Grammatical Error Correction with Denoising Autoencoder

A denoising autoencoder sequence-to-sequence model based on transformer architecture proved to be useful for underlying tasks such as summarization, machine translation, or question answering. This paper investigates the possibilities of using this model type for grammatical error correction and int...

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Vydané v:	International journal of advanced computer science & applications Ročník 12; číslo 8
Hlavní autori:	Pajak, Krzysztof, Gonczarek, Adam
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	West Yorkshire Science and Information (SAI) Organization Limited 2021
Predmet:	Error correction Error correction & detection Machine translation Noise reduction
ISSN:	2158-107X, 2156-5570
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