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 51100 of 415 papers

TitleStatusHype
CLEME: Debiasing Multi-reference Evaluation for Grammatical Error CorrectionCode1
Automatic Error Type Annotation for ArabicCode1
Denoising based Sequence-to-Sequence Pre-training for Text Generation0
Deep Learning Model Deployment in Multiple Cloud Providers: an Exploratory Study Using Low Computing Power Environments0
Detecting English Grammatical Errors based on Machine Translation0
Beyond English: Evaluating LLMs for Arabic Grammatical Error Correction0
Better Evaluation for Grammatical Error Correction0
A POS Tagging Model Adapted to Learner English0
(Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus0
Data Weighted Training Strategies for Grammatical Error Correction0
Addressing Class Imbalance in Grammatical Error Detection with Evaluation Metric Optimization0
BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation0
BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis0
A Pipeline Approach to Supervised Error Correction for the QALB-2014 Shared Task0
Data Strategies for Low-Resource Grammatical Error Correction0
Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study0
Automatic Extraction of Learner Errors in ESL Sentences Using Linguistically Enhanced Alignments0
Automatic Detection of Sentence Fragments0
A New Evaluation Method: Evaluation Data and Metrics for Chinese Grammar Error Correction0
A Language Model for Grammatical Error Correction in L2 Russian0
Automatic Detection of Comma Splices0
Automatic Classification of Russian Learner Errors0
A Hybrid System for Chinese Grammatical Error Diagnosis and Correction0
A Nested Attention Neural Hybrid Model for Grammatical Error Correction0
Automated Grammatical Error Correction for Language Learners0
Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models0
A Chinese Writing Correction System for Learning Chinese as a Foreign Language0
Data Augmentation of Incorporating Real Error Patterns and Linguistic Knowledge for Grammatical Error Correction0
Developing a Spell and Grammar Checker for Icelandic using an Error Corpus0
A Crash Course in Automatic Grammatical Error Correction0
A Hybrid Model For Grammatical Error Correction0
Cross-lingual Transfer Learning for Grammatical Error Correction0
Attention-based Encoder-Decoder Networks for Spelling and Grammatical Error Correction0
CoNLL 2014 Shared Task: Grammatical Error Correction with a Syntactic N-gram Language Model from a Big Corpora0
CoNLL-2013 Shared Task: Grammatical Error Correction NTHU System Description0
A Tree Transducer Model for Grammatical Error Correction0
An Automatic Error Tagger for German0
CSynGEC: Incorporating Constituent-based Syntax for Grammatical Error Correction with a Tailored GEC-Oriented Parser0
Connecting the Dots: Towards Human-Level Grammatical Error Correction0
Constrained Grammatical Error Correction using Statistical Machine Translation0
Construction of an Evaluation Corpus for Grammatical Error Correction for Learners of Japanese as a Second Language0
Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction0
Controllable Data Synthesis Method for Grammatical Error Correction0
Automated Collocation Suggestion for Japanese Second Language Learners0
Controlling Grammatical Error Correction Using Word Edit Rate0
Conversational Knowledge Teaching Agent that uses a Knowledge Base0
Cool English: a Grammatical Error Correction System Based on Large Learner Corpora0
Corpora Generation for Grammatical Error Correction0
Correcting Chinese Word Usage Errors for Learning Chinese as a Second Language0
Computer-assisted stylistic revision with incomplete and noisy feedback. A pilot study0
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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