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Grammatical Error Correction

26 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.

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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

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

Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data

NAACL 2019 2019 zhawe01/fairseq-gec

It is the first time copying words from the source context and fully pre-training a sequence to sequence model are experimented on the GEC task.

DENOISING GRAMMATICAL ERROR CORRECTION MACHINE TRANSLATION MULTI-TASK LEARNING

Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data

NAACL 2019 zhawe01/fairseq-gec

It is the first time copying words from the source context and fully pre-training a sequence to sequence model are experimented on the GEC task.

DENOISING GRAMMATICAL ERROR CORRECTION MACHINE TRANSLATION MULTI-TASK LEARNING

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

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

Neural Quality Estimation of Grammatical Error Correction

EMNLP 2018 nusnlp/neuqe

We also show that a state-of-the-art GEC system can be improved when quality scores are used as features for re-ranking the N-best candidates.

GRAMMATICAL ERROR CORRECTION MACHINE TRANSLATION

Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study

3 Jul 2018getao/human-performance-gec

Neural sequence-to-sequence (seq2seq) approaches have proven to be successful in grammatical error correction (GEC).

GRAMMATICAL ERROR CORRECTION