The syntax augmented MT (SAMT) system for the shared task in the 2007 ACL Workshop on Statistical Machine Translation

Authors:
Andreas Zollmann;Ashish Venugopal;Matthias Paulik;Stephan Vogel
Affiliations:
Carnegie Mellon University, University of Karlsruhe;Carnegie Mellon University, University of Karlsruhe;Carnegie Mellon University, University of Karlsruhe;Carnegie Mellon University, University of Karlsruhe
Venue:
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
Year:
2007

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Abstract

We describe the CMU-UKA Syntax Augmented Machine Translation system 'SAMT' used for the shared task "Machine Translation for European Languages" at the ACL 2007 Workshop on Statistical Machine Translation. Following an overview of syntax augmented machine translation, we describe parameters for components in our open-source SAMT toolkit that were used to generate translation results for the Spanish to English in-domain track of the shared task and discuss relative performance against our phrase-based submission.