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Spelling Correction

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

Papers

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Showing 151–175 of 193 papers

TitleStatusHype
Preparation of Improved Turkish DataSet for Sentiment Analysis in Social Media—0
QCMUQ@QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction—0
Real-Word Error Correction with Trigrams: Correcting Multiple Errors in a Sentence—0
Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction—0
Research on Domain-Specific Chinese Spelling Correction Method Based on Plugin Extension Modules—0
A New String Edit Distance and Applications—0
Retrieval Augmented Spelling Correction for E-Commerce Applications—0
RingGesture: A Ring-Based Mid-Air Gesture Typing System Powered by a Deep-Learning Word Prediction Framework—0
Robust Systems for Preposition Error Correction Using Wikipedia Revisions—0
SAHSOH@QALB-2015 Shared Task: A Rule-Based Correction Method of Common Arabic Native and Non-Native Speakers' Errors—0
Sampling and Ranking for Digital Ink Generation on a tight computational budget—0
Sequence to Sequence Convolutional Neural Network for Automatic Spelling Correction—0
Similarity-based Text Recognition by Deeply Supervised Siamese Network—0
Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies—0
DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm Based on Learned High Dimensional EncodingCode0
SEARNN: Training RNNs with Global-Local LossesCode0
Disentangled Phonetic Representation for Chinese Spelling CorrectionCode0
EdaCSC: Two Easy Data Augmentation Methods for Chinese Spelling CorrectionCode0
MoNoise: Modeling Noise Using a Modular Normalization SystemCode0
Enhancing Character-Level Understanding in LLMs through Token Internal Structure LearningCode0
Eval-GCSC: A New Metric for Evaluating ChatGPT's Performance in Chinese Spelling CorrectionCode0
DiaCorrect: End-to-end error correction for speaker diarizationCode0
TiSpell: A Semi-Masked Methodology for Tibetan Spelling Correction covering Multi-Level Error with Data AugmentationCode0
A Benchmark Corpus of English Misspellings and a Minimally-supervised Model for Spelling CorrectionCode0
Kyoto University Participation to WAT 2016Code0
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