Semantic and Syntactic Processing During Comprehension: ERP Evidence From Chinese QING Structure

Frontiers in Human Neuroscience

Siqin Yang¹  Yeyi Cai¹  Minghu Jiang¹  Wen Xie² 

[1] Center for Psychology and Cognitive Science, Tsinghua University, Beijing, China;Department of Politics and International Relations, University of Oxford, Oxford, United Kingdom;

关键词: Chinese;    sentence;    semantic;    syntactic;    ERPs;    N400;   

DOI  :  10.3389/fnhum.2021.701923

来源: DOAJ

【 摘 要 】

Previous studies used BA and BEI structures as stimuli to infer that syntax-first models seemed not applicable in Chinese. However, there were inconsistent results of both within same structures and between different structures. Since sentence structures of stimuli were non-canonical as well as lacking wide representativeness in Chinese, we examined the processing mechanism of a more representative structure in Chinese, QING (QING + NP1 + V + NP2) structure in the current study. Four conditions, including correct sentences (CORRECT), semantic-violated sentences (SEMANTIC), syntactic-violated sentences (SYNTACTIC), and combined violated sentences (COMBINED), were composed by manipulating the V between NP1 and NP2. Results with respect to three types of violation were as follows. In the initial phrase (100–300 ms), there existed an interaction between SEMANTIC consistency and the SYNTACTIC category. In the intermediate phrase (300–500 ms), the interaction continued with similar negative waves evoked by three types of violated sentences. In the final phrase (500–700 ms), both SYNTACTIC or COMBINED evoked obvious negative waves. The current research of Qing structure provided new evidence for the processing mechanism of Chinese sentence patterns. Specifically, we found that the interactive model rather than the syntax-first model may apply to the processing of this specific structure of Chinese sentences and compared the results with those reported in previous studies that examined other types of sentence structures.

【 授权许可】

Unknown