@InProceedings{andresen-zinsmeister:2017:StyVa,
  author    = {Andresen, Melanie  and  Zinsmeister, Heike},
  title     = {Approximating Style by N-gram-based Annotation},
  booktitle = {Proceedings of the Workshop on Stylistic Variation},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {105--115},
  abstract  = {The concept of style is much debated in theoretical as well as empirical terms.
	From an empirical perspective, the key question is how to operationalize style
	and thus make it accessible for annotation and quantification. In authorship
	attribution, many different approaches have successfully resolved this issue at
	the cost of linguistic interpretability: The resulting algorithms may be able
	to distinguish one language variety from the other, but do not give us much
	information on their distinctive linguistic properties. We approach the issue
	of interpreting stylistic features by extracting linear and syntactic n-grams
	that are distinctive for a language variety. We present a study that
	exemplifies this process by a comparison of the German academic languages of
	linguistics and literary studies. Overall, our findings show that distinctive
	n-grams can be related to linguistic categories. The results suggest that the
	style of German literary studies is characterized by nominal structures and the
	style of linguistics by verbal ones.},
  url       = {http://www.aclweb.org/anthology/W17-4913}
}