CASIA OpenIR  > 多模态人工智能系统全国重点实验室  > 自然语言处理
Is the Brain Mechanism for Hierarchical Structure Building Universal Across Languages? An fMRI Study of Chinese and English
Xiaohan Zhang1,2; Shaonan Wang1,2; Nan Lin3,4; Chengqing Zong1,2,5
2022
Conference NameProceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Conference Date2022
Conference PlaceAbu Dhabi, United Arab Emirates
Abstract

Evidence from psycholinguistic studies suggests that the human brain builds a hierarchical syntactic structure during language comprehension. However, it is still unknown whether the neural basis of such structures is universal across languages. In this paper, we first analyze the differences in language structure between two diverse languages: Chinese and English. By computing the working memory requirements when applying parsing strategies to different language structures, we find that top-down parsing generates less memory load for the right-branching English and bottom-up parsing is less memory-demanding for Chinese. Then we use functional magnetic resonance imaging (fMRI) to investigate whether the brain has different syntactic adaptation strategies in processing Chinese and English. Specifically, for both Chinese and English, we extract predictors from the implementations of different parsing strategies, i.e., bottom-up and top-down. Then, these predictors are separately associated with fMRI signals. Results show that for Chinese and English, the brain utilizes bottom-up and top-down parsing strategies separately. These results suggest that the brain adopts parsing strategies with less memory load according to different language structures. 

Indexed ByEI
IS Representative Paper
Sub direction classification自然语言处理
planning direction of the national heavy laboratory语音语言处理
Paper associated data
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/52047
Collection多模态人工智能系统全国重点实验室_自然语言处理
Affiliation1.National Laboratory of Pattern Recognition, Institute of Automation, CAS
2.School of Artificial Intelligence, University of Chinese Academy of Sciences
3.CAS Key Laboratory of Behavioural Sciences, Institute of Psychology
4.Department of Psychology, University of Chinese Academy of Sciences
5.CAS Center for Excellence in Brain Science and Intelligence Technology
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Xiaohan Zhang,Shaonan Wang,Nan Lin,et al. Is the Brain Mechanism for Hierarchical Structure Building Universal Across Languages? An fMRI Study of Chinese and English[C],2022.
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