Incremental training provides a way to perform faster, more frequent model updates, enabling keeping the SMT system up-to-date with the most recent data.
we address incrementally updating the reordering model (RM), a component in phrase-based machine translation that models phrase order changes between the source and the target languages, and for which incremental training has not been proposed so far.