Abstract
A single layer higher order dynamic topology neural net called HODYNE is described, targeted at natural language processing problems, HODYNE has an input layer of nodes containing concatenations of words from the input string, and grows nodes during training which are dependent on the training data. The training procedure also has some novel features. Results are presented on the problem of grammaticality determination. The results are encouraging, with almost perfect performance on unseen test sets derived from simple context-free grammars. An important aspect of this work is that the data sets used in training and testing are larger than is common in the research literature.
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