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Improving Similar Language Translation With Transfer Learning (2108.03533v3)

Published 7 Aug 2021 in cs.AI and cs.CL

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.

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Authors (2)
  1. Ife Adebara (12 papers)
  2. Muhammad Abdul-Mageed (102 papers)
Citations (1)