While modern machine translation has relied on large parallel corpora, a recent line of work has managed to train machine translation systems in an unsupervised manner, relying on monolingual corpora alone. In this talk, I will introduce cross-lingual word embedding mappings, which are the basis of these systems, and present our work on both unsupervised neural and statistical machine translation.