When to Cross Over? Cross-Language Linking Using Wikipedia for VideoCLEF 2009

  • Ágnes Gyarmati
  • Gareth J. F. Jones
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6242)


We describe Dublin City University (DCU)’s participation in the VideoCLEF 2009 Linking Task. Two approaches were implemented using the Lemur information retrieval toolkit. Both approaches first extracted a search query from the transcriptions of the Dutch TV broadcasts. One method first performed search on a Dutch Wikipedia archive, then followed links to corresponding pages in the English Wikipedia. The other method first translated the extracted query using machine translation and then searched the English Wikipedia collection directly. We found that using the original Dutch transcription query for searching the Dutch Wikipedia yielded better results.


Machine Translation Automate Speech Recognition Primary Link Mean Reciprocal Rank Secondary Link 
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 2010

Authors and Affiliations

  • Ágnes Gyarmati
    • 1
  • Gareth J. F. Jones
    • 1
  1. 1.Centre for Digital Video ProcessingDublin City UniversityDublin 9Ireland

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