Interestingly, apart from a few exceptions, the results are rather good for all the pairs of training and test language.
the use of features like frequencies, probabilities or mutual information of compound parts is truly language-independent and the models learned from one language can safely be applied for decompounding a different language without the need of annotating a gold-standard for it.