On 14 June 2013 18:24, Mohammad Salameh <[email protected]> wrote:
> 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 ? > at the beginning, there should be lines like this: FeatureFunction: KENLM0 start: 0 end: 1 FeatureFunction: Distortion0 start: 1 end: 2 FeatureFunction: WordPenalty0 start: 2 end: 3 ... that is the order of the score vector > 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 >> >> > -- Hieu Hoang Research Associate University of Edinburgh http://www.hoang.co.uk/hieu
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