Recursive Neural Network Based Preordering for English-to-Japanese Machine Translation
Yuki Kawara, Chenhui Chu, Yuki Arase · 2018
The word order between source and target languages significantly influences the translation quality in machine translation.Preordering can effectively address this problem.Previous preordering methods require a manual feature design, making language dependent design costly.In this paper, we propose a preordering method with a recursive neural network that learns features from raw inputs.Experiments show that the proposed method achieves comparable gain in translation quality to the state-of-the-art method but without a manual feature design.