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．
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.
出处
《湘潭大学自然科学学报》
CAS
CSCD
1999年第1期33-37,共5页
Natural Science Journal of Xiangtan University
基金
湖南省科委资助
关键词
神经网络
语义网络
自然语言处理
汉语
artificial Neural
networks,semantic network,natural language processing
