Archives of Acoustics, 32, 1, pp. 111–117, 2007

Generalization in context sensitive grammars

Adam Mickiewicz University, Institute of Linguistics

An alternative to the recognition systems used so far can be systems based on context sensitive grammars. A precondition for success will be an implementation with great capacity for generalization. We propose three methods of generalization based on the assumption that similar stimuli invoke similar or identical reactions.
Keywords: decision trees, supervised learning, generalization methods
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