A large number of machine translation approaches have recently been developed to facilitate the fluid migration of content across languages. However, the literature suggests that many obstacles must still be dealt with to achieve better automatic translations. One of these obstacles is lexical and syntactic ambiguity. A promising way of overcoming this problem is using Semantic Web technologies. This article presents the results of a systematic review of machine translation approaches that rely on Semantic Web technologies for translating texts. Overall, our survey suggests that while Semantic Web technologies can enhance the quality of machine translation outputs for various problems, the combination of both is still in its infancy.

最近已经开发出许多机器翻译方法以促进内容在各种语言之间的流畅迁移。但是，文献表明，要实现更好的自动翻译，仍然必须解决许多障碍。这些障碍之一是词汇和句法歧义。解决此问题的一种有希望的方法是使用语义Web技术。本文介绍了依靠语义Web技术翻译文本的机器翻译方法的系统综述。总体而言，我们的调查表明，尽管语义Web技术可以提高针对各种问题的机器翻译输出的质量，但两者的结合仍处于起步阶段。