Skip to main content

Part of the book series: Cognitive Technologies ((COGTECH))

  • 2204 Accesses

Abstract

The grammatical concepts we have seen so far apply mostly to isolated words, phrases, or sentences. Texts and conversations, either full or partial, are out of their scope. Yet to us, human readers, writers, and speakers, language goes beyond the simple sentence. It is now time to describe models and processing techniques to deal with a succession of sentences. Although analyzing texts or conversations often requires syntactic and semantic treatments, it goes further. In this chapter, we shall make an excursion to the discourse side, that is, paragraphs, texts, and documents. In the next chapter, we shall consider dialogue, that is, a spoken or written interaction between a user and a machine.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

14.11 Further Reading

  • Boguraev, B. and Pustejovsky, J., editors (1996). Corpus Processing for Lexical Acquisition. MIT Press, Cambridge, Massachusetts.

    Google Scholar 

  • Corbett, E. P. J. and Connors, R. J. (1999). Classical Rhetoric for the Modern Student. Oxford University Press, New York, 4th edition.

    Google Scholar 

  • Coulthard, M. (1985). An Introduction to Discourse Analysis. Longman, Harlow, 2nd edition.

    Google Scholar 

  • Ducrot, O. and Schaeffer, J.-M., editors (1995). Nouveau dictionnaire encyclopédique des sciences du langage. Éditions du Seuil, Paris.

    Google Scholar 

  • Gagnon, M. and Lapalme, G. (1996). From conceptual time to linguistic time. Computational Linguistics, 22(1):91–127.

    Google Scholar 

  • Gosselin, L. (1996). Sémantique de la temporalité en français: un modèle calculatoire et cognitif du temps et de l’aspect. Duculot, Louvain-la-Neuve.

    Google Scholar 

  • Johansson, R., Berglund, A., Danielsson, M., and Nugues, P. (2005). Automatic text-to-scene conversion in the traffic accident domain. In IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, pages 1073–1078, Edinburgh.

    Google Scholar 

  • Kamp, H. and Reyle, U. (1993). From Discourse to Logic: Introduction to Modeltheoretic Semantics of Natural Language, Formal Logic and Discourse Representation Theory. Kluwer Academic Press, Dordrecht.

    Google Scholar 

  • Ng, V. and Cardie, C. (2002). Improvingmachine learning approaches to coreference resolution. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pages 104–111.

    Google Scholar 

  • Perelman, C. and Olbrechts-Tyteca, L. (1976). Traité de l’argumentation: la nouvelle rhétorique. Éditions de l’Université de Bruxelles, Brussels.

    Google Scholar 

  • Reboul, O. (1994). Introduction à la rhétorique: théorie et pratique. Presses universitaires de France, Paris, 2e edition.

    Google Scholar 

  • Reichenbach, H. (1947). Elements of Symbolic Logic. Macmillan, New York.

    Google Scholar 

  • Schiffrin, D. (1994). Approaches to Discourse. Number 8 in Blackwell Textbooks in Linguistics. Blackwell, Oxford.

    Google Scholar 

  • Simone, R. (1998). Fundamenti di linguistica. Laterza, Bari, 9e edition.

    Google Scholar 

  • Soon, W. M., Ng, H. T., and Lim, D. C. Y. (2001). A machine learning approach to coreference resolution of noun phrases. Computational Linguistics, 27(4):521–544.

    Article  Google Scholar 

  • Ter Meulen, A. (1995). Representing Time in Natural Language. The Dynamic Interpretation of Tense and Aspect. MIT Press, Cambridge, Massachusetts.

    Google Scholar 

  • Tesnière, L. (1966). Éléments de syntaxe structurale. Klincksieck, Paris, 2e edition.

    Google Scholar 

Download references

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

(2006). Discourse. In: An Introduction to Language Processing with Perl and Prolog. Cognitive Technologies. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-34336-9_14

Download citation

  • DOI: https://doi.org/10.1007/3-540-34336-9_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25031-9

  • Online ISBN: 978-3-540-34336-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics