@inproceedings{berdicevskis-etal-2018-using,
    title = "Using {U}niversal {D}ependencies in cross-linguistic complexity research",
    author = {Berdicevskis, Aleksandrs  and
      {\c{C}}{\"o}ltekin, {\c{C}}a{\u{g}}r{\i}  and
      Ehret, Katharina  and
      von Prince, Kilu  and
      Ross, Daniel  and
      Thompson, Bill  and
      Yan, Chunxiao  and
      Demberg, Vera  and
      Lupyan, Gary  and
      Rama, Taraka  and
      Bentz, Christian},
    booktitle = "Proceedings of the Second Workshop on Universal Dependencies ({UDW} 2018)",
    month = nov,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W18-6002",
    doi = "10.18653/v1/W18-6002",
    pages = "8--17",
    abstract = "We evaluate corpus-based measures of linguistic complexity obtained using Universal Dependencies (UD) treebanks. We propose a method of estimating robustness of the complexity values obtained using a given measure and a given treebank. The results indicate that measures of syntactic complexity might be on average less robust than those of morphological complexity. We also estimate the validity of complexity measures by comparing the results for very similar languages and checking for unexpected differences. We show that some of those differences that arise can be diminished by using parallel treebanks and, more importantly from the practical point of view, by harmonizing the language-specific solutions in the UD annotation.",
}