To map the BC score onto a range from 0 to 1, we first normalize each weight in the vector by dividing it by the sum of the weights.
we get the probability distribution of a phrase pair or the phrase pairs in the dev data across all subcorpora: To further improve the similarity score, we apply absolute discounting smoothing when calculating the probability distributions p i (f, e).