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Spelling Correction

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

Papers

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Showing 151–193 of 193 papers

TitleStatusHype
Chinese Word Spelling Correction Based on Rule Induction—0
Introduction to BIT Chinese Spelling Correction System at CLP 2014 Bake-off—0
Fast and Robust Arabic Error Correction System—0
GWU-HASP: Hybrid Arabic Spelling and Punctuation Corrector—0
CMUQ@QALB-2014: An SMT-based System for Automatic Arabic Error Correction—0
Automatic Arabic diacritics restoration based on deep nets—0
Arabic Spelling Correction using Supervised Learning—0
Detection is the central problem in real-word spelling correction—0
TICCLops: Text-Induced Corpus Clean-up as online processing system—0
Analogy-based Text Normalization : the case of unknowns words (Normalisation de textes par analogie: le cas des mots inconnus) [in French]—0
ArCADE: An Arabic Corpus of Auditory Dictation Errors—0
Automatic Transliteration of Romanized Dialectal Arabic—0
Generalized Character-Level Spelling Error Correction—0
A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser Ney SmoothingCode0
Stochastic Contextual Edit Distance and Probabilistic FSTs—0
Two-Stage Hashing for Fast Document Retrieval—0
Improved Iterative Correction for Distant Spelling Errors—0
Identification of Multiword Expressions in the brWaC—0
A Cascaded Approach for Social Media Text Normalization of Turkish—0
Automated Error Detection in Digitized Cultural Heritage Documents—0
Integrating Dictionary and Web N-grams for Chinese Spell Checking—0
Chinese Word Spelling Correction Based on N-gram Ranked Inverted Index List—0
A Study of Language Modeling for Chinese Spelling Check—0
Chinese Spelling Checker Based on Statistical Machine Translation—0
A Hybrid Chinese Spelling Correction Using Language Model and Statistical Machine Translation with Reranking—0
Pair Language Models for Deriving Alternative Pronunciations and Spellings from Pronunciation Dictionaries—0
Yandex School of Data Analysis Machine Translation Systems for WMT13—0
Omnifluent English-to-French and Russian-to-English Systems for the 2013 Workshop on Statistical Machine Translation—0
A Noisy Channel Model Framework for Grammatical Correction—0
UM-Checker: A Hybrid System for English Grammatical Error Correction—0
From newspaper to microblogging: What does it take to find opinions?—0
Robust Systems for Preposition Error Correction Using Wikipedia Revisions—0
Joint English Spelling Error Correction and POS Tagging for Language Learners Writing—0
A Unified Approach to Transliteration-based Text Input with Online Spelling Correction—0
A Discriminative Model for Query Spelling Correction with Latent Structural SVM—0
How Are Spelling Errors Generated and Corrected? A Study of Corrected and Uncorrected Spelling Errors Using Keystroke Logs—0
Vers la correction automatique de textes bruit\'es: Architecture g\'en\'erale et d\'etermination de la langue d'un mot inconnu (Towards Automatic Spell-Checking of Noisy Texts : General Architecture and Language Identification for Unknown Words) [in French]—0
Memory-based text correction for preposition and determiner errors—0
NAIST at the HOO 2012 Shared Task—0
Deep Neural Network Language Models—0
IDENTIC Corpus: Morphologically Enriched Indonesian-English Parallel Corpus—0
Arabic Word Generation and Modelling for Spell Checking—0
A Framework for Spelling Correction in Persian Language Using Noisy Channel Model—0
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