Spelling Correction
42 papers with code • 0 benchmarks • 4 datasets
Spelling correction is the task of detecting and correcting spelling mistakes.
Benchmarks
These leaderboards are used to track progress in Spelling Correction
GitHub Typo Corpus
CSCD-IME
MCSCSet
Viwiki-Spelling
Latest papers
Eval-GCSC: A New Metric for Evaluating ChatGPT's Performance in Chinese Spelling Correction
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.
A Methodology for Generative Spelling Correction via Natural Spelling Errors Emulation across Multiple Domains and Languages
ai-forever/sage
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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 procedure.
Chinese Spelling Correction as Rephrasing Language Model
gingasan/lemon
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However, we note a critical flaw in the process of tagging one character to another, that the correction is excessively conditioned on the error.
GIO: Gradient Information Optimization for Training Dataset Selection
daeveraert/gradient-information-optimization
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It is often advantageous to train models on a subset of the available train examples, because the examples are of variable quality or because one would like to train with fewer examples, without sacrificing performance.
SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappings
NVIDIA/NeMo
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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
gingasan/lemon
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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
Chinese Spelling Correction (CSC) aims to detect and correct erroneous characters in Chinese texts.
An Extended Sequence Tagging Vocabulary for Grammatical Error Correction
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.
An Error-Guided Correction Model for Chinese Spelling Error Correction
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 modifying the correct tokens in generating.
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training
Language tasks involving character-level manipulations (e. g., spelling corrections, arithmetic operations, word games) are challenging for models operating on subword units.
