Further Experiments with Shallow Hybrid MT Systems

Abstract

We describe our hybrid machine trans-lation system which has been developed for and used in the WMT10 shared task. We compute translations from a rule-based MT system and combine the re-sulting translation “templates ” with par-tial phrases from a state-of-the-art phrase-based, statistical MT engine. Phrase sub-stitution is guided by several decision factors, a continuation of previous work within our group. For the shared task, we have computed translations for six lan-guage pairs including English, German, French and Spanish. Our experiments have shown that our shallow substitu-tion approach can effectively improve the translation result from the RBMT system; however it has also become clear that a deeper integration is needed to further im-prove translation quality. 1