In any case, it is our proposed method with the orthogonality constraint and a global preprocessing with length normalization followed by dimensionwise mean centering that achieves the best accuracy in the word translation induction task. Moreover, it does not suffer from any considerable degradation in monolingual quality, with an anecdotal drop of only 0.07% in contrast with 2.86% for Mikolov et al. (2013b) and 7.02% for <cite>Faruqui and Dyer (2014)</cite> .