• DocumentCode
    538061
  • Title

    SyMGiza++: A tool for parallel computation of symmetrized word alignment models

  • Author

    Junczys-Dowmunt, M. ; Szal, A.

  • Author_Institution
    Fac. of Math. & Comput. Sci., Adam Mickiewicz Univ., Poznan, Poland
  • fYear
    2010
  • fDate
    18-20 Oct. 2010
  • Firstpage
    397
  • Lastpage
    401
  • Abstract
    SyMGiza++ - a tool that computes symmetric word alignment models with the capability to take advantage of multi-processor systems - is presented. A series of fairly simple modifications to the original IBM/Giza++ word alignment models allows to update the symmetrized models between each iteration of the original training algorithms. We achieve a relative alignment quality improvement of more than 17% compared to Giza++ and MGiza++ on the standard Canadian Hansards task, while maintaining the speed improvements provided by MGiza++´s capability of parallel computations.
  • Keywords
    multiprocessing systems; parallel algorithms; software tools; SyMGiza++; multiprocessor system; parallel computation; symmetric word alignment model; symmetrized word alignment model; training algorithm; Computational modeling; Data models; Hidden Markov models; Mathematical model; Solid modeling; Training; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (IMCSIT), Proceedings of the 2010 International Multiconference on
  • Conference_Location
    Wisla
  • ISSN
    2157-5525
  • Print_ISBN
    978-1-4244-6432-6
  • Type

    conf

  • DOI
    10.1109/IMCSIT.2010.5679866
  • Filename
    5679866