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Competing Biases in Real-Time Sentence Processing Cover

Competing Biases in Real-Time Sentence Processing

By:   
Open Access
|Jul 2026

Figures & Tables

Figure 1

Object and subject analyses in (1) “John remembered the boy…”.

Figure 2

Constraint-based model simulation for sentence (3b).

Figure 3

Log-transformed reading times at the (post-)reflexive and (post-)verb regions in Experiment 1. Error bars are standard errors.

Figure 4

Effect estimates and 95% compatibility intervals at the (post-)reflexive and (post-)verb regions in Experiment 1.

Figure 5

Log-transformed reading times at the (post-)verb regions in Experiment 2. Error bars are standard errors.

Figure 6

Effect estimates and 95% compatibility intervals at the (post-)verb regions in Experiment 2.

Figure 7

Log-transformed reading times at the (post-)verb regions in Experiment 3. Error bars are standard errors.

Figure 8

Effect estimates and 95% compatibility intervals at the (post-)verb regions in Experiment 3.

Figure 9

A proposed parsing process in the complementiser-absent sentence: “John hoped the boy after washing himself in the bathroom took…”.

Table 1

Normalised strengths of the three biases and bias weights in the sentence: “John hoped the boy after washing himself in the bathroom…”.

BIASSUBJECT ANALYSISOBJECT ANALYSISWEIGHT (AFTER)WEIGHT (HIMSELF IN)WEIGHT (THE BATHROOM)
Semantic/Categorial Constraint0.760.241/33/102/10
Selectional Frequency0.940.061/33/102/10
Temporal Adjunct0.020.981/34/106/10
Figure 10

Constraint-based modelling result. Activation values shown are those that reach the thresholds.

DOI: https://doi.org/10.5334/joc.507 | Journal eISSN: 2514-4820
Language: English
Page range: 35 - 35
Submitted on: Nov 20, 2025
Accepted on: Jun 15, 2026
Published on: Jul 1, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Hiroki Fujita, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.