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Spelling Correction

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

Papers

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Showing 101–150 of 193 papers

TitleStatusHype
Decipherment for Adversarial Offensive Language Detection—0
DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm Based on Learned High Dimensional EncodingCode0
MADARi: A Web Interface for Joint Arabic Morphological Annotation and Spelling Correction—0
Local String Transduction as Sequence Labeling—0
Automatic Spelling Correction for Resource-Scarce Languages using Deep Learning—0
Generative Bridging Network for Neural Sequence Prediction—0
Portable Spelling Corrector for a Less-Resourced Language: Amharic—0
Towards Language Technology for Mi'kmaq—0
Preparation of Improved Turkish DataSet for Sentiment Analysis in Social MediaCode0
Chinese Spelling Check based on N-gram and String Matching Algorithm—0
Unsupervised Context-Sensitive Spelling Correction of English and Dutch Clinical Free-Text with Word and Character N-Gram EmbeddingsCode0
MoNoise: Modeling Noise Using a Modular Normalization SystemCode0
LIG-CRIStAL Submission for the WMT 2017 Automatic Post-Editing Task—0
Systematically Adapting Machine Translation for Grammatical Error CorrectionCode0
Speeding up corpus development for linguistic research: language documentation and acquisition in Romansh Tuatschin—0
Lexical Correction of Polish Twitter Political Data—0
Unsupervised Context-Sensitive Spelling Correction of Clinical Free-Text with Word and Character N-Gram Embeddings—0
SEARNN: Training RNNs with Global-Local LossesCode0
An Automatic Contextual Analysis and Clustering Classifiers Ensemble approach to Sentiment Analysis—0
Spelling Correction as a Foreign Language—0
Aligning phonemes using finte-state methods—0
Annotating errors in student texts: First experiences and experiments—0
OCR and post-correction of historical Finnish texts—0
Comparison of String Similarity Measures for Obscenity Filtering—0
Spelling Correction for Morphologically Rich Language: a Case Study of Russian—0
Kyoto University Participation to WAT 2016Code0
Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks—0
A Generalized Framework for Hierarchical Word Sequence Language Model—0
Robsut Wrod Reocginiton via semi-Character Recurrent Neural NetworkCode0
Find the word that does not belong: A Framework for an Intrinsic Evaluation of Word Vector Representations—0
Data-Driven Spelling Correction using Weighted Finite-State MethodsCode0
An Actor-Critic Algorithm for Sequence PredictionCode0
Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies—0
Similarity-based Text Recognition by Deeply Supervised Siamese Network—0
An Improved Hierarchical Word Sequence Language Model Using Directional Information—0
Cross-lingual Synonymy Overlap—0
Spelling Correction of User Search Queries through Statistical Machine Translation—0
QCMUQ@QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction—0
Chinese Spelling Check System Based on N-gram Model—0
CUFE@QALB-2015 Shared Task: Arabic Error Correction System—0
SAHSOH@QALB-2015 Shared Task: A Rule-Based Correction Method of Common Arabic Native and Non-Native Speakers' Errors—0
HANSpeller++: A Unified Framework for Chinese Spelling Correction—0
UMMU@QALB-2015 Shared Task: Character and Word level SMT pipeline for Automatic Error Correction of Arabic Text—0
HANSpeller: A Unified Framework for Chinese Spelling Correction—0
Unsupervised Text Normalization Using Distributed Representations of Words and Phrases—0
TwitterHawk: A Feature Bucket Based Approach to Sentiment Analysis—0
Squibs: Spelling Error Patterns in Brazilian Portuguese—0
LMSim : Computing Domain-specific Semantic Word Similarities Using a Language Modeling Approach—0
Leveraging known Semantics for Spelling Correction—0
Extended HMM and Ranking Models for Chinese Spelling Correction—0
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