python -m venv mmtenv
source mmtenv/bin/activate

git clone https://github.com/edaiofficial/mmtafrica.git
cd mmtafrica
pip install -r requirements.txt

@inproceedings{emezue-dossou-2021-mmtafrica,
    title = "{MMTA}frica: Multilingual Machine Translation for {A}frican Languages",
    author = "Emezue, Chris Chinenye  and
      Dossou, Bonaventure F. P.",
    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-1.48",
    pages = "398--411",
    abstract = "In this paper, we focus on the task of multilingual machine translation for African languages and describe our contribution in the 2021 WMT Shared Task: Large-Scale Multilingual Machine Translation. We introduce MMTAfrica, the first many-to-many multilingual translation system for six African languages: Fon (fon), Igbo (ibo), Kinyarwanda (kin), Swahili/Kiswahili (swa), Xhosa (xho), and Yoruba (yor) and two non-African languages: English (eng) and French (fra). For multilingual translation concerning African languages, we introduce a novel backtranslation and reconstruction objective, BT{\&}REC, inspired by the random online back translation and T5 modelling framework respectively, to effectively leverage monolingual data. Additionally, we report improvements from MMTAfrica over the FLORES 101 benchmarks (spBLEU gains ranging from +0.58 in Swahili to French to +19.46 in French to Xhosa).",
}