Abstract
Aphasic disorders may be observed both in patients with vascular and neurodegenerative pathology. Although spontaneous speech in the various forms of aphasia has some features identifiable on a purely linguistic level, the diagnosis of type of aphasia critically relies on the support of clinical and neuroimaging data. To identify some core characteristics of different types of fluent aphasias in patients' spontaneous speech based on computer assisted qualitative analyses through T-LAB, a mixed-method software which allows -through linguistic, statistical, and graphical tools- to explore narratives highlighting their key features.
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