@inproceedings{truong-etal-2026-vikhomt,
    title = "{V}i{K}ho{MT}: A {V}ietnamese{--}K'{H}o Neural Machine Translation Dataset and Evaluation for Community Health Communication",
    author = "Truong, Tram  and
      Nguyen, Vinh  and
      Thin, Dang Van  and
      Nguyen, Ngan",
    editor = "Piperidis, Stelios  and
      Bel, N{\'u}ria  and
      van den Heuvel, Henk  and
      Ide, Nancy  and
      Krek, Simon  and
      Toral, Antonio",
    booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resource Association",
    url = "https://preview.aclanthology.org/paragraph-normalization/2026.lrec-1.687/",
    doi = "10.63317/4tvv9uk7fqgn",
    pages = "8725--8739",
    abstract = "The Vietnamese government is prioritizing the socio-economic development and societal integration of ethnic minorities, including the K{'}Ho people. However, the lack of digital resources creates significant communication barriers, particularly in the critical domain of community health. To address this gap, we introduce ViKhoMT, a new, professionally curated Vietnamese-K{'}Ho parallel dataset containing approximately 10,000 sentence pairs focused on community health communication. To demonstrate the dataset{'}s quality and establish performance benchmarks, we conducted comprehensive evaluations by fine-tuning several pre-trained Neural Machine Translation (NMT) models. Our experiments show that a system based on the M2M100 architecture achieves BLEU scores of 60.5 for K{'}Ho-to-Vietnamese and 56.4 for Vietnamese-to-K{'}Ho, respectively. We release our dataset to the research community for free research purposes to support future studies and the development of practical translation tools for the K{'}Ho community. The dataset is publicly available at \url{https://github.com/NgocTram2711/ViKhoMT}."
}