Adapting Multilingual Neural Machine Translation to Unseen Languages
Table 3: Results for LRL→en ZST using model trained with a single pair Select-one, and all but the test LRL (MNMT).
['[EMPTY]', 'Strategy', 'az', 'be', 'gl', 'sk']
that again attests the superiority of the Transformer model. The better performance is particularly true for the MNMT models that are trained using all the available data but the test language. Thus, it is important to emphasize that the multilingual model is the best suit for further investigation by applying the data-selection procedures with the two adaptation options.