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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
ArCADE: An Arabic Corpus of Auditory Dictation Errors—0
Sequence to Sequence Convolutional Neural Network for Automatic Spelling Correction—0
Similarity-based Text Recognition by Deeply Supervised Siamese Network—0
Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies—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
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
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