QQ客服 官方微博 反馈留言

	Comparison of web-based unsupervised translation disambiguation word model and N-gram model
	Liu, Peng-Yuan ; Zhao, Tie-Jun
刊名	dianzi yu xinxi xuebaojournal of electronics and information technology
	2009
英文摘要	This paper describes and compares web-based unsupervised translation disambiguation word model and N-gram model. For acquiring knowledge of disambiguation, both two models put differents queries to search engine and statistic page counts which it returned. Word model defines Web Bilingual Relatedness(WBR) between Chinese words and English words and disambiguates word sense by maxmizing Web Bilingual Relatedness between contexts and the translations of target word. Based on the hypothesis that the pattern of a polysemant is different while different sense of it is being used, N-gram model makes disambiguation by statisticing and analyzing N-grams of words in different semantic class of that polysemant. Both of the two models are evaluated on the SemEval2007 task#5, achieving the top performance against the state-of-the-art comparable unsupervised systems. Furthmore, N-gram model outperforms word model and the performence has potential for promotion when combine the results of that two class model.; EI; 0; 12; 2969-2974; 31
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/407637]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Liu, Peng-Yuan,Zhao, Tie-Jun. Comparison of web-based unsupervised translation disambiguation word model and N-gram model[J]. dianzi yu xinxi xuebaojournal of electronics and information technology,2009.
APA	Liu, Peng-Yuan,&Zhao, Tie-Jun.(2009).Comparison of web-based unsupervised translation disambiguation word model and N-gram model.dianzi yu xinxi xuebaojournal of electronics and information technology.
MLA	Liu, Peng-Yuan,et al."Comparison of web-based unsupervised translation disambiguation word model and N-gram model".dianzi yu xinxi xuebaojournal of electronics and information technology (2009).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

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。