Multi Source Neural Translation
We build a multi source machine translation model and train it to maximize the probability of a target English string given French and German sources. Using the neural encoder decoder framework, we explore several combination methods and report up to +4.8 Bleu increases on top of a very strong attention based neural translation model.
NAACL