Publications
Authors:
  • Lucia Specia , Nicola Cancedda , Marc Dymetman
Citation:
LREC 2010 (Seventh international conference on Language Resources and Evaluation), Malta, 17-23 May 2010 <BR> Full paper available on <a href=http://www.lrec-conf.org/proceedings/lrec2010/pdf/504_Paper.pdf> LREC 2010 website </a>
Abstract:
We describe a dataset containing 16,000 translations produced by four machine
translation systems and manually annotated for quality by professional transla-
tors. This dataset can be used in a range of tasks assessing machine translation evaluation metrics, from basic correlation analysis to training and test of learning-based metrics. By providing a standard dataset for such tasks, we expect to encourage the development of better MT evaluation metrics.
Year:
2010
Report number:
2009/084