Technical Reports
The report FIMU-RS-96-04
Word Hy-phen-a-tion by Neural Networks
by Pavel Smrž, Petr Sojka, August 1996, 10 pages.
FIMU-RS-96-04. Available as Postscript, PDF.
Abstract:
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.
Responsible contact:
vedaXDjbU2LSW@fiQ1T5fpnNE.muni8CVI=SRv5.cz
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