@InProceedings{futrell-levy:2017:EACLlong,
  author    = {Futrell, Richard  and  Levy, Roger},
  title     = {Noisy-context surprisal as a human sentence processing cost model},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {688--698},
  abstract  = {We use the noisy-channel theory of human sentence comprehension to develop an
	incremental processing cost model that unifies and extends key features of
	expectation-based and memory-based models. In this model, which we call
	noisy-context surprisal, the processing cost of a word is the surprisal of the
	word given a noisy representation of the preceding context. We show that this
	model accounts for an outstanding puzzle in sentence comprehension,
	language-dependent structural forgetting effects (Gibson and Thomas, 1999;
	Vasishth et al., 2010; Frank et al., 2016), which are previously not well
	modeled by either expectation-based or memory-based approaches. Additionally,
	we show that this model derives and generalizes locality effects (Gibson, 1998;
	Demberg and Keller, 2008), a signature prediction of memory-based models. We
	give corpus-based evidence for a key assumption in this derivation.},
  url       = {http://www.aclweb.org/anthology/E17-1065}
}