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Spelling Correction

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

Papers

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Showing 51–75 of 193 papers

TitleStatusHype
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
Correcting Real-Word Spelling Errors: A New Hybrid Approach—0
Real-Word Error Correction with Trigrams: Correcting Multiple Errors in a Sentence—0
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention TrainingCode0
DiaCorrect: End-to-end error correction for speaker diarizationCode0
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
ABB-BERT: A BERT model for disambiguating abbreviations and contractionsCode0
English Language Spelling Correction as an Information Retrieval Task Using Wikipedia Search Statistics—0
Spelling Correction using Phonetics in E-commerce Search—0
MDCSpell: A Multi-task Detector-Corrector Framework for Chinese Spelling Correction—0
A New String Edit Distance and Applications—0
Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition SystemsCode0
Inkorrect: Online Handwriting Spelling Correction—0
Using Random Perturbations to Mitigate Adversarial Attacks on Sentiment Analysis Models—0
VSEC: Transformer-based Model for Vietnamese Spelling Correction—0
The Influence of Regional Pronunciation Variation on Children’s Spelling and the Potential Benefits of Accent Adapted Spellcheckers—0
Structured abbreviation expansion in context—0
Spelling Correction for Russian: A Comparative Study of Datasets and Methods—0
A Light-weight contextual spelling correction model for customizing transducer-based speech recognition systems—0
Correcting Arabic Soft Spelling Mistakes using BiLSTM-based Machine Learning—0
BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial AttacksCode0
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