2020
Unsupervised Multilingual Alignment using Wasserstein Barycenter
IJCAI 2020poster
We study unsupervised multilingual alignment, the problem of finding word-to-word translations between multiple languages without using any parallel data. One popular strategy is to reduce multilingual alignment to the much simplified bilingual setting, by picking one of the input languages as the p…