%0 Conference Proceedings %T Prediction Improves Simultaneous Neural Machine Translation %A Alinejad, Ashkan %A Siahbani, Maryam %A Sarkar, Anoop %Y Riloff, Ellen %Y Chiang, David %Y Hockenmaier, Julia %Y Tsujii, Jun’ichi %S Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing %D 2018 %8 oct nov %I Association for Computational Linguistics %C Brussels, Belgium %F alinejad-etal-2018-prediction %X Simultaneous speech translation aims to maintain translation quality while minimizing the delay between reading input and incrementally producing the output. We propose a new general-purpose prediction action which predicts future words in the input to improve quality and minimize delay in simultaneous translation. We train this agent using reinforcement learning with a novel reward function. Our agent with prediction has better translation quality and less delay compared to an agent-based simultaneous translation system without prediction. %R 10.18653/v1/D18-1337 %U https://aclanthology.org/D18-1337 %U https://doi.org/10.18653/v1/D18-1337 %P 3022-3027