A Transformer-Based Neural Machine Translation Model for Arabic Dialects That Utilizes Subword Units

Languages that allow free word order, such as Arabic dialects, are of significant difficulty for neural machine translation (NMT) because of many scarce words and the inefficiency of NMT systems to translate these words. Unknown Word (UNK) tokens represent the out-of-vocabulary words for the reason...

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Detalles Bibliográficos
Autores principales: Baniata, Laith H., Ampomah, Isaac. K. E., Park, Seyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512729/
https://www.ncbi.nlm.nih.gov/pubmed/34640835
http://dx.doi.org/10.3390/s21196509

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512729/
https://www.ncbi.nlm.nih.gov/pubmed/34640835
http://dx.doi.org/10.3390/s21196509

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