Shared features dominate semantic richness effects for concrete concepts

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Shared Features Dominate Semantic Richness Effects for Concrete Concepts.

When asked to list semantic features for concrete concepts, participants list many features for some concepts and few for others. Concepts with many semantic features are processed faster in lexical and semantic decision tasks (Pexman, Holyk, & Monfils, 2003; Pexman, Lupker, & Hino, 2002). Using both lexical and concreteness decision tasks, we provided further insight into these number-of-featu...

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Shared Features Dominate The Number-Of-Features Effect

When asked to list semantic features for concrete concepts, participants list many features for some concepts and few for others. Concepts with many semantic features have been reported to be processed faster in lexical decision, naming, and semantic decision tasks (Pexman, Holyk, & Monfils, 2003; Pexman, Lupker, & Hino, 2002). Using a much larger and better controlled set of items in Experimen...

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The semantic richness of a word is multidimensional, and includes dimensions such as semantic neighborhood density, imageability, number of features, and valence. While certain dimensions (e.g., imageability) have been examined in the memory domain, the bulk of semantic richness research has been confined to visual word recognition tasks. Therefore, it is unclear if other dimensions influence m...

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ژورنال

عنوان ژورنال: Journal of Memory and Language

سال: 2009

ISSN: 0749-596X

DOI: 10.1016/j.jml.2008.09.001