Spelling Correction

10 papers with code · Natural Language Processing
Subtask of Text Generation

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

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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

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

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

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

Robsut Wrod Reocginiton via semi-Character Recurrent Neural Network

7 Aug 2016simonroquette/CORAP

Inspired by the findings from the Cmabrigde Uinervtisy effect, we propose a word recognition model based on a semi-character level recurrent neural network (scRNN).

SPELLING CORRECTION

Neural Chinese Word Segmentation as Sequence to Sequence Translation

29 Nov 2019SourcecodeSharing/CWSpostediting

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.

CHINESE WORD SEGMENTATION SPELLING CORRECTION

MoNoise: Modeling Noise Using a Modular Normalization System

10 Oct 2017wesselreijngoud/masterthesis2019

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.

LEXICAL NORMALIZATION SPELLING CORRECTION WORD EMBEDDINGS