Text Correction Papers

This repo aims to keep tracking related work in text correction, including Chinese Spell Checking (CSC) and Grammatical Error Correction (GEC). Welcome to contribute!

2022

paper	conference	resource	citation	labels
Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction	EMNLP2022	[pdf][code]
FCGEC: Fine-Grained Corpus for Chinese Grammatical Error Correction	EMNLP2022	[pdf][code]
SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser	EMNLP2022	[pdf][code]
Revisiting Grammatical Error Correction Evaluation and Beyond	EMNLP2022	[pdf][code]
From Spelling to Grammar: A New Framework for Chinese Grammatical Error Correction	EMNLP2022	[pdf]
Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity	EMNLP2022	[pdf][code]
Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation	AAAI2022	[pdf]
Non-Autoregressive Chinese ASR Error Correction with Phonological Training	NAACL2022	[pdf]
MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction	NAACL2022	[pdf] [code]
ErAConD: Error Annotated Conversational Dialog Dataset for Grammatical Error Correction	NAACL2022	[pdf] [code]
Frustratingly Easy System Combination for Grammatical Error Correction	NAACL2022	[pdf] [code]
Improving Chinese Grammatical Error Detection via Data augmentation by Conditional Error Generation	ACL2022	[pdf]
CRASpell: A Contextual Typo Robust Approach to Improve Chinese Spelling Correction	ACL2022	[pdf] [code]
MDCSpell: A Multi-task Detector-Corrector Framework for Chinese Spelling Correction	ACL2022	[pdf]
The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking	ACL2022	[pdf]
Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction	ACL2022	[pdf]
Interpretability for Language Learners Using Example-Based Grammatical Error Correction	ACL2022	[pdf]
“Is Whole Word Masking Always Better for Chinese BERT?”: Probing on Chinese Grammatical Error Correction	ACL2022	[pdf]
Type-Driven Multi-Turn Corrections for Grammatical Error Correction	ACL2022	[pdf]
A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model	preprint	[pdf]
General and Domain Adaptive Chinese Spelling Check with Error Consistent Pretraining	preprint	[pdf] [code]
CSCD-IME: Correcting Spelling Errors Generated by Pinyin IME	preprint	[pdf][code]

2021

paper	conference	resource	citation	labels
FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition	NeurIPS 2021	[pdf][code]
Correcting Chinese Spelling Errors with Phonetic Pre-training	ACL2021	[pdf] [code]
Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking	ACL2021	[pdf] [code]
PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction	ACL2021	[pdf] [code]
Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models	ACL2021	[pdf] [code]
PHMOSpell: Phonological and Morphological Knowledge Guided Chinese Spelling Check	ACL2021	[pdf]
Global Attention Decoder for Chinese Spelling Error Correction	ACL2021	[pdf]
Dynamic Connected Networks for Chinese Spelling Check	ACL2021	[pdf]
Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding	ACL2021	[pdf] [code]
Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction	ACL2021	[pdf] [code]
Grammatical Error Correction as GAN-like Sequence Labeling	ACL2021	[pdf]
A Simple Recipe for Multilingual Grammatical Error Correction	ACL2021	[pdf]
New Dataset and Strong Baselines for the Grammatical Error Correction of Russian	ACL2021	[pdf]
Do Grammatical Error Correction Models Realize Grammatical Generalization?	ACL2021	[pdf]
SpellBERT: A Lightweight Pretrained Model for Chinese Spelling Check	EMNLP2021	[pdf] [code]
LM-Critic: Language Models for Unsupervised Grammatical Error Correction	EMNLP2021	[pdf]
Is this the end of the gold standard? A straightforward reference-less grammatical error correction metric	EMNLP2021	[pdf]
Beyond Grammatical Error Correction: Improving L1-influenced research writing in English using pre-trained encoder-decoder models	EMNLP2021	[pdf] [code]
Grammatical Error Correction with Contrastive Learning in Low Error Density Domains	EMNLP2021	[pdf]
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction	NAACL2021	[pdf] [code]
DCSpell: A Detector-Corrector Framework for Chinese Spelling Error Correction	SIGIR2021	[pdf]
Think Twice: A Post-Processing Approach for the Chinese Spelling Error Correction	AppliedScience	[pdf]

2020

paper	conference	resource	citation	labels
Spelling Error Correction with Soft-Masked BERT	ACL2020	[pdf]
Spellgcn: Incorporating phonological and visual similarities into language models for chinese spelling check	ACL2020	[pdf] [code]
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction	ACL2020	[pdf] [code]
Grammatical Error Correction Using Pseudo Learner Corpus Considering Learner’s Error Tendency	ACL2020	[pdf]
Chunk-based Chinese Spelling Check with Global Optimization	EMNLP2020	[pdf]
Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses	EMNLP2020	[pdf]
Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples	EMNLP2020	[pdf]
Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction	EMNLP2020	[pdf]
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction	EMNLP2020	[pdf]
Improving Grammatical Error Correction with Machine Translation Pairs	EMNLP2020	[pdf]
Adversarial Grammatical Error Correction	EMNLP2020	[pdf]
MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking	AAAL2020	[pdf]
Combining ResNet and Transformer for Chinese Grammatical Error Diagnosis	AACL2020	[pdf]
Overview of NLPTEA-2020 Shared Task for Chinese Grammatical Error Diagnosis	AACL2020	[pdf]

before

paper	conference	resource	citation	labels
FASPell: A Fast, Adaptable, Simple, Powerful Chinese Spell Checker Based On DAE-Decoder Paradigm	EMNLP2019	[pdf] [code]
A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Checking	EMNLP2018	[pdf] [code]