Generalization of Word Retrieval Following Semantic Feature Treatment

作者: Sarah E. Wallace , Mikael D.Z. Kimelman

DOI: 10.3233/NRE-130914

关键词: Chronic diseaseWord (group theory)AphasiaSemantic featureGeneralizationSemanticsNatural language processingArtificial intelligenceComputer science

摘要: The purpose of this research was to analyze generalization effects following semantic feature treatment (SFT) for aphasia. effectiveness SFT at improving accuracy and speed word retrieval, untreated words discourse tasks the influence shared features examined. three participants improved in retrieval treated words. Accuracy two participants; with slightly more than no-shared features. Two showed variable accurate responses. Clinical implications future directions are discussed.

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