Automated classification of phonological errors in aphasic language

Using heuristically guided state space search, a prototype program has bee developed to simulate and classify phonemic errors occuring in the speech of neurologically impaired patients. Simulations are based on an interchangeable rule/operator set of elementary errors which represent a theory of pho...

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Bibliographic Details
Published inComputer methods and programs in biomedicine Vol. 21; no. 2; pp. 133 - 141
Main Authors Ahuja, Sanjeev B., Reggia, James A., Berndt, Rita S.
Format Journal Article
LanguageEnglish
Published Ireland Elsevier Ireland Ltd 01.11.1985
Subjects
Aphasia - classification
Aphasia - physiopathology
Artificial intelligence
Computers
Humans
Modelling
Neurology
Phonetics
Rule-based systems
Simulation
Software
Neurology
Rule-based systems
Modelling
Simulation
Artificial intelligence
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Summary:Using heuristically guided state space search, a prototype program has bee developed to simulate and classify phonemic errors occuring in the speech of neurologically impaired patients. Simulations are based on an interchangeable rule/operator set of elementary errors which represent a theory of phonemic processing faults. This work is significant because it introduces and evaluates a novel approach to error simulation and classification, provides a prototype simulation tool for neurolinguistic research, and forms the initial phase of a larger research effort involving computer modelling of neurolinguistic processes.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0169-2607
1872-7565
DOI:10.1016/0169-2607(85)90074-4