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Word Hy-phen-ation by Neural Networks
Název česky | Dě-le-ní slov pomocí neuronových sítí |
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Autoři | |
Rok publikování | 1997 |
Druh | Článek v odborném periodiku |
Časopis / Zdroj | Neural Network World |
Fakulta / Pracoviště MU | |
Citace | |
www | http://nlp.fi.muni.cz/publications/nnw1997_smrz_sojka/ |
Obor | Počítačový hardware a software |
Klíčová slova | hyphenation; neural networks; backpropagation |
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. |