Kyoto University Participation to WAT 2016

Code

• github.com/fabiencro/knmt
  OfficialIn papernone★ 0

Abstract

We describe here our approaches and results on the WAT 2016 shared translation tasks. We tried to use both an example-based machine translation (MT) system and a neural MT system. We report very good translation results, especially when using neural MT for Chinese-to-Japanese translation.

Tasks

Reproductions