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Spelling Error Correction Using a Nested RNN Model and Pseudo Training
  Data

Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data

1 November 2018
Hao Li
Yang Wang
Xinyu Liu
Zhichao Sheng
Si Wei
ArXiv (abs)PDFHTML

Papers citing "Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data"

6 / 6 papers shown
Title
Misspelling Correction with Pre-trained Contextual Language Model
Misspelling Correction with Pre-trained Contextual Language Model
Yifei Hu
X. Jing
Youlim Ko
Julia Taylor Rayz
KELM
92
28
0
08 Jan 2021
Context-aware Stand-alone Neural Spelling Correction
Context-aware Stand-alone Neural Spelling Correction
Xiangci Li
Hairong Liu
Liang Huang
LRM
62
9
0
12 Nov 2020
NeuSpell: A Neural Spelling Correction Toolkit
NeuSpell: A Neural Spelling Correction Toolkit
Sai Muralidhar Jayanthi
Danish Pruthi
Graham Neubig
KELMLRM
99
67
0
21 Oct 2020
Comparison of Interactive Knowledge Base Spelling Correction Models for
  Low-Resource Languages
Comparison of Interactive Knowledge Base Spelling Correction Models for Low-Resource Languages
Yiyuan Li
Antonios Anastasopoulos
A. Black
61
2
0
20 Oct 2020
GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings
  and Grammatical Errors
GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors
Masato Hagiwara
Masato Mita
74
28
0
28 Nov 2019
Combating Adversarial Misspellings with Robust Word Recognition
Combating Adversarial Misspellings with Robust Word Recognition
Danish Pruthi
Bhuwan Dhingra
Zachary Chase Lipton
221
309
0
27 May 2019
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