Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
Table 1: Results of PBSMT at different iterations
['Model', 'BLEU Cased']
From comparing the results, we observe that back-translation can improve the quality of the phrase table significantly, but after five iterations, the phrase table has hardly improved. The PBSMT model at the sixth iteration is selected as the final PBSMT model.