Our experiments on three diverse morphological tasks with 16 typologically diverse languages of varying degrees of data scarcity have validated that subword-level knowledge is indeed crucial for improved task performance in such lowdata setups.
the evaluation metric is per-label accuracy, i.e., a word's morphological tag is either predicted correctly or not, and there is no partial credit for the correct prediction of only a subset of features.