KreolMorisienMT: A Dataset for Mauritian Creole Machine Translation

Raj Dabre; Aneerav Sukhoo

doi:10.18653/v1/2022.findings-aacl.3

KreolMorisienMT: A Dataset for Mauritian Creole Machine Translation

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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 ↔ English and Kreol Morisien ↔ French models leveraging pre-trained models and multilingual transfer learning. Human evaluation reveals our systems’ high translation quality.

Anthology ID:: 2022.findings-aacl.3
Volume:: Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022
Month:: November
Year:: 2022
Address:: Online only
Editors:: Yulan He, Heng Ji, Sujian Li, Yang Liu, Chua-Hui Chang
Venue:: Findings
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 22–29
Language:
URL:: https://aclanthology.org/2022.findings-aacl.3/
DOI:: 10.18653/v1/2022.findings-aacl.3
Bibkey:
Cite (ACL):: Raj Dabre and Aneerav Sukhoo. 2022. KreolMorisienMT: A Dataset for Mauritian Creole Machine Translation. In Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, pages 22–29, Online only. Association for Computational Linguistics.
Cite (Informal):: KreolMorisienMT: A Dataset for Mauritian Creole Machine Translation (Dabre & Sukhoo, Findings 2022)
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PDF:: https://aclanthology.org/2022.findings-aacl.3.pdf
Dataset:: 2022.findings-aacl.3.Dataset.zip

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@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://aclanthology.org/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."
}

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%0 Conference Proceedings
%T KreolMorisienMT: A Dataset for Mauritian Creole Machine Translation
%A Dabre, Raj
%A Sukhoo, Aneerav
%Y He, Yulan
%Y Ji, Heng
%Y Li, Sujian
%Y Liu, Yang
%Y Chang, Chua-Hui
%S Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022
%D 2022
%8 November
%I Association for Computational Linguistics
%C Online only
%F dabre-sukhoo-2022-kreolmorisienmt
%X 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 \ensuremathłeftrightarrow English and Kreol Morisien \ensuremathłeftrightarrow French models leveraging pre-trained models and multilingual transfer learning. Human evaluation reveals our systems’ high translation quality.
%R 10.18653/v1/2022.findings-aacl.3
%U https://aclanthology.org/2022.findings-aacl.3/
%U https://doi.org/10.18653/v1/2022.findings-aacl.3
%P 22-29

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Markdown (Informal)

[KreolMorisienMT: A Dataset for Mauritian Creole Machine Translation](https://aclanthology.org/2022.findings-aacl.3/) (Dabre & Sukhoo, Findings 2022)

KreolMorisienMT: A Dataset for Mauritian Creole Machine Translation (Dabre & Sukhoo, Findings 2022)

ACL

Raj Dabre and Aneerav Sukhoo. 2022. KreolMorisienMT: A Dataset for Mauritian Creole Machine Translation. In Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, pages 22–29, Online only. Association for Computational Linguistics.