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Updated: Nov 16, 2025

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
Published on: September 5, 2019
Context but not reading speed modulates transposed-word effects in Chinese reading
Zhiwei Liu1, Yan Li1, Jingxin Wang2
1Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 330374, China; School of Education and Psychology, Sichuan University of Science & Engineering, Zigong 643000, Sichuan, China.
Transposed-word effects in Chinese reading are not affected by reading speed but are modulated by sentence context. Contextual information influences how word order flexibility impacts sentence comprehension.
Area of Science:
- Cognitive Psychology
- Psycholinguistics
- Reading Research
Background:
- Transposed-word effects, observed in alphabetic and nonalphabetic languages, indicate flexibility in word order processing.
- Factors influencing transposed-word effects, particularly in Chinese reading, remain largely unexplored.
Purpose of the Study:
- To investigate whether reading speed or sentence context modulates transposed-word effects in Chinese.
- To understand the interplay between bottom-up word processing and top-down contextual constraints during reading.
Main Methods:
- A within-subjects design was employed in Chinese reading.
- Experiment 1: Participants performed speeded grammaticality decisions at normal and fast reading speeds.
- Experiment 2: Manipulated sentence context preceding transposed words, using a speeded grammaticality decision task.
Main Results:
- No significant interaction was found between transposed-word effects and reading speed.
- Significant interactive effects between transposed-word effects and context were observed.
- Transposed-word effects diminished when words were transposed early in a sentence, indicating context dependency.
Conclusions:
- Reading speed does not modulate transposed-word effects in Chinese.
- Sentence context significantly influences transposed-word effects, suggesting top-down constraints play a crucial role.
- Findings support models of reading that incorporate both noisy bottom-up word identification and sentence-level contextual influences.
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