Research & Innovation


View pages in this document

The ACCURAT project aims at researching methods and techniques to overcome one of the central problems of machine translation (MT) - the lack of linguistic resources for many domains and languages that are the object of machine translation. The main goal is to find, analyse and evaluate novel methods that exploit comparable corpora in order to compensate for this shortage of linguistic resources, and ultimately to improve significantly MT quality for under-resourced languages and narrow domains.

Contacts: Bogdan Babych, Serge Sharoff

Pages in this document

  1. Research & Innovation
  2. Track record in funded projects
  5. eColoRe
  6. eColoMedia
  7. eColoTrain
  8. EvIDence
  9. Intellitext
  10. HyghTra
  11. Kelly
  12. LangCorp
  13. Mellange
  14. MITRAS
  15. MULIMO
  16. MyExhibition
  17. NNI
  18. ORCIT
  19. ReadingCorp
  20. TAUS
  21. TTC
  22. WebDoc