基于神经网络的分词方法

The New Method of Chinese Words Segmentation Based on Neural Network

本文在分析目前自动分词各种方法的基础上,提出了一种新的神经网络分析方法。这一新方法是以模拟人脑并行,分布处理和建立数值计算模型工作的。它将分词知识所分散隐式的方法存入神经网内部.通过自学习和训练修改内部权值,以达到正确的分词结果。最后给出神经网络自动分词结果。

The paper presents a new method of neural network based on analysing Current methods in automatic words segmentation. The new way works on process of parallal and distribution in imitating human brain and establishes a mathematical model. The knowledge of words segmentation can be stored in neural network with hidden and distribution way. Through self-learning, Training and modifing weights in neural network, The correct results of words segmentation can be achieved. Finally, the simulations of words segmentation based on neural network are given.