This setup allows us to compare our model directly with the adversarial model of <cite>Conneau et al. (2018)</cite> , putting the effect of finetuning aside. Table 5 presents the ablation results for En-Es, En-De, and En-It in both directions. The first row presents the results of <cite>Conneau et al. (2018)</cite> <cite>that</cite> uses adversarial training to map the word embeddings.