@article{LagoShalomSigmanetal.2015,
  author    = {Lago, Sol and Shalom, Diego E. and Sigman, Mariano and Lau, Ellen F. and Phillips, Colin},
  title     = {Agreement attraction in Spanish comprehension},
  series = {Journal of memory and language},
  volume    = {82},
  journal   = {Journal of memory and language},
  publisher = {Elsevier},
  address   = {San Diego},
  issn      = {0749-596X},
  doi       = {10.1016/j.jml.2015.02.002},
  pages     = {133 -- 149},
  year      = {2015},
  abstract  = {Previous studies have found that English speakers experience attraction effects when comprehending subject-verb agreement, showing eased processing of ungrammatical sentences that contain a syntactically unlicensed but number-matching noun. In four self-paced reading experiments we examine whether attraction effects also occur in Spanish, a language where agreement morphology is richer and functionally more significant. We find that despite having a richer morphology, Spanish speakers show reliable attraction effects in comprehension, and that these effects are strikingly similar to those previously found in English in their magnitude and distributional profile. Further, we use distributional analyses to argue that cue-based memory retrieval is used as an error-driven mechanism in comprehension. We suggest that cross-linguistic similarities in agreement attraction result from speakers deploying repair or error-driven mechanisms uniformly across languages. (C) 2015 Elsevier Inc. All rights reserved.},
  language  = {en}
}
@article{PaapeAvetisyanLagoetal.2021,
  author    = {Paape, Dario and Avetisyan, Serine and Lago, Sol and Vasishth, Shravan},
  title     = {Modeling misretrieval and feature substitution in agreement attraction},
  series = {Cognitive science},
  volume    = {45},
  journal   = {Cognitive science},
  number    = {8},
  publisher = {Wiley-Blackwell},
  address   = {Malden, Mass.},
  issn      = {0364-0213},
  doi       = {10.1111/cogs.13019},
  pages     = {30},
  year      = {2021},
  abstract  = {We present computational modeling results based on a self-paced reading study investigating number attraction effects in Eastern Armenian. We implement three novel computational models of agreement attraction in a Bayesian framework and compare their predictive fit to the data using k-fold cross-validation. We find that our data are better accounted for by an encoding-based model of agreement attraction, compared to a retrieval-based model. A novel methodological contribution of our study is the use of comprehension questions with open-ended responses, so that both misinterpretation of the number feature of the subject phrase and misassignment of the thematic subject role of the verb can be investigated at the same time. We find evidence for both types of misinterpretation in our study, sometimes in the same trial. However, the specific error patterns in our data are not fully consistent with any previously proposed model.},
  language  = {en}
}