Character Transformations for Non-Autoregressive GEC Tagging

Propose character-based method to generate target transformation instructions for GEC tagging models, as an alternative to autoregressive models. Compare character transformations to previously used word-level transformation instructions and have shown that character-based rules have better coverage and scale better in Czech, German and Russian.