Paper: Tera-Scale Translation Models via Pattern Matching

ACL ID C08-1064
Title Tera-Scale Translation Models via Pattern Matching
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008
Authors
  • Adam Lopez (University of Edinburgh, Edinburgh UK)

Translation model size is growing at a pace that outstrips improvements in computing power, and this hinders research on many interesting models. We show how an al- gorithmic scaling technique can be used to easily handle very large models. Us- ing this technique, we explore several large model variants and show an improvement 1.4 BLEU on the NIST 2006 Chinese- English task. This opens the door for work on a variety of models that are much less constrained by computational limitations.