@inproceedings{domingo-casacuberta-2018-spelling,
    title = "Spelling Normalization of Historical Documents by Using a Machine Translation Approach",
    author = "Domingo, Miguel  and
      Casacuberta, Francisco",
    editor = "P{\'e}rez-Ortiz, Juan Antonio  and
      S{\'a}nchez-Mart{\'i}nez, Felipe  and
      Espl{\`a}-Gomis, Miquel  and
      Popovi{\'c}, Maja  and
      Rico, Celia  and
      Martins, Andr{\'e}  and
      Van den Bogaert, Joachim  and
      Forcada, Mikel L.",
    booktitle = "Proceedings of the 21st Annual Conference of the European Association for Machine Translation",
    month = may,
    year = "2018",
    address = "Alicante, Spain",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2018.eamt-main.13/",
    pages = "149--158",
    abstract = "The lack of a spelling convention in historical documents makes their orthography to change depending on the author and the time period in which each document was written. This represents a problem for the preservation of the cultural heritage, which strives to create a digital text version of a historical document. With the aim of solving this problem, we propose three approaches{---}based on statistical, neural and character-based machine translation{---}to adapt the document`s spelling to modern standards. We tested these approaches in different scenarios, obtaining very encouraging results."
}