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An improved maximal entropy based bracketing transduction grammar translation model with ensemble learning
Su, Jinsong ; Zhang, Kaixu ; Dong, Huailin ; Su JS(苏劲松) ; Zhang KX(张开旭) ; Dong HL(董槐林)
刊名http://dx.doi.org/10.12733/jcis9471
2014
关键词Linguistics
英文摘要With an important characteristic that using discriminative lexicalized reordering model to capture the phrase movement during translation, the maximum entropy based bracketing translation grammar (MEBTG) has become one of the research hotspots of statistical machine translation in recent years. However, the research of this model is far from mature. Specifically, MEBTG system tends to suffer from the problems related to over-fitting of the reordering examples. To solve this problem, we propose to apply ensemble learning framework to improve discriminative reordering model of MEBTG system. In the specific implementation, we first respectively try bagging and cross-validation to construct multiple basic classifiers, and then investigate two integration methods to combine the results of these classifiers. The experimental results on large-scale data set demonstrate the effectiveness of our method. ? 2014 Binary Information Press.
语种英语
出版者Binary Information Press
内容类型期刊论文
源URL[http://dspace.xmu.edu.cn/handle/2288/90390]  
专题软件学院-已发表论文
推荐引用方式
GB/T 7714
Su, Jinsong,Zhang, Kaixu,Dong, Huailin,et al. An improved maximal entropy based bracketing transduction grammar translation model with ensemble learning[J]. http://dx.doi.org/10.12733/jcis9471,2014.
APA Su, Jinsong,Zhang, Kaixu,Dong, Huailin,苏劲松,张开旭,&董槐林.(2014).An improved maximal entropy based bracketing transduction grammar translation model with ensemble learning.http://dx.doi.org/10.12733/jcis9471.
MLA Su, Jinsong,et al."An improved maximal entropy based bracketing transduction grammar translation model with ensemble learning".http://dx.doi.org/10.12733/jcis9471 (2014).
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