Private Access to Phrase Tables for Statistical Machine Translation
Nicola Cancedda · 2012
Some Statistical Machine Translation systems never see the light because the owner of the appropriate training data cannot release them, and the potential user of the system cannot disclose what should be translated. We propose a simple and practical encryption-based method addressing this barrier. 1