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Morpho-orthographic segmentation without semantics

Overview of attention for article published in Psychonomic Bulletin & Review, August 2015
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Title
Morpho-orthographic segmentation without semantics
Published in
Psychonomic Bulletin & Review, August 2015
DOI 10.3758/s13423-015-0927-z
Pubmed ID
Authors

Elisabeth Beyersmann, Johannes C. Ziegler, Anne Castles, Max Coltheart, Yvette Kezilas, Jonathan Grainger

Abstract

Masked priming studies have repeatedly provided evidence for a form-based morpho-orthographic segmentation mechanism that blindly decomposes any word with the mere appearance of morphological complexity (e.g., corn + er). This account has been called into question by Baayen et al. Psychological Review, 118, 438-482 (2011), who pointed out that the prime words previously tested in the morpho-orthographic condition vary in the extent to which the suffix conveys regular meaning. In the present study, we investigated whether evidence for morpho-orthographic segmentation can be obtained with a set of tightly controlled prime words that are entirely semantically opaque. Using a visual lexical decision task, we compared priming from truly suffixed primes (hunter-HUNT), completely opaque pseudo-suffixed primes (corner-CORN), and non-suffixed primes (cashew-CASH). The results show comparable magnitudes of priming for the truly suffixed and pseudo-suffixed primes, and no priming from non-suffixed primes, and therefore provide further important evidence in support of morpho-orthographic segmentation processes operating in the absence of any possible role for semantics.

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Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 67 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 25%
Researcher 11 16%
Student > Master 8 12%
Professor 4 6%
Professor > Associate Professor 4 6%
Other 12 18%
Unknown 12 18%
Readers by discipline Count As %
Psychology 25 37%
Linguistics 14 21%
Neuroscience 7 10%
Agricultural and Biological Sciences 3 4%
Arts and Humanities 2 3%
Other 4 6%
Unknown 13 19%