Preliminary Experiments on Using Users’ Post-Editions to Enhance a SMT System

نویسندگان

  • Marion Potet
  • Emmanuelle Esperança-Rodier
  • Hervé Blanchon
  • Laurent Besacier
چکیده

The aim is to develop an interactive and iterative translation system able to adapt and improve itself rapidly using user’s feedbacks (collected as translation posteditions). We present a preliminary study in which three methods for integrating feedbacks are tested. The results show that, despite the difficulty to measure the system improvement with automatic metrics (given the small size of our collected post-edition corpus) a small-sized subjective analysis reveals the contribution and prospects of such methods.

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تاریخ انتشار 2011