DocumentCode
2260400
Title
A neural network approach to hyphenating Norwegian
Author
Kristensen, Terje
Author_Institution
Dept. of Comput. Sci., Bergen Univ. Coll., Landas, Norway
Volume
2
fYear
2000
fDate
2000
Firstpage
148
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
Keywords
backpropagation; database management systems; microcomputer applications; neural nets; text editing; Cortex-Pro; Norwegian; PC-platform; backpropagation neural network; database; hyphenation; Backpropagation; Computational modeling; Computer science; Databases; Dictionaries; Educational institutions; Electronic mail; Logic; Neural networks; Pattern matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location
Como
ISSN
1098-7576
Print_ISBN
0-7695-0619-4
Type
conf
DOI
10.1109/IJCNN.2000.857889
Filename
857889
Link To Document