Mining a Comparable Text Corpus for a Vietnamese-French Statistical Machine Translation System
Mining a Comparable Text Corpus for a Vietnamese-French Statistical Machine Translation System
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为越南法统计机器翻译系统挖掘可比文本语料库
DOI：
10.3115/1626431.1626466
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
E. Castelli
中科院分区：
文献类型：
--
作者：
T. Do;V. Le;B. Bigi;L. Besacier;E. Castelli
本文介绍了我们构建越南-法国统计机器翻译系统的首次尝试。由于越南语是一种资源贫乏的语言，我们专注于建立一个大型的越南语-法语平行语料库。提出了一种基于发表日期、特殊词和句子对齐结果的文档对齐方法。本文还提出了将获得的平行语料库应用于越南语-法语统计机器翻译系统的构建，其中讨论了越南语不同单位（音节、单词或其组合）的使用。
This paper presents our first attempt at constructing a Vietnamese-French statistical machine translation system. Since Vietnamese is an under-resourced language, we concentrate on building a large Vietnamese-French parallel corpus. A document alignment method based on publication date, special words and sentence alignment result is proposed. The paper also presents an application of the obtained parallel corpus to the construction of a Vietnamese-French statistical machine translation system, where the use of different units for Vietnamese (syllables, words, or their combinations) is discussed.