International Workshop on Spoken Language Translation (IWSLT) 2009

Tokyo, Japan
December 1-2, 2009

A Unified Framework for Phrase-Based, Hierarchical, and Syntax-Based Statistical Machine Translation

Hieu Hoang, Philipp Koehn, Adam Lopez

School of Informatics, University of Edinburgh, Scotland, UK

Despite many differences between phrase-based, hierarchical, and syntax-based translation models, their training and testing pipelines are strikingly similar. Drawing on this fact, we extend the Moses toolkit to implement 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.

Full Paper     Presentation (pdf)

Bibliographic reference.  Hoang, Hieu / Koehn, Philipp / Lopez, Adam (2009): "A unified framework for phrase-based, hierarchical, and syntax-based statistical machine translation", In IWSLT-2009, 152-159.