CASIA OpenIR  > 模式识别国家重点实验室  > 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
Source PublicationInternational Journal of Advanced Intelligence(IJAI)
AbstractAutomatic 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.
KeywordSpoken Language Translation Oov Named Entity Translation Digital And Time Named Entity
Document Type期刊论文
Recommended Citation
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.
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