Transitioning entirely to neural machine translation
Recently, self-studying machines have been used in various fields. For example, we can see black and white pictures painted by neural networks more frequently these days.
But, we have to pay attention to what kind of information we should give to neural machines.
False or Biased information may lead those machines to come up with inaccurate answer.
Especially when people believe or rely on neural machines' answer, we have to be care about that.