@inproceedings{dabre-sukhoo-2022-kreolmorisienmt,
    title = "{K}reol{M}orisien{MT}: A Dataset for Mauritian Creole Machine Translation",
    author = "Dabre, Raj  and
      Sukhoo, Aneerav",
    editor = "He, Yulan  and
      Ji, Heng  and
      Li, Sujian  and
      Liu, Yang  and
      Chang, Chua-Hui",
    booktitle = "Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022",
    month = nov,
    year = "2022",
    address = "Online only",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.findings-aacl.3/",
    doi = "10.18653/v1/2022.findings-aacl.3",
    pages = "22--29",
    abstract = "In this paper, we describe KreolMorisienMT, a dataset for benchmarking machine translation quality of Mauritian Creole. Mauritian Creole (Kreol Morisien) is a French-based creole and a lingua franca of the Republic of Mauritius. KreolMorisienMT consists of a parallel corpus between English and Kreol Morisien, French and Kreol Morisien and a monolingual corpus for Kreol Morisien. We first give an overview of Kreol Morisien and then describe the steps taken to create the corpora. Thereafter, we benchmark Kreol Morisien {\ensuremath{\leftrightarrow}} English and Kreol Morisien {\ensuremath{\leftrightarrow}} French models leveraging pre-trained models and multilingual transfer learning. Human evaluation reveals our systems' high translation quality."
}