When using our alignment process, our method is competitive with the TRANSLATE TRAIN baseline, suggesting that it might be possible to encode similarity between languages directly in the embedding spaces generated by the encoders.
these methods are still below the other machine translation baseline TRANSLATE TEST, which significantly outperforms the multilingual sentence encoder approach by up to 6% (Swahili).