This typically uses nearest neighbor retrieval from the source language into the target language, so The underlying optimization objective is independent from the initial dictionary, and the algorithm is guaranteed to converge to a local optimum of it.
the underlying idea is to independently train the embeddings in different languages using monolingual corpora, and then map them to a shared space through a linear transformation.