Paper: Bootstrapping Word Alignment via Word Packing

ACL ID P07-1039
Title Bootstrapping Word Alignment via Word Packing
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007
Authors

We introduce a simple method to pack words for statistical word alignment. Our goal is to simplify the task of automatic word align- ment by packing several consecutive words together when we believe they correspond to a single word in the opposite language. This is done using the word aligner itself, i.e. by bootstrapping on its output. We evaluate the performance of our approach on a Chinese-to-English machine translation task, and report a 12.2% relative increase in BLEU score over a state-of-the art phrase- based SMT system.