1) the word body characteristics
词体特征
1.
Therefore, this article will obtain from the poet intrinsic difference, take WenTingjun’s poem as the leadership to discuss the word body characteristics of late Tang Poem and the reasons which result in this phenomenon as well as its influence in later literature.
因此,本文将从诗词内在特质的差异辨析入手,以温庭筠诗为主导,探讨晚唐诗中蕴含的词体特征以及这一现象出现的缘由和对后世文学的影响。
2) feature words
特征词
1.
It is an important problem how to choice the feature words which can express the topic exactly,and consequently reduce space dimension and time complexity.
文本分类中通常采用向量空间模型(VSM)来表示文本特征,如何选择最能够表达文本主题的特征词,从而减少特征空间维数,降低时空复杂度,是一个十分重要的问题。
2.
We proposed a clustering computing based on feature words.
文章采用特征词的方法,利用特征词将句子聚类,通过实验达到了比较满意的效果。
3.
Different than stressing genealogical lines as is done by comparing feature words of a Pan-Min nature,the extraction of feature words pertaining to Hainan Min dialect is aimed at revealing its peculiarity.
方言特征词是最具方言特色的词语。
3) characteristic words
特征词
1.
This article uses correlative theory and researched date, whose representative characteristic words are from Binyang dialect, Tingzi Pinghua and Hengxian Pinghua, at the same time, com paring with characteristic words from Characteristic Words in Cantonese whose author is Zhang Shuangqing, to analyse the using situation.
方言特征词,对认识一种方言的面貌,认识相关方言区之间的联系有着重要的意义。
2.
This paper introduces the definition and its extract method of Hakka dialects characteristic words, and lists some examples,then stresses the analysis of modern Chinese words in it in order to show the close relation of Hakka dialects and the modern Chinese.
本文介绍了客家方言特征词的界定及其提取方法 ,并列举了部分例子 ,然后重点分析了其中的近代汉语词 ,以此说明客家方言与近代汉语关系紧密。
3.
With the point of characteristic words, it’s very necessary and important to do the comparison.
方言特征词,对认识一种方言的面貌,认识相关方言区之间的联系有着重要的意义。
4) positive feature words
正特征词
1.
To categorize documents hierarchically according to their topics,the thought of Fisher linear discriminant is utilized to get positive feature words and negative feature words in each category, and the algorithm of a hierarchical document categorization is given based on Fisher linear discriminant (HDCF).
将文档按照主题进行层次分类,利用Fisher线性判别式的思想来提取每一类的正特征词和负特征词,给出基于Fisher线性判别式的层次文档分类算法(HDCF)。
5) negative feature words
负特征词
1.
To categorize documents hierarchically according to their topics,the thought of Fisher linear discriminant is utilized to get positive feature words and negative feature words in each category, and the algorithm of a hierarchical document categorization is given based on Fisher linear discriminant (HDCF).
将文档按照主题进行层次分类,利用Fisher线性判别式的思想来提取每一类的正特征词和负特征词,给出基于Fisher线性判别式的层次文档分类算法(HDCF)。
6) signature word
特征词
1.
Automatic segmentation based on signature word;
基于特征词的自动分词研究
2.
It can extract the subject signature words from Web page text when the wireless terminal cannot show the full Web page because of small display screen.
总结了目前有关文本主题提取方面的研究成果,设计了一个特征词加权函数,在此函数中考虑了词所跨的段落数因子,同时采用非线性函数描述词长因子和词所跨的段落数因子的作用,并将加权函数应用于主题自动提取。
3.
this paper makes a tentative discussion on the techniques and method of automatic abstracting of signature words on the requirement of automatic document abstraction,two new extracting algorithms of signature words were designed and implemented.
本文从自动文摘的需求出发 ,探讨特征词自动抽取的方法和技术 ,设计并实现了两种不同的特征词自动抽取算法。
补充资料:词体
1.文词的体式。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条