2015
DOI: 10.1037/a0038392
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Superset versus substitution-letter priming: An evaluation of open-bigram models.

Abstract: In recent years, a number of models of orthographic coding have been proposed in which the orthographic code consists of a set of units representing bigrams (open-bigram models). Three masked priming experiments were undertaken in an attempt to evaluate this idea: a conventional masked priming experiment, a sandwich priming experiment (Lupker & Davis, 2009) and an experiment involving a masked prime same-different task (Norris & Kinoshita, 2008). Three prime types were used, first-letter superset primes (e.g.,… Show more

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Cited by 17 publications
(36 citation statements)
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“…There have now been a number of attempts to adjudicate between these families of models (e.g., Lupker & Davis, 2008;Lupker, Zhang, Perry, & Davis, 2015;Whitney, Bertrand, & Grainger, 2012). Most have involved the masked priming paradigm (Forster & Davis, 1984) along with the lexical decision task with the question being, does the pattern of priming effects observed more closely mirror the predictions of the noisy representation models or open bigram models?…”
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confidence: 99%
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“…There have now been a number of attempts to adjudicate between these families of models (e.g., Lupker & Davis, 2008;Lupker, Zhang, Perry, & Davis, 2015;Whitney, Bertrand, & Grainger, 2012). Most have involved the masked priming paradigm (Forster & Davis, 1984) along with the lexical decision task with the question being, does the pattern of priming effects observed more closely mirror the predictions of the noisy representation models or open bigram models?…”
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confidence: 99%
“…At present, we know of only one comparison of the sandwich priming, lexical decision task and the masked prime same-different task (Lupker et al, 2015). In those experiments, three different types of orthographically related primes were used (that were not related to their targets either semantically or morphologically).…”
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confidence: 99%
“…The SCM is a localist model of visual word recognition that can simulate a broad range of findings in visual word recognition (e.g., Davis, 2010;Lupker, Zhang, Perry, & Davis, 2015;Stinchcombe, Lupker, & Davis, 2012). Published simulations of the model have used a vocabulary of 30,605 English words, comprising all words of between two and ten letters with frequencies of occurrence of greater than 0.34 per million in the Celex English Corpus Types corpus (Baayen, Piepenbrock, & van Rijn, 1995).…”
Section: Simulationmentioning
confidence: 99%
“…For these reasons, the sandwich priming procedure has already been employed in several studies researching orthographic processes so far (e.g. Ktori, Grainger, Dufau, & Holcomb, 2012;Ktori, Kingma, Hannagan, Holcomb, & Grainger, 2014;Lupker, Zhang, Perry, & Davis, 2015).…”
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confidence: 99%