| 跨语言文本分类技术研究进展 |
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| 引用本文： | 高影繁,王惠临,徐红姣.跨语言文本分类技术研究进展[J].情报理论与实践,2010(11). |
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| 作者姓名： | 高影繁 王惠临 徐红姣 |
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| 作者单位： | 中国科学技术信息研究所,北京100038; |
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| 摘 要： | 本文以综述的形式对跨语言文本分类技术目前的发展态势进行了介绍,从应用背景出发,了解跨语言文本分类技术的社会需求;从关键技术出发,了解该项技术的核心问题及解决方案;从已有研究成果得到的结论揭示了该项技术的发展状况,作为一种重要的多语信息组织手段,跨语言文本分类技术发展前景广阔。Abstract：The present development situation of Cross-Language Text Categorization （CLTC） technologies is summarized.The paper describes the social demand for CLTC technologies from the perspective of the application background,describes the core issues of and solutions to CLTC technologies from the perspective of key technologies,and discloses the development status of CLTC technologies from the conclusions drawn from the obtained research results.As an important means for multilingual information organization,CLTC technologies have a broad development prospect.
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| 关 键 词： | 跨语言文本分类 特征提取 算法 |
Progress in Research on Cross-Language Text Categorization Technology |
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| Abstract: | The present development situation of Cross-Language Text Categorization （CLTC） technologies is summarized.The paper describes the social demand for CLTC technologies from the perspective of the application background,describes the core issues of and solutions to CLTC technologies from the perspective of key technologies,and discloses the development status of CLTC technologies from the conclusions drawn from the obtained research results.As an important means for multilingual information organization,CLTC technologies have a broad development prospect. |
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| Keywords: | cross-language text categorization feature extraction algorithm |
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