TY - JOUR
T1 - Models of errors of omission in aphasic naming
AU - Dell, Gary S.
AU - Lawler, Elisa N.
AU - Harris, Harlan D.
AU - Gordon, Jean K.
N1 - Funding Information:
This research was supported by DC-00191 (NIH), SBR 98-73450 (NSF), and a post-doctoral award from the National Sciences and Research Council of Canada to Jean Gordon. The authors wish to thank Myrna Schwartz and Adelyn Brecher for providing the breakdowns of the response categories for the profiles from Schwartz and Brecher (2000), and Eleanor Saffran, Nadine Martin, Zenzi Griffin, Prahlad Gupta, Karin Humphreys, Marlene Behrmann, Max Coltheart, and an anonymous reviewer for helpful comments on this work, and Judy Allen for work on the manuscript.
PY - 2004/3
Y1 - 2004/3
N2 - Five computational models of lexical access during production are tested for their ability to account for the distribution of aphasic picture-naming errors. The naming profiles (N = 14) were chosen from the literature to represent patients who make a relatively large number of omission errors. The most successful models combined the damage assumptions of the semantic-phonological model of lexical access (Foygel & Dell, 2000) with a treatment of omission errors as largely independent from overt errors (Ruml, Caramazza, Shelton, & Chialant, 2000). An explanation for the occurrence of omission errors was provided by the addition of a lexical-threshold parameter (Laine, Tikkala, & Juhola, 1998) to the model. Suggestions for further testing of these models are introduced, as is a new website that allows other researchers to make use of the models.
AB - Five computational models of lexical access during production are tested for their ability to account for the distribution of aphasic picture-naming errors. The naming profiles (N = 14) were chosen from the literature to represent patients who make a relatively large number of omission errors. The most successful models combined the damage assumptions of the semantic-phonological model of lexical access (Foygel & Dell, 2000) with a treatment of omission errors as largely independent from overt errors (Ruml, Caramazza, Shelton, & Chialant, 2000). An explanation for the occurrence of omission errors was provided by the addition of a lexical-threshold parameter (Laine, Tikkala, & Juhola, 1998) to the model. Suggestions for further testing of these models are introduced, as is a new website that allows other researchers to make use of the models.
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U2 - 10.1080/02643290342000320
DO - 10.1080/02643290342000320
M3 - Review article
C2 - 21038196
AN - SCOPUS:1842576668
SN - 0264-3294
VL - 21
SP - 125
EP - 145
JO - Cognitive Neuropsychology
JF - Cognitive Neuropsychology
IS - 2-4
ER -