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

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