Testing the Assumptions of Active Learning for Translation Tasks with Few Samples

Lorenzo Jaime Yu Flores, Cesare Spinoso di-Piano, Ori Ernst +2

Active learning (AL) is a training paradigm for selecting unlabeled samples for annotation to improve model performance on a test set, which is useful when only a limited number of…