Dependency grammar induction via bitext projection constraints

ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.

Volumn , Issue , 2009, Pages 369-377

  Ganchev, Kuzman ^a   Gillenwater, Jennifer ^a   Taskar, Ben ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GRAMMARS; FORESTRY; LINGUISTICS;

DEPENDENCY GRAMMAR; DISCRIMINATIVE MODELS; GRAMMAR INDUCTION; LIMITED TRAINING DATA; PARALLEL TEXT; SOURCE LANGUAGE; TARGET TREES; UNSUPERVISED METHOD;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84859900250     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1687878.1687931     Document Type: Conference Paper

References (36)

1. A. Abeillé. 2003. Treebanks: Building and Using Parsed Corpora. Springer.
2. H. Alshawi, S. Bangalore, and S. Douglas. 2000. Learning dependency translation models as collections of finite state head transducers. Computational Linguistics, 26(1).
3. J. Atserias, B. Casas, E. Comelles, M. González, L. Padró, and M. Padró. 2006. Freeling 1.3: Syntactic and semantic services in an open-source nlp library. In Proc. LREC, Genoa, Italy.
4. P. F. Brown, S. Della Pietra, V. J. Della Pietra, and R. L. Mercer. 1994. The mathematics of statistical machine translation: Parameter estimation. Computational Linguistics, 19(2):263-311.
5. C. Chelba, D. Engle, F. Jelinek, V. Jimenez, S. Khudanpur, L. Mangu, H. Printz, E. Ristad, R. Rosenfeld, A. Stolcke, and D. Wu. 1997. Structure and performance of a dependency language model. In Proc. Eurospeech.
6. M. Collins. 1999. Head-Driven Statistical Models for Natural Language Parsing. Ph.D. thesis, University of Pennsylvania.
7. G. Druck, G. Mann, and A. McCallum. 2009. Semisupervised learning of dependency parsers using generalized expectation criteria. In Proc. ACL.
8. J. Eisner. 1996. Three new probabilistic models for dependency parsing: an exploration. In Proc. CoLing.
9. H. Fox. 2002. Phrasal cohesion and statistical machine translation. In Proc. EMNLP, pages 304-311.
10. K. Ganchev, J. Graca, J. Blitzer, and B. Taskar. 2008. Multi-view learning over structured and nonidentical outputs. In Proc. UAI.
11. J. Graça, K. Ganchev, and B. Taskar. 2008. Expectation maximization and posterior constraints. In Proc. NIPS.
12. J. Graça, K. Ganchev, and B. Taskar. 2009. Postcat - posterior constrained alignment toolkit. In The Third Machine Translation Marathon.
13. A. Haghighi, A. Ng, and C. Manning. 2005. Robust textual inference via graph matching. In Proc. EMNLP.
14. R. Hwa, P. Resnik, A. Weinberg, C. Cabezas, and O. Kolak. 2005. Bootstrapping parsers via syntactic projection across parallel texts. Natural Language Engineering, 11:11-311.
15. D. Klein and C. Manning. 2004. Corpus-based induction of syntactic structure: Models of dependency and constituency. In Proc. of ACL.
16. P. Koehn. 2005. Europarl: A parallel corpus for statistical machine translation. In MT Summit.
17. S. Lee and K. Choi. 1997. Reestimation and bestfirst parsing algorithm for probabilistic dependency grammar. In In WVLC-5, pages 41-55.
18. G. Mann and A. McCallum. 2007. Simple, robust, scalable semi-supervised learning via expectation regularization. In Proc. ICML.
19. G. Mann and A. McCallum. 2008. Generalized expectation criteria for semi-supervised learning of conditional random fields. In Proc. ACL, pages 870 - 878.
20. R. McDonald, K. Crammer, and F. Pereira. 2005. Online large-margin training of dependency parsers. In Proc. ACL, pages 91-98.
21. I. Mel'čuk. 1988. Dependency syntax: theory and practice. SUNY. inci.
22. P. Merlo, S. Stevenson, V. Tsang, and G. Allaria. 2002. A multilingual paradigm for automatic verb classification. In Proc. ACL.
23. R. M. Neal and G. E. Hinton. 1998. A new view of the EM algorithm that justifies incremental, sparse and other variants. In M. I. Jordan, editor, Learning in Graphical Models, pages 355-368. Kluwer.
24. J. Nivre and J. Nilsson. 2005. Pseudo-projective dependency parsing. In Proc. ACL.
25. J. Nivre, J. Hall, S. Kübler, R. McDonald, J. Nilsson, S. Riedel, and D. Yuret. 2007. The CoNLL 2007 shared task on dependency parsing. In Proc. EMNLP-CoNLL.
26. F. J. Och and H. Ney. 2000. Improved statistical alignment models. In Proc. ACL.
27. C. Quirk, A. Menezes, and C. Cherry. 2005. Dependency treelet translation: syntactically informed phrasal smt. In Proc. ACL.
28. L. Shen, J. Xu, and R. Weischedel. 2008. A new string-to-dependency machine translation algorithm with a target dependency language model. In Proc. of ACL.
29. N. Smith and J. Eisner. 2006. Annealing structural bias in multilingual weighted grammar induction. In Proc. ACL.
30. J. Tiedemann. 2007. Building a multilingual parallel subtitle corpus. In Proc. CLIN.
31. K. Toutanova, D. Klein, C. Manning, and Y. Singer. 2003. Feature-rich part-of-speech tagging with a cyclic dependency network. In Proc. HLT-NAACL.
32. Y. Tsuruoka and J. Tsujii. 2005. Bidirectional inference with the easiest-first strategy for tagging sequence data. In Proc. HLT/EMNLP.
33. H. Yamada and Y. Matsumoto. 2003a. Statistical dependency analysis with support vector machines. In Proc. IWPT, pages 195-206.
34. H. Yamada and Y. Matsumoto. 2003b. Statistical dependency analysis with support vector machines. In Proc. IWPT.
35. D. Yarowsky and G. Ngai. 2001. Inducing multilingual pos taggers and np bracketers via robust projection across aligned corpora. In Proc. NAACL.
36. D. Yarowsky, G. Ngai, and R. Wicentowski. 2001. Inducing multilingual text analysis tools via robust projection across aligned corpora. In Proc. HLT.