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边界统计
相关语句
  boundary statistic
     English Base Noun Phrase Identification Based on the Combination of Rule Template and Boundary Statistic
     规则和边界统计相结合的英语基本名词短语识别
     English Base Noun Phrase Identification Based on Hybrid Strategy-- The Strategy of Combination of Boundary Statistic and the Amendment of the String of Part of Speech
     基于混合策略的英语基本名词短语识别——边界统计和词性串规则校正相结合的策略
短句来源
     A novel method of identifying English base noun phrase is proposed. It combines boundary statistic and the amendment by the string of part of speech,with its F β=1 being 96.90%, a result that is better than any other else's.
     提出了边界统计与词性串校正相结合的英语基本名词短语识别策略 ,使英语基本名词短语识别的F测度值达到了 96 .90 % ,超过目前报道的最好结果。
短句来源
  boundary statistics
     The active contour method proposed by Chan and Vese is improved. The boundary statistics is used instead of the region statistics in Chan-Vese's method.
     对Chan和Vese提出的活动轮廓线图像分割算法进行改进,用边界统计特性代替Chan-Vese方法中的区域统计特性。
短句来源
     In every iteration of image segmentation, firstly the corresponding boundary statistics of the current curve is found, then it is driven in evolutive equation, finaly the curveis moved to capture the object's boundary under the level sets framework.
     在图像分割的每次迭代中,首先根据当前曲线找到其边界统计特性,然后代入演化方程以使曲线运动到目标边界上,并用水平集方法实现。
短句来源
  “边界统计”译为未确定词的双语例句
     The secondary part of the method remedies the primary part by taking into account the interior constitution of base noun phrase.
     此方法中,词性串规则弥补了边界统计无法顾及基本名词短语内部组合规律的缺点,提高了精确率和召回率。
短句来源
     Secondly the algorithm integrates a statistical model based on part-of-speech and rules to identify the prepositional phrases that haven't been tackled in the first step.
     之后,用基于词性的三元边界统计模型和规则相结合的方法识别其它未处理的介词短语。
短句来源
     In the energy function, local boundary information was included as a fitting term in the segmentation model based on Chan-Vese method. It was effective for increasing the segmentation correct ratio and speed for lung CT image.
     在图像分割的目标函数中,在Chan-Vese方法基础上,引入局部边界统计特性能量项,以利于提高肺部医学图像分割的准确率和分割速度。
短句来源
  相似匹配句对
     THE STOCHASTIC BOUNDARY ELEMENT METHOD IN STATISTICAL ANALYSIS OF THIN PLATES
     薄板统计分析的随机边界元法
短句来源
     Stochastic boundary element method in statistical analysis of moderately thick plates
     中厚板统计分析的随机边界元法
短句来源
     Statistics
     统计数据
短句来源
     Boundary thinking
     边界沉思
短句来源
     Group Statistics
     分组统计
短句来源
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  boundary statistic
The grain boundary statistic in zinc polycrystals in contact with saturated Ga(Zn) melt has been studied.
      
  boundary statistics
The results of this research provide support for studies of ecotone process that rely on the interpretation of patch or boundary statistics.
      
The method presented in this paper uses only edge boundary statistics and performs better than chance at this task.
      


A novel method of identifying English base noun phrase is proposed. It combines boundary statistic and the amendment by the string of part of speech,with its F β=1 being 96.90%, a result that is better than any other else's. Through replacing the English part of speech and phrase tags by Chinese ones (no more than one hour), the program that is used to identify English base noun phrase, however, identified Chinese base noun phrase triumphantly. The F β=1 of Chinese base noun phrase identification reaches...

A novel method of identifying English base noun phrase is proposed. It combines boundary statistic and the amendment by the string of part of speech,with its F β=1 being 96.90%, a result that is better than any other else's. Through replacing the English part of speech and phrase tags by Chinese ones (no more than one hour), the program that is used to identify English base noun phrase, however, identified Chinese base noun phrase triumphantly. The F β=1 of Chinese base noun phrase identification reaches 95.04%. This technology can be extended to the rapid transplant from more English phrases to Chinese ones.

提出了边界统计与词性串校正相结合的英语基本名词短语识别策略 ,使英语基本名词短语识别的F测度值达到了 96 .90 % ,超过目前报道的最好结果。通过简单的符号替换 (修改程序的时间不超过 1h) ,用识别英语基本名词短语的程序实现了对汉语基本名词短语的识别 ,汉语基本名词短语识别的F测度值达到了 95 .0 4 %。该技术可推广到对多种短语的快速移植。

Base noun phrase identification is an important sub -task in natural language processing.Representative methods of base noun phrase identification are summarized in this paper,whose results are compared and analyzed.A novel method of base noun phrase identification is proposed which combines boundary statistic and the amendment by the string of part of speech.The method divides the base noun phrase identification task into two parts.As the primary part,boundary statistic method can correctly identify most...

Base noun phrase identification is an important sub -task in natural language processing.Representative methods of base noun phrase identification are summarized in this paper,whose results are compared and analyzed.A novel method of base noun phrase identification is proposed which combines boundary statistic and the amendment by the string of part of speech.The method divides the base noun phrase identification task into two parts.As the primary part,boundary statistic method can correctly identify most of the base noun phrases.The rules serve as the secondary part,which is composed of a string of part of speech tags.The rules make amendments to the base noun phrase identified by the primary part,at the same time recycle the base noun phrases which are neglected by the primary part,thus enhancing both the precision and recall.The secondary part of the method remedies the primary part by taking into account the interior constitution of base noun phrase.The method reaches a precision of96.22%and recall of97.59%in English base noun phrase identification,whose F β=1 reaches96.90%.Compared to other method the method achieves the highest F score.

基本名词短语识别是自然语言处理领域非常重要的子任务。文中总结了一些有代表性的基本名词短语识别方法,并对多种典型英语基本名词短语识别的结果进行了比较和对照,提出并实现了边界统计和词性串校正相结合的英语基本名词短语识别方法。该方法把基本名词短语识别分成主次分明的两部分,边界统计作为主要部分能够正确识别出大部分基本名词短语,词性串规则作为辅助手段在对前者识别出的基本名词短语进行核对和校正的同时还对边界统计方法遗漏的基本名词短语进行再回收。此方法中,词性串规则弥补了边界统计无法顾及基本名词短语内部组合规律的缺点,提高了精确率和召回率。采用此方法,基本名词短语识别的精确率达到96.22%,召回率97.59%,Fβ=196.90%,F值超出了目前报道的最好结果。

This paper proposes a hybrid algorithm to identify Chinese prepositional phrase. The algorithm is composed of two steps. Firstly, the algorithm extracts reliable frames automatically according to the frame templates which consist of the prepositions and the right border of prepositional phrases. Then it identifies part of the prepositional phrases using these frames. Secondly the algorithm integrates a statistical model based on part-of-speech and rules to identify the prepositional phrases that haven't been...

This paper proposes a hybrid algorithm to identify Chinese prepositional phrase. The algorithm is composed of two steps. Firstly, the algorithm extracts reliable frames automatically according to the frame templates which consist of the prepositions and the right border of prepositional phrases. Then it identifies part of the prepositional phrases using these frames. Secondly the algorithm integrates a statistical model based on part-of-speech and rules to identify the prepositional phrases that haven't been tackled in the first step. The cross-validation test evaluated on a manually annotated corpus containing 7323 prepositional phrases shows promising results: the precision is 87.48% and recall is 87.27%.

本文运用规则和统计相结合的方法构造了一个汉语介词短语识别算法。首先,根据介词和介词短语右边界组成的搭配模板自动提取可信搭配关系,并用这些搭配关系对介词短语进行识别。之后,用基于词性的三元边界统计模型和规则相结合的方法识别其它未处理的介词短语。通过对含有7323个介词短语的语料作交叉测试,精确率达到87·48%,召回率达到87·27%。

 
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