A Hybrid Approach to Improve Bilingual Multiword Expression Extraction

  • Jianyong Duan
  • Mei Zhang
  • Lijing Tong
  • Feng Guo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5476)

Abstract

We propose a hybrid approach for bilingual multiword expression extraction. There are two phases in the extraction process. In the first phase, lots of candidates are extracted from the corpus by statistic methods. The algorithm of multiple sequence alignment is sensitive to the flexible multiword. In the second phase, error-driven rules and patterns are extracted from corpus. These trained rules are used to filter the candidates. Some related experiments are designed for achieving the best performance because there are lots of parameters in this system. Experimental results showed our approach gains good performance.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jianyong Duan
    • 1
  • Mei Zhang
    • 2
  • Lijing Tong
    • 1
  • Feng Guo
    • 1
  1. 1.College of Information EngineeringIndia
  2. 2.College of Art DesignNorth China University of TechnologyBeijingP.R. China

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