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Two Models of Learning Iterated Dependencies

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Formal Grammar (FG 2010, FG 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7395))

Abstract

We study the learnability problem in the family of Categorial Dependency Grammars (CDG), a class of categorial grammars defining unlimited dependency structures. CDG satisfying a reasonable condition on iterated (i.e., repeatable and optional) dependencies are shown to be incrementally learnable in the limit.

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References

  1. Angluin, D.: Inductive inference of formal languages from positive data. Information and Control 45, 117–135 (1980)

    Article  MathSciNet  MATH  Google Scholar 

  2. Béchet, D., Dikovsky, A., Foret, A.: Dependency Structure Grammars. In: Blache, P., Stabler, E.P., Busquets, J.V., Moot, R. (eds.) LACL 2005. LNCS (LNAI), vol. 3492, pp. 18–34. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  3. Béchet, D., Dikovsky, A., Foret, A., Moreau, E.: On learning discontinuous dependencies from positive data. In: Proc. of the 9th Intern. Conf. “Formal Grammar 2004” (FG 2004), Nancy, France, pp. 1–16 (August 2004)

    Google Scholar 

  4. Buszkowski, W., Penn, G.: Categorial grammars determined from linguistic data by unification. Studia Logica 49, 431–454 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  5. Dekhtyar, M., Dikovsky, A.: Categorial dependency grammars. In: Proc. of Intern. Conf. on Categorial Grammars, Montpellier, pp. 76–91 (2004)

    Google Scholar 

  6. Dekhtyar, M., Dikovsky, A.: Generalized Categorial Dependency Grammars. In: Avron, A., Dershowitz, N., Rabinovich, A. (eds.) Pillars of Computer Science. LNCS, vol. 4800, pp. 230–255. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  7. Dikovsky, A.: Dependencies as categories. In: Recent Advances in Dependency Grammars (COLING 2004) Workshop, pp. 90–97 (2004)

    Google Scholar 

  8. Gold, E.M.: Language identification in the limit. Information and Control 10, 447–474 (1967)

    Article  MATH  Google Scholar 

  9. Joshi, A.K., Shanker, V.K., Weir, D.J.: The convergence of mildly context-sensitive grammar formalisms. In: Foundational Issues in Natural Language Processing, Cambridge, MA, pp. 31–81 (1991)

    Google Scholar 

  10. Kanazawa, M.: Learnable classes of categorial grammars. Studies in Logic, Language and Information. FoLLI & CSLI (1998)

    Google Scholar 

  11. Mel’čuk, I.: Dependency Syntax. SUNY Press, Albany (1988)

    Google Scholar 

  12. Motoki, T., Shinohara, T., Wright, K.: The correct definition of finite elasticity: Corrigendum to identification of unions. In: The fourth Annual Workshop on Computational Learning Theory, San Mateo, Calif, p. 375 (1991)

    Google Scholar 

  13. Shanker, V.K., Weir, D.J.: The equivalence of four extensions of context-free grammars. Mathematical Systems Theory 27, 511–545 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  14. Shinohara, T.: Inductive inference of monotonic formal systems from positive data. New Generation Computing 8(4), 371–384 (1991)

    Article  MATH  Google Scholar 

  15. Wright, K.: Identifications of unions of languages drawn from an identifiable class. In: The 1989 Workshop on Computational Learning Theory, San Mateo, Calif, pp. 328–333 (1989)

    Google Scholar 

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Béchet, D., Dikovsky, A., Foret, A. (2012). Two Models of Learning Iterated Dependencies. In: de Groote, P., Nederhof, MJ. (eds) Formal Grammar. FG FG 2010 2011. Lecture Notes in Computer Science, vol 7395. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32024-8_2

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  • DOI: https://doi.org/10.1007/978-3-642-32024-8_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32023-1

  • Online ISBN: 978-3-642-32024-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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