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. 漢語和哈薩克語這兩種語言中都有著豐富的熟語，因此，在研究兩種語言時，對其文化意義進行分析和對比是十分必要的。
The main theme of this paper is the automatic recognition of hand-written kazakh characters using artificial neural networks in addition to conventional techniques. 論文主要討論如何結合結構方法和神經網路的技術，來實現哈薩克語手寫文字識別系統的實現。
