Phylogenetic grammar induction

ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

Volumn , Issue , 2010, Pages 1288-1297

  Berg Kirkpatrick, Taylor ^a   Klein, Dan ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR REDUCTION; GRAMMAR INDUCTION; MULTILINGUAL APPROACH; PARAMETER LEVELS;

BIOLOGY;

COMPUTATIONAL GRAMMARS;

EID: 84860012543     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. T. Berg-Kirkpatrick, A. Bouchard-Côté, J. DeNero, and D. Klein. 2010. Painless unsupervised learning with features. In North American Chapter of the Association for Computational Linguistics.
2. D. M. Bikel and D. Chiang. 2000. Two statistical parsing models applied to the Chinese treebank. In Second Chinese Language Processing Workshop.
3. A. Bouchard-Côté, P. Liang, D. Klein, and T. L. Griffiths. 2007. A probabilistic approach to diachronic phonology. In Empirical Methods in Natural Language Processing.
4. S. Buchholz and E. Marsi. 2006. Computational Natural Language Learning-X shared task on multilingual dependency parsing. In Conference on Computational Natural Language Learning.
5. D. Burkett and D. Klein. 2008. Two languages are better than one (for syntactic parsing). In Empirical Methods in Natural Language Processing.
6. S. B. Cohen and N. A. Smith. 2009. Shared logistic normal distributions for soft parameter tying in unsupervised grammar induction. In North American Chapter of the Association for Computational Linguistics.
7. M. Collins. 1999. Head-driven statistical models for natural language parsing. In Ph.D. thesis, University of Pennsylvania, Philadelphia.
8. H. Daumé III. 2007. Frustratingly easy domain adaptation. In Association for Computational Linguistics.
9. J. Eisner. 2002. Parameter estimation for probabilistic finite-state transducers. In Association for Computational Linguistics.
10. J. R. Finkel and C. D. Manning. 2009. Hierarchical bayesian domain adaptation. In North American Chapter of the Association for Computational Linguistics.
11. D. Klein and C. D. Manning. 2004. Corpus-based induction of syntactic structure: Models of dependency and constituency. In Association for Computational Linguistics.
12. J. Kuhn. 2004. Experiments in parallel-text based grammar induction. In Association for Computational Linguistics.
13. G. Kuzman, J. Gillenwater, and B. Taskar. 2009. Dependency grammar induction via bitext projection constraints. In Association for Computational Linguistics/ International Joint Conference on Natural Language Processing.
14. P. Liang, D. Klein, and M. I. Jordan. 2008. Agreement-based learning. In Advances in Neural Information Processing Systems.
15. D. C. Liu, J. Nocedal, and C. Dong. 1989. On the limited memory BFGS method for large scale optimization. Mathematical Programming.
16. M. P. Marcus, M. A. Marcinkiewicz, and B. Santorini. 1993. Building a large annotated corpus of English: the penn treebank. Computational Linguistics.
17. R. Salakhutdinov, S. Roweis, and Z. Ghahramani. 2003. Optimization with EM and expectationconjugate-gradient. In International Conference on Machine Learning.
18. D. A. Smith and J. Eisner. 2009. Parser adaptation and projection with quasi-synchronous grammar features. In Empirical Methods in Natural Language Processing.
19. B. Snyder, T. Naseem, and R. Barzilay. 2009a. Unsupervised multilingual grammar induction. In Association for Computational Linguistics/International Joint Conference on Natural Language Processing.
20. B. Snyder, T. Naseem, J. Eisenstein, and R. Barzilay. 2009b. Adding more languages improves unsupervised multilingual part-of-speech tagging: A Bayesian non-parametric approach. In North American Chapter of the Association for Computational Linguistics.
21. N. Xue, F-D Chiou, and M. Palmer. 2002. Building a large-scale annotated Chinese corpus. In International Conference on Computational Linguistics.