From a memory perspective, one multilingual BTS model will take less space than separate FF models.
from a runtime perspective, a pipeline of our models doing language identification, word segmentation, and then POS tagging would still be faster than a single instance of the deep LSTM BTS model, by about 12x in our FLOPs estimate.