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 126150 of 415 papers

TitleStatusHype
DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language ModelsCode0
Gender-Aware Reinflection using Linguistically Enhanced Neural ModelsCode0
Grammatical Error Correction in Low-Resource ScenariosCode0
Byte-Level Grammatical Error Correction Using Synthetic and Curated CorporaCode0
GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and DecodingCode0
gec-metrics: A Unified Library for Grammatical Error Correction EvaluationCode0
Efficient and Interpretable Grammatical Error Correction with Mixture of ExpertsCode0
Evaluation of really good grammatical error correctionCode0
Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error CorrectionCode0
EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq GenerationCode0
A Low-Resource Approach to the Grammatical Error Correction of UkrainianCode0
Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence TasksCode0
Exploring the Feasibility of Multilingual Grammatical Error Correction with a Single LLM up to 9B parameters: A Comparative Study of 17 ModelsCode0
Adjusting the Precision-Recall Trade-Off with Align-and-Predict Decoding for Grammatical Error CorrectionCode0
Gender-Inclusive Grammatical Error Correction through AugmentationCode0
Grammatical Error Correction with Contrastive Learning in Low Error Density DomainsCode0
Is this the end of the gold standard? A straightforward reference-less grammatical error correction metricCode0
Parallel Iterative Edit Models for Local Sequence TransductionCode0
Do Grammatical Error Correction Models Realize Grammatical Generalization?0
BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation0
Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation0
Developing NLP Tools with a New Corpus of Learner Spanish0
Developing a Spell and Grammar Checker for Icelandic using an Error Corpus0
(Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus0
Detecting English Grammatical Errors based on Machine Translation0
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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