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Spelling Correction

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

Papers

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Showing 76–100 of 193 papers

TitleStatusHype
Arabisc: Context-Sensitive Neural Spelling CheckerCode1
Context-aware Stand-alone Neural Spelling CorrectionCode1
NeuSpell: A Neural Spelling Correction ToolkitCode1
Comparison of Interactive Knowledge Base Spelling Correction Models for Low-Resource Languages—0
Tokenization Repair in the Presence of Spelling ErrorsCode1
Domain-shift Conditioning using Adaptable Filtering via Hierarchical Embeddings for Robust Chinese Spell CheckCode1
An In-Depth Comparison of 14 Spelling Correction Tools on a Common Benchmark—0
A Spelling Correction Corpus for Multiple Arabic Dialects—0
Disambiguating Confusion Sets as an Aid for Dyslexic Spelling—0
Automated Spelling Correction for Clinical Text Mining in Russian—0
A Financial Service Chatbot based on Deep Bidirectional Transformers—0
Neural Chinese Word Segmentation as Sequence to Sequence TranslationCode0
GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical ErrorsCode0
Normalising Non-standardised Orthography in Algerian Code-switched User-generated Data—0
Sequence to Sequence Convolutional Neural Network for Automatic Spelling Correction—0
Algorithms for certain classes of Tamil Spelling correction—0
The Impact of Spelling Correction and Task Context on Short Answer Assessment for Intelligent Tutoring Systems—0
How to account for mispellings: Quantifying the benefit of character representations in neural content scoring models—0
Lexical Normalization of User-Generated Medical Text—0
A Benchmark Corpus of English Misspellings and a Minimally-supervised Model for Spelling CorrectionCode0
Ma copie adore le v\'elo : analyse des besoins r\'eels en correction orthographique sur un corpus de dict\'ees d'enfants (A corpus analysis to define the needs of dyslexic children in terms of spelling correction)—0
Robust to Noise Models in Natural Language Processing TasksCode0
Automatic Spelling Correction with Transformer for CTC-based End-to-End Speech Recognition—0
A spelling correction model for end-to-end speech recognition—0
Context-Sensitive Malicious Spelling Error Correction—0
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