Readings from previous years can be found below:
[2015-2016] [2014-2015] [2013-2014] [2012-2013] [2011-2012] [2010-2011]

Discussed Spring 2017

Han, C. H., Musolino, J., & Lidz, J. 2016. Endogenous sources of variation in language acquisition. Proceedings of the National Academy of Sciences, 113(4), 942-947.

Lasnik, H., & Lidz, J. L. 2017 in press. The Argument from the Poverty of the Stimulus. In Ian Roberts (ed)., The Oxford Handbook of Universal Grammar. Oxford University Press.

Lidz, J., Han, C. H., & Musolino, J. 2016. Reply to Piantadosi and Kidd: Endogenous content. Proceedings of the National Academy of Sciences, 1447.

Meylan, S. C., Frank, M. C., Roy, B. C., & Levy, R. 2017. The Emergence of an Abstract Grammatical Category in Children’s Early Speech. Psychological Science.

Piantadosi, S. T., & Kidd, C. 2016. Endogenous or exogenous? The data don’t say. Proceedings of the National Academy of Sciences, 603.

Yang, C., Crain, S., Berwick, R. C., Chomsky, N., & Bolhuis, J. J. 2017. The growth of language: Universal Grammar, experience, and principles of computation. Neuroscience & Biobehavioral Reviews.

Discussed Winter 2017

Iyyer, M., Enns, P., Boyd-Graber, J., & Resnik, P. 2014. Political ideology detection using recursive neural networks. In Proceedings of the Association for Computational Linguistics.

Mikolov, T., Yih, W. T., & Zweig, G. 2013. Linguistic Regularities in Continuous Space Word Representations. In HLT-NAACL Vol. 13, pp. 746-751.

Ranganath, R., Jurafsky, D., & McFarland, D. A. 2013. Detecting friendly, flirtatious, awkward, and assertive speech in speed-dates. Computer Speech & Language, 27(1), 89-115.

Rubin, V. L., Conroy, N. J., & Chen, Y. 2015. Towards News Verification: Deception Detection Methods for News Discourse. In Proceedings of the Hawaii International Conference on System Sciences (HICSS48) Symposium on Rapid Screening Technologies, Deception Detection and Credibility Assessment Symposium.

Discussed Fall 2016

Degen, J., & Goodman, N. D. 2014. Lost your marbles? The puzzle of dependent measures in experimental pragmatics. In Proceedings of the 36th annual conference of the cognitive science society, 397-402.

Kao, J. T., Levy, R., & Goodman, N. D. 2016. A Computational Model of Linguistic Humor in Puns. Cognitive Science, 40. 1270–1285.

Lloyd-Kelly, M., Gobet, F., & Lane, P. C. Under Pressure: How Time-Limited Cognition Explains Statistical Learning by 8-Month Old Infants. In Proceedings of the 38th annual conference of the cognitive science society.

McCauley, S. M., & Christiansen, M. H. 2014. Prospects for usage‐based computational models of grammatical development: argument structure and semantic roles. Wiley Interdisciplinary Reviews: Cognitive Science, 5(4), 489-499.