(2015) in image-to-caption translation to fix Φ = 1 for all source words, which means that we directly use the sum of previous alignment probabilities without normalization as coverage for each word, as done in (Cohn et al., 2016).
in machine translation, different types of source words may contribute differently to the generation of target sentence.