Cross-language multimedia information retrieval

  • Authors:
  • Sharon Flank

  • Affiliations:
  • eMotion, Inc., Vienna, VA

  • Venue:
  • ANLC '00 Proceedings of the sixth conference on Applied natural language processing
  • Year:
  • 2000

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Abstract

Simple measures can achieve high-accuracy cross-language retrieval in carefully chosen applications. Image retrieval is one of those applications, with results ranging from 68% of human translator performance for German, to 100% for French.