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Updated: Aug 5, 2026

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
Published on: September 5, 2019
From structure to sequence: A multinomial processing tree model of syntactic encoding
Jeremy D Yeaton1,2, Grant M Walker3, Danielle Fahey4
1Department of Language Science, University of California, Irvine, Irvine, CA, 92697, USA. jyeaton@health.ucdavis.edu.
This study introduces a computational model for sentence production, revealing distinct brain regions for hierarchical structure building and linear sequencing. This advances understanding of grammatical encoding and aphasia.
Area of Science:
- Psycholinguistics
- Computational Neuroscience
- Neurolinguistics
Background:
- Sentence production models propose two stages: syntactic structure construction and linearization.
- Existing models lack formal computational implementations.
- Aphasia research highlights syntactic error patterns linked to distinct processing deficits.
Purpose of the Study:
- To introduce a novel computational model (multinomial processing tree) for the two-stage framework of grammatical encoding.
- To explain syntactic error patterns in aphasia using this computational model.
- To investigate the neural substrates associated with distinct stages of syntactic production.
Main Methods:
- Developed a multinomial processing tree (MPT) model to operationalize the two-stage syntactic production framework.
- Analyzed discourse samples from individuals with aphasia, annotating distinct error types.
- Fit the MPT model to estimate individual processing abilities at hierarchical and linear stages.
- Correlated estimated abilities with observed error rates and mapped them to neural substrates using lesion analysis.
Main Results:
- The MPT model successfully estimated individual abilities in hierarchical encoding and linearization.
- Ability estimates correlated significantly with observed syntactic error rates.
- Hierarchical encoding ability localized to the posterior superior temporal sulcus and parietal cortex.
- Linearization ability was linked to posterior inferior frontal regions.
- Omission-related processes mapped to dorsal frontal regions and white matter.
Conclusions:
- Findings support a neurocomputational dissociation between hierarchical and linear stages of grammatical encoding.
- The study provides the first computational instantiation of a two-stage syntactic production model.
- This work bridges formal modeling and lesion analysis to enhance understanding of grammatical encoding architecture and its breakdown in aphasia.
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