2019
Unsupervised Hyper-alignment for Multilingual Word Embeddings
ICLR 2019poster
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. This paper extends this line of work to the problem of aligning…