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Word Hy-phen-a-tion by Neural Networks

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SMRŽ Pavel SOJKA Petr

Rok publikování 1996
Druh Prezentace v oblasti VaV (AV tvorba, WEB aplikace apod.)
Fakulta / Pracoviště MU

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Popis We are discussing our experiments we made when learning feedforward neural network to find possible hyphenation points in all words of given language. Neural networks show to be a good device for solving this difficult problem. The structure of the multilayer neural 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 our approach tested - hybrid architecture suitable for a multilingual system.

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