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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Bibliographic Details

Published in:	International journal of advanced computer science & applications Vol. 12; no. 8
Main Authors:	Pajak, Krzysztof, Gonczarek, Adam
Format:	Journal Article
Language:	English
Published:	West Yorkshire Science and Information (SAI) Organization Limited 2021
Subjects:	Error correction Error correction & detection Machine translation Noise reduction
ISSN:	2158-107X, 2156-5570
Online Access:	Get full text
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