there is a large amount of randomness involved with parameter tuning.  each
time you run it (using the same language resources) you might get different
parameters,

also, the parameters are not scaled.  this means that one run might give you
these values:

10 20 30

and the next run might give you these ones:

0.1 0.2 0.3

Miles

On 2 May 2010 09:34, Somayeh Bakhshaei <[email protected]> wrote:

>
> Hi All,
>
> A problem:
> Isn't it true that the parameter tuning must gain the structure of the
> language so  i must get the same set of tuned parameters sets with different
> kind of tune sets?
> So why with changing the tuning set i get different amounts for parameters?
>
>
> another awful result:
>
> I changed my test set, the Bleu result changed from 19 to 3 !!!!!
> How its may while there is no overlap between none of the test sets and
> train set?!!
> ------------------
> Best Regards,
> S.Bakhshaei
>
> _______________________________________________
> Moses-support mailing list
> [email protected]
> http://mailman.mit.edu/mailman/listinfo/moses-support
>
>


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