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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...
Autores principales: | Popel, Martin, Tomkova, Marketa, Tomek, Jakub, Kaiser, Łukasz, Uszkoreit, Jakob, Bojar, Ondřej, Žabokrtský, Zdeněk |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
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 |
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