@inproceedings{nasir-mchechesi-2022-geographical,
    title = "Geographical Distance Is The New Hyperparameter: A Case Study Of Finding The Optimal Pre-trained Language For {E}nglish-isi{Z}ulu Machine Translation.",
    author = "Nasir, Muhammad Umair  and
      Mchechesi, Innocent",
    editor = "Asai, Akari  and
      Choi, Eunsol  and
      Clark, Jonathan H.  and
      Hu, Junjie  and
      Lee, Chia-Hsuan  and
      Kasai, Jungo  and
      Longpre, Shayne  and
      Yamada, Ikuya  and
      Zhang, Rui",
    booktitle = "Proceedings of the Workshop on Multilingual Information Access (MIA)",
    month = jul,
    year = "2022",
    address = "Seattle, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Ingest-2025-COMPUTEL/2022.mia-1.1/",
    doi = "10.18653/v1/2022.mia-1.1",
    pages = "1--8"
}