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Spelling Correction

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

Papers

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Showing 51–100 of 193 papers

TitleStatusHype
CUFE@QALB-2015 Shared Task: Arabic Error Correction System—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
Yandex School of Data Analysis Machine Translation Systems for WMT13—0
Algorithms for certain classes of Tamil Spelling correction—0
Reconstructing Syllable Sequences in Abugida Scripts with Incomplete Inputs—0
A Cascaded Approach for Social Media Text Normalization of Turkish—0
A Combination of BERT and Transformer for Vietnamese Spelling Correction—0
A Comprehensive Framework for Semantic Similarity Analysis of Human and AI-Generated Text Using Transformer Architectures and Ensemble Techniques—0
A Discriminative Model for Query Spelling Correction with Latent Structural SVM—0
A Financial Service Chatbot based on Deep Bidirectional Transformers—0
A Framework for Spelling Correction in Persian Language Using Noisy Channel Model—0
A Generalized Framework for Hierarchical Word Sequence Language Model—0
A Hybrid Chinese Spelling Correction Using Language Model and Statistical Machine Translation with Reranking—0
A Light-weight contextual spelling correction model for customizing transducer-based speech recognition systems—0
Aligning phonemes using finte-state methods—0
Analogy-based Text Normalization : the case of unknowns words (Normalisation de textes par analogie: le cas des mots inconnus) [in French]—0
An Automatic Contextual Analysis and Clustering Classifiers Ensemble approach to Sentiment Analysis—0
An Improved Hierarchical Word Sequence Language Model Using Directional Information—0
An In-Depth Comparison of 14 Spelling Correction Tools on a Common Benchmark—0
Annotating errors in student texts: First experiences and experiments—0
A Noisy Channel Model Framework for Grammatical Correction—0
Arabic Spelling Correction using Supervised Learning—0
Arabic Word Generation and Modelling for Spell Checking—0
ArCADE: An Arabic Corpus of Auditory Dictation Errors—0
Speeding up corpus development for linguistic research: language documentation and acquisition in Romansh Tuatschin—0
Spell Correction for Azerbaijani Language using Deep Neural Networks—0
Spelling Correction as a Foreign Language—0
Spelling Correction for Morphologically Rich Language: a Case Study of Russian—0
Spelling Correction for Russian: A Comparative Study of Datasets and Methods—0
Spelling Correction of User Search Queries through Statistical Machine Translation—0
Spelling Correction through Rewriting of Non-Autoregressive ASR Lattices—0
Spelling Correction using Phonetics in E-commerce Search—0
Spelling Correction with Denoising Transformer—0
SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappings—0
Squibs: Spelling Error Patterns in Brazilian Portuguese—0
Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks—0
Stochastic Contextual Edit Distance and Probabilistic FSTs—0
Structured abbreviation expansion in context—0
The Impact of Spelling Correction and Task Context on Short Answer Assessment for Intelligent Tutoring Systems—0
The Influence of Regional Pronunciation Variation on Children’s Spelling and the Potential Benefits of Accent Adapted Spellcheckers—0
TICCLops: Text-Induced Corpus Clean-up as online processing system—0
Towards Language Technology for Mi'kmaq—0
TwitterHawk: A Feature Bucket Based Approach to Sentiment Analysis—0
Two-Stage Hashing for Fast Document Retrieval—0
UM-Checker: A Hybrid System for English Grammatical Error Correction—0
UMMU@QALB-2015 Shared Task: Character and Word level SMT pipeline for Automatic Error Correction of Arabic Text—0
Unsupervised Context-Sensitive Spelling Correction of Clinical Free-Text with Word and Character N-Gram Embeddings—0
Unsupervised Text Normalization Using Distributed Representations of Words and Phrases—0
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