Morphological decomposition in Chinese compound word recognition: Electrophysiological evidence

被引:1
|
作者
Wei, Yanjun [1 ,2 ,3 ]
Niu, Ying [2 ]
Taft, Marcus [2 ,4 ]
Carreiras, Manuel [3 ,5 ,6 ]
机构
[1] Beijing Language & Culture Univ, Key Lab Cognit Sci Language, Minist Educ, Beijing, Peoples R China
[2] Beijing Language & Culture Univ, Ctr Cognit Sci Language, Beijing 100083, Peoples R China
[3] Basque Ctr Cognit Brain & Language, Donostia San Sebastian 20009, Spain
[4] UNSW Sydney, Sch Psychol, Sydney, NSW 2052, Australia
[5] Univ Basque Country UPV EHU, Dept Lengua Vasca & Comunicac, Leioa 48940, Spain
[6] Ikerbasque, Basque Fdn Sci, Bilbao 48013, Spain
基金
中央高校基本科研业务费专项资金资助;
关键词
Chinese compound word; Morphological complexity; Morphological decomposition; Semantic transparency; EEG; SEMANTIC TRANSPARENCY; N400; COMPONENT; REPRESENTATION; CONSTITUENTS; ACTIVATION; FREQUENCY; MORPHEMES; ACCESS;
D O I
10.1016/j.bandl.2023.105267
中图分类号
R36 [病理学]; R76 [耳鼻咽喉科学];
学科分类号
100104 ; 100213 ;
摘要
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 wholeword 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.
引用
收藏
页数:12
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