Combination of Statistical Word Alignments Based on Multiple Preprocessing Schemes

Jakob Elming, Nizar Habash

Abstract: We present an approach to using multiple preprocessing schemes to improve statistical word alignments. We show a relative reduction of alignment error rate of about 38%.