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

4 / 4 papers shown
Title
TiSpell: A Semi-Masked Methodology for Tibetan Spelling Correction covering Multi-Level Error with Data Augmentation
TiSpell: A Semi-Masked Methodology for Tibetan Spelling Correction covering Multi-Level Error with Data Augmentation
Yutong Liu
Feng Xiao
Ziyue Zhang
Yongbin Yu
Cheng Huang
...
Thupten Tsering
Cheng Huang
Gadeng Luosang
Renzeng Duojie
Nyima Tashi
31
0
0
12 May 2025
Correcting Arabic Soft Spelling Mistakes using BiLSTM-based Machine
  Learning
Correcting Arabic Soft Spelling Mistakes using BiLSTM-based Machine Learning
Gheith A. Abandah
Ashraf Suyyagh
M. Z. Khedher
17
13
0
02 Aug 2021
NeuSpell: A Neural Spelling Correction Toolkit
NeuSpell: A Neural Spelling Correction Toolkit
Sai Muralidhar Jayanthi
Danish Pruthi
Graham Neubig
KELM
LRM
16
64
0
21 Oct 2020
Combating Adversarial Misspellings with Robust Word Recognition
Combating Adversarial Misspellings with Robust Word Recognition
Danish Pruthi
Bhuwan Dhingra
Zachary Chase Lipton
13
300
0
27 May 2019
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