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Spelling Correction

Spelling correction is the task of detecting and correcting spelling mistakes.

Papers

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Showing 1–25 of 193 papers

TitleStatusHype
An Extended Sequence Tagging Vocabulary for Grammatical Error CorrectionCode4
A Training-free LLM-based Approach to General Chinese Character Error CorrectionCode2
CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese CharactersCode2
A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language ModelsCode2
AraSpell: A Deep Learning Approach for Arabic Spelling CorrectionCode1
A Methodology for Generative Spelling Correction via Natural Spelling Errors Emulation across Multiple Domains and LanguagesCode1
Chinese Spelling Correction as Rephrasing Language ModelCode1
GIO: Gradient Information Optimization for Training Dataset SelectionCode1
Rethinking Masked Language Modeling for Chinese Spelling CorrectionCode1
An Error-Guided Correction Model for Chinese Spelling Error CorrectionCode1
CSCD-NS: a Chinese Spelling Check Dataset for Native SpeakersCode1
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling CorrectionCode1
CRASpell: A Contextual Typo Robust Approach to Improve Chinese Spelling CorrectionCode1
VarCLR: Variable Semantic Representation Pre-training via Contrastive LearningCode1
PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling CorrectionCode1
Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction ModelsCode1
Hierarchical Transformer Encoders for Vietnamese Spelling CorrectionCode1
Arabisc: Context-Sensitive Neural Spelling CheckerCode1
Context-aware Stand-alone Neural Spelling CorrectionCode1
NeuSpell: A Neural Spelling Correction ToolkitCode1
Tokenization Repair in the Presence of Spelling ErrorsCode1
Domain-shift Conditioning using Adaptable Filtering via Hierarchical Embeddings for Robust Chinese Spell CheckCode1
Reconstructing Syllable Sequences in Abugida Scripts with Incomplete Inputs—0
CEC-Zero: Chinese Error Correction Solution Based on LLM—0
TiSpell: A Semi-Masked Methodology for Tibetan Spelling Correction covering Multi-Level Error with Data AugmentationCode0
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