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基于非负矩阵分解方法的汉字基本部件识别 被引量:4

Base component discovery from Chinese characters by NMF and expanded NMF methods
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摘要 将NMF方法应用到汉字字形的处理中,成功地从一些汉字样本中抽取出构成这些汉字的基本部件。通过引入合适的惩罚因子,提出了一种扩展的NMF方法,对同样的汉字样本进行处理可以获得更好的结果,抽取出的基本部件就是构成这些汉字的偏旁部首。 The NMF method is applied to Chinese character and some base structures are discovered successfully.By introducing punishment factor into target function,a expended NMF method is proposed which is more suitable to factorize Chinese characters.
出处 《计算机工程与应用》 CSCD 北大核心 2008年第29期76-78,81,共4页 Computer Engineering and Applications
基金 国家自然科学基金No.60534080 70601002 70471080~~
关键词 非负矩阵分解 汉字 基本部件 Nonnegative Matrix Factorization(NMF) Chinese characters base component
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