This research work aimed at making use of Machine Translation to help students avoid some syntactic, semantic and pragmatic common errors in translation from English into Arabic. Participants were a hundred and five freshmen who studied the "Translation Common Errors Remedial Program" prepared by the researchers. A testing kit that included "A Translation Common Errors Test" booklet, a table of specifications, scoring criteria and a model answer key were prepared by the researchers as well. Besides, a ten-session "Translation Common Errors Remedial Program" also designed by the researchers was implemented. The theoretical basis of that program was the Presentation-Practice-Production (PPP) method. The one-group pre-posttest design was adopted. Statistically, the Paired-samples t-test was utilized to manipulate the collected data. It was found that the "Translation Common Errors Remedial Program," which employed Machine Translation as a model, was effective in bettering participants' translated texts syntactically, semantically and pragmatically. The Researchers added their own observations and concluded with some recommendations for further research.