Finally, we aim to improve top-1 accuracy values by using language models to find the correct character among the second to k-th prediction. As can be seen in the table in Section 3, there is a significant jump from top-1 to top-2 accuracy, meaning that for wrong predictions the gold character is often predicted in the second position.