Elman, J. L. (1990). Finding structure in time. Cognitive Science, 14:179-211. [ bib | .pdf ]

Clark, A. and Eyraud, R. (2006). Learning auxiliary fronting with grammatical inference. In Proceedings of CoNLL, pages 125-132, New York. [ bib ]

Thompson, S. P. and Newport, E. L. (2007). Statistical learning of syntax: The role of transitional probability. Language Learning and Development, (3):1-42. [ bib ]

Saffran, J. R., Aslin, R. N., and Newport, E. L. (1996). Statistical learning by 8-month old infants. Science, 274(5294):1926-1928. [ bib ]

Berwick, R. C. and Pilato, S. F. (1987). Learning syntax by automata induction. Machine Learning, 2(1):9-38. [ bib ]

Osborne, M. and Briscoe, T. (1997). Learning stochastic categorial grammars. In CoNLL97, pages 80-87. ACL. [ bib ]

Crystal, D. (1997). The Cambridge Encyclopedia of Language. Cambridge University Press. [ bib ]

Crystal, D. (2003). The Cambridge Encyclopedia of the English Language. Cambridge University Press, New York. [ bib ]

Albright, A. and Hayes, B. (2002). Modeling english past tense intuitions with minimal generalization. In SIGPHON 6: Proceedings of the Sixth Meeting of the ACL Special Interest Group in Computational Phonology, pages 58-–69. [ bib ]

Goldsmith, J. (2001). Unsupervised learning of the morphology of a natural language. Computational Linguistics, 27(2):153-198. [ bib | http ]

Brent, M. R. and Cartwright, T. A. (1996). Distributional regularity and phonotactic constraints are useful for segmentation. Cognition, 61:93-125. [ bib | http ]

Cartwright, T. A. and Brent, M. R. (1994). Segmenting speech without a lexicon: The roles of phonotactics and speech source. [ bib | http ]

Chater, N. and Vitányi, P. (2007). `ideal learning' of natural language: Positive results about learning from positive evidence. Journal of Mathematical Psychology, 51:135-163. [ bib ]

Tomasello, M. (2006). Acquiring linguistic constructions. In Kuhn, D. and Siegler, R. S., editors, Handbook of Child Psychology, pages 255-298. Wiley, New York. [ bib ]

Hauser, M. D., Chomsky, N., and Fitch, W. T. (2002). The faculty of language: what is it, who has it, and how did it evolve? Science, 298(5598):1569-1579. [ bib | http ]

Lappin, S. and Shieber, S. M. (2007). Machine learning theory and practice as a source of insight into universal grammar. Journal of Linguistics, 43(2):393-427. [ bib | .pdf ]

Pullum, G. K. and Scholz, B. C. (2002). Empirical assessment of stimulus poverty arguments. The Linguistic Review, 19:9-50. [ bib ]

Valiant, L. G. (1984). A theory of the learnable. Communications of ACM, 27(11):1134-1142. [ bib | http ]

Gold, E. M. (1967). Language identification in the limit. Information and Control, 10(5):447-474. [ bib | .html ]

Siskind, J. M. (1996). A computational study of cross-situational techniques for learning word-to-meaning mappings. Cognition, 61(1-2):1-38. [ bib ]

Xu, F. and Tenenbaum, J. B. (2007). Word learning as Bayesian inference. Psychological Review, 117(2):245-272. [ bib | .pdf ]

Clark, A., Eyraud, R., and Habrard, A. (2008). A polynomial algorithm for the inference of context free languages. In Proceedings of International Colloquium on Grammatical Inference. Springer. [ bib ]

Klein, D. and Manning, C. (2002). A generative constituent-context model for improved grammar induction. In Proceedings of the Association for Computational Linguistics (ACL). [ bib ]

Klein, D. and Manning, C. (2004). Corpus-based induction of syntactic structure: Models of dependency and constituency. In Proceedings of the Association for Computational Linguistics (ACL). [ bib ]

Solan, Z., Horn, D., Ruppin, E., and Edelman, S. (2005). Unsupervised learning of natural languages. Proceedings of National Academy of Sciences, 102:11629-11634. [ bib ]

Yang, C. D. (1999). A selectionist theory of language development. In Proceedings of 37th Meeting of the Association for Computational Linguistics, pages 429-435. Association for Computational Linguistics. [ bib | .html ]

Yang, C. D. A formal theory of language development. [ bib | .html ]

Yang, C. D. (2002). Knowledge and Learning in Natural Language. Oxford. [ bib ]

Zettlemoyer, L. S. and Collins, M. (2005). Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars. In Proceedings of the Twenty First Conference on Uncertainty in Artificial Intelligence (UAI-05). [ bib | .pdf ]


This file was generated by bibtex2html 1.92.