کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
932338 923096 2007 25 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Models of relevant cue integration in name retrieval
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب شناختی
پیش نمایش صفحه اول مقاله
Models of relevant cue integration in name retrieval
چکیده انگلیسی

Semantic features have different levels of importance in indexing a target concept. The article proposes that semantic relevance, an algorithmically derived measure based on concept descriptions, may efficiently capture the relative importance of different semantic features. Three models of how semantic features are integrated in terms of relevance during name retrieval are presented. The models have been contrasted with empirical results from a naming-to-description task administered to three different groups of participants: young people, healthy elderly and semantically impaired Alzheimer patients. Predictions of the empirical results made by the models are used to provide a measure of identifiability or the extent to which the models can be distinguished from one another. In three studies we show that an additive-type rule is consistently superior to multiplicative rule and winner-take-all rule in predicting naming accuracy in a naming-to-description task. Finally, we investigated the implications of the integration rules for degraded semantic knowledge.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Memory and Language - Volume 57, Issue 1, July 2007, Pages 101–125
نویسندگان
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