Machine Translation Using Semantic Web Technologies: A Survey

Tracking #: 1694-2906

This paper is currently under review
Authors: 
Diego Moussallem
Axel-Cyrille Ngonga Ngomo
Matthias Wauer

Responsible editor: 
Philipp Cimiano

Submission type: 
Survey Article
Abstract: 
A large number of machine translation approaches has been developed recently with the aim of migrating content easily across languages. However, the literature suggests that many semantic boundaries have to be dealt with to achieve better automatic translations. A central issue that machine translation systems must handle is ambiguity. A promising way of overcoming this problem is using semantic web technologies. This article presents the results of a systematic review of approaches that rely on semantic web technologies within machine translation approaches. 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.
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