SOTAVerified

Grammatical Error Correction

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.|

Papers

Showing 251300 of 415 papers

TitleStatusHype
Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus0
Treelet Probabilities for HPSG Parsing and Error Correction0
Tuning a Grammar Correction System for Increased Precision0
UdS at CoNLL 2013 Shared Task0
UM-Checker: A Hybrid System for English Grammatical Error Correction0
Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models0
Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction0
Using Context in Neural Machine Translation Training Objectives0
UW-Stanford System Description for AESW 2016 Shared Task on Grammatical Error Detection0
Weakly Supervised Grammatical Error Correction using Iterative Decoding0
GEC into the future: Where are we going and how do we get there?0
Gender Bias and Universal Substitution Adversarial Attacks on Grammatical Error Correction Systems for Automated Assessment0
Generating artificial errors for grammatical error correction0
Generating Diverse Corrections with Local Beam Search for Grammatical Error Correction0
Generating Inflectional Errors for Grammatical Error Correction in Hindi0
GPT-3.5 for Grammatical Error Correction0
Grammatical Error Correction and Style Transfer via Zero-shot Monolingual Translation0
Grammatical Error Correction: Are We There Yet?0
Grammatical Error Correction as GAN-like Sequence Labeling0
Grammatical Error Correction as Multiclass Classification with Single Model0
Grammatical Error Correction: A Survey of the State of the Art0
Grammatical Error Correction Considering Multi-word Expressions0
Grammatical Error Correction for Low-Resource Languages: The Case of Zarma0
Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses0
Grammatical Error Correction: Machine Translation and Classifiers0
Grammatical Error Correction Using Feature Selection and Confidence Tuning0
Grammatical error correction using hybrid systems and type filtering0
Grammatical Error Correction Using Integer Linear Programming0
Grammatical error correction using neural machine translation0
Grammatical Error Correction Using Pseudo Learner Corpus Considering Learner's Error Tendency0
Grammatical Error Correction via Mixed-Grained Weighted Training0
Grammatical Error Correction with Neural Reinforcement Learning0
Grammatical Error Detection and Correction using a Single Maximum Entropy Model0
Grammatical error detection in transcriptions of spoken English0
Grammatical Error Feedback: An Implicit Evaluation Approach0
Grammatical Error Generation Based on Translated Fragments0
Ground Truth for Grammatical Error Correction Metrics0
Helping Our Own: NTHU NLPLAB System Description0
Heterogeneous Recycle Generation for Chinese Grammatical Error Correction0
How do you correct run-on sentences it's not as easy as it seems0
How Far are We from Fully Automatic High Quality Grammatical Error Correction?0
How Good (really) are Grammatical Error Correction Systems?0
HTEC: Human Transcription Error Correction0
Human Evaluation of Grammatical Error Correction Systems0
IdEALS: Idiomatic Expressions for Advancement of Language Skills0
IITB System for CoNLL 2013 Shared Task: A Hybrid Approach to Grammatical Error Correction0
IJCNLP-2017 Task 1: Chinese Grammatical Error Diagnosis0
IMPARA-GED: Grammatical Error Detection is Boosting Reference-free Grammatical Error Quality Estimator0
Improving Chinese Grammatical Error Correction with Corpus Augmentation and Hierarchical Phrase-based Statistical Machine Translation0
Improving Grammatical Error Correction for Multiword Expressions0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Ensembles of best 7 models + GRECO + GTP-rerankF0.572.8Unverified
2Majority-voting ensemble on best 7 modelsF0.571.8Unverified
3GRECO (voting+ESC)F0.571.12Unverified
4GEC-DI (LM+GED)F0.569.6Unverified
5Unsupervised GEC + cLang8F0.569.6Unverified
6ESCF0.569.51Unverified
7T5F0.568.87Unverified
8MoECEF0.567.79Unverified
9SynGECF0.567.6Unverified
10Sequence tagging + token-level transformations + two-stage fine-tuning (+BERT, RoBERTa, XLNet)F0.566.5Unverified
#ModelMetricClaimedVerifiedStatus
1Majority-voting ensemble on best 7 modelsF0.581.4Unverified
2GRECO (voting+ESC)F0.580.84Unverified
3ESCF0.579.9Unverified
4RedPenNetF0.577.6Unverified
5clang_large_ft2-gectorF0.577.1Unverified
6Unsupervised GEC + cLang8F0.576.5Unverified
7DeBERTa + RoBERTa + XLNetF0.576.05Unverified
8MoECEF0.574.07Unverified
9Sequence tagging + token-level transformations + two-stage fine-tuning (+RoBERTa, XLNet)F0.573.7Unverified
10BEA CombinationF0.573.2Unverified
#ModelMetricClaimedVerifiedStatus
1Llama + 1M BT + goldF0.576.75Unverified
2mT5-based multimodal MoEF0.576.3Unverified
3gT5 xxlF0.575.96Unverified
4TransformerF0.573.71Unverified
5Transformer - synthetic pretrain onlyF0.551.41Unverified
6Multilayer Convolutional Encoder-DecoderF0.543.35Unverified
#ModelMetricClaimedVerifiedStatus
1VERNetGLEU62.1Unverified
2Transformer + Pre-train with Pseudo Data + BERTGLEU62Unverified
3SMT + BiGRUGLEU61.5Unverified
4Copy-augmented Model (4 Ensemble +Denoising Autoencoder)GLEU61Unverified
5TransformerGLEU59.9Unverified
6CNN Seq2SeqGLEU57.47Unverified
#ModelMetricClaimedVerifiedStatus
1Llama + 1M BT + goldF0.574.09Unverified
2mBART-based model with synthetic dataF0.568.17Unverified
3mT5 large + 10M synthF0.568.09Unverified
4RedPenNetF0.567.71Unverified
5ChatGPT (zero-shot)F0.527.4Unverified
#ModelMetricClaimedVerifiedStatus
1GRECO (vote+ESC)F0.585.21Unverified
2SMT + BiGRUF0.572.04Unverified
3CNN Seq2SeqF0.570.14Unverified
#ModelMetricClaimedVerifiedStatus
1CNN Seq2Seq + Quality EstimationF0.556.52Unverified
2TransformerF0.555.8Unverified
3+ BIFI with no criticF0.518.7Unverified
#ModelMetricClaimedVerifiedStatus
1CNN Seq2Seq + Fluency Boost and inferenceGLEU62.37Unverified
2CNN Seq2Seq + Fluency BoostF0.561.34Unverified
3+ BIFI (ours)F0.542.4Unverified
#ModelMetricClaimedVerifiedStatus
1TransformerGLEU59.9Unverified
2CNN Seq2SeqGLEU57.47Unverified
#ModelMetricClaimedVerifiedStatus
1Llama + 1M BT + goldF0.569.97Unverified
#ModelMetricClaimedVerifiedStatus
1STG-Jointexact match34.1Unverified
#ModelMetricClaimedVerifiedStatus
1GEC-DI (LM+GED)F0.548.61Unverified
#ModelMetricClaimedVerifiedStatus
1RedPenNetF0.577.6Unverified