Chinese translation for "subcategorization"

次类划分 [下位范畴化

Related Translations:

strict subcategorization feature:  严格次范畴化要素

syntactic frame subcategorization frame:  语法框架

Example Sentences:

	1.	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
	2.	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。
	3.	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。
	4.	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。
	5.	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。
	6.	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。

Similar Words：

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