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A finite and real-time processor for natural language

Published:01 October 1989Publication History
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Abstract

People process natural language in real time and with very limited short-term memories. This article describes a computational architecture for syntactic performance that also requires fixed finite resources.

References

  1. 1 Barton, G., Berwick, R., and Ristad, E. Computational Complexity and Natural Language. MIT Press, Cambridge, Mass., 1987. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 2 Bever, T., Garrett, M., and Hartig. R. The interaction of perceptual processes and ambiguous sentences. Memory and Cognition 1, 3 (1973), 277-286.Google ScholarGoogle ScholarCross RefCross Ref
  3. 3 Blank, G. Responsive system control using register vector grammar. In Proceedings of the IEEE International Symposium on Intelligent Control (Philadelphia, Penn., Jan. 19-20, 1987), pp. 461-466.Google ScholarGoogle Scholar
  4. 4 Blank, G. Register vector grammar: A new kind of finite state automaton. In Proceedings of the Ninth International C~nference on Artificial Intelligence (UCLA, Aug. 18-23, 1985), pp. 749--756.Google ScholarGoogle Scholar
  5. 5 Bresnan, J., Kaplan, R., Peters, S., and Zaenan, A. Cross-serial dependencies in Dutch. Linguistic Inquiry I3, 4 (1982!, 613-635.Google ScholarGoogle Scholar
  6. 6 Carrithers, C., and Bever, T. Eye-fixation patterns during reading confirm theories of language comprehension. Cog. Sci. 8, 2 (1984), 157-172.Google ScholarGoogle Scholar
  7. 7 Chomsky, N. Syntactic structures. Mouton, The Hague, Netherlands, 1957.Google ScholarGoogle Scholar
  8. 8 Church, K. On memory limitations in natural language processing. IU Linguistics Club, Bloomington, Ind., 1982.Google ScholarGoogle Scholar
  9. 9 Cowper, E. Constraints on sentence complexity: A model for syntactic processing. Ph.D. dissertation, Brown University, 1976.Google ScholarGoogle Scholar
  10. 10 Earley, J. An efficient context-free algorithm. Commun. ACM 6, 8 (Aug. 1970}, 94-102, Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. 11 Frazier, L., and Fodor, J. The sausage machine: A new two-stage parsing model. Cognition 6, 4 (19781, 291-295.Google ScholarGoogle ScholarCross RefCross Ref
  12. 12 Garrett, M., and Bever, T, The perceptual segmen'Iation of sentences. In The Structure and Psychology of Language, T. Bever and W. Weksel, Eds. Holt, Rinehart & Winston, New York, 1970.Google ScholarGoogle Scholar
  13. 13 Gazdar, G., Klein, E., Pullum, G., and Sag, I. Generalized Phrase Structure Grammar. Harvard University Press, Cambridge, Mass., 1985.Google ScholarGoogle Scholar
  14. 14 Hale, K. On the position of Walpiri in a typology of the base. Indiana University Linguistics Club, Bloomington, Ind., 1981.Google ScholarGoogle Scholar
  15. 15 Kimball, J. Seven principles of surface structure parsing in natural language. Cognition 2, 1 (1973), 15-47.Google ScholarGoogle ScholarCross RefCross Ref
  16. 16 Kunst, A. Petri net automata and the representation of natural languages. Unpublished MS.Google ScholarGoogle Scholar
  17. 17 Kunst, A., and Blank, G. Processing morphology: Words and cliches. In Computing in the Humanities, R.W. Bailey, Ed. North-Holland, The Hague (1982}, 123-131.Google ScholarGoogle Scholar
  18. 18 Langendoen, D. Finite-state parsing of phrase-structure languages and the status of readjustment rules in grammar. Linguistic Inquiry 6, 4 {1975), 533-554.Google ScholarGoogle Scholar
  19. 19 Langendoen, D., and Langsam, Y. The representation of constituent structures for finite-state parsing. In Proceedings of 22nd Annual Meeting of the Association for Computational Linguistics. (Stanford, Calif., 1984), pp. 24-27. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. 20 Marcus, M. A theory of syntactic recognition for natural language. MIT Press, Cambridge, Mass., 1980.{ Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. 21 Martin, W., Church, K., and Patti, R. Preliminary analysis of a breadth-first parsing algorithm: Theoretical and experimental results, in Natural Language Parsing Systems. L. Bolc, Ed. Springer Verlag, Berlin, 1987. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. 22 Miller, G., and Chomsky, N. Finitary models of language users. In Handbook of Mathematical Psychology, R. D. Luce et al., Eds. Wiley, New York, 1963.Google ScholarGoogle Scholar
  23. 23 Milne, R. Resolving lexical ambiguity in a deterministic parser. Comp. Ling. 12, 1 l1986), 1-12. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. 24 Pullum, G, Syntactic and semantic parsability. In Proceedings of COLING84 (Stanford University, July 1984), pp. 112-122. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. 25 Reed, J. An efficient context-free parsing algorithm based on Register Vector Grammars. In Proceedings of the Third Annual IEEE Conference on Expert Systems in Government. (i987), pp. 34-40.Google ScholarGoogle Scholar
  26. 26 Reed, I. Compiling phrase structure rules into Register Vector Grammar. In Proceedings of the Fifth Annual IEEE Conference on AI Systems in Government. 0989).Google ScholarGoogle Scholar
  27. 27 Reich, P. The finiteness of natural language. Language 45, 4 (1969}, 831-43.Google ScholarGoogle ScholarCross RefCross Ref
  28. 28 Ross, J. Constraints on Variables in Syntax. Ph.D. dissertation, M{T, Cambridge, Mass., 1967.Google ScholarGoogle Scholar
  29. 29 Schegloff, E. The relevance of repair to syntax-for-conversation. In Syntax and Semantics, 12: Discourse and Syntax, Academic Press, New York, 1979, pp. 261-288.Google ScholarGoogle Scholar
  30. 30 Shieber, S. Direct parsing of ID/LP grammars. Ling. Phil. 7 {1984),Google ScholarGoogle Scholar
  31. 31 Seidenberg, M., Tanenhaus, M. Leiman, Jr., and Bienkowski, M. Automatic access of the meaning of ambiguous words in context: Some limitations of knowledge-based processing. Cog. Psy. 14, 4 (1982), 489-537.{Google ScholarGoogle Scholar
  32. 32 Tomita, M. Efficient Parsing for Natural Language. Kluwer Academic Publishers, Norwell, Mass., 1987. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. 33 Wanner, E. The ATN and the sausage machine: Which one is baloney? Cog. 8 (1980), 209-225.Google ScholarGoogle ScholarCross RefCross Ref
  34. 34 Woods, W. Transition network grammars for natural language analysis. Commun. ACM 13, 10 {Oct. 1970), 591-606. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. 35 Yngve, V. A model and an hypothesis for language structure. In Proceedings of the American Philosophical Society 104 (1960), 444-466.Google ScholarGoogle Scholar

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            cover image Communications of the ACM
            Communications of the ACM  Volume 32, Issue 10
            Oct. 1989
            101 pages
            ISSN:0001-0782
            EISSN:1557-7317
            DOI:10.1145/67933
            Issue’s Table of Contents

            Copyright © 1989 ACM

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            Publication History

            • Published: 1 October 1989

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