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Improving Similar Language Translation With Transfer Learning

2021-08-07 22:25:46
Ife Adebara, Muhammad Abdul-Mageed
arXiv_AI
   
Abstract

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.

Abstract (translated)

URL

https://arxiv.org/abs/2108.03533

PDF

https://arxiv.org/pdf/2108.03533.pdf

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