Paper: Automatically Learning Source-side Reordering Rules for Large Scale Machine Translation

ACL ID C10-1043
Title Automatically Learning Source-side Reordering Rules for Large Scale Machine Translation
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010
Authors

We describe an approach to automatically learn reordering rules to be applied as a preprocessing step in phrase-based ma- chine translation. We learn rules for 8 dif- ferent language pairs, showing BLEU im- provements for all of them, and demon- strate that many important order trans- formations (SVO to SOV or VSO, head- modifier, verb movement) can be captured by this approach.