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Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
Published on: September 5, 2019
The child the apple eats: processing of argument structure in Mandarin verb-final sentences.
Max Wolpert1,2,3, Jiarui Ao4, Hui Zhang5
1Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Sciences, Zhejiang University, Hangzhou, 310027, China. max.wolpert@zju.edu.cn.
Mandarin Chinese sentence processing relies on multiple cues, not just word order. Coverbs like BA and BEI significantly influence agent selection, challenging previous linguistic models.
Area of Science:
- Linguistics
- Psycholinguistics
- Cognitive Science
Background:
- Mandarin Chinese exhibits flexible word order with minimal morphology, challenging traditional linguistic concepts.
- Understanding argument structure processing in Mandarin is crucial for crosslinguistic psycholinguistic models.
Purpose of the Study:
- To investigate how monolingual Mandarin speakers process argument structure in verb-final sentences.
- To determine the role of word order versus other cues in agent assignment.
- To explore the real-time neural mechanisms underlying Mandarin sentence comprehension.
Main Methods:
- Utilized a forced agent-assignment task with monolingual Mandarin speakers.
- Collected electroencephalography (EEG) data to capture real-time neural processing.
- Analyzed event-related potentials (ERPs) to identify specific processing effects.
Main Results:
- Sentence interpretation was not solely dependent on word order when other cues were absent.
- Coverbs BA and BEI strongly signaled agent selection, but comprehension resulted from multiple interacting cues.
- EEG data revealed that BA and BEI influenced processing before verb onset.
- Role reversal anomalies elicited an N400 effect without a subsequent P600 effect.
Conclusions:
- Mandarin sentence comprehension involves an online, interactive process among various cues.
- Findings challenge linear cue-strength models and support language-specific sentence processing mechanisms.
- This research provides insights into the cognitive architecture of language processing across different languages.
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