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Spelling Correction
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Spelling correction is the task of detecting and correcting spelling mistakes.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Automated Spelling Correction for Clinical Text Mining in Russian
A Financial Service Chatbot based on Deep Bidirectional Transformers
Neural Chinese Word Segmentation as Sequence to Sequence Translation
GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors
Algorithms for certain classes of Tamil Spelling correction
Automatic Spelling Correction with Transformer for CTC-based End-to-End Speech Recognition
A spelling correction model for end-to-end speech recognition
Context-Sensitive Malicious Spelling Error Correction
MADARi: A Web Interface for Joint Arabic Morphological Annotation and Spelling Correction
Preparation of Improved Turkish DataSet for Sentiment Analysis in Social Media
Unsupervised Context-Sensitive Spelling Correction of English and Dutch Clinical Free-Text with Word and Character N-Gram Embeddings
MoNoise: Modeling Noise Using a Modular Normalization System
SEARNN: Training RNNs with Global-Local Losses
An Automatic Contextual Analysis and Clustering Classifiers Ensemble approach to Sentiment Analysis
Spelling Correction as a Foreign Language
Convolutional Sequence to Sequence Learning
Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks
Robsut Wrod Reocginiton via semi-Character Recurrent Neural Network
An Actor-Critic Algorithm for Sequence Prediction
Similarity-based Text Recognition by Deeply Supervised Siamese Network
Arabic Spelling Correction using Supervised Learning
Neural Machine Translation by Jointly Learning to Align and Translate
Detection is the central problem in real-word spelling correction
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