CORC  > 上海财经大学  > 上海财经大学
Quantitative structural information for inferring context free grammars with an extended Cocke-Younger-Kasami algorithm
Zhang, Ming-Heng
刊名PATTERN RECOGNITION LETTERS
2011-04-15
卷号32期号:6页码:860-865
关键词Quantitative structural information Context free grammars Chomsky normal form Grammatical inference CYK algorithm Machine learning
ISSN号0167-8655
DOI10.1016/j.patrec.2010.12.017
英文摘要In this paper, we propose an approach to quantitative structural information for inferring context free grammars. First, we construct derivative capacity of nonterminal symbols in context free grammar, concomitant indicator and embedded dimensional number of strings in samples set, which are called as quantitative structural information; then, we rewrite Cocke-Younger-Kasarni (CYK) algorithm for parsing in the form of the derivative set; third, we present the construction of new production rule and the descriptive procedure for inferring with an extended CYK algorithm by the quantitative structural information. Finally, we discuss the extended CYK algorithm for inferring context free grammars. (C) 2011 Elsevier B.V. All rights reserved.
WOS研究方向Computer Science
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000288922200012
内容类型期刊论文
源URL[http://10.2.47.112/handle/2XS4QKH4/2282]  
专题上海财经大学
通讯作者Zhang, Ming-Heng
作者单位Shanghai Univ Finance & Econ, Sch Econ, Shanghai 200433, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Ming-Heng. Quantitative structural information for inferring context free grammars with an extended Cocke-Younger-Kasami algorithm[J]. PATTERN RECOGNITION LETTERS,2011,32(6):860-865.
APA Zhang, Ming-Heng.(2011).Quantitative structural information for inferring context free grammars with an extended Cocke-Younger-Kasami algorithm.PATTERN RECOGNITION LETTERS,32(6),860-865.
MLA Zhang, Ming-Heng."Quantitative structural information for inferring context free grammars with an extended Cocke-Younger-Kasami algorithm".PATTERN RECOGNITION LETTERS 32.6(2011):860-865.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace