The current study improves the state of the art in cross-lingual word embeddings by considering the impact of orthographic similarity between cognates.
the use of the Weighted Levenshtein Distance combined with orthogonalisation of the translation matrix and generalised correction for hubness can considerably improve the state of the art in induction of bilingual lexicons.