Before revision:  Many augmentation techniques have been proposed to improve the performance of state-of-the-art (SOTA) systems in new domains that lack the necessary amount of data for training.
After revision:  Many augmentation techniques have been proposed to create synthetic data to improve model performance in new domains that lack the necessary amount of data for training.