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: veda@fi.muni.cz

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