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次范畴的英文

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"次范畴"怎么读用"次范畴"造句

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  • subcategory

例句与用法

  • A subcategorization study of the premodifiers in english noun phrases
    英语名词短语中前置修饰语的次范畴化研究
  • The construction of tv news broadcasting symbol system and function of subcategory
    电视新闻传播符号系统的构成及次范畴的作用
  • And this thesis introduces the evaluate mechanism for automatic acquisition methods
    并简要介绍了次范畴化自动获取的评价机制。
  • Now the automatic acquisition method for sentence level chinese verb subcategorization has many disadvantages . categorizing acquisition precision is not very high
    现有的句子级别的汉语动词次范畴信息(简称scf )获取技术还存在很多不足之处,分类获取精度不高。
  • Verb subcategorization information , mainly coding the types of distribution of predicative features , is indispensable knowledge for further development in the field of natural language processing
    动词次范畴化信息反映了动词作谓词时所表现出来的不同句法特征的分布,作为自然语言处理进一步发展所不可或缺的知识,汉语中的相关研究还很薄弱。
  • Asian language information processing , 2002 , 1 : 225 - 268 . 44 peng f , huang x , schuurmans d et al . investigating the relationship between word segmentation performance and retrieval performance in chinese ir
    中文动词次范畴化的研究主要研究了汉语动词次范畴化现象的语言学理论和汉语动词scf信息的自动获取技术,并获得了目前国内外同类研究的最优性能。
  • But the research related chinese researches seem still weak , working on large real corpus faced automatic acquisition methods for sentence level chinese verb subcategorization is of great theoretical significance and practical potentiality
    探索面向真实语料的汉语动词次范畴化自动获取方法对于中文信息处理来说具有重要的理论研究意义和广阔的应用前景。
  • 2 、 this thesis proposes an algorithm based on the svm model . through the svm , we can find the information of the optimal classification surface . to use the two sorts ’ segregator , we can automatically acquire sentence level chinese verb subcategorizations
    2 、研究并提出了使用支持向量机模型,建立最优分类面,通过二类分类器,分别获取各次范畴分类的方法,并通过实验验证其可行性。
  • Based on previous achievements of other researches , this thesis analyzes the chinese verb subcategorization in the sentence structures , explores many related algorithms , acquires large real corpus faced sentence level chinese verb subcategorization information automatically , and improves the acquisition precision
    本文在国内外已有相关成果的基础上,对句子结构中包含的次范畴信息进行分析,探索各类相关算法,对面向真实语料的句子级别汉语动词次范畴信息进行分类获取,提高其获取精度。
  • Through the experiment , we test its feasibility . 3 、 to solve the insufficiency of the svm method , the thesis proposes another algorithm based on similarity computing for verb subcategorization acquisition , and use two different sentences similarity getting algorithms to the acquisition : vector space model and the algorithm for sentence structure similarity getting that based on word class cluster
    3 、针对支持向量机方法在自动获取性能方面的不足,探索提出了基于相似度计算的动词次范畴获取算法,并分别使用了两种不同的句子相似度获取算法:向量空间模型和基于词类串句子结构相似度获取算法,用于动词次范畴类获取。
用"次范畴"造句  
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