A Novel Implementation of the FITE-TRT Translation Method

  • Aki Loponen
  • Ari Pirkola
  • Kalervo Järvelin
  • Heikki Keskustalo
Conference paper

DOI: 10.1007/978-3-540-78646-7_15

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4956)
Cite this paper as:
Loponen A., Pirkola A., Järvelin K., Keskustalo H. (2008) A Novel Implementation of the FITE-TRT Translation Method. In: Macdonald C., Ounis I., Plachouras V., Ruthven I., White R.W. (eds) Advances in Information Retrieval. ECIR 2008. Lecture Notes in Computer Science, vol 4956. Springer, Berlin, Heidelberg

Abstract

Cross-language Information Retrieval requires good methods for translating cross-lingual spelling variants which are not covered by the available dictionary resources. FITE-TRT is an established method employing frequency-based identification of translation equivalents received from transformation rule based translation. This study further develops and evaluates the FITE-TRT method. The paper contributes on four areas. First, an efficient implementation for the FITE-TRT method is discussed. Secondly, a novel iterative FITE-TRT translation approach is developed in order to further improve the effectiveness of the method. Thirdly, the effectiveness of FITE-TRT is assessed in three classes of source-target word similarity. FITE-TRT was found to be very strong in the class of the most similar source and target words and only becomes unsuccessful when the words were dissimilar. Fourthly, in comparison to n-gram and s-gram matching methods, FITE-TRT is shown consistently stronger. All in all, FITE-TRT clearly outperforms the fuzzy string matching methods under comparable conditions. Therefore it is the method of choice for the identification of translation equivalents of cross-lingual spelling variants when the requirements for the result quality are high.

Keywords

Approximate string matching cross-language information retrieval cross-lingual spelling variants fuzzy matching out-of-vocabulary words transformation rules 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Aki Loponen
    • 1
  • Ari Pirkola
    • 1
  • Kalervo Järvelin
    • 1
  • Heikki Keskustalo
    • 1
  1. 1.Department of Information StudiesUniversity of TampereFinland

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