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Proceedings Paper

Neural network for interpretation of multi-meaning Chinese words
Author(s): Qianhua He; Bingzheng Xu
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Paper Abstract

We proposed a neural network that can interpret multi-meaning Chinese words correctly by using context information. The self-organized network, designed for translating Chinese to English, builds a context according to key words of the processed text and utilizes it to interpret multi-meaning words correctly. The network is generated automatically basing on a Chinese-English dictionary and a knowledge-base of weights, and can adapt to the change of contexts. Simulation experiments have proved that the network worked as expected.

Paper Details

Date Published: 2 March 1994
PDF: 9 pages
Proc. SPIE 2243, Applications of Artificial Neural Networks V, (2 March 1994); doi: 10.1117/12.170012
Show Author Affiliations
Qianhua He, South China Univ. of Technology (China)
Bingzheng Xu, South China Univ. of Technology (China)


Published in SPIE Proceedings Vol. 2243:
Applications of Artificial Neural Networks V
Steven K. Rogers; Dennis W. Ruck, Editor(s)

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