  Recently unsupervised Bilingual Lexicon Induction (BLI) without any parallel
corpus has attracted much research interest. One of the crucial parts in
methods for the BLI task is the matching procedure. Previous works impose a too
strong constraint on the matching and lead to many counterintuitive translation
pairings. Thus, We propose a relaxed matching procedure to find a more precise
matching between two languages. We also find that aligning source and target
language embedding space bidirectionally will bring significant improvement. We
follow the previous iterative framework to conduct experiments. Results on
standard benchmark demonstrate the effectiveness of our proposed method, which
substantially outperforms previous unsupervised methods.
