TrustRank: Inducing Trust in Automatic Translations via Ranking

  title={TrustRank: Inducing Trust in Automatic Translations via Ranking},
  author={Radu Soricut and Abdessamad Echihabi},
The adoption of Machine Translation technology for commercial applications is hampered by the lack of trust associated with machine-translated output. In this paper, we describe TrustRank, an MT system enhanced with a capability to rank the quality of translation outputs from good to bad. This enables the user to set a quality threshold, granting the user control over the quality of the translations. We quantify the gains we obtain in translation quality, and show that our solution works on a… CONTINUE READING
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