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

Xinyu Liu

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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 Yifei Hu X. Jing Youlim Ko Julia Taylor Rayz KELM 92 28 0 08 Jan 2021
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 Sai Muralidhar Jayanthi Danish Pruthi Graham Neubig KELM LRM 99 67 0 21 Oct 2020
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 Masato Hagiwara Masato Mita 74 28 0 28 Nov 2019
Combating Adversarial Misspellings with Robust Word Recognition Danish Pruthi Bhuwan Dhingra Zachary Chase Lipton 221 309 0 27 May 2019

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