Furthermore, we show that, by coupling the ER model with shared multilingual embedding spaces (Mikolov et al., 2013a;Smith et al., 2017), we can also specialize distributional spaces for languages unseen in the training data in a zero-shot language transfer setup.
we show that an explicit retrofitting model trained with external constraints from one language can be successfully used to specialize the distributional space of another language.