An Empirical Study on Development Set Selection Strategy for

This paper describes a statistical machine translation system for our participation for the WMT10 shared task. Based on MOSES, our system is capable of translat-ing German, French and Spanish into En-glish. Our main contribution in this work is about effective parameter tuning. We discover that there is a significant perfor-mance gap as different development sets are adopted. Finally, ten groups of devel-opment sets are used to optimize the model weights, and this does help us obtain a sta-ble evaluation result.