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Is morphological decomposition limited to low-frequency words?

Authors: McCormick, Samantha F.; Brysbaert, Marc; Rastle, Kathy;

Is morphological decomposition limited to low-frequency words?

Abstract

On the basis of data from masked priming experiments, it has been argued that an automatic process of decomposition is applied to all morphologically structured stimuli, irrespective of their lexical characteristics (Rastle, Davis, & New, 2004). So far, this claim has been tested only with respect to low-frequency primes and nonword primes. This is a limitation because some models of morphological processing postulate that only high-frequency complex words are recognized as whole forms. Thus, a more stringent test would be to determine whether high-frequency complex words also show evidence of masked priming. We report an experiment that compares masked-priming effects observed when the primes constitute morphologically structured nonwords (e.g., alarmer-ALARM), low-frequency words with a mean frequency of 2 per million (e.g., notional-NOTION), and high-frequency words with a mean frequency of 60 per million (e.g., national-NATION). These three conditions yielded significant and equivalent effects, lending strong support to the notion of a routine form of decomposition that is applied to all morphologically structured stimuli.

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Belgium, United Kingdom
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Keywords

Faculty of Science\Psychology, ENGLISH, Analysis of Variance, 150, RECOGNITION, Social Sciences, Morphological processing, Recognition, Psychology, DUTCH, Verbal Learning, Vocabulary, Association, Reading, Pattern Recognition, Visual, Reaction Time, Masked priming, Humans, Visual word recognition, MORPHO-ORTHOGRAPHIC SEGMENTATION, Perceptual Masking, Photic Stimulation, Dual-route models

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Average
Green