Before revision:  We found that imbalanced trainingdata poses task interference between high and low resource languages , characterized by nearly orthogonal gradients for major parameters and the optimization trajectory being mostly dominated by high resource .
After revision:  We found that imbalanced trainingdata poses task interference between high and low resource languages where the found multilingual solution is often sub-optimal for low resources .