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Updated: Jun 27, 2026

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
Published on: June 29, 2021
Does letter position coding depend on consonant/vowel status? Evidence with the masked priming technique
1Departamento de Metodología, Facultad de Psicologia, Universitat de València, Av. Blasco Ibáñez. 21, 46010 Valencia, Spain. mperea@valencia.edu
Transposed-letter priming effects differ between consonants and vowels in lexical decision tasks but not in same-different tasks. This suggests the consonant/vowel dissociation is task-specific, impacting models of visual word recognition.
Area of Science:
- Cognitive Psychology
- Psycholinguistics
- Computational Linguistics
Background:
- Existing computational models of visual word recognition capture transposed-letter priming.
- These models do not differentiate processing between vowels and consonants.
- Prior research indicates transposed-letter priming effects are absent for vowel transpositions in lexical decision tasks.
Purpose of the Study:
- To investigate whether the consonant/vowel dissociation in transposed-letter priming is task-specific.
- To test the implications of this dissociation for computational models of visual word recognition.
Main Methods:
- Four masked priming experiments were conducted.
- Experiment 1 utilized a lexical decision task.
- Experiments 2-4 employed a same-different task, targeting early perceptual processes.
Main Results:
- A transposed-letter priming effect was observed only for consonant transpositions in the lexical decision task.
- A robust transposed-letter priming effect, irrespective of consonant or vowel status, was found in the same-different task.
- No interaction between consonant/vowel status and transposed-letter priming was detected in the same-different task.
Conclusions:
- The consonant/vowel dissociation in transposed-letter priming is task-specific.
- Findings challenge current input coding schemes that do not account for vowel/consonant processing differences.
- Results provide crucial insights into the front-end processing stages of visual word recognition models.
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