@InProceedings{orita:2017:CMCL,
  author    = {Orita, Naho},
  title     = {Predicting Japanese scrambling in the wild},
  booktitle = {Proceedings of the 7th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2017)},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {41--45},
  abstract  = {Japanese speakers have a choice between canonical SOV and scrambled OSV word
	order to express the same meaning. Although previous experiments examine the
	influence of one or two factors for scrambling in a controlled setting, it is
	not yet known what kinds of multiple effects contribute to scrambling. This
	study uses naturally distributed data to test the multiple effects on
	scrambling simultaneously. A regression analysis replicates the NP length
	effect and suggests the influence of noun types, but it provides no evidence
	for syntactic priming, given-new ordering, and the animacy effect. These
	findings only show evidence for sentence-internal factors, but we find no
	evidence that discourse level factors play a role.},
  url       = {http://www.aclweb.org/anthology/W17-0706}
}