Before revision:   From competition proceedings, we see that deep learning methods can generalize to a large span of uncommon graphemes even when they are absent during training.
After revision:  From competition proceedings, we see that deep-learning methods can generalize to a large span of uncommon graphemes even when they are absent during training.