The LOGON MT demonstrator assembles independently valuable general-purpose NLP components into a machine translation pipeline that capitalizes on output quality. The demonstrator embodies an interesting combination of hand-built, symbolic resources and stochastic processes. h1 , { h1 :proposition m(h3 ), h4 :proper q(x5 , h6 , h7 ), h8 :named(x5,‘Bodø’), h9 : populate v(e2 , , x5 ), h9 : densely r(e2 ) }, { h 3 =q h9 , h6 =q h8 } Figure 1: Simplified MRS representation for the utterance ‘Bodø is densely populated.’ The core of the structure is a bag of elementary predications (EPs), using distinguished.
