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基于GA-ELMAN神经网络的句法成分分析研究
引用本文:夏宇.基于GA-ELMAN神经网络的句法成分分析研究[J].科技情报开发与经济,2010,20(33):100-104.
作者姓名:夏宇
作者单位:扬州大学信息工程学院,江苏扬州225009
摘    要:提出了一种基于GA-Elman神经网络的句法成分分析方法,可以达到结合词义和句法结构双层次的理解程度,从而弥补单纯从词的角度进行语义理解的缺陷。通过仿真实验,表明GA-Elman神经网络对句法成分的分析较为准确,具有一定的可行性。

关 键 词:GA-Elman神经网络  句法成分  句法结构

Analytical Study on Syntactic Constituent Based on Ga-Elman Neural Network
XIA Yu.Analytical Study on Syntactic Constituent Based on Ga-Elman Neural Network[J].Sci-Tech Information Development & Economy,2010,20(33):100-104.
Authors:XIA Yu
Abstract:This paper put forward a method for analyzing the syntactic constituent based on Ga-Elman neural network for achieving the understanding on double layers of word meaning and syntactic structure and therefore solving the defects of the understanding of the semanteme simply from the angle of the word,and through the emulation experiments,indicates that the analysis on the syntactic constituent with Ga-Elman neural network is more accurate and feasible.
Keywords:GA-Elman neural network  syntactic constituent  syntactic structure
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