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机器翻译技术现状与展望 被引量：16

Machine Translation Research and Technology
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摘要 本文对机器翻译技术的研究现状进行了全面介绍,分析了亟待解决的核心问题,并对机器翻译的未来发展前景和趋势提出了自己的设想。 This paper gives a comprehensive introduction to the status of current machine translation research and technology,and analyzes the key problems to be resolved.Finally our idea of the future trends and prospects of machine translation are put forward.
作者 刘群
机构地区 中国科学院计算技术研究所智能信息处理重点实验室
出处 《集成技术》 2012年第1期48-54,共7页 Journal of Integration Technology
关键词 统计机器翻译 机器翻译系统 技术现状 统计翻译模型 语言知识 语言模型 翻译研究 平行语料库 基于规则 计算机辅助翻译
分类号 TP391.2 [自动化与计算机技术—计算机应用技术]
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参考文献28

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  • 3Libin Shen,Jinxi Xu,Ralph Weischedel.A new string-to-dependency machine translation algorithm with a target dependency lan-guage model. Proceedings of Annual Meeting of the Association forComputational Linguistics . 2008
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  • 9Galley M,Graehl J,Knight K,et al.Scalable inference and training of context-rich syntactic translation models. Proceedings of COL-ING-ACL . 2006
  • 10Philipp Koehn,Hieu Hoang.Factored Translation Models. Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning . 2007

同被引文献123

引证文献16

集成技术
2012年 第1期

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