Memory-based learning of morphology with stochastic transducers

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn 2002-July, Issue , 2002, Pages 513-520

  Clark, Alexander ^a  

^a UNIVERSITY OF GENEVA   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; MAXIMUM PRINCIPLE; MORPHOLOGY; STOCHASTIC SYSTEMS;

DATA SET; EXPECTATIONS MAXIMIZATION ALGORITHMS; FISHER KERNELS; KERNEL-METHODS; LEARNING TECHNIQUES; MEMORY-BASED LEARNING; SIMILARITY MEASURE; STOCHASTICS;

TRANSDUCERS;

EID: 22344449241     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. L. Allison, C. S. Wallace, and C. N. Yee. 1992. Finitestate models in the alignment of macro-molecules. Journal of Molecular Evolution, 35:77-89.
2. L. E. Baum and T. Petrie. 1966. Statistical inference for probabilistic functions of finite state markov chains. Annals of Mathematical Statistics, 37:1559-1663.
3. Francisco Casacuberta and Colin de la Higuera. 2000. Computational complexity of problems on probabilistic grammars and transducers. In Arlindo L. Oliveira, editor, Grammatical Inference: Algorithms and Applications, pages 15-24. Springer Verlag.
4. F. Casacuberta. 1995. Probabilistic estimation of stochastic regular syntax-directed translation schemes. In Proceedings of the VIth Spanish Symposium on Pattern Recognition and Image Analysis, pages 201-207.
5. Alexander Clark. 2001a. Learning morphology with Pair Hidden Markov Models. In Proc. of the Student Workshop at the 39th Annual Meeting of the Association for Computational Linguistics, pages 55-60, Toulouse, France, July.
6. Alexander Clark. 2001b. Partially supervised learning of morphology with stochastic transducers. In Proc. of Natural Language Processing Pacific Rim Symposium, NLPRS 2001, pages 341-348, Tokyo, Japan, November.
7. R. Durbin, S. Eddy, A. Krogh, and G. Mitchison. 1998. Biological Sequence Analysis: Probabilistic Models of proteins and nucleic acids. Cambridge University Press.
8. Alon Itai. 1994. Learning morphology - practice makes good. In R. C. Carrasco and J. Oncina, editors, Grammatical Inference and Applications: ICGI-94, pages 5-15. Springer-Verlag.
9. T. S. Jaakkola and D. Haussler. 1998. Exploiting generative models in discriminative classifiers. In Proc. of Tenth Conference on Advances in Neural Information Processing Systems.
10. T. S. Jaakkola, M. Diekhans, and D. Haussler. 2000. A discriminative framework for detecting remote protein homologies. Journal of Computational Biology, 7(1,2):95-114.
11. Jun'ichi Kazama, Yusuke Miyao, and Jun'ichi Tsujii. 2001. A maximum entropy tagger with unsupervised hidden markov models. In Proc. of Natural Language Processing Pacific Rim Symposium (NLPRS 2001), pages 333-340, Tokyo, Japan.
12. George Kiraz. 1994. Multi-tape two-level morphology. In COLING-94, pages 180-186.
13. Klaus-Michael Köpcke. 1988. Schemas in German plural formation. Lingua, 74:303-335.
14. Kimmo Koskenniemi. 1983. A Two-level Morphological Processor. Ph.D. thesis, University of Helsinki.
15. Charles X. Ling. 1994. Learning the past tense of English verbs: The symbolic pattern associator vs. connectionist models. Journal of Artifical Intelligence Research, 1:209-229.
16. S. Manandhar, S. Dzeroski, and T. Erjavec. 1998. Learning multi-lingual morphology with CLOG. In C. D.
17. Page, editor, Proc. of the 8th International Workshop on Inductive Logic Programming (ILP-98). Springer Verlag.
18. J. McCarthy and A. Prince. 1990. Foot and word in prosodic morphology: The Arabic broken plural. Natural Language and Linguistic Theory, 8:209-284.
19. Raymond J. Mooney and Mary Elaine Califf. 1995. Induction of first-order decision lists: Results on learning the past tense of English verbs. Journal of Artificial Intelligence Research, 3:1-24.
20. Kim Plunkett and Ramin Charles Nakisa. 1997. A connectionist model of the Arabic plural system. Language and Cognitive Processes, 12(5/6):807-836.
21. Sandeep Prasada and Steven Pinker. 1993. Generalisation of regular and irregular morphological patterns. Language and Cognitive Processes, 8(1):1-56.
22. Eric Sven Ristad. 1997. Finite growth models. Technical Report CS-TR-533-96, Department of Computer Science, Princeton University. revised in 1997.
23. Antal van den Bosch and Walter Daelemans. 1999. Memory-based morphological analysis. In Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics, pages 285-292.
24. Antal van den Bosch. 2000. Using induced rules as complex features in memory-based language learning. In Proceedings of CoNLL 2000, pages 73-78.