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A Hybrid Model for Chinese Spelling Check

https://doi.org/10.1145/3047405
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/csla.1999.0128openalex-snapshot
An empirical study of smoothing techniques for language modeling
inferredcites →https://doi.org/10.1007/978-3-642-00831-3_14openalex-snapshot
A Simple and Efficient Model Pruning Method for Conditional Random Fields
inferredcites →https://doi.org/10.1007/978-3-642-37256-8_21openalex-snapshot
An Empirical Study on Word Segmentation for Chinese Machine Translation
inferredcites →https://doi.org/10.1109/34.506792openalex-snapshot
A survey of methods and strategies in character segmentation
inferredcites →https://doi.org/10.1109/icnc.2007.648openalex-snapshot
Scaling Conditional Random Field with Application to Chinese Word Segmentation
inferredcites →https://doi.org/10.1137/s0097539795290477openalex-snapshot
Finding the k Shortest Paths
inferredcites →https://doi.org/10.1145/1781134.1781135openalex-snapshot
A Unified Character-Based Tagging Framework for Chinese Word Segmentation
inferredcites →https://doi.org/10.1145/1967293.1967297openalex-snapshot
Visually and Phonologically Similar Characters in Incorrect Chinese Words
inferredcites →https://doi.org/10.18653/v1/p16-1039openalex-snapshot
Neural Word Segmentation Learning for Chinese
inferredcites →https://doi.org/10.21437/interspeech.2008-271openalex-snapshot
IRSTLM: an open source toolkit for handling large scale language models
inferredcites →https://doi.org/10.3115/1220575.1220695openalex-snapshot
Learning a spelling error model from search query logs
inferredcites →https://doi.org/10.3115/1609067.1609165openalex-snapshot
Character-level dependencies in Chinese
inferredcites →https://doi.org/10.3115/1699648.1699674openalex-snapshot
Improving nominal SRL in Chinese language with verbal SRL information and automatic predicate recognition
inferredcites →https://doi.org/10.3115/v1/p14-1142openalex-snapshot
A Joint Graph Model for Pinyin-to-Chinese Conversion with Typo Correction
inferredcites →https://doi.org/10.3115/v1/w14-6820openalex-snapshot
Overview of SIGHAN 2014 Bake-off for Chinese Spelling Check
inferredcites →https://doi.org/10.3115/v1/w14-6821openalex-snapshot
Extended HMM and Ranking Models for Chinese Spelling Correction
inferredcites →https://doi.org/10.3115/v1/w14-6822openalex-snapshot
Chinese Word Spelling Correction Based on Rule Induction
inferredcites →https://doi.org/10.3115/v1/w14-6825openalex-snapshot
An Improved Graph Model for Chinese Spell Checking
inferredcites →https://doi.org/10.3115/v1/w14-6826openalex-snapshot
Introduction to NJUPT Chinese Spelling Check Systems in CLP-2014 Bakeoff
inferredcites →https://doi.org/10.3115/v1/w14-6827openalex-snapshot
Chinese Spelling Check System Based on Tri-gram Model
inferredcites →https://doi.org/10.3115/v1/w14-6828openalex-snapshot
Introduction to BIT Chinese Spelling Correction System at CLP 2014 Bake-off
inferredcites →https://doi.org/10.3115/v1/w14-6832openalex-snapshot
Chinese Spell Checking Based on Noisy Channel Model
inferredcites →https://doi.org/10.3115/v1/w14-6833openalex-snapshot
NTOU Chinese Spelling Check System in CLP Bake-off 2014
inferredcites →https://doi.org/10.3115/v1/w14-6834openalex-snapshot
NCTU and NTUT’s Entry to CLP-2014 Chinese Spelling Check Evaluation
inferredcites →https://doi.org/10.3115/v1/w14-6835openalex-snapshot
Chinese Spelling Error Detection and Correction Based on Language Model, Pronunciation, and Shape
inferredcites →https://doi.org/10.63317/3sux5sdeyea6openalex-snapshot
How Large a Corpus Do We Need: Statistical Method Versus Rule-based Method
inferredcites →https://doi.org/10.63317/4v6jo9xfnqwbopenalex-snapshot
Spell Checking for Chinese

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-32236-6_31openalex-snapshot
Automatic Proofreading in Chinese: Detect and Correct Spelling Errors in Character-Level with Deep Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-32236-6_49openalex-snapshot
Automatic Chinese Spelling Checking and Correction Based on Character-Based Pre-trained Contextual Representations
inferred← citeshttps://doi.org/10.1007/978-3-031-11217-1_11openalex-snapshot
Chinese Spelling Error Detection and Correction Based on Knowledge Graph
inferred← citeshttps://doi.org/10.1007/978-3-032-21168-2_5openalex-snapshot
An External Knowledge Enhanced Multimodal Method for Improving Chinese Spelling Correction
inferred← citeshttps://doi.org/10.1007/978-981-33-4572-0_104openalex-snapshot
Application of Text Proofreading System Based on Artificial Intelligence
inferred← citeshttps://doi.org/10.1007/978-981-95-5382-2_32openalex-snapshot
Adaptive Multi-source Fusion for Uyghur ASR Error Correction
inferred← citeshttps://doi.org/10.1017/nlp.2024.61openalex-snapshot
Chinese spelling correction based on Long Short-Term Memory Network-enhanced Transformer and dynamic adaptive weighted multi-task learning
inferred← citeshttps://doi.org/10.1109/access.2023.3295004openalex-snapshot
How to Progressively Build Thai Spelling Correction Systems?
inferred← citeshttps://doi.org/10.1109/access.2025.3578335openalex-snapshot
Graph-Enhanced Deep Learning With Character Similarity Mining for Automated NOTAM Correction in Aviation Systems
inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892297openalex-snapshot
A Multimodal Method for Chinese Spelling Correction
inferred← citeshttps://doi.org/10.1109/ispce-asia64773.2024.10756270openalex-snapshot
DBCERT: Reconstruct the BERT Model for Chinese Spelling Correction
inferred← citeshttps://doi.org/10.1109/seb4sdg60871.2024.10630121openalex-snapshot
Automatic Spelling Corrector for Yoruba Language Using Edit Distance and N-Gram Language Models
inferred← citeshttps://doi.org/10.1109/taslp.2021.3083108openalex-snapshot
Domain-Shift Conditioning Using Adaptable Filtering Via Hierarchical Embeddings for Robust Chinese Spell Check
inferred← citeshttps://doi.org/10.1117/12.2629117openalex-snapshot
Text local error detection and correction based on N-gram for Chinese homophone replacement
inferred← citeshttps://doi.org/10.1145/3511808.3557636openalex-snapshot
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction
inferred← citeshttps://doi.org/10.1145/3639479.3639524openalex-snapshot
Multi-stage Legal Instrument Grammatical Error Correction via Seq2Edit and Data Augmentation
inferred← citeshttps://doi.org/10.12677/csa.2023.133037openalex-snapshot
Research on Chinese Proofreading Technology with Feed-Back Mechanism
inferred← citeshttps://doi.org/10.1631/fitee.2400504openalex-snapshot
Shared-weight multimodal translation model for recognizing Chinese variant characters
inferred← citeshttps://doi.org/10.18653/v1/2020.findings-emnlp.184openalex-snapshot
Chunk-based Chinese Spelling Check with Global Optimization
inferred← citeshttps://doi.org/10.18653/v1/2021.findings-emnlp.202openalex-snapshot
What If Sentence-hood is Hard to Define: A Case Study in Chinese Reading Comprehension
inferred← citeshttps://doi.org/10.18653/v1/d19-5522openalex-snapshot
FASPell: A Fast, Adaptable, Simple, Powerful Chinese Spell Checker Based On DAE-Decoder Paradigm
inferred← citeshttps://doi.org/10.18653/v1/n19-1279openalex-snapshot
Improving Cross-Domain Chinese Word Segmentation with Word Embeddings
inferred← citeshttps://doi.org/10.18653/v1/p17-2096openalex-snapshot
Fast and Accurate Neural Word Segmentation for Chinese
inferred← citeshttps://doi.org/10.18653/v1/p18-4024openalex-snapshot
Moon IME: Neural-based Chinese Pinyin Aided Input Method with Customizable Association
inferred← citeshttps://doi.org/10.18653/v1/s18-1147openalex-snapshot
SJTU-NLP at SemEval-2018 Task 9: Neural Hypernym Discovery with Term Embeddings
inferred← citeshttps://doi.org/10.3233/faia230627openalex-snapshot
MIATS:A Chinese Spelling Error Correction Algorithm Based on Multimodal Information Alignment of Three-Towers Structure
inferred← citeshttps://doi.org/10.3390/app11135832openalex-snapshot
Think Twice: A Post-Processing Approach for the Chinese Spelling Error Correction
inferred← citeshttps://doi.org/10.3390/electronics8111248openalex-snapshot
Post Text Processing of Chinese Speech Recognition Based on Bidirectional LSTM Networks and CRF
inferred← citeshttps://doi.org/10.3390/electronics9101670openalex-snapshot
Survey of Automatic Spelling Correction
inferred← citeshttps://doi.org/10.48550/arxiv.1806.09103openalex-snapshot
Subword-augmented Embedding for Cloze Reading Comprehension
inferred← citeshttps://doi.org/10.48550/arxiv.1903.01698openalex-snapshot
Improving Cross-Domain Chinese Word Segmentation with Word Embeddings
inferred← citeshttps://doi.org/10.53469/jssh.2023.5(10).29openalex-snapshot
Analysis of Lexical Errors and Automatic Recognition Routes in Chinese Interlanguage
inferred← citeshttps://doi.org/10.54097/ijeh.v4i1.1406openalex-snapshot
Analysis of Chinese Text Automatic Proofreading Technology
inferred← citeshttps://doi.org/10.57702/xl3y0nutopenalex-snapshot
Subword-augmented Embedding for Cloze Reading Comprehension
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