إطار عام يعتمد على التعلم العميق للترجمة الرقمية من العربية إلى الإنجليزية

This paper proposes a way to develop a machine translation system based on deep learning for the translation of Arabic texts into English.This system is for translating texts in the computer field, The proposed system contains six main stages and the system will be included in a database containing a bilingual dictionary (Arabic-English) containing terms in the field of Computer-based, the system was evaluated by human experts in addition to using the bleu scale, The system has been evaluated by comparing between manual and automatic translation and some measurements are used especially bleu measure.The manual translation is done by two human experts to check the translation quality in terms of the general form, content meaning, coherence of the phrases, and completeness of the.The final results proved that the proposed method achieved higher performance than other systems.