An open distributed architecture for reuse and integration of heterogeneous NLP components

  • Authors:
  • Rémi Zajac;Mark Casper;Nigel Sharples

  • Affiliations:
  • New-Mexico State University;New-Mexico State University;New-Mexico State University

  • Venue:
  • ANLC '97 Proceedings of the fifth conference on Applied natural language processing
  • Year:
  • 1997

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Abstract

The shift from Computational Linguistics to Language Engineering is indicative of new trends in NLP. This paper reviews two NLP engineering problems: reuse and integration, while relating these concerns to the larger context of applied NLP. It presents a software architecture which is geared to support the development of a variety of large-scale NLP applications: Information Retrieval, Corpus Processing, Multilingual MT, and integration of Speech Components.