@inproceedings{asahara-etal-2018-predicting,
    title = "Predicting {J}apanese Word Order in Double Object Constructions",
    author = "Asahara, Masayuki  and
      Nambu, Satoshi  and
      Sano, Shin-Ichiro",
    editor = "Idiart, Marco  and
      Lenci, Alessandro  and
      Poibeau, Thierry  and
      Villavicencio, Aline",
    booktitle = "Proceedings of the Eight Workshop on Cognitive Aspects of Computational Language Learning and Processing",
    month = jul,
    year = "2018",
    address = "Melbourne",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/W18-2805/",
    doi = "10.18653/v1/W18-2805",
    pages = "36--40",
    abstract = "This paper presents a statistical model to predict Japanese word order in the double object constructions. We employed a Bayesian linear mixed model with manually annotated predicate-argument structure data. The findings from the refined corpus analysis confirmed the effects of information status of an NP as `givennew ordering' in addition to the effects of `long-before-short' as a tendency of the general Japanese word order."
}