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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מידע ביבליוגרפי

Principais autores:	Tamkeen Zehra Shah, Muhammad Imran, Sayed M. Ismail
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Elsevier 2024-01-01
סדרה:	Heliyon
נושאים:	Neural machine translation Urdu Low-resource language Google translate Interlinear gloss Comparative syntax
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S2405844023100910
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