A Unified Framework for Phrase-Based, Hierarchical, and Syntax-Based Statistical Machine Translation
Hieu Hoang, Philipp Koehn, Adam Lopez · 2009
Despite many differences between phrase-based, hier-archical, and syntax-based translation models, their train-ing and testing pipelines are strikingly similar. Draw-ing on this fact, we extend the Moses toolkit to imple-ment hierarchical and syntactic models, making it the first open source toolkit with end-to-end support for all three of these popular models in a single package. This extension substantially lowers the barrier to entry for machine translation research across multiple models. 1.