TerrorCat: a Translation Error Categorization-based MT Quality Metric

We present TerrorCat, a submission to the WMT’12 metrics shared task. TerrorCat uses frequencies of automatically obtained translation error categories as base for pairwise comparison of translation hypotheses, which is in turn used to generate a score for every translation. The metric shows high overall correlation with human judgements on the system level and more modest results on the level of individual sentences. Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-63325 Published Version Originally published at: Fishel, Mark; Sennrich, Rico; Popović, Maja; Bojar, Ondřej (2012). TerrorCat: a translation error categorization-based MT quality metric. In: NAACL 2012 7th workshop on Statistical Machine Translation, Montreal, Canada, 7 June 2012 8 June 2012, 64-70.