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一种基于E-Chunk的机器翻译模型
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国家自然科学基金资助项目(69985001);国家重点基础研究973资助项目(G19980305011);国家教育部博士点基金资助项目(1999014503)

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    摘要:

    提出了一种基于E-Chunk的多引擎机器翻译模型.该模型以中心语驱动的分析技术为基础,通过词汇相似特征计算E-Chunk的匹配代价,自底向上地完成最优E-Chunk覆盖的构造,并以E-Chunk为基本翻译单元完成机器翻译过程.初步的实验结果显示,该方法在面向领域文本的自动翻译方面是有效的.

    Abstract:

    In this paper, a new E-Chunk based multi-engine machine translation model is proposed. The model is composed of a head-driven lexicalized parser, a word-similarity based E-Chunk match engine and a bilingual E-Chunk based transfer engine. The optimal E-Chunk tiling is constructed in a bottom-up style efficiently. Preliminary experimental results show that it is effective in domain oriented machine translation.

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李沐,吕学强,姚天顺.一种基于E-Chunk的机器翻译模型.软件学报,2002,13(4):669-676

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  • 收稿日期:2000-08-21
  • 最后修改日期:2000-12-19
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