Refinements to Interactive Translation Prediction Based on Search Graphs
Philipp Koehn, Chara Tsoukala, Hervé Saint-Amand · 2014
We propose a number of refinements to the canonical approach to interactive translation prediction.By more permissive matching criteria, placing emphasis on matching the last word of the user prefix, and dealing with predictions to partially typed words, we observe gains in both word prediction accuracy (+5.4%) and letter prediction accuracy (+9.3%).