A statistical approach to French/English translation

P. Brown, J. Cocke, S. D. Pietra, V. D. Pietra, F. Jelinek, R. Mercer, P. Roossin
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引用次数: 51

Abstract

In this paper we will outline an approach to automatic translation that utilizes techniques of statistical information extraction from large data bases. These self-organizing techniques have proven successful in the field of automatic speech recognition [1,2,3]. Statistical approaches have also been used recently in lexicography [4] and natural language processing [3,5,6]. The idea of automatic translation by statistical (information theoretic) methods was proposed many years ago by Warren Weaver [7].
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法英翻译的统计方法
在本文中,我们将概述一种利用从大型数据库中提取统计信息技术的自动翻译方法。这些自组织技术在自动语音识别领域已经被证明是成功的[1,2,3]。统计方法最近也被用于词典编纂[4]和自然语言处理[3,5,6]。沃伦·韦弗(Warren Weaver)多年前就提出了利用统计(信息理论)方法进行自动翻译的想法[7]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Translation Analysis and Translation Automation Using cognates to align sentences in bilingual corpora A statistical approach to French/English translation
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