A Word-Finding Algorithm with a Dynamic Lexical-Semantic Memory for Patients with Anomia Using a Speech Prosthesis

Kenneth Mark Colby, Daniel Christinaz, Santiago Graham, Roger C. Parkison

Word-finding problems (anomia) are common in brain-damaged patients suffering from various types of aphasia. An algorithm is described which finds words for patients using a portable microprocessor-based speech prosthesis. The data-structures consist of a lexical-semantic memory which becomes reorganized over time depending on usage. The algorithm finds words based on partial information about them which is input by the user.


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