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Towards a New Model of Verbal Monitoring Cover

Towards a New Model of Verbal Monitoring

Open Access
|Sep 2020

Figures & Tables

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Figure 1

Self-Monitoring according to the Perceptual Loop Model (Levelt, 1983, 1989).

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Figure 2

Self-Monitoring according to the Conflict Monitoring Model (Nozari, Dell & Schwartz, 2011).

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Figure 3

The Hierarchical State Feedback (HSFC) Model of Self-Monitoring.

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Figure 4

The Forward Model account of Self-Monitoring. Sem is the semantic representation, Syn is the syntactic representation, and Phon is the phonological representation.

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Figure 5

Hierarchical Conflict Model for Self- and Other Monitoring. Speech production and perception have separate words and phonemes, which are tightly connected via links. Arrows indicate the direction of processing.

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Figure 6

Distributions of conflict at the lexical level (based on the difference between the two nodes with the highest activation) for trials that result in corrects (top panel) and semantic errors (bottom panel). Corrects based on 9,768 trials, semantic errors based on 216 trials.

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Figure 7

Panels A and C. Reduction in semantic and all errors for each combination of gain and time steps for criterion values of 4.96 and 5.25 respectively. Negative bars mean that the intervention reduced number of errors. Panels B and D. Proportions of successfully repaired errors for each parameter combination.

Table 1

Comparison of different repair models.

Change in error rate (%)
SemanticTotalSuccessful repairs (%)
Gain model (gain = 3)–35.2–31.085.5
Feature layer (mf = 3)–33.8–29.784.3
Target features (fr = .03)–37.0–32.286.7

[i] Note: Criterion = 4.96, one extra time step. Each model run 10,000 times.

DOI: https://doi.org/10.5334/joc.81 | Journal eISSN: 2514-4820
Language: English
Submitted on: Jul 14, 2018
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Accepted on: Aug 12, 2019
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Published on: Sep 3, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Hanna S. Gauvin, Robert J Hartsuiker, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.