Publication details
Word Hy-phen-ation by Neural Networks
| Authors | |
|---|---|
| Year of publication | 1997 |
| Type | Article in Periodical |
| Magazine / Source | Neural Network World |
| MU Faculty or unit | |
| Citation | |
| Web | http://nlp.fi.muni.cz/publications/nnw1997_smrz_sojka/ |
| Field | Computer hardware and software |
| Keywords | hyphenation; neural networks; backpropagation |
| Description | 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. |