Paper: Phrasetable Smoothing For Statistical Machine Translation

ACL ID W06-1607
Title Phrasetable Smoothing For Statistical Machine Translation
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2006
Authors

We discuss different strategies for smooth- ing the phrasetable in Statistical MT, and give results over a range of translation set- tings. We show that any type of smooth- ing is a better idea than the relative- frequency estimates that are often used. The best smoothing techniques yield con- sistent gains of approximately 1% (abso- lute) according to the BLEU metric.