@inproceedings{sanchez-martinez-etal-2024-lightweight,
    title = "Lightweight neural translation technologies for low-resource languages",
    author = "S{\'a}nchez-Mart{\'i}nez, Felipe  and
      P{\'e}rez-Ortiz, Juan Antonio  and
      S{\'a}nchez-Cartagena, V{\'i}ctor  and
      Lou, Andr{\'e}s  and
      Garc{\'i}a-Romero, Cristian  and
      Galiano-Jim{\'e}nez, Aar{\'o}n  and
      Espl{\`a}-Gomis, Miquel",
    editor = "Scarton, Carolina  and
      Prescott, Charlotte  and
      Bayliss, Chris  and
      Oakley, Chris  and
      Wright, Joanna  and
      Wrigley, Stuart  and
      Song, Xingyi  and
      Gow-Smith, Edward  and
      Forcada, Mikel  and
      Moniz, Helena",
    booktitle = "Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2)",
    month = jun,
    year = "2024",
    address = "Sheffield, UK",
    publisher = "European Association for Machine Translation (EAMT)",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2024.eamt-2.3/",
    pages = "4--5",
    abstract = "The LiLowLa ({\textquotedblleft}Lightweight neural translation technologies for low-resource languages{\textquotedblright}) project aims to enhance machine translation (MT) and translation memory (TM) technologies, particularly for low-resource language pairs, where adequate linguistic resources are scarce. The project started in September 2022 and will run till August 2025."
}