Tera-Scale Translation Models via Pattern Matching

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 algorithmic scaling technique can be used to easily handle very large models. Using this technique, we explore several large model variants and show an improvement

• Type: Conference
• Year: 2008
• Where: COLING
• Authors: Adam Lopez
• Keywords: Algorithmic Scaling Technique, COLING 2008, Computational Linguistics, Large Model, Translation Model Size