Word Hy-phen-a-tion by Neural Networks

نویسندگان

  • Pavel Smrž
  • Petr Sojka
چکیده

We are discussing our experiments we made to learn feed-forward neural network for task of finding valid hyphenation points in all words of given language. Multilayer neural networks were succesfully used for solving of this difficult problem. The structure of the network used is given, together with a discussion about training sets, influence of input coding and results of experiments done for the Czech language. We end up with pros and cons of tested approach—hybrid architecture suitable for a multilingual system.

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تاریخ انتشار 1996