FBK’s Machine Translation Systems for the IWSLT 2013 Evaluation Campaign

نویسندگان

  • Nicola Bertoldi
  • M. Amin Farajian
  • Prashant Mathur
  • Nicholas Ruiz
  • Marcello Federico
چکیده

This paper describes the systems submitted by FBK for the MT track of IWSLT 2013. We participated in the EnglishFrench as well as the bidirectional Persian-English translation tasks. We report substantial improvements in our English-French systems over last year’s baselines, largely due to improved techniques of combining translation and language models. For our Persian-English and English-Persian systems, we observe substantive improvements over baselines submitted by the workshop organizers, due to enhanced language-specific text normalization and the creation of a large monolingual news corpus in Persian.

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تاریخ انتشار 2013