Neural Interactive Translation Prediction
Rebecca E. Knowles, Philipp Koehn · Edinburgh Research Explorer (University of Edinburgh) · 2016
We present an interactive translation prediction method based on neural machine translation. Even with the same translation quality of the underlying machine translation systems, the neural prediction method yields much higher word prediction accuracy (61.6% vs. 43.3%) than the traditional method based on search graphs, mainly due to better recovery from errors. We also develop efficient means to enable practical deployment.