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Related Experiment Video

Updated: Jun 23, 2026

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

Is morphological decomposition limited to low-frequency words?

Samantha F McCormick¹, Marc Brysbaert, Kathleen Rastle

¹Royal Holloway, University of London, Egham, Surrey TW20 0EX, UK.

Quarterly Journal of Experimental Psychology (2006)

|May 7, 2009

Summary

Morphological decomposition is an automatic process applied to all word forms, regardless of frequency. This research confirms that even high-frequency words undergo decomposition, supporting a universal model of word recognition.

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Published on: February 15, 2017

Area of Science:

Psycholinguistics
Cognitive Science
Computational Linguistics

Background:

The automaticity of morphological decomposition in word recognition is debated.
Previous research primarily tested low-frequency and nonword primes.
Models differ on whether high-frequency words are processed holistically or decomposed.

Purpose of the Study:

To investigate whether high-frequency complex words also undergo masked priming.
To test the universality of automatic morphological decomposition.
To compare priming effects across nonwords, low-frequency words, and high-frequency words.

Main Methods:

Masked priming experiments were conducted.
Primes included morphologically structured nonwords, low-frequency words (2/million), and high-frequency words (60/million).
Priming effects were measured for each condition.

Main Results:

Significant masked priming effects were observed for all three prime types: nonwords, low-frequency words, and high-frequency words.
The magnitude of priming effects was equivalent across all conditions.
This suggests a consistent decomposition process.

Conclusions:

Automatic morphological decomposition is a routine process applied to all morphologically structured stimuli, irrespective of word frequency.
Findings support a universal model of word recognition that involves decomposition.
This challenges theories suggesting holistic processing for high-frequency words.