Iterative refinement of lexicon and phrasal alignment
Jae Dong Kim, Stephan Vogel · 2007
In a data-driven machine translation system, the lexicon is a core component. Sometimes it is used directly in translation, and some-times in building other resources, such as a phrase table. But up to now little attention has been paid to how the information con-tained in these resources can also used back-wards to help build or improve the lexicon. The system we propose here alternates lexi-con building and phrasal alignment. Evalua-tion on Arabic to English translation showed a statistically significant 1.5 BLEU point im-provement. 1