@inproceedings{adebara-abdul-mageed-2021-improving,
    title = "Improving Similar Language Translation With Transfer Learning",
    author = "Adebara, Ife  and
      Abdul-Mageed, Muhammad",
    booktitle = "Proceedings of the Sixth Conference on Machine Translation",
    month = nov,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.wmt-1.27",
    pages = "273--278",
    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.",
}
{"language": ["bm", "fr"]}
transformers pytorch marian text2text-generation bm fr autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #marian #text2text-generation #bm #fr #autotrain_compatible #endpoints_compatible #region-us 

@inproceedings{adebara-abdul-mageed-2021-improving,
    title = "Improving Similar Language Translation With Transfer Learning",
    author = "Adebara, Ife  and
      Abdul-Mageed, Muhammad",
    booktitle = "Proceedings of the Sixth Conference on Machine Translation",
    month = nov,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "URL
    pages = "273--278",
    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.",
}
TAGS
#transformers #pytorch #marian #text2text-generation #bm #fr #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #marian #text2text-generation #bm #fr #autotrain_compatible #endpoints_compatible #region-us 
