作者: Sarah E. Wallace , Mikael D.Z. Kimelman
DOI: 10.3233/NRE-130914
关键词: Chronic disease 、 Word (group theory) 、 Aphasia 、 Semantic feature 、 Generalization 、 Semantics 、 Natural language processing 、 Artificial intelligence 、 Computer 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.