Paper: TrustRank: Inducing Trust in Automatic Translations via Ranking

ACL ID P10-1063
Title TrustRank: Inducing Trust in Automatic Translations via Ranking
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2010
Authors

TheadoptionofMachineTranslationtech- nology for commercial applications is hampered by the lack of trust associated with machine-translated output. In this pa- per, we describe TrustRank, an MT sys- tem 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 trans- lation quality, and show that our solution works on a wide variety of domains and language pairs.