Skip to main content
SpringerLink
Log in

Backpropagation networks for Grapheme-Phoneme conversion: A non-technical introduction

  • Chapter
  • First Online:
Artificial Neural Networks

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 931))

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

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • R. van Bezooijen (1989) Evaluation of the suitability of Dutch Text-to-Speech conversion for application in a spoken daily newspaper for the blind. Spinn/ASSP-Report 15, Institute of Phonetic Sciences, University of Amsterdam.

    Google Scholar 

  • L. Bloomfield (1933) Language. George Allen and Unwin Ltd. London.

    Google Scholar 

  • W. Daelemans (1985) GRAFON: a system for automatic grapheme to phoneme transliteration and phonological rule testing. Internal report, University of Nijmegen.

    Google Scholar 

  • W. Daelemans (1988) GRAFON-D: A grapheme-to-phoneme conversion system for Dutch. Proceedings Twelfth International Conference on Computational Linguistics (COLING-88). Budapest, 133–138.

    Google Scholar 

  • G. Dorffner (1989) Replacing symbolic rule systems with PDP networks. Netzsprech: a German example. Applied Artificial Intelligence, Vol. 3: 45–67.

    Google Scholar 

  • J.A. Fodor and Z.W. Pylyshyn (1988) Connectionism and cognitive architecture: A critical analysis, in: Cognition 28, 3–71.

    Article  PubMed  Google Scholar 

  • C. Hoppenbrouwers and G. Hoppenbrouwers (1993) Feature frequencies and the classification of Dutch dialects. Verhandlungen des Internationalen Dialektologenkongresses Bamberg 1990. Band 1. Wolfgang Viereck (ed.). Franz Steiner Verlag Stuttgart.

    Google Scholar 

  • IPA, International Phonetic Association (1949) The Principles of the International Phonetic Association. London, (repr. 1978).

    Google Scholar 

  • J. Kerkhoff, J. Wester and L. Boves (1984) A compiler for implementing the linguistic phase of a text-to-speech conversion system, in: H. Bennis and W.U.S. van Lessen Kloeke (eds.). Linguistics in the Netherlands. Foris Publications, Dordrecht.

    Google Scholar 

  • M. Minsky, and S. Papert (1969) Perceptrons. Cambridge, Mass, MIT-Press.

    Google Scholar 

  • D. Parker (1986) Comparison of algorithms for neuronlike cells, in: Denker (ed.). Neural Networks for Computing. AIP Proceedings 151, New York.

    Google Scholar 

  • S. Pinker and A. Prince (1988) On language and connectionism: Analysis of parallel distributed processing of language acquisition, in: Cognition 28, 73–193.

    Article  PubMed  Google Scholar 

  • L. Prechelt (1994) Probenl — a set of neural network benchmark problems and benchmarking rules. Technical report 21/94, Fakultät für Informatik, Universität Karlsruhe.

    Google Scholar 

  • G. Reve (1987) De Avonden, Een winterverhaal. (34-th edition). Bezige Bij. Amsterdam, originally published 1947.

    Google Scholar 

  • R.G. Reilley & N.E. Sharkey (1992) Connectionist Approaches to Natural Language Processing. Lawrence Erlbaum Associates, Hillsdale, N.J.

    Google Scholar 

  • C.R. Rosenberg (1987) Analysis of NETtalk's internal structure. Proceedings of the Ninth Annual Cognitive Science Conference. Seattle, WA.

    Google Scholar 

  • D. Rumelhart, G. Hinton and R. Williams (1986) Learning internal representations by error propagation. In: Rumelhart and McClelland (eds.). Parallel distributed Processing: Foundations. 1. MIT-Press, Cambridge, MA, 318–362.

    Google Scholar 

  • D.E. Rumelhart, J.L. McClelland and the PDP Research Group (eds.) (1986) Parallel Distributed Processing. MIT-Press, Cambridge, MA.

    Google Scholar 

  • T.J. Sejnowski and C.R. Rosenberg (1987) Parallel networks that learn to pronounce English text. Complex Systems, Vol. 1: 145–168.

    Google Scholar 

  • A.J.M.M. Weijters (1990) NETspraak: a grapheme-to-phoneme conversion network for Dutch. Proceedings of the IEEE symposium on neural networks. IEEE Student Branch, Delft: 59–68.

    Google Scholar 

  • R. Willemse (1987) Performance assessment of the dutch grapheme-to-phoneme module Esprit-project 860, Report nr. NU-GRPHASS-0509.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, University of Limburg, Maastricht

    A. J. M. M. Weijters

  2. Dutch State School of Translation and Interpreting, Maastricht

    G. A. J. Hoppenbrouwers

Authors
  1. A. J. M. M. Weijters
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. G. A. J. Hoppenbrouwers
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

P. J. Braspenning F. Thuijsman A. J. M. M. Weijters

Rights and permissions

Reprints and permissions

Copyright information

© 1995 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Weijters, A.J.M.M., Hoppenbrouwers, G.A.J. (1995). Backpropagation networks for Grapheme-Phoneme conversion: A non-technical introduction. In: Braspenning, P.J., Thuijsman, F., Weijters, A.J.M.M. (eds) Artificial Neural Networks. Lecture Notes in Computer Science, vol 931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0027021

Download citation

  • DOI: https://doi.org/10.1007/BFb0027021

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-59488-8

  • Online ISBN: 978-3-540-49283-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation