An IR-Based Strategy for Supporting Chinese-Portuguese Translation Services in Off-line Mode

  • Jordi Centelles
  • Marta Ruiz Costa-jussà
  • Rafael E. Banchs
  • Alexander Gelbukh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8404)

Abstract

This paper describes an Information Retrieval engine that is used to support our Chinese-Portuguese machine translation services when no internet connection is available. Our mobile translation app, which is deployed on a portable device, relies by default on a server-based machine translation service, which is not accessible when no internet connection is available. For providing translation support under this condition, we have developed a contextualized off-line search engine that allows the users to continue using the app.

Keywords

machine translation translation aid Chinese Portuguese 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Brown, P.F., Della Pietra, S.A., Della Pietra, V.J., Mercer, R.L.: The mathematics of statistical machine translation: parameter estimation. Computational Linguistics 19(2), 263–311 (1993)Google Scholar
  2. 2.
    Centelles, J., Costa-Jussà, M.R., Banchs, R.E.: CHISPA on the GO A mobile Chinese-Spanish translation service for travelers in trouble. Accepted for Publication at the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2014) Demo Track (2014)Google Scholar
  3. 3.
    Koehn, P., Och, F.J., Marcu, D.: Statistical phrase-based translation. In: Proc. of HLT/NAACL 2003, pp. 127–133 (2003)Google Scholar
  4. 4.
    Koehn, P., Hoang, H., Birch, A., Callison-Burch, C., Federico, M., Bertoldi, N., Cowan, B., Shen, W., Moran, C., Zens, R., Dyer, C., Bojar, O., Constantin, A., Herbst, E.: Moses: Open source toolkit for statistical machine translation. In: Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL 2007), Prague, Czech Republic, pp. 177–180 (June 2007)Google Scholar
  5. 5.
    Tseng, H., Chang, P., Andrew, G., Jurafsky, D., Manning, C.: A conditional random field word segmenter. In: Fourth SIGHAN Workshop on Chinese Language Processing (2005)Google Scholar
  6. 6.
    Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval. Information Processing and Management 24(5), 513–523 (1988)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Jordi Centelles
    • 1
  • Marta Ruiz Costa-jussà
    • 1
  • Rafael E. Banchs
    • 1
  • Alexander Gelbukh
    • 2
  1. 1.Institute for Infocomm ResearchSingapore
  2. 2.Centro de Investigación en ComputaciónInstituto Politécnico NacionalMexico

Personalised recommendations