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Morphological decomposition in Chinese compound word recognition: Electrophysiological evidence.
Wei, Yanjun; Niu, Ying; Taft, Marcus; Carreiras, Manuel.
Affiliation
  • Wei Y; Key Laboratory of the Cognitive Science of Language (Beijing Language and Culture University), Ministry of Education, China; Center for the Cognitive Science of Language, Beijing Language and Culture University, 100083 Beijing, China; Basque Center on Cognition, Brain and Language, 20009 Donostia-Sa
  • Niu Y; Center for the Cognitive Science of Language, Beijing Language and Culture University, 100083 Beijing, China.
  • Taft M; Center for the Cognitive Science of Language, Beijing Language and Culture University, 100083 Beijing, China; School of Psychology, UNSW Sydney, NSW 2052, Australia.
  • Carreiras M; Basque Center on Cognition, Brain and Language, 20009 Donostia-San Sebastián, Spain; Departamento de Lengua Vasca y Comunicación, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain; Ikerbasque, Basque Foundation for Science, 48013 Bilbao, Spain.
Brain Lang ; 241: 105267, 2023 06.
Article in En | MEDLINE | ID: mdl-37121022
ABSTRACT
The present study examined the effect of both morphological complexity and semantic transparency in Chinese compound word recognition. Using a visual lexical decision task, our electrophysiological results showed that transparent and opaque compounds induced stronger Left Anterior Negativity (LAN) than monomorphemic words. This result suggests that Chinese compounds might be decomposed into their constituent morphemes at the lemma level, whereas monomorphemic words are accessed as a whole-word lemma directly from the form level. In addition, transparent and opaque compounds produced a similar N400 as each other, suggesting that transparency did not show an effect on the involvement of constituent morphemes during access to the whole-word lemma. Two behavioral experiments additionally showed similar patterns to the EEG results. These findings support morphological decomposition for compounds at the lemma level as proposed by the full-parsing model, and no evidence is found to support the role of transparency during Chinese compound word recognition.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Vocabulary / Electroencephalography / Language Type of study: Prognostic_studies Limits: Humans Language: En Journal: Brain Lang Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Vocabulary / Electroencephalography / Language Type of study: Prognostic_studies Limits: Humans Language: En Journal: Brain Lang Year: 2023 Document type: Article