基于GA-ELMAN神经网络的句法成分分析研究  

Analytical Study on Syntactic Constituent Based on Ga-Elman Neural Network

作　　者：夏宇[1] 

机构地区：[1]扬州大学信息工程学院,江苏扬州225009

出　　处：《科技情报开发与经济》2010年第33期100-104,共5页Sci-Tech Information Development & Economy

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。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.

关 键 词：GA-Elman神经网络 句法成分 句法结构 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]