Towards an Arabic-English Machine-Translation Based on Semantic Web
This work targets the problem of Arabic-English machine translation, which is incremental as it builds on existing methods by incorporating semantic approaches.
The paper addresses the lack of machine translation for Arabic-English by proposing a roadmap for a translation system based on semantic web technologies, aiming to enhance translation quality.
Communication tools make the world like a small village and as a consequence people can contact with others who are from different societies or who speak different languages. This communication cannot happen effectively without Machine Translation because they can be found anytime and everywhere. There are a number of studies that have developed Machine Translation for the English language with so many other languages except the Arabic it has not been considered yet. Therefore we aim to highlight a roadmap for our proposed translation machine to provide an enhanced Arabic English translation based on Semantic.