translation all was less accurate yeah yeah I think that comes back to the trade-off between diversity and validity if your translation model is terrible then the actual sample that you generate is probably not going to be a valid sample for the label that it's supposed to be assigned to but if you don't change it enough then you're not really adding any new signal so so yeah there's some inherent trade-off there I think so yeah maybe using a slightly worse translation model would be effective definitely not using a terrible one but