A New Framework to Deal With OOV Words in SLT System

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 自然语言处理

	A New Framework to Deal With OOV Words in SLT System
	Zhou, Yu; Zhai,Feifei; Liu, Peng; Zong, Chengqing
发表期刊	International Journal of Advanced Intelligence(IJAI)
	2011
卷号	3 期号:2 页码:269-285
摘要	Automatic spoken language translation (SLT) is considered as one of the most challenging tasks in modern computer science and technology. It is always a hard nut to deal with the problem of Out-Of-Vocabulary (OOV) words in SLT. The existing traditional SLT framework often doesn’t take effect for OOV words translation because of the data sparseness. In this paper based on the analysis of common OOV expressions appeared in SLT, we propose a new framework for bidirectional Chinese-English SLT in which a series of approaches to translating OOV expressions are presented. The experimental results have shown that our framework and approaches are effective and can greatly improve the translation performance.
关键词	Spoken Language Translation Oov Named Entity Translation Digital And Time Named Entity
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/40938
专题	多模态人工智能系统全国重点实验室_自然语言处理
推荐引用方式 GB/T 7714	Zhou, Yu,Zhai,Feifei,Liu, Peng,et al. A New Framework to Deal With OOV Words in SLT System[J]. International Journal of Advanced Intelligence(IJAI),2011,3(2):269-285.
APA	Zhou, Yu,Zhai,Feifei,Liu, Peng,&Zong, Chengqing.(2011).A New Framework to Deal With OOV Words in SLT System.International Journal of Advanced Intelligence(IJAI),3(2),269-285.
MLA	Zhou, Yu,et al."A New Framework to Deal With OOV Words in SLT System".International Journal of Advanced Intelligence(IJAI) 3.2(2011):269-285.