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论语境因素在机器翻译中的重要作用 被引量:1

Research on the importance of context factor in machine translation
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摘要 语境在机器翻译中扮演非常重要的角色。本文章结合目前机器翻译的现状,运用计算机辅助英语翻译理论,探讨了语境因素在机器翻译中的重要性,并指出了对源语言进行句子和篇章语境分析有助于计算机进行准确的翻译,从而提高机器翻译质量。 The context plays an important role in machine translation. According to the present situation of machine translation and computer aided translation theory, this paper discusses the importance of context in machine translation and points out that the analysis of contextual sentences and paragraphs can helps to make accurate translation ,thus improve the quality of machine translation.
作者 张少恩
出处 《农业网络信息》 2008年第7期129-131,共3页 Agriculture Network Information
关键词 机器翻译 语境分析 句子 篇章 Machine translation Context analysis Sentence Paragraph
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  • 1[1]Erik F, Tjong Kim Sang,Buchholz S. Introduction to the CoNLL-2000 Shared Task: Chunking. In: Proceedings of CoNLL2000 and LLL-2000, Lisbon, Portugal, 2000. 127~132
  • 2[2]Steven A. Parsing by Chunks. In: Berwick, Abney, Tenny eds. Principle-Based Parsing: Kluwer Academic Publishers,1991. 257~278
  • 3[5]Ratnaparkhi A. A maximum entropy model for part-of-speech tagging. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, 1996
  • 4[6]Ratnaparkhi A. A simple introduction to maximum entropy models for natural language processing. Institute for Research in Cognitive Science, University of Pennsylvania : Technical Report 9708, 1997
  • 5[7]Berger A, Pietra S D, Pietra V D. A maximum entropy approach to natural language processing. Computational Linguistics, 1996,22(1):39~71
  • 6[8]Skut, Wojciech, Thorsten Brants. A maximum entropy partial parser for unrestricted text. In:Proceedings of the 6th Workshop on Very Large Corpora, Montreal, Canada, 1998. 143~151
  • 7[10]Abney S. Part-of-speech tagging and partial parsing. In:Church K, Young S, Bloothooft G eds. Corpus-Based Methods in Language and Speech, An ELSNET volume, Dordrecht:Kluwer Academic Publishers, 1996. 119~136
  • 8[11]Church K W. A stochastic parts program and noun phrase parser for unrestricted text. In:Proceedings of the 2nd Conference on Applied Natural Language Processing, Texas, USA, 1988.136~143
  • 9[12]Ramshaw L A, Marcus M P. Text chunking using transformation-based learning. In: Proceedings of ACL Third Workshop on Very Large Corpora, Cambridge, USA, 1995. 82~94
  • 10[13]Darroch J N, Ratcliff D. Generalized iterative scaling for loglinear models. Annals of Mathematical Statistics, 1972,43(5):1470~1480

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