We find that the Semantic Neural Network relies on semantic analysis mainly, which just accords with the characteristics of Chinese as the language of analytical type.
我们发现语义神经网络以语义分析为主，这正好符合汉语作为分析型语言的特点。
This paper presents a new method of text clustering by using the latent semantic index (LSI) and self-organizing neural network (SNN).
根据隐含语义索引（LSI）理论和动态自组织映射神经网络理论，提出了一种文本聚类的新方法。
On the basis of this work, we continue to carry on the research of Deep-seated Semantic Computing and really realize the understanding of the nature language with the Semantic Neural Network.
基于表层语义理解的工作，我们继续进行深层语义计算的研究，真正意义上的实现语义神经网络的自然语言理解。
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