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Spelling Correction

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

Papers

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Showing 26–50 of 193 papers

TitleStatusHype
Large Language Models for Simultaneous Named Entity Extraction and Spelling Correction—0
Mitigating Catastrophic Forgetting in Multi-domain Chinese Spelling Correction by Multi-stage Knowledge Transfer Framework—0
Multi-teacher Distillation for Multilingual Spelling Correction—0
Eval-GCSC: A New Metric for Evaluating ChatGPT's Performance in Chinese Spelling CorrectionCode0
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
SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappingsCode0
Sampling and Ranking for Digital Ink Generation on a tight computational budget—0
Rethinking Masked Language Modeling for Chinese Spelling CorrectionCode1
Disentangled Phonetic Representation for Chinese Spelling CorrectionCode0
Persian Typographical Error Type Detection Using Deep Neural Networks on Algorithmically-Generated Misspellings—0
Beqi: Revitalize the Senegalese Wolof Language with a Robust Spelling Corrector—0
Cleansing Jewel: A Neural Spelling Correction Model Built On Google OCR-ed Tibetan Manuscripts—0
Improving Contextual Spelling Correction by External Acoustics Attention and Semantic Aware Data Augmentation—0
An Extended Sequence Tagging Vocabulary for Grammatical Error CorrectionCode4
Correcting Real-Word Spelling Errors: A New Hybrid Approach—0
Real-Word Error Correction with Trigrams: Correcting Multiple Errors in a Sentence—0
An Error-Guided Correction Model for Chinese Spelling Error CorrectionCode1
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention TrainingCode0
CSCD-NS: a Chinese Spelling Check Dataset for Native SpeakersCode1
DiaCorrect: End-to-end error correction for speaker diarizationCode0
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling CorrectionCode1
Look Ma, Only 400 Samples! Revisiting the Effectiveness of Automatic N-Gram Rule Generation for Spelling Normalization in FilipinoCode0
BSpell: A CNN-Blended BERT Based Bangla Spell CheckerCode0
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