Neural network for interpretation of multi-meaning Chinese words

Qianhua He; Bingzheng Xu

doi:10.1117/12.170012

2 March 1994 Neural network for interpretation of multi-meaning Chinese words

Qianhua He, Bingzheng Xu

Proceedings Volume 2243, Applications of Artificial Neural Networks V; (1994) https://doi.org/10.1117/12.170012
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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.

Citation Download Citation

Qianhua He and Bingzheng Xu "Neural network for interpretation of multi-meaning Chinese words", Proc. SPIE 2243, Applications of Artificial Neural Networks V, (2 March 1994); https://doi.org/10.1117/12.170012

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