Spelling Correction
42 papers with code • 0 benchmarks • 4 datasets
Spelling correction is the task of detecting and correcting spelling mistakes.
Benchmarks
These leaderboards are used to track progress in Spelling Correction
GitHub Typo Corpus
CSCD-IME
MCSCSet
Viwiki-Spelling
Most implemented papers
Arabisc: Context-Sensitive Neural Spelling Checker
ymoslem/Arabisc
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Accordingly, we made use of a bidirectional LSTM language model (LM) for our context-sensitive spelling detection and correction model which is shown to have much control over the correction process.
Similarity-Based Unsupervised Spelling Correction Using BioWordVec: Development and Usability Study of Bacterial Culture and Antimicrobial Susceptibility Reports
Conclusions: This tool corrected spelling errors effectively in the absence of a dictionary based on bacterial identification words in bacterial culture and antimicrobial susceptibility reports.
Hierarchical Transformer Encoders for Vietnamese Spelling Correction
We compare our method with other methods and publicly available systems.
Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models
FDChongli/TwoWaysToImproveCSC
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ACL 2021
A sequence-to-sequence learning with neural networks has empirically proven to be an effective framework for Chinese Spelling Correction (CSC), which takes a sentence with some spelling errors as input and outputs the corrected one.
BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks
yannikkellerde/BERT-Defense
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Findings (ACL) 2021
Adversarial attacks expose important blind spots of deep learning systems.
PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction
liushulinle/plome
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ACL 2021
In this paper, we propose a Pre-trained masked Language model with Misspelled knowledgE (PLOME) for CSC, which jointly learns how to understand language and correct spelling errors.
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning
Machine learning-based program analysis methods use variable name representations for a wide range of tasks, such as suggesting new variable names and bug detection.
Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems
In this work, we introduce a novel approach to do contextual biasing by adding a contextual spelling correction model on top of the end-to-end ASR system.
ABB-BERT: A BERT model for disambiguating abbreviations and contractions
Abbreviations and contractions are commonly found in text across different domains.
BSpell: A CNN-Blended BERT Based Bangla Spell Checker
hasiburshanto/bangla-spell-checker
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A specialized BERT model named BSpell has been proposed in this paper targeted towards word for word correction in sentence level.
