What do Neural Machine Translation Models Learn about Morphology?
Table 5: POS and morphology accuracy on predicted tags using word- and char-based representations from different layers of *-to-En systems.
['[EMPTY]', 'Layer 0', 'Layer 1', 'Layer 2']
We report here results that were omitted from the paper due to the space limit. As noted in the paper, all the results consistently show that i) layer 1 performs better than layers 0 and 2; and ii) char-based representations are better than word-based for learning morphology.