Spelling Correction

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 52 papers with code (193 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• An Actor-Critic Algorithm for Sequence Prediction
  24 Jul 2016 3 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  We present an approach to training neural networks to generate sequences using actor-critic methods from reinforcement learning (RL).
• A Methodology for Generative Spelling Correction via Natural Spelling Errors Emulation across Multiple Domains and Languages
  18 Aug 2023 2 repositories listed
  Our research mainly focuses on exploring natural spelling errors and mistypings in texts and studying the ways those errors can be emulated in correct sentences to effectively enrich generative models' pre-train…
• Chinese Spelling Correction as Rephrasing Language Model
  17 Aug 2023 2 repositories listed
  However, we note a critical flaw in the process of tagging one character to another, that the correction is excessively conditioned on the error.
• An Extended Sequence Tagging Vocabulary for Grammatical Error Correction
  12 Feb 2023 2 repositories listed
  We extend a current sequence-tagging approach to Grammatical Error Correction (GEC) by introducing specialised tags for spelling correction and morphological inflection using the SymSpell and LemmInflect algorithms.
• Tokenization Repair in the Presence of Spelling Errors
  15 Oct 2020 2 repositories listed
  We identify three key ingredients of high-quality tokenization repair, all missing from previous work: deep language models with a bidirectional component, training the models on text with spelling errors, and making…
• Robust to Noise Models in Natural Language Processing Tasks
  1 Jul 2019 2 repositories listed
  There are a lot of noise texts surrounding a person in modern life.
• MoNoise: Modeling Noise Using a Modular Normalization System
  10 Oct 2017 2 repositories listed
  We show that MoNoise beats the state-of-the-art on different normalization benchmarks for English and Dutch, which all define the task of normalization slightly different.
• TiSpell: A Semi-Masked Methodology for Tibetan Spelling Correction covering Multi-Level Error with Data Augmentation
  12 May 2025 1 repository listed
  To tackle this, we propose a data augmentation approach using unlabeled text to generate multi-level corruptions, and introduce TiSpell, a semi-masked model capable of correcting both character- and syllable-level…
• Unveiling the Impact of Multimodal Features on Chinese Spelling Correction: From Analysis to Design
  10 Apr 2025 1 repository listed
  However, LLMs face limitations in CSC, particularly over-correction, making them suboptimal for this task.
• A Training-free LLM-based Approach to General Chinese Character Error Correction
  21 Feb 2025 1 repository listed
  To address this issue, we introduce the task of General Chinese Character Error Correction (C2EC), which focuses on all three types of character errors.
• Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning
  26 Nov 2024 1 repository listed
  Tokenization methods like Byte-Pair Encoding (BPE) enhance computational efficiency in large language models (LLMs) but often obscure internal character structures within tokens.
• CNMBERT: A Model for Converting Hanyu Pinyin Abbreviations to Chinese Characters
  18 Nov 2024 1 repository listed
  The task of converting Hanyu Pinyin abbreviations to Chinese characters is a significant branch within the domain of Chinese Spelling Correction (CSC).
• A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language Models
  5 Oct 2024 1 repository listed Syntology ran 1 of 4 samples · 3 unverified · 1 pointer-only (licence)
  This work proposes a simple training-free prompt-free approach to leverage large language models (LLMs) for the Chinese spelling correction (CSC) task, which is totally different from all previous CSC approaches.
• EdaCSC: Two Easy Data Augmentation Methods for Chinese Spelling Correction
  8 Sep 2024 1 repository listed
  Chinese Spelling Correction (CSC) aims to detect and correct spelling errors in Chinese sentences caused by phonetic or visual similarities.
• A Coin Has Two Sides: A Novel Detector-Corrector Framework for Chinese Spelling Correction
  6 Sep 2024 1 repository listed
  Our detector is designed to yield two error detection results, each characterized by high precision and recall.
• AraSpell: A Deep Learning Approach for Arabic Spelling Correction
  11 May 2024 1 repository listed
  Spelling correction is the task of identifying spelling mistakes, typos, and grammatical mistakes in a given text and correcting them according to their context and grammatical structure.
• Eval-GCSC: A New Metric for Evaluating ChatGPT's Performance in Chinese Spelling Correction
  14 Nov 2023 1 repository listed
  However, in the Chinese Spelling Correction (CSC) task, we observe a discrepancy: while ChatGPT performs well under human evaluation, it scores poorly according to traditional metrics.
• GIO: Gradient Information Optimization for Training Dataset Selection
  20 Jun 2023 1 repository listed
  Our contribution is in showing that it can be made highly scalable through a simple relaxation of the objective and a highly efficient implementation.
• SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappings
  4 Jun 2023 1 repository listed
  Contextual spelling correction models are an alternative to shallow fusion to improve automatic speech recognition (ASR) quality given user vocabulary.
• Rethinking Masked Language Modeling for Chinese Spelling Correction
  28 May 2023 1 repository listed
  In this paper, we study Chinese Spelling Correction (CSC) as a joint decision made by two separate models: a language model and an error model.
• Disentangled Phonetic Representation for Chinese Spelling Correction
  24 May 2023 1 repository listed
  Chinese Spelling Correction (CSC) aims to detect and correct erroneous characters in Chinese texts.
• An Error-Guided Correction Model for Chinese Spelling Error Correction
  16 Jan 2023 1 repository listed
  By borrowing the powerful ability of BERT, we propose a novel zero-shot error detection method to do a preliminary detection, which guides our model to attend more on the probably wrong tokens in encoding and to avoid…
• Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training
  19 Dec 2022 1 repository listed
  Language tasks involving character-level manipulations (e.
• CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers
  16 Nov 2022 1 repository listed
  In this paper, we present CSCD-NS, the first Chinese spelling check (CSC) dataset designed for native speakers, containing 40, 000 samples from a Chinese social platform.
• MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction
  21 Oct 2022 1 repository listed
  In this work, we define the task of Medical-domain Chinese Spelling Correction and propose MCSCSet, a large scale specialist-annotated dataset that contains about 200k samples.
• Look Ma, Only 400 Samples! Revisiting the Effectiveness of Automatic N-Gram Rule Generation for Spelling Normalization in Filipino
  6 Oct 2022 1 repository listed
  With 84.
• BSpell: A CNN-Blended BERT Based Bangla Spell Checker
  20 Aug 2022 1 repository listed
  A specialized BERT model named BSpell has been proposed in this paper targeted towards word for word correction in sentence level.
• ABB-BERT: A BERT model for disambiguating abbreviations and contractions
  8 Jul 2022 1 repository listed
  Abbreviations and contractions are commonly found in text across different domains.
• CRASpell: A Contextual Typo Robust Approach to Improve Chinese Spelling Correction
  1 May 2022 1 repository listed
  These methods have two limitations: (1) they have poor performance on multi-typo texts.
• Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems
  2 Mar 2022 1 repository listed
  In this work, we introduce a novel approach to do contextual biasing by adding a contextual spelling correction model on top of the end-to-end ASR system.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.