Before revision:  We find these models learn to recognize many features with high accuracy ; crucially, a few minimal pairs can be nearly as effective for training as thousands of labeled examples.
After revision:  We find these models learn to recognize many features with high accuracy , and that a few minimal pairs can be nearly as effective for training as thousands of labeled examples.