With the surge of word embeddings trained by neural networks, recent approaches that learn bilingual word representations from non-parallel data for bilingual lexicon induction have also shown promise (Mikolov et al., 2013b;Vulić and Moens, 2015).
none of the existing methods explicitly considers multiple alternative translation, i.e., the phenomenon that one source language word may have multiple possible translations in the target language.