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(yǔ)和哈薩克語(yǔ)這兩種語(yǔ)言中都有著(zhù)豐富的熟語(yǔ)，因此，在研究?jì)煞N語(yǔ)言時(shí)，對其文化意義進(jìn)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(jīng)網(wǎng)絡(luò )的技術(shù)，來(lái)實(shí)現哈薩克語(yǔ)手寫(xiě)文字識別系統的實(shí)現。
