Is there any metric to measure how good a parallel corpus is for a translation task without actually training and testing on it? If I have more than one corpora how can I predetermine that corpora X might give a better translation output than others
We are given two trained CNNs, one with slightly better test error but with much larger training loss than the other one. Which one do we prefer? Why?