Thus, we propose three novel, language-independent approaches to source language adaptation for resource-poor statistical machine translation.
we build improved statistical machine translation models from a resource-poor language POOR into a target language TGT by adapting and using a large bitext for a related resource-rich language RICH and the same target language TGT.