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 151200 of 415 papers

TitleStatusHype
A Simple but Effective Classification Model for Grammatical Error Correction0
Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction Task0
Chinese Grammatical Error Diagnosis System Based on Hybrid Model0
Chinese Grammatical Error Detection Based on BERT Model0
EXCGEC: A Benchmark of Edit-wise Explainable Chinese Grammatical Error Correction0
Analyzing the Impact of Spelling Errors on POS-Tagging and Chunking in Learner English0
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
ERRANT: Assessing and Improving Grammatical Error Type Classification0
Exploring Human-judged and Automatically-induced Correction Difficulty for Grammatical Error Correction0
Chinese Grammatical Correction Using BERT-based Pre-trained Model0
Factored Statistical Machine Translation for Grammatical Error Correction0
ErAConD: Error Annotated Conversational Dialog Dataset for Grammatical Error Correction0
ChatLang-8: An LLM-Based Synthetic Data Generation Framework for Grammatical Error Correction0
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction0
Grammatical Error Detection and Correction using a Single Maximum Entropy Model0
Focus Is What You Need For Chinese Grammatical Error Correction0
From Spelling to Grammar: A New Framework for Chinese Grammatical Error Correction0
Heterogeneous Recycle Generation for Chinese Grammatical Error Correction0
A Syntax-Guided Grammatical Error Correction Model with Dependency Tree Correction0
GEC into the future: Where are we going and how do we get there?0
Comparison of Grammatical Error Correction Using Back-Translation Models0
Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction0
ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark0
Ensemble Distillation Approaches for Grammatical Error Correction0
A Tree Transducer Model for Grammatical Error Correction0
Gender Bias and Universal Substitution Adversarial Attacks on Grammatical Error Correction Systems for Automated Assessment0
CoNLL 2014 Shared Task: Grammatical Error Correction with a Syntactic N-gram Language Model from a Big Corpora0
Connecting the Dots: Towards Human-Level Grammatical Error Correction0
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
Construction of an Evaluation Corpus for Grammatical Error Correction for Learners of Japanese as a Second Language0
GPT-3.5 for Grammatical Error Correction0
Enriching the Korean Learner Corpus with Multi-reference Annotations and Rubric-Based Scoring0
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
Controlling Grammatical Error Correction Using Word Edit Rate0
Grammatical Error Correction for Low-Resource Languages: The Case of Zarma0
Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses0
Cool English: a Grammatical Error Correction System Based on Large Learner Corpora0
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
ChatGPT for Arabic Grammatical Error Correction0
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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