• Unsupervised: We use the unsupervised SMT system proposed by <cite>Artetxe et al. (2019)</cite> , which induces an initial phrase-table using cross-lingual word embedding mappings, combines it with an n-gram language model, and further improves the resulting model through unsupervised tuning and joint refinement.