Pre- and postprocessing for statistical machine translation into Germanic languages

  • Authors:
  • Sara Stymne

  • Affiliations:
  • Linköping University, Linköping, Sweden

  • Venue:
  • HLT-SS '11 Proceedings of the ACL 2011 Student Session
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this thesis proposal I present my thesis work, about pre- and postprocessing for statistical machine translation, mainly into Germanic languages. I focus my work on four areas: compounding, definite noun phrases, reordering, and error correction. Initial results are positive within all four areas, and there are promising possibilities for extending these approaches. In addition I also focus on methods for performing thorough error analysis of machine translation output, which can both motivate and evaluate the studies performed.