Using adaptor grammars to identify synergies in the unsupervised acquisition of linguistic structure

ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference

Volumn , Issue , 2008, Pages 398-406

  Johnson, Mark ^a  

^a BROWN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LINGUISTIC PHENOMENA; LINGUISTIC PROPERTIES; LINGUISTIC STRUCTURE; NON-PARAMETRIC BAYESIAN; PROBABILISTIC CONTEXT FREE GRAMMARS; SUBTREES; TRAINING DATA;

COMPUTATIONAL LINGUISTICS;

SPEECH RECOGNITION;

EID: 84858427431     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. N. Bernstein-Ratner. 1987. The phonology of parentchild speech. In K. Nelson and A. van Kleeck, editors, Children's Language, volume 6. Erlbaum, Hillsdale, NJ.
2. Rens Bod. 1998. Beyond grammar: an experience-based theory of language. CSLI Publications, Stanford, California.
3. Sharon Goldwater and Mark Johnson. 2005. Representational bias in unsupervised learning of syllable structure. In Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL- 2005), pages 112-119, Ann Arbor, Michigan, June. Association for Computational Linguistics.
4. Sharon Goldwater, Thomas L. Griffiths, and Mark Johnson. 2006a. Contextual dependencies in unsupervised word segmentation. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, pages 673-680, Sydney, Australia, July. Association for Computational Linguistics.
5. Sharon Goldwater, Tom Griffiths, and Mark Johnson. 2006b. Interpolating between types and tokens by estimating power-law generators. In Y. Weiss, B. Schölkopf, and J. Platt, editors, Advances in Neural Information Processing Systems 18, pages 459-466, Cambridge, MA. MIT Press.
6. Sharon Goldwater, Thomas L. Griffiths, and Mark Johnson. 2007. Distributional cues to word boundaries: Context is important. In David Bamman, Tatiana Magnitskaia, and Colleen Zaller, editors, Proceedings of the 31st Annual Boston University Conference on Language Development, pages 239-250, Somerville, MA. Cascadilla Press.
7. Sonia Jain and Radford M. Neal. 2007. Splitting and merging components of a nonconjugate dirichlet processmixturemodel. Bayesian Analysis, 2(3):445-472.
8. Mark Johnson, Thomas Griffiths, and Sharon Goldwater. 2007a. Bayesian inference for PCFGs via Markov chain Monte Carlo. In Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference, pages 139-146, Rochester, New York, April. Association for Computational Linguistics.
9. Mark Johnson, Thomas L. Griffiths, and Sharon Goldwater. 2007b. Adaptor Grammars: A framework for specifying compositional nonparametric Bayesian models. In B. Schölkopf, J. Platt, and T. Hoffman, editors, Advances in Neural Information Processing Systems 19, pages 641-648.MIT Press, Cambridge, MA.
10. Aravind Joshi. 2003. Tree adjoining grammars. In Ruslan Mikkov, editor, The Oxford Handbook of Computational Linguistics, pages 483-501. Oxford University Press, Oxford, England.
11. Percy Liang, Slav Petrov, Michael Jordan, and Dan Klein. 2007. The infinite PCFG using hierarchical Dirichlet processes. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 688-697.
12. Brian MacWhinney and Catherine Snow. 1985. The child language data exchange system. Journal of Child Language, 12:271-296.
13. Karin Müller. 2001. Automatic detection of syllable boundaries combining the advantages of treebank and bracketed corpora training. In Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics.
14. Karin Müller. 2002. Probabilistic context-free grammars for phonology. In Proceedings of the 6th Workshop of the ACL Special Interest Group in Computational Phonology (SIGPHON), pages 70-80, Philadelphia.
15. Andreas Stolcke. 1994. Bayesian Learning of Probabilistic Language Models. Ph.D. thesis, University of California, Berkeley.
16. Y. W. Teh, M. Jordan, M. Beal, and D. Blei. 2006. Hierarchical Dirichlet processes. Journal of the American Statistical Association, 101:1566-1581.
17. Yee Whye Teh, Kenichi Kurihara, and Max Welling. 2008. Collapsed variational inference for hdp. In J.C. Platt, D. Koller, Y. Singer, and S. Roweis, editors, Advances in Neural Information Processing Systems 20. MIT Press, Cambridge, MA.