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罗塞塔石碑与机器翻译 被引量:7

Rosetta Stone and Machine Translation
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摘要 解读Rosetta石碑依据的平行语料库方法是非常具有启发性的,这样的方法现在已经成为当代机器翻译方法的基础,它既是统计机器翻译方法的基础,也是神经机器翻译方法的基础。神经机器翻译需要大规模语言数据资源的支持,语言数据资源的匮乏是当前神经机器翻译面临的一个难题。 Parallel corpus-based decipherment of Rosetta Stone is a heuristic approach.This approach becomes the basis of contemporary machine translation technology.It is not only the basis of statistic machine translation,but also the basis of neural machine translation.The neural machine translation needs the support of large scale data resource of languages.The poverty of data resource of languages is a difficult problem of present neural machine translation.
作者 冯志伟 Feng Zhi-wei(Hangzhou Normal University,Hangzhou 311121,China)
机构地区 杭州师范大学
出处 《外语学刊》 CSSCI 北大核心 2020年第1期1-17,共17页 Foreign Language Research
关键词 Rosetta石碑 语言数据资源 统计机器翻译 噪声信道模型 神经机器翻译 神经网络 数据资源匮乏 Rosetta Stone data resource of languages Statistic Machine Translation noisy channel model Neural Machine Translation neural network poverty of data resources
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