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
Most implemented papers
SEARNN: Training RNNs with Global-Local Losses
We propose SEARNN, a novel training algorithm for recurrent neural networks (RNNs) inspired by the "learning to search" (L2S) approach to structured prediction.
Systematically Adapting Machine Translation for Grammatical Error Correction
Our model rivals the current state of the art using a fraction of the training data.
Unsupervised Context-Sensitive Spelling Correction of English and Dutch Clinical Free-Text with Word and Character N-Gram Embeddings
We present an unsupervised context-sensitive spelling correction method for clinical free-text that uses word and character n-gram embeddings.
DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm Based on Learned High Dimensional Encoding
Phonetic similarity algorithms identify words and phrases with similar pronunciation which are used in many natural language processing tasks.
A Benchmark Corpus of English Misspellings and a Minimally-supervised Model for Spelling Correction
We also develop a minimallysupervised context-aware approach to spelling correction.
GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors
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).
Neural Chinese Word Segmentation as Sequence to Sequence Translation
In this paper, we cast the CWS as a sequence translation problem and propose a novel sequence-to-sequence CWS model with an attention-based encoder-decoder framework.
Domain-shift Conditioning using Adaptable Filtering via Hierarchical Embeddings for Robust Chinese Spell Check
Spell check is a useful application which processes noisy human-generated text.
NeuSpell: A Neural Spelling Correction Toolkit
We introduce NeuSpell, an open-source toolkit for spelling correction in English.
Context-aware Stand-alone Neural Spelling Correction
Existing natural language processing systems are vulnerable to noisy inputs resulting from misspellings.