ATN, Automata, Expectation

Michael L. Johnson
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Michael L. Johnson: University of Kansas

Chapter 17 in Mind, Language, Machine, 1988, pp 91-98 from Palgrave Macmillan

Abstract: Abstract Of the four knowledge sources necessary to language comprehension as discussed by Rumeihart, the syntactic has been of greatest interest in man-machine comparative studies — largely because, of the four, it is the one most easily subject to productive model-building, though there is much controversy concerning how it is structured and used in human language processing. None the less, a powerful modelling tool has been developed by Rumelhart and others: the augmented transition network (ATN). A consideration of ATN research foregrounds many of the key issues in comparative studies, with regard not only to syntactic knowledge but, to a lesser extent, to the other kinds as well.

Date: 1988
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DOI: 10.1007/978-1-349-19404-9_17

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