A Neural Machine Translation Model for Arabic Dialects That Utilises Multitask Learning (MTL)

In this research article, we study the problem of employing a neural machine translation model to translate Arabic dialects to modern standard Arabic. The proposed solution of the neural machine translation model is prompted by the recurrent neural network-based encoder-decoder neural machine transl...

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Detalles Bibliográficos
Autores principales: Baniata, Laith H., Park, Seyoung, Park, Seong-Bae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311304/
https://www.ncbi.nlm.nih.gov/pubmed/30643518
http://dx.doi.org/10.1155/2018/7534712

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311304/
https://www.ncbi.nlm.nih.gov/pubmed/30643518
http://dx.doi.org/10.1155/2018/7534712

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