@inproceedings{scannell-2022-diachronic,
    title = "Diachronic Parsing of Pre-Standard {I}rish",
    author = "Scannell, Kevin",
    editor = "Fransen, Theodorus  and
      Lamb, William  and
      Prys, Delyth",
    booktitle = "Proceedings of the 4th Celtic Language Technology Workshop within LREC2022",
    month = jun,
    year = "2022",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2022.cltw-1.2",
    pages = "7--13",
    abstract = "Irish underwent a major spelling standardization in the 1940{'}s and 1950{'}s, and as a result it can be challenging to apply language technologies designed for the modern language to older, {``}pre-standard{''} texts. Lemmatization, tagging, and parsing of these pre-standard texts play an important role in a number of applications, including the lexicographical work on Focl{\'o}ir Stairi{\'u}il na Gaeilge, a historical dictionary of Irish covering the period from 1600 to the present. We have two main goals in this paper. First, we introduce a small benchmark corpus containing just over 3800 words, annotated according to the Universal Dependencies guidelines and covering a range of dialects and time periods since 1600. Second, we establish baselines for lemmatization, tagging, and dependency parsing on this corpus by experimenting with a variety of machine learning approaches.",
}