Unsupervised Hyper-alignment for Multilingual Word Embeddings

ICLR 2019 Jean AlauxEdouard GraveMarco CuturiArmand Joulin

We consider the problem of aligning continuous word representations, learned in multiple languages, to a common space. It was recently shown that, in the case of two languages, it is possible to learn such a mapping without supervision... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.