Since the script and sequence structure of English is very different from these low-resource languages, the addition of English to the limited target language training data yields a considerably noisy corpus.
we design a new neural architecture which integrates multi-level adversarial transfer into a Bi-LSTM-CRF to improve low-resource name tagging.