Diagnostic evaluation of machine translation systems using automatically constructed linguistic check-points

  • Authors:
  • Ming Zhou;Bo Wang;Shujie Liu;Mu Li;Dongdong Zhang;Tiejun Zhao

  • Affiliations:
  • Microsoft Research Asia, Beijing, China;Harbin Institute of Technology, Harbin, China;Harbin Institute of Technology, Harbin, China;Microsoft Research Asia, Beijing, China;Microsoft Research Asia, Beijing, China;Harbin Institute of Technology, Harbin, China

  • Venue:
  • COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present a diagnostic evaluation platform which provides multi-factored evaluation based on automatically constructed check-points. A check-point is a linguistically motivated unit (e.g. an ambiguous word, a noun phrase, a verb~obj collocation, a prepositional phrase etc.), which are pre-defined in a linguistic taxonomy. We present a method that automatically extracts check-points from parallel sentences. By means of checkpoints, our method can monitor a MT system in translating important linguistic phenomena to provide diagnostic evaluation. The effectiveness of our approach for diagnostic evaluation is verified through experiments on various types of MT systems.