@InProceedings{berzak-EtAl:2017:Long,
  author    = {Berzak, Yevgeni  and  Nakamura, Chie  and  Flynn, Suzanne  and  Katz, Boris},
  title     = {Predicting Native Language from Gaze},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {541--551},
  abstract  = {A fundamental question in language learning concerns the role of a speaker's
	first language in second language acquisition. We present a novel methodology
	for studying this question: analysis of eye-movement patterns in second
	language reading of free-form text. Using this methodology, we demonstrate for
	the first time that the native language of English learners can be predicted
	from their gaze fixations when reading English. We provide analysis of
	classifier uncertainty and learned features, which indicates that differences
	in English reading are likely to be rooted in linguistic divergences across
	native languages. The presented framework complements production studies and
	offers new ground for advancing research on multilingualism.},
  url       = {http://aclweb.org/anthology/P17-1050}
}