We treat each individual language as a task and train a joint model for all the tasks. We seek to learn a set of shared character embeddings for taggers in both languages together through optimization of a joint loss function that combines the high-resource tagger and the low-resource one. 
 Question: How are character representations from various languages joint?
shared character embeddings for taggers in both languages together through optimization of a joint loss function