Both Chinese and Kazakh languages are rich in idiom, therefore, in the study of languages, its cultural significance for analysis and comparison is very necessary. 汉语和哈萨克语这两种语言中都有着丰富的熟语，因此，在研究两种语言时，对其文化意义进行分析和对比是十分必要的。
The main theme of this paper is the automatic recognition of hand-written kazakh characters using artificial neural networks in addition to conventional techniques. 论文主要讨论如何结合结构方法和神经网络的技术，来实现哈萨克语手写文字识别系统的实现。
