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首页 > 过刊浏览>2005年第16卷第11期 >1909-1919
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基于语义单元表示树剪枝的高速多语言机器翻译
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Supported by the National Natural Science Foundation of China under Grant No.60343010(国家自然科学基金);the Foundation of Institute of Computing Technology,the Chinese Academy of Sciences under Grant No.20016250(中国科学院计算技术研究所创新基金)


High Speed Multi-Language Machine Translation Based on Pruning on the Tree of Representations of Semantic Elements
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    摘要:

    提出一种基于语义单元表示树剪枝的高速多语言机器翻译方法.此方法是一种将汉语翻译到其他语种不需要先进行汉语切分的多语言机器翻译方法.而且翻译时间为O(L)而不是O(LN),其中,L是文本的长度,N是语义单元库中语义单元的数量,一般有数十万或者数百万.

    Abstract:

    In this paper, a high speed multi-language machine translation approach based on pruning on tree representations of semantic elements is proposed. This is the multi-language machine translation with the following several characteristics: Chinese segmentation before translation into another languages is not necessary, and the translation time is O(L) rather than general O(LN), where L is the length of text, N is the number of semantic elements (i.e. number of language patterns) in SER-base, even if N is hundreds of thousands or millions.

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引用本文

高小宇,高庆狮,胡玥,李莉.基于语义单元表示树剪枝的高速多语言机器翻译.软件学报,2005,16(11):1909-1919

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  • 收稿日期:2004-08-10
  • 最后修改日期:2005-02-03
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