SERRANT: a syntactic classifier for English Grammatical Error Types
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Abstract (arXiv)
SERRANT is a system and code for automatic classification of English grammatical errors that combines SErCl and ERRANT. SERRANT uses ERRANT's annotations when they are informative and those provided by SErCl otherwise.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 5 of its 15 references that are in the map. First posted on arXiv 6 Apr 2021.
Builds on
5 of 15 references.
References · 5
- 2018Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Taskcited by 56
- 2018Automatic Metric Validation for Grammatical Error Correctioncited by 17
- 2016Universal Dependencies for Learner Englishcited by 11
- 2020Classifying Syntactic Errors in Learner Languagecited by 11
- 2019Learning to combine Grammatical Error Correctionscited by 9
Built on by
Citing papers per year: 2021: 1; 2022: 2; 2023: 1; 2024: 1; 2025: 1.
6 papers.
- 2022Grammatical Error Correction: A Survey of the State of the Artcited by 43
- 2021Automatic Error Type Annotation for Arabiccited by 21
- 2024EDEN: Empathetic Dialogues for English learningcited by 5
- 2025Advancing Automated Speaking Assessment Leveraging Multifaceted Relevance and Grammar Informationcited by 2
- 2022Some Grammatical Errors are Frequent, Others are Importantcited by 0
- 2023IdEALS: Idiomatic Expressions for Advancement of Language Skillscited by 0
- 2025Advancing Automated Speaking Assessment Leveraging Multifaceted Relevance and Grammar Information19 Jun 2025
- 2024EDEN: Empathetic Dialogues for English learning25 Jun 2024
- 2023IdEALS: Idiomatic Expressions for Advancement of Language Skills23 May 2023
- 2022Grammatical Error Correction: A Survey of the State of the Art9 Nov 2022
- 2022Some Grammatical Errors are Frequent, Others are Important11 May 2022
- 2021Automatic Error Type Annotation for Arabic16 Sep 2021