The ISI/USC MT system.
Ignacio Thayer, Emil Ettelaie, Kevin K. Knight, Daniel Marcu, Dragos Stefan Munteanu, Franz Josef Och, Quamrul Tipu · 2004
The ISI/USC machine translation system is a statistical sys-tem based on a phrase translation model that is trained on bilingual parallel data. This translation model is combined with several other knowledge sources in a log-linear manner. The weights of the individual components in the log-linear model are set by an automatic parameter-tuning method. The system described here has been developed for translating news text, and is a simplified version of the one we partic-ipated with in the NIST 2004 MT evaluation. We give a brief overview of the components of the system and discuss its performance at IWSLT. 1. The ISI/USC Machine Translation System Our machine translation system uses a log-linear model to combine several different knowledge sources into a direct