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 351400 of 415 papers

TitleStatusHype
CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction0
Czech Grammar Error Correction with a Large and Diverse Corpus0
Data Augmentation of Incorporating Real Error Patterns and Linguistic Knowledge for Grammatical Error Correction0
Data Strategies for Low-Resource Grammatical Error Correction0
Data Weighted Training Strategies for Grammatical Error Correction0
Deep Learning Model Deployment in Multiple Cloud Providers: an Exploratory Study Using Low Computing Power Environments0
Denoising based Sequence-to-Sequence Pre-training for Text Generation0
Detecting English Grammatical Errors based on Machine Translation0
Developing a Spell and Grammar Checker for Icelandic using an Error Corpus0
Developing NLP Tools with a New Corpus of Learner Spanish0
Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation0
Do Grammatical Error Correction Models Realize Grammatical Generalization?0
Dynamic Negative Example Construction for Grammatical Error Correction using Contrastive Learning0
EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation0
EdiT5: Semi-Autoregressive Text-Editing with T5 Warm-Start0
Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule0
Enabling Robust Grammatical Error Correction in New Domains: Data Sets, Metrics, and Analyses0
End-to-End Spoken Grammatical Error Correction0
Enhancing Text Editing for Grammatical Error Correction: Arabic as a Case Study0
Enriching Grammatical Error Correction Resources for Modern Greek0
Enriching the Korean Learner Corpus with Multi-reference Annotations and Rubric-Based Scoring0
Ensemble Distillation Approaches for Grammatical Error Correction0
Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction0
ErAConD: Error Annotated Conversational Dialog Dataset for Grammatical Error Correction0
ERRANT: Assessing and Improving Grammatical Error Type Classification0
Erroneous data generation for Grammatical Error Correction0
Error Correction in ASR using Sequence-to-Sequence Models0
ESCRITO - An NLP-Enhanced Educational Scoring Toolkit0
Evaluating GPT-3.5 and GPT-4 on Grammatical Error Correction for Brazilian Portuguese0
Evaluating Prompting Strategies for Grammatical Error Correction Based on Language Proficiency0
Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction Task0
EXCGEC: A Benchmark of Edit-wise Explainable Chinese Grammatical Error Correction0
Exploiting N-Best Hypotheses to Improve an SMT Approach to Grammatical Error Correction0
Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods0
Exploring Grammatical Error Correction with Not-So-Crummy Machine Translation0
Exploring Human-judged and Automatically-induced Correction Difficulty for Grammatical Error Correction0
Factored Statistical Machine Translation for Grammatical Error Correction0
Few-Shot Domain Adaptation for Grammatical Error Correction via Meta-Learning0
Fluency Boost Learning and Inference for Neural Grammatical Error Correction0
Focus Is What You Need For Chinese Grammatical Error Correction0
From Spelling to Grammar: A New Framework for Chinese Grammatical Error Correction0
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
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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