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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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Can a lexical decision task predict efficiency in the judgment of ambiguous sentences?
Paulo Guirro Laurence1,2, Tatiana Matheus Pinto1, Alexandre Tadeu Faé Rosa1,2
1Social and Cognitive Neuroscience Laboratory, Center for Health and Biological Sciences, Mackenzie Presbyterian University, Rua Piaui, no. 181, 10th floor, São Paulo, 01241-001, Brazil.
Summary
This study found that average time on regular words is the only lexical factor predicting reading efficiency. Understanding lexical influences is key to improving semantic comprehension.
Area of Science:
- Cognitive Psychology
- Psycholinguistics
- Reading Science
Background:
- The lexicon is crucial for reading, yet its precise impact on reading efficiency remains unclear.
- Lexical decision tasks (LDT) and semantic decision tasks (SDT) are common experimental paradigms.
Purpose of the Study:
- To identify specific lexical factors from an LDT that predict efficiency in an SDT.
- To explore the relationship between lexical processing and semantic comprehension.
Main Methods:
- 33 university students completed both LDT and SDT.
- Lexical measures from LDT were analyzed for their predictive power on SDT efficiency.
- Eye-tracking measures, including regressive saccades, were recorded.
Main Results:
- Significant differences in LDT measures were observed across word types.
- Only regressive saccades in the SDT showed differences related to sentence type (ambiguous vs. object-related).
- Average time on regular words in LDT predicted 24% of the variance in semantic comprehension efficiency.
Conclusions:
- Average time on regular words is a significant predictor of semantic comprehension efficiency.
- The study highlights the utility of LDT measures for understanding semantic processing.
- Lexical characteristics demonstrably influence higher-level semantic comprehension.
