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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
Chinese Spelling Checker Based on Statistical Machine Translation—0
Chinese Spelling Check System Based on N-gram Model—0
Chinese Spelling Correction: A Comprehensive Survey of Progress, Challenges, and Opportunities—0
A Unified Approach to Transliteration-based Text Input with Online Spelling Correction—0
Chinese Word Spelling Correction Based on Rule Induction—0
Chinese Word Spelling Correction Based on N-gram Ranked Inverted Index List—0
Cleansing Jewel: A Neural Spelling Correction Model Built On Google OCR-ed Tibetan Manuscripts—0
CMUQ@QALB-2014: An SMT-based System for Automatic Arabic Error Correction—0
Automatic Spelling Correction with Transformer for CTC-based End-to-End Speech Recognition—0
Comparison of Interactive Knowledge Base Spelling Correction Models for Low-Resource Languages—0
English Language Spelling Correction as an Information Retrieval Task Using Wikipedia Search Statistics—0
A Survey on Importance of Homophones Spelling Correction Model for Khmer Authors—0
A Study of Language Modeling for Chinese Spelling Check—0
Aligning phonemes using finte-state methods—0
A Comprehensive Framework for Semantic Similarity Analysis of Human and AI-Generated Text Using Transformer Architectures and Ensemble Techniques—0
Algorithms for certain classes of Tamil Spelling correction—0
CUFE@QALB-2015 Shared Task: Arabic Error Correction System—0
A Spelling Correction Corpus for Multiple Arabic Dialects—0
Cross-lingual Synonymy Overlap—0
A Light-weight contextual spelling correction model for customizing transducer-based speech recognition systems—0
A spelling correction model for end-to-end speech recognition—0
Decipherment for Adversarial Offensive Language Detection—0
Deep Neural Network Language Models—0
Detection is the central problem in real-word spelling correction—0
Correcting Real-Word Spelling Errors: A New Hybrid Approach—0
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