Recently, the rapid development of artificial intelligence (AI) and computer technology has promoted the widespread application of intelligent translation systems in various industries, demonstrating enormous potential and important value. In the study and practice of French, the role of translation is irreplaceable. However, traditional French translation teaching is limited by resources, methods, and evaluation tools, making it difficult to meet the growing personalized learning needs of students. In view of this, this article designs an intelligent translation skill training and evaluation system based on deep learning (DL), injecting new impetus into French language teaching using advanced technology. This system can provide diverse translation exercises based on students’ specific abilities and needs, encouraging students to challenge themselves and make continuous progress in practice. At the same time, it can provide real-time feedback and evaluation of students’ performance, helping them to grasp their own translation skills in real time, identify problems, and make improvements. Experimental results have shown that the system can effectively evaluate students’ translation quality, not only improving their translation skills, but also enhancing their learning interest and enthusiasm.