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Description
  • 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.
  • 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. (en)
Title
  • TerrorCat: a Translation Error Categorization-based MT Quality Metric
  • TerrorCat: a Translation Error Categorization-based MT Quality Metric (en)
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  • TerrorCat: a Translation Error Categorization-based MT Quality Metric
  • TerrorCat: a Translation Error Categorization-based MT Quality Metric (en)
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  • RIV/00216208:11320/12:10130042!RIV13-MSM-11320___
http://linked.open...avai/predkladatel
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  • I
http://linked.open...vai/riv/dodaniDat
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  • 173968
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  • RIV/00216208:11320/12:10130042
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  • metric; quality; based; categorization; error; translation; terrorcat (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [21259C286D0D]
http://linked.open...v/mistoKonaniAkce
  • Montréal, Canada
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  • Montréal, Canada
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  • Proceedings of the Seventh Workshop on Statistical Machine Translation
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  • Bojar, Ondřej
  • Fishel, Mark
  • Popović, Maja
  • Sennrich, Rico
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Association for Computational Linguistics
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  • 978-1-937284-20-6
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  • 11320
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