Non-Fluent Synthetic Target-Language Data Improve Neural Machine Translation

When the amount of parallel sentences available to train a neural machine translation is scarce, a common practice is to generate new synthetic training samples from them. A number of approaches have been proposed to produce synthetic parallel sentences that are similar to those in the parallel data...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2024-02, Vol.46 (2), p.1-14
Hauptverfasser:	Sanchez-Cartagena, Victor M., Espla-Gomis, Miquel, Perez-Ortiz, Juan Antonio, Sanchez-Martinez, Felipe
Format:	Artikel
Sprache:	eng
Schlagworte:	Data augmentation Data models low-resource languages Machine translation multi-task learning Multitasking Neural networks Sentences Task analysis Training
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!