Working for Two: A Bidirectional Grammar for a Controlled Natural Language

  • Rolf Schwitter
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5360)

Abstract

This paper introduces the controlled natural language PENG Light together with a language processor that is based on a bidirectional grammar. The language processor has the following interesting properties: (a) it translates declarative sentences written in PENG Light into a first-order logic notation (TPTP); (b) it generates declarative sentences in PENG Light taking syntactically annotated TPTP formulas as input; and (c) it translates questions written in PENG Light into (conjunctive) queries in TPTP notation and uses the TPTP representation of the query as a starting point for generating answers in PENG Light. Moreover, the controlled natural language processor can be interfaced directly with an automated reasoner in order to resolve anaphoric references and to answer questions stated in PENG Light.

Keywords

Controlled Natural Languages Grammar Engineering Human-Computer Interfaces Knowledge Representation Question Answering 
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References

  1. 1.
    Kittredge, R.I.: Sublanguages and controlled languages. In: Mitkov (ed.) The Oxford Handbook of Computational Linguistics, pp. 430–447. Oxford University Press, Oxford (2003)Google Scholar
  2. 2.
    Fuchs, N.E., Schwertel, U., Schwitter, R.: Attempto Controlled English – not just another logic specification language. In: Flener, P. (ed.) LOPSTR 1998. LNCS, vol. 1559, pp. 1–20. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  3. 3.
    Fuchs, N.E., Kaljurand, K., Kuhn, T.: Attempto Controlled English for Knowledge Representation. In: Baroglio, C., Bonatti, P.A., Małuszyński, J., Marchiori, M., Polleres, A., Schaffert, S. (eds.) Reasoning Web. LNCS, vol. 5224, pp. 104–124. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  4. 4.
    Clark, P., Harrison, P., Jenkins, T., Thompson, T., Wojcik, R.: Acquiring and Using World Knowledge Using a Restricted Subset of English. In: Proceedings of FLAIRS 2005, pp. 506–511 (2005)Google Scholar
  5. 5.
    Clark, P., Harrison, P., Thompson, J., Wojcik, R., Jenkins, T., Israel, D.: Reading to Learn: An Investigation into Language Understanding. In: Proceedings of AAAI 2007 Spring Symposium on Machine Reading, pp. 29–35 (2007)Google Scholar
  6. 6.
    Sowa, J.F.: Common Logic Controlled English. Draft (February 24, 2004) (2004), http://www.jfsowa.com/clce/specs.htm
  7. 7.
    Sowa, J.F.: Common Logic Controlled English. Draft (March 15, 2007) (2007), http://www.jfsowa.com/clce/clce07.htm
  8. 8.
    Schwitter, R.: English as a Formal Specification Language. In: Proceedings of DEXA 2002, Aix-en-Provence, France, September 2-6, 2002, pp. 228–232 (2002)Google Scholar
  9. 9.
    Schwitter, R., Tilbrook, M.: Meaningful Web Annotations for Humans and Machines using Controlled Natural Language. Expert Systems 25(3), 253–267 (2008)CrossRefGoogle Scholar
  10. 10.
    Schwitter, R., Ljungberg, A., Hood, D.: ECOLE – A Look-ahead Editor for a Controlled Language. In: Proceedings of EAMT-CLAW 2003, Dublin City University, Ireland, May 15-17, pp. 141–150 (2003)Google Scholar
  11. 11.
    ASD STMG: ASD Simplified Technical English. Specification ASD-STE100, International specification for the preparation of maintenance documentation in a controlled language, Issue 4 (January 2007)Google Scholar
  12. 12.
    Thompson, C.W., Pazandak, P., Tennant, H.R.: Talk to Your Semantic Web. IEEE Internet Computing 9(6), 75–79 (2005)CrossRefGoogle Scholar
  13. 13.
    Kamp, H., Reyle, U.: From Discourse to Logic. In: Introduction to Modeltheoretic Semantics of Natural Language, Formal Logic and Discourse Representation Theory. Kluwer, Dordrecht (1993)Google Scholar
  14. 14.
    Pereira, F.C.N., Shieber, S.M.: Prolog and Natural-Language Analysis, CSLI Lecture Notes, Number 10 (1987)Google Scholar
  15. 15.
    Sutcliffe, G., Suttner, C.B.: The TPTP Problem Library: CNF Release v1.2.1. Journal of Automated Reasoning 21(2), 177–203 (1998)MathSciNetCrossRefMATHGoogle Scholar
  16. 16.
    Patel-Schneider, P.F., Swartout, B.: Description-Logic Knowledge Representation System Specification from the KRSS Group of the ARPA Knowledge Sharing Effort, November 1 (1993)Google Scholar
  17. 17.
    Haarslev, V., Möller, R.: Racer: A Core Inference Engine for the Semantic Web. In: Proceedings of EON 2003, pp. 27–36 (2003)Google Scholar
  18. 18.
    Racer Systems: RacerPro User’s Guide, Version 1.9.2, Technical report (2007), http://www.racersystems.com
  19. 19.
    Parsons, T.: Events in the Semantics of English: A Study in Subatomic Semantics. MIT Press, Cambridge (1994)Google Scholar
  20. 20.
    Noy, N., Rector, A.: Defining N-ary Relations on the Semantic Web, W3C Working Group Note (April 12, 2006) (2006), http://www.w3.org/TR/swbp-n-aryRelations/

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Rolf Schwitter
    • 1
  1. 1.Centre for Language TechnologyMacquarie UniversitySydneyAustralia

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