Thank You German and Hie for your reply It is just from what I noticed that the transition score of a hypothesis is it is score minus the score of the hypothesis stated in the "Back" field.(am I right? )
Also I tried multiplying the core scores with the weights from moses.ini (and then sum over the multiplication), but I did not get the the right score indicated by the hypothesis above. How can I know the correct ordering of the core scores so that I achieve correct multiplication ? Thanks, Salameh On Fri, Jun 14, 2013 at 2:23 AM, Hieu Hoang <[email protected]> wrote: > German is right, the extra score is for the feature > UnknownWordPenalty > It's usually not shown because it's weight doesn't need to be tuned. > > To 'unhide' it, put this in your ini file > UnknownWordPenalty tuneable=true > > On 14 June 2013 09:55, Germán Sanchis Trilles <[email protected]>wrote: > >> Hi, >> >> there are 15 core scores because one of them (probably one of the zeroes >> in the example you provided) is the out-of-vocabulary penalty, which is >> zero if there is none, or -100 for each OoV. >> >> The "score", afaik, is the accumulated score, while the "transition" is >> the combination of the "core" scores, which you should be able to achieve >> by multiplying the "core" scores by the weights in the moses.ini, taking >> into account that the order has to match and that there is a OoV penalty (0 >> in this case) with weight 1. >> >> Cheers, >> >> Germán >> >> >> >> >> >> On Thu, 13 Jun 2013, Mohammad Salameh wrote: >> >> Hi I am working on the osgx file and I want to make sure what the core >>> scores in bold >>> below means. >>> >>> 0 hyp=92 stack=1 back=0 score=-1.622 transition=-1.622 forward=2346 >>> fscore=-7.220 >>> covered=4-4scores="core=0.000,**-1.000,-1.705,-1.946,-4.290,-** >>> 3.850,1.000,0.000,0.000,-0.**336,0.000,0 >>> .000,0.000,-4.000,-15.454) " out="reject|AlrAfDp" >>> >>> >>> Each hypothesis has 15 core features while the moses,ini below has 14 >>> features. Why is >>> there an extra score? >>> >>> >>> LexicalReordering0= 0.0763367 0.00720199 0.0806019 0.0411903 0.0565713 >>> 0.0805696 >>> Distortion0= 0.0400278 >>> LM0= 0.0903804 >>> WordPenalty0= -0.168358 >>> TranslationModel0= 0.0558195 0.0296544 0.0225311 0.0427546 0.208002 >>> >>> Also, are the core scores used to compute the hypothesis score=-1.622 >>> the above ? >>> >>> Regards, >>> Salameh >>> >>> >>> >> _______________________________________________ >> Moses-support mailing list >> [email protected] >> http://mailman.mit.edu/mailman/listinfo/moses-support >> >> > > > -- > Hieu Hoang > Research Associate > University of Edinburgh > http://www.hoang.co.uk/hieu > >
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