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Grammatical Error Correction

39 papers with code · Natural Language Processing

Grammatical Error Correction (GEC) is the task of correcting different kinds of errors in text such as spelling, punctuation, grammatical, and word choice errors.

GEC is typically formulated as a sentence correction task. A GEC system takes a potentially erroneous sentence as input and is expected to transform it to its corrected version. See the example given below:

Input (Erroneous) Output (Corrected)
She see Tom is catched by policeman in park at last night. She saw Tom caught by a policeman in the park last night.

( Image credit: Ge et al. )

Benchmarks

Greatest papers with code

GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors

LREC 2020 mhagiwara/github-typo-corpus

The lack of large-scale datasets has been a major hindrance to the development of NLP tasks such as spelling correction and grammatical error correction (GEC).

GRAMMATICAL ERROR CORRECTION SPELLING CORRECTION

Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction

ACL 2017 chrisjbryant/errant

Until now, error type performance for Grammatical Error Correction (GEC) systems could only be measured in terms of recall because system output is not annotated.

GRAMMATICAL ERROR CORRECTION

GECToR -- Grammatical Error Correction: Tag, Not Rewrite

WS 2020 grammarly/gector

In this paper, we present a simple and efficient GEC sequence tagger using a Transformer encoder.

GRAMMATICAL ERROR CORRECTION

A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction

26 Jan 2018nusnlp/mlconvgec2018

We improve automatic correction of grammatical, orthographic, and collocation errors in text using a multilayer convolutional encoder-decoder neural network.

GRAMMATICAL ERROR CORRECTION LANGUAGE MODELLING

Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task

NAACL 2018 grammatical/neural-naacl2018

Previously, neural methods in grammatical error correction (GEC) did not reach state-of-the-art results compared to phrase-based statistical machine translation (SMT) baselines.

DOMAIN ADAPTATION GRAMMATICAL ERROR CORRECTION MACHINE TRANSLATION TRANSFER LEARNING

Parallel Iterative Edit Models for Local Sequence Transduction

IJCNLP 2019 awasthiabhijeet/PIE

We present a Parallel Iterative Edit (PIE) model for the problem of local sequence transduction arising in tasks like Grammatical error correction (GEC).

GRAMMATICAL ERROR CORRECTION OPTICAL CHARACTER RECOGNITION

JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction

EACL 2017 keisks/jfleg

We present a new parallel corpus, JHU FLuency-Extended GUG corpus (JFLEG) for developing and evaluating grammatical error correction (GEC).

GRAMMATICAL ERROR CORRECTION