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Neural machine Translation

Statistical Machine Translation

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Task Based Metrics

Task based evaluation of machine translation tests the usefulness of machine translation output to perform a given task.

Task Based Metrics is the main subject of 13 publications. 2 are discussed here.

Publications

One test for the understanding of translated texts is to answer who, when, and where questions (Voss and Tate, 2006). Jones et al. (2006) use a foreign language learner test for measuring speech-to-speech machine translation performance. The adaptation of such a test (the Defense Language Proficiency Test, DLPT) for machine translation revealed that Arabic–English machine translation performance achieves a passing grade up to level 2+, but has a relatively weak performance on basic levels.

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New Publications

  • Bentivogli et al. (2018)
  • Ageeva et al. (2015)
  • Sugiyama et al. (2015)
  • Russell and Gillespie (2016)
  • Matsuzaki et al. (2015)
  • Berka et al. (2011)
  • Wang and Boitet (2013)
  • Ogden et al. (2009)
  • Tate (2008)
  • Schneider et al. (2010)
  • Jones et al. (2007)

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