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
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