Computational Linguistic Motivations for a Finite-State Machine Hierarchy

  • Robert Kelly
  • Julie Carson-Berndsen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2759)


Given the prominence of finite-state techniques in natural language processing, toolkits are required that can provide finite-state capability for applications in this domain. For example, work in the context of Multi-Agent Speech Recognition requires such finite-state capability. In particular, an interface is required both for processing finite-state representations and for automatically acquiring such representations. The finite-state representations are the traditional finite-state machines together with their stochastic equivalents. The representations are specified in XML which is chosen both for clarity and for reusability and portability across different platforms and applications. Motivated by these requirements this paper presents a Finite-State Machine Hierarchy. The hierarchy is an extendible object-oriented inheritance tree where each class in the hierarchy represents a particular finite-state machine. The hierarchy has been used to deliver the required interfaces with support for XML marked up machine structures.


Natural Language Processing Input Event Machine Structure Stochastic Transition Human Language Technology 
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 2003

Authors and Affiliations

  • Robert Kelly
    • 1
  • Julie Carson-Berndsen
    • 1
  1. 1.Department of Computer ScienceUniversity College DublinDublin

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