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  "author": "Milan Straka",
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  "author": "Milan Straka",
            
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  "doi": "10.57702/amom6wk9",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Jakub N\u00e1plava",
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      "extra_author": "Jakub N\u00e1plava",
            
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    {
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      "extra_author": "Jana Strakov\u00e1",
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      "extra_author": "Jana Strakov\u00e1",
            
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      "orcid": ""
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      "description": "",
            
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      "title": "Grammatical Error Correction"
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      "title": "Grammatical Error Correction"
            
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  "name": 
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  "name": 
            
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"character-transformations-for-non-autoregressive-gec-tagging",
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"character-transformations-for-non-autoregressive-gec-tagging",
            
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  "notes": "Propose character-based method to generate target 
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  "notes": "Propose character-based method to generate target 
            
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transformation instructions for GEC tagging models, as an alternative 
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transformation instructions for GEC tagging models, as an alternative 
            
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to autoregressive models. Compare character transformations to 
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to autoregressive models. Compare character transformations to 
            
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previously used word-level transformation instructions and have shown 
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previously used word-level transformation instructions and have shown 
            
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that character-based rules have better coverage and scale better in 
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that character-based rules have better coverage and scale better in 
            
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Czech, German and Russian.",
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Czech, German and Russian.",
            
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      "display_name": "character-based",
            
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      "name": "character-based",
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      "name": "character-based",
            
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  ],
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  ],
            
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  "title": "Character Transformations for Non-Autoregressive GEC 
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  "title": "Character Transformations for Non-Autoregressive GEC 
            
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Tagging",
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Tagging",
            
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  "version": ""
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  "version": ""
            
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}
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}