Most methods to learn these multilingual word embeddings make use of large parallel corpora (Gouws et al., 2015;Luong et al., 2015), but there have been several proposals to relax this requirement, given its scarcity in most language pairs.
a good solution would map source language words close to their translation equivalents in the target language space, and they would thus have their corresponding embeddings nearby, making the optimization value large.