Combining resources for open source machine translation.
Eric Nichols, Francis T. Bond, Darren Scott Appling, Yūji Matsumoto · 2007
In this paper, we present a Japanese→English machine trans-lation system that combines rule-based and statistical translation. Our system is unique in that all of its components are freely available as open source software. We describe the development of the rule-based translation engine including transfer rule acquisition from an open bilingual dictionary. We also show how translations from both translation engines are combined through a simple ranking mechanism and compare their outputs. 1