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Learning swedish morphology with a neural network
Number of Authors: 1
1992 (English)Report (Refereed)
Abstract [en]

In this thesis an attempt to derive word classes from word-endings using a neural network is done. The network which uses the back-propagation algorithm was trained with pairs of word-endings and word categories. A brief summation of some important concepts in the field of abstract neural networks is given. Following this the actual task is attacked and its results discussed. The results (the net gives a better result than a pure guess) are indicating that to fully achieve the goal improvements are necessary. Suggestions for these improvements and future works are concluding this paper.

Place, publisher, year, edition, pages
Swedish Institute of Computer Science , 1992, 1. , 46 p.
Series
SICS Technical Report, ISSN 1100-3154 ; T92:10
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-22130OAI: oai:DiVA.org:ri-22130DiVA: diva2:1041672
Available from: 2016-10-31 Created: 2016-10-31

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Computer and Information Science

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