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Survey of Automatic Spelling Correction
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/j.1538-7305.1948.tb00917.xopenalex-snapshot
A Mathematical Theory of Communication
inferredcites →https://doi.org/10.1002/spe.2110openalex-snapshot
Grammatical and context‐sensitive error correction using a statistical machine translation framework
inferredcites →https://doi.org/10.1007/3-540-33521-8_56openalex-snapshot
Domain–Driven Automatic Spelling Correction for Mammography Reports
inferredcites →https://doi.org/10.1007/978-3-319-07064-3_29openalex-snapshot
Knowledge-Poor Context-Sensitive Spelling Correction for Modern Greek
inferredcites →https://doi.org/10.1007/978-3-319-41552-9_37openalex-snapshot
Evaluating Phonetic Spellers for User-Generated Content in Brazilian Portuguese
inferredcites →https://doi.org/10.1007/978-3-540-30228-5_5openalex-snapshot
Automatic Spelling Correction in Galician
inferredcites →https://doi.org/10.1007/978-3-642-11266-9_43openalex-snapshot
Dynamic Edit Distance Table under a General Weighted Cost Function
inferredcites →https://doi.org/10.1007/978-3-642-25631-8_10openalex-snapshot
Information Retrieval Strategies for Digitized Handwritten Medieval Documents
inferredcites →https://doi.org/10.1007/978-3-642-32790-2_24openalex-snapshot
Experiments and Results with Diacritics Restoration in Romanian
inferredcites →https://doi.org/10.1007/978-3-642-54903-8_43openalex-snapshot
State-of-the-Art in Weighted Finite-State Spell-Checking
inferredcites →https://doi.org/10.1007/978-3-642-54903-8_44openalex-snapshot
Spelling Correction for Kazakh
inferredcites →https://doi.org/10.1007/978-94-007-2105-0_5openalex-snapshot
Automatic Chinese Topic Term Spelling Correction in Online Pinyin Input
inferredcites →https://doi.org/10.1007/bf00116827openalex-snapshot
Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
inferredcites →https://doi.org/10.1007/bf01889984openalex-snapshot
Probability scoring for spelling correction
inferredcites →https://doi.org/10.1007/bf02960784openalex-snapshot
Combining trigram and automatic weight distribution in Chinese spelling error correction
inferredcites →https://doi.org/10.1007/pl00013558openalex-snapshot
OCRSpell: an interactive spelling correction system for OCR errors in text
inferredcites →https://doi.org/10.1007/s10032-002-0082-8openalex-snapshot
Fast string correction with Levenshtein automata
inferredcites →https://doi.org/10.1007/s10032-009-0095-7openalex-snapshot
Using topic models for OCR correction
inferredcites →https://doi.org/10.1007/s10032-015-0242-2openalex-snapshot
Automatic diacritization of Arabic text using recurrent neural networks
inferredcites →https://doi.org/10.1007/s10278-019-00296-yopenalex-snapshot
Automated Misspelling Detection and Correction in Persian Clinical Text
inferredcites →https://doi.org/10.1007/s10579-007-9028-6openalex-snapshot
A novel approach for ranking spelling error corrections for Urdu
inferredcites →https://doi.org/10.1007/s10579-017-9397-4openalex-snapshot
Real-word error correction with trigrams: correcting multiple errors in a sentence
inferredcites →https://doi.org/10.1007/s10791-006-1541-5openalex-snapshot
Multilingual modeling of cross-lingual spelling variants
inferredcites →https://doi.org/10.1007/s10791-008-9055-yopenalex-snapshot
Effect of OCR error correction on Arabic retrieval
inferredcites →https://doi.org/10.1007/s11042-016-4185-5openalex-snapshot
Learning string distance with smoothing for OCR spelling correction
inferredcites →https://doi.org/10.1007/s11704-015-5900-5openalex-snapshot
String similarity search and join: a survey
inferredcites →https://doi.org/10.1016/0022-2836(70)90057-4openalex-snapshot
A general method applicable to the search for similarities in the amino acid sequence of two proteins
inferredcites →https://doi.org/10.1016/0306-4573(83)90045-6openalex-snapshot
The rules of spelling errors
inferredcites →https://doi.org/10.1016/j.artmed.2011.08.003openalex-snapshot
Statistical semantic and clinician confidence analysis for correcting abbreviations and spelling errors in clinical progress notes
inferredcites →https://doi.org/10.1016/j.csl.2008.06.001openalex-snapshot
Arabic diacritic restoration approach based on maximum entropy models
inferredcites →https://doi.org/10.1016/j.ipl.2015.03.006openalex-snapshot
Longest common substrings with k mismatches
inferredcites →https://doi.org/10.1016/j.ipm.2015.12.010openalex-snapshot
Studying the effect and treatment of misspelled queries in Cross-Language Information Retrieval
inferredcites →https://doi.org/10.1016/j.jbi.2015.04.008openalex-snapshot
Automated misspelling detection and correction in clinical free-text records
inferredcites →https://doi.org/10.1016/j.jda.2015.05.007openalex-snapshot
Dynamic edit distance table under a general weighted cost function
inferredcites →https://doi.org/10.1016/j.patcog.2006.03.011openalex-snapshot
Learning stochastic edit distance: Application in handwritten character recognition
inferredcites →https://doi.org/10.1016/j.patcog.2012.10.002openalex-snapshot
Unsupervised profiling of OCRed historical documents
inferredcites →https://doi.org/10.1016/j.procs.2012.04.043openalex-snapshot
HASCH: High Performance Automatic Spell Checker for Portuguese Texts from the Web
inferredcites →https://doi.org/10.1016/j.sbspro.2014.05.083openalex-snapshot
Computer-assisted Revision in Spanish Academic Texts: Peer-assessment
inferredcites →https://doi.org/10.1016/s0933-3657(03)00052-6openalex-snapshot
Using lexical disambiguation and named-entity recognition to improve spelling correction in the electronic patient record
inferredcites →https://doi.org/10.1016/s1386-5056(03)00049-2openalex-snapshot
Using n-gram method in the decomposition of compound medical diagnoses
inferredcites →https://doi.org/10.1016/s1570-8667(03)00082-0openalex-snapshot
A dynamic edit distance table
inferredcites →https://doi.org/10.1017/s1351324911000039openalex-snapshot
Efficiently generating correction suggestions for garbled tokens of historical language
inferredcites →https://doi.org/10.1017/s1351324912000186openalex-snapshot
A novel string distance metric for ranking Persian respelling suggestions
inferredcites →https://doi.org/10.1017/s1351324913000284openalex-snapshot
A survey of automatic Arabic diacritization techniques
inferredcites →https://doi.org/10.1017/s1351324914000011openalex-snapshot
Selection of correction candidates for the normalization of Spanish user-generated content
inferredcites →https://doi.org/10.1017/s1351324915000030openalex-snapshot
Arabic spelling error detection and correction
inferredcites →https://doi.org/10.1017/s1351324917000407openalex-snapshot
A survey of diacritic restoration in abjad and alphabet writing systems
inferredcites →https://doi.org/10.1023/a:1007545901558openalex-snapshot
A Winnow-Based Approach to Context-Sensitive Spelling Correction
inferredcites →https://doi.org/10.1023/a:1009902609570openalex-snapshot
The TREC-5 Confusion Track: Comparing Retrieval Methods for Scanned Text
inferredcites →https://doi.org/10.1093/jamia/ocy171openalex-snapshot
Spell checker for consumer language (CSpell)
inferredcites →https://doi.org/10.1093/llc/fqt008openalex-snapshot
FarsiSpell: A spell-checking system for Persian using a large monolingual corpus
inferredcites →https://doi.org/10.1093/llc/fqu062openalex-snapshot
Discriminative reranking for context-sensitive spell–checker
inferredcites →https://doi.org/10.1109/69.536247openalex-snapshot
Tries for approximate string matching
inferredcites →https://doi.org/10.1109/aict47866.2019.8981776openalex-snapshot
Neural Spelling Correction for Azerbaijani Language
inferredcites →https://doi.org/10.1109/alpit.2007.102openalex-snapshot
Automatic Spelling Correction Rule Extraction and Application for Spoken-Style Korean Text
inferredcites →https://doi.org/10.1109/cidm.2013.6597246openalex-snapshot
Automotive diagnosis typo correction using domain knowledge and machine learning
inferredcites →https://doi.org/10.1109/ialp48816.2019.9037652openalex-snapshot
Chinese Spelling Check based on Sequence Labeling
inferredcites →https://doi.org/10.1109/icaicta.2018.8541321openalex-snapshot
ThaiQCor 2.0: Thai Query Correction via Soundex and Word Approximation
inferredcites →https://doi.org/10.1109/icaicta.2019.8904218openalex-snapshot
An LSTM-based Spell Checker for Indonesian Text
inferredcites →https://doi.org/10.1109/icasert.2019.8934536openalex-snapshot
Bangla Spell Checking and Correction Using Edit Distance
inferredcites →https://doi.org/10.1109/icasert.2019.8934902openalex-snapshot
Denoising Sequence-to-Sequence Modeling for Removing Spelling Mistakes
inferredcites →https://doi.org/10.1109/icbslp.2018.8554502openalex-snapshot
Detection and Correction of Real-Word Errors in Bangla Language
inferredcites →https://doi.org/10.1109/icdar.2007.4377043openalex-snapshot
A Weighted Finite-State Framework for Correcting Errors in Natural Scene OCR
inferredcites →https://doi.org/10.1109/icdar.2009.193openalex-snapshot
Bayesian Similarity Model Estimation for Approximate Recognized Text Search
inferredcites →https://doi.org/10.1109/icdar.2009.242openalex-snapshot
Low Cost Correction of OCR Errors Using Learning in a Multi-Engine Environment
inferredcites →https://doi.org/10.1109/icfhr.2010.99openalex-snapshot
Using Field Interdependence to Improve Correction Performance in a Transducer-Based OCR Post-Processing System
inferredcites →https://doi.org/10.1109/iciafs.2016.7946522openalex-snapshot
A novel hybrid approach to detect and correct spelling in Tamil text
inferredcites →https://doi.org/10.1109/icmla.2007.50openalex-snapshot
Memory-based context-sensitive spelling correction at web scale
inferredcites →https://doi.org/10.1109/icodse.2017.8285846openalex-snapshot
A statistical and rule-based spelling and grammar checker for Indonesian text
inferredcites →https://doi.org/10.1109/icpr.2002.1047807openalex-snapshot
DVHMM: variable length text recognition error model
inferredcites →https://doi.org/10.1109/icsmc.2001.969812openalex-snapshot
Toward filling the gap between interactive and fully-automatic spelling correction using the linguistic context
inferredcites →https://doi.org/10.1109/idap.2018.8620899openalex-snapshot
Spelling Correction Using Recurrent Neural Networks and Character Level N-gram
inferredcites →https://doi.org/10.1109/iec47844.2019.8950517openalex-snapshot
Spell checking algorithm for agglutinative languages “Central Kurdish as an example”
inferredcites →https://doi.org/10.1109/iri.2004.1431515openalex-snapshot
Supervised and unsupervised automatic spelling correction algorithms
inferredcites →https://doi.org/10.1109/nlpke.2005.1598827openalex-snapshot
A Double Metaphone Encoding for Bangla and its Application in Spelling Checker
inferredcites →https://doi.org/10.1109/spire.2000.878178openalex-snapshot
A survey of longest common subsequence algorithms
inferredcites →https://doi.org/10.1109/tasl.2010.2045240openalex-snapshot
A Stochastic Arabic Diacritizer Based on a Hybrid of Factorized and Unfactorized Textual Features
inferredcites →https://doi.org/10.1109/tasl.2012.2197612openalex-snapshot
Automatic Stochastic Arabic Spelling Correction With Emphasis on Space Insertions and Deletions
inferredcites →https://doi.org/10.1109/taslp.2019.2918404openalex-snapshot
Real-Word Errors in Arabic Texts: A Better Algorithm for Detection and Correction
inferredcites →https://doi.org/10.1109/tkde.2013.11openalex-snapshot
A Probabilistic Approach to String Transformation
inferredcites →https://doi.org/10.1145/146370.146380openalex-snapshot
Techniques for automatically correcting words in text
inferredcites →https://doi.org/10.1145/1963190.1963191openalex-snapshot
Indexing methods for approximate dictionary searching
inferredcites →https://doi.org/10.1145/2595188.2595191openalex-snapshot
An approach to unsupervised historical text normalisation
inferredcites →https://doi.org/10.1145/2595188.2595197openalex-snapshot
PoCoTo - an open source system for efficient interactive postcorrection of OCRed historical texts
inferredcites →https://doi.org/10.1145/2595188.2595216openalex-snapshot
On OCR ground truths and OCR post-correction gold standards, tools and formats
inferredcites →https://doi.org/10.1145/3047405openalex-snapshot
A Hybrid Model for Chinese Spelling Check
inferredcites →https://doi.org/10.1145/3077136.3080749openalex-snapshot
A Large-Scale Query Spelling Correction Corpus
inferredcites →https://doi.org/10.1145/315891.315979openalex-snapshot
Utilization of a lexicon for spelling correction in modern Greek
inferredcites →https://doi.org/10.1145/321796.321811openalex-snapshot
The String-to-String Correction Problem
inferredcites →https://doi.org/10.1145/3284869.3284923openalex-snapshot
How to simplify human-machine interaction
inferredcites →https://doi.org/10.1145/3308558.3313431openalex-snapshot
Context-Sensitive Malicious Spelling Error Correction
inferredcites →https://doi.org/10.1145/363958.363994openalex-snapshot
A technique for computer detection and correction of spelling errors
inferredcites →https://doi.org/10.1145/956750.956759openalex-snapshot
Adaptive duplicate detection using learnable string similarity measures
inferredcites →https://doi.org/10.1162/coli_a_00216openalex-snapshot
Spelling Error Patterns in Brazilian Portuguese
inferredcites →https://doi.org/10.1184/r1/6606476openalex-snapshot
Information Retrieval for OCR Documents: A Content-based Probabilistic Correction Model
inferredcites →https://doi.org/10.12928/telkomnika.v16i2.6890openalex-snapshot
Fast and Accurate Spelling Correction Using Trie and Damerau-levenshtein Distance Bigram
inferredcites →https://doi.org/10.1371/journal.pone.0107510openalex-snapshot
Taxamatch, an Algorithm for Near (‘Fuzzy’) Matching of Scientific Names in Taxonomic Databases
inferredcites →https://doi.org/10.1515/pralin-2016-0004openalex-snapshot
A Comparison of Four Character-Level String-to-String Translation Models for (OCR) Spelling Error Correction
inferredcites →https://doi.org/10.15598/aeee.v11i5.898openalex-snapshot
Unsupervised Spelling Correction for Slovak
inferredcites →https://doi.org/10.1561/1500000055openalex-snapshot
A Survey of Query Auto Completion in Information Retrieval
inferredcites →https://doi.org/10.17562/pb-40-6openalex-snapshot
Revised N-Gram based Automatic Spelling Correction Tool to Improve Retrieval Effectiveness
inferredcites →https://doi.org/10.17863/cam.37762openalex-snapshot
Automatic Detection and Correction of Context-Dependent DT-Mistakes in Dutch using Neural Networks
inferredcites →https://doi.org/10.18653/v1/d15-1051openalex-snapshot
Spelling Correction of User Search Queries through Statistical Machine Translation
inferredcites →https://doi.org/10.18653/v1/w15-3106openalex-snapshot
Introduction to SIGHAN 2015 Bake-off for Chinese Spelling Check
inferredcites →https://doi.org/10.18653/v1/w15-3108openalex-snapshot
Word Vector/Conditional Random Field-based Chinese Spelling Error Detection for SIGHAN-2015 Evaluation
inferredcites →https://doi.org/10.18653/v1/w16-2406openalex-snapshot
Data-Driven Spelling Correction using Weighted Finite-State Methods
inferredcites →https://doi.org/10.18653/v1/w17-1408openalex-snapshot
Spelling Correction for Morphologically Rich Language: a Case Study of Russian
inferredcites →https://doi.org/10.21437/interspeech.2011-480openalex-snapshot
Towards context-dependent phonetic spelling error correction in children's freely composed text for diagnostic and pedagogical purposes
inferredcites →https://doi.org/10.21437/interspeech.2019-1290openalex-snapshot
Investigation of Transformer Based Spelling Correction Model for CTC-Based End-to-End Mandarin Speech Recognition
inferredcites →https://doi.org/10.3115/1073012.1073017openalex-snapshot
Scaling to very very large corpora for natural language disambiguation
inferredcites →https://doi.org/10.3115/1073083.1073109openalex-snapshot
Pronunciation modeling for improved spelling correction
inferredcites →https://doi.org/10.3115/1075218.1075255openalex-snapshot
An improved error model for noisy channel spelling correction
inferredcites →https://doi.org/10.3115/1610075.1610132openalex-snapshot
Arabic OCR error correction using character segment correction, language modeling, and shallow morphology
inferredcites →https://doi.org/10.3115/1641976.1641983openalex-snapshot
Evaluation of several phonetic similarity algorithms on the task of cognate identification
inferredcites →https://doi.org/10.3115/974557.974582openalex-snapshot
Contextual spelling correction using latent semantic analysis
inferredcites →https://doi.org/10.3115/980451.980876openalex-snapshot
Classifier combination for improved lexical disambiguation
inferredcites →https://doi.org/10.3115/981863.981873openalex-snapshot
Combining Trigram-based and feature-based methods for context-sensitive spelling correction
inferredcites →https://doi.org/10.3115/997939.997975openalex-snapshot
A spelling correction program based on a noisy channel model
inferredcites →https://doi.org/10.3233/978-1-61499-619-4-32openalex-snapshot
Automatic Error Checking and Correction of Electronic Medical Records
inferredcites →https://doi.org/10.3233/978-1-61499-753-5-241openalex-snapshot
Improving Terminology Mapping in Clinical Text with Context-Sensitive Spelling Correction
inferredcites →https://doi.org/10.3233/jifs-169438openalex-snapshot
Deep learning based spell checker for Malayalam language
inferredcites →https://doi.org/10.3390/electronics8111248openalex-snapshot
Post Text Processing of Chinese Speech Recognition Based on Bidirectional LSTM Networks and CRF
inferredcites →https://doi.org/10.3390/info10060202openalex-snapshot
Spelling Correction of Non-Word Errors in Uyghur–Chinese Machine Translation
inferredcites →https://doi.org/10.48550/arxiv.1710.07045openalex-snapshot
Unsupervised Context-Sensitive Spelling Correction of English and Dutch Clinical Free-Text with Word and Character N-Gram Embeddings
inferredcites →https://doi.org/10.63317/2kjcdecwrng6openalex-snapshot
A Spell Checker for a World Language: The New Microsoft’s Spanish Spell Checker
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Handling Normalization Issues for Part-of-Speech Tagging of Online Conversational Text
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Automatic Correction Method for English Composition Errors Assisted by Artificial Intelligence
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A Comparison of Distributed, PAM, and Trie Data Structure Dictionaries in Automatic Spelling Correction for Indonesian Formal Text
inferred← citeshttps://doi.org/10.1109/mercon55799.2022.9906177openalex-snapshot
Language Model-Based Spell-Checker for Sri Lankan Names and Addresses
inferred← citeshttps://doi.org/10.1109/nics56915.2022.10013386openalex-snapshot
Vietnamese Electronic Medical Record Management with Text Preprocessing for Spelling Errors
inferred← citeshttps://doi.org/10.1109/ubmk67458.2025.11206935openalex-snapshot
A Novel Model of Deep Learning-Based Spelling Detection in Turkish
inferred← citeshttps://doi.org/10.1145/3461015openalex-snapshot
Data and Process Quality Evaluation in a Textual Big Data Archiving System
inferred← citeshttps://doi.org/10.1145/3665065.3665070openalex-snapshot
Robust Automated Spelling Correction with Deep Ensembles
inferred← citeshttps://doi.org/10.1145/3729236openalex-snapshot
Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge
inferred← citeshttps://doi.org/10.11591/ijeecs.v25.i3.pp1662-1671openalex-snapshot
Effects of using wordnet and spelling checker on classification methods in sentiment analysis for datasets using Bahasa
inferred← citeshttps://doi.org/10.1162/coli_a_00430openalex-snapshot
Revisiting the Boundary between ASR and NLU in the Age of Conversational Dialog Systems
inferred← citeshttps://doi.org/10.12785/ijcds/1301116openalex-snapshot
A new spell-checking approach based on the user profile
inferred← citeshttps://doi.org/10.1609/aaai.v39i27.35012openalex-snapshot
Reference-Based Post-OCR Processing with LLM for Precise Diacritic Text in Historical Document Recognition
inferred← citeshttps://doi.org/10.18280/isi.280522openalex-snapshot
Improving Spell Checker Performance for Bahasa Indonesia Using Text Preprocessing Techniques with Deep Learning Models
inferred← citeshttps://doi.org/10.18653/v1/2021.conll-1.52openalex-snapshot
The Influence of Regional Pronunciation Variation on Children’s Spelling and the Potential Benefits of Accent Adapted Spellcheckers
inferred← citeshttps://doi.org/10.18653/v1/2022.ecnlp-1.9openalex-snapshot
Spelling Correction using Phonetics in E-commerce Search
inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.145openalex-snapshot
Bi-Phone: Modeling Inter Language Phonetic Influences in Text
inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.570openalex-snapshot
UMRSpell: Unifying the Detection and Correction Parts of Pre-trained Models towards Chinese Missing, Redundant, and Spelling Correction
inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.809openalex-snapshot
Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual Communities
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-industry.15openalex-snapshot
Multi-teacher Distillation for Multilingual Spelling Correction
inferred← citeshttps://doi.org/10.21203/rs.3.rs-5735281/v1openalex-snapshot
The Ottoman-Turkish Transliteration using Traditional NLP Techniques
inferred← citeshttps://doi.org/10.2139/ssrn.5048009openalex-snapshot
A Deep Learning Model for Automating Marking of Students’ Assessments in a Learning Management System (Lms)
inferred← citeshttps://doi.org/10.21831/cp.v40i2.34546openalex-snapshot
U-TAPIS: AUTOMATIC SPELLING FILTER AS AN EFFORT TO IMPROVE INDONESIAN LANGUAGE COMPETENCIES OF JOURNALISTIC STUDENTS
inferred← citeshttps://doi.org/10.21833/ijaas.2025.10.001openalex-snapshot
A deep learning model for automated marking of students’ assessments in a learning management system (LMS)
inferred← citeshttps://doi.org/10.2196/91151openalex-snapshot
Detecting Misspelled Drug Names Using Transformer-Based Language Models: Model Development and External Validation
inferred← citeshttps://doi.org/10.22214/ijraset.2023.50147openalex-snapshot
Analysis of Different Text Features Using NLP
inferred← citeshttps://doi.org/10.23918/ijsses.v9i3p101openalex-snapshot
The Effect of Spell-Checker Features on Spelling Competence among EFL Learners: An Empirical Study
inferred← citeshttps://doi.org/10.23919/mipro55190.2022.9803646openalex-snapshot
NLP-based Typo Correction Model for Croatian Language
inferred← citeshttps://doi.org/10.31341/jios.47.2.10openalex-snapshot
Optimization of the results of a multilingual search engine using a fuzzy recommendation approach
inferred← citeshttps://doi.org/10.3233/faia220216openalex-snapshot
SpellInk: Interactive Correction of Spelling Mistakes in Handwritten Text
inferred← citeshttps://doi.org/10.33103/uot.ijccce.22.1.7openalex-snapshot
Auto-Correction Model for Lip Reading System
inferred← citeshttps://doi.org/10.33395/sinkron.v6i1.11224openalex-snapshot
Indonesian Spelling Error Detection and Type Identification Using Bigram Vector and Minimum Edit Distance Based Probabilities
inferred← citeshttps://doi.org/10.3384/ecp190openalex-snapshot
Proceedings of the 11th Workshop on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL 2022)
inferred← citeshttps://doi.org/10.3384/ecp190010openalex-snapshot
Evaluating Automatic Spelling Correction Tools on German Primary School Children’s Misspellings
inferred← citeshttps://doi.org/10.3390/computers13020039openalex-snapshot
Error Pattern Discovery in Spellchecking Using Multi-Class Confusion Matrix Analysis for the Croatian Language
inferred← citeshttps://doi.org/10.3390/computers13030076openalex-snapshot
Automatic Spell-Checking System for Spanish Based on the Ar2p Neural Network Model
inferred← citeshttps://doi.org/10.3390/computers14050193openalex-snapshot
Accounting Support Using Artificial Intelligence for Bank Statement Classification
inferred← citeshttps://doi.org/10.3390/data8050089openalex-snapshot
A Comprehensive Dataset of Spelling Errors and Users’ Corrections in Croatian Language
inferred← citeshttps://doi.org/10.3390/electronics12010161openalex-snapshot
Human–Computer Interaction for Intelligent Systems
inferred← citeshttps://doi.org/10.3390/electronics14183687openalex-snapshot
Integrating Temporal Interest Dynamics and Virality Factors for High-Precision Ranking in Big Data Recommendation
inferred← citeshttps://doi.org/10.3390/jmse13091657openalex-snapshot
Comparative Performance Analysis of Software-Based Restoration Techniques for NAVTEX Message
inferred← citeshttps://doi.org/10.3390/modelling3020015openalex-snapshot
Methods, Models and Tools for Improving the Quality of Textual Annotations
inferred← citeshttps://doi.org/10.3934/mbe.2022255openalex-snapshot
Error correction of semantic mathematical expressions based on bayesian algorithm
inferred← citeshttps://doi.org/10.4000/1364sopenalex-snapshot
Quelle solution pour améliorer les performances de la reconnaissance d’entités nommées sur des données bruitées, corriger l’entrée ou filtrer la sortie ?
inferred← citeshttps://doi.org/10.46914/1562-2959-2024-1-3-128-138openalex-snapshot
Economic aspects of error identification in semi-structured publications in the state language
inferred← citeshttps://doi.org/10.47111/jti.v17i1.5520openalex-snapshot
IMPLEMENTASI SPELLING CORRECTOR UNTUK MENGATASI TYPOGRAPHICAL ERROR PADA FITUR PENCARIAN APLIKASI KAMUS ISTILAH INFORMATIKA
inferred← citeshttps://doi.org/10.48550/arxiv.2103.06942openalex-snapshot
Imagined-Trailing-Whitespace-Agnostic Levenshtein Distance For Plaintext Table Detection
inferred← citeshttps://doi.org/10.55151/ijeedu.v7i1.188openalex-snapshot
A Comparative Analysis of Python Text Matching Libraries: A Multilingual Evaluation of Capabilities, Performance and Resource Utilization
inferred← citeshttps://doi.org/10.55630/dipp.2021.11.8openalex-snapshot
Machine Learning and Neural Networks Tools to Address Noisy Data Issues
inferred← citeshttps://doi.org/10.5715/jnlp.28.995openalex-snapshot
Building a Japanese Typo Dataset and Typo Correction System Based on Wikipedia’s Revision History
inferred← citeshttps://doi.org/10.5753/wapla.2023.236084openalex-snapshot
Automated Formal Register Scoring of Student Narrative Essays Written in Portuguese
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