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Incorporating linguistic structure into maximum entropy language models
Fang, GL; Gao, W; Wang, ZQ
2003
发表期刊JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
ISSN1000-9000
卷号18期号:1页码:131-136
摘要In statistical language models, how to integrate diverse linguistic knowledge in a general framework for long-distance dependencies is a challenging issue. In this paper, an improved language model incorporating linguistic structure into maximum entropy framework is presented. The proposed model combines trigram with the structure knowledge of base phrase in which trigram is used to capture the local relation between words, while the structure knowledge of base phrase is considered to represent the long-distance relations between syntactical structures. The knowledge of syntax, semantics and vocabulary is integrated into the maximum entropy framework. Experimental results show that the proposed model improves by 24% for language model perplexity and increases about 3% for sign language recognition rate compared with the trigram model.
关键词maximum entropy language model base phrase identification sign language recognition
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS记录号WOS:000180577400018
出版者SCIENCE PRESS
引用统计
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/13758
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Fang, GL
作者单位1.Harbin Inst Technol, Dept Comp Sci & Engn, Harbin 150001, Peoples R China
2.Chinese Acad Sci, Comp Technol Inst, Beijing 100080, Peoples R China
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GB/T 7714
Fang, GL,Gao, W,Wang, ZQ. Incorporating linguistic structure into maximum entropy language models[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2003,18(1):131-136.
APA Fang, GL,Gao, W,&Wang, ZQ.(2003).Incorporating linguistic structure into maximum entropy language models.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,18(1),131-136.
MLA Fang, GL,et al."Incorporating linguistic structure into maximum entropy language models".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 18.1(2003):131-136.
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