A Neural Network Approach to Hyphenating Norwegian

Authors:
Terje Kristensen
Affiliations:
-
Venue:
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 2 - Volume 2
Year:
2000

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Abstract

This paper presents a method to automatically hyphenate Norwegian by a Backpropagation neural network. The original database consists of about 67000 Norwegian words and is developed by the Norwegian Computing Centre for the Humanities at the University of Bergen. The experiments have been done on a PC-platform and on only a sample of words from the database. The hyphenation program has been developed in Cortex-Pro, a general-purpose neural network simulation environment.