Since this model computes the similarity with each target word separately for the source word in isolation and its local context, and combines the ob-tained similarity scores after the computations, this model is called Late-Fusion.
in this particular work we present results obtained by a multilingual probabilistic topic model called bilingual LDA (Mimno et al., 2009;Ni et al., 2009;De Smet and Moens, 2009).