A dependency-based word reordering approach for Statistical Machine Translation
2008 IEEE International Conference on Research, Innovation and Vision for the Future in Computing and Communication Technologies, 2008
Reordering is of crucial importance for machine translation. Solving the reordering problem can l... more Reordering is of crucial importance for machine translation. Solving the reordering problem can lead to remarkable improvements in translation performance. In this paper, we propose a novel approach to solve the word reordering problem in statistical machine translation. We rely on the dependency relations retrieved from a statistical parser incorporating with linguistic hand-crafted rules to create the transformations. These dependency-based
Uploads
Papers by MAI NGỌ