CoLa Reading Group: Readings for 2013 - 2014

Han, C., Lidz, J., & Musolino, J. 2013. Grammar Selection in the Absence of Evidence: Korean Scope and Verb-Raising Revisited. Manuscript, University of Maryland College Park and Rutgers University. Please do not cite without permission from the authors.

Kol, S., Nir, B., & Wintner, S. 2014. Computational evaluation of the Traceback Method. Journal of Child Language, 41(1), 176-199.

Orita, N., McKeown, R., Feldman, N. H., Lidz, J., & Boyd-Graber, J. 2013. Discovering Pronoun Categories using Discourse Information. Proceedings of the Cognitive Science Society.

Ramscar, M., Dye, M., & McCauley, S. 2013. Error and expectation in language learning: The curious absence of mouses in adult speech. Language, 89(4), 760-793.

Reference Material to Readings

Freudenthal, D., Pine, J., & Gobet, F. 2010. Explaining quantitative variation in the rate of Optional Infinitive errors across languages: A comparison of MOSAIC and the Variational Learning Model. Journal of Child Language, 37(3), 643-669.

Pearl, L. 2011. When unbiased probabilistic learning is not enough: Acquiring a parametric system of metrical phonology. Language Acquisition, 18(2), 87-120.

Pullum, G. & Scholz, B. 2002. Empirical assessment of stimulus poverty arguments. The Linguistic Review, 18(1-2), 9-50.

Goodman, N. & Stuhlmueller, A. 2013. Knowledge and Implicature: Modeling Language Understanding as Social Cognition.Topics in Cognitive Science, 5, 173-184.

Legate, J., Pesetsky, D., & Yang, C. 2013. Recursive Misrepresentations: a Reply to Levinson (2013). Revised version to appear in Language. Please do not cite without permission from Julie Legate.

Levinson, S. 2013. Recursion in pragmatics. Language, 89(1), 149-162.

Meylan, S., Frank, M. C., & Levy, R. 2013. Modeling the development of determiner productivity in children's early speech. Proceedings of the 35th Annual Meeting of the Cognitive Science Society.

Omaki, A. & Lidz, J. 2013. Linking parser development to acquisition of linguistic knowledge. Manuscript, Johns Hopkins University and University of Maryland, College Park. Please do not cite without permission from Akira Omaki.

Reference Material to Readings

Frank, M. & Goodman, N. 2012. Language Games. Science, 336, 998.

Yang, C. 2013. Onotogeny and philogeny of language. 2013. Proceedings of the National Academy of Science, 110 (16). doi:10.1073/pnas.1216803110.

Ambridge, B., Pine, J., & Lieven, E. 2013 in press. Child language acquisition: Why Universal Grammar doesn't help. Language.

Lewis, M. & Frank. M. 2013. An integrated model of concept learning and word-concept mapping. Proceedings of the 35th Annual Meeting of the Cognitive Science Society.

Marcus, G. & Davis, E. 2013. How Robust Are Probabilistic Models of Higher-Level Cognition? Psychological Science, published online Oct 1, 2013, doi:10.1177/095679761349541.

Nematzadeh,A., Fazly, A., & Stevenson, S. 2013. Desirable Difficulty in Learning: A Computational Investigation. Proceedings of the 35th Annual Meeting of the Cognitive Science Society.

Reference Material to Readings

Chater, N., Goodman, N., Griffiths, T., Kemp, C., Oaksford, M., & Tenenbaum, J. 2011. The imaginary fundamentalists: The unshocking truth about Bayesian cognitive science. Behavioral and Brain Sciences, 34 (4), 194-196.

Fazly, A., Alishahi, A., & Stevenson, S. 2010. A probabilistic computational model of cross-situational word learning. Cognitive Science, 34(6), 1017–1063.

Frank, M. C., Goodman, N. D., & Tenenbaum, J. 2009. Using speakers’ referential intentions to model early cross-situational word learning. Psychological Science, 20, 578–585.

Jones, M. & Love, M. 2011. Bayesian Fundamentalism or Enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition. Behavioral and Brain Sciences, 34 (4), 169-188.