by investigating the temporal dynamics of syntactic processing in terms of active or passive voice in reading English sentences by Chinese English Foreign Language (EFL) learners with high or low English proficiency. Participants were divided into two groups based on their proficiency levels in English. Three types of sentences (active, passive and ungrammatical) were presented to participants when their event-related potential responses were recorded at the verbs and the final words. The results showed that high-proficiency participants exhibited a greater anterior negativity at the verb position for ungrammatical sentences compared to active sentences. Furthermore, passive sentences elicited a larger frontal positivity than active sentences at the final word position. Additionally, greater P600 effects were observed for both passive and ungrammatical sentences than active sentences at the final word. The low-proficiency group exhibited a greater anterior negativity at the verb (but not the final word) position. In conclusion, these findings emphasize the role of proficiency as a modulating factor in the processing of English active and passive sentences among Chinese EFL learners. Furthermore, the processing of English active and passive sentences by these learners can be conceptualized as a three-stage process: prediction, correction and integration, representing the underlying cognitive mechanisms. This study provides novel insights into the understanding of the cognitive mechanism involved in second language sentence processing | ||
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