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Updated: Jan 29, 2026

Cross-Modal Multivariate Pattern Analysis
Published on: November 9, 2011
Perceptual features predict word frequency asymmetry across modalities.
Sin Hang Lau1, Yaqian Huang2, Victor S Ferreira3
1Department of Psychology, University of California, San Diego, La Jolla, CA, USA. aubreylau@ucsd.edu.
Perceptual features like word length affect spoken and written word frequencies differently. This reveals modality-specific processing constraints and challenges theories of word selection.
Area of Science:
- Cognitive Psychology
- Psycholinguistics
- Computational Linguistics
Background:
- Word frequency and perceptual features are key to understanding word production, recognition, and language change.
- Previous research has not extensively compared spoken versus written word frequencies, leaving modality-specific relationships unexplored.
Purpose of the Study:
- To investigate if perceptual features predict frequency differences between spoken and written language.
- To determine if factors like word length, neighborhood density, and positional probability influence modality-specific word frequencies.
Main Methods:
- Analysis of word frequency data across spoken and written modalities.
- Statistical modeling to assess the predictive power of perceptual features on frequency asymmetry.
- Examination of modality-specific effects beyond differences in formality.
Main Results:
- Perceptual features such as length, neighborhood density, and positional probability significantly and differentially impact speech and writing frequencies.
- These modality-specific effects on word frequency are independent of language formality.
- Evidence suggests distinct processing constraints and communicative efficiency considerations for speech versus writing.
Conclusions:
- Perceptual features play a crucial role in shaping word frequencies differently in spoken versus written language.
- Findings challenge theories assuming perceptual equivalence for words of differing frequencies.
- Results argue against models that minimize the influence of perceptual features on word selection processes.
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