@inproceedings{inglese-brigada-villa-2021-inferring,
    title = "Inferring Morphological Complexity from Syntactic Dependency Networks: A Test",
    author = "Inglese, Guglielmo  and
      Brigada Villa, Luca",
    editor = {Vylomova, Ekaterina  and
      Salesky, Elizabeth  and
      Mielke, Sabrina  and
      Lapesa, Gabriella  and
      Kumar, Ritesh  and
      Hammarstr{\"o}m, Harald  and
      Vuli{\'c}, Ivan  and
      Korhonen, Anna  and
      Reichart, Roi  and
      Ponti, Edoardo Maria  and
      Cotterell, Ryan},
    booktitle = "Proceedings of the Third Workshop on Computational Typology and Multilingual NLP",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Author-page-Marten-During-lu/2021.sigtyp-1.2/",
    doi = "10.18653/v1/2021.sigtyp-1.2",
    pages = "10--22",
    abstract = "Research in linguistic typology has shown that languages do not fall into the neat morphological types (synthetic vs. analytic) postulated in the 19th century. Instead, analytic and synthetic must be viewed as two poles of a continuum and languages may show a mix analytic and synthetic strategies to different degrees. Unfortunately, empirical studies that offer a more fine-grained morphological classification of languages based on these parameters remain few. In this paper, we build upon previous research by Liu {\&} Xu (2011) and investigate the possibility of inferring information on morphological complexity from syntactic dependency networks."
}