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Related Experiment Video

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Dissociation of the Confounding Influences of Expectancy and Integrative Difficulty Residing in Anomalous Sentences in Event-related Potential Studies

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Published on: May 9, 2019

Situated sentence processing: the coordinated interplay account and a neurobehavioral model.

Matthew W Crocker¹, Pia Knoeferle, Marshall R Mayberry

¹Department of Computational Linguistics, Saarland University, 66123 Saarbrücken, Germany. crocker@coli.uni-sb.de

Brain and Language

|May 20, 2009

Summary

Language and vision processing are deeply coordinated, with language guiding attention to visual scenes for comprehension. This coordinated interplay optimizes real-time understanding and embodied experience.

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Area of Science:

Cognitive Science
Neuroscience
Linguistics

Background:

Situated language comprehension involves integrating linguistic meaning with the visual environment.
Previous research suggested a seamless interaction between visual and linguistic representations.
Recent findings indicate a more fundamental coordination between visual and linguistic processing mechanisms.

Purpose of the Study:

To argue for a deeply rooted coordination of visual and linguistic processing mechanisms.
To explore the behavioral and neural correlates of scene-sentence reconciliation during situated comprehension.
To present and validate a connectionist model of the Coordinated Interplay Account (CIA).

Main Methods:

Review of behavioral and neuroscientific findings supporting the CIA's three processing stages.
Description of a connectionist model simulating situated language comprehension.
Analysis of new simulation results correlating with event-related brain potentials (ERPs).

Main Results:

The Coordinated Interplay Account (CIA) proposes that linguistic interpretation directs visual attention.
Behavioral and neuroscientific data support incremental sentence interpretation, language-mediated visual attention, and the influence of visual context.
A connectionist model successfully replicates behavioral findings and correlates with ERP data for linguistic disambiguation using visual context.

Conclusions:

Mechanisms for interpretation, visual attention, and scene apprehension are tightly synchronized.
These mechanisms have co-adapted to optimize real-time visual grounding of spoken language.
This process facilitates the association of linguistic, visual, and motor representations in embodied experience.