It's about time! Time as a parameter for lexical and syntactic processing: an eye-tracking-while-listening...

Area of Science:

• Psycholinguistics
• Cognitive Neuroscience
• Computational Linguistics

Background:

• Online sentence processing involves intricate lexical activation and syntactic dependency linking.
• Temporal constraints significantly influence the efficiency of language comprehension.
• Object-relative clauses pose processing challenges due to their complex structure.

Purpose of the Study:

• To investigate the temporal dynamics of lexical activation, deactivation, and dependency linking.
• To examine how temporal manipulations affect the processing of object-relative sentences.
• To understand the role of deactivation in mitigating interference during complex sentence comprehension.

Main Methods:

• Utilizing eye-tracking-while-listening to monitor real-time processing.
• Implementing three temporal manipulations: increased noun duration, disfluency insertion ('uh'), and silent pauses.
• Analyzing fixation patterns and reading times to infer cognitive processes.

Main Results:

• Temporal manipulations, specifically disfluencies and silent pauses, enhanced noun phrase processing.
• These manipulations modulated lexical activation and deactivation patterns.
• The time-course of dependency linking was altered, showing increased reactivation of the direct object.

Conclusions:

• Deactivation plays a crucial role in managing interference and facilitating complex sentence processing.
• Temporal cues in language input can be leveraged to improve comprehension.
• Findings suggest flexible activation dynamics are key to efficient syntactic integration.