About

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

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Datasets

Greatest papers with code

An Actor-Critic Algorithm for Sequence Prediction

24 Jul 2016joeynmt/joeynmt

We present an approach to training neural networks to generate sequences using actor-critic methods from reinforcement learning (RL).

MACHINE TRANSLATION SPELLING CORRECTION

GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors

LREC 2020 mhagiwara/github-typo-corpus

The lack of large-scale datasets has been a major hindrance to the development of NLP tasks such as spelling correction and grammatical error correction (GEC).

GRAMMATICAL ERROR CORRECTION SPELLING CORRECTION

NeuSpell: A Neural Spelling Correction Toolkit

21 Oct 2020neuspell/neuspell

We introduce NeuSpell, an open-source toolkit for spelling correction in English.

SPELLING CORRECTION

Unsupervised Context-Sensitive Spelling Correction of English and Dutch Clinical Free-Text with Word and Character N-Gram Embeddings

19 Oct 2017clips/clinspell

We present an unsupervised context-sensitive spelling correction method for clinical free-text that uses word and character n-gram embeddings.

SPELLING CORRECTION

DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm Based on Learned High Dimensional Encoding

CONLL 2018 System-T/DimSim

Phonetic similarity algorithms identify words and phrases with similar pronunciation which are used in many natural language processing tasks.

SPELLING CORRECTION

Kyoto University Participation to WAT 2016

WS 2016 fabiencro/knmt

We report very good translation results, especially when using neural MT for Chinese-to-Japanese translation.

MACHINE TRANSLATION SPELLING CORRECTION

Context-aware Stand-alone Neural Spelling Correction

12 Nov 2020jacklxc/StandAloneSpellingCorrection

Existing natural language processing systems are vulnerable to noisy inputs resulting from misspellings.

LANGUAGE MODELLING SPELLING CORRECTION