Vs and OOVs: Two Problems for Translation between German and English
Sara Stymne, Maria Holmqvist, Lars Ahrenberg · Workshop on Statistical Machine Translation · 2010
In this paper we report on experiments with three preprocessing strategies for improving translation output in a statistical MT system. In training, two reordering strategies were studied: (i) reorder on the basis of the alignments from Giza++, and (ii) reorder by moving all verbs to the end of segments. In translation, out-of-vocabulary words were preprocessed in a knowledge-lite fashion to identify a likely equivalent. All three strategies were implemented for our English↔German system submitted to the WMT10 shared task. Combining them lead to improvements in both language directions.