Machine Translation System on the Pair of Arabic / English

our work fits into the project entitled "TELA": an environment for learning the Arabic language computer-assisted, which covers many issues related to the use of words in Arabic. This environment contains several sub-systems whose purpose is to provide an important educational function by allowing the learner to discover information beyond the scope of the phrase of the year. In these subsystems there are semantic analyzers which have several features and multifunctions (Arabic-English machine translation, Arabic-English machine translation, derivation, and conjugation, etc.). Therefore, in this article we focused upon the design of machine translation systems on the pair of Arabic / English based on statistical models. Keywords—learning; Arabic-English machine translation; statistical models