This article puts forward the concept of Chinese and English dictionary with reverse term frequency. 提出了带反向词频(TF)的中英文词典这一概念。
In the method, lexical chains are firstly constructed by calculating the semantic similarity between terms, then keywords are selected through taking account of term frequency and area. 该方法考虑了词汇之间的语义信息,能够改善关键词标引的性能。
The results show that it has better short term frequency stability and frequency drife performance with temperature. 试验表明,它具有良好的短期频率稳定度和温漂特性。
The problem of short term frequency stability is one of the key-link techniques in Doppler-velocity measurement. 频率短期稳定度问题是多普勒测速关键技术之一。
Therefore, a text categorization algorithm based on frequent patterns with term frequency is presented. 为此,提出了基于分类规则树的带词频(TF)的频繁模式文本分类方法。