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PAN@FIRE: Overview of the Cross-Language !ndian Text Re-Use Detection Competition

  • Alberto Barròn-Cedeño
  • Paolo Rosso
  • Sobha Lalitha Devi
  • Paul Clough
  • Mark Stevenson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7536)

Abstract

The development of models for automatic detection of text re-use and plagiarism across languages has received increasing attention in recent years. However, the lack of an evaluation framework composed of annotated datasets has caused these efforts to be isolated. In this paper we present the CL!TR 2011 corpus, the first manually created corpus for the analysis of cross-language text re-use between English and Hindi. The corpus was used during the Cross-Language !ndian Text Re-Use Detection Competition. Here we overview the approaches applied the contestants and evaluate their quality when detecting a re-used text together with its source.

Keywords

Source Text Source Document Statistical Machine Translation Plagiarism Detection Exact Case 
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 2013

Authors and Affiliations

  • Alberto Barròn-Cedeño
    • 1
  • Paolo Rosso
    • 2
  • Sobha Lalitha Devi
    • 3
  • Paul Clough
    • 4
  • Mark Stevenson
    • 4
  1. 1.LSIUniversitat Politècnica de CatalunyaSpain
  2. 2.NLE Lab-ELiRFUniversitat Politècnica de ValènciaSpain
  3. 3.AU-KBC Research CentreChennaiIndia
  4. 4.University of SheffieldUK

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