Date of Original Version
Proceedings of the Workshop on Statistical Machine Translation (SMT)
Copyright 2011 ACL
Abstract or Description
This paper describes the German-English translation system developed by the ARK research group at Carnegie Mellon University for the Sixth Workshop on Machine Translation (WMT11). We present the results of several modeling and training improvements to our core hierarchical phrase-based translation system, including: feature engineering to improve modeling of the derivation structure of translations; better handing of OOVs; and using development set translations into other languages to create additional pseudoreferences for training.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.
Proceedings of the Workshop on Statistical Machine Translation (SMT), 337-343.