Unsupervised approaches to learning crosslingual word embeddings are based on the assumption that monolingual word embedding graphs are approximately isomorphic, that is, after removing a small set of vertices (words) (Mikolov et al., 2013b; Barone, 2016; Zhang et al., 2017; <cite>Conneau et al., 2018</cite>) .