In order to avoid overfitting, NMT models are often trained with L 1 or L 2 regularization, as well as other forms of regularization such as momentum training or dropout (Srivastava et al., 2014;Miceli Barone et al., 2017).
these regularization methods are very general and do not carry any language specific information.