In this article, it is pointed out that the analysis of semantic feature is also born of traditional grammar, which lays stress on semantic analysis.

文章指出，语义特征研究的产生是有着我国传统语法注重揭示语法的语义特点的背景的。

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This paper presents methods of mechanical matching, feature lexicon, binding matrix, grammar analysis and semantic understanding for the Chinese language automatic word segmentation.

本文给出了为汉语自动分词而提出的机械匹配法、特征词库法、约束矩阵法、语法分析法和理解切分法。

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Using latent semantic analysis to extract feature, the affect of synonymy and polysemy in text representation process is eliminated and the dimension of text vector is reduced.

利用潜在语义分析进行特征抽取，消除多义词和同义词在文本表示时造成的偏差，并实现文本向量的降维。

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