Dynamic Computational Networks

 

Download this software: click here. (There's a chance you will be told that you need to download comdlg32.dll: to do so, click here and save the file in your Windows folder.)

Check out Max Bane's extremely cool website on DCNs.

 

Some relevant literature

  1. John Goldsmith and Gary Larson. 1990. Local modeling and syllabification. Papers from the 26th Annual Meeting of the Chicago Linguistic Society: Parasession on the syllable in phonetics and phonology.
  2. Gary Larson. 1990. Local computational networks and the distribution of segments in the Spanish syllable. Papers from the 26th Annual Meeting of the Chicago Linguistic Society: Parasession on the syllable in phonetics and phonology.
  3. John Goldsmith. 1992. Local Modeling in Phonology.  In Connectionism: Theory and Practice edited by Steven Davis, pp. 229-246. Oxford: Oxford University Press.
  4. John Goldsmith and Gary Larson. 1993. Using Networks in a Harmonic Phonology.With Gary Larson. In Papers from the 28th Annual Meeting of the Chicago Linguistic Society, vol. 2, pp. 94-125, edited by Costas Canakis, Grace Chan, and Jeannette Denton. Chicago: Chicago Linguistics Society.
  5. Gary Larson. 1993. Dyamic computational models and the representation of phonological information. PhD dissertation, University of Chicago. Part 1. Part 2.
  6. Alan Prince. 1993. In defense of the number i: Anatomy of a linear dynamical model of linguistic generalizations. RuCCS TR-1.
  7. John Goldsmith. 1994. A Dynamic Computational Theory of Accent Systems. In Perspectives in Phonology, edited by Jennifer Cole and Charles Kisseberth, pp. 1-28. Stanford: Center for the Study of Language and Information.
  8. Alan Prince. 1996. Gradient ascent in a linear inhibitory network. RuCCS-TR-31, Rutgers Center for Cognitive Science.
  9. Marc Klein. 1993. La syllabe comme interface de la production et de la perception phoniques. In De Natura Sonorum: essais de phonologie, edited by Bernard Laks and Marc Plénat.
  10. Atanas Tchobanov. 2003. Representations et apprentissage des primitives phonologiques: approche neuromimetique. Thèse de doctorat, Université de Paris X.
    Chap 1 Théorie linguistique et modélisation de l'apprentissage: arguments pour une approche connexionniste.
    Chap 2: Quelques notions de base du connexionnisme
    Chap 3: Modèles connexionnistes de la phonologie metrique.

Powerpoint slides April 2005. Pdf version.