The Spanish results also suggest that in the zero-shot case, the multilingual encoder embeddings lead to better results than the XLU embeddings.
also the models that use cross-lingual embeddings perform very poorly and contrary to the case where we have some training data in the target language, in the zero-shot scenario, the translation method works considerably better than any other of the transfer methods.