Reading List
Brent, M. 1999. An efficient, probabilistically sound algorithm for segmentation and word discovery. Machine Learning, 34(1):71-106.
Brill, Eric and Shyam Kapur. 1993. An information-theoretic solution to parameter setting. Technical Report IRCS-93-07, Institute for Research in Cognitive Science, University of Pennsylvania.
Gildea, Daniel and Daniel Jurafsky. 1996. Learning bias and phonological-rule induction. Computational Linguistics, 22(4):497–530.
Goldwater, Sharon and Mark Johnson. 2003. Learning OT Constraint Rankings Using a Maximum Entropy Model, In Proceedings of the Stockholm Workshop on Variation within Optimality Theory. Eds: Jennifer Spenader, Anders Eriksson, and ึsten Dahl. pp.111-120.
Goldwater, Sharon and Mark Johnson (2005) Representational Bias in Unsupervised Learning of Syllable Structure, Proceedings of the Workshop on Psychocomputational Models of Human Language Acquisition, ACL 2005.
Hayes, Bruce and Colin Wilson. To appear. A maximum entropy model of phonotactics and phonotactic learning. Linguistic Inquiry.
Jarosz, Gaja. 2006. Richness of the Base and Probabilistic Unsupervised Learning in Optimality Theory. Association for Computational Linguistics: Proceedings of the Eighth Meeting of the ACL Special Interest Group in Computational Phonology.
Kim, Albert E., Bangalore Srinivas, and John C. Trueswell. 2002 A computational model of the grammatical aspects of word recognition as supertagging. In Suzanne Stevenson and Paola Merlo, editors, The Lexical Basis of Sentence Processing: Formal, Computational and Experimental Issues, pages 109–136. John Benjamins.
Klein, Dan and Chris Manning. 2002. A generative constituent-context model for improved grammar induction. In Proc. 40th Annual Meeting Association for Computational Linguistics, pp. 128–135.
Klein, Dan and Chris Manning. 2004. Corpus-based induction of syntactic structure: Models of dependency and constituency. In Proc.42nd Annual Meeting Association for Computational Linguistics, pp. 479–486
Kuhl, Patricia. 2000. A New View of Language Acquisition. Proceedings of the National Academy of Sciences 97:11850-11857.
Maye, Jessica and LouAnn Gerken. 2001. Learning Phonemes: How Far Can the Input Take Us? Proceedings of the BU Conference on Language Development. 480-490.
Mintz, T.H., Newport, E.L., & Bever, T.G. 2002. The distributional structure of grammatical categories in speech to young children. Cognitive Science, 26:393-425.
Peperkamp, S., Le Calvez, R., Nadal, J.P. and Dupoux, E. 2006. The acquisition of allophonic rules: statistical learning with linguistic constraints. Cognition 101(3):B31-B41.
Perfors, A., Tenenbaum, J., and Regier, T. 2006. Poverty of the Stimulus? A rational approach. 28th Annual Conference of the Cognitive Science Society.
Resnik. Philip. 1996. Selectional Constraints: An Information-Theoretic Model and its Computational Realization, Cognition, 61:127-159.
Tenenbaum, J.B. and T. L. Griffiths 2001. Generalization, similarity, and Bayesian inference. Behavioral and Brain Sciences, 24:629-641.
Tenenbaum, J.B. and F. Xu. 2000, Word learning as Bayesian inference. Proceedings of the 22nd Annual Conference of the Cognitive Science Society.
Xu, F. and J. B. Tenenbaum,. In press, Word learning as Bayesian inference. Psychological Review.