A diachronic study determining syntactic and semantic features of Urdu-English neural machine translation
Machine translation produces marginal accuracy rates for low-resource languages, but its deep learning model expects to yield improved accuracy with time. This longitudinal study investigates how Google Translate's Urdu-to-English translated output has evolved between 2018 and 2021. Accuracy and acc...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2024-01-01
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| Col·lecció: | Heliyon |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2405844023100910 |
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