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It has been proved that large scale realistic Knowledge Based MachineTranslation applications require acquisition of huge knowledge about languageand about the world. This knowledge is encoded in computational grammars,lexicons and domain models. Another approach which avoids the need forcollecting and analyzing massive knowledge, is the Example Based approach,which is the topic of this paper. We show through the paper that using ExampleBased in its native form is not suitable for translating into Arabic. Thereforea modification to the basic approach is presented to improve the accuracy ofthe translation process. The basic idea of the new approach is to improve thetechnique by which template-based approaches select the appropriate templates.

The Best Templates Match Technique For Example Based Machine Translation