A systematic evaluation of MBOT in statistical machine translation.
Nina Seemann, Fabienne Braune, Andreas Maletti · 2015
Shallow local multi-bottom up tree transducers (MBOTs) have been successfully used as trans-lation models in several settings because of their ability to model discontinuities. In this con-tribution, several additional settings are explored and evaluated. The first rule extractions for tree-to-tree MBOT with non-minimal rules and for string-to-string MBOT are developed. All existing MBOT systems are systematically evaluated and compared to corresponding base-line systems in three large-scale translation tasks: English-to-German, English-to-Chinese, and English-to-Arabic. Particular emphasis is placed on the use of discontinuous rules. The devel-oped rule extractions and analysis tools will be made publicly available. 1