The results in Section 5.2 have shown that the transformations-based generalization strategy used by TransWeight works well across different languages and phrase types.
this shows that treating similar words similarly-and not each word as a semantic island-has a twofold benefit: (i) it leads to good generalization capabilities when the training data are scarce and (ii) gives the model the possibility to accommodate a large number of training examples without increasing the number of parameters.