Thanks, Found it
On Fri, Jun 14, 2013 at 11:35 AM, Hieu Hoang <[email protected]> wrote: > > > 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 > > > _______________________________________________ > Moses-support mailing list > [email protected] > http://mailman.mit.edu/mailman/listinfo/moses-support > >
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