Prediction Improves Simultaneous Neural Machine Translation
Ashkan Alinejad, Maryam Siahbani, Anoop Sarkar · 2018
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.