Strong Systematicity in Sentence Processing by an Echo State Network

  • Stefan L. Frank
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4131)


For neural networks to be considered as realistic models of human linguistic behavior, they must be able to display the level of systematicity that is present in language. This paper investigates the systematic capacities of a sentence-processing Echo State Network. The network is trained on sentences in which particular nouns occur only as subjects and others only as objects. It is then tested on novel sentences in which these roles are reversed. Results show that the network displays so-called strong systematicity.


Noun Phrase Relative Clause Sentence Processing Test Sentence Main Clause 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Stefan L. Frank
    • 1
  1. 1.Nijmegen Institute for Cognition and InformationRadboud University NijmegenNijmegenThe Netherlands

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