Multilingual neural machine translation offers exciting possibilities to achieve interlingual representations. However, current approaches only accomplish this under limited conditions. In this project, Christof proposes novel translation models that allows us to exploit multi-parallel corpora, resulting in better interlingual representations and better translation quality.