We also notice that several statistical alignment algorithms, such as IBM Model-1 (Brown et al., 1993), operate under the same data assumptions.
we find that using the translation probabilities learnt by Model-1 as the cross-lingual similarity function (in place of the commonly-used cosine similarity between word embeddings) performs on-par with state-of-the-art cross-lingual embeddings on word alignment and bilingual dictionary induction tasks.