Purpose: ParAlg (Paraphasia Algorithms) is a software that automatically categorizes a person with aphasia's naming error (paraphasia) in relation to its intended target on a picture-naming test. These classifications (based on lexicality as well as semantic, phonological, and morphological similarity to the target) are important for…

Purpose: Our purpose was to study strategy use during nonlinguistic category learning in aphasia. Method: Twelve control participants without aphasia and 53 participants with aphasia (PWA) completed a computerized feedback-based category learning task consisting of training and testing phases. Accuracy rates of categorization in testing phases…

The use of a traditional syndrome-classification system for aphasics is examined critically from the different perspectives of medicine and psychometrics. Medicine views syndromes as dichotomous (present or not present) and necessarily indicative of an underlying pathognomic state or process, and psychometrics sees performances as varying along a…

Two studies of adult aphasia, focusing on phonological disturbances, are presented. In the first study, subjects were 15 adults wit moderate aphasia and five age-matched controls. A variety of speech production and speech perception tests were administered, including tests of syllable discrimination, auditive word-picture matching, articulation,…