| 基于人工神经网络的汉语语义网络生成 |
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| 引用本文： | 陈益强,周经野.基于人工神经网络的汉语语义网络生成[J].湘潭大学自然科学学报,1999,21(1):33-37. |
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| 作者姓名： | 陈益强 周经野 |
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| 作者单位： | 湘潭大学计算机科学系 |
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| 摘 要： | 在分析自然语言处理中规则法与统计法的优缺点的基础上，提出一种新的基于人工神经网络的汉语语义网络生成模型，该模型利用人工神经网络的可学习性，从而可有效覆盖相当规模的语言学知识，以应付自然语言的多变性，同时通过语义网络表征知识可深层次刻划词语之间的关系，为后续语言的理解与推理打下基础．
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| 关 键 词： | 人工神经网络 语义网络 自然语言处理 |
| 修稿时间： | :1998-10-0 |
CHINESE SEMANTIC NETWORK GENERATION WITH THE NEURAL NETWORKS |
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| Chen,Yiqiang Zhou Jingye.CHINESE SEMANTIC NETWORK GENERATION WITH THE NEURAL NETWORKS[J].Natural Science Journal of Xiangtan University,1999,21(1):33-37. |
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| Authors: | Chen Yiqiang Zhou Jingye |
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| Abstract: | Based on analysing the advantage and disadvantage of the
probabilistic model and the symbolic method in natural language processing,A new.model
amodel with the artificial neural networksis first presented and applied chinese semantic
Network generation.this model uses adapation of the neural network,so it can cover efficiently.A
largescale linguistic knowledge to deal with the variability of natural language,also,it can
describe deeply the coherence of the words with the semantic network,and being the fundament
for the understanding and reasoning of the language. |
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| Keywords: | artificial Neural networks semantic network natural language processing |
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