Training time is equivalent to choosing γ = 1, and larger values of α result in decreased BLEU, while smaller values result in significantly increased normalizer risk.
we see that we can achieve smaller normalizer variance and an order-of-magnitude decrease in training time with a loss of only 0.1 BLEU.