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Updated: Apr 24, 2026

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
Published on: September 5, 2019
The missing link in the embodiment of syntax: prosody.
Hamutal Kreiner1, Zohar Eviatar2
1Institute of Information Processing and Decision Making, Haifa University, Israel; Linguistic Cognition Lab, Ruppin Academic Center, Israel.
Embodied linguistics explains word meaning through action-perception simulation. We propose prosody as key to linking syntax, experience, and brain function by analyzing speech
Area of Science:
- Cognitive Science
- Neuroscience
- Linguistics
Background:
- Traditional neurolinguistic theories rely on amodal abstract representations.
- Embodied linguistics posits a link between linguistic representation, experience, and brain activity.
- Action-perception simulation explains embodied word representation but struggles with syntactic abstractions.
Purpose of the Study:
- To propose prosody as the missing link in embodied linguistics.
- To integrate psycholinguistic and neurocognitive findings into a novel embodiment approach.
- To establish a novel implementation of the syntax-experience-brain relationship.
Main Methods:
- Review of existing embodiment models.
- Integration of psycholinguistic and neurocognitive studies.
- Proposal of a mapping between prosody's temporo-spectral aspects and neural population activity.
Main Results:
- Prosody, a sensory-motor phenomenon, can evoke action-perception simulation.
- This simulation can underpin the syntax-experience-brain association.
- A novel mapping is proposed between speech prosody and neural synchronization patterns.
Conclusions:
- Prosody serves as a crucial link for understanding linguistic embodiment, particularly for syntax.
- The proposed model offers a new framework for psycho- and neurolinguistic research.
- Further investigation into the temporo-spectral mapping of prosody and neural activity is warranted.
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09:27Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
Published on: October 13, 2018
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