机器翻译从日语和法语到越南语,语族之间的差异

T. Do, M. Utiyama, E. Sumita
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引用次数: 4

摘要

虽然越南语是世界上超过9000万人的语言(2014年),但越南语仍然被认为是一种资源匮乏的语言。越南语NLP在文本和语音处理方面仍然缺乏相关资源,尤其是越南语机器翻译方面的研究非常少。本文首次尝试收集和构建法语-越南语和日语-越南语统计机器翻译系统。法语和日语这两种不同的语言在越南语相关的机器翻译研究中较少受到关注。与越南语相比,这两种语言之间的差异可以带来有趣的观察。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine translation from Japanese and French to Vietnamese, the difference among language families
Although Vietnamese is spoken language of more than 90 million people in the world (in 2014), Vietnamese language is still considered as a low-resourced language. Vietnamese NLP still lacks of resources for text and speech processing, especially research on machine translation for Vietnamese is very rare. This paper presents our first attempt to collect and construct French-Vietnamese and Japanese-Vietnamese statistical machine translation systems. These two different languages, French and Japanese, are less focused in Vietnamese-related machine translation research. The differences between these two languages in comparison with Vietnamese can bring out interesting observations.
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