Combining semantic and syntactic generalization in example-based machine translation
Sarah Ebling, Andy Way, Martin Volk, Sudip Kumar Naskar · Zurich Open Repository and Archive (University of Zurich) · 2011
In this paper, we report our experiments in combining two EBMT systems that rely on generalized templates, Marclator and CMU-EBMT, on an English–German translation task. Our goal was to see whether a statistically significant improvement could be achieved over the individual performances of these two systems. We observed that this was not the case. However, our system consistently outperformed a lexical EBMT baseline system.