Semantic natural language translation based on ontologies combination

One of the most important and difficult tasks is the automatic translation of human languages; is essentially due to the diversity of the contextual interpretation between diverse languages. In this paper we propose a new approach based on ontologies combination to translate a given text from a source language to another. The novelty of the proposed approaches is that it finds and resolves words' ambiguities by matching the contextual meaning of a given word in the source language by its equivalent word in the receiver language. Finally, we validate the proposed system by testing it on real data texts and the results are very encouraging especially on the disambiguation and interpretation steps.