Even for a high-resource language like Chinese, its vocabulary size 10k in the multilingual BERT is only half the size of that in the Chinese BERT.
the accuracy of the mapping between two regular English embeddings that are pre-trained using similar methods (e.g., CBOW or SkipGram (Mikolov et al., 2013)) could be above 95% .