Despite the exciting work accomplished over the past decade in the field of Statistical Machine Translation (SMT), the authors are still far from the point of being able to say that machine translation fully meets the needs of real-life users. In a previous study, the authors have shown how a SMT engine could benefit from terminological resources, especially when translating texts very different from those used to train the system. In the present paper, they discuss the opening of SMT to examples automatically extracted from a Translation Memory (TM). The authors report results on a fair-sized translation task using the database of a commercial bilingual concordancer.