For models trained on the disjoint supervision setting, we use the character vocabulary provided for each language in the MWC dataset (see Kawakami et al.
since morphological features are annotated at the word-level, we convert these annotations to the character level by placing each annotated word's tags as supervision on the first character (which we found to outperform supervising the last character in preliminary results).