We propose a simple alignment loss function to align the embedding spaces of two different languages.
we train an English encoder on NLI, and train a target encoder by minimizing the loss: where (x, y) corresponds to the source and target sentence embeddings, (x c , y c ) is a contrastive term (i.e.