Machine Translation Quality Estimation Adapted to the Translation Workflow

نویسندگان

  • Sabine Hunsicker
  • Alexandru Ceausu
چکیده

The varying quality of machine translation (MT) poses a problem for language service providers (LSPs) which want to use MT to make the translation production process more efficient. In this user study we describe the MT confidence score we developed. It predicts the quality of a segment translated by MT and it is fully integrated into the translation workflow.

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تاریخ انتشار 2015