This thesis explores the possible interactions between controlled language and statistical machine translation. Building on some previous research done at Autodesk Development Sàrl., we conducted a separate short research to determine whether it would be possible to improve SMT output by editing the input texts according to CL rules (in particular, AcrocheckTM rules). Although these results are not conclusive due to the limited extent of the tests performed, this preliminary study has shown that the impact of CL on SMT systems (particularly, Moses) is slightly positive, rarely negative. The perspectives are very optimistic and research in this sense may bear fruits. Future lines of research are suggested.