Monitoring of language selection errors in switching: Not all about conflict
Number of pages
SourcePLoS One, 13, 11, (2018), article e0200397
Article / Letter to editor
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SW OZ DCC PL
SW OZ DCC AI
SubjectCognitive artificial intelligence; DI-BCB_DCC_Theme 1: Language and Communication; DI-BCB_DCC_Theme 4: Brain Networks and Neuronal Communication; Psycholinguistics
Although bilingual speakers are very good at selectively using one language rather than another, sometimes language selection errors occur. To investigate how bilinguals monitor their speech errors and control their languages in use, we recorded event-related potentials (ERPs) in unbalanced Dutch-English bilingual speakers in a cued language-switching task. We tested the conflict-based monitoring model of Nozari and colleagues by investigating the error-related negativity (ERN) and comparing the effects of the two switching directions (i.e., to the first language, L1 vs. to the second language, L2). Results show that the speakers made more language selection errors when switching from their L2 to the L1 than vice versa. In the EEG, we observed a robust ERN effect following language selection errors compared to correct responses, reflecting monitoring of speech errors. Most interestingly, the ERN effect was enlarged when the speakers were switching to their L2 (less conflict) compared to switching to the L1 (more conflict). Our findings do not support the conflict-based monitoring model. We discuss an alternative account in terms of error prediction and reinforcement learning.
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