Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine Translation

The data scarcity in low-resource languages has become a bottleneck to building robust neural machine translation systems. Fine-tuning a multilingual pre-trained model (e.g., mBART (Liu et al., 2020)) on the translation task is a good approach for low-resource languages; however, its performance wil...

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Hauptverfasser:	Liu, Zihan, Winata, Genta Indra, Fung, Pascale
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computation and Language
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