# SERRANT: a syntactic classifier for English Grammatical Error Types

arXiv: https://arxiv.org/abs/2104.02310 · HTML: https://mlsanity.com/paper/2104.02310/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- Builds on 5 of its 15 references that are in the map.
- First posted on arXiv 6 Apr 2021.

## Builds on (most cited first, 5 of 5)

- [Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task](https://mlsanity.com/paper/1804.05940/) (2018)
- [Automatic Metric Validation for Grammatical Error Correction](https://mlsanity.com/paper/1804.11225/) (2018)
- [Universal Dependencies for Learner English](https://mlsanity.com/paper/1605.04278/) (2016)
- [Classifying Syntactic Errors in Learner Language](https://mlsanity.com/paper/2010.11032/) (2020)
- [Learning to combine Grammatical Error Corrections](https://mlsanity.com/paper/1906.03897/) (2019)

## Built on by (most cited first, 6 of 6)

- [Grammatical Error Correction: A Survey of the State of the Art](https://mlsanity.com/paper/2211.05166/) (2022)
- [Automatic Error Type Annotation for Arabic](https://mlsanity.com/paper/2109.08068/) (2021)
- [EDEN: Empathetic Dialogues for English learning](https://mlsanity.com/paper/2406.17982/) (2024)
- [Advancing Automated Speaking Assessment Leveraging Multifaceted Relevance and Grammar Information](https://mlsanity.com/paper/2506.16285/) (2025)
- [Some Grammatical Errors are Frequent, Others are Important](https://mlsanity.com/paper/2205.05730/) (2022)
- [IdEALS: Idiomatic Expressions for Advancement of Language Skills](https://mlsanity.com/paper/2305.13637/) (2023)

## 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.