切词 meaning in Chinese
word segmentation
Examples
- However , content - based search engine is a new idea , and is limited by difficulty of literal explicit of chinese words and irregularity of protocal of html , the advanced research work is still on its way to successful resolvment
由于基于内容的网络信息搜索是一个新的概念，而且由于受中文切词、 http的不规范性等难题限制，还需要进一步的加以研究。 - This method is easy to obtain information so that it can break away the independence on the dictionaries and word segmentation managing programs , it can replace the mechanical word segmentation methods on the dictionaries
由于这种方法获取信息简单，用此进行分类可使文档分类系统摆脱对复杂切词处理程序和庞大词典的依赖，因此可以替代基于字典的机械分词方法。 - Experiments show that this algorithm not only mines most of the features selected by the traditional algorithm , but also mines some new meaningful personnames , placenames , new words , phrases , and foreign words
实验表明，该算法不仅能挖掘出传统方法所选择出的绝大部分特征，还能挖掘出一些有意义的、切词系统词库中没有的、能反映分类特点的人名，地名，新词、常用语、外文单词等。 - This paper researches and discusses the theory of latent semantic index , include the theory of single value decompose and word - document matrix . in this paper the author discusses the application of latent semantic index in chinese document clustering based on latent semantic index , researches and discusses vector space model , latent semantic index , electronic dictionary , word - splitting and the algorithm of k - means . this paper presents a improved structure of electronic dictionary and a improved algorithm of word - spliting
本文对潜在语义索引模型进行系统的研究和探讨，包括奇异值分解等相关矩阵理论、词-文档矩阵等；同时本文研究和探讨了潜在语义索引模型在中文文本聚类中的具体应用和实现，包括文本间相似度的度量、词-文档矩阵、奇异值分解的具体实现；同时本文对中文文本聚类所涉及的其他一些中文处理技术，包括向量空间模型、电子字典、切词、 k - means聚类算法等也进行了研究和探讨。