We have shown that our predictive model can select a source language -based on only monolingual features of the source and target languages -that improves tagger accuracy compared to choosing the single, best-overall source language.
if parallel data is available, our predictive model is able to leverage this to select a more appropriate source language and obtain further improvements in accuracy.