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1)  low frequency vocabulary
低频词
2)  low-frequency word
低频词汇
3)  high frequency words and low frequency words
高频词汇和低频词汇
4)  word frequency
词频
1.
Effects of part of speech, word category and word frequency on difficulty and reaction time of Chinese Words Reasoning Test;
语词推理测验的词性、词类和词频对项目难度和反应时间的效应
2.
To design a text-filter experiment, first, the dualistic relevancy of word coexistence frequency should be mined by the word frequency Stat.
设计一个文本过滤实验 ,首先从语料库的词频统计结果中挖掘出词频的二元关联度 ,然后用一个Hop field网络将词频的二元关联关系转化为语境关联关系 ,训练语言单位在整个上下文环境下的权重 ,并建立用户模板 。
3.
Combining with algorithms of statistical word frequency and channels,forgetting algorithm and documents attention algorithm,it can obtain the changes of users interests dynamically and satisfy the regquirement of personalized search.
针对传统搜索引擎的不足,论述了个性化综合倒排索引的基本思想,结合词频渠道奖励算法、遗忘算法和文档关注度算法来动态获取用户兴趣变化,从而满足个性化搜索的需求。
5)  term frequency
词频
1.
Points out the limitations of general text feature extraction method based on TfIdf in problems of text classification,and presents the standpoint that combines the term distribution characteristic,term frequency and document frequency to extract the text feature,thus giving a new method to compute term s weight,and a new way of text classification.
指出基于TfIdf的常用文本特征提取方法在文本分类问题中的缺陷,进而提出使用特征词的分布状态、词频和文本频三者相结合的方式提取文本特征的观点,给出了计算特征词权重的新方法,提出了新的文本分类方法。
2.
The techniques used in the method are discussed,which include selecting the characters of text doc-uments,the constructing the character lexicons as well as the computation of the weights of the term frequency(TF).
提出了根据邮件特征域信息和特征词频进行垃圾邮件过滤的新方法,并介绍在该方法中的文本特征选取、特征词典构造以及基于TF的权值计算等相关技术,以及改进的文本相似度计算概率模型。
3.
They ignore that the term frequency results in the classifier\'s capacity of classification down.
传统的关联规则文本分类一般以规则的置信度作为分类准则,完全忽略了特征词的词频对分类的影响。
6)  frequency [英]['fri:kwənsi]  [美]['frikwənsɪ]
词频
1.
The Affects of Category Size and Frequency on Subliminal Semantic Activation;
刺激集和词频对阈下语义启动效应的作用
2.
There is a significant correlation between frequency and word gain in the multiple - choice test, but not in the blank - filling test.
结果显示:两项测试的词汇附带习得率均为20%左右;在选择测试中,词频与词汇净增百分数有显著性相关,而在填空测试中两者无显著性相关;附带习得一个词所要接触这个词的次数约在14~17左右;受试的词汇量大小与受试两项测试的前测和后测成绩均有显著性相关,而与词汇的增加数没有显著性相关。
3.
What role do word frequency and predictability play in the process of words recognition? Do word frequency and predictability affect the same stage of words recognition? Do word frequency and predictability have an interaction relationship? Many studies have been carried out to explore these questions in alphabetic languages.
在词语识别过程中,词频和可预测性起到什么作用,词频和可预测性是否影响词语识别的同一加工阶段,词频和可预测性是否存在交互作用等,国外学者以拼音文字为阅读材料进行了大量理论和实证研究。
补充资料:如此江山 泛曲阿后湖 曲阿词综曲阿词综中,
【诗文】:
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