Hyperparameters We use the same setup as<cite> Plank and Agić (2018)</cite> , i.e., 10 epochs, word dropout rate (p=.25) and l=40-dimensional lexicon embeddings for DSDS, except for downscaling the hidden dimensionality of the character representations from 100 to 32 dimensions.