LIACC/Emakhuwa-FLORES

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@inproceedings{ali-etal-2024-expanding,
    title = "Expanding {FLORES}+ Benchmark for More Low-Resource Settings: {P}ortuguese-Emakhuwa Machine Translation Evaluation",
    author = "Ali, Felermino Dario Mario  and
      Lopes Cardoso, Henrique  and
      Sousa-Silva, Rui",
    editor = "Haddow, Barry  and
      Kocmi, Tom  and
      Koehn, Philipp  and
      Monz, Christof",
    booktitle = "Proceedings of the Ninth Conference on Machine Translation",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.wmt-1.45",
    pages = "579--592",
    abstract = "As part of the Open Language Data Initiative shared tasks, we have expanded the FLORES+ evaluation set to include Emakhuwa, a low-resource language widely spoken in Mozambique. We translated the \textit{dev} and \textit{devtest} sets from Portuguese into Emakhuwa, and we detail the translation process and quality assurance measures used. Our methodology involved various quality checks, including post-editing and adequacy assessments. The resulting datasets consist of multiple reference sentences for each source. We present baseline results from training a Neural Machine Translation system and fine-tuning existing multilingual translation models. Our findings suggest that spelling inconsistencies remain a challenge in Emakhuwa. Additionally, the baseline models underperformed on this evaluation set, unders

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signal: "permissive"
stated_licence: "cc-by-sa-4.0"
sources: 0