Improving Similar Language Translation With Transfer Learning
Adebara, Ife, Abdul-Mageed, Muhammad
–arXiv.org Artificial Intelligence
We investigate transfer learning based on pre-trained neural machine translation models to translate between (low-resource) similar languages. This work is part of our contribution to the WMT 2021 Similar Languages Translation Shared Task where we submitted models for different language pairs, including French-Bambara, Spanish-Catalan, and Spanish-Portuguese in both directions. Our models for Catalan-Spanish ($82.79$ BLEU) and Portuguese-Spanish ($87.11$ BLEU) rank top 1 in the official shared task evaluation, and we are the only team to submit models for the French-Bambara pairs.
arXiv.org Artificial Intelligence
Aug-11-2021
- Country:
- North America > Canada
- British Columbia (0.04)
- Europe
- Bulgaria (0.05)
- Middle East > Republic of Türkiye
- Istanbul Province > Istanbul (0.04)
- Finland > Uusimaa
- Helsinki (0.04)
- Asia
- Nepal (0.04)
- Middle East > Republic of Türkiye
- Istanbul Province > Istanbul (0.04)
- North America > Canada
- Genre:
- Research Report (0.50)
- Technology: