2008/11/12 Felipe Sánchez Martínez <[EMAIL PROTECTED]>: > > Hi all, >
Hi Felipe. > I am working with an n-best list generated with Moses. My question is, > which are the individual component scores (unweigthed) obtained? > > Suppose the following entry in an n-best list: > > 4 ||| así . ||| d: 0 -0.619042 0 0 0 0 0 lm: -11.4288 tm: -4.84733 > -6.39323 -6.90676 -7.23185 0.999896 w: -2 ||| -2.40665 > > * "4" > -> the number of the sentence > * "así ." > -> the output sentence > * "d: 0 -0.619042 0 0 0 0 0" > -> No idea ¿? > * "lm: -11.4288" > -> I suppose "lm:" stands for language model (log probability). > Is this correct? > * "tm: -4.84733 -6.39323 -6.90676 -7.23185 0.999896" > -> I suppose "tm:" stands for translation model. But, > to which translation model correspond each different value? > * "w: -2" > -> I suppose "w:" stands from word penalty. > * "-2.40665" > -> weighted overall socore. > http://www.statmt.org/jhuws/?n=Projects.Tuning "Example: d:1,0.5-1.5 lm:1,0.5-1.5 tm:0.3,0.25-0.75;0.2,0.25-0.75;0.2,0.25-0.75;0.3,0.25-0.75;0,-0.5-0.5 w:0,-0.5-0.5 sets one weight for the distortion model, starting with 1, then randomized from 0.5-1.5 one weight for the language model, starting with 1, then randomized from 0.5-1.5 five weights for the translation model: the first starting at 0.3, then randomized from 0.25-0.75 the first starting at 0.2, then randomized from 0.25-0.75 the first starting at 0.2, then randomized from 0.25-0.75 the first starting at 0.3, then randomized from 0.25-0.75 the first starting at 0, then randomized from -0.5 to 0.5 one weight for the word penalty, starting with 0, then randomized from -0.5 to 0.5" > > I have been looking for this information in the list archive but my > search was fruitless. > http://www.statmt.org/moses/?n=Moses.AdvancedFeatures might be useful, too. _______________________________________________ Moses-support mailing list [email protected] http://mailman.mit.edu/mailman/listinfo/moses-support
