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This research presents an approach for an English-to-Arabic Machine Translation System based on Building correct grammar and phrase structures first and then automatically deriving Translation Rules for phrase translation. For every English phrase, the grammar is first analysed and then a corresponding Arabic translation is given which would be used by the machine learning system to produce a translation rule with the help of a dictionary and the user. These same derived rules can partially be used for other phrase sequences especially in the case of a phrase consisting of a number of smaller phrases and thus implemeting the idea of recusive phrase strucutres. The approach was implemented and tested on simple cases and the results are given which indicate that this approach is successful for small to medium phrases. Our approach is an enhancement on existing phrase translation techniques because it analyses the source language grammar first, then builds a syntactic structure before proceeding with the machine learning process of learning the translation rules. Our approach is enhancement on existing phrase based translations in two directions: the grammar editing before the translation rules and the derived translation rules can be complete for complete phrases or are rules for translating smaller phrases which are subsets of larger phrases. The approach has improved the speed and correctness of phrase translations

Pre-editing and Recursive-Phrase Composites for a Better English-to-Arabic Machine Translation