In the first learning stage, we use the initial word alignments to generate positive and negative instances for training a classifier that predicts alignment links via crosslingual relatedness.
the output of this stage is a set of (k, i, j, Pos or Neg) tuples, where Pos or Neg denotes whether (e k i , f k j ) is a valid alignment link in (E k , F k ).