So it is not surprising that cross-language extensions of such models (crosslanguage word embeddings) rapidly gained popularity in the NLP community (Vulić and Moens, 2013), proving their effectiveness in certain crosslanguage NLP tasks (Upadhyay et al., 2016).
the task is to predict the similarity score for a word a in language A and a word b in language B.