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   统计分词方法 的翻译结果: 查询用时:0.01秒
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统计分词方法
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  “统计分词方法”译为未确定词的双语例句
     2) Constructing a model of Chinese words segmentation , which is based on the N-shortest-paths method, to achieve the goal.
     2) 构造了一种改进的基于N-最短路径统计分词方法,旨在兼顾高召回率和高效率。
短句来源
     On the basis of comprehensive compare and analysis of the mechanical Chinese word segmentation and traditional Chinese word segmentation which are often used, this thesis puts forward and implements a machine-statistics system based on Hash structure for Chinese word segmentation.
     本文在综合比较分析了常用的机械分词方法和统计分词方法基础上,设计并实现了一个基于Hash结构的机械统计分词系统。
短句来源
     In order to close combine and complement disadvantages of this two methods, and to make best use of them, this thesis dose some deep research in the following aspects: In the mechanical Chinese word segmentation, changing the matching length of max matching method dynamically instead of statically in order to reduce the unnecessary matching operations;
     为使得机械分词方法和统计分词方法能有机结合,优势互补,最大发挥各自性能,本文在如下几方面作了深入研究:在机械分词阶段,将最大匹配长度的赋值方式由静态分配改进为动态分配,以减少不必要的匹配操作;
短句来源
     On the basis of comprehensive comparison of the mechanical Chinese word segmentation and statistical Chinese word segmentation which are often used,a kind of machine-statistics system based on Hash structure for Chinese word segmentation is put forward and carried out.
     在综合比较了常用的机械分词方法和统计分词方法基础上,论文设计并实现了一种基于Hash结构的机械统计分词系统。
短句来源
     This system breaks through the traditional mechanical Chinese word segmentation method and statistical Chinese word segmentation method and combines the advantages of them.
     系统突破了传统的机械分词方法和统计分词方法,结合了两者的优势,并对其做了一系列的改进。
短句来源
  相似匹配句对
     statistical method;
     ⑤统计方法;
短句来源
     4. StatisticsValues are presented as x s .
     4.统计方法
短句来源
     Chinese Word Segmentation Based on Dictionary and Statistics
     字典与统计相结合的中文分词方法
短句来源
     STUDY OF A PARALLEL WORD SEGMENTATION METHOD
     并行分词方法的研究
短句来源
     Methods.
     方法
短句来源
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Processing of ambiguities is the key problem in the automatic segmentation of Chinese words, which is a basic issue in Chinese information retrieval. There are segmentation methods respectively based on dictionaries, statistics, semantics and artificial intelligence. In this paper, the author also introduces various kinds of methods for the processing of ambiguities. 15 refs.

歧义处理是汉语自动分词的核心问题,汉语自动分词是中文信息检索的基础性课题。目前有基于词典的分词方法、基于统计的分词方法、基于语义的分词方法和基于人工智能的分词方法。自动分词的歧义处理,目前主要有:利用“长词优先”排歧,利用特征词消歧,利用“互信息”和“t-信息差”消歧,利用专家系统分词消歧。参考文献15。

On the basis of comprehensive comparison of the mechanical Chinese word segmentation and statistical Chinese word segmentation which are often used,a kind of machine-statistics system based on Hash structure for Chinese word segmentation is put forward and carried out.This system breaks through the traditional mechanical Chinese word segmentation method and statistical Chinese word segmentation method and combines the advantages of them.On the other hand,this thesis makes a series of improvement on these two...

On the basis of comprehensive comparison of the mechanical Chinese word segmentation and statistical Chinese word segmentation which are often used,a kind of machine-statistics system based on Hash structure for Chinese word segmentation is put forward and carried out.This system breaks through the traditional mechanical Chinese word segmentation method and statistical Chinese word segmentation method and combines the advantages of them.On the other hand,this thesis makes a series of improvement on these two methods as well.The analysis of the testing results shows that the segmentation speed of this system can reach more than 12,000 Chinese characters pre second,further more,this system also has great capacity for finding the new words which not exit in the dictionary.

在综合比较了常用的机械分词方法和统计分词方法基础上,论文设计并实现了一种基于Hash结构的机械统计分词系统。系统突破了传统的机械分词方法和统计分词方法,结合了两者的优势,并对其做了一系列的改进。从对测试结果的分析可以看出,系统的分词速度达到了每秒一万两千个汉字以上,且具有较强的未登陆词识别能力。

 
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