@inproceedings{lilliestrom-etal-2019-inferring,
    title = "Inferring morphological rules from small examples using 0/1 linear programming",
    author = {Lilliestr{\"o}m, Ann  and
      Claessen, Koen  and
      Smallbone, Nicholas},
    editor = "Hartmann, Mareike  and
      Plank, Barbara",
    booktitle = "Proceedings of the 22nd Nordic Conference on Computational Linguistics",
    month = sep # "–" # oct,
    year = "2019",
    address = "Turku, Finland",
    publisher = {Link{\"o}ping University Electronic Press},
    url = "https://preview.aclanthology.org/ingest_wac_2008/W19-6118/",
    pages = "164--174",
    abstract = "We show how to express the problem of finding an optimal morpheme segmentation from a set of labelled words as a 0/1 linear programming problem, and how to build on this to analyse a language`s morphology. The approach works even when there is very little training data available."
}