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Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
Published on: September 5, 2019
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Predictability eliminates neighborhood effects during Chinese sentence reading
Panpan Yao1, Adrian Staub2, Xingshan Li3
1CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing, China.
Psychonomic Bulletin & Review
|July 14, 2021
Summary
Contextual predictability eliminates neighborhood effects in Chinese word recognition. When a word is predictable, its neighbors do not interfere with recognition, unlike in unpredictable contexts.
Area of Science:
- Psycholinguistics
- Cognitive Science
- Computational Linguistics
Background:
- Orthographic neighborhood size and neighbor frequency influence Chinese word recognition.
- Larger neighborhoods facilitate recognition, while high-frequency neighbors inhibit it.
Purpose of the Study:
- To investigate how word predictability in context modulates neighborhood effects in Chinese word recognition.
- To examine the interaction between contextual predictability and orthographic neighborhood characteristics.
Main Methods:
- Two eye-movement experiments were conducted using Chinese sentences.
- Target words were manipulated for neighborhood size (Experiment 1) and neighbor frequency (Experiment 2).
- Contextual predictability of target words was systematically varied.
Main Results:
- Previously observed effects of neighborhood size and neighbor frequency were replicated in unpredictable contexts.
- These neighborhood effects disappeared when the target word was highly predictable.
- Contextual preactivation appears to reduce the competition from orthographic neighbors.
Conclusions:
- Contextual predictability plays a crucial role in modulating orthographic neighborhood effects.
- When a word is predictable, its neighbors are less likely to interfere with its recognition.
- These findings suggest a dynamic interaction between lexical access and contextual integration in reading.
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