Improving Similar Language Translation With Transfer Learning
Artificial Intelligence
2021-10-08 v3 Computation and Language
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 ( BLEU) and Portuguese-Spanish ( BLEU) rank top 1 in the official shared task evaluation, and we are the only team to submit models for the French-Bambara pairs.
Cite
@article{arxiv.2108.03533,
title = {Improving Similar Language Translation With Transfer Learning},
author = {Ife Adebara and Muhammad Abdul-Mageed},
journal= {arXiv preprint arXiv:2108.03533},
year = {2021}
}
Comments
Submitted to WMT 2021 Similar Language Task