Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals

The quality of human translation was long thought to be unattainable for computer translation systems. In this study, we present a deep-learning system, CUBBITT, which challenges this view. In a context-aware blind evaluation by human judges, CUBBITT significantly outperformed professional-agency En...

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Detalles Bibliográficos
Autores principales: Popel, Martin, Tomkova, Marketa, Tomek, Jakub, Kaiser, Łukasz, Uszkoreit, Jakob, Bojar, Ondřej, Žabokrtský, Zdeněk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7463233/
https://www.ncbi.nlm.nih.gov/pubmed/32873773
http://dx.doi.org/10.1038/s41467-020-18073-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7463233/
https://www.ncbi.nlm.nih.gov/pubmed/32873773
http://dx.doi.org/10.1038/s41467-020-18073-9

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